A Cluster-Based Approach for Identifying Prognostic microRNA Signatures in Digestive System Cancers.

ABSTRACT: Cancer remains the second leading cause of death all over the world. Aberrant expression of miRNA has shown diagnostic and prognostic value in many kinds of cancer. This study aims to provide a novel strategy to identify reliable miRNA signatures and develop improved cancer prognostic models from reported cancer-associated miRNAs. We proposed a new cluster-based approach to identify distinct cluster(s) of cancers and corresponding miRNAs. Further, with samples from TCGA and other independent studies, we identified prognostic markers and validated their prognostic value in prediction models. We also performed KEGG pathway analysis to investigate the functions of miRNAs associated with the cancer cluster of interest. A distinct cluster with 28 cancers and 146 associated miRNAs was identified

SUBMITTER: Zhou J 

PROVIDER: S-EPMC7913556 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature