PAN-cancer analysis of S-phase enriched lncRNAs identifies oncogenic drivers and biomarkers

对 S 期富集的 lncRNA 进行 PAN 癌症分析,可识别致癌驱动因素和生物标志物

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作者:Mohamad Moustafa Ali, Vijay Suresh Akhade, Subazini Thankaswamy Kosalai, Santhilal Subhash, Luisa Statello, Matthieu Meryet-Figuiere, Jonas Abrahamsson, Tanmoy Mondal, Chandrasekhar Kanduri

Abstract

Despite improvement in our understanding of long noncoding RNAs (lncRNAs) role in cancer, efforts to find clinically relevant cancer-associated lncRNAs are still lacking. Here, using nascent RNA capture sequencing, we identify 1145 temporally expressed S-phase-enriched lncRNAs. Among these, 570 lncRNAs show significant differential expression in at least one tumor type across TCGA data sets. Systematic clinical investigation of 14 Pan-Cancer data sets identified 633 independent prognostic markers. Silencing of the top differentially expressed and clinically relevant S-phase-enriched lncRNAs in several cancer models affects crucial cancer cell hallmarks. Mechanistic investigations on SCAT7 in multiple cancer types reveal that it interacts with hnRNPK/YBX1 complex and affects cancer cell hallmarks through the regulation of FGF/FGFR and its downstream PI3K/AKT and MAPK pathways. We also implement a LNA-antisense oligo-based strategy to treat cancer cell line and patient-derived tumor (PDX) xenografts. Thus, this study provides a comprehensive list of lncRNA-based oncogenic drivers with potential prognostic value.

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