International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.
International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.
Covers molecular medicine topics such as pharmacology, pathology, genetics, neuroscience, infectious diseases, molecular cardiology, and molecular surgery.
Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.
Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.
Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.
Explores a wide range of biological and medical fields, including pharmacology, genetics, microbiology, neuroscience, and molecular cardiology.
International journal addressing all aspects of oncology research, from tumorigenesis and oncogenes to chemotherapy and metastasis.
Multidisciplinary open-access journal spanning biochemistry, genetics, neuroscience, environmental health, and synthetic biology.
Open-access journal combining biochemistry, pharmacology, immunology, and genetics to advance health through functional nutrition.
Publishes open-access research on using epigenetics to advance understanding and treatment of human disease.
An International Open Access Journal Devoted to General Medicine.
Esophageal cancer (EC) ranks as the 11th most frequently diagnosed malignancy and the 7th principal cause of cancer-related mortality worldwide, with ~511,000 new cases and 445,000 fatalities recorded in 2022 (1). Furthermore, esophageal squamous cell carcinoma (ESCC) is the predominant pathological type of EC, accounting for >90% of cases (2). It has been characterized by accelerated tumor proliferation and elevated rates of metastasis and recurrence, resulting in an unfavorable prognosis for patients. The advancement of therapeutic techniques, including minimally invasive surgery, targeted therapy and immunotherapy, has improved the 5-year survival rate of patients with ESCC; however, it remains unsatisfactory (3,4). For certain patients with EC, the lesions' location or the disease's advanced stage may make surgery inappropriate, posing specific therapeutic challenges. Chemotherapy and targeted therapies can partially manage EC; however, certain individuals may exhibit drug resistance, resulting in diminished therapeutic effectiveness. For patients with advanced EC, current therapies demonstrate limited effectiveness, requiring the exploration of new potent therapeutic options. Therefore, comprehensive studies on EC occurrence and pathophysiology, as well as the identification of prognostic biomarkers, may yield more accurate recommendations for personalized treatment, enhancing patient prognosis, therapeutic efficacy and quality of life.
Protein ubiquitination is a dynamic and reversible post-translational modification (PTM) involving the covalent attachment of one or more ubiquitin (Ub) proteins, each comprising 76 amino acids, to a substrate protein. This alteration affects various cellular proteins and is involved in various cellular processes (5). In humans, four distinct genes encode Ub, of which Ub A-52 residue ribosomal protein fusion product 1 (UBA52) and ribosomal protein S27a (UBA80) encode a solitary Ub fused at their C-termini to ribosomal proteins L40 and S27a, respectively. The Ub B and Ub C genes are polyubiquitin precursors that occur as tandem repeats (6). Ubiquitination is a cascade reaction comprising three enzymes: Ub-activating enzymes (E1s), Ub-conjugating enzymes (E2s) and Ub ligases (E3s) (7). Furthermore, Ub is activated by E1 in an ATP-dependent manner; it establishes a thioester bond between the active site cysteine of E1 and the C-terminal carboxyl group of Ub. Then, Ub is transferred to E2 through a transthiolation process, covalently bound to the amino group of a lysine residue on the substrate protein by an E3 Ub ligase (8). The following four E3 subtypes have been identified: Homologous to E6-associated protein C-terminus (HECT) type, Really Interesting New Gene (RING) type, U-box type and RING-in-between-RING (RBR) type. RING-type and U-box type E3 ligases directly promote the transfer of Ub from E2 to the substrate protein. HECT-type and RBR-type E3 ligases establish a thioester bond between the cysteine in their active site and Ub before transferring it to the substrate protein (9,10).
Deubiquitinating enzymes (DUBs) are isopeptidases that can cleave either a single Ub or an entire Ub chain from a target protein, thus opposing protein ubiquitination, a crucial PTM that modulates protein stability, activity, subcellular localization and interactions (11,12). DUBs not only reverse ubiquitination but also govern various physiological pathways, such as protein trafficking, chromatin remodeling and cell cycle regulation. Therefore, they are implicated in various clinical disorders (13). Therefore, DUBs have become a research hotspot as therapeutic targets, prompting the establishment of DUB inhibitors, some of which are currently in preclinical development or clinical trials (14). To date, ~100 DUBs have been identified in and are categorized into 9 families: Ub-specific proteases (USPs), ovarian tumor proteases (OTUs), Ub C-terminal hydrolases (UCHs), Machado-Joseph disease protein domain proteases (MJDs, also referred to as Josephins), JAMM/MPN domain-associated zinc-dependent metalloproteases (JAMMs, also known as MPN+), motif interacting with Ub-containing novel DUB family, monocyte chemotactic protein-induced proteins, permuted papain fold peptidases of double-stranded RNA viruses and eukaryotes and zinc finger-containing Ub peptidase 1 (15), with a primary focus on the seven major families that include USPs (Fig. 1). Several studies suggest that DUB dysfunction is markedly associated with the onset and progression of EC (16-18). They may function as oncogenes, enhancing critical proteins associated with proliferation, metastasis and drug resistance [e.g., β-catenin, Snail, Yes-associated protein (YAP)1, programmed death-ligand 1 (PD-L1)], or they may serve as tumor suppressor genes [e.g., BRCA1-associated protein 1 (BAP1), cylindromatosis, lysine 63 deubiquitinase (CYLD)], wherein their deletion or mutation may result in the inhibition of tumor-suppressive functions (16,17,19-62) (Table I).
Table IOverview of DUBs involved in esophageal cancer, their targets, cancer types and functional outcomes. |
This review aims to systematically elucidate the complex regulatory network of DUBs in EC. This study will go beyond single-molecule descriptions to classify and analyze DUBs based on signaling pathways (TGF-β, Wnt, NF-κB, Hippo) and summarize essential biological processes [epithelial-mesenchymal transition (EMT), epigenetics, immune regulation], while assessing their viability as therapeutic targets by integrating preclinical quantitative data.
This study followed a Narrative Review methodological framework to conduct extensive and comprehensive qualitative and quantitative analysis of existing literature and fill the gaps in the systematic understanding of DUBs in EC.
The literature search was primarily based on the following key databases to ensure data comprehensiveness and rapid availability: PubMed/MEDLINE (https://pubmed.ncbi.nlm.nih.gov/), Web of Science (https://www.webofscience.com/), Embase (https://www.embase.com/) and Google Scholar (https://scholar.google.com/). Furthermore, ClinicalTrials.gov was referenced to acquire data on the ongoing clinical trials. In addition, bioinformatics analysis data were obtained from The Cancer Genome Atlas (TCGA) (https://www.cancer.gov/ccg/) and Gene Expression Omnibus (GEO) (https://www.ncbi.nlm.nih.gov/geo/) databases to supplement transcriptome-level evidence. i) Search timeline: Studies from 1st January 2000 to February 2025, specifically high-quality studies published in the last 5 years (2020-2025), were analyzed, reflecting the latest advances in the field. ii) Search keywords: Boolean logic combinations were employed, mainly including: iii) Disease-related: 'Esophageal cancer', 'esophageal squamous cell carcinoma' and 'esophageal adenocarcinoma'. iv) Target-related: 'Deubiquitinating enzymes', 'DUBs', 'ubiquitin-specific proteases' (USPs), 'UCH', 'OTU', 'BAP1', proteasome 26S subunit, non-ATPase 14 ('PSMD14') and specific family/member names. v) Mechanism and function: 'Signaling pathway', 'EMT', 'drug resistance', 'metastasis', 'prognosis' and 'immunotherapy'.
The inclusion criteria were as follows: i) Studies with research subjects specifically identified as having EC [including ESCC and esophageal adenocarcinoma] cell lines, animal models or clinical tissue specimens; ii) original studies and reviews addressing differential expression, molecular mechanisms, prognostic significance or small-molecule inhibitors of DUBs; iii) studies indicating key quantitative data (e.g., IC50 values, hazard ratios, P-values, tumor volume inhibition rates) were prioritized to meet the report's requirements for quantitative details; and iv) studies on DUB mechanisms in endometrial cancer were selected for lateral comparative analysis. The following exclusion criteria were applied: i) Studies only focusing on E3 Ub ligases and lacking DUB data; ii) bioinformatics prediction articles lacking biological experimental validation (unless independently validated in clinical cohorts); iii) Non-English or non-Chinese studies; and iv) conference abstracts with incomplete text or data.
The DUBs in EC cells do not function in isolation; instead, they constitute a complex signal transduction network by carefully regulating the stability of essential proteins in critical signaling pathways. This section will categorize important oncogenic signaling pathways to comprehensively investigate the specific mechanisms and functional implications of DUBs within these pathways (Fig. 2).
