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Lung cancer is one of the most devastating malignancies worldwide, exerting a profound effect on patients, families, healthcare systems, and society. Lung cancer is often diagnosed at an advanced stage, when symptoms, such as persistent cough, dyspnea, weight loss, and chest pain, have already become evident. For patients, the disease causes not only physical discomfort but also emotional distress, fear, and uncertainty regarding prognosis and treatment outcomes. The burden extends far beyond the individual, as families frequently experience psychological strain while navigating caregiving responsibilities, financial challenges, and lifestyle disruption (1-4). Current treatment strategies for lung cancer rely on a multidisciplinary approach that includes surgery, radiotherapy, cytotoxic chemotherapy, targeted therapies, and immune checkpoint inhibitors. At the molecular level, the identification of actionable alterations, such as epidermal growth factor receptor mutations, anaplastic lymphoma kinase rearrangements, ROS proto-oncogene 1, receptor tyrosine kinase fusions, and Kirsten rat sarcoma viral oncogene homolog (KRAS) G12C mutations, has revolutionized the treatment of lung cancer, enabling precision therapies with significant clinical benefit (5-8). Immunotherapy, particularly programmed cell death 1 (PD-1)/programmed death-ligand 1 (PD-L1) blockade, has further improved the treatment landscape for advanced disease and prolonged survival in subsets of patients. Nevertheless, major challenges remain. Numerous patients present with tumors lacking actionable driver mutations, and even among those who initially respond to targeted agents or immunotherapy, acquired resistance inevitably develops (9-12). Early-stage diagnosis remains insufficient due to limitations in current screening approaches, and tumor microenvironment heterogeneity further complicates therapeutic responses. Consequently, the overall 5-year survival rate for lung cancer remains significantly lower compared with other common malignancies, particularly for patients with metastatic disease. These limitations reflect the biological aggressiveness of lung cancer and the challenges associated with its early detection. Therefore, there is a compelling need to identify additional molecular pathways, biomarkers, and therapeutic targets to improve early diagnosis, overcome treatment resistance, and expand effective treatment options (6,13-15).
PDZ and LIM domain protein 2 (PDLIM2) is a cytoskeletal and nuclear regulatory protein that regulates diverse cellular functions through its ability to mediate ubiquitination-dependent protein turnover and control the stability and activity of key signaling molecules (16,17). It is significantly downregulated in lung cancer tissues and cell lines, and reduced expression is associated with tumor progression, enhanced NF-κB and STAT3-mediated inflammatory signaling, loss of epithelial identity, metastasis, reshaped antitumor immunity, and dysregulated mitochondrial metabolic function. Because of the substantial global burden of lung cancer, the limitations of current therapies, and the need for novel biomarkers and molecular targets, PDLIM2 has emerged as a compelling candidate for further study. Accordingly, the present review focuses on PDLIM2 structure, regulation, and function in lung cancer, and highlights its unique role as a tumor suppressor. Its potential as a biomarker and therapeutic target in lung cancer management is also discussed.
The PDZ-LIM (PDLIM) protein family consists of seven structurally related adaptor proteins: PDLIM1 (CLP-36), PDLIM2 (Mystique or SLIM), PDLIM3 (ALP), PDLIM4 (RIL), PDLIM5 (ENH), PDLIM6 (ZASP), and PDLIM7 (Enigma), which are characterized by the presence of an N-terminal PDZ domain and either one LIM domain (PDLIM1-PDLIM4) or three LIM domains (PDLIM5-PDLIM7) at the C-terminus (Fig. 1A) (18-20). The PDZ domain is comprised of 80-100 amino acids and is a well-characterized protein-protein interaction scaffold found in >150 proteins in the human genome. Minimal molecular alterations within PDZ-binding sites can markedly alter binding specificity, which suggests that structurally similar PDZ domains are capable of interacting with diverse ligands (21-24). The LIM domain contains 40-60 amino acids and adopts a zinc finger fold that facilitates protein-protein interactions. It is enriched in cysteine residues, and conserved cysteine and histidine residues coordinate two Zn2+ ions in a tetrahedral arrangement to stabilize the domain structure. Notably, ~70 LIM domain-containing proteins are encoded in the human genome, which highlights the importance of this domain in cellular signaling (25-28). The combination of PDZ and LIM domains endows PDLIM family members with exceptional scaffolding capacity, enabling them to interact with a wide range of binding partners and perform diverse cellular functions.
Among the PDLIM family members, PDLIM2 is unique in its cellular functions and prominent role in tumor regulation (16,17). PDLIM2 was initially identified from a rat eye iridocorneal angle cDNA library and shown to interact with α-actinin and filamin A (29). Early research reported PDLIM2 expression in insulin-like growth factor I receptor-expressing cells, where it localizes to cytoskeletal focal contacts and associates with α-actinin and β1-integrin. Under physiological conditions, PDLIM2 is ubiquitously expressed in tissues, with particularly high expression in the lung (30). The human PDLIM2 gene is located on chromosome 8p21.2. Its expression is more abundant than in non-transformed breast epithelial cells and breast carcinoma cells. Overexpression of PDLIM2 suppresses anchorage-independent growth, which requires both the PDZ and LIM domains (30). Subsequent studies identified SLIM/PDLIM2 as a STAT4-interacting protein in a yeast two-hybrid screen. Its nuclear localization enables interaction with activated STAT proteins, and PDLIM2 promotes the proteasome-mediated degradation and inactivation of STAT transcription factors. PDLIM2 deficiency results in increased STAT expression and enhanced IFN-γ production in activated CD4+ T cells. These results established PDLIM2 as a novel regulator of immune responses through ubiquitin-mediated control of STAT signaling (31,32).
Ubiquitination is a highly conserved post-translational modification that is essential for maintaining cellular homeostasis. This process involves the covalent attachment of ubiquitin, a 76-amino acid polypeptide, to lysine residues on substrate proteins, thereby regulating their stability (33-35). Although ubiquitination is classically associated with targeting proteins for proteasomal degradation, it also regulates protein activity, localization, and protein-protein interactions in a wide array of biological processes, including DNA damage repair, innate and adaptive immune signaling, cell-cycle progression, autophagy, vesicle trafficking, and cellular stress responses (36-43). The functional versatility of ubiquitination arises from the ability of ubiquitin to form distinct architectures, such as K48-, K63-, and M1-linked polyubiquitin chains, each encoding specific biochemical signals. Ubiquitination proceeds through a hierarchical enzymatic cascade that involves three core enzyme classes: E1 ubiquitin-activating enzymes, E2 ubiquitin-conjugating enzymes, and E3 ubiquitin ligases. E1 enzymes initiate the process by activating ubiquitin in an ATP-dependent manner to form a high-energy thioester bond with ubiquitin. Activated ubiquitin is subsequently transferred to an E2 enzyme, which serves as a carrier. The final and most selective step is mediated by E3 ubiquitin ligases, which simultaneously bind to the E2-ubiquitin complex and the substrate protein to catalyze the transfer of ubiquitin to the target (44-46). E3 ligases are the primary determinants of substrate specificity and exhibit extensive structural and functional diversity, including RING, HECT, and RBR domain-containing proteins (47-50). Besides this classical E1-E2-E3 paradigm, other regulatory layers have been identified. E4 ubiquitin chain-elongation factors facilitate the extension of pre-attached ubiquitin chains, which enables the formation of chain lengths or linkages required for proteasomal recognition (51-53).
The LIM domain of PDLIM2 shares structural similarity with the RING finger domains of numerous E3 ubiquitin ligases. Both domains contain conserved cysteine and histidine residues that coordinate zinc ions, suggesting that LIM domains are a subtype of RING-like structures (Fig. 1B) (28,54). Based on this structural resemblance, early research examined whether PDLIM2 exhibits intrinsic E3 ubiquitin ligase activity. PDLIM2 was shown to undergo self-ubiquitination in vitro in the presence of the E1 and E2 enzymes and to promote the proteasome-dependent degradation of STAT transcription factors, which supports its function as an E3 ubiquitin ligase. These results have established PDLIM2 as a negative regulator of STAT-mediated cytokine signaling (31). Subsequent research demonstrated that PDLIM2 also functions as a nuclear E3 ubiquitin ligase that targets NF-κB signaling. Specifically, PDLIM2 negatively regulates NF-κB activity by promoting the polyubiquitination and proteasomal degradation of the p65/RelA subunit. Structure-function analyses revealed that the LIM domain is required for E3 ligase activity, whereas the PDZ domain mediates intranuclear targeting and substrate engagement. By degrading p65/RelA, PDLIM2 serves as a key negative regulator of NF-κB-dependent immune and inflammatory responses (55).
The function of PDLIM2 in promoting the ubiquitination of p65/RelA has been further characterized. Multiple mechanistic models have been established to explain how PDLIM2 promotes RelA degradation (Fig. 2). Other than the monomeric E3 ligase activity identified for p65/RelA (55), mechanisms involving heterodimeric cooperation and participation in multiprotein ubiquitin ligase complexes were identified. In an example of the heterodimeric mechanism, the RING finger protein makorin ring finger protein 2 (MKRN2) was identified as a PDLIM2-interacting partner through yeast two-hybrid screening. MKRN2 binds directly to p65/RelA and promotes its polyubiquitination through its RING domain. PDLIM2 and MKRN2 act cooperatively to enhance RelA ubiquitination and proteasomal degradation. The evidence supports functional synergy between these two E3 ligases (56). In another example, PDLIM7, which is a closely related PDLIM family member, was shown to function as an E3 ubiquitin ligase that suppresses NF-κB-mediated inflammation. PDLIM7 directly ubiquitinates p65/RelA and forms a heterodimer with PDLIM2, thereby enhancing PDLIM2-mediated RelA turnover. Mechanistically, PDLIM7 promotes the K63-linked ubiquitination of PDLIM2, which facilitates recruitment of the autophagy and proteasome cargo adaptor p62/SQSTM1. This interaction promotes delivery of the PDLIM2-RelA complex to the proteasome. The combined knockdown of PDLIM2 and PDLIM7 or p62/SQSTM1 results in higher proinflammatory cytokine production compared with single knockdown, which supports their cooperative regulatory roles (57). In addition to proteasome-mediated degradation, selective autophagic pathways also contribute to PDLIM2-dependent RelA turnover. The planar cell polarity protein Van Gogh-like protein 2 recruits PDLIM2 to catalyze the K63-linked ubiquitination of p65/RelA, which is subsequently recognized by the autophagy cargo receptor nuclear dot protein 52 kDa (58). This mechanism promotes selective autophagic degradation of RelA, which further illustrates the versatility of PDLIM2 in regulating NF-κB signaling through distinct degradative pathways.
Beyond monomeric and heterodimeric mechanisms, PDLIM2 has been shown to function within the Cullin-RING ubiquitin ligase (CRL) complexes. CRLs are multi-subunit E3 ligases consisting of a Cullin scaffold to bridge a substrate-recognition module, such as the F-box proteins, and a RING finger protein that recruits E2 enzymes (59-61). PDLIM2 facilitates RelA degradation by joining a CRL complex containing Cullin 1 and S-phase kinase-associated protein 1 (Skp1). siRNA screening identified F-box protein 16 (Fbxo16) as the substrate receptor responsible for recognizing p65/RelA. Fbxo16 binds RelA, and along with PDLIM2 in the CRL complex, promotes its polyubiquitination and proteasomal degradation, thereby suppressing NF-κB-dependent transcription (62). In addition to functioning as an E3 ligase, PDLIM2 acts as an E5 ubiquitin ligase enhancer within Skp1-Cullin-F-box (SCF) complexes. In this context, PDLIM2 stabilizes regulator of Cullins 1 (ROC1), the RING finger subunit of SCF ubiquitin ligases, and promotes the nuclear translocation of the SCF β-transducin repeat containing protein (β-TrCP) complex. By facilitating the association of ROC1 with β-TrCP, PDLIM2 enhances the ubiquitination of nuclear p65/RelA, leading to efficient proteasomal degradation. Knockdown of ROC1, Cullin 1, or β-TrCP markedly disrupts PDLIM2-mediated RelA ubiquitination, which confirms that PDLIM2 cooperates with canonical SCF components to promote NF-κB termination (63). Through these adaptor and stabilizing functions, PDLIM2 provides substrate engagement and structural support for the assembly of functional ubiquitin ligase complexes.
Despite the growing number of mechanistic studies, a definitive hierarchy or strict sequential prioritization has not been established among the monomeric, heterodimeric, and CRL-dependent models of PDLIM2-mediated RelA degradation. Instead, these mechanisms may function in a complementary or partially overlapping manner, which likely depends on the availability of interacting cofactors. Tanaka et al (55) established the intrinsic ability of PDLIM2 to terminate NF-κB signaling through RelA ubiquitination and nuclear degradation, thereby establishing the monomeric model as the foundational mechanism. Subsequent studies progressively expanded on this model by demonstrating that PDLIM2 cooperates with accessory E3 ligases, such as MKRN2 and PDLIM7, which indicates that heterodimeric mechanisms likely enhance substrate specificity, ubiquitination efficiency, or degradative routing under inflammatory conditions (56,57). Recent evidence suggests that PDLIM2 functions within canonical Cullin-RING ubiquitin ligase machinery, including SCF complexes containing Fbxo16, ROC1, and β-TrCP, in which PDLIM2 acts not only as a substrate adaptor, but also as an E5-like ligase enhancer that stabilizes CRL assembly (62,63). Thus, the monomeric mechanism represents the core intrinsic activity of PDLIM2, whereas heterodimeric and CRL-associated mechanisms represent additional regulatory layers that increase the efficiency, selectivity, and versatility of RelA degradation.
PDLIM2 exhibits functionally divergent roles among various cancer types, acting either as a tumor suppressor or a tumor promoter through distinct patterns of expression, subcellular localization, and downstream signaling regulation (Table I). In breast cancer, it has a bidirectional role. PDLIM2 is frequently epigenetically repressed and functions predominantly as a tumor suppressor by restraining NF-κB signaling and limiting malignant transformation (64). By contrast, in triple-negative breast cancer (TNBC) and advanced metastatic disease, it has been shown to be highly expressed and aberrantly localized to the cytoplasm, where it promotes epithelial-mesenchymal transition (EMT), enhances cell survival, and facilitates invasion and metastasis (65). Similarly, PDLIM2 may have an oncogenic role in prostate and kidney cancers. It was revealed to be highly expressed in human castration-resistant prostate cancer (CRPC)-like cell lines. Its downregulated expression was reported to reduce cell proliferation and viability due to apoptotic cell death. In addition, PDLIM2 inhibition was revealed to significantly reduce tumor growth in a human CRPC xenograft model (66). In metastatic kidney cancer cell lines and cancer tissues, PDLIM2 expression was observed to be upregulated. Inhibition of PDLIM2 reduced cell proliferation and cell migration abilities of metastatic kidney cancer cells. PDLIM2 knockdown significantly reduced tumor growth and metastasis in a human kidney cancer xenograft model (67). Conversely, a tumor-suppressive role for PDLIM2 has been observed in multiple cancers. Reduced PDLIM2 expression occured in colorectal cancer cells and metastatic cancer. PDLIM2 suppressed tumor growth in a colorectal cancer animal model (68,69). PDLIM2 has been shown to be downregulated in hepatocellular carcinoma tissues and cells. Reduced expression of PDLIM2 was demonstrated to be associated with worse prognosis in patients with HCC. Ectopic expression of this protein was shown to inhibit the proliferation, invasion, and EMT of HCC cells and suppress the tumorigenesis and progression of HCC (70,71). PDLIM2 downregulation in ovarian cancer was demonstrated to be associated with malignant behavior of ovarian cancer cells, inflammatory tumor microenvironment remodeling, and poor clinical outcomes (72,73). Tumor-suppressive functions of PDLIM2 have also been reported in esophageal squamous cell carcinoma, Kaposi sarcoma, and lymphoid malignancies, where its loss was associated with enhanced inflammatory signaling, increased proliferation, and resistance to apoptosis (74-76). Analysis of RNA-sequencing data of multiple cancer types in The Cancer Genome Atlas (TCGA) revealed that PDLIM2 is more highly expressed in a few cancer types, but clearly repressed in most tumors (77). Of all cancer types examined to date, lung cancer represents one of the most consistent and well-supported examples of the tumor-suppressive role of PDLIM2 (78-81).
Although these findings show that PDLIM2 can function as either a tumor suppressor or a tumor promoter, the mechanisms underlying these opposing effects remain incompletely understood. Current evidence suggests that the biological outcome of PDLIM2 activity is likely to be context dependent. As a scaffold/adaptor protein involved in ubiquitin-mediated protein turnover and signaling regulation, PDLIM2 may exert distinct functions depending on the repertoire of interacting proteins, available substrates, and dominant signaling pathways present in different cancer types. In lung, colorectal, hepatocellular, Kaposi, and hematological malignancies, PDLIM2 was shown to suppress tumor progression by inhibiting pro-tumorigenic inflammatory signaling pathways, primarily through the proteolytic degradation of nuclear NF-κB and STAT proteins. Consequently, PDLIM2 was demonstrated to reduce oncogenic cellular processes, enhance immune surveillance, and maintain mitochondrial metabolic homeostasis (Table I) (68-71,75-81). By contrast, elevated PDLIM2 expression has been associated with enhanced cell survival, EMT, invasion, and metastatic potential in TNBC and CRPC through regulation of β-catenin- and MAPK/ERK-dependent signaling pathways (65,66). In addition, cancer type-specific subcellular localization and differential interactions with binding partners may redirect PDLIM2 toward distinct signaling pathways, thereby shifting its net biological effect from tumor suppression to tumor promotion. This concept is illustrated by the aberrant cytoplasmic and membrane localization of PDLIM2 in TNBC cells, where it regulates β-catenin activity (65). Such context-dependent behavior is commonly observed among ubiquitin-regulatory proteins and E3 ligase-associated factors, including HECT, UBA and WWE domain-containing E3 ubiquitin protein ligase 1, neural precursor cell expressed developementally downregulated protein 4-like, speckle-type BTB/POZ protein, tripartite motif containing (TRIM)8, and ubiquitin-specific peptidase 11, whose tumor-suppressive or oncogenic functions are likewise dependent on cancer type and cellular context (82-86). However, the precise molecular mechanisms governing these dual functions remain poorly understood. Further studies are required to identify the molecular determinants that govern the switch between the tumor-suppressive and tumor-promoting functions of PDLIM2.
Evidence from large-scale genomic analyses, patient-derived tumor specimens, and experimental models indicates that PDLIM2 is markedly downregulated in lung cancer, which highlights its particular relevance to pulmonary tumorigenesis. Analysis of the EMBL-EBI Expression Atlas revealed low PDLIM2 expression in 212 of 287 human lung cancer cell lines. These results were corroborated by studies of patient-derived tumor samples. At the mRNA level, PDLIM2 expression was reduced to <40% of matched normal lung tissue in 28 of 36 cases (~78%). At the protein level, immunoblotting and immunohistochemical analyses revealed decreased PDLIM2 expression in 51 of 69 lung tumor specimens (~74%) (78). Consistently, analysis of TCGA lung cancer cohort indicated significantly lower PDLIM2 expression in tumor tissues compared with that in normal lung tissues. Using matched normal samples as controls, PDLIM2 mRNA was reduced to <40% of normal expression in over 75% of tumors. When a 50% cut-off threshold was applied, repression was observed in ~94% of the cases, which suggests that PDLIM2 downregulation is a near-universal molecular feature of human lung cancer (79). Notably, PDLIM2 repression occurs across the major histological subtypes of non-small cell lung cancer (NSCLC). An analysis of the ENCORI Pan-Cancer Analysis Platform revealed significantly reduced PDLIM2 expression in lung adenocarcinoma and lung squamous cell carcinoma compared with normal lung tissue. These results were validated experimentally, as NSCLC cell lines consistently exhibited lower PDLIM2 mRNA and protein levels compared with non-transformed lung epithelial cells (80).
In addition to its prevalence, PDLIM2 downregulation has strong clinical and prognostic significance. Survival analyses integrating data from TCGA, the Gene Expression Omnibus (GEO), the European Genome-phenome Archive, and the Kaplan-Meier Plotter have consistently demonstrated that low PDLIM2 expression is associated with significantly worse overall survival, progression-free survival, first progression, and post-progression survival in patients with lung cancer. These associations were independently validated using lung cancer tissue microarrays and previously published gene expression datasets (78,79,81). Furthermore, an analysis of the UALCAN database revealed that PDLIM2 expression was significantly reduced across all clinical stages of lung cancer, from stage I to IV, compared with normal lung tissue. Consistently, analyses of TissueScan lung cancer cDNA arrays revealed the progressive downregulation of PDLIM2 expression from early-stage to advanced-stage tumors (81). These results suggest that PDLIM2 loss contributes to lung tumor initiation and progression rather than representing a late-stage event.
Large-scale public databases, such as TCGA, ENCORI, UALCAN, and GEO, provide valuable resources for evaluating the expression patterns and clinical significance of target molecules; however, findings derived from these databases should be interpreted with appropriate caution. Several limitations must be considered when interpreting these data. Potential sources of bias include differences in patient demographics and clinical characteristics, unequal sample sizes among cohorts, and batch effects associated with different sequencing platforms and experimental protocols. Nevertheless, despite these inherent limitations, analyses across multiple independent databases have consistently demonstrated significant downregulation of PDLIM2 in lung cancer. Notably, evidence supporting PDLIM2 downregulation is not limited to bioinformatic analyses. In vivo genetic research has provided additional support for these observations. Mice with heterozygous or homozygous deletion of Pdlim2 were shown to spontaneously develop tumors, with lung tumors representing the most prevalent tumor type. Notably, Pdlim2 heterozygous mice developed tumors at frequencies comparable to those observed in homozygous knockout animals, indicating that PDLIM2 functions as a haploinsufficient tumor suppressor (79). The consistency of findings across multiple independent datasets, together with experimental validation in patient-derived tumor specimens, lung cancer cell lines, and animal models, strongly supports the conclusion that PDLIM2 downregulation is a common, biologically relevant, and clinically significant feature of lung cancer.
