Ask about this productRelated genes to: SH3PXD2A antibody
- Gene:
- SH3PXD2A NIH gene
- Name:
- SH3 and PX domains 2A
- Previous symbol:
- SH3MD1
- Synonyms:
- FISH, KIAA0418
- Chromosome:
- 10q24.33
- Locus Type:
- gene with protein product
- Date approved:
- 2003-12-01
- Date modifiied:
- 2016-10-05
Related products to: SH3PXD2A antibody
Related articles to: SH3PXD2A antibody
- The lncRNA SH3PXD2A-AS1 drives therapy resistance in non-small cell lung cancer (NSCLC) through mA-mediated PD-L1 overexpression, representing a novel molecular toxicology paradigm. In the present work, the functional significance of SH3PXD2A-AS1 in orchestrating immune escape and malignant progression of NSCLC was systematically examined. Integrating TCGA analyses with cell and mouse studies, we found that SH3PXD2A-AS1 was elevated in NSCLC and associated with features of an immunosuppressive tumor microenvironment. Multi-omics profiling, RNA pull-down/RIP, and promoter-reporter assays revealed that SH3PXD2A-AS1 interacts with the transcription factor MYBL2 to drive transcriptional activation of WTAP, a core component of the mA writer complex. This axis enhanced mA modification of PD-L1 mRNA, stabilizing PD-L1 and dampening CD8 T-cell responses. Silencing SH3PXD2A-AS1 reduced MYBL2/WTAP/PD-L1 signaling, decreased malignant phenotypes in vitro, and restored antitumor T-cell activity in humanized mouse models, whereas enforced MYBL2 or WTAP expression counteracted these effects. Collectively, these findings define an lncRNA-transcription factor-epitranscriptomic checkpoint that sustains PD-L1-mediated immune escape in NSCLC, and nominate SH3PXD2A-AS1 and its MYBL2/WTAP partners as potential biomarkers and therapeutic targets to improve responses to immune checkpoint inhibition. - Source: PubMed
Wu SiyanChen JuanHan YuDong YuanShi HaiLiu PingchuangChen YunfengYuan JieqingCui Wenjie - Epigenetic alterations, particularly DNA methylation, play a crucial role in the progression of oral squamous cell carcinoma (OSCC) from oral leukoplakia (OL). However, the molecular mechanisms driving this transition remain poorly understood. Using interpretable machine learning (IML) on genome-wide methylation data from 118 samples (22 OL, 74 OSCC, and 22 controls), we identified 20 key CpG sites among 820 193 loci through SHAP (SHapley Additive exPlanations) analysis. Notably, cg19853638, cg25393842, cg01743793, and cg10784570 mapped to pivotal genes such as TNFRSF19, ALOX5, and SH3PXD2A, which regulate cell morphology, inflammatory pathways, and immune responses- critical processes influencing OSCC malignancy and progression. To assess generalizability and confirm the robustness of classifier, the predictive model was validated on an independent Taiwanese cohort (GSE38532) profiled on a different array platform, achieving 98.8% accuracy and ROC-AUC of 0.999 demonstrating robust cross-population performance. Furthermore, cross-omics integration with an independent transcriptomic dataset (GSE31056) identified eight genes, including ALOX5, FOXP1, and VTI1A, showing consistent methylation and expression patterns, underscoring their biological relevance. Our findings highlight the functional relevance of SH3PXD2A, TNFRSF19, and ALOX5 in OSCC pathophysiology: SH3PXD2A mediates cell migration and invasion, TNFRSF19 is involved in survival signaling, and ALOX5 regulates inflammatory responses. These multi-layered analyses provide novel insights into epigenetic mechanisms underlying OL to OSCC progression and highlight candidate biomarkers with strong translational potential. By combining IML based methylation modeling with external and cross-omics validation, this study advances the development of reliable, interpretable biomarkers for precision oral cancer diagnostics and management. - Source: PubMed
Yadav KhushiHasija Yasha - Podosomes and their cancer-specific counterparts, invadopodia, are pivotal organelles facilitating extracellular matrix (ECM) degradation and tumor invasion. However, the pan-cancer landscape and clinical implications of podosome-related genes (PRGs) remain largely unexplored. - Source: PubMed
Publication date: 2026/02/12
Xu DuogangHe YuleiZhao PengchengLiao ChangkangTan Jing - Cardiac conduction disorders (CCDs) represent a broad spectrum of severe cardiovascular conditions associated with syncope and sudden cardiac death. Therefore, identification of reliable biomarkers is necessary to significantly improve the diagnostic accuracy and therapeutic outcomes of CCDs. This study analyzed GWAS summary datasets using a genomic structural equation model (Genomic-SEM), fine mapping, linkage disequilibrium score regression (LDSC), and two-sample Mendelian randomization (TSMR) analyses to identify genetic loci and genes associated with CCDs. - Source: PubMed
Publication date: 2026/01/14
Wang TongyuMiao XingeXia Yunlong - High-grade serous ovarian carcinoma (HGSOC) accounts for 70% of all ovarian cancer cases and 80% of related deaths. TP53 mutations are common; however, other driving genetic factors are not well understood. In this study, we used RNA sequencing to explore the genetic background of HGSOC in patients with unclear profiles. - Source: PubMed
Publication date: 2025/09/29
Masago KatsuhiroSasaki EiichiFujita YasukoFujita ShiroHorio YoshitsuguKuroda HiroakiOgasawara AikoTatsuno KenjiAburatani HiroyukiOda KatsutoshiHasegawa KoseiMatsushita Hirokazu