Akademik Veri Yönetim Sistemi
14. Ulusal Moleküler Biyoloji ve Biyoteknoloji Kongresi, 1 - 02 Kasım 2025, (Özet Bildiri)
Epithelial-to-mesenchymal transition (EMT) endows circulating tumor cells (CTCs) with increased metastasis and invasive capacities for distant colonization. Although EMT-related biomarkers have been explored in CTCs, analysis of EMT-associated non-coding RNAs (ncRNAs) across cancer types is still limited. In this study, integrative analyses were performed to identify EMT-associated long non-coding (lncRNAs) shared between CTCs and tumor tissues across multiple cancer types. EMT-associated lncRNAs were first identified using the dbEMT 2.0 database. Identified lncRNAs were evaluated for their expression in CTCs derived from seven cancer types using the ctcRbase database. Expression profiles in tissue samples were further examined across cancer types using the Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) datasets. A total of seven EMT-associated lncRNAs were identified. Among them, TUSC7 and MEG3 were characterized as tumor suppressors and NEAT1, HOTAIR, ZEB1-AS1, MALAT1 and UCA1 as oncogenic. Notably, NEAT1 and MALAT1 displayed consistent dysregulated expression profiles across all CTCs derived from breast, colorectal, pancreatic, liver, lung, prostate and melanoma. Furthermore, analysis of tumor tissue samples from 33 cancer types revealed that NEAT1 and MALAT1 were significantly dysregulated in 14 cancer types, with overlapping dysregulation observed in 11 cancers, including COAD, ESCA, LUAD, LUSC, READ, SKCM, STAD, TGCT, THCA, UCEC and UCS related datasets (p<0.05, |logFC|>2). Our results highlight that EMT-associated MALAT1 and NEAT1 are consistently dysregulated in both tumor tissues and CTCs across different cancer types, underscoring their potential as biomarkers and therapeutic targets. Multi-cancer analyses of EMT-related lncRNAs may provide deeper insights into metastasis and support advances in precision oncology.