The frequent and profound downregulation of PDLIM2 observed in lung cancer raises important questions regarding the molecular mechanisms responsible for its suppression. Accumulating evidence indicates that PDLIM2 silencing in lung cancer is mediated by a combination of genetic, epigenetic, transcriptional, and post-transcriptional mechanisms (Fig. 3). At the genetic level, loss of heterozygosity at chromosome 8p21-p21.3, the genomic locus harboring the PDLIM2 gene, represents a key mechanism that contributes to reduced PDLIM2 expression. This chromosomal region is frequently deleted in lung cancer and is recognized as a hotspot for tumor suppressor gene loss (30,87-94). Copy number variation analyses from TCGA cohorts revealed that partial or complete deletion of the PDLIM2 locus occurs in a substantial proportion of lung tumors and is strongly associated with decreased PDLIM2 mRNA expression. Notably, because PDLIM2 functions as a haploinsufficient tumor suppressor, even monoallelic loss is sufficient to markedly impair its tumor-suppressive activity, thereby rendering lung epithelial cells more susceptible to oncogenic transformation (79). Epigenetic silencing represents another major mechanism underlying PDLIM2 repression in lung cancer as well as other cancers. Aberrant DNA methylation of CpG islands within the PDLIM2 promoter region has been consistently detected in lung tumor tissues and lung cancer cell lines. Promoter hypermethylation is associated with transcriptional silencing and reduced PDLIM2 mRNA expression. Moreover, repressive histone modifications, including increased trimethylation of histone H3 at lysine 27 (H3K27me3) and reduced histone acetylation, maintain a closed chromatin configuration at the PDLIM2 locus, thereby reinforcing transcriptional repression (64,68,72,78).
Chronic oxidative stress is a hallmark of lung carcinogenesis, particularly in the context of exposure to environmental carcinogens, such as tobacco smoke and persistent inflammation (95-98). PDLIM2 expression in lung epithelial cells and alveolar macrophages is downregulated by the reactive oxygen species (ROS)-activated transcriptional repressor BTB and CNC homology 1 (BACH1). In alveolar macrophages, increased ROS levels activate BACH1, which subsequently binds to the PDLIM2 promoter and suppresses its transcription. Chromatin immunoprecipitation assays have revealed BACH1 occupancy at a defined binding site upstream of the PDLIM2 transcription start site under oxidative stress conditions. BACH1 recruitment was shown to be inversely correlated with RNA polymerase II engagement at the PDLIM2 promoter, which supports a direct role for oxidative stress-induced BACH1 in transcriptional repression. Moreover, pharmacological inhibition of ROS was demonstrated to attenuate PDLIM2 suppression in macrophages exposed to tumor cell-derived stress, which further supports a mechanistic link between oxidative signaling and transcriptional downregulation of PDLIM2 (99).
Post-transcriptional mechanisms, particularly those mediated by non-coding RNAs, may also contribute to PDLIM2 downregulation in lung cancer. The 3′-untranslated region (3′-UTR) of PDLIM2 contains predicted binding sites for miR-221 and miR-222. In colorectal cancer cells, these microRNAs were shown to directly bind to the PDLIM2 3′-UTR, leading to reduced mRNA stability and altered RelA ubiquitination (100). Although the full repertoire of PDLIM2-targeting microRNAs in lung cancer remains to be defined, miR-221 and miR-222 are highly expressed in lung cancer (101-103). These results suggest that microRNA-mediated repression may constitute an additional regulatory layer that fine-tunes PDLIM2 expression and function in lung cancer cells.
Although these mechanisms contribute to PDLIM2 downregulation, current studies have not defined the relative contribution or hierarchical importance of each pathway during lung tumorigenesis. These regulatory mechanisms operate at distinct levels of gene expression control. Additional studies integrating genomic, epigenomic, transcriptomic, and functional analyses will be required to clarify how these distinct regulatory layers interact and which mechanisms predominate during different stages or subtypes of lung cancer.
PDLIM2 exerts multifaceted tumor-suppressive functions in lung cancer by regulating key ubiquitination, immunological, and metabolic processes that collectively restrain malignant progression (Fig. 4). Among its well-characterized tumor-suppressive activities, PDLIM2 negatively regulates the transcription factors NF-κB and STAT3 through ubiquitination and proteasomal degradation (31,32,54-58). NF-κB and STAT3 function as oncogenic hubs in cancers. They drive malignancy and contribute directly to therapeutic resistance. These pathways are activated by inflammatory cytokines, including TNF-α and IL-1β for NF-κB and IL-6 family cytokines for STAT3, as well as by oncogenic kinases in lung epithelial and stromal cells (104-108). Following activation, NF-κB and STAT3 translocate to the nucleus and induce transcriptional programs that promote cell-cycle progression via cyclin D1 (CCND1), inhibit apoptosis by upregulating anti-apoptotic genes, such as BCL2 and BCL2 like 1 (BCL2L1), and support angiogenic and metastatic processes mediated by VEGF, matrix metalloproteinases, and C-X-C chemokine ligand 8 (CXCL8). Constitutive NF-κB activation in lung tumors is sustained by chronic inflammation, tobacco-associated injury, and oncogenic KRAS mutations, whereas persistent STAT3 activation is frequently maintained through IL-6/Janus kinase (JAK) signaling loops. NF-κB and STAT3 further engage in cooperative crosstalk, forming a self-sustaining oncogenic circuit that amplifies inflammatory and survival signaling (109-111). Loss of PDLIM2 disrupts the suppression of these pathways, leading to sustained nuclear accumulation of RelA/p65 and STAT3, enhanced expression of growth and survival genes, and increased tumorigenesis. In preclinical models, lung epithelial-specific deletion of RelA or STAT3 was shown to attenuate tumor development driven by PDLIM2 loss, which indicates that unchecked NF-κB/STAT3 signaling is a principal mediator of the oncogenic consequences of PDLIM2 repression. PDLIM2 deficiency was also demonstrated to promote chemoresistance through RelA-dependent upregulation of multidrug resistance protein 1 (MDR1), a mediator of multidrug resistance, thus enhancing drug efflux and suppressing apoptosis in response to cytotoxic drug treatment. Consistently, enforced PDLIM2 expression was revealed to enhance the sensitivity of lung cancer cells to chemotherapeutic agents, such as carboplatin and paclitaxel (78,79). In addition to PDLIM2, several E3 ubiquitin ligases that regulate NF-κB and/or STAT3 pathways have also been identified as tumor suppressors. Among these, suppressor of cytokine signaling (SOCS)1 and SOCS3 are well-characterized negative regulators of inflammatory and oncogenic signaling. Through their SOCS-box-dependent E3 ubiquitin ligase activity, SOCS proteins promote ubiquitination-mediated suppression of JAK/STAT signaling while also restraining NF-κB activation. Loss or epigenetic silencing of SOCS1 and SOCS3 has been reported in multiple malignancies and is associated with enhanced proliferation, survival, and tumor progression (112-117). Additionally, the E3 ligases copper metabolism domain containing 1, STIP1 homology and U-box containing protein 1, TRIM7, TRIM21, TRIM22, and Kelch-like ECH-associated protein 1 (KEAP1) were shown to exhibit tumor-suppressive functions through inhibition of NF-κB- and/or STAT3-dependent oncogenic signaling networks (118-126). These findings support the concept that ubiquitination-dependent negative regulation of NF-κB and STAT3 signaling by tumor-suppressive E3 ligases represents an important mechanism for maintaining cellular homeostasis and preventing malignant transformation.
PDLIM2 also plays an important role in shaping antitumor immunity by regulating the adaptive and innate immune responses within the lung tumor microenvironment. In lung cancer cells, suppression of NF-κB and STAT3 signaling by PDLIM2 was revealed to enhance the expression of MHC class I molecules and antigen presentation-related genes, thereby improving tumor recognition by cytotoxic T lymphocytes and sensitizing tumors to immune checkpoint blockade. Conversely, STAT3 activation downstream of PDLIM2 loss was reported to suppress MHC class I expression, promote immune evasion, and decrease the response to anti-PD-1 and anti-PD-L1 therapies. Consistent with these results, epigenetic restoration or ectopic expression of PDLIM2 was demonstrated to synergize with PD-1 blockade to elicit robust antitumor immune responses and tumor regression in preclinical models (78,99,127). Beyond its tumor cell-intrinsic functions, PDLIM2 functions as an immune checkpoint in alveolar macrophages and monocytes, which are frontline sentinels that maintain immune and tissue homeostasis in the lung. PDLIM2 downregulation in alveolar macrophages was shown to result in constitutive STAT3 activation, reduced phagocytic capacity, and polarization toward a protumorigenic phenotype that suppresses cytotoxic T-cell activity and facilitates immune evasion. This process was accompanied by enhanced recruitment and differentiation of monocytes into tumor-associated macrophages, which further repressed innate and adaptive antitumor immunity. Mechanistically, PDLIM2 expression in myeloid cells was demonstrated to be suppressed by ROS-activated BACH1. This pathway may be amplified by high levels of tumor-derived ROS, thereby coordinately repressing PDLIM2 in tumor cells and tumor-associated immune cells. Restoration of PDLIM2 was reported to reverse these immunosuppressive programs, enhance antigen presentation, restore immune surveillance, and improve the response to immune checkpoint blockade (99).
In addition to its established role in terminating oncogenic transcription factor signaling and immunological regulation, PDLIM2 may regulate mitochondrial metabolism and cellular adaptation to hypoxic stress in lung cancer (81). Metabolic reprogramming is a hallmark of cancer, and lung tumors display marked alterations in mitochondrial metabolic function, including dysregulated oxidative phosphorylation, rewiring of the tricarboxylic acid (TCA) cycle, and increased production of ROS (128-131). These metabolic changes not only support the biosynthetic and energetic demands of rapidly proliferating tumor cells, but also shape the tumor microenvironment by promoting inflammation, angiogenesis, and immune evasion. Thus, mitochondria function as signaling hubs that integrate metabolic status with oncogenic and inflammatory pathways, and disruption of mitochondrial homeostasis is a driver of lung cancer initiation and progression (132-135). PDLIM2 loss in lung cancer cells was shown to disrupt mitochondrial metabolism by selectively suppressing the expression of genes involved in the TCA cycle, with a particularly strong effect on the succinate dehydrogenase (SDH) complex (81). SDH occupies a unique position at the interface between the TCA cycle and the mitochondrial electron transport chain (complex II). Its integrity is essential for maintaining efficient oxidative metabolism and redox balance. Mutations in SDH complex genes have been linked to various cancer types (136-139). PDLIM2 downregulation was revealed to inhibit SDH expression at the mRNA and protein level, resulting in defective mitochondrial respiration, reduced oxygen consumption, altered mitochondrial dynamics, and increased mitochondrial fission. These abnormalities were demonstrated to be accompanied by the accumulation of mitochondrial ROS (mtROS) and the accumulation of oncometabolites, such as succinate, fumarate, and 2-hydroxyglutarate, reflecting a blockade of normal TCA cycle flux. Notably, the suppression of SDH gene expression in PDLIM2-deficient cells was shown to be driven, in part, by increased NF-κB activity, which is consistent with previous studies showing that inflammatory signaling can epigenetically repress SDH subunits through NF-κB-dependent mechanisms (81,140-142). The accumulation of succinate and mtROS in PDLIM2-deficient lung cancer cells was reported to also affect hypoxia signaling. Succinate functions as a prototypical oncometabolite that inhibits prolyl hydroxylase domain (PHD) enzymes, thereby preventing the hydroxylation and proteasomal degradation of hypoxia-inducible factor-1α (HIF-1α). Elevated ROS production further enhances HIF-1α stability and transcriptional activity by inhibiting PHD expression and promoting HIF-1α gene transcription. As a result, the loss of PDLIM2 leads to robust stabilization and activation of HIF-1α, even under non-hypoxic conditions. Consistently, an analysis of TCGA datasets and human lung cancer specimens revealed increased HIF-1α expression across all stages of disease and a strong inverse correlation between PDLIM2 and HIF-1α expression (81).
Activated HIF-1α has been shown to induce the expression of genes that promote inflammation, angiogenesis, and glycolysis (143-147). These findings suggest a model in which downregulation of PDLIM2 promotes lung tumor progression by establishing an interconnected feed-forward network (Fig. 4). Loss of PDLIM2 results in the persistent activation of NF-κB and STAT3, which not only drives inflammatory and pro-survival transcriptional programs, but also rewires antitumor immunity and mitochondrial function. Mitochondrial dysfunction subsequently enhances the accumulation of mtROS and oncometabolites, such as succinate, leading to the stabilization and activation of HIF-1α. In turn, HIF-1α further amplifies glycolytic metabolism, inflammatory cytokine production, angiogenesis, and oxidative stress, which reinforces NF-κB and STAT3 signaling through cytokine-mediated mechanisms. Increased ROS production may suppress PDLIM2 expression through activation of the BACH1 pathway, further sustaining the suppression of PDLIM2 and its function in antitumor immunity. Thus, PDLIM2 functions as a molecular brake that restrains reciprocal crosstalk among inflammatory signaling, mitochondrial dysfunction, oxidative stress, and hypoxia adaptation. Disruption of this regulatory axis establishes a self-reinforcing feed-forward loop that drives tumor growth, immune evasion, metabolic adaptation, therapeutic resistance, and malignant progression in lung cancer.
In addition to the PDLIM2-regulated SDH pathway, several other mitochondrial metabolic pathways play critical roles in regulating tumor growth, metastasis, and therapeutic resistance. These include pathways involving isocitrate dehydrogenase (IDH1/IDH2), glutaminolysis, fatty acid oxidation (FAO), glycolytic flux and anabolic metabolism. Mutant IDH enzymes generate the oncometabolite R-2-hydroxyglutarate, which competitively inhibits α-ketoglutarate-dependent dioxygenases, leading to widespread DNA and histone hypermethylation, impaired cellular differentiation, and tumorigenesis in gliomas and acute myeloid leukemia (148). In numerous cancers, tumor cells become highly dependent on the mitochondrial enzyme glutaminase, which converts glutamine to glutamate for entry into the TCA cycle, thereby replenishing carbon and nitrogen pools required for rapid macromolecular biosynthesis and tumor survival (149). Likewise, highly active FAO provides tumor cells with ATP and NADPH, enabling them to maintain energy homeostasis, counteract oxidative stress, and survive during chemotherapy or nutrient deprivation (150). In addition, activation of the oncogenic PI3K/AKT/mTOR pathway promotes glycolytic flux and anabolic metabolism, whereas dysregulation of the KEAP1/nuclear facotr erythroid 2-related factor 2 axis facilitates antioxidant adaptation and metabolic remodeling in cancer (151,152). Furthermore, E3 ubiquitin ligases such as Parkin, mitochondrial E3 ubiquitin protein ligase 1, F-box and WD repeat domain containing 7, and von-Hippel-Lindau tumor suppressor have been shown to suppress malignant progression through regulation of mitochondrial quality control, oxidative phosphorylation, metabolic homeostasis, ROS balance, and hypoxia adaptation (153-160). These observations indicate that multiple metabolic pathways converge on common biological processes that collectively contribute to tumor progression. Nevertheless, compared with these metabolic regulators, PDLIM2 appears distinctive because it occupies a strategic position at the intersection of ubiquitin-mediated inflammatory signaling, antitumor immunity, and mitochondrial metabolism through the coordinated regulation of NF-κB, STAT3, SDH expression, ROS production, and HIF-1α activation. Consequently, PDLIM2 may function as an integrative regulator that links inflammatory signaling with metabolic adaptation during lung cancer progression. Further studies are required to determine the relative contribution of the PDLIM2-SDH axis compared with other mitochondrial metabolic pathways in lung cancer.
PDLIM2 represents an attractive therapeutic target and biomarker for lung cancer management. From a translational perspective, restoration of PDLIM2 function may constitute a promising therapeutic strategy. However, the druggability of PDLIM2 remains a significant challenge. Unlike kinases or cell-surface receptors that possess well-defined catalytic or ligand-binding domains amenable to pharmacological intervention, PDLIM2 primarily functions as a scaffold/adaptor protein and regulator of ubiquitin-mediated protein turnover. Consequently, direct targeting of PDLIM2 by conventional small-molecule agonists may be difficult. Current therapeutic strategies are therefore more likely to focus on restoring PDLIM2 expression, reversing upstream silencing mechanisms, enhancing its functional activity, or targeting downstream pathways dysregulated by PDLIM2 deficiency.
Epigenetic repression is considered a major mechanism underlying PDLIM2 silencing in multiple cancers, including lung, breast, ovarian, and colon cancers (64,68,72,78). DNA hypermethylation and chromatin-associated repression suppress endogenous PDLIM2 expression, suggesting that pharmacological reversal using DNA methyltransferase inhibitors (DNMTis), histone deacetylase inhibitors (HDACis), or next-generation epigenetic modulators may restore PDLIM2 expression and its tumor-suppressive activity. In fact, research using agents such as 5-aza-2′-deoxycytidine have demonstrated reactivation of PDLIM2 expression and suppression of the malignant phenotype in preclinical models (78). Nevertheless, the clinical application of epigenetic therapies faces important limitations. DNMTis and HDACis exert broad genome-wide effects and may alter the expression of numerous genes unrelated to PDLIM2, potentially resulting in off-target biological effects, toxicity, and unpredictable transcriptional responses. Furthermore, the extent of PDLIM2 reactivation may vary among tumors owing to differences in epigenetic landscapes and the coexistence of additional regulatory mechanisms. Therefore, although epigenetic therapies represent a promising approach to restore PDLIM2 expression, their specificity and long-term therapeutic benefit require further investigation.
Nanotechnology-based gene-delivery systems have emerged as an innovative therapeutic approach. Systemic administration of PDLIM2 expression plasmids encapsulated within nanoparticles (nanoPDLIM2) has demonstrated antitumor efficacy, high tumor specificity, and minimal systemic toxicity in refractory lung cancer models. Notably, nanoPDLIM2 not only suppresses tumor growth directly, but also enhances the response to conventional treatments. Preclinical studies have shown that restoration of PDLIM2 sensitizes tumors to chemotherapy and prevents the activation of NF-κB signaling, which contributes to acquired drug resistance. Furthermore, PDLIM2 restoration was demonstrated to markedly enhance responsiveness to immune checkpoint blockade. Combination therapy involving PDLIM2 reactivation and anti-PD-1/PD-L1 treatment was revealed to convert immunologically 'cold' tumors into 'hot' tumors, characterized by increased T-cell infiltration and improved antitumor immune activity, thus markedly improving therapeutic efficacy (79,127). Despite these encouraging findings, several translational challenges remain. Efficient and selective delivery of PDLIM2 expression constructs to tumor tissues while minimizing uptake by normal organs remains difficult. Nanoparticle- and gene-based delivery systems may encounter barriers related to biodistribution, tumor penetration, intracellular trafficking, transgene expression efficiency, immune rejection, and the durability of therapeutic expression. Regulatory approval and long-term safety evaluation also represent important obstacles that must be addressed before PDLIM2 restoration strategies can be translated into clinical practice.
Targeting downstream pathways associated with PDLIM2 deficiency may provide additional therapeutic opportunities. PDLIM2 loss promotes mitochondrial dysfunction, excessive ROS production, and the accumulation of oncometabolites that activate HIF-1α signaling, collectively driving metabolic adaptation and tumor progression under hypoxic conditions. Consequently, HIF-1α inhibitors represent an indirect strategy to counteract the oncogenic consequences of PDLIM2 downregulation. The HIF-1α inhibitor PX-478 can suppress tumor progression associated with PDLIM2 deficiency, suggesting that targeting hypoxia-related pathways may complement PDLIM2 restoration therapies (81). Other HIF-1α inhibitors, including LBH589, SCH6636, 2ME2, and vorinostat, have been evaluated in clinical studies for cancer therapy (161,162). Nevertheless, the clinical translation of HIF-1α-targeted therapies remains challenging due to the pleiotropic physiological functions of HIF-1α, the complexity of hypoxia-regulated signaling networks, and the potential emergence of compensatory resistance mechanisms. Therefore, improved biomarkers and more selective therapeutic approaches will be required to maximize their clinical benefit in PDLIM2-deficient cancers.
PDLIM2 may also serve as a valuable biomarker for lung cancer diagnosis, prognosis, and therapeutic stratification as its downregulation has been observed across multiple histological subtypes and clinical stages of lung cancer, and reduced PDLIM2 expression is strongly associated with poor clinical outcomes. Furthermore, because PDLIM2 deficiency is linked to increased HIF-1α signaling and altered responsiveness to chemotherapy and immune checkpoint blockade, assessment of PDLIM2 expression may help identify patients who are most likely to benefit from specific targeted therapies or combination treatment strategies. Nevertheless, large-scale multicenter studies incorporating standardized analytical methodologies, comprehensive clinical annotation, and integrated multi-omics approaches will be required to establish the diagnostic, prognostic, and predictive value of PDLIM2 in lung cancer. Overall, continued elucidation of the molecular mechanisms regulating PDLIM2 expression and function, together with advances in biomarker development, gene-delivery technologies, and targeted therapeutic approaches, may ultimately facilitate the translation of PDLIM2-based strategies into clinical practice for lung cancer management.
PDLIM2 is a central regulator of lung cancer suppression through its coordinated control of the ubiquitination-dependent degradation of oncogenic transcription factors, antitumor immunity, and mitochondrial metabolism. The loss of PDLIM2 contributes to persistent activation of NF-κB and STAT3 signaling, immune evasion, metabolic reprogramming, ROS accumulation, and HIF-1α activation, which promotes tumor progression. The frequent and early downregulation of PDLIM2 in lung cancer, together with its strong association with poor clinical outcomes, highlights its importance as a biomarker and therapeutic target.
