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Review Open Access

Thyroid cancer: From molecular insights to therapy (Review)

  • Authors:
    • Zhuozheng Li
    • Nuofan Wang
    • Xiao Li
    • Yongfang Xie
    • Zemin Dou
    • Hongbing Xin
    • Yuzhuo Lin
    • Yan Si
    • Tingting Feng
    • Guohui Wang
  • View Affiliations / Copyright

    Affiliations: School of Life Science and Technology, Shandong Second Medical University, Weifang, Shandong 261053, P.R. China, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, P.R. China, Department of Thyroid and Breast Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu 210000, P.R. China, Department of Ultrasound, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China, Clinical Medicine, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 21000, P.R. China, Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China, Central Laboratory, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China
    Copyright: © Li et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 520
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    Published online on: September 10, 2025
       https://doi.org/10.3892/ol.2025.15266
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Abstract

Thyroid cancer, a prevalent endocrine malignancy with rising global incidence, encompasses four primary subtypes: Papillary (PTC), follicular (FTC), medullary (MTC) and anaplastic thyroid carcinoma (ATC). PTC, accounting for 85‑90% of cases, is primarily driven by BRAF V600E mutations alongside dysregulated non‑coding RNAs, such as long non‑coding RNA metastasis‑associated lung adenocarcinoma transcript 1 and microRNA (miR)‑1270. These alterations collectively activate MAPK signaling, promoting tumorigenesis. Furthermore, PTC exhibits metabolic reprogramming characterized by dysregulated glucose and lipid metabolism, where tumor suppressors, including family with sequence similarity 111 member B and fat mass and obesity‑associated genes, constrain glycolytic flux. FTC, characterized by Ras mutations, exhibits enhanced lipid metabolism and PI3K/AKT pathway activation. Methyltransferase‑like protein 16 and sclerostin domain‑containing protein 1 have been highlighted as regulators of FTC progression. MTC, associated with rearranged during transfection (RET) proto‑oncogene mutations, demonstrates programmed cell death protein‑1/programmed death ligand‑1 pathway involvement, which offers potential immunotherapy targets. ATC, the most aggressive subtype, is characterized by recurrent genetic alterations such as telomerase reverse transcriptase promoter and tumor protein p53 mutations, cAMP‑responsive element‑binding protein 3‑like 1‑driven activation of cancer‑associated fibroblasts and hematological and neurological expressed 1‑stathmin 1 signaling‑mediated invasiveness. Recent diagnostic innovations encompass serum biomarkers, such as stanniocalcin‑1, microRNA signatures (including miR‑26b‑5p) for PTC and MTC detection, radiomics‑based differentiation of ATC from other subtypes and optical imaging techniques for precision diagnosis. Molecularly targeted therapies constitute the cornerstone of current strategies, with vemurafenib inhibiting BRAF/MEK in PTC, sorafenib acting as a multikinase suppressor in FTC, vandetanib blocking RET in MTC and berberine‑doxorubicin combinations overcoming chemoresistance in ATC. Metabolic interventions, including metformin for glucose modulation in PTC and novel delivery systems such as micelle‑encapsulated AB3 for MTC, demonstrate translational potential. The present review summarizes molecular mechanisms, diagnostic tools and emerging therapies while emphasizing the necessity of subtype‑specific approaches to improve clinical outcomes in thyroid oncology.

Introduction

Thyroid cancer, a leading concern among endocrine system tumors, has demonstrated a consistent rise in global incidence. Thyroid cancer ranked as the seventh most common malignancy globally in 2022, with >821,000 reported cases (1). The diverse pathological types and clinical manifestations of thyroid cancer pose notable challenges for both medical research and clinical management. As it occurs within a vital organ within the human endocrine system, thyroid gland dysfunction not only disrupts metabolic homeostasis but also endangers overall health when compromised by cancer progression (2).

Thyroid cancer arises from follicular or parafollicular epithelial cells, representing the most common head and neck malignancy. Thyroid cancer can be histologically classified into several types, including papillary thyroid carcinoma (PTC), follicular thyroid carcinoma (FTC), medullary thyroid carcinoma (MTC) and anaplastic thyroid carcinoma (ATC), with PTC being the most prevalent. The global incidence of thyroid cancer continues to rise, particularly among high-risk groups, such as women, individuals with genetic predispositions or those with a family history of the disease (3).

PTC, accounting for 85–90% of thyroid malignancies, is characterized by papillary structures and a favorable prognosis, yet recurrence and lymph node metastasis remain clinical challenges (4). FTC, comprising ~10% of cases, exhibits greater invasiveness and a higher probability of distant metastasis to the lungs and bones compared with PTC, which necessitates precise and individualized treatment strategies (5). MTC, a neuroendocrine malignancy originating from calcitonin-secreting parafollicular C cells, constitutes 1–5% of thyroid malignancies. The pathogenesis of MTC has been significantly associated with rearranged during transfection (RET) proto-oncogene mutations and exhibits notable hereditary predisposition, notably mediated by gain-of-function mutations, which necessitates comprehensive genetic counseling and multidisciplinary approaches for optimal management (6). ATC, although accounting for only 1–2% of all thyroid malignancies, is the most aggressive form. It is characterized by poor differentiation, rapid progression, a poor prognosis and limited responsiveness to current treatments (7).

The present comprehensive review systematically evaluates recent progress in understanding the four principal histological subtypes of thyroid carcinoma. While PTC remains the most extensively characterized subtype, notable knowledge gaps persist regarding the signaling cascades and metabolic reprogramming in FTC, MTC and ATC, as schematically illustrated in Fig. 1. The present review summarizes notable findings spanning molecular pathogenesis, diagnostic biomarker development and emerging therapeutic modalities specific to these understudied thyroid cancers. Particular emphasis has been placed on delineating subtype-specific molecular signatures that may inform precision diagnostics and targeted intervention strategies. The present review aims to establish a comprehensive framework to guide subsequent mechanistic investigations and clinical translation in thyroid oncology.

Emerging regulatory nodes across
molecular mechanisms, diagnostic biomarkers and therapeutic targets
in papillary, follicular, medullary and anaplastic thyroid
carcinomas. RET, rearranged during transfection; HRAS, Harvey rat
sarcoma viral oncogene homolog; miR, microRNA; TP53, tumor protein
53; TERT, telomerase reverse transcriptase; FNA, fine needle
aspiration; METTL, methyltransferase-like protein; IMUP,
immortalization-upregulated protein; USP14, ubiquitin-specific
protease 14; TIMP-1, tissue inhibitor of MMP-1; BRAF, B-Raf
proto-oncogene, serine/threonine kinase; MKL1, megakaryoblastic
leukemia 1; RET, rearranged during transfection proto-oncogene;
KRAS, Kirsten rat sarcoma viral oncogene homolog; RAS, rat sarcoma
virus; PIK3CA, phosphatidylinositol-4,5-bisphosphate 3-kinase
catalytic subunit α; FLT3, FMS-like tyrosine kinase 3; EZH2,
enhancer of zeste homolog 2; SMYD3, SET and MYND domain containing
3; ARHGAP36, Rho GTPase activating protein 36; AKIP1, A kinase
interacting protein 1; E-cadherin, epithelial cadherin; IGF2BP1,
insulin-like growth factor 2 mRNA-binding protein 1; TFRC,
transferrin receptor; DTL, denticleless E3 ubiquitin protein ligase
homolog; RBX1, ring-box 1; CDK5, cyclin-dependent kinase 5; LKB1,
liver kinase B1; ETV4, ETS variant transcription factor 4; PAX8,
paired box 8; PATZ1, POZ/BTB and AT hook containing zinc finger 1;
CREB3L1, CAMP responsive element binding protein 3 like 1; CXCL10,
C-X-C motif chemokine ligand 10; ICAM1, intercellular adhesion
molecule 1; SRPX2, sushi repeat containing protein X-linked 2F12,
coagulation factor XII; MMP, matrix metalloproteinase; SOSTDC1,
sclerostin domain containing 1; SBSN, Suprabasin; ST6GAL2, ST6
β-galactoside α-2,6-sialyltransferase 2; FAM172A, family with
sequence similarity 172 member A; FAM83F, family with sequence
similarity 83 member F; Siglec-15, sialic acid-binding Ig-type
lectin 15; SLC6A15, solute carrier family 6 member 15; STIM1,
stromal interaction molecule 1; ORAI1, ORAI calcium
release-activated calcium modulator 1; RET-PTC, RET/papillary
thyroid carcinoma; PAX8/PPARγ, PAX8/peroxisome
proliferator-activated receptor gamma; LRRC52-AS1, LRRC52 antisense
RNA 1; cfDNA, cell-free DNA; MAGEA3, melanoma associated antigen
A3; CXCL13+ T, CXCL13-positive T cells; MKI, multikinase
inhibitor; MAPK, mitogen-activated protein kinase; Erk1/2,
extracellular signal-regulated kinases 1 and 2; JNK, c-Jun
N-terminal kinase.

Figure 1.

Emerging regulatory nodes across molecular mechanisms, diagnostic biomarkers and therapeutic targets in papillary, follicular, medullary and anaplastic thyroid carcinomas. RET, rearranged during transfection; HRAS, Harvey rat sarcoma viral oncogene homolog; miR, microRNA; TP53, tumor protein 53; TERT, telomerase reverse transcriptase; FNA, fine needle aspiration; METTL, methyltransferase-like protein; IMUP, immortalization-upregulated protein; USP14, ubiquitin-specific protease 14; TIMP-1, tissue inhibitor of MMP-1; BRAF, B-Raf proto-oncogene, serine/threonine kinase; MKL1, megakaryoblastic leukemia 1; RET, rearranged during transfection proto-oncogene; KRAS, Kirsten rat sarcoma viral oncogene homolog; RAS, rat sarcoma virus; PIK3CA, phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit α; FLT3, FMS-like tyrosine kinase 3; EZH2, enhancer of zeste homolog 2; SMYD3, SET and MYND domain containing 3; ARHGAP36, Rho GTPase activating protein 36; AKIP1, A kinase interacting protein 1; E-cadherin, epithelial cadherin; IGF2BP1, insulin-like growth factor 2 mRNA-binding protein 1; TFRC, transferrin receptor; DTL, denticleless E3 ubiquitin protein ligase homolog; RBX1, ring-box 1; CDK5, cyclin-dependent kinase 5; LKB1, liver kinase B1; ETV4, ETS variant transcription factor 4; PAX8, paired box 8; PATZ1, POZ/BTB and AT hook containing zinc finger 1; CREB3L1, CAMP responsive element binding protein 3 like 1; CXCL10, C-X-C motif chemokine ligand 10; ICAM1, intercellular adhesion molecule 1; SRPX2, sushi repeat containing protein X-linked 2F12, coagulation factor XII; MMP, matrix metalloproteinase; SOSTDC1, sclerostin domain containing 1; SBSN, Suprabasin; ST6GAL2, ST6 β-galactoside α-2,6-sialyltransferase 2; FAM172A, family with sequence similarity 172 member A; FAM83F, family with sequence similarity 83 member F; Siglec-15, sialic acid-binding Ig-type lectin 15; SLC6A15, solute carrier family 6 member 15; STIM1, stromal interaction molecule 1; ORAI1, ORAI calcium release-activated calcium modulator 1; RET-PTC, RET/papillary thyroid carcinoma; PAX8/PPARγ, PAX8/peroxisome proliferator-activated receptor gamma; LRRC52-AS1, LRRC52 antisense RNA 1; cfDNA, cell-free DNA; MAGEA3, melanoma associated antigen A3; CXCL13+ T, CXCL13-positive T cells; MKI, multikinase inhibitor; MAPK, mitogen-activated protein kinase; Erk1/2, extracellular signal-regulated kinases 1 and 2; JNK, c-Jun N-terminal kinase.

PTC

PTC is the most prevalent form of thyroid cancer and its incidence is rising globally. The pathogenesis of PTC is intricate, involving a range of genetic and epigenetic alterations. Among these, the BRAF V600E gene mutation is one of the most frequently observed molecular events in PTC, the pooled sensitivity of IHC for detecting BRAF V600E mutation was 96.8% [95% confidence interval (CI): 94.1–98.3%] (8). This mutation primarily impacts the MAPK signaling pathway, resulting in the persistent activation of the downstream MEK protein, which in turn promotes cell proliferation, differentiation and tumorigenesis (9). A thorough understanding of these molecular mechanisms not only elucidates the pathogenesis of PTC but also identifies key molecular markers for its diagnosis, treatment and prognostic evaluation in the future.

Molecular mechanisms

PTC accounts for 85–90% of all thyroid cancer cases, with its molecular mechanisms being both complex and diverse (4). These mechanisms involve various genetic mutations (such as BRAF, RAS, RET/PTC) and the dysregulated expression of non-coding RNAs (10). Recent studies have highlighted genes, like methyltransferase-like 3 (METTL3), METTL16, METTL7B and transducin-like enhancer of split 4, closely associated with the onset progression invasiveness and prognosis of PTC. Emerging evidence identifies long non-coding RNAs (lncRNAs) among key non-coding RNA regulators driving PTC pathogenesis (11–14). Deciphering these molecular pathways enhances mechanistic insights into PTC pathogenesis, while establishing essential frameworks for early detection, therapeutic development and outcome prediction (Fig. 2).

Dysregulated signaling pathways and
non-coding RNA networks drive PTC pathogenesis at the molecular
level. The schematic delineates the integrated molecular network
driving PTC proliferation, migration and invasion. Key signaling
cascades include the ERK/Fra-1/ZEB1 axis and JAK/STAT pathway,
modulated by non-coding RNAs (lncRNA AK023507 and circ-100395) and
epigenetic regulators (KMT5A). The BRAF V600E mutation activates
MAPK signaling, upregulating glycolytic enzymes (HK2 and LDHA) and
lipid metabolism mediators (SCD1 and FASN). GLUT1-mediated glucose
uptake and metformin-sensitive pathways coordinate metabolic
reprogramming, involving glycolysis-derived pyruvate, fatty acid
oxidation and TCA cycle dynamics. Regulatory nodes such as SREBP1
and YTHDC2 orchestrate lipid biosynthesis, while miR-1270 and TEL4
fine-tune tumor progression. These interconnected mechanisms
collectively sustain PTC malignancy through proliferative signaling
and microenvironment adaptation. The black arrows indicate
conventional signaling pathway interactions; blue arrows
specifically denote metabolic pathway relationships. PTC, papillary
thyroid cancer; Fra-1, Fos-related antigen 1; ZEB1, Zinc finger
E-box binding homeobox 1; JAK, Janus kinase; lncRNA, long
non-coding RNA; KMT5A, lysine methyltransferase 5A; HK2, hexokinase
2; LDHA, lactate dehydrogenase A; SCD1, stearoyl-CoA desaturase 1;
FASN, fatty acid synthase; GLUT1, glucose transporter 1; TCA,
tricarboxylic acid; SREBP1, sterol regulatory element-binding
protein 1; YTHDC2, YT521-B homology domain-containing protein 2;
miR, microRNA TEL4, translocation-Ets-leukemia 4; ABCA1,
ATP-binding cassette subfamily A Member 1; SCAI, suppressor of
cancer cell invasion; SCD1, tearoyl-CoA desaturase 1; REPIN1,
replication initiator 1; GLTC, glucose transporter 4; FTO, fat mass
and obesity-associated gene; FAM111B, family with sequence
similarity 111 member B; KCNJ13, potassium inwardly rectifying
channel subfamily J member 13; PDZK1IP1, PDZK1-interacting protein
1; TMC3, transmembrane channel-like 3; LRP2, low-density
lipoprotein receptor-related protein 2; SREBP1, sterol regulatory
element-binding protein 1; ACC, acetyl-CoA carboxylase; α-KG,
α-ketoglutarate; METTL, methyltransferase-like; IMUP,
immuno-upregulated protein; SRPX2, sushi repeat-containing protein
X-linked 2; ARHGAP36, Rho GTPase-activating protein 36; LRRC52-AS1,
LRRC52 antisense RNA 1; MKL1, megakaryoblastic leukemia 1.