The transforming growth factor-β (TGF-β) signaling pathway has a 'double-edged sword' function in tumor biology: It suppresses cell proliferation in initial stages while facilitating tumor invasion and metastasis via EMT in later stages. In EC, DUBs play a crucial role in all phases of this signal transduction, from receptor stability to the activity of downstream effector SMADs (63).
It has been observed that UCH37 (UCHL5) can interact with the inhibitory SMAD7 and be recruited to the type I TGF-β receptor (TGFBR1). UCH37 inhibits receptor degradation facilitated by the E3 ligase SMURF by deubiquitinating TGFBR1, thus maintaining the receptor and promoting TGF-β signaling (64). In EC, this pathway may result in the persistent stimulation of TGF-β signaling, thus enhancing cellular migration and invasion abilities.
The USP4, USP11 and USP15 cluster of USPs has been reported to function either in complexes or independently, augmenting TGF-β signaling through the deubiquitination of the type I receptor; this modulation is directly associated with initiation of EMT processes and enhanced metastatic potential (65).
USP9X, as a principal positive regulator of the TGF-β pathway, can deubiquitinate SMAD4. SMAD4 is the principal mediator of TGF-β signaling and primarily translocates the SMAD2/3 complex into the nucleus. USP9X inhibits the nuclear export and subsequent degradation of SMAD4 by removing monoubiquitination modification, thus preserving the nuclear stability of the SMAD complex and facilitating the transcription of TGF-β downstream target genes, including Snail and Slug. Furthermore, upregulated USP9X expression in EC has been demonstrated to substantially correlate with adverse prognosis and chemotherapy resistance (40).
In the advanced stages of EC, the TGF-β pathway predominantly demonstrates oncogenic characteristics. The aforementioned DUBs (UCH37, USP9X) function primarily as amplifiers of TGF-β pro-metastatic signals by stabilizing receptors or critical transcription factors. In contrast to normal tissues, the excessively elevated expression of these DUBs in tumor tissues disrupts the self-regulatory mechanisms of TGF-β signaling (including SMURF-mediated negative feedback), resulting in the irreversible onset of EMT. Thus, inhibiting these DUBs could selectively obstruct the carcinogenic pathway of TGF-β while maintaining its homeostatic roles.
The aberrant activation of the Wnt/β-catenin signaling pathway is the primary driver of stemness, cell proliferation and chemoresistance in ESCC. Furthermore, it has been observed that DUBs elevate β-catenin levels directly or indirectly via different mechanisms that bypass its degradation complex.
In ESCC, USP10 does not directly deubiquitinate β-catenin; rather, it stabilizes the histone acetyltransferase lysine acetyltransferase 8, also known as males absent on the first (MOF). Research indicates that USP10 deubiquitinates MOF, resulting in increased quantities of MOF protein. The stabilized MOF subsequently accumulates at the promoter region of the annexin A2 (ANXA2) gene, enhancing ANXA2 transcription by increasing H4K16ac (acetylation of histone H4 at lysine 16) modifications. ANXA2 is an established activator of Wnt signaling. The 'USP10-MOF-ANXA2-Wnt' axis indirectly yet significantly promotes the Wnt/β-catenin pathway, facilitating the malignant progression of ESCC (30). This demonstrates the complexity of deubiquitinating enzymes regulating classical signaling pathways via epigenetic processes.
USP21 stabilizes Ras-GTPase-activating protein SH3-domain-binding protein 1 (G3BP1) by deubiquitination. G3BP1 accumulation can suppress the β-catenin degradation complex, thus activating Wnt signaling and facilitating cell growth (36).
USP13 stabilizes Wnt-induced signaling protein 1 (WISP1), forming a positive feedback loop to stimulate the Wnt/CTNNB1 pathway, a mechanism that promotes tumor growth and also mediates immune evasion (66).
In contrast to the aforementioned oncogenic DUBs, USP53 demonstrates tumor-suppressive characteristics in endometrial carcinoma. The inhibition of USP53 prevents the deubiquitination of Axin1, a crucial negative regulator of the Wnt pathway and a scaffold protein within the degradation complex, resulting in the proteasomal degradation of Axin1. The absence of Axin1 permits β-catenin to evade degradation, translocate to the nucleus and aberrantly activate Wnt signaling (43).
DUBs in the Wnt pathway demonstrate functional diversity. Although the majority (USP10, USP21, USP13) have oncogenic properties, USP53 indicates that the effect of DUBs on the same pathway is contingent upon whether their substrate functions as an activator or a repressor. This indicates that the development of DUB inhibitors targeting the Wnt pathway necessitates significant selectivity to prevent the inadvertent inhibition of tumor suppressors such as USP53, which may be counterproductive.
The NF-κB pathway bridges chronic inflammation and EC advancement, serving as an essential mechanism that mediates chemotherapy resistance, particularly to platinum-based drugs.
CYLD is a member of the USP family and a classical negative regulator of NF-κB. It specifically removes K63-linked Ub chains from TNF receptor associated factor 2 (TRAF2), TRAF6 and inhibitor of NF-κB kinase (IKK) regulatory subunit gamma (NEMO), obstructing IKK complex activation. In ESCC, CYLD is frequently downregulated due to genetic alterations or post-transcriptional regulation. For instance, microRNA (miR)-181b, which is abundantly expressed in EC stem cells, directly targets and inhibits CYLD, alleviating the repression on NF-κB and establishing a STAT3/miR-181b/CYLD positive feedback loop that promotes inflammation-related carcinogenesis and the maintenance of stemness (62). The absence of CYLD has also been found to promote tumor angiogenesis (67).
In contrast to CYLD, USP14 is typically regarded as a positive regulator of NF-κB. Although the precise substrates of USP14 in EC remain incompletely understood, in related models, USP14 promotes prolonged NF-κB activation via deubiquitinating the upstream kinases of IκB-α or by directly influencing the degradation kinetics of IκB-α. Furthermore, enhanced USP14 expression correlates with NF-κB-mediated tumor advancement in esophageal and endometrial cancers (68).
The Hippo pathway is the principal regulator of organ size, contact inhibition and carcinogenesis, with YAP1 and TAZ serving as its primary transcriptional co-activators.
USP14 is significantly increased in EC tissues, particularly in radioresistant cell lines. Mechanistic studies demonstrate that USP14 directly associates with YAP1, destroying its K48-linked Ub chains and inhibiting its proteasomal degradation. The activation of the USP14-YAP1 axis significantly increases radiation resistance and the proliferative potential of EC cells (17).
OTUB2 is a member of the OTU family and has been observed to promote the stemness, glycolytic metabolism and invasive ability of tumor cells in ESCC by directly deubiquitinating and stabilizing YAP1 and TAZ (48).
USP36 has been recognized as a deubiquitinase for YAP, facilitating the malignant development of ESCC by stabilizing YAP (69).
The DUBs regulate cytosolic signaling proteins and also penetrate the nucleus to alter the chromatin landscape by influencing histone-modifying enzymes or directly modifying histones.
USP7 is a key node in epigenetic modulation. It stabilizes the histone demethylase JMJD3 to enhance EC cell proliferation and interacts with EZH2, the catalytic subunit of polycomb repressive complex 2 (19). USP7 deubiquitinates EZH2, maintaining its elevated expression levels, which in turn silences tumor suppressor genes through H3K27me3 modification. The levels of the USP7/EZH2 complex are positively associated with tumor grade and adverse prognosis (70).
USP22, an essential member of the deubiquitination module of the SAGA transcriptional coactivator complex, is responsible for the removal of monoubiquitination from histones H2A and H2B (H2Aub1/H2Bub1). This modification is generally associated with transcriptional activity. In EC, elevated USP22 expression is substantially linked with lymph node metastases, clinical staging and recurrence, and is regarded as an independent poor prognostic marker (71).
EMT is an important biological mechanism whereby epithelial-derived tumor cells attain invasive and metastatic properties. In EC, DUBs provide a strict regulatory network by systematically adjusting the stability of EMT transcription factors and related effector molecules (Fig. 3).
Previous literature regards EMT as a binary process, in which cells shift from a completely epithelial state to a completely mesenchymal state. However, recent studies and single-cell sequencing data for ESCC have advanced the concept of 'partial EMT' (p-EMT) and 'hybrid EMT (72).
Tumor cells in the p-EMT state retain some epithelial characteristics, such as E-cadherin expression, while also developing specific mesenchymal qualities, including Vimentin and Snail expression. This hybrid condition confers cancer cells with significant adaptability, enabling them to sustain intercellular adhesion for collective migration, which is more effective for metastasis than solitary migration, while simultaneously resisting anoikis and chemotherapeutic agents.