The restoration of PDLIM2 through epigenetic reactivation, nanoparticle-mediated delivery, or combination regimens with chemotherapy and immune checkpoint blockade has shown promise in preclinical studies. Moreover, targeting downstream metabolic, oxidative, and hypoxia-related pathways associated with PDLIM2 deficiency represents a complementary therapeutic approach. Nevertheless, significant challenges remain, including the complexity of PDLIM2 regulatory mechanisms, tumor heterogeneity, dataset limitations, and the distinct biological functions of PDLIM2 across different cancer types.
Overall, continued studies into the molecular regulation and functions of PDLIM2 will provide insight into lung cancer pathogenesis and therapeutic resistance. A deeper understanding of PDLIM2-centered signaling networks will facilitate the development of novel therapeutic strategies that improve clinical outcomes for lung cancer patients.
Not applicable.
THC, JHG, and CYL conceived and supervised the study. JXY, JCT, and HJW contributed equally to literature collection, review, interpretation, and writing the first draft of the manuscript and preparing the figures. THC, JHG, and CYL finalized the manuscript. All authors have read and approved the final manuscript. Data authentication is not applicable.
Not applicable.
Not applicable.
The authors declare that they have no competing interests.
Not applicable.
This work was supported by grants from the National Science and Technology Council of Taiwan, China Medical University Hospital, and Asia University (grant nos. NSTC 114-2314-B-303-025, ASIA-111-CMUH-04, and ASIA-114-CMUH-05).
|
Thai AA, Solomon BJ, Sequist LV, Gainor JF and Heist RS: Lung cancer. Lancet. 398:535–554. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Vallone S, Beunders I and Szmytke E: Lung cancer patient needs in different countries. Lung Cancer Manag. 6:1–4. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Polanski J, Jankowska-Polanska B, Rosinczuk J, Chabowski M and Szymanska-Chabowska A: Quality of life of patients with lung cancer. Onco Targets Ther. 9:1023–1028. 2016.PubMed/NCBI | |
|
Wood DE, Kazerooni EA, Baum SL, Eapen GA, Ettinger DS, Hou L, Jackman DM, Klippenstein D, Kumar R, Lackner RP, et al: Lung cancer screening, version 3.2018, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw. 16:412–441. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Miyasaka Y, Sato H, Okano N, Kubo N, Kawamura H and Ohno T: A promising treatment strategy for lung cancer: A combination of radiotherapy and immunotherapy. Cancers (Basel). 14:2032021. View Article : Google Scholar | |
|
Tang FH, Wong HYT, Tsang PSW, Yau M, Tam SY, Law L, Yau K and Wong J, Farah FHM and Wong J: Recent advancements in lung cancer research: A narrative review. Transl Lung Cancer Res. 14:975–990. 2025. View Article : Google Scholar : PubMed/NCBI | |
|
Ibodeng GO, Uche IN, Mokua R, Galo M, Odigwe B, Galeas JN and Dasgupta S: A snapshot of lung cancer: Where are we now?-A narrative review. Ann Transl Med. 11:2612023. View Article : Google Scholar : PubMed/NCBI | |
|
Larsen JE and Minna JD: Molecular biology of lung cancer: Clinical implications. Clin Chest Med. 32:703–740. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
Mohiuddin M: Anti-PD-1/PD-L1 immunotherapy as a potential treatment option for lung cancer: A perspective analysis of opportunities and challenges. Health Sci Rep. 9:e717492026. View Article : Google Scholar : PubMed/NCBI | |
|
Wang X, Lamberti G, Di Federico A, Alessi J, Ferrara R, Sholl ML, Awad MM, Vokes N and Ricciuti B: Tumor mutational burden for the prediction of PD-(L)1 blockade efficacy in cancer: Challenges and opportunities. Ann Oncol. 35:508–522. 2024. View Article : Google Scholar : PubMed/NCBI | |
|
Cheng W, Kang K, Zhao A and Wu Y: Dual blockade immunotherapy targeting PD-1/PD-L1 and CTLA-4 in lung cancer. J Hematol Oncol. 17:542024. View Article : Google Scholar : PubMed/NCBI | |
|
Sui H, Ma N, Wang Y, Li H, Liu X, Su Y and Yang J: Anti-PD-1/PD-L1 therapy for non-small-cell lung cancer: Toward personalized medicine and combination strategies. J Immunol Res. 2018:69849482018. View Article : Google Scholar : PubMed/NCBI | |
|
Liu L, Yang L, Li H, Shang T and Liu L: The tumor microenvironment in lung cancer: Heterogeneity, therapeutic resistance and emerging treatment strategies (Review). Int J Oncol. 68:112026. | |
|
Deng Z, Ma X, Zou S, Tan L and Miao T: Innovative technologies and their clinical prospects for early lung cancer screening. Clin Exp Med. 25:2122025. View Article : Google Scholar : PubMed/NCBI | |
|
Seijo LM, Peled N, Ajona D, Boeri M, Field JK, Sozzi G, Pio R, Zulueta JJ, Spira A, Massion PP, et al: Biomarkers in lung cancer screening: Achievements, promises, and challenges. J Thorac Oncol. 14:343–357. 2019. View Article : Google Scholar | |
|
Shi Y, Fan T, Yang Y, Liu J, Ouyang J and Dai J: Beyond structural domains: The emerging roles of PDLIM2 in cellular signaling and cancer progression. Front Physiol. 16:15692852025. View Article : Google Scholar : PubMed/NCBI | |
|
Guo ZS and Qu Z: PDLIM2: Signaling pathways and functions in cancer suppression and host immunity. Biochim Biophys Acta Rev Cancer. 1876:1886302021. View Article : Google Scholar : PubMed/NCBI | |
|
Fisher LAB and Schöck F: The unexpected versatility of ALP/Enigma family proteins. Front Cell Dev Biol. 10:9636082022. View Article : Google Scholar : PubMed/NCBI | |
|
Healy MD and Collins BM: The PDLIM family of actin-associated proteins and their emerging role in membrane trafficking. Biochem Soc Trans. 51:2005–2016. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Jiang X, Xu Z, Jiang S, Wang H, Xiao M, Shi Y and Wang K: PDZ and LIM domain-encoding genes: Their role in cancer development. Cancers (Basel). 15:50422023. View Article : Google Scholar : PubMed/NCBI | |
|
Christensen NR, Čalyševa J, Fernandes EFA, Lüchow S, Clemmensen LS, Haugaard-Kedström LM and Strømgaard K: PDZ domains as drug targets. Adv Ther (Weinh). 2:18001432019. View Article : Google Scholar | |
|
Lee HJ and Zheng JJ: PDZ domains and their binding partners: Structure, specificity, and modification. Cell Commun Signal. 8:82010. View Article : Google Scholar : PubMed/NCBI | |
|
Liu X and Fuentes EJ: Emerging themes in PDZ domain signaling: Structure, function, and inhibition. Int Rev Cell Mol Biol. 343:129–218. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Ye F and Zhang M: Structures and target recognition modes of PDZ domains: Recurring themes and emerging pictures. Biochem J. 455:1–14. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Sala S and Oakes PW: LIM domain proteins. Curr Biol. 33:R339–R341. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Kadrmas JL and Beckerle MC: The LIM domain: From the cytoskeleton to the nucleus. Nat Rev Mol Cell Biol. 5:920–931. 2004. View Article : Google Scholar : PubMed/NCBI | |
|
Zheng Q and Zhao Y: The diverse biofunctions of LIM domain proteins: Determined by subcellular localization and protein-protein interaction. Biol Cell. 99:489–502. 2007. View Article : Google Scholar : PubMed/NCBI | |
|
Matthews JM and Sunde M: Zinc fingers-folds for many occasions. IUBMB Life. 54:351–355. 2002. View Article : Google Scholar | |
|
Torrado M, Senatorov VV, Trivedi R, Fariss RN and Tomarev SI: Pdlim2, a novel PDZ-LIM domain protein, interacts with alpha-actinins and filamin A. Invest Ophthalmol Vis Sci. 45:3955–3963. 2004. View Article : Google Scholar : PubMed/NCBI | |
|
Loughran G, Healy NC, Kiely PA, Huigsloot M, Kedersha NL and O'Connor R: Mystique is a new insulin-like growth factor-I-regulated PDZ-LIM domain protein that promotes cell attachment and migration and suppresses Anchorage-independent growth. Mol Biol Cell. 16:1811–1822. 2005. View Article : Google Scholar : PubMed/NCBI | |
|
Tanaka T, Soriano MA and Grusby MJ: SLIM is a nuclear ubiquitin E3 ligase that negatively regulates STAT signaling. Immunity. 22:729–736. 2005. View Article : Google Scholar : PubMed/NCBI | |
|
Ungureanu D and Silvennoinen O: SLIM trims STATs: Ubiquitin E3 ligases provide insights for specificity in the regulation of cytokine signaling. Sci STKE. 2005:pe492005. View Article : Google Scholar : PubMed/NCBI | |
|
Hershko A and Ciechanover A: The ubiquitin system. Annu Rev Biochem. 67:425–479. 1998. View Article : Google Scholar : PubMed/NCBI | |
|
Komander D and Rape M: The ubiquitin code. Annu Rev Biochem. 81:203–229. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Lee JS, Kim HY, Kwon YT, Ji CH, Lee SJ and Kim SB: The ubiquitin code in disease pathogenesis and progression: Composition, characteristics and its potential as a therapeutic target. Discov Med. 37:203–221. 2025. View Article : Google Scholar : PubMed/NCBI | |
|
Hochstrasser M: Ubiquitin-dependent protein degradation. Annu Rev Genet. 30:405–439. 1996. View Article : Google Scholar : PubMed/NCBI | |
|
Ziv I, Matiuhin Y, Kirkpatrick DS, Erpapazoglou Z, Leon S, Pantazopoulou M, Kim W, Gygi SP, Haguenauer-Tsapis R, Reis N, et al: A perturbed ubiquitin landscape distinguishes between ubiquitin in trafficking and in proteolysis. Mol Cell Proteomics. 10:M111.0097532011. View Article : Google Scholar : PubMed/NCBI | |
|
Koo SY, Park EJ, Noh HJ, Jo SM, Ko BK, Shin HJ and Lee CW: Ubiquitination links DNA damage and repair signaling to cancer metabolism. Int J Mol Sci. 24:84412023. View Article : Google Scholar : PubMed/NCBI | |
|
Bhoj VG and Chen ZJ: Ubiquitylation in innate and adaptive immunity. Nature. 458:430–437. 2009. View Article : Google Scholar : PubMed/NCBI | |