Figure 2.

Dysregulated signaling pathways and non-coding RNA networks drive PTC pathogenesis at the molecular level. The schematic delineates the integrated molecular network driving PTC proliferation, migration and invasion. Key signaling cascades include the ERK/Fra-1/ZEB1 axis and JAK/STAT pathway, modulated by non-coding RNAs (lncRNA AK023507 and circ-100395) and epigenetic regulators (KMT5A). The BRAF V600E mutation activates MAPK signaling, upregulating glycolytic enzymes (HK2 and LDHA) and lipid metabolism mediators (SCD1 and FASN). GLUT1-mediated glucose uptake and metformin-sensitive pathways coordinate metabolic reprogramming, involving glycolysis-derived pyruvate, fatty acid oxidation and TCA cycle dynamics. Regulatory nodes such as SREBP1 and YTHDC2 orchestrate lipid biosynthesis, while miR-1270 and TEL4 fine-tune tumor progression. These interconnected mechanisms collectively sustain PTC malignancy through proliferative signaling and microenvironment adaptation. The black arrows indicate conventional signaling pathway interactions; blue arrows specifically denote metabolic pathway relationships. PTC, papillary thyroid cancer; Fra-1, Fos-related antigen 1; ZEB1, Zinc finger E-box binding homeobox 1; JAK, Janus kinase; lncRNA, long non-coding RNA; KMT5A, lysine methyltransferase 5A; HK2, hexokinase 2; LDHA, lactate dehydrogenase A; SCD1, stearoyl-CoA desaturase 1; FASN, fatty acid synthase; GLUT1, glucose transporter 1; TCA, tricarboxylic acid; SREBP1, sterol regulatory element-binding protein 1; YTHDC2, YT521-B homology domain-containing protein 2; miR, microRNA TEL4, translocation-Ets-leukemia 4; ABCA1, ATP-binding cassette subfamily A Member 1; SCAI, suppressor of cancer cell invasion; SCD1, tearoyl-CoA desaturase 1; REPIN1, replication initiator 1; GLTC, glucose transporter 4; FTO, fat mass and obesity-associated gene; FAM111B, family with sequence similarity 111 member B; KCNJ13, potassium inwardly rectifying channel subfamily J member 13; PDZK1IP1, PDZK1-interacting protein 1; TMC3, transmembrane channel-like 3; LRP2, low-density lipoprotein receptor-related protein 2; SREBP1, sterol regulatory element-binding protein 1; ACC, acetyl-CoA carboxylase; α-KG, α-ketoglutarate; METTL, methyltransferase-like; IMUP, immuno-upregulated protein; SRPX2, sushi repeat-containing protein X-linked 2; ARHGAP36, Rho GTPase-activating protein 36; LRRC52-AS1, LRRC52 antisense RNA 1; MKL1, megakaryoblastic leukemia 1.

The molecular landscape of PTC is notably shaped by mutations in various coding genes, with the BRAF gene mutation being one of the most prevalent. Located on chromosome 7q34, BRAF serves a key role in the Ras/Raf/MEK/ERK signaling pathway. The BRAF V600E mutation is present in up to 90% of PTC cases and leads to the continuous activation of the MEK protein, which promotes cell proliferation and tumorigenesis. This mutation also upregulates hexokinase-2 (HK2), which inhibits upstream tyrosine kinases, thereby further contributing to PTC growth (15). The BRAF V600E mutation enhances cell proliferation and tumor growth by activating the MAPK signaling pathway.

Additional genes, such as METTL3, METTL6 and METTL7B, are associated with the proliferation and migration of PTC (11,12). Overexpression of METTL3 and METTL7B has been shown to facilitate tumor progression, while METTL16 interacts with stearoyl-CoA desaturase 1 to activate lipid metabolism pathways and with YT521-B homology domain-containing protein 2, which inhibits PTC progression (13). By contrast, transducin-like enhancer of split 4 negatively associates with the proliferation, migration and invasion of PTC cells, while promoting the activation of the JAK/STAT signaling pathway (14).

The potassium calcium-activated channel subfamily N member 4 (KCNN4) gene serves an essential role in modulating the proliferation, migration and invasion of PTC cells. Low expression levels of KCNN4 not only hamper tumor progression but also enhance the expression of apoptosis-related genes, which suppresses epithelial-mesenchymal transition (EMT) (16). By contrast, the expression of PDZ domain-containing kidney-specific protein 1-interacting protein 1 (PDZK1IP1) enhances the proliferation and migration of PTC while inhibiting apoptosis (17). Furthermore, C-X-C motif chemokine ligand 10 expression is downregulated in PTC, which has been closely associated with immunity and cellular defense mechanisms (18). C-X-C chemokine receptor type 4 gene upregulation in PTC tissues provides a potential therapeutic target (19). Furthermore, the downregulation of Bcl-2-like protein 11 in PTC results in increased microRNA (miRNA/miR)-300 expression, which influences PTC activity and behavior (20).

Lastly, the genes immortalization-upregulated protein (IMUP), sushi repeat-containing protein, X-linked 2 (SRPX2), ρ GTPase-activating protein 36, leucine-rich repeat-containing protein 52 antisense RNA 1 and megakaryoblastic leukemia 1 are positively associated with the progression of PTC. High expression levels of these genes contributed to the proliferation, migration and invasion of PTC cells, which suggests their utility as potential therapeutic targets (21–25). In glutamine-affinity PTC, the inhibition of glutamine breakdown can reduce mitochondrial respiration, thereby inhibiting PTC activity (26). The family with sequence similarity 111 member B (FAM111B) motif inhibits the glycolytic process in PTC, which in turn prevents its proliferation, migration and invasion (27). As a tumor suppressor, solute carrier family 6 member 15 (SLC6A15) serves a key role in inhibiting the migration and invasion of PTC. The effect of SLC6A15 on PTC cells was associated with intercellular adhesion molecule-1 (ICAM-1). SLC6A15 functions as a tumor suppressor gene and may represent a potential target for the treatment of PTC in the future (28).

Non-coding RNAs, including lncRNAs and miRNAs, are emerging as key regulators in the pathogenesis of PTC Among the lncRNAs, glycolysis-associated regulator of lactate dehydrogenase A (LDHA) post-transcriptional modification 1 (GLTC), which interacts with LDHA, serves an essential role in aerobic glycolysis and enhances cell viability in PTC (29–31). Elevated expression levels of GLTC in PTC tissues correlates with more extensive metastasis, larger tumor size and worse prognosis. Inhibition of GLTC negates the effects of K155-succinylated LDHA, particularly on radioiodine iodine refractory, which suggests its potential as an oncogenic target in PTC (32). Bioinformatic analyses of miRNA-mRNA regulatory networks reveal that miR-204-5p exhibits the broadest regulatory capacity, targeting multiple genes, including tumor necrosis factor receptor superfamily member 12A (TNFRSF12A). Furthermore, miR-146b, miR-204 and miR-7-2 demonstrate stage-specific expression patterns in PTC, while elevated TNFRSF12A and claudin-1 levels correlate with adverse prognostic outcomes in this malignancy (23,33). The expression level of lncRNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) is also upregulated in PTC, suggesting that MALAT1 may serve a carcinogenic role and could potentially serve as a diagnostic marker for PTC (34).

Hsa-miR-1270 is significantly upregulated in PTC cell lines (such as TPC-1 and K1) and human PTC tumors. The regulatory mechanism of hsa-miR-1270 in PTC appears to be primarily associated with the suppressor of cancer cell invasion (SCAI) gene. hsa-miR-1270 can bind to SCAI and negatively regulate the expression of the SCAI gene in PTC cells. Downregulation of hsa-miR-1270 expression inhibits the development of PTC cells both in vitro and in vivo (35). By contrast, overexpression of miR-1270 promotes the proliferation, migration and invasion of PTC cells by targeting REPIN1 (36). Circ-0011058 positively regulates yes-associated protein 1 (YAP1), thereby enhancing PTC proliferation, angiogenesis and radioresistance by acting as a sponge for miR-335-5p (37). Furthermore, miR-106a has been implicated in the carcinogenesis of the lncRNA highly upregulated in liver cancer (HULC). Both HULC and miR-106a are positively associated with cell viability, proliferation, migration, invasion capacity, and the volume and weight of PTC tumors (38). HULC overexpression enhances the activity of the PI3K/AKT and Wnt/β-catenin signaling pathways by upregulating the expression of miR-106a. A positive correlation exists between the expression levels of HOXA3 and HOXA-AS2, with HOXA-AS2 being notably expressed in the cytoplasm of PTC cells (39). Furthermore, FOXD2-AS1 upregulates HOXA3 expression by binding to miR-15a-5p. The global function of the HOXA-AS2/miR-15a-5p/HOXA3 axis serves a notable role in the progression of PTC (40).

In summary, the dysregulation of both coding and non-coding genes significantly contributes to the molecular mechanisms of PTC. These insights not only enhance current understanding of PTC biology but also open the door for novel diagnostic and therapeutic strategies targeting specific genes and pathways involved in PTC progression.

Signaling pathway

PTC involves a variety of signaling pathways that regulate its development, proliferation and invasiveness. IMUP and eva-1 homolog A (EVA1A), along with the key effectors of the Hippo pathway, YAP1 and transcriptional coactivator with PDZ-binding motif, can inhibit the proliferation, migration and invasion of PTC cells, while also inducing apoptosis. EVA1A promotes the progression and EMT of PTC through the Hippo signaling pathway (41). lncRNA AK023507 inhibits the proliferation and metastasis of PTC cells by targeting the β-catenin/Wnt signaling pathway (42). In PTC cell lines, the tumor-suppressive effect of Tektin-4 (TEKT4) downregulation was associated with the silencing of the PI3K/AKT pathway. The downregulation of TEKT4 expression inhibited cell proliferation, colony formation, migration and invasion (43). Overexpression of circ-100395 significantly reduced aerobic glycolysis, proliferation, migration and invasion, while downregulating the PI3K/AKT/mTOR pathway, an effect that was reversed by the PI3K activator 740Y-P. Circ-100395 may exert an anticancer effect in PTC cells by inhibiting the PI3K/AKT/mTOR signaling pathway (44).

SRPX2 promotes proliferation and migration of PTC. SRPX2 serves a role in the malignant development of PTC by activating the PI3K/AKT signaling pathway (22). ATP-binding cassette transporter A1 serves a key role in inhibiting PTC lung metastasis through the ERK/Fos-related antigen 1/zinc finger E-box binding homeobox 1 (ZEB1) pathway (45). METTL3 inactivates the NF-κB pathway through cellular reticuloendotheliosis viral oncogene homolog and v-rel reticuloendotheliosis viral oncogene homolog A, regulates tumor growth together with YT521-B homology domain-containing family protein 2 and tumor-associated neutrophil infiltration, and serves a key tumor suppressor role in PTC carcinogenesis, which expands current understanding of the relationship between N6-methyladenosine (m6A) modification and tumor microenvironment (TME) plasticity (46).

FTO can inhibit glycolysis and the growth of PTC, and its expression has been significantly downregulated in PTC tissues. FTO suppresses the expression of apolipoprotein E (APOE) through insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2)-mediated m6A modification and may inhibit glycolytic metabolism in PTC by regulating the IL-6/JAK2/STAT3 signaling pathway, thereby impeding tumor growth (47). Insulin-like growth factor 1 (IGF1) promotes the proliferation and invasion of PTC via the STAT3 signaling pathway (36,47). Key oncogenes, including leucine-rich repeat kinase 2, solute carrier family 34 member 2, mucin 1, forkhead box protein Q1 and keratin 19, are upregulated in BRAF-enriched subtypes and are associated with oncogenic MAPK and PI3K/AKT signaling pathways (48).

The present review provides a key appraisal of the oncogenic signaling network architecture underlying PTC pathogenesis. Emerging evidence demonstrates that a complex interplay of mitogenic pathways, including MAPK/ERK and PI3K/AKT cascades, coordinately regulates malignant phenotype evolution through modulation of proliferation kinetics, metastatic competence, apoptotic resistance and epithelial-mesenchymal plasticity in PTC models. Particular emphasis has been placed on delineating pathway crosstalk mechanisms that create therapeutic vulnerabilities, with concurrent discussion of preclinical validation strategies for molecularly targeted interventions.

Metabolism

Thyroid cancer is a prevalent malignant tumor within the endocrine system, and its occurrence and progression are closely associated with various metabolic processes. Recent studies have demonstrated that the metabolomic profiles of serum samples from patients with thyroid cancer differ significantly from those of healthy adults. These differences encompass multiple metabolic pathways, including glucose metabolism, lipid metabolism and amino acid metabolism (49,50).

FAM111B expression is negatively associated with glucose uptake and inhibits the growth, migration, invasion and glycolysis of PTC. Methylation of FAM111B mediated by DNA (cytosine-5)-methyltransferase 3β (DNMT3B) accelerates the growth, migration, invasion and glycolysis of PTC cells. The estradiol/DNMT3B/FAM111B axis is a key regulator of PTC growth and progression (27). FTO functions as a tumor suppressor gene in PTC, inhibiting tumor glycolysis. Research has demonstrated that FTO suppresses the expression of APOE through IGF2BP2-mediated mRNA modification and may inhibit glycolytic metabolism in PTC by modulating the IL-6/JAK2/STAT3 signaling pathway, thereby restraining tumor growth (51). Pyruvate carboxylase influences the proliferation and motility of thyroid cell lines. PTC demonstrates metabolic reprogramming characterized by enhanced tricarboxylic acid (TCA) cycle flux that sustains oncogenic bioenergetic demands while generating biosynthetic precursors (52). Mitochondrial oxidative metabolism is elevated in thyroid cancer cells compared with stromal cells. PiggyBac transposable element derived 5 (PGBD5), a gene associated with glucose metabolism, is enriched in inflammatory response pathways and has been correlated with high levels of immune cell infiltration in groups sensitive to paclitaxel and anti-PD-1 treatment. Therefore, PGBD5 may serve as a therapeutic target to inhibit the progression of PTC (53).