DUBs may be crucial for maintaining the stability of this intermediate state. DUBs may stabilize cells in an aggressive, stem-like p-EMT state by regulating the protein levels of Snail or ZEB1 within a defined threshold, preventing their complete degradation (thus preserving mesenchymal characteristics), while also avoiding excessive accumulation (preventing total loss of epithelial adhesion) (73).
This section elucidates how principal DUBs facilitate the EMT process in ESCC by stabilizing essential substrates (Table II) (20,30,31,39,59,60,74-76). For example, USP26 stabilizes snail and represses transcription of the epithelial marker E-cadherin, initiating mesenchymal transition (74). OTUB1 increases snail protein half-life, inducing the mesenchymal phenotype, and PSMD14 acts as a 19S proteasome subunit, 'rescuing' Snail before degradation to initiate EMT (59,60). Furthermore, USP18 induces EMT by accumulating ZEB1 (39), USP7 drives EMT in hypoxic microenvironments (20), OTUD6B stabilizes β-TrCP, leading to increased Snail degradation (75), USP10 indirectly activates EMT signaling via the MOF/ANXA2/Wnt pathway (30,31), USP51 drives EMT through ZEB1 and inhibits ferroptosis through GPX4 stabilization, promoting the survival of EMT cells (76).
Immunosuppression in the tumor microenvironment (TME) is a primary cause of the limited effectiveness of immunotherapy for ESCC, such as anti-programmed cell death protein 1 (PD-1)/PD-L1 treatments. DUBs not only modulate tumor cell antigen presentation but also significantly influence the immune status of the TME by regulating the stability of immune checkpoint proteins.
The abundance of PD-L1 on tumor cell surfaces is a critical determinant of the effectiveness of anti-PD-1/PD-L1 treatments. DUBs directly determine the fate of PD-L1 via PTM.
USP7 has been found to directly deubiquitinate PD-L1 in EC and other gastrointestinal neoplasms, thus inhibiting its breakdown via the proteasome pathway. Upregulated USP7 expression is positively associated with increased PD-L1 levels, leading to the inhibition of CD8+ T-cell cytotoxic function. USP7 inhibitors (e.g., P5091) can limit tumor cell proliferation and substantially decrease surface PD-L1 levels, thus restoring T-cell anti-tumor immune responses (77).
The lncRNA forkhead box P4 antisense RNA 1 recruits USP10 to deubiquitinate and stabilize PD-L1 in EC, which directly leads to CD8+ T-cell exhaustion in the TME, promoting tumor immune evasion (32).
CSN5 serves as an essential deubiquitinase for PD-L1. The TNF-α/NF-κB signaling pathway can enhance CSN5 expression, which subsequently maintains PD-L1 stability via deubiquitination, representing a crucial mechanism for inflammation-induced immunosuppression (77).
DUBs not only directly act on immune checkpoints but also regulate stromal cells in the TME.
USP13 stabilizes WISP1, as previously stated. In ESCC, WISP1 is released by tumor cells and is also significantly expressed by CAFs. WISP1 remodels the extracellular matrix to facilitate collagen deposition, establishing physical barriers that inhibit T-cell infiltration while concurrently increasing tumor cell invasiveness (66).
Based on the aforementioned mechanisms, strategies utilizing DUBs to regulate the immune system primarily include the following:
Specific inhibitors against USP7, USP10 or CSN5 can facilitate the Ub-mediated degradation of PD-L1. Despite activation by inflammatory factors such as IFN-γ, which typically increase PD-L1 transcription, these drugs operate at the protein level to significantly reduce PD-L1 levels on tumor cells, therefore sensitizing 'cold' tumors and improving the effectiveness of anti-PD-1/PD-L1 antibodies.
DUBs also function within immune cells. For instance, USP7 inhibition can modulate the polarization state of tumor-associated macrophages, which stimulates their transition from the pro-tumorigenic M2 phenotype to the anti-tumorigenic M1 phenotype, thus improving the local immune microenvironment (78).
Specific broad-spectrum DUB inhibitors, such as PR-619 and USP51 inhibitors, induce ER stress or ferroptosis, prompting tumor cells to release damage-associated molecular patterns, including ATP and HMGB1. These signals can recruit and stimulate dendritic cells, converting an environment with low immunogenicity into one with high immunogenicity, effectively changing 'cold' tumors into 'hot' tumors (60).
Although esophageal and endometrial cancers differ vastly regarding anatomical site, tissue-embryological origin and core driving mechanisms (inflammation-driven vs. hormone-dependent), they display high consistency in their metabolic predispositions, such as obesity. This unique characteristic of being 'phenotypically distinct yet etiologically linked' provides an ideal model to explore the conservation and specificity of the deubiquitination regulatory network in tumor evolution. For a more comprehensive understanding of DUBs' functional conservation and specificity, DUBs' regulatory mechanisms in EC and uterine corpus endometrial carcinoma were detailed and compared (Fig. 4).
Endometrial cancer is a prevalent gynecological malignancy, exhibiting both similarities and marked differences in its molecular features compared to EC.
In endometrial cancer, USP14 is a high-risk predictor of recurrence. It has been found to promote cell proliferation by stabilizing IκB-α's upstream kinases or acting directly on NF-κB pathway components. Furthermore, high USP14 levels are substantially linked with increased Ki67 index (a proliferation marker) (68).
In endometriosis and malignant transformation, USP7 preserves the methylated silenced state of tumor suppressor genes by maintaining DNA methyltransferase 1 (DNMT1) and EZH2 via deubiquitination, facilitating aberrant cellular proliferation (79).
The absence of BAP1 is a characteristic feature of high-grade endometrial cancer and uterine carcinosarcoma, frequently signifying early recurrence and unfavorable prognosis. The loss of BAP1, functioning as a tumor suppressor, results in impaired DNA damage repair mechanisms and aberrant cell differentiation (80).
In both esophageal and endometrial cancer, USP14 acts as a significant oncogene and an indicator of poor prognosis. In endometrial cancer, it is primarily linked to radiation resistance (via YAP1) and EMT; it is predominantly correlated with recurrence and proliferation (through NF-κB). This suggests that USP14 is a therapeutic target with broad applicability, and its inhibitors (such as VLX1570 and Degrasyn) may be beneficial for both malignancies.
Epigenetic regulation by USP7 (commonality)USP7 functions by stabilizing epigenetic modifying enzymes (EZH2, DNMT1) across various cancers, suggesting that targeting USP7 to suppress tumors by remodeling the epigenetic landscape is a conserved cross-cancer mechanism.
Functional differences and complexity of BAP1In endometrial cancer, BAP1 predominantly demonstrates typical tumor suppressor gene loss. However, in EC, although BAP1 mutation rates are higher and can enhance proliferation in certain cell lines, certain studies suggest that particular mutations (such as F170I) may confer oncogenic characteristics or cause the loss of tumor suppressive capabilities (53-56). This suggests that BAP1's function in EC may be contingent upon context or specific mutations, rendering it more intricate than in endometrial cancer.
Hormonal regulation specificityResearch on endometrial cancer highlights the significance of deubiquitinating enzymes in hormone receptors and associated pathways, while EC studies concentrate more on environmental stressors, such as hypoxia and radiation, as well as EMT.
Based on comprehensive mechanistic research, the degree of correlation with key oncogenic pathways and the availability of inhibitors, the following DUBs were identified as the most promising targets in EC treatment (Table III).
Table IIIPreclinical research data of small molecule inhibitors targeting DUBs in esophageal cancer. |
USP7 is located at the crossroads of P53-MDM2, epigenetic (EZH2/DNMT1), and immune (PD-L1) regulation. Its inhibition can simultaneously achieve a 'kill three birds with one stone' effect by stimulating P53-dependent apoptosis, inhibiting epigenetic drivers and promoting anti-tumor immunity (21,77,79).
Because of its close association with proteasome processes and its dual modulation of YAP1 and NF-κB, USP14 demonstrates significant potential, particularly in reversing radiation resistance in EC (17,68).
PSMD14's specific modulation of Snail within the 19S proteasome renders it a crucial target for inhibiting metastasis in EC (59,60).
This section delineates the principal quantitative measurements of significant DUB inhibitors in experimental systems for EC to illustrate their efficacy levels (Table III). For example, Thiolutin inhibits tumor growth and metastasis, significantly enhancing cisplatin treatment sensitivity (60). P5091 can regulate the cell growth cycle and act synergistically with anti-PD-1 (22,78). There are also various other inhibitors that can exert their effects by inhibiting cell growth or increasing sensitivity to radiotherapy (17,81-83). For example, as a USP14 inhibitor, Degrasyn can work by enhancing radiosensitivity and reversing radiation resistance in the body (17,83). The inhibitors PR-619 and ML323 work by messing with the cell growth cycle (81,82).