|
Zou T and Lin Z: The involvement of ubiquitination machinery in cell cycle regulation and cancer progression. Int J Mol Sci. 22:57542021. View Article : Google Scholar : PubMed/NCBI | |
|
Shaid S, Brandts CH, Serve H and Dikic I: Ubiquitination and selective autophagy. Cell Death Differ. 20:21–30. 2013. View Article : Google Scholar | |
|
Hicke L: A new ticket for entry into budding vesicles-ubiquitin. Cell. 106:527–530. 2001. View Article : Google Scholar : PubMed/NCBI | |
|
Sheng X, Xia Z, Yang H and Hu R: The ubiquitin codes in cellular stress responses. Protein Cell. 15:157–190. 2024. View Article : Google Scholar : | |
|
Bedford L, Lowe J, Dick LR, Mayer RJ and Brownell JE: Ubiquitin-like protein conjugation and the ubiquitin-proteasome system as drug targets. Nat Rev Drug Discov. 10:29–46. 2011. View Article : Google Scholar | |
|
Damgaard RB: The ubiquitin system: From cell signalling to disease biology and new therapeutic opportunities. Cell Death Differ. 28:423–426. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Yang X, Lan T, Zhang B, Tao X, Qi W, Xie K, Cai Y, Liu C, Han J and Wu H: Targeting ubiquitination in disease and therapy. Signal Transduct Target Ther. 10:4242025. View Article : Google Scholar : PubMed/NCBI | |
|
Toma-Fukai S and Shimizu T: Structural diversity of ubiquitin E3 ligase. Molecules. 26:66822021. View Article : Google Scholar : PubMed/NCBI | |
|
Wang H, Peng J, Li H, Lan Y, Guo J, Qiu Q and Huang X: E3 ubiquitin ligases: Structures, biological functions, diseases, and therapy. MedComm (2020). 6:e705282025. View Article : Google Scholar : PubMed/NCBI | |
|
Uchida C and Kitagawa M: RING-, HECT-, and RBR-type E3 ubiquitin ligases: Involvement in human cancer. Curr Cancer Drug Targets. 16:157–174. 2016. View Article : Google Scholar | |
|
Yang Q, Zhao J, Chen D and Wang Y: E3 ubiquitin ligases: Styles, structures and functions. Mol Biomed. 2:232021. View Article : Google Scholar : | |
|
Antoniou N, Lagopati N, Balourdas DI, Nikolaou M, Papalampros A, Vasileiou PVS, Myrianthopoulos V, Kotsinas A, Shiloh Y, Liontos M and Gorgoulis VG: The role of E3, E4 ubiquitin ligase (UBE4B) in human pathologies. Cancers (Basel). 12:622019. View Article : Google Scholar : PubMed/NCBI | |
|
Hoppe T: Multiubiquitylation by E4 enzymes: 'one size' doesn't fit all. Trends Biochem Sci. 30:183–187. 2005. View Article : Google Scholar : PubMed/NCBI | |
|
Koegl M, Hoppe T, Schlenker S, Ulrich HD, Mayer TU and Jentsch S: A novel ubiquitination factor, E4, is involved in multiubiquitin chain assembly. Cell. 96:635–644. 1999. View Article : Google Scholar : PubMed/NCBI | |
|
Matthews JM, Bhati M, Lehtomaki E, Mansfield RE, Cubeddu L and Mackay JP: It takes two to tango: The structure and function of LIM, RING, PHD and MYND domains. Curr Pharm Des. 15:3681–3696. 2009. View Article : Google Scholar : PubMed/NCBI | |
|
Tanaka T, Grusby MJ and Kaisho T: PDLIM2-mediated termination of transcription factor NF-kappaB activation by intranuclear sequestration and degradation of the p65 subunit. Nat Immunol. 8:584–591. 2007. View Article : Google Scholar : PubMed/NCBI | |
|
Shin C, Ito Y, Ichikawa S, Tokunaga M, Sakata-Sogawa K and Tanaka T: MKRN2 is a novel ubiquitin E3 ligase for the p65 subunit of NF-κB and negatively regulates inflammatory responses. Sci Rep. 7:460972017. View Article : Google Scholar | |
|
Jodo A, Shibazaki A, Onuma A, Kaisho T and Tanaka T: PDLIM7 synergizes with PDLIM2 and p62/Sqstm1 to inhibit inflammatory signaling by promoting degradation of the p65 subunit of NF-κB. Front Immunol. 11:15592020. View Article : Google Scholar | |
|
Lu J, Zhang J, Jiang H, Hu Z, Zhang Y, He L, Yang J, Xie Y, Wu D, Li H, et al: Vangl2 suppresses NF-κB signaling and ameliorates sepsis by targeting p65 for NDP52-mediated autophagic degradation. Elife. 12:RP879352024. View Article : Google Scholar | |
|
Nguyen HC, Wang W and Xiong Y: Cullin-RING E3 ubiquitin ligases: Bridges to destruction. Subcell Biochem. 83:323–347. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Lydeard JR, Schulman BA and Harper JW: Building and remodelling Cullin-RING E3 ubiquitin ligases. EMBO Rep. 14:1050–1061. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Duda DM, Scott DC, Calabrese MF, Zimmerman ES, Zheng N and Schulman BA: Structural regulation of cullin-RING ubiquitin ligase complexes. Curr Opin Struct Biol. 21:257–264. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
Sugimoto-Ishige A, Jodo A and Tanaka T: Fbxo16 mediates degradation of NF-κB p65 subunit and inhibits inflammatory response in dendritic cells. Front Immunol. 16:15241102025. View Article : Google Scholar | |
|
Sun F, Xiao G and Qu Z: PDLIM2 is a novel E5 ubiquitin ligase enhancer that stabilizes ROC1 and recruits the ROC1-SCF ubiquitin ligase to ubiquitinate and degrade NF-κB RelA. Cell Biosci. 14:992024. View Article : Google Scholar | |
|
Qu Z, Fu J, Yan P, Hu J, Cheng SY and Xiao G: Epigenetic repression of PDZ-LIM domain-containing protein 2: Implications for the biology and treatment of breast cancer. J Biol Chem. 285:11786–11792. 2010. View Article : Google Scholar : PubMed/NCBI | |
|
Cox OT, Edmunds SJ, Simon-Keller K, Li B, Moran B, Buckley NE, Bustamante-Garrido M, Healy N, O'Flanagan CH, Gallagher WM, et al: PDLIM2 is a marker of adhesion and β-catenin activity in triple-negative breast cancer. Cancer Res. 79:2619–2633. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Kang M, Lee KH, Lee HS, Park YH, Jeong CW, Ku JH, Kim HH and Kwak C: PDLIM2 suppression efficiently reduces tumor growth and invasiveness of human castration-resistant prostate cancer-like cells. Prostate. 76:273–285. 2016. View Article : Google Scholar | |
|
Yuk HD, Lee KH, Lee HS, Jeong SH, Kho Y, Jeong CW, Kim HH, Ku JH and Kwak C: PDLIM2 suppression inhibit proliferation and metastasis in kidney cancer. Cancers (Basel). 13:29912021. View Article : Google Scholar : PubMed/NCBI | |
|
Qu Z, Yan P, Fu J, Jiang J, Grusby MJ, Smithgall TE and Xiao G: DNA methylation-dependent repression of PDZ-LIM domain-containing protein 2 in colon cancer and its role as a potential therapeutic target. Cancer Res. 70:1766–1772. 2010. View Article : Google Scholar : PubMed/NCBI | |
|
Oh BY, Cho J, Hong HK, Bae JS, Park WY, Joung JG and Cho YB: Exome and transcriptome sequencing identifies loss of PDLIM2 in metastatic colorectal cancers. Cancer Manag Res. 9:581–589. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Jiang X, Chu Z, Cao Y, Tang Y, Shi Y and Shi X: PDLIM2 prevents the malignant phenotype of hepatocellular carcinoma cells by negatively regulating β-catenin. Cancer Gene Ther. 28:1113–1124. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang X, Shan W, Hu Q, Wu K, Ji M, Wang X, Liu Z, Zhang B, Shi H and Cao K: PDLIM2 deficiency mediated by PBXIP1 promotes the proliferation of HCC cells through reducing the polyubiquitination and degradation of TRIM27. Eur J Med Res. 30:12082025. View Article : Google Scholar : PubMed/NCBI | |
|
Zhao L, Yu C, Zhou S, Lau WB, Lau B, Luo Z, Lin Q, Yang H, Xuan Y, Yi T, et al: Epigenetic repression of PDZ-LIM domain-containing protein 2 promotes ovarian cancer via NOS2-derived nitric oxide signaling. Oncotarget. 7:1408–1420. 2016. View Article : Google Scholar : | |
|
Lv W, Guo H, Wang J, Ma R, Niu L and Shang Y: PDLIM2 can inactivate the TGF-β/Smad pathway to inhibit the malignant behavior of ovarian cancer cells. Cell Biochem Funct. 41:542–552. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang Z, Shang B, Mao X, Shi Y, Zhang G and Wang D: Prognostic risk models using epithelial cells identify β-sitosterol as a potential therapeutic target against esophageal squamous cell carcinoma. Int J Gen Med. 17:1193–1211. 2024. View Article : Google Scholar | |
|
Sun F, Xiao Y and Qu Z: Oncovirus Kaposi sarcoma herpesvirus (KSHV) represses tumor suppressor PDLIM2 to persistently activate nuclear factor κB (NF-κB) and STAT3 transcription factors for tumorigenesis and tumor maintenance. J Biol Chem. 290:7362–7368. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Wurster KD, Hummel F, Richter J, Giefing M, Hartmann S, Hansmann ML, Kreher S, Köchert K, Krappmann D, Klapper W, et al: Inactivation of the putative ubiquitin-E3 ligase PDLIM2 in classical Hodgkin and anaplastic large cell lymphoma. Leukemia. 31:602–613. 2017. View Article : Google Scholar : | |
|
Zeng Y, Lin D, Gao M, Du G and Cai Y: Systematic evaluation of the prognostic and immunological role of PDLIM2 across 33 cancer types. Sci Rep. 12:19332022. View Article : Google Scholar : PubMed/NCBI | |
|
Sun F, Li L, Yan P, Zhou J, Shapiro SD, Xiao G and Qu Z: Causative role of PDLIM2 epigenetic repression in lung cancer and therapeutic resistance. Nat Commun. 10:53242019. View Article : Google Scholar : PubMed/NCBI | |
|
Sun F, Yan P, Xiao Y, Zhang H, Shapiro SD, Xiao G and Qu Z: Improving PD-1 blockade plus chemotherapy for complete remission of lung cancer by nanoPDLIM2. Elife. 12:RP896382024. View Article : Google Scholar : PubMed/NCBI | |
|
Shi H, Ji Y, Li W, Zhong Y and Ming Z: PDLIM2 acts as a cancer suppressor gene in non-small cell lung cancer via the down regulation of NF-κB signaling. Mol Cell Probes. 53:1016282020. View Article : Google Scholar | |
|
Yang JX, Chuang YC, Tseng JC, Liu YL, Lai CY, Lee AY, Huang CF, Hong YR and Chuang TH: Tumor promoting effect of PDLIM2 downregulation involves mitochondrial ROS, oncometabolite accumulations and HIF-1α activation. J Exp Clin Cancer Res. 43:1692024. View Article : Google Scholar | |