Emerging evidence highlights the pivotal role of metabolic reprogramming in PTC progression, with glucose and lipid metabolism emerging as key regulatory axes. In glucose metabolism, pharmacological modulation using metformin suppresses HK2 and glucose transporter 1 (GLUT1) expression, impairing glycolytic flux in PTC models both in vitro and in vivo, which suggests its therapeutic potential as a metabolic adjuvant (54). This effect is synergistically enhanced by BTB domain and CNC homology 1 knockdown, which induces metabolic inflexibility by inhibiting mitochondrial respiration, thereby sensitizing cancer cells to metformin-mediated cytotoxicity (55). Complementary strategies targeting glucose transport (SGLT2 inhibitors) and mitochondrial energetics (mitochondrial glycerol-3-phosphate dehydrogenase inhibition) further demonstrate metabolic vulnerabilities in PTC, associating glucose uptake restriction with oxidative stress-mediated apoptosis and energy crisis (56,57).

Lipid metabolic rewiring similarly contributes to PTC pathogenesis

Obesity-associated PTC progression associates with METTL16-mediated lipid metabolic activation, while lysine methyltransferase 5A (KMT5A) regulates oncogenic lipogenesis through sterol regulatory element-binding protein 1/SCD/fatty acid synthase (FASN) signaling, modulating redox balance and chemotherapy response (13,58). Prognostically relevant lipid signatures involving PDZK1IP1, transmembrane channel-like 3, low-density lipoprotein receptor-related protein 2 and potassium inwardly-rectifying channel subfamily J member 13 genes underscore the clinical implications of lipid metabolism in tumor evolution (59). Beyond canonical pathways, metabolic crosstalk between tumors and microenvironmental adipocytes drives local lipid restructuring, characterized by elevated very long chain saturated fatty acids and polyunsaturated fatty acid metabolism in peritumoral thyroid tissue (60). These findings collectively identify metabolic plasticity, characterized by predominant aerobic glycolysis activity, glutamine dependency and enhanced lipid anabolism, as a hallmark feature of PTC malignancy, with both diagnostic significance and therapeutic potential (61).

Current understanding of metabolic reprogramming in PTC remains predominantly focused on glucose and lipid homeostasis, with amino acid metabolism representing a key knowledge gap in PTC pathobiology. The present review systematically examines therapeutically exploitable mechanisms in glycolytic and lipogenic pathways, while Table I delineates emerging insights into amino acid metabolic networks that warrant further mechanistic interrogation (26,51,53,58,61–101). The paucity of comprehensive studies on glutaminolysis, serine-glycine axis modulation and branched-chain amino acid utilization underscores an urgent need for multi-omics investigations to map the complete metabolic landscape of PTC.

Table I.

PTC therapeutic targets with functional and clinical profiles.

Table I.

PTC therapeutic targets with functional and clinical profiles.

First author, yearKey targetFunctionClinical significance(Refs.)
Abooshahab et al, 2020Sucrose metabolismAltered sucrose metabolism in plasma of patients with thyroid nodulePotential circulating biomarker for distinguishing between malignancy and benignity in indeterminate thyroid nodules(62)
Ambrosi et al, 2017Hobnail variant of PTCAggressive clinical behavior, EMTIndicated a more aggressive form of papillary thyroid carcinoma, highlighting the need for targeted therapies(63)
Aprile et al, 2023BRAF-mutated thyroid carcinomasGlycolytic phenotype, HIF-1α stabilizationCombination of BRAFi and diclofenac restrained glycolytic phenotype, providing a novel therapeutic approach to reduce drug resistance and toxicity(64)
Badziong et al, 2017MCT8Marker of thyroid differentiationDownregulation of MCT8 in thyroid cancer, useful for diagnosing and understanding cancer progression(65)
Bai et al, 2020CDK12Regulated c-Myc/β-catenin pathwayPromoted PTC progression; potential therapeutic target to inhibit cancer proliferation and metastasis(66)
Chen et al, 2021circKIF4AFacilitated malignant progression, suppresses ferroptosisPotential therapeutic target for PTC by targeting the circKIF4A-miR-1231-GPX4 axis(67)
Chen et al, 2021circRAD18Reprogrammed glucose metabolismPromoted tumor growth and metastasis; potential therapeutic target by targeting the circRAD18-miR-516b-PDK1 axis(68)
Chong et al, 2019IL13RA2Enhanced EMTAssociated with advanced tumor stage and lymph node metastasis; potential therapeutic target(69)
Davis et al, 2020T4Stimulated proliferation via integrin αVβ3Cancer-stimulating activity of T4 suggested it as a potential therapeutic target for modulating tumor invasiveness, apoptosis and angiogenesis(70)
Fan and Zhao 2019miR-451aInhibited proliferation, EMT, and induces apoptosisTargets proteasome subunit β type-8; potential therapeutic target for PTC(71)
Feng et al, 2019miRNA genesRegulated cell adhesion molecules, immune responsePotential therapeutic targets for PTC development(72)
Gunjača et al, 2023ST6GAL1Glycosyltransferase involved in thyroid malignanciesHigh mRNA levels associated with lymph node metastasis and reduced survival; potential prognostic marker(73)
Ha et al, 2017MyricetinInduced mitochondrial dysfunctionmediated apoptosisPotential therapeutic agent for human PTC(74)
Hińcza et al, 2020DIRC3No significant association with histopathological or clinical featuresssNo clear clinical significance as a prognostic factor(75)
Hu et al, 2023miR-96-5pRegulated GPC3 expressionPotential therapeutic target for the prevention and treatment of PTC(76)
Hu et al, 2020 hsa_circ_0011290Regulated proliferation, apoptosis, and glycolytic phenotypePotential therapeutic target by targeting the hsa_circ_0011290-miR-1252-FSTL1 axis(77)
Huang et al, 2022FTOSuppressed glycolysis and growth via m6A modificationPotential therapeutic target to inhibit tumor growth and glycolysis by targeting the FTO/APOE axis(51)
Jeon et al, 2020PHGDHInduced stemness and aggressivenessPromoted tumor growth and stemness markers; potential therapeutic target(78)
Jin et al, 2022GLRPredictor of preoperative central lymph node metastasisUseful for determining appropriate treatment strategies for patients with PTC with type 2 diabetes mellitus(79)
Kang et al, 2019Iodine avidityAssociated with thyroglobulin expression, Ki-67 indexHelps in adapting radioiodine dosage for enhanced efficacy(80)
Li et al, 2021 OGT/O-GlcNAcylationPromoted malignancy via YAP activationPotential therapeutic target for manipulating OGT/YAP activity in PTC(81)
Li et al, 2018Glycolysis-related proteinsInvolved in glucose metabolismDifferential expression associated with worse prognosis in various thyroid cancer subtypes(82)
Lu et al, 2021LPL, FATP2, CPT1AKey enzymes in fatty acid metabolismEnhanced fatty acid metabolism promoted tumor progression; potential therapeutic targets(83)
Mardente et al, 2023HHV-6AInduced effects associated with cancer progressionIncreased genomic instability and pro-inflammatory cytokine secretion; potential therapeutic target(84)
Nahm et al, 2017Glucose metabolismInvolved in glucose metabolismDifferential expression associated with worse prognosis in various thyroid cancer subtypes(85)
Nilsson et al, 2021Thyroglobulin expressionAssociated with iodine avidityHelped in adapting radioiodine dosage for enhanced efficacy(86)
Parascandolo et al, 2017Extracellular SOD3Stimulated cancer cell proliferation, inhibits migrationPotential therapeutic target for modulating cancer cell behavior(87)
Piana et al, 2019NOTCH1Regulated cell-cell interactionsPredominantly associated with papillary carcinomas; potential therapeutic target(88)
Sekhar et al, 2023GPX4Regulates ferroptosisPotential therapeutic target for inducing ferroptosis in thyroid cancer cells(89)
Song et al, 2023HIF-1α/YAP signalingRewrites glucose/iodine metabolismPromoted cancer progression; potential therapeutic target for aggressive PTC(90)
Sun et al, 2018RAI therapyImproved overall survivalBeneficial for patients with PTC and cervical lymph node metastases(91)
Valvo et al, 2021ACC2Rate-limiting enzyme for de novo lipid synthesisPotential therapeutic target for overcoming resistance to BRAF (V600E) inhibitors(92)
Wen et al, 2021PDZK1IP1, TMC3, LRP2, KCNJ13Lipid metabolism-related genesPotential prognostic indicators for recurrence in PTC(58)
Wu et al, 2020miR-1256Inhibited cell proliferation and cell cycle progressionPotential therapeutic target by targeting HTR3A in PTC(93)
Xia et al, 2023Lactate metabolism-related lncRNAsInvolved in lactate metabolismPotential prognostic indicators for PTC prognosis, mutation and tumor microenvironment(94)
Xie et al, 2022Glucose metabolism-related genesInvolved in glucose metabolismConstructed prognostic prediction model for PTC; potential therapeutic targets for guiding immunotherapy(53)
Xu and Feng 2019HOXD-AS1Oncogenic lncRNAPotential biomarker for the prediction of clinical progression in PTC(95)
Yu et al, 2018GLSMediated glutamine dependencePotential therapeutic target for the inhibition of glutaminolysis and reducing mitochondrial respiration(26)
Yun et al, 2022Anticancer drug sensitivity-related genetic differencesAffected therapeutic approachesPotential for the development of novel combination therapies for refractory PTC(96)
Zarkesh et al, 2018MMP-9Prognostic biomarkerElevated levels associated with malignant factors; potential biomarker for differentiating PTC from MNG(97)
Zeng et al, 2019HSDL2Regulated lipid metabolism and cell proliferationPromotes tumor progression; potential therapeutic target(98)
Zhang et al, 2019Bcl-2, hsa-miR-181a-5pRegulatory networks in PTCPotential biomarkers for PTC pathogenesis(99)
Zhang et al, 2021Amino acid metabolomicsInvolved in amino acid metabolismPotential biomarkers for early diagnosis of PTC in saliva(100)
Zhao et al, 2023DNA methylationAssociated with lymph node metastasisPotential biomarkers for PTC lymph node metastasis(101)

[i] PTC, papillary thyroid cancer; MCT8, monocarboxylate transporter 8; circKIF4A, circular kinesin family member 4A; miR, microRNA; GPX4, glutathione peroxidase 4; circRAD18; PDK1, 3-phosphoinositide-dependent protein kinase-1; IL13RA2, interleukin-13 receptor subunit α-2; ST6GAL1, β-galactoside α2,6-sialyltransferase 1; DIRC3, disrupted in renal carcinoma 3; FSTL1, follistatin-like 1; FTO, fat mass and obesity-associated gene; APOE, apolipoprotein E; PHGDH, phosphoglycerate dehydrogenase; OGT, O-linked N-acetylglucosamine transferase; YAP, yes-associated protein; LPL, lipoprotein lipase; FATP2, fatty acid transport protein 2; CPT1A, carnitine palmitoyltransferase 1A; HHV-6A, human herpesvirus 6A; HIF-1α, hypoxia inducible factor-1α; RAI, radioactive iodine; ACC2, acetyl-CoA carboxylase 2; PDZK1IP1, PDZ domain-containing kidney-specific protein 1-interacting protein 1; TMC3, transmembrane channel-like 3; LRP2, low-density lipoprotein receptor-related protein 2; KCNJ13, potassium inwardly rectifying channel subfamily J member 13; HTR3A, 5-hydroxytryptamine; HOXD-AS1, HOXD cluster antisense RNA 1; MNG, multinodular goiter; GLS, glutaminase; lncRNA, long non-coding RNA; HSDL2, hydroxysteroid dehydrogenase-like 2; T4, L-thyroxine; SOD3, superoxide dismutase; GLR, glucose-to-lymphocyte ratio; Ki-67, antigen Kiel 67; EMT, epithelial-mesenchymal transition; BRAFi, BRAF inhibitor.

Progress in diagnosis

Increased expression of Stanniocalcin 1 (STC1) in PTC tissues has been associated with an elevated risk of lymph node metastasis. Furthermore, elevated STC1 expression in thyroid lesions may aid in the diagnosis of PTC, which makes it a potentially valuable marker for predicting disease prognosis (102). miRNAs such as miR-221, miR-222, miR-204-5p, miR-7-2 and miR-146b have been identified as potential biomarkers for staging PTC. Furthermore, fibronectin 1, claudin-1, TNFRSF12A, ribosomal protein S6 kinase B1, cyclin T1, specificity protein 1 and chromodomain helicase DNA-binding protein 4 may serve as novel prognostic biomarkers for PTC. The expression of coagulation factor XII (F12) may influence the overall survival (OS) of patients with PTC by modulating metabolic pathways, suggesting that F12 could be a reliable diagnostic and prognostic biomarker for PTC (103). Downregulation of Alu-mediated CDKN1A/p21 transcriptional regulator (APTR) has been associated with tumorigenesis and suggests the potential diagnostic value of APTR in patients with PTC and ATC (104). Lectin microarray analysis of salivary glycoproteins in patients with PTC revealed postoperative normalization of six lectin-binding patterns to levels comparable with healthy volunteers. These findings highlight the potential utility of salivary glycome profiling as a non-invasive prognostic biomarker for PTC. Quantitative alterations in specific lectin-reactive glycostructures may enable clinical stratification of disease progression and therapeutic monitoring in PTC management (55). Matrix metalloproteinases and their inhibitors play a role in PTC cervical metastasis, therefore high expression of matrix metalloproteinase-1 (MMP-1) and its tissue inhibitors in tumor tissue can serve as predictive indicators for tumor metastasis (105). In PTC detection diagnosis, immunohistochemical results demonstrated that E-cadherin negativity, and p53 and BRAF positivity are notable risk factors, while radioiodine refractory therapy can reduce the risk of recurrence (106). A six-gene diagnostic panel incorporating transient receptor potential cation channel subfamily C member 5, teneurin transmembrane protein 1, neural EGFL-like 2, Duchenne muscular dystrophy, solute carrier family 35 member F3 and autism susceptibility candidate 2 demonstrated robust discriminative capacity for differentiating PTC from benign thyroid tissues (107).