Most DUBs share a highly conserved cysteine protease catalytic domain, resulting in early inhibitors (such as PR-619 and WP1130) frequently indicating broad-spectrum activity and insufficient subtype specificity. This complicates the identification of specific drug mechanisms that inhibit a single DUB and increase the risk of off-target damage (14).
Toxicity and safetyThe ubiquitination system is responsible for maintaining fundamental protein homeostasis in normal cells. Systemically inhibiting DUBs (especially DUBs intimately linked with proteasome function, like USP14) may trigger side effects similar to proteasome inhibitors (like bortezomib), including neurotoxicity and cytotoxicity.
Pharmacokinetic propertiesMultiple current DUB inhibitors have poor water solubility and low bioavailability, which limits their clinical administration methods and efficacy (84).
Lack of clinical biomarkersDespite the identification of various highly expressed DUBs in EC, there is currently a lack of standardized clinical testing methods, such as Companion Diagnostics immunohistochemical (IHC) scoring criteria (85), to effectively identify patient populations that would benefit from DUB inhibitors.
Despite considerable advancements in the study of DUBs in EC, bridging a gap from laboratory findings to clinical application necessitates addressing the following critical limitations:
The major portion of existing data is based on immortalized EC cell lines, such as the KYSE series (86). There is insufficient validation of DUB inhibitors in patient-derived xenograft (PDX) models or patient-derived organoids. Since these models effectively maintain the heterogeneity and microenvironmental traits of the underlying tumor, the insufficient data on these models limit the predictive accuracy of the clinical efficacy of medicines (87).
The data on how DUBs modulate their substrates are insufficient, and even less on how DUBs themselves are regulated by PTM (such as phosphorylation, acetylation, oxidation, ubiquitination) (18,88,89). For example, EC cells are often under oxidative stress; however, the effects of reactive oxygen species on active cysteine residues, thus altering DUBs activity, have not been comprehensively investigated (90,91).
Certain DUBs may exhibit non-catalytic roles, such as serving as scaffold proteins in complex assembly (18,92). Current inhibitors predominantly focus on the catalytic active site and may fail to inhibit non-enzymatic processes, leading to ineffective therapy (93).
In addition to fundamental expression level correlation analyses, prospective research on DUB mutations, splice variants or certain PTM states as predictive indicators of treatment efficacy is also limited (94-98).
In summary, DUBs are the key regulators of the onset, malignant progression, treatment resistance and immune evasion of EC. DUBs intricately regulate signaling pathways such as TGF-β, Wnt and NF-κB, as well as the stability of crucial oncoproteins including Snail, YAP1 and PD-L1, forming a complex oncogenic network. USP7, USP14 and PSMD14 demonstrate significant potential as therapeutic targets due to their critical roles in numerous carcinogenic pathways and the availability of previous inhibitor data.
Comparative analyses with endometrial cancer further validated the role of certain DUBs (such as USP14) as general prognostic markers for poorer prognosis, while also highlighting their functional specificity in distinct tissue environments. Current DUB inhibitors (e.g., P5091, Thiolutin and Degrasyn) have promising anti-tumor efficacy and sensitizing effects to chemotherapy and irradiation in preclinical models, specifically Thiolutin, which achieved an in vivo tumor inhibition rate exceeding 50%, and Degrasyn's ability to reverse radiation resistance (17,22,60,78,83).
However, translating these insights into clinical advantages requires addressing the selectivity challenges of inhibitors and performing thorough validation in PDX or organoid models that more accurately replicate clinical conditions (94). Future research must concentrate on developing highly selective allosteric inhibitors, utilizing innovative technologies such as proteolysis targeting chimera/deubiquitinase-targeting chimera to degrade or target DUBs (99,100), and investigating targeted immune combination therapy strategies informed by DUB expression profiles, to overcome the persistent challenge posed by EC (19).
Although organoids offer benefits in primary in vitro efficacy assessment, PDX models are essential for investigating the effects of DUBs on tumor angiogenesis, distant metastasis and systemic pharmacokinetics (101). By directly implanting patients' tumor tissue into immunodeficient mice (such as NOD-Prkdcem26Il2rgem26/Gpt or NOD scid gamma), PDX provides the same stromal architecture and intercellular connections (102).
The oncogenic roles of Josephin domain containing 2 (JOSD)2 and PSMD14 have been thoroughly confirmed in PDX models within ESCC research. For instance, JOSD2 knockdown can significantly limit volumetric expansion in PDX tumors and enhance tumor susceptibility to chemotherapeutic agents (61). Furthermore, PDX models serve as the gold standard for evaluating in vivo target engagement of allosteric inhibitors that target the non-catalytic functions of DUBs. Utilizing activity-based protein profiling in conjunction with mass spectrometry, researchers can quantitatively assess the extent to which an inhibitor restricts the specific in vivo activity of a DUB (103).
The development of humanized PDX models has emerged as a leading approach to more accurately replicate the immune microenvironment. Researchers can ascertain whether DUB inhibitors, such as USP14 inhibitors, alter tumor development dynamics by altering CAFs or influencing macrophage polarization by transplanting human hematopoietic stem cells or peripheral blood mononuclear cells to reconstruct the murine immune system (95,98). Furthermore, to ensure accurate clinical use of DUB inhibitors, it is essential to develop a standardized protocol comprising antibody validation, scoring systems, clinical threshold determination and multi-indicator joint detection (104).
Companion diagnostics can identify the patient populations most likely to benefit from specific DUB inhibitors. For instance, the Food and Drug Administration's Combined Positive Score standard for PD-L1 expression has become the criterion for the administration of pembrolizumab in ESCC (105,106). Future research for developing DUB inhibitors should establish a 'DUBome panel' that comprehensively categorizes patients by including the mRNA or protein expression profiles of 10-20 essential DUBs (107,108).
Accurate prognostic prediction models can be developed by integrating IHC data with gene microarray or next-generation sequencing results, and employing Artificial Intelligence methods for dimensionality reduction (109-111). This multimodal integrated analysis can reveal patients with moderate single-target expression but significantly elevated pathway activity, thus broadening the pool that may benefit (112-114).
The schematic mechanism figures presented in this manuscript were designed and modified with the assistance of Google Gemini (Model: Gemini 3.0 pro, Google LLC, Mountain View, CA, USA; available at https://gemini.google.com; accessed in March 2026).
YZ and CH provided the theoretical basis and wrote the manuscript. KC conducted a literature search. NS and RH classified and organized the literature. GL reviewed the manuscript. All authors read and approved the final version of the manuscript. Data authentication does not apply.
Not applicable.
Not applicable.
The authors declare that they have no competing interests.
Artificial intelligence tools (Google Gemini; Gemini 3.0 pro; https://gemini.google.com) were used to assist in figure legend drawing.
