{"title":"SCN3B is an Anti-breast Cancer Molecule with Migration Inhibition Effect.","authors":"Yinfeng Zhao, Jianzhong Ye, Yun Liang, Jia Chen","doi":"10.1007/s10528-025-11059-6","DOIUrl":null,"url":null,"abstract":"<p><p>Breast cancer is a prevalent and highly heterogeneous malignancy that continues to be a major global health concern. Voltage-gated sodium channels are primarily known for their role in neuronal excitability, but emerging evidence suggests their involvement in the pathogenesis of various cancers, including breast cancer. However, the effect of β-subunits on breast cancer cells is not yet studied. SCN3B, as a modulatory subunit, is of particular interest due to its less understood role in cancer biology. This research comprehensively investigates the clinical associations, diagnostic potential, and functional role of SCN3B in breast cancer, shedding light on its diverse implications from patient outcomes to molecular mechanisms. Our methods included clinical data analysis from The Cancer Genome Atlas (TCGA) breast cancer dataset, diagnostic analysis through ROC curves, differential gene expression analysis, SCN3B expression assessment in cell lines, overexpression experiments, and functional assays. Additionally, we constructed a protein-protein interaction network to explore potential mechanisms underlying SCN3B's impact. The study revealed significant clinical associations between SCN3B expression and various parameters such as tumor stage, race, age, histological type, molecular subtype, and hormone receptor status. SCN3B demonstrated strong diagnostic potential with an AUC of 0.95. It influenced the expression of over 800 genes, primarily associated with cell migration and extracellular matrix interactions. SCN3B exhibited distinct expression patterns between normal and breast cancer cell lines and successfully overexpressed in various breast cancer cell lines. This overexpression inhibited cell migration and invasion. Our research emphasizes SCN3B's clinical relevance, diagnostic potential, and influence on cell behavior in breast cancer, offering insights into its multifaceted role and therapeutic implications.</p>","PeriodicalId":482,"journal":{"name":"Biochemical Genetics","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochemical Genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s10528-025-11059-6","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Breast cancer is a prevalent and highly heterogeneous malignancy that continues to be a major global health concern. Voltage-gated sodium channels are primarily known for their role in neuronal excitability, but emerging evidence suggests their involvement in the pathogenesis of various cancers, including breast cancer. However, the effect of β-subunits on breast cancer cells is not yet studied. SCN3B, as a modulatory subunit, is of particular interest due to its less understood role in cancer biology. This research comprehensively investigates the clinical associations, diagnostic potential, and functional role of SCN3B in breast cancer, shedding light on its diverse implications from patient outcomes to molecular mechanisms. Our methods included clinical data analysis from The Cancer Genome Atlas (TCGA) breast cancer dataset, diagnostic analysis through ROC curves, differential gene expression analysis, SCN3B expression assessment in cell lines, overexpression experiments, and functional assays. Additionally, we constructed a protein-protein interaction network to explore potential mechanisms underlying SCN3B's impact. The study revealed significant clinical associations between SCN3B expression and various parameters such as tumor stage, race, age, histological type, molecular subtype, and hormone receptor status. SCN3B demonstrated strong diagnostic potential with an AUC of 0.95. It influenced the expression of over 800 genes, primarily associated with cell migration and extracellular matrix interactions. SCN3B exhibited distinct expression patterns between normal and breast cancer cell lines and successfully overexpressed in various breast cancer cell lines. This overexpression inhibited cell migration and invasion. Our research emphasizes SCN3B's clinical relevance, diagnostic potential, and influence on cell behavior in breast cancer, offering insights into its multifaceted role and therapeutic implications.
期刊介绍:
Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses.
Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication.
Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses.
Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods.
Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.