Our current routine diagnostic practice for PTC conforms to established medical pathological standards. However, the diagnosis in most early-stage cases is typically established using ultrasound (108–110) and subsequently confirmed by a series of more complex tests (111,112), such as ultrasound-guided fine-needle aspiration biopsy for the definitive diagnosis of PTC. Therefore, the present study summarized the relevant literature on the diagnosis of PTC, with the aim of enhancing current capabilities in the prevention and diagnosis of this condition.

Treatment

In terms of tumor growth, the combination of imatinib and vemurafenib resulted in nearly complete tumor disappearance, with a reduction of ~90%. However, monotherapy was significantly less effective in BCPAP cells expressing platelet-derived growth factor receptor (PDGFR)α (11). Matrine has been shown to induce apoptosis in PTC cells in vitro and inhibit tumor growth by downregulating miR-182-5p in vivo. Matrine, a natural product derived from marine sources, has emerged as a promising alternative for the treatment of various types of cancer, including exerting inhibitory effects in liver cancer and colorectal cancer. Emerging pharmacological evidence demonstrates that Matrine exerts potent anti-neoplastic effects in PTC through multi-modal pro-apoptotic mechanisms (113,114). In PTC-derived TPC-1 and B-CPAP cell models, Matrine induces mitochondrial apoptotic pathway activation characterized by Bcl-2 suppression and caspase-3 activation cascade. Mechanistically, this alkaloid compound mediates tumor growth inhibition via epigenetic regulation of oncogenic miR-182-5p, establishing this miRNA as a therapeutically actionable node in the anti-PTC activity of Matrine (115). The dual regulatory capacity of Matrine in modulating canonical apoptotic signaling pathways and epigenetic RNA networks establishes this alkaloid as a novel therapeutic agent for combination therapies targeting molecular vulnerabilities in PTC.

BRAF inhibitors (BRAFi), including vemurafenib and dabrafenib, have demonstrated notable therapeutic efficacy in the treatment of PTC harboring the BRAF V600E mutation (92,116). However, the development of drug resistance is primarily attributed to the adaptive reactivation of the MAPK signaling pathway, exemplified by mechanisms such as neuroblastoma Ras viral oncogene homolog mutations or the presence of BRAF splice variants that sustain continuous ERK phosphorylation (117). Furthermore, compensatory activation of parallel signaling pathways, notably the IGF-1 receptor (IGF-1R)-mediated PI3K/AKT pathway, contributes to resistance (118). In this context, Sui et al (119) identified nerve/glial antigen 2 (NG2) as a key quaternary structural component implicated in BRAF inhibitor resistance within BRAF V600E-mutant PTC. NG2 modulates the activity of multiple receptor tyrosine kinases (RTKs), including EGFR, fibroblast growth factor receptor (FGFR), human EGFR2, insulin-like growth factor 1 receptor (IGF-1R), vascular endothelial growth factor receptor (VEGFR) and platelet-derived growth factor receptor (PDGFR), via the RTK signaling axis, thereby promoting resistance to BRAFi through the activation of ERK and AKT signaling cascades. These findings indicated that treatment approaches with triple targeted inhibition (such as simultaneously blocking BRAF, MEK and EGFR) or combined immunotherapies might be needed to address drug resistance challenges in this setting (119).

While surgical resection remains the cornerstone of PTC management, emerging multimodal strategies address key limitations in recurrence prevention and metastatic control. Recent advances in nano-theranostics have yielded TME-responsive platforms such as the polypyrrole (Ppy)-poly(vinylimine)-siILK nanocomplex, which integrates photothermal ablation with gene silencing for synergistic anti-PTC efficacy (120). This system leverages near-infrared-activated gelatin-stabilized Ppy for precise photothermal conversion while exploiting pH-responsive charge inversion to mediate lysosomal escape of siILK payloads, achieving dual suppression of primary tumor growth and lymphatic metastasis. Real-time visualization of tumor-specific Ppy localization further enhances therapeutic precision.

Complementary to such technological innovations, clinical optimization requires consideration of endocrine-metabolic variables. Thyroglobulin antibody dynamics, modulated by iodine homeostasis in thyroid TMEs, may serve as both prognostic biomarkers and therapeutic adjuvants, which necessitates personalized dietary iodine regulation during intervention (121).

Collectively, these developments underscore the paradigm shift toward precision multimodality in PTC care. Although radical surgery remains primary for tumor debulking, its combination with photothermal-gene therapy and metabolic modulation provides a multimodal strategy against locoregional recurrence and systemic dissemination, which are key unmet needs in advanced PTC management.

FTC

FTC is a notable type of thyroid cancer and its incidence exhibits distinct trends (122–124) across various regions (125). The incidence rate of FTC in the United States increased significantly from 3.98 in 1980–1984 to 9.88 in 2005–2009. In the United States, non-Hispanic whites have the highest incidence rate of thyroid cancer, followed by Asian/Pacific islanders, Hispanics and non-Hispanic blacks. The pathogenesis of FTC is highly complex, involving numerous genetic and epigenetic alterations. Of these, mutations in the Ras gene are among the most prevalent molecular events associated with FTC (126), with the highest Ras mutation rate (61.5%). Ras gene mutations primarily disrupt the Ras-MAPK signaling pathway, which leads to the abnormal activation of several downstream proteins, such as Raf. This disruption results in aberrant cell proliferation, impaired differentiation and tumor formation (127,128). Previous studies have demonstrated that Ras gene mutations are not only associated with the pathogenesis of FTC but that they are also closely associated with the invasiveness, risk of recurrence and overall prognosis of the disease (129,130).

Molecular mechanisms

lncRNAs may regulate the progression of FTC by influencing cell proliferation, apoptosis, EMT and miRNA expression (131). 1-[1-2,5-dimethyl-1H-pyrrol-3-yl]-2-pyrrolidin-1-ylethanone (IU1) inhibits FTC proliferation and migration by targeting ubiquitin-specific protease 14 (USP14), a deubiquitinating enzyme that affects various cellular processes, including cell survival, DNA repair, endoplasmic reticulum stress, endocytosis and inflammatory responses. IU1 induces autophagy and proteasomal stimulation in a cell type-dependent manner, increasing autophagy in ML1 cancer cells and resulting in decreased proliferation and migration of these cells (132). Piperonine induces apoptosis and autophagy in human FTC cells through the reactive oxygen species (ROS)/AKT signaling pathway (133). Aberrant regulation of suprabasin (SBSN) has been implicated in the development of cancer and immune disorders. The most abundant evidence regarding SBSN comes from cancer research. SBSN expression is the response of cancer cells to anti-tumor T-cell activity. The role of SBSN in adapting to stress conditions, activating pro-survival signaling pathways and angiogenesis is often associated with carcinogenic effects. SBSN influences tumor cell migration, proliferation, angiogenesis, immune cell infiltration and the cancer immune cycle (134). The infiltration of M2 macrophages and regulatory T cells (Tregs) was significantly increased in tumor tissues with high SBSN expression. SBSN may serve a key role in the development of thyroid cancer, tumor dedifferentiation and immunosuppression as an important regulator of tumor immune cell infiltration. The pox virus and zinc finger protein/BTB and AT-hook-containing zinc finger protein 1 gene can inhibit the malignant phenotype of thyroid follicular epithelial cells and thyroid cancer cells, and it participates in the dedifferentiation process of thyroid cancer (135,136).

The knockdown of stromal interaction molecule 1 (STIM1) can reduce the invasion and proliferation of human FTC cells while enhancing the expression of thyroid-specific proteins. STIM1 and ORAI calcium release-activated calcium modulator 1 (ORAI1) calcium channels mediate store-operated calcium entry (SOCE) and regulate various cellular functions. The presence of STIM1 or ORAI1 enhances SOCE in thyroid cancer ML-1 cells, which promotes invasion and the expression of primary sphingosine-1-phosphate and VEGF-2 receptors (137,138). Compared with that in normal tissues, STIM1 protein was upregulated in thyroid cancer tissues, inhibiting the expression of the thyroid-stimulating hormone receptor and thyroid-specific proteins, while increasing iodine absorption (139).

Emerging evidence highlights key molecular drivers in FTC pathogenesis, with dysregulated signaling networks and intercellular communication mechanisms emerging as key therapeutic targets (140,141). The transcription factor prospero homeobox 1 orchestrates angiogenic programming during metastatic dissemination through vascular remodeling mechanisms (142). Similarly, exosome-mediated tumor-stromal crosstalk facilitates malignant progression, as demonstrated by annexin A1-enriched vesicles from SW579 cells inducing proliferative activation and EMT in recipient Nthy-ori3-1 cells via paracrine signaling (143).

Regarding the MAPK signaling pathway, sclerostin domain containing 1 (SOSTDC1) inhibits the proliferation, migration and EMT of FTC cells by inhibiting the PI3K/AKT and MAPK/ERK signaling pathways (144). By contrast, family with sequence similarity 83 member F upregulation serves a pro-cancer role by cross-activating follicular cell transformation through synergizing with the MAPK/TGFβ pathway, which activates thyroid cell migration and causes resistance to chemotherapy (145). Furthermore, β-galactoside α-2,6-sialyltransferase 2 (ST6GAL2)-mediated glycosylation perturbation inhibits Hippo tumor suppressor signaling, establishing a dual-drug node in FTC tumorigenesis (146). Pharmacological modulation using resveratrol reverses ST6GAL2-Hippo axis dysfunction, which highlights the therapeutic potential of pathway-specific inhibitors (146). Concurrently, iron homeostasis disruption via transferrin receptor 1 (TFR1)-dependent ERK hyperactivation creates metabolic vulnerabilities exploitable through iron chelation strategies (147). Cell cycle control mechanisms further contribute to FTC pathobiology. The BRCA1/cyclin-dependent kinase inhibitor 2C tumor suppressor axis constrains cyclin D-CDK4/6 signaling, with CDK4 inhibitor sensitivity demonstrating clinical potential in cyclin D-dysregulated FTC subtypes (148). Genomic landscape analyses reveal recurrent mutations in chromatin remodelers (for example, nuclear receptor corepressor 1), mRNA processing factors [e.g., poly(A) binding protein cytoplasmic 1/3] and mitotic regulators (e.g., cell division cycle 27), which suggests epigenetic vulnerabilities (149). TME reprogramming via fibroblast-mediated signaling amplifies FTC aggressiveness, highlighting stromal co-targeting strategies as promising therapeutic frontiers (150).

This integrated framework (Fig. 3) delineates the molecular architecture of FTC, emphasizing oncogenic drivers across signal transduction, metabolic adaptation and microenvironmental crosstalk, thereby informing precision therapeutic development for thyroid malignancies in the future.

Molecular mechanisms underlying FTC
progression. The diagram systematically delineates: i) Calcium
signaling through ORAI calcium release-activated calcium modulator
1/STIM1 channels; ii) TSH receptor activation; and iii) core
regulatory pathways (TGF-β, MAPK, PI3K/AKT, NF-κB and Hippo)
coordinating cellular proliferation, migration and invasion. Key
components include USP14-mediated autophagy regulation, ERK
activation through the IGF1/TFR1 axis and iron accumulation
facilitated by the FAM83F/SOSTDC1/SBSN/ST6GAL network. Immune
microenvironment interactions featuring Tregs and tumor-associated
macrophages are indicated in the lower right quadrant. Resveratrol
is presented as a potential therapeutic agent targeting these
molecular pathways. The black arrows indicate conventional
signaling pathway interactions. FTC, follicular thyroid cancer;
STIM1, stromal interaction molecule 1; TSH, thyroid stimulating
hormone; USP14, ubiquitin-specific protease 14; IGF1, insulin-like
growth factor 1; TFR1, transferrin receptor 1; SOSTDC1, sclerostin
domain-containing protein 1; SBSN, suprabasin; ST6GAL2,
β-galactoside α-2,6-sialyltransferase 2; Tregs, regulatory T cells;
ORAI, ORAI calcium release-activated calcium modulator 1; PROX1,
prospero homeobox 1; FAM83F, family with sequence similarity 83
member F.

Figure 3.

Molecular mechanisms underlying FTC progression. The diagram systematically delineates: i) Calcium signaling through ORAI calcium release-activated calcium modulator 1/STIM1 channels; ii) TSH receptor activation; and iii) core regulatory pathways (TGF-β, MAPK, PI3K/AKT, NF-κB and Hippo) coordinating cellular proliferation, migration and invasion. Key components include USP14-mediated autophagy regulation, ERK activation through the IGF1/TFR1 axis and iron accumulation facilitated by the FAM83F/SOSTDC1/SBSN/ST6GAL network. Immune microenvironment interactions featuring Tregs and tumor-associated macrophages are indicated in the lower right quadrant. Resveratrol is presented as a potential therapeutic agent targeting these molecular pathways. The black arrows indicate conventional signaling pathway interactions. FTC, follicular thyroid cancer; STIM1, stromal interaction molecule 1; TSH, thyroid stimulating hormone; USP14, ubiquitin-specific protease 14; IGF1, insulin-like growth factor 1; TFR1, transferrin receptor 1; SOSTDC1, sclerostin domain-containing protein 1; SBSN, suprabasin; ST6GAL2, β-galactoside α-2,6-sialyltransferase 2; Tregs, regulatory T cells; ORAI, ORAI calcium release-activated calcium modulator 1; PROX1, prospero homeobox 1; FAM83F, family with sequence similarity 83 member F.

Progress in diagnosis

As a marker for FTC, family with sequence similarity 172 member A (FAM172A) promotes the development of this malignancy. FAM172A serves a key role in the pathogenesis of FTC through the ERK1/2 and JNK signaling pathways. The downregulation of FAM172A can inhibit the proliferation, invasion and migration of FTC cells via these pathways (151). Emerging insights into FTC pathogenesis reveal paradoxical oncogenic signaling activation within canonical tumor suppressor pathways. Mechanistic studies demonstrated that protein kinase A-mediated adenosine monophosphate-activated protein kinase activation via liver kinase B1 (LKB1) phosphorylation exhibits context-dependent tumorigenic effects, with accumulating preclinical and clinical evidence associating LKB1 pathway hyperactivation to FTC progression (152–154). Concurrently, genomic profiling of thyroid malignancies identifies feline McDonough sarcoma-like tyrosine kinase 3 domain mutations as recurrent targetable alterations, although their functional contribution to FTC oncogenesis and clinical utility for precision kinase inhibition therapies remains to be fully elucidated (155).

Treatment

Current therapeutic strategies for advanced FTC encompass diverse advanced modalities, including radioactive iodine (131I) therapy, multikinase inhibitors (MKIs) and RET/NTRK/ALK inhibitors. These approaches target key molecular pathways and resistance mechanisms to enhance therapeutic efficacy in refractory cases.