|
ATP |
adenosine triphosphate |
|
ANXA2 |
annexin A2 |
|
BAP1 |
BRCA1-associated protein 1 |
|
CAFs |
cancer-associated fibroblasts |
|
CSN5 |
COP9 signalosome subunit 5 |
|
CYLD |
cylindromatosis, lysine 63 deubiquitinase |
|
DNMT1 |
DNA methyltransferase 1 |
|
DUBs |
deubiquitinating enzymes |
|
DUBTAC |
deubiquitinase-targeting chimera |
|
E1 |
ubiquitin-activating enzyme |
|
E2 |
ubiquitin-conjugating enzyme |
|
E3 |
ubiquitin ligase |
|
EAC |
esophageal adenocarcinoma |
|
EC |
Esophageal Carcinoma |
|
EC50 |
half maximal effective concentration |
|
EMT |
epithelial-mesenchymal transition |
|
ESCC |
esophageal squamous cell carcinoma |
|
EZH2 |
enhancer of zeste homolog 2 |
|
FOXP4-AS1 |
FOXP4 antisense RNA 1 |
|
G3BP1 |
Ras-GTPase-activating protein SH3-domain-binding protein 1 |
|
GEO |
gene expression omnibus |
|
GPX4 |
glutathione peroxidase 4 |
|
H2Aub1 |
histone H2A monoubiquitination |
|
HIF-1α |
hypoxia-inducible factor 1α |
|
IC50 |
half maximal inhibitory concentration |
|
ICIs |
immune checkpoint inhibitors |
|
IKK |
inhibitor of κB kinase |
|
JAMM |
Jab1/Mov34/Mpr1 |
|
JMJD3 |
Jumonji domain containing 3 |
|
LATS |
large tumor suppressor |
|
lncRNA |
long non-coding RNA |
|
MINDY |
MIU-containing novel DUB family proteases |
|
MJD |
Machado-Joseph disease protein domain protease |
|
MOF |
males absent on the first |
|
NCG |
NOD-Prkdcem26Il2rgem26/Gpt |
|
NF-κB |
nuclear factor-κB |
|
NOXA |
PMAIP1 (phorbol-12-myristate-13-acetate-induced protein 1)/NOXA |
|
NSG |
NOD scid gamma |
|
OS |
overall survival |
|
OTUs |
ovarian tumor proteases |
|
PD-1 |
programmed cell death protein 1 |
|
PD-L1 |
programmed death-ligand 1 |
|
PDX |
patient-derived xenograft |
|
Pol ι |
DNA polymerase iota |
|
PROTAC |
proteolysis targeting chimera |
|
PSMD14 |
proteasome 26S subunit, non-ATPase 14 |
|
PTM |
post-translational modification |
|
SAGA |
Spt-Ada-Gcn5 acetyltransferase |
|
SMAD |
mothers against decapentaplegic homolog |
|
TAZ |
transcriptional coactivator with PDZ-binding motif |
|
TCGA |
The Cancer Genome Atlas |
|
TGF-β |
transforming growth factor-β |
|
TME |
tumor microenvironment |
|
UCHs |
ubiquitin C-terminal hydrolases |
|
USPs |
ubiquitin-specific proteases |
|
WISP1 |
Wnt-induced signaling protein 1 |
|
Wnt pathway |
Wnt Signaling Pathway |
|
YAP1 |
Yes-associated protein 1 |
|
ZEB1 |
zinc finger E-box binding homeobox 1 |
Not applicable.
This research was supported by the Hangzhou Joint Fund of the Zhejiang Provincial Natural Science Foundation of China (grant no. LHZQN26H290010).
|
Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I and Jemal A: Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 74:229–263. 2024.PubMed/NCBI | |
|
Rustgi AK and El-Serag HB: Esophageal carcinoma. N Engl J Med. 371:2499–2509. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Pennathur A, Gibson MK, Jobe BA and Luketich JD: Oesophageal carcinoma. Lancet. 381:400–412. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Abnet CC, Arnold M and Wei WQ: Epidemiology of esophageal squamous cell carcinoma. Gastroenterology. 154:360–373. 2018. View Article : Google Scholar | |
|
Ciechanover A: The ubiquitin proteolytic system and pathogenesis of human diseases: A novel platform for mechanism-based drug targeting. Biochem Soc Trans. 31:474–481. 2003. View Article : Google Scholar : PubMed/NCBI | |
|
Dubois ML, Meller A, Samandi S, Brunelle M, Frion J, Brunet MA, Toupin A, Beaudoin MC, Jacques JF, Lévesque D, et al: UBB pseudogene 4 encodes functional ubiquitin variants. Nat Commun. 11:13062020. View Article : Google Scholar : PubMed/NCBI | |
|
Buetow L and Huang DT: Structural insights into the catalysis and regulation of E3 ubiquitin ligases. Nat Rev Mol Cell Biol. 17:626–642. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Zheng N and Shabek N: Ubiquitin ligases: Structure, function, and regulation. Annu Rev Biochem. 86:129–157. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Pickart CM and Eddins MJ: Ubiquitin: Structures, functions, mechanisms. Biochim Biophys Acta. 1695:55–72. 2004. View Article : Google Scholar : PubMed/NCBI | |
|
Yang Q, Zhao J, Chen D and Wang Y: E3 ubiquitin ligases: Styles, structures and functions. Mol Biomed. 2:232021. View Article : Google Scholar : | |
|
Komander D, Clague MJ and Urbé S: Breaking the chains: Structure and function of the deubiquitinases. Nat Rev Mol Cell Biol. 10:550–563. 2009. View Article : Google Scholar : PubMed/NCBI | |
|
Kwon YT and Ciechanover A: The ubiquitin code in the ubiquitin-proteasome system and autophagy. Trends Biochem Sci. 42:873–886. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang X, Jin J, Cong J, Chen S, Wang T, Gao B, Huang G, Huang Z, Zhang J, Wang Z and Yang J: Role of ubiquitin-specific proteases in hepatocellular carcinoma pathogenesis. Curr Top Med Chem. 24:179–191. 2024. View Article : Google Scholar : PubMed/NCBI | |
|
Harrigan JA, Jacq X, Martin NM and Jackson SP: Deubiquitylating enzymes and drug discovery: Emerging opportunities. Nat Rev Drug Discov. 17:57–78. 2018. View Article : Google Scholar | |
|
Wang Y, Shi Y, Niu K, Yang R, Lv Q, Zhang W, Feng K and Zhang Y: Ubiquitin specific peptidase 3: An emerging deubiquitinase that regulates physiology and diseases. Cell Death Discov. 10:2432024. View Article : Google Scholar : PubMed/NCBI | |
|
Zhou H, Liu Y, Zhu R, Ding F, Cao X, Lin D and Liu Z: OTUB1 promotes esophageal squamous cell carcinoma metastasis through modulating snail stability. Oncogene. 37:3356–3368. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Yuan F, Xu J, Xuan L, Deng C, Wang W and Yang R: USP14 inhibition by degrasyn induces YAP1 degradation and suppresses the progression of radioresistant esophageal cancer. Neoplasia. 60:1011012025. View Article : Google Scholar : | |
|
Reyes-Turcu FE, Ventii KH and Wilkinson KD: Regulation and cellular roles of ubiquitin-specific deubiquitinating enzymes. Annu Rev Biochem. 78:363–397. 2009. View Article : Google Scholar : PubMed/NCBI | |
|
Li N, Zhao Z, Liu P, Zheng Y, Cai S, Sun Y and Wang B: Upregulation of deubiquitinase USP7 by transcription factor FOXO6 promotes EC progression via targeting the JMJD3/CLU axis. Mol Ther Oncolytics. 20:583–595. 2020. View Article : Google Scholar | |
|
Gao A, Zhang M, Zhu SQ, Zou S, Chen H, Li X, He C, Zhou L, Mei Y, Ding W, et al: DNA polymerase iota promotes EMT and metastasis of esophageal squamous cell carcinoma by interacting with USP7 to stabilize HIF-1α. Cell Death Dis. 15:1712024. View Article : Google Scholar | |
|
Xu Y and Lu S: Metformin inhibits esophagus cancer proliferation through upregulation of USP7. Cell Physiol Biochem. 32:1178–1186. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Hu T, Zhang J, Sha B, Li M, Wang L, Zhang Y, Liu X, Dong Z, Liu Z, Li P and Chen P: Targeting the overexpressed USP7 inhibits esophageal squamous cell carcinoma cell growth by inducing NOXA-Mediated apoptosis. Mol Carcinog. 58:42–54. 2019. View Article : Google Scholar | |
|
Guo NJ, Wang B, Zhang Y, Kang HQ, Nie HQ, Feng MK, Zhang XY, Zhao LJ, Wang N, Liu HM, et al: USP7 as an emerging therapeutic target: A key regulator of protein homeostasis. Int J Biol Macromol. 263(Pt 1): 1303092024. View Article : Google Scholar : PubMed/NCBI | |
|
