Cancer subtypes classification using long non-coding RNA.
Fiche publication
Date publication
août 2016
Journal
Oncotarget
Auteurs
Membres identifiés du Cancéropôle Est :
Pr MALOUF Gabriel
Tous les auteurs :
Flippot R, Malouf GG, Su X, Mouawad R, Spano JP, Khayat D
Lien Pubmed
Résumé
Inter-tumor heterogeneity might explain divergent clinical evolution of cancers bearing similar pathological features. In the last decade, genomic has highly improved tumor subtypes classification through the identification of oncogenic or tumor suppressor drivers. In addition, epigenetics and long non-coding RNAs (lncRNAs) are emerging as new fields for investigation, which might also account for tumor heterogeneity. There is growing evidence that modifications of lncRNA expression profiles are involved in cancer progression through epigenetic regulation, activation of pro-oncogenic pathways and crosstalks with other RNA subtypes. Consequently, the study of lncRNA expression profile will be a key factor in the future for charting cancer subtype classifications as well as defining prognostic and progression biomarkers. Herein we discuss the interest of lncRNA as potent prognostic and predictive biomarkers, and provide a glimpse on the impact of emerging cancer subtypes classification based on lncRNAs.
Mots clés
Animals, Biomarkers, Tumor, genetics, Gene Expression Profiling, Humans, Neoplasms, classification, RNA, Long Noncoding, analysis
Référence
Oncotarget. 2016 Aug 16;7(33):54082-54093