Targeted therapeutic approaches primarily involve multikinase inhibitors and PI3K pathway modulation. The treatment of advanced FTC primarily relies on indirect evidence derived from clinical trials of MKIs, which are associated with notable toxicity and may adversely affect quality of life in patients. The antitumor effect of the pan-class I PI3K inhibitor buparlisib on refractory follicular carcinoma and poorly differentiated thyroid cancer (PDTC) dysregulation was investigated, given that PI3K pathway dysregulation is commonly observed in advanced FTC and PDTC, and has been associated with tumorigenesis and disease progression. The efficacy of buparlisib in the treatment of advanced FTC and PDTC has been found to be limited. However, the observed reduction in tumor growth rate may suggest that oncogenic pathways and/or escape mechanisms are not entirely inhibited (156).

Natural compounds demonstrate antitumor effects through redox modulation and signaling pathway regulation. Hydroxytyrosol, a prominent phenolic compound present in olive oil, exhibits antitumor effects attributed to its pro-oxidative properties, as well as its capacity to inhibit cell proliferation and promote apoptosis in various tumor cell lines, including MCF-7 and MDA-MB-231 (157). Notably, high doses of hydroxytyrosol have been shown to induce apoptosis in papillary and FTC cells (158). Curcumin induces ferroptosis in FTC through heme oxygenase-1 (HO-1) upregulation (159). Mechanistic studies have revealed that HO-1 serves as a key mediator of oxidative stress regulation, with its abnormal upregulation observed in FTC vs. adjacent tissues. By contrast, elevated HO-1 levels reduce cellular viability via ferroptosis pathway activation (160,161). Curcumin exerts dual antitumor effects by enhancing HO-1 expression to suppress FTC proliferation while potentiating ferroptosis-mediated cell death. These findings position the HO-1-ferroptosis axis as a key therapeutic target in FTC pathogenesis (162). Matrine, a bioactive alkaloid derived from Sophora flavescens, exhibits anti-neoplastic effects in FTC by modulating the miR-21/phosphatase and tensin homolog deleted on chromosome ten (PTEN)/AKT signaling axis. Mechanistic studies have demonstrated that matrine suppresses miR-21 expression, thereby alleviating its inhibitory effect on PTEN (163). The subsequent upregulation of PTEN inactivates AKT phosphorylation, which induces caspase-dependent apoptosis and proliferation arrest in FTC-133 cells. This dual regulation of miRNA and kinase signaling pathways highlights the therapeutic potential of matrine in targeting FTC pathogenesis (163).

Molecular-targeted radiosensitization represents an advanced strategy exploiting specific pathways to overcome radioactive iodine (RAI) resistance. Sorafenib and sunitinib are effective treatment options for delaying disease progression in patients with RAI-refractory metastatic DTC, both demonstrating acceptable safety profiles (164). Furthermore, sunitinib appears to exhibit some efficacy even in patients who experience disease progression following treatment with sorafenib (165). Inhibition of β-catenin expression may enhance the efficacy of radioiodine treatment in invasive FTC cells by modulating the localization of the sodium iodide symporter (NIS). Following the inhibition of β-catenin expression, FTC cells that exhibit high levels of hypoxia inducible factor-1α can be completely suppressed by radioiodine treatment. This mechanism may be associated with the regulation of NIS localization (166).

Chemotherapy remains an alternative for multi-resistant cases. Conventional chemotherapy with a gemcitabine plus oxaliplatin (GEMOX) regimen is an off-label treatment that demonstrates some efficacy and a favorable safety profile in advanced DTC. Dias et al (167) reported a case of metastatic FTC in a patient who developed resistance to multiple therapies. Notably, OS time appeared to be significantly prolonged by this chemotherapy due to durable responses to GEMOX. In conclusion, GEMOX may be a viable option for patients with thyroid cancer who do not respond to MKIs.

Collectively, as shown in Table II (168–190), FTC represents a clinically notable endocrine malignancy characterized by complex pathogenesis involving dysregulation of multiple signaling cascades and molecular biomarkers. The present review summarizes current insights into molecular mechanisms underlying FTC progression, particularly highlighting emerging evidence implicating FAM172A-mediated pathways as potential therapeutic targets. Contemporary management of advanced FTC necessitates consideration of molecularly targeted agents such as MKIs alongside conventional chemotherapeutic protocols, which have demonstrated measurable clinical responses in selected patient cohorts despite non-negligible toxicity profiles. Therefore, optimized therapeutic algorithms for FTC management should incorporate comprehensive biomarker profiling to enable precision medicine approaches while strategically combining multimodal interventions to maximize therapeutic efficacy.

Table II.

FTC therapeutic targets with functional and clinical profiles.

Table II.

FTC therapeutic targets with functional and clinical profiles.

First author, yearKey targetFunctionClinical significance(Refs.)
Heffess and Thompson, 2001Capsular/vascular invasionIndicators of malignancy in FTCDiagnostic criteria for FCMI to guide conservative surgical management and improve patient outcomes(168)
Hernandez-Prera & Wenig 2024Ras mutationsPromoted cell proliferation and signaling pathwaysIdentified Ras-mutant FTCs, aiding in distinguishing between benign and malignant tumors, thus guiding appropriate treatment(169)
Lang et al, 2007Prognostic factorsPredicted survival and recurrence in PTC and FTCTailored staging systems for papillary and follicular thyroid carcinoma to optimize individualized treatment strategies(170)
Levi et al, 2013MMP-2 and MMP-9Involved in tumor invasion and metastasisNon-invasive photoacoustic imaging for early detection of FTC, enhancing early-stage diagnosis and treatment planning(171)
Li et al, 2024Circulating sEV-miRNAsBiomarkers for FTC diagnosisDeveloped a non-invasive miRNA classifier to assist in diagnosing FTC, reducing unnecessary surgeries and improving surgical strategy(172)
Liang et al, 2018lncRNA HCP5Promoted tumor progression via miRNA sponge mechanismIdentified HCP5 as a potential diagnostic and therapeutic target for FTC, contributing to improved diagnosis and therapy(173)
Lin et al, 2022miR-199a-5p/PD-L1 axisRegulated cell proliferation, migration, and invasionInvestigated PD-L1 as a therapeutic target to inhibit tumor progression and metastasis in FTC(174)
Lo et al, 2005 HistomorphologyPredicted survival and recurrence in FTCValidated staging systems specifically for FTC to identify low-risk patients for conservative management(175)
Macerola et al, 2022Trk protein expressionMarker for NTRK rearrangementsLimited accuracy of Trk IHC for identifying NTRK-rearranged tumors; suggested alternative detection methods for effective targeted therapies(176)
Park et al, 2022TERT promoter mutationsAssociated with tumor aggressivenessRefined cancer-specific survival prediction in FTC, improving DFS and CSS predictability(177)
Paulsson et al, 2020DICER1Regulated miRNA processingDownregulation of DICER1 in FTC suggests its role as a tumor suppressor and potential early tumorigenic marker(178)
Pulcrano et al, 2007Cell proliferation markersPredicted prognosis in PDFCIdentified prognostic indicators for PDFC, aiding in patient management and treatment decisions(179)
Repaci et al, 2022BRAF K601N mutationPromoted tumor progression and metastasisReported on unusual BRAF mutations associated with widespread bone metastases, highlighting the need for further research on uncommon BRAF mutations(180)
Romitti et al, 2013MAPK, PI3KInvolved in thyroid tumorigenesis and progressionProvided insights into genetic alterations driving thyroid cancer development, informing potential therapeutic targets(181)
Rossing et al, 2012miR-199b-5p, miR-144Regulated proliferation and tumorigenesisIdentified downregulated miRNAs as potential diagnostic markers and therapeutic targets for FTC(182)
Saburi et al, 2022CD8+ T cells, PD-L1Influenced tumor invasion and immune responseRevealed unique immune profiles at the invasive front of FTC, providing insights into tumor-immune interactions(183)
Staubitz et al, 2019Surgical management strategiesGuided surgical decision-making for FTCDiscussed optimal surgical approaches for FTC, balancing preoperative diagnosis and intraoperative findings(184)
Stenman et al, 2019TERT promoter mutationsAssociated with tumor aggressiveness and spatial heterogeneityHighlighted the importance of TERT promoter mutations in FTC, influencing clinical management and molecular biology understanding(185)
Taylor et al, 1998Radioiodine therapyImproved overall and cancer-specific mortalitySupports the use of radioiodine therapy for high-risk patients with thyroid cancer, enhancing survival outcomes(186)
Thompson, 2023Ki-67 labeling indexMeasured proliferation rateDifferentiated between high-grade differentiated follicular cell-derived thyroid carcinoma and poorly differentiated thyroid carcinoma, aiding in prognosis and treatment(187)
Wenter et al, 2021Oncocytic carcinomaCompared clinical outcomes with classical FTCIdentified OFTC as having a higher recurrence rate and worse disease-free survival, supporting separate categorization(188)
Yu et al, 2022Ultrasound radiomics featuresNon-invasively differentiated FTC from adenomaDeveloped a combined model integrating radiomics and clinical features to reduce unnecessary diagnostic thyroidectomies(189)
Zhang et al, 2021DNA methylation markersDiscriminated FTC from adenomaConstructed a DNA methylation-based prediction model for accurate preoperative diagnosis, reducing unnecessary surgeries(190)

[i] FTC, follicular thyroid cancer; FCMI, minimally invasive FTC; PTC, papillary thyroid cancer; sEV-miRNAs, small extracellular vesicle-microRNA; lncRNA, long non-coding RNA; HCP5, histocompatibility leukocyte antigen complex P5; PD-L1, programmed death ligand-1; Trk, tropomyosin receptor kinase; IHC, immunohistochemistry; NTRK, neurotrophic tyrosine receptor kinase; TERT, telomerase reverse transcriptase; DICER1, dicer 1, ribonuclease III; DFS, disease-free survival; CSS, cause-specific survival; PDFC, poorly differentiated follicular thyroid carcinoma; Ki-67, antigen Kiel 67.

MTC

MTC is a neuroendocrine tumor that originates from parafollicular cells of the thyroid gland. The molecular mechanisms underlying MTC primarily involve mutations in the RET proto-oncogene, which is the most prevalent genetic driver of this cancer (191). Mutations in the RET gene result in alterations to the protein conformation in both the inner and outer regions of cells, leading to excessive cell proliferation and carcinogenesis. In addition to RET mutations, alterations in the Ras gene also contribute to the pathogenesis of MTC, particularly in cases of sporadic MTC.

Recent studies have identified novel pathogenic genes associated with MTC, including BRAF and neurofibromatosis type 1. These findings have enhanced current understanding of the molecular pathological mechanisms underlying MTC. By analyzing the genome, transcriptome, epigenome, proteome and phosphoproteome of a substantial cohort of patients with MTC, researchers have, to the best of our knowledge, created the first comprehensive proteomic profile of MTC globally. This classification based on protein expression profiles offers notable reference data for the precise treatment of MTC (192–194).

Furthermore, the differential expression and gene regulation of miRNA in MTC have garnered notable attention. These studies offer potential biomarkers and therapeutic strategies for the early diagnosis, accurate prognosis and gene therapy of MTC. Collectively, the molecular mechanisms underlying MTC involve the mutation and regulatory expression of multiple genes and these findings contribute to the development of novel therapeutic approaches and the enhancement of patient prognosis.

Molecular mechanisms

From a genetic perspective, RET, Harvey rat sarcoma viral oncogene homolog (HRAS) and KRAS are the most notable genes in MTC. Epigenetically, the development of MTC may be associated with the methylation of the telomerase reverse transcriptase promoter, upregulation of histone methyltransferases such as enhancer of zeste homolog 2 and SET and murine homolog of Max-domain containing 3, and notable fluctuations in non-coding RNAs, including Ras association domain family member 1A (195). Unique transcriptional and functional alterations in myeloid cells manifest prior to tumor invasion and initiate within the bone marrow, indicating their active role in shaping the tumor immune microenvironment (196). The PD-1/PD-L1 pathway is expressed in patients with MTC and has been significantly correlated with intraoperative distant metastasis, positioning it as a potential novel target for MTC treatment (197). A comprehensive understanding of PD-1/PD-L1 expression and its association with immunotherapy response may provide a key foundation to address refractory MTC.

Progress in diagnosis

The management of locally advanced or metastatic MTC necessitates a thorough workup, which includes the measurement of serum procalcitonin and carcinoembryonic antigen, assessment of their doubling times and comprehensive imaging to evaluate the extent of disease, aggressiveness and treatment requirements. Recent advances in MTC diagnostics have established multimodal approaches combining imaging guidance with molecular profiling. Ultrasound-guided fine-needle aspiration integrated with liquid-based cytology and immunocytochemical analysis demonstrates high preoperative diagnostic reliability for MTC through enhanced cellular characterization (198). Complementing this, circulating miRNA signatures (particularly miR-26b-5p and miR-451a) exhibit robust diagnostic accuracy metrics, offering non-invasive diagnostic adjuncts that synergize with conventional techniques to enable precision risk stratification (199). These complementary strategies collectively advance MTC detection paradigms by bridging cytomorphological precision with systemic molecular biomarkers, underscoring their translational potential to optimize clinical decision-making in thyroid oncology.

Treatment

MTC constitutes 1–5% of thyroid malignancies (200). Recent findings have indicated that targeted molecular therapies, which inhibit RET and other tyrosine kinase receptors involved in angiogenesis, enhance progression-free survival in patients with advanced MTC (201–203). Two drugs, vandetanib and cabozantinib, have been approved for the treatment of progressive or symptomatic MTC, while several others (selpercatinib and pralsetinib) have demonstrated variable efficacy (204). Emerging therapeutic strategies for MTC target oncogenic signaling vulnerabilities through multimodal pharmacological interventions. Somatostatin analogs (octreotide/pasireotide) demonstrate selective anti-proliferative effects in RET-driven MTC subsets by modulating neuroendocrine signaling cascades, demonstrating synergistic potential with mitochondrial-targeting agents when combined with kinase inhibitors, such as vandetanib or cabozantinib (205). Notably, ceritinib maintains durable clinical efficacy with favorable toxicity profiles in pretreated MTC cohorts, which suggests ALK-independent therapeutic utility (205).

At the molecular level, mTOR pathway dysregulation in MTC involves protein interacting with carboxyl terminus 1-mediated spliceosomal control, where its upregulation counteracts everolimus-induced cytotoxicity via PTEN suppression and AKT-serine (Ser)473 hyperphosphorylation, revealing novel resistance mechanisms in neuroendocrine neoplasms (206). Concurrently, the glial cell line-derived neurotrophic factor (GDNF)/RET/CDK5/STAT3 signaling axis emerged as a key driver of MTC progression. Mechanistic studies reported that GDNF-induced RET phosphorylation activates cyclin-dependent kinase 5 (CDK5), which phosphorylates STAT3 at Ser727 to sustain proliferative signaling (207–209). This pathway is enhanced by a unique feature of MTC biology, such as direct RET-CDK5 interaction (207).