Sha B, Chen X, Wu H, Li M, Shi J, Wang L, Liu X, Chen P, Hu T and Li P: Deubiquitylatinase inhibitor B-AP15 Induces c-Myc-Noxa-Mediated apoptosis in esophageal squamous cell carcinoma. Apoptosis. 24:826–836. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Hu T, Peng H, Yang F, Zhang F and He J: Circ_0024108 promotes the progression of esophageal cancer cells. Gen Thorac Cardiovasc Surg. 71:418–431. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Tao H, Song SJ, Fan ZW, Li WT, Jin X, Jiang W, Bai J and Shi ZZ: PKCiota inhibits the ferroptosis of esophageal cancer cells via suppressing USP14-mediated autophagic degradation of GPX4. Antioxidants (Basel). 13:1142024. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang B, Li M, Huang P, Guan XY and Zhu YH: Overexpression of ubiquitin specific peptidase 14 predicts unfavorable prognosis in esophageal squamous cell carcinoma. Thorac Cancer. 8:344–349. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang J, Zhang D and Sun L: Knockdown of ubiquitin-specific protease 14 (USP14) inhibits the proliferation and tumorigenesis in esophageal squamous cell carcinoma cells. Oncol Res. 25:249–257. 2017. View Article : Google Scholar | |
|
Lei K, Liang R, Liang J, Lu N, Huang J, Xu K, Tan B, Wang K, Liang Y, Wang W, et al: CircPDE5A-Encoded novel regulator of the PI3K/AKT pathway inhibits esophageal squamous cell carcinoma progression by promoting USP14-Mediated de-Ubiquitination of PIK3IP1. J Exp Clin Cancer Res. 43:1242024. View Article : Google Scholar : PubMed/NCBI | |
|
Li P, Yang L, Park SY, Liu F, Li AH, Zhu Y, Sui H, Gao F, Li L, Ye L, et al: Stabilization of MOF (KAT8) by USP10 promotes esophageal squamous cell carcinoma proliferation and metastasis through epigenetic activation of ANXA2/Wnt signaling. Oncogene. 43:899–917. 2024. View Article : Google Scholar : PubMed/NCBI | |
|
Cao YF, Xie L, Tong BB, Chu MY, Shi WQ, Li X, He JZ, Wang SH, Wu ZY, Deng DX, et al: Targeting USP10 induces degradation of oncogenic ANLN in esophageal squamous cell carcinoma. Cell Death Differ. 30:527–543. 2023. View Article : Google Scholar : | |
|
Shen GY, Zhang Y, Huang RZ, Huang ZY, Yang LY, Chen DZ and Yang SB: FOXP4-AS1 promotes CD8+ T cell exhaustion and esophageal cancer immune escape through USP10-Stabilized PD-L1. Immunol Res. 72:766–775. 2024. View Article : Google Scholar : PubMed/NCBI | |
|
Zhao X, Ma Y, Li J, Sun X, Sun Y, Qu F, Shi X, Xie Y, Liu S, Ma Y, et al: The AEG-1-USP10-PARP1 axis confers radioresistance in esophageal squamous cell carcinoma via facilitating homologous recombination-dependent DNA damage repair. Cancer Lett. 577:2164402023. View Article : Google Scholar : PubMed/NCBI | |
|
Yang Q, Ou C, Liu M, Xiao W, Wen C and Sun F: NRAGE promotes cell proliferation by stabilizing PCNA in a ubiquitin-proteasome pathway in esophageal carcinomas. Carcinogenesis. 35:1643–1651. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Ma ZQ, Feng YT, Guo K, Liu D, Shao CJ, Pan MH, Zhang YM, Zhang YX, Lu D, Huang D, et al: Melatonin inhibits ESCC tumor growth by mitigating the HDAC7/β-Catenin/c-Myc positive feedback loop and suppressing the USP10-maintained HDAC7 protein stability. Mil Med Res. 9:542022. | |
|
Guo J, Zhao Y, Sui H, Liu L, Liu F, Yang L, Gao F, Wang J, Zhu Y, Li L, et al: USP21-Mediated G3BP1 stabilization accelerates proliferation and metastasis of esophageal squamous cell carcinoma via activating Wnt/β-Catenin signaling. Oncogenesis. 13:232024. View Article : Google Scholar | |
|
Wu Y, Guo Y and Wang Q: USP21 accelerates the proliferation and glycolysis of esophageal cancer cells by regulating the STAT3/FOXO1 pathway. Tissue Cell. 79:1019162022. View Article : Google Scholar : PubMed/NCBI | |
|
Yang L, Sui H, Ding Y, Zhu Y, Song X, Zhang Y, Fan G, Wang J, Cui X, Jiang Y, et al: Disulfiram impairs USP21-Mediated MOF-K257 deubiquitination to inhibit esophageal squamous cell carcinoma progression. Cancer Lett. 611:2174192024. View Article : Google Scholar : PubMed/NCBI | |
|
Song C, Peng J, Wei Y, Shao J, Chen X, Zhang X and Xu J: USP18 promotes tumor metastasis in esophageal squamous cell carcinomas via deubiquitinating ZEB1. Exp Cell Res. 409:1128842021. View Article : Google Scholar : PubMed/NCBI | |
|
Wei B, Xu L, Hui H, Sun Y and Wu J: USP9X mRNA expression predicts clinical outcome for esophageal squamous cell carcinoma treated with cisplatin-based therapy. Clin Res Hepatol Gastroenterol. 44:932–938. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Chen W, Shan Y and Li J: A Pan-Cancer Analysis of Deubiquitinating Enzyme Ubiquitin-Specific Protease 9X as a prognostic and immunological biomarker in human tumors. J Biol Regul Homeost Agents. 37:637–646. 2023. | |
|
Peng J, Hu Q, Liu W, He X, Cui L, Chen X, Yang M, Liu H, Wei W, Liu S and Wang H: USP9X expression correlates with tumor progression and poor prognosis in esophageal squamous cell carcinoma. Diagn Pathol. 8:1772013. View Article : Google Scholar : PubMed/NCBI | |
|
Zhou Q, Zheng S, Lager Z, Kelia M, Zhao Z, Huang W, Lv X, Liu L and Cheng W: USP53 inhibits cell proliferation and glutamine metabolism by inactivating the β-Catenin signaling via deubiquitination of Axin1 in esophageal squamous cell carcinoma. J Biol Regul Homeost Agents. 2022:2167–2176. 2022. | |
|
Xia G, Guo Y, Zhang J, Han M, Meng X and Lv J: An overview of the deubiquitinase USP53: A promising diagnostic marker and therapeutic target. Curr Protein Pept Sci. 25:708–718. 2024. View Article : Google Scholar : PubMed/NCBI | |
|
Cheng W, Tang Y, Tong X, Zhou Q, Xie J, Wang J, Han Y, Ta N and Ye Z: USP53 Activated by H3K27 acetylation regulates cell viability, apoptosis and metabolism in esophageal carcinoma via the AMPK signaling pathway. Carcinogenesis. 43:349–359. 2022. View Article : Google Scholar | |
|
Sun J, Deng Y, Shi J and Yang W: MicroRNA-542-3p represses OTUB1 expression to inhibit migration and invasion of esophageal cancer cells. Mol Med Rep. 21:35–42. 2020.PubMed/NCBI | |
|
Zhu Y, Kang N, Zhang L, Tao J, Xue W, Li H, Li Y, Zheng X, He W and Ma J: Targeting and degradation of OTUB1 by erianin for antimetastasis in esophageal squamous cell carcinoma. Phytomedicine. 135:1559692024. View Article : Google Scholar : PubMed/NCBI | |
|
Liu L, Cheng H, Ji M, Su L, Lu Z, Hu X, Guan Y, Xiao J, Ma L, Zhang W and Pu H: OTUB2 Regulates YAP1/TAZ to promotes the progression of esophageal squamous cell carcinoma. Biol Proced Online. 24:102022. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang Y, Zhang H, Wang C, Cao S, Cheng X, Jin L, Ren R and Zhou F: circRNA6448-14/miR-455-3p/OTUB2 axis stimulates glycolysis and stemness of esophageal squamous cell carcinoma. Aging (Albany NY). 16:9485–9497. 2024. View Article : Google Scholar : PubMed/NCBI | |
|
Mandelker DL, Yamashita K, Tokumaru Y, Mimori K, Howard DL, Tanaka Y, Carvalho AL, Jiang WW, Park HL, Kim MS, et al: PGP9.5 Promoter methylation is an independent prognostic factor for esophageal squamous cell carcinoma. Cancer Res. 65:4963–4968. 2005. View Article : Google Scholar : PubMed/NCBI | |
|
Hibi K, Kodera Y, Ito K, Akiyama S, Shirane M and Nakao A: Plasminogen activator inhibitor-1 is a downstream mediator of the PGP9.5-Related oncogenic pathway in esophageal squamous cell carcinoma. Anticancer Res. 24:3731–3734. 2004. | |
|
Tokumaru Y, Yamashita K, Kim MS, Park HL, Osada M, Mori M and Sidransky D: The role of PGP9.5 as a tumor suppressor gene in human cancer. Int J Cancer. 123:753–759. 2008. View Article : Google Scholar : PubMed/NCBI | |
|
