Pub Date : 2026-02-11DOI: 10.1186/s12885-026-15631-0
Aruba Farooq, Evren M Akyuz, Brandon Wq Cheah, Suha Deen, Stewart G Martin, Mattéa J Finelli, Sarah Storr, Alan McIntyre
{"title":"Increased cytoplasmic and nuclear S100A6 expression is associated with improved prognosis in ovarian cancer.","authors":"Aruba Farooq, Evren M Akyuz, Brandon Wq Cheah, Suha Deen, Stewart G Martin, Mattéa J Finelli, Sarah Storr, Alan McIntyre","doi":"10.1186/s12885-026-15631-0","DOIUrl":"https://doi.org/10.1186/s12885-026-15631-0","url":null,"abstract":"","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146164199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-10DOI: 10.1186/s12885-026-15695-y
Sarah A Mayberry, Ping-Ching Hsu, Hui-Yi Lin, Lora J Rogers, Shelbie D Stahr, L Joseph Su
{"title":"Association of DNA methyltransferase polymorphisms with breast cancer: a nested case‒control study of the Arkansas Rural Community Health study.","authors":"Sarah A Mayberry, Ping-Ching Hsu, Hui-Yi Lin, Lora J Rogers, Shelbie D Stahr, L Joseph Su","doi":"10.1186/s12885-026-15695-y","DOIUrl":"https://doi.org/10.1186/s12885-026-15695-y","url":null,"abstract":"","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146149057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-10DOI: 10.1186/s12885-026-15675-2
Chengling Yu, Yong Wen, Yanguo Li, Baiyang Song, Yiwei Hu, Zixing Meng, Zejun Yan, Wei Du, Hao Rong
Background: Enhancer RNAs (eRNAs) have emerged as important regulators of gene expression and may reshape the therapeutic landscape of prostate cancer. However, their global landscape and clinical relevance in prostate cancer remain unclear.
Methods: We systematically integrated prostate cancer multi-omics and functional genomics datasets to characterize genome-wide eRNA transcription, construct eRNA-centered regulatory networks, and link eRNA-regulated genes to clinical outcomes. Representative eRNAs and their predicted target genes were further subjected to siRNA-mediated knockdown and functional validation in prostate cancer cell lines.
Results: We identified 13,595 eRNAs and 1,573 eRNA-regulated genes, including 266 transcription factors and 85 RNA-binding proteins. eRNA-regulated genes showed higher expression levels, lower variability, and enrichment in prostate cancer-related pathways. A five-gene eRNA-associated signature stratified patients into high- and low-risk groups with AUCs of 0.85, 0.77, and 0.89 for 1-, 3-, and 5-year survival and remained an independent prognostic factor. The two risk groups exhibited distinct genetic, transcriptomic, and epigenetic features. Functional validation further demonstrated that knockdown of representative eRNAs suppressed prostate cancer cell proliferation, migration, and invasion, accompanied by reduced expression of the target genes NUP93 and BICD1.
Conclusion: These findings indicate that eRNAs may contribute to prostate cancer biology and could serve as useful markers for prognosis and pathway characterization.
{"title":"Deciphering the eRNA landscape and revealing target aberrant pathways in prostate cancer.","authors":"Chengling Yu, Yong Wen, Yanguo Li, Baiyang Song, Yiwei Hu, Zixing Meng, Zejun Yan, Wei Du, Hao Rong","doi":"10.1186/s12885-026-15675-2","DOIUrl":"https://doi.org/10.1186/s12885-026-15675-2","url":null,"abstract":"<p><strong>Background: </strong>Enhancer RNAs (eRNAs) have emerged as important regulators of gene expression and may reshape the therapeutic landscape of prostate cancer. However, their global landscape and clinical relevance in prostate cancer remain unclear.</p><p><strong>Methods: </strong>We systematically integrated prostate cancer multi-omics and functional genomics datasets to characterize genome-wide eRNA transcription, construct eRNA-centered regulatory networks, and link eRNA-regulated genes to clinical outcomes. Representative eRNAs and their predicted target genes were further subjected to siRNA-mediated knockdown and functional validation in prostate cancer cell lines.</p><p><strong>Results: </strong>We identified 13,595 eRNAs and 1,573 eRNA-regulated genes, including 266 transcription factors and 85 RNA-binding proteins. eRNA-regulated genes showed higher expression levels, lower variability, and enrichment in prostate cancer-related pathways. A five-gene eRNA-associated signature stratified patients into high- and low-risk groups with AUCs of 0.85, 0.77, and 0.89 for 1-, 3-, and 5-year survival and remained an independent prognostic factor. The two risk groups exhibited distinct genetic, transcriptomic, and epigenetic features. Functional validation further demonstrated that knockdown of representative eRNAs suppressed prostate cancer cell proliferation, migration, and invasion, accompanied by reduced expression of the target genes NUP93 and BICD1.</p><p><strong>Conclusion: </strong>These findings indicate that eRNAs may contribute to prostate cancer biology and could serve as useful markers for prognosis and pathway characterization.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146155954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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