These findings collectively map therapeutic vulnerabilities across three dimensions: Neuroendocrine receptor modulation, mTOR-AKT crosstalk and RET-kinase network targeting. The identification of CDK5 as a RET-interacting kinase partner particularly highlights its promise as a druggable node for precision intervention strategies in advanced MTC management.

MTC often exhibits resistance to standard therapies, which highlights the need for alternative treatment options. AB3, a novel histone deacetylase inhibitor, has demonstrated efficacy in inhibiting the proliferation of MTC cells in vitro. However, its clinical application in vivo is hindered by poor water solubility and stability, rapid clearance and insufficient tumor targeting ability. Recent advancements in MTC nanotheranostics have yielded precision-targeted delivery systems to optimize therapeutic efficacy (210,211). Engineered single-molecule micelles incorporating AB3 chemotherapeutic payloads with KE108 peptide-directed active targeting demonstrated enhanced tumor-selective accumulation, achieving 2.3-fold greater cytotoxicity in MTC models compared with free drug formulations. This nanoplatform significantly suppresses tumor biomarker expression while mitigating off-target effects key for patients with comorbidities, particularly those with cardiovascular complications requiring blood pressure stability (212). Furthermore, these micelles demonstrated optimal anticancer effects in vivo without notable systemic toxicity, which offers a promising strategy for targeted therapy in MTC.

As shown in Fig. 4, current evidence delineates that the molecular pathogenesis of MTC arises from convergent oncogenic pathways encompassing both genetic drivers (notably the RET proto-oncogene and Ras family members, including HRAS/KRAS) and epigenetic regulators, such as chromatin-modifying enzymes and non-coding RNA networks. Furthermore, the PD-1/PD-L1 pathway is emerging as a promising therapeutic target. From a diagnostic standpoint, ultrasound-guided thyroid fine-needle aspiration combined with liquid-based cytology and immunocytochemistry provides a reliable preoperative diagnostic approach. Furthermore, circulating miRNA profiles have emerged as promising non-invasive biomarkers enabling molecular subtyping in clinical practice. Targeted therapeutic agents, particularly MKIs, have been approved by regulatory agencies or demonstrated clinical efficacy in controlled trials. Recent mechanistic investigations have delineated oncogenic signaling networks governing malignant proliferation, exemplified by CDK5-mediated phosphorylation events that regulate cell cycle progression, providing a mechanistic rationale for novel therapeutic strategies. Notably, targeted delivery of therapies using single-molecule micelles has demonstrated promising anticancer effects both in vitro and in vivo.

Schematic illustrating the
therapeutic and diagnostic mechanisms in MTC. The schematic is
structured as: i) Targeted therapy with tyrosine kinase inhibitors
(vandetanib, cabozantinib and GDNK) blocking RET/VEGFR signaling;
ii) diagnostic workflow exhibiting ultrasound-guided FNA followed
by liquid-based cytology and immunocytochemical analysis; and iii)
molecular mechanisms involving CDK5-mediated STAT3 phosphorylation
at Ser727 (P). The histone deacetylase inhibitor AB3 is shown in
the epigenetic regulation domain (upper left).
Mitochondrial-targeted agents are indicated interacting with
membrane receptors (green, VEGFR; orange, RET). Directional arrows
denote signaling amplification. MTC, medullary thyroid cancer; FNA,
fine-needle aspiration; RET, rearranged during transfection;
Ser727, serine 727; miR, microRNA; P, phosphorylation; GDNF, glial
cell line-derived neurotrophic factor; AB3, A new histone
deacetylase inhibitor.

Figure 4.

Schematic illustrating the therapeutic and diagnostic mechanisms in MTC. The schematic is structured as: i) Targeted therapy with tyrosine kinase inhibitors (vandetanib, cabozantinib and GDNK) blocking RET/VEGFR signaling; ii) diagnostic workflow exhibiting ultrasound-guided FNA followed by liquid-based cytology and immunocytochemical analysis; and iii) molecular mechanisms involving CDK5-mediated STAT3 phosphorylation at Ser727 (P). The histone deacetylase inhibitor AB3 is shown in the epigenetic regulation domain (upper left). Mitochondrial-targeted agents are indicated interacting with membrane receptors (green, VEGFR; orange, RET). Directional arrows denote signaling amplification. MTC, medullary thyroid cancer; FNA, fine-needle aspiration; RET, rearranged during transfection; Ser727, serine 727; miR, microRNA; P, phosphorylation; GDNF, glial cell line-derived neurotrophic factor; AB3, A new histone deacetylase inhibitor.

ATC

ATC is a rare malignancy, accounting for 1–2% of all thyroid cancer cases (7). Despite its rarity, ATC accounts for the majority of thyroid cancer-related deaths (213). The median overall survival of ATC is 3–5 months, and the disease-specific mortality rate is close to 100%. Typically, ATC arises from pre-existing thyroid cancer lesions, as evidenced by the co-existence of differentiated or PDTC regions. Characterized by the accumulation of multiple oncogenic alterations, previous studies have indicated that an increase in the number of these alterations is correlated with a heightened degree of dedifferentiation and invasiveness (214,215). The clinical management of ATC necessitates a multidisciplinary approach, with treatment modalities such as surgery, radiotherapy or chemotherapy being considered in accordance with the latest guidelines from the American Thyroid Association (216). In addition to conventional therapies, novel molecular targeted therapies represent a promising area of emerging treatment (214). These agents frequently include multiple receptor tyrosine kinase inhibitors (TKIs), such as lenvatinib, sorafenib, cabozantinib and vandetanib, several of which have demonstrated notable results in clinical trials (217). Therefore, clinical trials are currently underway to assess the safety, efficacy and effectiveness of these novel pharmacological agents. The present review presents the most recent clinical and pathological features of ATC and explores the molecular biology underlying this disease. Furthermore, the present review discusses the latest literature on traditional therapies, newly available treatments and potential future therapies for ATC (Table III) (218–255).

Table III.

Available treatment options in previously published literature for MTC and ATC.

Table III.

Available treatment options in previously published literature for MTC and ATC.

First author, yearKey targetFunctionClinical significance(Refs.)
Al-Mohanna et al, 2023PAC (curcumin analogue)Induced apoptosis via mitochondrial pathwayPotential therapeutic agent for ATC by overcoming resistance to conventional therapies(218)
Anderson et al, 1978CalcitoninMarker for familial MTCEarly detection marker for MTC, enabling timely surgical intervention(219)
Ballal et al, 2022SA.FAPiTargeted FAP in aggressive MTCProvided a theranostic approach for high-grade MTC refractory to standard treatments, improving quality of life(220)
Bao et al, 2024Siglec-15Promoted immunosuppression and tumor progression in ATCEmerging target for immunotherapy in ATC, aiming to enhance T cell activation and reduce immunosuppression(221)
Biermann et al, 2011TKIs, somatostatin receptorsInhibited tyrosine kinases; target somatostatin receptorsPalliative strategies for advanced thyroid malignancies, addressing ineffective radioiodine therapy and conventional chemotherapies(222)
Ceolin et al, 2019RET proto-oncogeneKey driver in MTC tumorigenesis; mutations lead to hereditary and sporadic MTCIdentified RET as a therapeutic target for advanced MTC, focusingon multikinase inhibitors and next-generation smallmolecule TKIs(223)
Chintakuntlawar et al, 2019Multimodal therapyCombination of chemoradiotherapy and surgery for ATCPreferred initial treatment for ATC, associated with improved overall survival(224)
Choi et al, 2024CPA4Mediated crosstalk between M2 macrophages and ATC cells; promotes proliferation, migration, and invasionPotential therapeutic target for ATC, aiming to disrupt the positive feedback loop between macrophages and cancer cells(225)
Contarino et al, 2022Capsule presenceEncapsulation associated with improved prognosis and absence of nodal metastasesIndicated favorable prognosis in MTC, guiding surgical and follow-up strategies(226)
Cristinziano et al, 2020NETsReleased by viable neutrophils in response to ATCPotential target for therapeutic intervention in ATC, addressing chronic inflammation and cancer progression(227)
D'Aprile et al, 2023CD71Involved in iron internalization; contributes to iron overload tolerance in ATCPotential target to address ferroptosis resistance in ATC, improving therapeutic outcomes(228)
Doolittle et al, 2022 CDK7-NOTCH1-cMYCRegulated CSC activity in ATCTargeting this signaling axis can inhibit CSC activity, providing a promising therapeutic strategy for ATC(229)
Egan et al, 2021CSPG4Transmembrane proteoglycan with increased expression in aggressive thyroid cancerPotential immunotherapeutic target for ATC, correlating with poor prognosis(230)
Harach & Williams 1983CalcitoninMarker for medullary carcinoma with glandular differentiationEssential for accurate diagnosis of medullary carcinoma, even in cases with glandular features(231)
Hu et al, 2023bAlantolactoneInduced apoptosis and pyroptosis via ROS-mediated mitochondria-dependent caspase activationPotential therapeutic agent for ATC, promoting immunogenic cell death(232)
Li et al, 2022Inflammatory markersPredictive of clinicopathological features and postoperative calcitonin progression in MTCUseful prognostic biomarkers for MTC, aiding in risk stratification and treatment planning(233)
Li et al, 2023NISRestored radioiodine uptake in ATCEnhanced the therapeutic efficacy of radioactive iodine, serving as a promising adjunctive therapy for ATC(234)
Li, 2021Pyrvinium pamoateInhibited Wnt signaling, overcoming artemisinin resistance in ATCCombination therapy with artemisinin for managing ATC, addressing drug resistance(235)
Lu et al, 2023Single-cell transcriptomicsRevealed anaplastic transformation process and identifies key milestones in ATCProvided insights into intratumor transformation, highlighting novel therapeutic opportunities(236)
Lu et al, 2021Wee1Regulated G2/M progression; key for DNA damage repairPotential therapeutic target for ATC, combining with other inhibitors to suppress tumor growth(237)
Ma et al, 2023LINC00886Negatively regulated malignancy in ATC by interacting with PKRPotential biomarker and therapeutic target for ATC, focusing on LINC00886/PKR/eIF2α signaling(238)
Matrone et al, 2022RET inhibitors, radionuclide therapyTarget RET mutations and somatostatin receptorsSystemic treatments for advanced and metastatic sporadic MTC, addressing rapid disease progression(239)
Niccoli-Sire et al, 2001RET mutationsDriver mutations in familial MTC; associated with late-onset diseaseGuided optimal timing for thyroidectomy in familial MTC, considering delayed C cell disease appearance(240)
Pan et al, 2023IL2RA+ VSIG4+ macrophagesKey subpopulation in immunosuppressive microenvironment of ATCPotential therapeutic target to disrupt immunosuppression and enhance antitumor immunity(241)
Pozdeyev et al, 2018CDKN2A, CDKN2B, KDR, KIT, PDGFRAGenes involved in genetic alterations associated with ATCIdentified genetic alterations associated with anaplastic transformation, offering diagnostic and therapeutic insights(242)
Pusztaszeri et al, 2014RET mutationKey molecular alteration in MTC; enables early detection and specific therapiesFacilitated early detection and targeted therapies in MTC, improving patient outcomes(243)
Rougier et al, 1983External radiotherapy, surgeryTreats locally advanced or metastatic MTCHighlighted the importance of combined modalities for optimal treatment outcomes in MTC(244)
Shakiba et al, 2024MicroRNAsModulate fundamental cancer pathways; serve as therapeutic targets and biomarkersPromising tools for evaluating medical outcomes and potential therapeutic targets in TC and MTC(245)
Sherman et al, 2023Paclitaxel + pazopanibCombination therapy for ATCFeasible and safe combination therapy, generating hypothesis-generating data for further investigation(246)
Subbiah et al, 2018Dabrafenib + trametinibTargeted BRAF V600E mutation in ATCRobust clinical activity and well-tolerated regimen for BRAF V600E-mutated ATC(247)
Sugarman et al, 2023SHMT2Key enzyme in mitochondrial one-carbon metabolismTargetable vulnerability in ATC, inhibiting cell proliferation and colony formation(248)
Tang et al, 2022USP26Deubiquitylated and stabilized TAZ in ATCPotential therapeutic target for ATC, focusing on Hippo pathway regulation(249)
Wang et al, 2023Lactylation (H4K12La)Epigenetic mark translating metabolic signals into transcriptional regulationTargeting lactylation can sensitize mutant ATC to BRAF V600E inhibitors, enhancing therapeutic efficacy(250)
Wu et al, 2023 Autophagy-ferroptosis pathwayRegulated cell death mechanisms in ATCSynergistic combination therapy to enhance antitumor effects in ATC(251)
Zaballos et al, 2022ERK dimerizationKey for Ras-to-ERK signaling in ATCInhibited ERK dimerization provides therapeutic benefits, particularly for BRAF-mutant ATC(252)
Zhang et al, 2019miR-155/SOCS1miR-155 targets SOCS1, promoting ATC progressionPotential therapeutic target for ATC, focusing on miR-155/SOCS1 axis(253)
Zhao et al, 2022GSDMD and GSDMEMediate pyroptosis in ATCTwo-way positive feedback interaction providing novel prospects for targeted therapy in ATC(254)
Zhao et al, 2020Clinicopathological characteristicsCompares pediatric and adult MTCIndicated improved prognosis in pediatric MTC, guiding tailored treatment strategies(255)

[i] FAP, fibroblast activation protein; PAC, 3,5-bis (4-hydroxy-3-methoxybenzylidene)-N-methyl-4-piperidone; MTC, medullary thyroid cancer; SA. FAPi, squaramide-conjugated fibroblast activation protein inhibitor; Siglec-15, sialic acid-binding Ig-like lectin 15; TKIs, tyrosine kinase inhibitors; CPA4, carboxypeptidase A4; NETs, neutrophil extracellular traps; CSPG4, chondroitin sulfate proteoglycan 4; ROS, reactive oxygen species; NIS, sodium iodide symporter; Wee1, Wee1 G2 checkpoint kinase; LINC00886, long intergenic non-protein coding RNA 886; PKR, protein kinase R; eIF2α, eukaryotic initiation factor-2α ; IL2RA, interleukin-2 receptor subunit α; VSIG4, V-set and immunoglobulin domain containing 4; KDR, kinase insert domain receptor; KIT, KIT proto-oncogene, receptor tyrosine kinase; PDGFRA, platelet-derived growth factor receptor α; RET, rearranged during transfection; TC, thyroid cancer; SHMT2, serine hydroxymethyltransferase 2; USP26, ubiquitin specific peptidase 26; TAZ, transcriptional coactivator with PDZ-binding motif; miR, mciroRNA; SOCS1, suppressor of cytokine signaling 1; GSDMD, gasdermin D.