Wang F, Luo M, Qu H and Cheng Y: BAP1 promotes viability and migration of ECA109 cells through KLF5/CyclinD1/FGF-BP1. FEBS Open Bio. 11:1497–1503. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Mori T, Sumii M, Fujishima F, Ueno K, Emi M, Nagasaki M, Ishioka C and Chiba N: Somatic alteration and depleted nuclear expression of BAP1 in human esophageal squamous cell carcinoma. Cancer Sci. 106:1118–1129. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Salem ME, Puccini A, Xiu J, Raghavan D, Lenz HJ, Korn WM, Shields AF, Philip PA, Marshall JL and Goldberg RM: Comparative molecular analyses of esophageal squamous cell carcinoma, esophageal adenocarcinoma, and gastric adenocarcinoma. Oncologist. 23:1319–1327. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Li XC, Wang MY, Yang M, Dai HJ, Zhang BF, Wang W, Chu XL, Wang X, Zheng H, Niu RF, et al: A mutational signature associated with alcohol consumption and prognostically significantly mutated driver genes in esophageal squamous cell carcinoma. Ann Oncol. 29:938–944. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Feng A, Yang N, Yu R, Liu J, Pang J, Wu X, Shao Y, Yang Z and Dai H: Prognostic implications of six altered genes in asian non-surgical esophageal carcinoma patients treated with chemoradiotherapy. Onco Targets Ther. 15:41–51. 2022. View Article : Google Scholar : PubMed/NCBI | |
|
Chen Y, Fu D, Xi J, Ji Z, Liu T, Ma Y, Zhao Y, Dong L, Wang Q and Shen X: Expression and clinical significance of UCH37 in human esophageal squamous cell carcinoma. Dig Dis Sci. 57:2310–2317. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Zhu R, Liu Y, Zhou H, Li L, Li Y, Ding F, Cao X and Liu Z: Deubiquitinating enzyme PSMD14 promotes tumor metastasis through stabilizing SNAIL in human esophageal squamous cell carcinoma. Cancer Lett. 418:125–134. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Jing C, Li X, Zhou M, Zhang S, Lai Q, Liu D, Ye B, Li L, Wu Y, Li H, et al: The PSMD14 inhibitor thiolutin as a novel therapeutic approach for esophageal squamous cell carcinoma through facilitating SNAIL degradation. Theranostics. 11:5847–5862. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Wang WP, Shi D, Yun D, Hu J, Wang JF, Liu J, Yang YP, Li MR, Wang JF and Kong DL: Role of deubiquitinase JOSD2 in the pathogenesis of esophageal squamous cell carcinoma. World J Gastroenterol. 30:565–578. 2024. View Article : Google Scholar : PubMed/NCBI | |
|
Xu DD, Zhou PJ, Wang Y, Zhang L, Fu WY, Ruan BB, Xu HP, Hu CZ, Tian L, Qin JH, et al: Reciprocal activation between STAT3 and miR-181b regulates the proliferation of esophageal cancer stem-like cells via the CYLD pathway. Mol Cancer. 15:402016. View Article : Google Scholar : PubMed/NCBI | |
|
Wei R, Liu X, Yu W, Yang T, Cai W, Liu J, Huang X, Xu G, Zhao S, Yang J and Liu S: Deubiquitinases in cancer. Oncotarget. 6:12872–12889. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Kim SY and Baek KH: TGF-β signaling pathway mediated by deubiquitinating enzymes. Cell Mol Life Sci. 76:653–665. 2019. View Article : Google Scholar | |
|
Liu S, de Boeck M, van Dam H and Ten Dijke P: Regulation of the TGF-β pathway by deubiquitinases in cancer. Int J Biochem Cell Biol. 76:135–145. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Wang A, Wang Y, Ma Q and Chen X: The carcinogenesis of esophageal squamous cell cancer is positively regulated by USP13 through WISP1 deubiquitination. Biofactors. 51:e21392025. View Article : Google Scholar | |
|
Deng M, Dai W, Yu VZ, Tao L and Lung ML: Cylindromatosis lysine 63 deubiquitinase (CYLD) regulates NF-kB signaling pathway and modulates fibroblast and endothelial cells recruitment in nasopharyngeal carcinoma. Cancers (Basel). 12:19242020. View Article : Google Scholar : PubMed/NCBI | |
|
Gong X, Jia L, Zhou L and Hu T: USP14 predicts poorer survival outcomes and promotes tumor progression in endometrial carcinoma by activating NF-κB signaling. Aging (Albany NY). 15:12120–12135. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang W, Luo J, Xiao Z, Zang Y, Li X, Zhou Y, Zhou J, Tian Z, Zhu J and Zhao X: USP36 facilitates esophageal squamous carcinoma progression via stabilizing YAP. Cell Death Dis. 13:10212022. View Article : Google Scholar : PubMed/NCBI | |
|
Su D, Wang W, Hou Y, Wang L, Yi X, Cao C, Wang Y, Gao H, Wang Y, Yang C, et al: Bimodal regulation of the PRC2 complex by USP7 underlies tumorigenesis. Nucleic Acids Res. 49:4421–4440. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Li J, Wang Z and Li Y: USP22 nuclear expression is significantly associated with progression and unfavorable clinical outcome in human esophageal squamous cell carcinoma. J Cancer Res Clin Oncol. 138:1291–1297. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Liao C, Wang Q, An J, Long Q, Wang H, Xiang M, Xiang M, Zhao Y, Liu Y, Liu J and Guan X: Partial EMT in squamous cell carcinoma: A snapshot. Int J Biol Sci. 17:3036–3047. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Wen J, Luo KJ, Liu QW, Wang G, Zhang MF, Xie XY, Yang H, Fu JH and Hu Y: The epithelial-mesenchymal transition phenotype of metastatic lymph nodes impacts the prognosis of esophageal squamous cell carcinoma patients. Oncotarget. 7:37581–37588. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Li G, Qi HW, Dong HG, Bai P, Sun M and Liu HY: Targeting deubiquitinating enzyme USP26 by microRNA-203 regulates Snail1's pro-Metastatic functions in esophageal cancer. Cancer Cell Int. 20:3552020. View Article : Google Scholar : PubMed/NCBI | |
|
Li L, Zhu R, Zhou H, Cui CP, Yu X, Liu Y, Yin Y, Li Y, Feng R, Katz JP, et al: All-Trans retinoic acid promotes a tumor suppressive OTUD6B-β-TrCP-SNAIL axis in esophageal squamous cell carcinoma and enhances immunotherapy. Adv Sci (Weinh). 10:e22074582023. View Article : Google Scholar | |
|
Peng H, He Y, Hu Y, Sheng S, Maitiyasen M, Li J, Liu Y, Hou X, Song H and Yi J: Berbamine promotes ferroptosis of esophageal squamous cell carcinoma by facilitating USP51-Mediated GPX4 ubiquitination and degradation. Biomed Pharmacother. 179:1173092024. View Article : Google Scholar : PubMed/NCBI | |
|
Ding P, Ma Z, Fan Y, Feng Y, Shao C, Pan M, Zhang Y, Huang D, Han J, Hu Y and Yan X: Emerging role of ubiquitination/deubiquitination modification of PD-1/PD-L1 in cancer immunotherapy. Genes Dis. 10:848–863. 2022. View Article : Google Scholar : PubMed/NCBI | |
|
Fang C, Wu L, Yang X, Xie K, Zhang P, Feng Y, Ma H and Tong X: Decursin suppresses esophageal squamous cell carcinoma progression via orchestrated cell cycle deceleration, apoptotic activation, and oncoprotein degradation. Int J Mol Sci. 26:53912025. View Article : Google Scholar : PubMed/NCBI | |
|
Gao X, Liu L, Liu X, Shen Y and Fan Y: Study on the mechanism of USP7 promoting endometriosis by regulating DNMT1 deubiquitination level. Biochem Cell Biol. 103:1–14. 2025. View Article : Google Scholar : PubMed/NCBI | |
|
Toussaint MA, Hiskey M, Chinn Z, Cohen C and Hanley K: Preneoplastic and neoplastic endometrial lesions are associated with loss of BAP1 expression by immunohistochemistry. Am J Clin Pathol. 146(suppl_1): S552016. View Article : Google Scholar | |
|
Shen K and Zhang Q: Literature review: Nuclear factor kappa B (NF-κB) regulation in human cancers mediated by ubiquitin-specific proteases (USPs). Ann Transl Med. 12:902024. View Article : Google Scholar | |
|
Sun Y, Sha B, Huang W, Li M, Zhao S, Zhang Y, Yan J, Li Z, Tang J, Duan P, et al: ML323, a USP1 inhibitor triggers cell cycle arrest, apoptosis and autophagy in esophageal squamous cell carcinoma cells. Apoptosis. 27:545–560. 2022. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang T, Ma C, Zhang Z, Zhang H and Hu H: NF-κB signaling in inflammation and cancer. MedComm (2020). 2:618–653. 2021. View Article : Google Scholar : | |
|