|
Gong X, Du D, Deng Y, Zhou Y, Sun L and Yuan S: The structure and regulation of the E3 ubiquitin ligase HUWE1 and its biological functions in cancer. Invest New Drugs. 38:515–524. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang M, Zhang Z, Tian X, Zhang E, Wang Y, Tang J and Zhao J: NEDD4L in human tumors: Regulatory mechanisms and dual effects on anti-tumor and pro-tumor. Front Pharmacol. 14:12917732023. View Article : Google Scholar : PubMed/NCBI | |
|
Yang X, Zhu J, Tao X, Gao F, Cai Y, Lv Y, Xie S, Xie K, Lan T, Han J and Wu H: Challenges and opportunities for the diverse substrates of SPOP E3 ubiquitin ligase in cancer. Theranostics. 15:6111–6145. 2025. View Article : Google Scholar : PubMed/NCBI | |
|
Esposito JE, De Iuliis V, Avolio F, Liberatoscioli E, Pulcini R, Di Francesco S, Pennelli A, Martinotti S and Toniato E: Dissecting the functional role of the TRIM8 protein on cancer pathogenesis. Cancers (Basel). 14:23092022. View Article : Google Scholar : PubMed/NCBI | |
|
Guo T, Tang H, Yuan Z, Zhang E and Wang X: The dual role of USP11 in cancer. J Oncol. 2022:99639052022. View Article : Google Scholar : PubMed/NCBI | |
|
Wistuba II, Behrens C, Virmani AK, Milchgrub S, Syed S, Lam S, Mackay B, Minna JD and Gazdar AF: Allelic losses at chromosome 8p21-23 are early and frequent events in the pathogenesis of lung cancer. Cancer Res. 59:1973–1979. 1999.PubMed/NCBI | |
|
Kurimoto F, Gemma A, Hosoya Y, Seike M, Takenaka K, Uematsu K, Yoshimura A, Shibuya M and Kudoh S: Unchanged frequency of loss of heterozygosity and size of the deleted region at 8p21-23 during metastasis of lung cancer. Int J Mol Med. 8:89–93. 2001.PubMed/NCBI | |
|
Kang J: Genomic alterations on 8p21-p23 are the most frequent genetic events in stage I squamous cell carcinoma of the lung. Exp Ther Med. 9:345–350. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Macartney-Coxson DP, Hood KA, Shi HJ, Ward T, Wiles A, O'Connor R, Hall DA, Lea RA, Royds JA, Stubbs RS and Rooker S: Metastatic susceptibility locus, an 8p hot-spot for tumour progression disrupted in colorectal liver metastases: 13 candidate genes examined at the DNA, mRNA and protein level. BMC Cancer. 8:1872008. View Article : Google Scholar : PubMed/NCBI | |
|
Bhattacharya N, Chunder N, Basu D, Roy A, Mandal S, Majumder J, Roychowdhury S and Panda CK: Three discrete areas within the chromosomal 8p21.3-23 region are associated with the development of breast carcinoma of Indian patients. Exp Mol Pathol. 76:264–271. 2004. View Article : Google Scholar : PubMed/NCBI | |
|
Hosseini HA, Ahani A, Galehdari H, Froughmand AM, Hosseini M, Masjedizadeh A and Zali MR: Frequent loss of heterozygosity at 8p22 chromosomal region in diffuse type of gastric cancer. World J Gastroenterol. 13:3354–3358. 2007. View Article : Google Scholar : PubMed/NCBI | |
|
Thiagalingam S, Foy RL, Cheng KH, Lee HJ, Thiagalingam A and Ponte JF: Loss of heterozygosity as a predictor to map tumor suppressor genes in cancer: Molecular basis of its occurrence. Curr Opin Oncol. 14:65–72. 2002. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang X and Sjöblom T: Targeting loss of heterozygosity: A novel paradigm for cancer therapy. Pharmaceuticals (Basel). 14:572021. View Article : Google Scholar : PubMed/NCBI | |
|
Lee E and Hong JH: Oxidative stress defense module in lung cancers: Molecular pathways and therapeutic approaches. Antioxidants (Basel). 14:8572025. View Article : Google Scholar : PubMed/NCBI | |
|
Valavanidis A, Vlachogianni T, Fiotakis K and Loridas S: Pulmonary oxidative stress, inflammation and cancer: Respirable particulate matter, fibrous dusts and ozone as major causes of lung carcinogenesis through reactive oxygen species mechanisms. Int J Environ Res Public Health. 10:3886–3907. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Goldkorn T, Filosto S and Chung S: Lung injury and lung cancer caused by cigarette smoke-induced oxidative stress: Molecular mechanisms and therapeutic opportunities involving the ceramide-generating machinery and epidermal growth factor receptor. Antioxid Redox Signal. 21:2149–2174. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Caliri AW, Tommasi S and Besaratinia A: Relationships among smoking, oxidative stress, inflammation, macromolecular damage, and cancer. Mutat Res Rev Mutat Res. 787:1083652021. View Article : Google Scholar : PubMed/NCBI | |
|
Li L, Sun F, Han L, Liu X, Xiao Y, Gregory AD, Shapiro SD, Xiao G and Qu Z: PDLIM2 repression by ROS in alveolar macrophages promotes lung tumorigenesis. JCI Insight. 6:e1443942021. View Article : Google Scholar : PubMed/NCBI | |
|
Liu S, Sun X, Wang M, Hou Y, Zhan Y, Jiang Y, Liu Z, Cao X, Chen P, Liu Z, et al: A microRNA 221- and 222-mediated feedback loop maintains constitutive activation of NFκB and STAT3 in colorectal cancer cells. Gastroenterology. 147:847–859.e11. 2014. View Article : Google Scholar | |
|
Oltulu YM, Coskunpinar E, Yildiz P, Aynaci E, Karimova A and Yaylim I: Investigation of miR221 and miR222 as biomarkers in non-small cell lung cancer. In Vivo. 37:1603–1608. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Tepebasi MY and Öztürk Ö: miR-21, miR-221, and miR-222 upregulation in lung cancer promotes metastasis by reducing oxidative stress and apoptosis. Rev Assoc Med Bras (1992). 69:e202216882023. View Article : Google Scholar : PubMed/NCBI | |
|
Brighenti M: MicroRNA and MET in lung cancer. Ann Transl Med. 3:682015.PubMed/NCBI | |
|
Godwin P, Baird AM, Heavey S, Barr MP, O'Byrne KJ and Gately K: Targeting nuclear factor-kappa B to overcome resistance to chemotherapy. Front Oncol. 3:1202013. View Article : Google Scholar : PubMed/NCBI | |
|
Lukas K, Nguyen J, Necas C, Dave K and Venketaraman V: Targeting the NF-κB pathway in cancer: Mechanisms, resistance, and therapeutic potential across tumor types. Pharmaceuticals (Basel). 18:17642025. View Article : Google Scholar | |
|
Godugu D, Chilamakuri R and Agarwal S: STAT3 axis in cancer and cancer stem cells: From oncogenesis to targeted therapies. Biochim Biophys Acta Rev Cancer. 1880:1894612025. View Article : Google Scholar : PubMed/NCBI | |
|
Bollrath J and Greten FR: IKK/NF-kappaB and STAT3 pathways: Central signalling hubs in inflammation-mediated tumour promotion and metastasis. EMBO Rep. 10:1314–1319. 2009. View Article : Google Scholar : PubMed/NCBI | |
|
Grivennikov SI and Karin M: Dangerous liaisons: STAT3 and NF-kappaB collaboration and crosstalk in cancer. Cytokine Growth Factor Rev. 21:11–19. 2010. View Article : Google Scholar | |
|
Lee H, Herrmann A, Deng JH, Kujawski M, Niu G, Li Z, Forman S, Jove R, Pardoll DM and Yu H: Persistently activated Stat3 maintains constitutive NF-kappaB activity in tumors. Cancer Cell. 15:283–293. 2009. View Article : Google Scholar : PubMed/NCBI | |
|
Squarize CH, Castilho RM, Sriuranpong V, Pinto DS Jr and Gutkind JS: Molecular cross-talk between the NFkappaB and STAT3 signaling pathways in head and neck squamous cell carcinoma. Neoplasia. 8:733–746. 2006. View Article : Google Scholar : PubMed/NCBI | |
|
Fan Y, Mao R and Yang J: NF-κB and STAT3 signaling pathways collaboratively link inflammation to cancer. Protein Cell. 4:176–185. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Morelli M, Madonna S and Albanesi C: SOCS1 and SOCS3 as key checkpoint molecules in the immune responses associated to skin inflammation and malignant transformation. Front Immunol. 15:13937992024. View Article : Google Scholar : PubMed/NCBI | |
|
Jiang M, Zhang WW, Liu P, Yu W, Liu T and Yu J: Dysregulation of SOCS-mediated negative feedback of cytokine signaling in carcinogenesis and its significance in cancer treatment. Front Immunol. 8:702017. View Article : Google Scholar : PubMed/NCBI | |
|
Khan MGM, Ghosh A, Variya B, Santharam MA, Ihsan AU, Ramanathan S and Ilangumaran S: Prognostic significance of SOCS1 and SOCS3 tumor suppressors and oncogenic signaling pathway genes in hepatocellular carcinoma. BMC Cancer. 20:7742020. View Article : Google Scholar : PubMed/NCBI | |
|
Jafarzadeh A, Zandvakili R, Jafarzadeh Z and Nemati M: Dysregulated expression of the suppressors of cytokine signaling (SOCS) contributes to the development of prostate cancer. Pathol Res Pract. 262:1555582024. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang Y, Chu M, Ye M, Yin Y and Chen H: SOCS3: An immunological biomarker offering potential therapeutic targets for malignant tumors. Biol Proced Online. 27:362025. View Article : Google Scholar : PubMed/NCBI | |
|
Dai L, Tao Y, Shi Z, Liang W, Hu W, Xing Z, Zhou S, Guo X, Fu X and Wang X: SOCS3 Acts as an onco-immunological biomarker with value in assessing the tumor microenvironment, pathological staging, histological subtypes, therapeutic effect, and prognoses of several types of cancer. Front Oncol. 12:8818012022. View Article : Google Scholar : PubMed/NCBI | |
|
Vallespi MG, Mestre B, Marrero MA, Uranga R, Rey D, Lugiollo M, Betancourt M, Silva K, Corrales D, Lamadrid Y, et al: A first-in-class, first-in-human, phase I trial of CIGB-552, a synthetic peptide targeting COMMD1 to inhibit the oncogenic activity of NF-κB in patients with advanced solid tumors. Int J Cancer. 149:1313–1321. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Weiskirchen R and Penning LC: COMMD1, a multi-potent intracellular protein involved in copper homeostasis, protein trafficking, inflammation, and cancer. J Trace Elem Med Biol. 65:1267122021. View Article : Google Scholar : PubMed/NCBI | |