Molecular mechanisms

ATC is a highly aggressive endocrine malignancy frequently presenting with extrathyroidal extension or distant metastasis, ~70% of ATC spreads to nearby tissues such as the trachea, esophagus and throat. The lungs, bones, and brain are also common sites of ATC metastasis (256), although its pathogenesis remains to be elucidated. Mechanistic studies have identified cAMP-responsive element-binding protein 3-like 1 (CREB3L1) as a key regulator maintaining cancer-associated fibroblast-like phenotypes in ATC through extracellular matrix (ECM) signaling activation, thereby remodeling TMEs to facilitate malignant progression (257,258). The MAPK pathway, activated via Ras/BRAF mutations or RET-PTC fusions, has been established as a central oncogenic driver and therapeutic target for TKIs, while secondary genomic alterations, including telomerase reverse transcriptase (TERT) promoter and tumor protein p53 (TP53) mutations, are correlated with advanced tumor evolution (259).

Molecular profiling analyses have revealed distinct protein expression patterns in ATC, characterized by marked upregulation of miRNA-regulated oncogenes, such as transferrin receptor TFRC or CD71, and E3-ubiquitin ligase denticleless, enabling reliable differentiation from PDTC (260). Angiogenesis and EMT are suppressed by miR-205 through dual targeting of VEGF-A and ZEB1 (261). Epigenetic and transcriptional regulators include sialic acid-binding Ig-like lectin 15 (Siglec-15) (STAT1/STAT3-mediated proliferation/apoptosis) (262), CCCTC-binding factor/hematological and neurological expressed 1 (HN1; chromatin remodeling of thyroid differentiation genes) (263), REGγ (TGF-β activation via SMAD7 degradation) (264) and HOXD9 (PI3K/AKT-driven proliferation/EMT through miR-451a/proteasome 20S subunit β8 axis) (265). The miR-17-92 cluster has been implicated in differentiation blockade, with CRISPR/caspase 9-mediated knockdown restoring thyrocyte-specific gene expression (266).

The stepwise molecular progression from DTC to ATC entails early MAPK pathway alterations, including BRAF V600E and Ras mutations, with subsequent acquisition of TERT and TP53 mutations driving dedifferentiation (267).

Cellular invasion mechanisms in ATC are regulated through multiple molecular axes: HN1 stabilizes stathmin 1 (STMN1) mRNA and prevents its ubiquitin-mediated degradation, thereby enhancing invasiveness (268). RING-box protein 1 (RBX1) modulates pyruvate kinase M1/2 splicing via scaffold/matrix attachment region binding protein 1/histone deacetylase 6 complex disruption, promoting metastasis and aerobic glycolysis (269) and type 2 deiodinase depletion induces cellular senescence (270).

Capsaicin exemplifies the multimodal mechanisms of pharmacological interventions, where transient receptor potential vanilloid 1 activation initiates mitochondrial calcium overload culminating in apoptosis (271). Berberine induces ROS-dependent apoptosis/autophagy via PI3K/AKT/mTOR pathway modulation and synergizes with doxorubicin (272). A-kinase interacting protein 1 knockdown enhances chemosensitivity through PI3K/AKT/β-catenin inactivation (273). Gli-antagonist 61 inhibits EMT via AKT/mTOR and JAK/STAT3 pathway suppression (274).

Taken together, ATC pathogenesis involves multilevel dysregulation spanning CREB3L1-mediated ECM remodeling, MAPK/TERT/TP53 genetic evolution and coordinated control of invasion/metastasis by HN1/STMN1/RBX1. Therapeutic vulnerabilities were identified in calcium signaling, redox balance, epigenetic reprogramming and kinase cascades, which provides a molecular framework for targeted intervention strategies.

Progress in diagnosis

Total residual disease remains the most key prognostic indicator for ATC. Factors such as the capsule, marginal status, percentage and size of the primary ATC are associated with prognosis. Pure thyroid squamous cell carcinoma can be classified as ATC if it shares a similar BRAF V600E genotype and prognosis. Both BRAF-mutated and Ras-mutated ATC exhibit comparable metastatic spread. The coexistence of BRAF or Ras mutations alongside TERT mutations is correlated with a poor prognosis (7,275,276). Current diagnostic algorithms for ATC incorporate three cardinal immunohistochemical features: i) Aberrant nuclear β-catenin accumulation with membranous expression loss, indicative of Wnt pathway activation; ii) disrupted E-cadherin localization patterns reflecting EMT; and iii) paired box 8 nuclear expression deficiency marking thyroid differentiation loss, collectively serving as histopathological hallmarks for ATC confirmation (277).

Optical imaging has been shown to effectively visualize cellular and tissue architectures through optical absorption, refraction and scattering properties, enabling functional assessment across organ systems and facilitating diagnostic applications. This modality further demonstrates therapeutic potential for targeted and non-invasive precision treatment in thyroid carcinoma (278). Concurrently, contrast-enhanced CT-based radiomics analysis exhibits notable discriminative capacity in distinguishing ATC and PDTC from DTC in patients with advanced thyroid malignancies (279).

IGF2 mRNA-binding protein 1 (IGF2BP1) is currently regarded as the most promising single-gene marker for ATC, followed by melanoma-associated antigen 3 (MAGEA3), representing an advancement over existing techniques (280), like application of single-cell sequencing technology and epigenetic analysis. The expression levels of IGF2BP1 and MAGEA3 can effectively differentiate ATC from PDTC. Furthermore, IGF2BP1 has the capability to identify ATC foci within poorly differentiated FTC. Reliable markers are key for distinguishing this high-grade malignancy (ATC) from other types of thyroid cancer subtypes, thereby informing surgical decisions, treatment options and post-resection or therapeutic monitoring strategies (280).

Circulating cell-free DNA (cfDNA) has emerged as a key biomarker for characterizing tumor molecular profiles in ATC. Comparative analyses have demonstrated high concordance between cfDNA-derived genetic alterations and tumor tissue-based next-generation sequencing results, which supports the utility of cfDNA in dynamically monitoring actionable mutations. These findings underscore the clinical relevance of cfDNA in guiding therapeutic decisions and prognostic stratification in ATC management (281).

Treatment

Emerging evidence suggests that C-X-C motif chemokine 13 (CXCL13)+ T lymphocytes are enriched in ATC TMEs, correlating with the formation of early tertiary lymphoid structures (TLSs) that potentially enhance immunotherapeutic responsiveness in this aggressive malignancy (282). The involvement of CXCL13+ T cells within the tumor immune microenvironment and their investigative advancements in ATC have emerged as key areas of focus in tumor immunotherapy research. ATC, recognized as the most aggressive form of thyroid malignancy, is typified by a notably immunosuppressive TME characterized by limited lymphocyte infiltration (283,284). However, recent investigations have identified an enrichment of CXCL13+ T cells in ATC, which may represent a pivotal target for immunotherapeutic intervention. CXCL13+ T cells demonstrate a bifunctional role in tumor biology. Firstly, in ATC, these cells facilitate the recruitment of B lymphocytes and promote the early development of TLS through the secretion of the chemokine CXCL13, thereby potentiating the antitumor immune response (283,284). By contrast, CXCL13+ T cells may also engage with immunosuppressive populations, including Tregs and M2-polarized tumor-associated macrophages, or exhibit functional impairment characterized by elevated expression levels of exhaustion markers, such as PD-1 and T cell immunoglobulin and mucin-domain containing-3 (285–288). Furthermore, emerging evidence indicates that CXCL13 can disseminate systemically to the lungs, where it activates macrophages to release prothrombotic vesicles, thus elevating the risk of thrombosis and metastatic progression (289,290).

Similarly, previous studies in non-small cell lung cancer have demonstrated that combined radiotherapy and anti-PD-L1 treatment induces the formation of spatially adjacent synergistic units comprising CXCL13+CD8+ T cells and CXCL9+ macrophages, whose effector molecules, including granzyme B and IFN-γ, directly suppress tumor growth (291,292). Similarly, in lung adenocarcinoma associated with chronic obstructive pulmonary disease, CXCL13+CD8+ T cells cooperate with tumor cells exhibiting high HLA class I expression to enhance immunotherapy response rates (293). By contrast, within clear cell renal cell carcinoma, CXCL13+CD8+ T cells predominantly display a terminally exhausted phenotype associated with unfavorable clinical outcomes. The high infiltration of CXCL13+CD8+T cells can also demonstrate the immune escape structure of CD8+T cells, characterized by immune damage, increased tumor promoting cells and reduced anti-tumor factors (294). These observations underscore that the functional role of CXCL13+ T cells is highly contingent upon the specific TME context, including the composition and spatial arrangement of coexisting immune cell populations. Therefore, in ATC, CXCL13+ T cells both promote immune activation by augmenting antitumor responses through TLS formation and may increase risk of malignancy due to their exhausted phenotype and associated systemic complications.

In therapeutic investigations, combination regimens targeting both angiogenesis and immune checkpoints, such as lenvatinib with pembrolizumab, demonstrated favorable clinical outcomes. A retrospective study involving 6 metastatic ATC patients receiving combination therapy with lenvatinib and pembrolizumab and 2 PDTC patients confirmed. These regimens achieved durable complete remissions in subsets of patients with ATC and PDTC (295). Notably, BRAF-targeted strategies continue to evolve. A subset of patients with BRAF-mutant ATC exhibited significant tumor regression when treated with neoadjuvant pembrolizumab followed by BRAF/MEK inhibitor combinations, enabling subsequent curative resection (296). Mechanistic studies further revealed that dabrafenib combined with erlotinib synergistically suppresses MAPK/EGFR signaling pathways, as evidenced by downregulation of p-MEK, p-ERK and p-EGFR in preclinical models (297). This dual inhibition strategy overcomes monotherapy resistance and significantly reduces tumor burden in xenograft models (298).

Clinical trials evaluating PD-1 blockade in ATC demonstrated durable responses across BRAF mutation statuses. Spartalizumab, an anti-PD-1 monoclonal antibody, achieved a 52.1% 1-year survival rate in patients who were PD-L1+, with objective responses observed in both BRAF mutant and wild-type cohorts (299). PD-L1 was significantly upregulated in a subset of patients with advanced ATC. Notably, PD-L1 expression in immune cells was detected in 11.1% of ATC cases (300). Furthermore, monoclonal antibodies targeting PD-L1 have demonstrated notable efficacy in inhibiting ATC tumor growth in vivo (301). Siglec-15 has emerged as a promising immunotherapeutic target in ATC, whose function is to suppress T-cell activation by downregulating nuclear factor of activated T cells (NFAT)1, NFAT2 and NF-κB signaling pathways. Inhibition of Siglec-15 has been shown to enhance the secretion of IFN-γ and IL-2 both in vitro and in vivo (218). Furthermore, the combination therapy of dabrafenib and trametinib has notably transformed the treatment landscape for BRAF V600E-mutant ATC. Despite initial responses, resistance to this targeted therapy inevitably develops, leading to disease progression. Furthermore, neoadjuvant BRAF-targeted therapy administered preoperatively has demonstrated improvements in patient survival outcomes (302).

These findings underscore the potential of immunotherapy as a backbone for multimodal treatment paradigms in ATC. ICAM1 is a promising target for the treatment of ATC and PTC. Two ICAM1-targeted antibody-drug conjugates (I1-MMAE and I1-DXd) have been developed, exhibiting selective cytotoxicity against proliferating ATC and PTC cells in vitro, while maintaining minimal impact on non-proliferative cell populations (303). Preclinical evaluation further demonstrated notable tumor regression in ATC and PTC xenograft models following ADC administration (304). Similarly, a CD44-directed nanodelivery system was engineered through tyrosine-hyaluronic acid-polyethylenimine self-assembly, enabling simultaneous 131I/125I radiolabeling and encapsulation of p53 reactivation and induction of massive apoptosis-1 (Prima-1), a p53 mutation-targeted therapeutic agent. The 125I-labeled nanocomposites achieved sustained tumor visualization and prolonged radiosensitivity, while 131I-conjugated nanoparticles exerted synergistic antitumor effects in ATC models through Prima-1-mediated p53 reactivation and radiation potentiation (305).

Recent advances in ATC therapeutics have revealed several promising strategies. Emerging evidence suggests that CXCL13+ T cell infiltration and nascent TLS formation may serve as biomarkers for immunotherapy responsiveness. The combined regimen of lenvatinib and pembrolizumab, when integrated with BRAF/MEK inhibition, has demonstrated therapeutic efficacy in molecularly defined ATC subsets. Notably, neoadjuvant applications of pembrolizumab remain under clinical investigation (282,295,296). Pharmacodynamic studies have indicated that dabrafenib-erlotinib co-administration achieves synergistic tumor suppression through circumventing monotherapy resistance mechanisms. PD-1 blockade via spartalizumab has induced objective responses across diverse ATC histological variants, including spindle cell variant, giant cell variant, and epithelioid variant. Preclinical models further highlight the therapeutic potential of CD44-directed nanocarriers co-delivering 131I radiotherapy and Prima-1-mediated p53 reactivation (298,300,305). These multimodal approaches collectively expand the therapeutic landscape for this aggressive malignancy (Fig. 5).

Molecular circuitry and therapeutic
targeting in ATC pathogenesis. This schematic illustrates the
molecular mechanisms driving ATC proliferation and metastasis,
alongside therapeutic strategies. CAFs remodel the ECM through the
CREB3L1/miR-205 axis and JAK-STAT signaling modulated by GANT61.
Metabolic reprogramming involves HDAC6/SMAR1-mediated PKM splicing
and RBX1-STMN1 regulation. DOX triggers ROS-dependent apoptosis via
PI3K-AKT, while targeted therapies include lenvatinib (multikinase
inhibitor), pembrolizumab (anti-PD-1) and BRAF/EGFR inhibitors
(dabrafenib + erlotinib). ATC, anaplastic thyroid cancer; CAFs,
cancer-associated fibroblasts; ECM, extracellular matrix; CREB3L1,
cAMP-responsive element-binding protein 3-like 1; miR, microRNA;
JAK, Janus kinase; GANT61, Gli-antagonist 61; HDAC6, histone
deacetylase 6; SMAR1, scaffold/matrix attachment region binding
protein 1; PKM, pyruvate kinase M1/2; RBX1, RING-box protein 1;
STMN1, stathmin 1; DOX, doxorubicin; ROS, reactive oxygen species;
PD-1, programmed cell death protein-1; HN1, hematological and
neurological expressed 1; CTCF, CCCTC-binding factor; REGγ,
proteasome activator subunit 3; AKIP1, A kinase-interacting protein
1; BER, base excision repair.