Kapadia BB and Gartenhaus RB: DUBbing down translation: The functional interaction of deubiquitinases with the translational machinery. Mol Cancer Ther. 18:1475–1483. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Taylor CR: Predictive Biomarkers and Companion Diagnostics. The Future of Immunohistochemistry: 'In Situ Proteomics,' or Just a 'Stain'? Appl Immunohistochem Mol Morphol. 22:555–561. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang C, Li C, Su JZ, Zhao K, Shao L and Deng J: The genomic landscape of esophageal squamous cell carcinoma cell lines. Cancer Cell Int. 25:1742025. View Article : Google Scholar : PubMed/NCBI | |
|
Lan T, Xue X, Dunmall LC, Miao J and Wang Y: Patient-Derived Xenograft: A developing tool for screening biomarkers and potential therapeutic targets for human esophageal cancers. Aging (Albany NY). 13:12273–12293. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Das T, Shin SC, Song EJ and Kim EE: Regulation of deubiquitinating enzymes by post-translational modifications. Int J Mol Sci. 21:40282020. View Article : Google Scholar : PubMed/NCBI | |
|
Wang Y and Wang F: Post-Translational modifications of deubiquitinating enzymes: Expanding the ubiquitin code. Front Pharmacol. 12:6850112021. View Article : Google Scholar : PubMed/NCBI | |
|
Lee JG, Baek K, Soetandyo N and Ye Y: Reversible inactivation of deubiquitinases by reactive oxygen species in vitro and in cells. Nat Commun. 4:15682013. View Article : Google Scholar : PubMed/NCBI | |
|
Yin Z, Yang L, Wu F, Fan J, Xu J, Jin Y and Yang G: reactive oxygen species-mediated cezanne inactivation by oxidation of its catalytic cysteine residue in hepatocellular carcinoma. Oncol Res. 27:1069–1077. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Campos Alonso M and Knobeloch KP: In the moonlight: Non-catalytic functions of ubiquitin and ubiquitin-like proteases. Front Mol Biosci. 11:13495092024. View Article : Google Scholar : PubMed/NCBI | |
|
Faryal B, Ul Abideen Z, Irfan M, Ahmed H, Jalilov F, Abduraximova L and Ashraf GA: Targeted protein degradation in cancer: PROTACs, new targets, and clinical mechanisms. Biomolecules. 16:3252026. View Article : Google Scholar : PubMed/NCBI | |
|
Bakkar M, Khalil S, Bhayekar K, Kushwaha ND, Samarbakhsh A, Dorandish S, Edwards H, Dou QP, Ge Y and Gavande NS: Ubiquitin-Specific protease inhibitors for cancer therapy: Recent advances and future prospects. Biomolecules. 15:2402025. View Article : Google Scholar : PubMed/NCBI | |
|
Liu F, Chen J, Li K, Li H, Zhu Y, Zhai Y, Lu B, Fan Y, Liu Z, Chen X, et al: Ubiquitination and deubiquitination in cancer: From mechanisms to novel therapeutic approaches. Mol Cancer. 23:1482024. View Article : Google Scholar : PubMed/NCBI | |
|
Poondla N, Chandrasekaran AP, Kim KS and Ramakrishna S: Deubiquitinating enzymes as cancer biomarkers: New therapeutic opportunities? BMB Rep. 52:181–189. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Yu S, Wang Z, Wang M, Li K, Shang X, Zhao Y, Hu R, Li H and Su M: OTU deubiquitinases in cancer pathogenesis and precision therapy. Am J Cancer Res. 15:4811–4844. 2025. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang J, van Dinther M, Thorikay M, Gourabi BM, Kruithof BPT and Ten Dijke P: Opposing USP19 splice variants in TGF-β signaling and TGF-β-induced epithelial-mesenchymal transition of breast cancer cells. Cell Mol Life Sci. 80:432023. View Article : Google Scholar | |
|
Wang T, Li P, Xu S and Xu G: Multidimensional analysis of deubiquitinating enzymes in colorectal cancer: Biological mechanisms and targeted therapeutic strategies. Front Oncol. 16:18089322026. View Article : Google Scholar : PubMed/NCBI | |
|
Wang D, Min W, Jiang B, Sun H, Sun C and Yang P: From concept to application: Exploring the evolution and potential of DUBTAC technology. Acta Pharm Sin B. 16:770–787. 2026. View Article : Google Scholar : PubMed/NCBI | |
|
Gao J, Lan J, Liao H, Yang F, Qiu P, Jin F, Wang S, Shen L, Chao T, Zhang C and Zhu Y: Promising preclinical patient-derived organoid (PDO) and Xenograft (PDX) models in upper gastrointestinal cancers: Progress and challenges. BMC Cancer. 23:12052023. View Article : Google Scholar : PubMed/NCBI | |
|
Liu M and Yang X: Patient-Derived xenograft models: Current status, challenges, and innovations in cancer research. Genes Dis. 12:1015202025. View Article : Google Scholar : PubMed/NCBI | |
|
Jones HBL, Heilig R, Davis S, Fischer R, Kessler BM and Pinto-Fernández A: ABPP-HT*-Deep meets fast for activity-based profiling of deubiquitylating enzymes using advanced DIA mass spectrometry methods. Int J Mol Sci. 23:32632022. View Article : Google Scholar : PubMed/NCBI | |
|
Khoury JD, Wang WL, Prieto VG, Medeiros LJ, Kalhor N, Hameed M, Broaddus R and Hamilton SR: Validation of immunohistochemical assays for integral biomarkers in the NCI-MATCH EAY131 clinical trial. Clin Cancer Res. 24:521–531. 2018. View Article : Google Scholar | |
|
Adenis A, Kulkarni AS, Girotto GC, de la Fouchardiere C, Senellart H, van Laarhoven HWM, Mansoor W, Al-Rajabi R, Norquist J, Amonkar M, et al: Impact of pembrolizumab versus chemotherapy as second-line therapy for advanced esophageal cancer on health-related quality of life in KEYNOTE-181. J Clin Oncol. 40:382–391. 2022. View Article : Google Scholar | |
|
Harada K, Yamamoto S and Kato K: Pembrolizumab for the treatment of advanced esophageal cancer. Future Oncol. 18:2311–2319. 2022. View Article : Google Scholar : PubMed/NCBI | |
|
Jones HBL, Heilig R, Fischer R, Kessler BM and Pinto-Fernández A: ABPP-HT - high-throughput activity-based profiling of deubiquitylating enzyme inhibitors in a cellular context. Front Chem. 9:6401052021. View Article : Google Scholar : PubMed/NCBI | |
|
Pinto-Fernández A, Davis S, Schofield AB, Scott HC, Zhang P, Salah E, Mathea S, Charles PD, Damianou A, Bond G, et al: Comprehensive landscape of active deubiquitinating enzymes profiled by advanced chemoproteomics. Front Chem. 7:5922019. View Article : Google Scholar : PubMed/NCBI | |
|
Lobato-Delgado B, Priego-Torres B and Sanchez-Morillo D: Combining molecular, imaging, and clinical data analysis for predicting cancer prognosis. Cancers (Basel). 14:32152022. View Article : Google Scholar : PubMed/NCBI | |
|
Hsu CY, Askar S, Alshkarchy SS, Nayak PP, Attabi KAL, Khan MA, Mayan JA, Sharma MK, Islomov S and Soleimani Samarkhazan H: AI-driven multi-omics integration in precision oncology: Bridging the data deluge to clinical decisions. Clin Exp Med. 26:292025. View Article : Google Scholar : PubMed/NCBI | |
|
Chen RJ, Lu MY, Williamson DFK, Chen TY, Lipkova J, Noor Z, Shaban M, Shady M, Williams M, Joo B and Mahmood F: Pan-Cancer integrative histology-genomic analysis via multimodal deep learning. Cancer Cell. 40:865–878.e6. 2022. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang B, Wan Z, Luo Y, Zhao X, Samayoa J, Zhao W and Wu S: Multimodal integration strategies for clinical application in oncology. Front Pharmacol. 16:16090792025. View Article : Google Scholar : PubMed/NCBI | |
|
Wang HY, Lin WY, Zhou C, Yang ZA, Kalpana S and Lebowitz MS: Integrating artificial intelligence for advancing multiple-cancer early detection via serum biomarkers: A narrative review. Cancers (Basel). 16:8622024. View Article : Google Scholar : PubMed/NCBI | |
|
Bogen SA, Dabbs DJ, Miller KD, Nielsen S, Parry SC, Szabolcs MJ, t'Hart N, Taylor CR and Torlakovic EE: A consortium for analytic standardization in immunohistochemistry. Arch Pathol Lab Med. 147:584–590. 2022. View Article : Google Scholar : PubMed/NCBI |