{"title":"Cross-cancer transcriptomic integration identifies a core immune-signaling network in hormone-driven malignancies.","authors":"Prasanna Kumar Selvam, Supraja Mohan, Karthick Vasudevan","doi":"10.1016/bs.apcsb.2026.04.002","DOIUrl":null,"url":null,"abstract":"<p><p>Hormone-dependent malignancies, including breast, ovarian, thyroid, and prostate cancers, are driven by dysregulated endocrine signaling but exhibit marked heterogeneity in molecular architecture and therapeutic response. Whether these cancers share conserved transcriptional programs that transcend tissue-of-origin remains incompletely understood. In this study, we applied a systematic, direction-aware transcriptomic framework to identify shared gene expression signatures across hormone-driven malignancies using RNA-sequencing data with matched non-malignant controls. Differential expression analysis was performed independently for each cancer type using DESeq2, identifying 15,648 significant differentially expressed genes (DEGs). Integration of DEGs across cancers using a presence-direction matrix revealed limited universal overlap, with only one gene shared across all four cancers. Leave-one-out sensitivity analysis demonstrated that prostate cancer exhibited reduced transcriptional concordance relative to other malignancies. Exclusion of prostate cancer resulted in the highest overlap and direction-consistent dysregulation, identifying 10,948 shared DEGs across breast, ovarian, and thyroid cancers, including 1043 genes with consistent regulatory direction. Restriction to genes common to all three retained cancers defined a core pan-hormone transcriptional signature comprising 270 genes. These genes were prioritized using a composite statistical score integrating mean absolute log2 fold change and Fisher-combined adjusted p-values across cancers. Functional enrichment analysis of the top 100 ranked genes using g:Profiler revealed significant enrichment of immune-related biological processes, cytokine signaling, membrane-associated signal transduction, and protein-protein interaction functions. Collectively, this study identifies a conserved immune-signaling-centric transcriptional program shared across breast, ovarian, and thyroid cancers.</p>","PeriodicalId":7376,"journal":{"name":"Advances in protein chemistry and structural biology","volume":"153 ","pages":"77-94"},"PeriodicalIF":0.0000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in protein chemistry and structural biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/bs.apcsb.2026.04.002","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/5/8 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0
Abstract
Hormone-dependent malignancies, including breast, ovarian, thyroid, and prostate cancers, are driven by dysregulated endocrine signaling but exhibit marked heterogeneity in molecular architecture and therapeutic response. Whether these cancers share conserved transcriptional programs that transcend tissue-of-origin remains incompletely understood. In this study, we applied a systematic, direction-aware transcriptomic framework to identify shared gene expression signatures across hormone-driven malignancies using RNA-sequencing data with matched non-malignant controls. Differential expression analysis was performed independently for each cancer type using DESeq2, identifying 15,648 significant differentially expressed genes (DEGs). Integration of DEGs across cancers using a presence-direction matrix revealed limited universal overlap, with only one gene shared across all four cancers. Leave-one-out sensitivity analysis demonstrated that prostate cancer exhibited reduced transcriptional concordance relative to other malignancies. Exclusion of prostate cancer resulted in the highest overlap and direction-consistent dysregulation, identifying 10,948 shared DEGs across breast, ovarian, and thyroid cancers, including 1043 genes with consistent regulatory direction. Restriction to genes common to all three retained cancers defined a core pan-hormone transcriptional signature comprising 270 genes. These genes were prioritized using a composite statistical score integrating mean absolute log2 fold change and Fisher-combined adjusted p-values across cancers. Functional enrichment analysis of the top 100 ranked genes using g:Profiler revealed significant enrichment of immune-related biological processes, cytokine signaling, membrane-associated signal transduction, and protein-protein interaction functions. Collectively, this study identifies a conserved immune-signaling-centric transcriptional program shared across breast, ovarian, and thyroid cancers.
期刊介绍:
Published continuously since 1944, The Advances in Protein Chemistry and Structural Biology series has been the essential resource for protein chemists. Each volume brings forth new information about protocols and analysis of proteins. Each thematically organized volume is guest edited by leading experts in a broad range of protein-related topics.