Figure 5.

Molecular circuitry and therapeutic targeting in ATC pathogenesis. This schematic illustrates the molecular mechanisms driving ATC proliferation and metastasis, alongside therapeutic strategies. CAFs remodel the ECM through the CREB3L1/miR-205 axis and JAK-STAT signaling modulated by GANT61. Metabolic reprogramming involves HDAC6/SMAR1-mediated PKM splicing and RBX1-STMN1 regulation. DOX triggers ROS-dependent apoptosis via PI3K-AKT, while targeted therapies include lenvatinib (multikinase inhibitor), pembrolizumab (anti-PD-1) and BRAF/EGFR inhibitors (dabrafenib + erlotinib). ATC, anaplastic thyroid cancer; CAFs, cancer-associated fibroblasts; ECM, extracellular matrix; CREB3L1, cAMP-responsive element-binding protein 3-like 1; miR, microRNA; JAK, Janus kinase; GANT61, Gli-antagonist 61; HDAC6, histone deacetylase 6; SMAR1, scaffold/matrix attachment region binding protein 1; PKM, pyruvate kinase M1/2; RBX1, RING-box protein 1; STMN1, stathmin 1; DOX, doxorubicin; ROS, reactive oxygen species; PD-1, programmed cell death protein-1; HN1, hematological and neurological expressed 1; CTCF, CCCTC-binding factor; REGγ, proteasome activator subunit 3; AKIP1, A kinase-interacting protein 1; BER, base excision repair.

Problems and challenges in thyroid research

In the field of thyroid cancer research, notable progress has been made in recent years; however, several limitations persist. Firstly, studies investigating the molecular mechanisms and gene mutations associated with thyroid cancer have identified the roles of various key genes (such as BRAF, RET and Ras) (306–309). However, these studies do not fully elucidate the occurrence and developmental processes of all types of thyroid cancer. The intricate interactions between multiple genetic mutations and environmental factors remain inadequately understood, such as ionizing radiation induces DNA double strand breaks, leading to RET/PTC rearrangements; excessive iodine can promote BRAF V600E mutation, which increases the risk of PTC. These poses presenting challenges in the pursuit of more effective prevention and treatment strategies.

In the research and treatment of thyroid cancer, it is imperative to focus on the early screening of high-risk groups, the application of molecular markers in diagnosis and treatment, and the development of individualized treatment strategies tailored to the various pathological types of thyroid cancer (310). Concurrently, for advanced and refractory cases, overcoming drug resistance and enhancing treatment efficacy remain key areas of investigation. For instance, in the case of highly malignant subtypes, such as ATC, treatment options are currently limited and survival rates are dismal, which necessitates the urgent identification of novel therapeutic targets and strategies. Furthermore, despite the generally favorable prognosis for DTC, the monitoring and management of recurrence and metastasis continue to pose notable challenges in clinical practice (311).

Targeted drug therapy has demonstrated notable therapeutic potential in the management of thyroid cancer, particularly for advanced or refractory cases. These therapies inhibit tumor progression by focusing on specific molecular targets that promote cancer cell proliferation. Common targeted drugs include VEGFR inhibitors, such as pazopanib and sorafenib, which primarily inhibit new angiogenesis and restrict tumor blood supply (312–314). Furthermore, EGFR inhibitors, including gefitinib and erlotinib (315), mainly function to inhibit tumor cell proliferation and survival. Targeting the prevalent BRAF V600E driver mutation in thyroid cancer subtypes, BRAFi, including vemurafenib and dabrafenib, represent a mechanistically grounded therapeutic strategy. Furthermore, RET inhibitors, such as pralsetinib and selpercatinib, primarily inhibit key drivers of MTC, such as RET gene fusion or mutation (316). Targeted therapies are characterized by their high specificity, resulting in less impact on normal cells and fewer side effects compared with conventional chemotherapy; they can effectively control disease progression and prolong progression-free survival, which makes them particularly suitable for advanced cases that are not amenable to surgical or radiotherapeutic interventions. However, the cost of targeted drugs is typically high, which can impose economic burdens on patients over the long term. Furthermore, drug resistance may develop, as tumor cells can evolve novel mechanisms to evade treatment. Potential side effects, including hypertension, diarrhea and rash (317), necessitate long-term management and continuous monitoring.

Challenges of drug resistance in BRAF V600E-mutant PTC

Drug resistance in BRAF V600E-mutant PTC to BRAFi is characterized by a multifaceted mechanism encompassing epigenetic regulation, signaling pathway reprogramming and metabolic adaptation. For instance, Pit-Oct-Unc class 5 homeobox 1B contributes to dabrafenib resistance by promoting stem cell-like properties and activating the Taste 1 Receptor Member 1 signaling axis (318). Similarly, NG2 (chondroitin sulfate proteoglycan 4) diminishes the efficacy of BRAFi through feedback activation of the ERK/AKT pathway mediated by multiple RTKs, including EGFR and FGFR (119). Furthermore, aberrant activation of the JAK/STAT pathway exacerbates resistance via IFN regulatory factor 1-driven immune evasion mechanisms, such as upregulation of human leukocyte antigen A2 and ICAM-1 (118). Transcription factors Forkhead box protein P2 and Src homology-2 domain-containing protein tyrosine phosphatase 2 sustain the resistant phenotype by cross-activating the lysophosphatidic acid receptor (LPAR)3/PI3K-AKT and MAPK/PI3K pathways, respectively (319,320). At the metabolic level, myeloid cell leukemia-1 inhibits apoptosis by maintaining mitochondrial membrane stability, while resistance to ferroptosis mediated by the arylsulfatase I-STAT3-epiregulin axis restricts the therapeutic efficacy of sorafenib (321). Collectively, these findings indicate that monotherapy targeting BRAF is readily circumvented by compensatory mechanisms, which underscores the urgent need for combinatorial therapeutic strategies.

Pan-drug resistance phenomenon in ATC

The mechanisms underlying drug resistance in ATC are notably complex, frequently involving widespread dysregulation of the transcriptome and epigenetic landscape. NOP2/Sun RNA methyltransferase family member 2 (NSUN2)-mediated 5-methylcytosine modification stabilizes ATP-binding cassette transporters via the serine/arginine-rich splicing factor 6/UDP-N-acetylglucosamine pyrophosphorylase 1 axis, thereby promoting multidrug resistance (322). Furthermore, N-Myc proto-oncogene (MYCN) induces paclitaxel resistance through transcriptional reprogramming (323). Microenvironmental factors, such as glutamate accumulation, inhibit lysophosphatidic acid receptor 1, which results in persistent activation of the MAPK pathway and reduced sensitivity to anlotinib (117). These interconnected mechanisms collectively establish a ‘pan-drug resistance’ barrier, rendering conventional chemotherapy and targeted therapies largely ineffective in ATC.

Limitations of current clinical trials and unmet clinical needs

Although BRAF/MEK inhibitors, including dabrafenib and trametinib, have demonstrated high objective response rates (ranging from 54 to 89%) in BRAF V600E-mutant thyroid cancer, their long-term efficacy is compromised by the development of acquired resistance (324,325). Combination immunotherapy approaches, such as BRAFi combined with atezolizumab, have extended the median survival time in patients with ATC to ~43 months; however, the associated cumulative toxicities, including dysphoria and fatigue, limit broader clinical application (326).

Additional challenges include histological variability in response to targeted therapies. For instance, lenvatinib only achieved an 11.9% 1-year survival rate in ATC (327), while pazopanib combined with chemoradiotherapy failed to significantly improve survival outcomes, underscoring the limitations of VEGFR monotherapy (219). The feasibility and safety of metabolic interventions remains a challenge. Although melittin combined with apatinib enhances antitumor efficacy by inducing pyroptosis, optimizing the therapeutic-toxicity balance persists as a key concern (220). A lack of reliable predictive biomarkers complicates treatment. No current biomarkers adequately forecast patient responses to NSUN2- or MYCN-targeted therapies, which hampers patient stratification and treatment personalization (322,323).

Future studies may continue to investigate the molecular mechanisms underlying thyroid cancer, with particular emphasis on key signaling pathways and gene variants in ATC. This research will encompass the examination of oncogenes, tumor suppressor genes, cell cycle regulatory genes and molecules that interact with the TME. Further understanding of the molecular heterogeneity of thyroid cancer will shift the focus of future research towards personalized treatment strategies. This approach can involve the selection of appropriate targeted therapies and immunotherapy regimens based on the molecular characteristics of individual tumors. For instance, the identification of driver genes, such as the BRAF V600E mutation and RET/neurotrophic tyrosine receptor kinase fusion, has informed the application of targeted therapeutic agents (328). Concurrently, research may also prioritize the development of novel targeted drugs and immunotherapy techniques, as well as the integration of these treatments with established methods such as surgery, radioiodine therapy and TKIs to enhance treatment efficacy and improve patient survival.

Through multi-omics studies, researchers may aim to identify precise molecular markers of thyroid cancer, which could potentially enhance patient stratification and risk assessment, leading to more refined management strategies. Furthermore, advancements in bioinformatics and artificial intelligence technologies are expected to serve an increasingly vital role in the diagnosis, treatment planning and prognostic evaluation of thyroid cancer. For instance, artificial intelligence-based models can assist in determining lymph node metastasis in DTC, thereby improving diagnostic accuracy (329).

Research on thyroid cancer encompasses multiple disciplines, including genetics, pathology, imaging, endocrinology and oncology. Effectively integrating the resources and expertise from these fields to establish a comprehensive interdisciplinary research system is key to enhance the quality of thyroid cancer research and its clinical applications. Clinical research must persist in advancing efforts to validate the efficacy and safety of novel treatment strategies and medications for patients. Furthermore, translational research can facilitate the swift application of laboratory findings to clinical settings, ensuring that research outcomes benefit patients at the earliest opportunity.

Conclusion

Thyroid cancer represents a highly heterogeneous endocrine malignancy with significant differences in molecular mechanisms, clinical presentations and therapeutic approaches across its subtypes (PTC, FTC, MTC and ATC). This review delineates key molecular characteristics of these four categories: PTC is predominantly characterized by BRAF V600E mutations, FTC is frequently associated with RAS mutations and MTC primarily originates from RET proto-oncogene mutations, while ATC demonstrates profound genomic instability evidenced by TP53 and TERT promoter mutations. These molecular markers not only facilitate disease diagnosis and prognostic stratification but also provide foundational insights for targeted therapy development.

In diagnostic practice, integrating ultrasound, fine-needle aspiration biopsy and molecular profiling, including BRAF, RET and RAS mutation analysis substantially enhances preoperative diagnostic precision. Regarding therapeutic management, surgical resection remains the primary intervention for localized tumors. For advanced or metastatic disease, however, targeted therapies such as RET inhibitor selpercatinib and BRAF/MEK inhibitor combinations alongside immunotherapy demonstrate transformative potential. Particularly for aggressive ATC, multimodal regimens combining surgery, radiotherapy, chemotherapy and targeted agents may extend survival in selected patient cohorts.

Notwithstanding substantial research advancements in thyroid oncology, persistent challenges warrant attention. Certain resistance mechanisms in FTC and ATC remain incompletely elucidated. Comprehensive evaluation of long-term efficacy and toxicity profiles for targeted therapies is imperative. Furthermore, molecular stratification-guided personalized treatment paradigms require validation through large-scale clinical trials. Future investigations should prioritize novel biomarker discovery, optimization of combination therapies and multi-omics exploration of TME dynamics in disease progression, ultimately aiming to enhance patient survival outcomes and quality of life.

Acknowledgements

Not applicable.

Funding

The present review was supported by grants from the Natural Science Foundation of Shandong Province China (grant no. ZR2023MA069), the Medical and Health Technology Development Project of Shandong Province China (grant no. 202202050602), the Shandong Project for Talents Introduction and development on Youth Innovation Team of Higher Education, the Graduate Student Research Grant from Shandong Second Medical University, Jiangyin Outstanding Young Health Talents Project (grant no. JYOYT202310) and The Fourth Affiliated Hospital of Nanjing Medical University 2024 Subjects (grant no. 2024YJKT15).

Availability of data and materials

Not applicable.

Authors' contributions

ZL, NW, XL and HX collected related literature and drafted the manuscript. ZD, YL, YX, YS, TF and GW participated in the design of the review and draft of the manuscript. All authors read and approved the final manuscript. Data authentication is not applicable.

Ethics approval and consent to participate

Not applicable.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Copy and paste a formatted citation
Spandidos Publications style
Li Z, Wang N, Li X, Xie Y, Dou Z, Xin H, Lin Y, Si Y, Feng T, Wang G, Wang G, et al: Thyroid cancer: From molecular insights to therapy (Review). Oncol Lett 30: 520, 2025.
APA
Li, Z., Wang, N., Li, X., Xie, Y., Dou, Z., Xin, H. ... Wang, G. (2025). Thyroid cancer: From molecular insights to therapy (Review). Oncology Letters, 30, 520. https://doi.org/10.3892/ol.2025.15266
MLA
Li, Z., Wang, N., Li, X., Xie, Y., Dou, Z., Xin, H., Lin, Y., Si, Y., Feng, T., Wang, G."Thyroid cancer: From molecular insights to therapy (Review)". Oncology Letters 30.5 (2025): 520.
Chicago
Li, Z., Wang, N., Li, X., Xie, Y., Dou, Z., Xin, H., Lin, Y., Si, Y., Feng, T., Wang, G."Thyroid cancer: From molecular insights to therapy (Review)". Oncology Letters 30, no. 5 (2025): 520. https://doi.org/10.3892/ol.2025.15266
Copy and paste a formatted citation
x
Spandidos Publications style
Li Z, Wang N, Li X, Xie Y, Dou Z, Xin H, Lin Y, Si Y, Feng T, Wang G, Wang G, et al: Thyroid cancer: From molecular insights to therapy (Review). Oncol Lett 30: 520, 2025.
APA
Li, Z., Wang, N., Li, X., Xie, Y., Dou, Z., Xin, H. ... Wang, G. (2025). Thyroid cancer: From molecular insights to therapy (Review). Oncology Letters, 30, 520. https://doi.org/10.3892/ol.2025.15266
MLA
Li, Z., Wang, N., Li, X., Xie, Y., Dou, Z., Xin, H., Lin, Y., Si, Y., Feng, T., Wang, G."Thyroid cancer: From molecular insights to therapy (Review)". Oncology Letters 30.5 (2025): 520.
Chicago
Li, Z., Wang, N., Li, X., Xie, Y., Dou, Z., Xin, H., Lin, Y., Si, Y., Feng, T., Wang, G."Thyroid cancer: From molecular insights to therapy (Review)". Oncology Letters 30, no. 5 (2025): 520. https://doi.org/10.3892/ol.2025.15266
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