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


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.

SUBMITTER: Ali MM 

PROVIDER: S-EPMC5830406 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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

Ali Mohamad Moustafa MM   Akhade Vijay Suresh VS   Kosalai Subazini Thankaswamy ST   Subhash Santhilal S   Statello Luisa L   Meryet-Figuiere Matthieu M   Abrahamsson Jonas J   Mondal Tanmoy T   Kanduri Chandrasekhar C  

Nature communications 20180228 1


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 marker  ...[more]

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