|
Yeh DW, Chen YS, Lai CY, Liu YL, Lu CH, Lo JF, Chen L, Hsu LC, Luo Y, Xiang R and Chuang TH: Downregulation of COMMD1 by miR-205 promotes a positive feedback loop for amplifying inflammatory- and stemness-associated properties of cancer cells. Cell Death Differ. 23:841–852. 2016. View Article : Google Scholar : | |
|
Jin J, Lu Z, Wang X, Liu Y, Han T, Wang Y, Wang T, Gan M, Xie C, Wang J and Yu B: E3 ubiquitin ligase TRIM7 negatively regulates NF-kappa B signaling pathway by degrading p65 in lung cancer. Cell Signal. 69:1095432020. View Article : Google Scholar : PubMed/NCBI | |
|
Alomari M: TRIM21-A potential novel therapeutic target in cancer. Pharmacol Res. 165:1054432021. View Article : Google Scholar | |
|
Zhang L, Lin W, Liu J, Hong Y, Cao Z, Yu Z, Feng X and Gao Y: Ubiquitination-based classification and a prognostic signature identify the role of TRIM21 in sarcoma progression. Curr Med Chem. 33:3246–3271. 2026. | |
|
Yang Y, Hao X, Zhang J, Gao T, Huo M, Liu W, Hu T, Ma T, Yuan B, Zhang M, et al: The E3 ligase TRIM22 functions as a tumor suppressor in breast cancer by targeting CCS for proteasomal degradation to inhibit STAT3 signaling. Cancer Lett. 600:2171572024. View Article : Google Scholar : PubMed/NCBI | |
|
Lee DF, Kuo HP, Liu M, Chou CK, Xia W, Du Y, Shen J, Chen CT, Huo L, Hsu MC, et al: KEAP1 E3 ligase-mediated downregulation of NF-kappaB signaling by targeting IKKbeta. Mol Cell. 36:131–140. 2009. View Article : Google Scholar : PubMed/NCBI | |
|
Wang Y, Ren F, Wang Y, Feng Y, Wang D, Jia B, Qiu Y, Wang S, Yu J, Sung JJ, et al: CHIP/Stub1 functions as a tumor suppressor and represses NF-κB-mediated signaling in colorectal cancer. Carcinogenesis. 35:983–991. 2014. View Article : Google Scholar | |
|
Le TH, Sun F, Xiao G and Qu Z: NanoPDLIM2-based combination therapy for lung cancer treatment in mouse preclinical studies. Bio Protoc. 15:e54372025. View Article : Google Scholar : PubMed/NCBI | |
|
Ward PS and Thompson CB: Metabolic reprogramming: A cancer hallmark even warburg did not anticipate. Cancer Cell. 21:297–308. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Park WH: Mitochondrial reprogramming in lung cancer: A therapeutic vulnerability and a strategy for reversing drug resistance. J Pathol. 269:149–163. 2026. View Article : Google Scholar : PubMed/NCBI | |
|
Roberts ER and Thomas KJ: The role of mitochondria in the development and progression of lung cancer. Comput Struct Biotechnol J. 6:e2013030192013. View Article : Google Scholar : PubMed/NCBI | |
|
Parma B, Wurdak H and Ceppi P: Harnessing mitochondrial metabolism and drug resistance in non-small cell lung cancer and beyond by blocking heat-shock proteins. Drug Resist Updat. 65:1008882022. View Article : Google Scholar : PubMed/NCBI | |
|
Mao Y, Xia Z, Xia W and Jiang P: Metabolic reprogramming, sensing, and cancer therapy. Cell Rep. 43:1150642024. View Article : Google Scholar : PubMed/NCBI | |
|
Du H, Xu T, Yu S, Wu S and Zhang J: Mitochondrial metabolism and cancer therapeutic innovation. Signal Transduct Target Ther. 10:2452025. View Article : Google Scholar : PubMed/NCBI | |
|
Pandey S, Anang V and Schumacher MM: Mitochondria driven innate immune signaling and inflammation in cancer growth, immune evasion, and therapeutic resistance. Int Rev Cell Mol Biol. 386:223–247. 2024. View Article : Google Scholar : PubMed/NCBI | |
|
Liu H, Pan M, Li Y, Huang Z, Li H, Zhang C, Guo C and Wang H: Recent advances and applications of mitochondria in tumors and inflammation. J Transl Med. 23:7642025. View Article : Google Scholar : PubMed/NCBI | |
|
Cao K, Xu J, Cao W, Wang X, Lv W, Zeng M, Zou X, Liu J and Feng Z: Assembly of mitochondrial succinate dehydrogenase in human health and disease. Free Radic Biol Med. 207:247–259. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Wang J, Yuan T, Yang B, He Q and Zhu H: SDH defective cancers: Molecular mechanisms and treatment strategies. Cell Biol Toxicol. 41:742025. View Article : Google Scholar : PubMed/NCBI | |
|
Moosavi B, Zhu XL, Yang WC and Yang GF: Molecular pathogenesis of tumorigenesis caused by succinate dehydrogenase defect. Eur J Cell Biol. 99:1510572020. View Article : Google Scholar | |
|
Nazar E, Khatami F, Saffar H and Tavangar SM: The emerging role of succinate dehyrogenase genes (SDHx) in tumorigenesis. Int J Hematol Oncol Stem Cell Res. 13:72–82. 2019.PubMed/NCBI | |
|
Nisr RB, Shah DS, Ganley IG and Hundal HS: Proinflammatory NFkB signalling promotes mitochondrial dysfunction in skeletal muscle in response to cellular fuel overloading. Cell Mol Life Sci. 76:4887–4904. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Capece D, Verzella D, Flati I, Arboretto P, Cornice J and Franzoso G: NF-κB: blending metabolism, immunity, and inflammation. Trends Immunol. 43:757–775. 2022. View Article : Google Scholar : PubMed/NCBI | |
|
Mateska I, Witt A, Hagag E, Sinha A, Yilmaz C, Thanou E, Sun N, Kolliniati O, Patschin M, Abdelmegeed H, et al: Succinate mediates inflammation-induced adrenocortical dysfunction. Elife. 12:e830642023. View Article : Google Scholar : PubMed/NCBI | |
|
LaGory EL and Giaccia AJ: The ever-expanding role of HIF in tumour and stromal biology. Nat Cell Biol. 18:356–365. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Balamurugan K: HIF-1 at the crossroads of hypoxia, inflammation, and cancer. Int J Cancer. 138:1058–1066. 2016. View Article : Google Scholar | |
|
Acuña-Pilarte K and Koh MY: The HIF axes in cancer: Angiogenesis, metabolism, and immune-modulation. Trends Biochem Sci. 50:677–694. 2025. View Article : Google Scholar : PubMed/NCBI | |
|
Sun SY: Mechanisms of HIF-1α function in malignant cells and associated therapeutic strategies. J Biochem Mol Toxicol. 40:e707462026. View Article : Google Scholar | |
|
Fawzul Ameer S, Abdul Latif MSE and Ibrahim WN: Hypoxia and HIF signalling in tumour microenvironment: Linking immune evasion, metabolic rewiring and epigenetic regulation. Expert Rev Mol Med. 28:e142026. View Article : Google Scholar : PubMed/NCBI | |
|
Ivanov S, Nano O, Hana C, Bonano-Rios A and Hussein A: Molecular targeting of the isocitrate dehydrogenase pathway and the implications for cancer therapy. Int J Mol Sci. 25:73372024. View Article : Google Scholar : PubMed/NCBI | |
|
Anthony J, Varalakshmi S, Sekar AK, Devarajan N, Janakiraman B and Peramaiyan R: Glutaminase-A potential target for cancer treatment. Biomedicine (Taipei). 14:29–37. 2024. View Article : Google Scholar | |
|
Pakhira S, Kundu S and Roy SS: The role of fatty acid oxidation in metabolic crosstalk between tumor cells and associated factors in the microenvironment. Biochim Biophys Acta Rev Cancer. 1880:1894472025. View Article : Google Scholar : PubMed/NCBI | |
|
Yu M, Yang D, Chen X, Yang Y, Zhang B, Jiang X, Xing L, Yang Y, Sun Y and Li N: Metabolic reprogramming in cancer: Dysregulation of glucose, lipid, and amino acid pathways and therapeutic opportunities. Mol Biomed. 7:252026. View Article : Google Scholar : PubMed/NCBI | |
|
Fontana F, Giannitti G, Marchesi S and Limonta P: The PI3K/Akt pathway and glucose metabolism: A dangerous liaison in cancer. Int J Biol Sci. 20:3113–3125. 2024. View Article : Google Scholar : PubMed/NCBI | |
|
Sun X, Ye G, Mai Y, Shu Y, Wang L and Zhang J: Parkin exerts the tumor-suppressive effect through targeting mitochondria. Med Res Rev. 43:855–871. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Sun X, Ye G, Li J, Yuan L, Bai G, Xu YJ and Zhang J: The tumor suppressor Parkin exerts anticancer effects through regulating mitochondrial GAPDH activity. Oncogene. 43:3215–3226. 2024. View Article : Google Scholar : PubMed/NCBI | |
|
Eid N and Kondo Y: Parkin in cancer: Mitophagy-related/unrelated tasks. World J Hepatol. 9:349–351. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Di Gregorio J, Terreri S, Rossi M, Battafarano G, Di Giuseppe L, Pagliarosi O, Cilenti L, Ricevuto E, Zervos AS, Flati V and Del Fattore A: The tumor suppressor role of mitochondrial E3 ubiquitin ligase MUL1 in osteosarcoma. Biochim Biophys Acta Mol Cell Res. 1873:1201012026. View Article : Google Scholar | |
|
Calle X, Garrido-Moreno V, Lopez-Gallardo E, Norambuena-Soto I, Martinez D, Peñaloza-Otárola A, Troncossi A, Guerrero-Moncayo A, Ortega A, Maracaja-Coutinho V, et al: Mitochondrial E3 ubiquitin ligase 1 (MUL1) as a novel therapeutic target for diseases associated with mitochondrial dysfunction. IUBMB Life. 74:850–865. 2022. View Article : Google Scholar : PubMed/NCBI | |
|
Shimizu K, Nihira NT, Inuzuka H and Wei W: Physiological functions of FBW7 in cancer and metabolism. Cell Signal. 46:15–22. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Shen W, Zhou Q, Peng C, Li J, Yuan Q, Zhu H, Zhao M, Jiang X, Liu W and Ren C: FBXW7 and the Hallmarks of Cancer: Underlying Mechanisms and Prospective Strategies. Front Oncol. 12:8800772022. View Article : Google Scholar : PubMed/NCBI | |
|
Li G, Pan W, Wu L, Cai Z, Chen H, Wu X, Yu T, Liao K, Zhang H, Wen X and Li B: Mitochondrial VHL rewires cell metabolism in hypoxia. Cell Metab. 38:174–191.e7. 2026. View Article : Google Scholar | |
|
Lee K and Kim HM: A novel approach to cancer therapy using PX-478 as a HIF-1α inhibitor. Arch Pharm Res. 34:1583–1585. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
Bui BP, Nguyen PL, Lee K and Cho J: Hypoxia-inducible factor-1: A novel therapeutic target for the management of cancer, drug resistance, and cancer-related pain. Cancers (Basel). 14:60542022. View Article : Google Scholar : PubMed/NCBI |