IDENTIFICATION OF NON-CODING RNAs WITH CLINICAL IMPLICATIONS IN MOLECULAR SUBTYPES OF COLORECTAL CANCER. AN IN-SILICO APPROACH.

SAULNIER D; ZWENGER A; CROCE MV; ABBA MC; LACUNZA E

Congreso; REUNIÓN DE SOCIEDADES DE BIOCIENCIAS 2020; 2020

Colorectal cancer (CRC) is a frequently lethal disease with heterogeneous outcomes and drug responses. Multiomics studies have revealed the molecular landscape of CRC, enabling the classification of patients according to 4 consensus molecular subtypes (CMS1-4). CMS1-immune comprises most tumors with MSI. CMS2-canonical and CMS3-metabolic both show epithelial characteristics. CMS4 comprises the more mesenchymal-like cancers, with poor patientprognosis. CMS1 and CMS4 also show poor response to standard therapies. Non-coding RNAs (ncRNAs) constitute more than 70% of the transcriptome. Two main classes have been largely associated with cancer; miRNAs and lncRNAs. Since some of these ncRNAs can be detected in human body fluid and have good specificity and accessibility, they have been suggested to be used as novel potential biomarkers for CRC diagnosis and prognosis as well as in the prediction of the response to therapy. In this study, we performed a classification of 688 CRC tumors obtained from TCGA into the 4 CMS employing the CMScaller bioinformatics tool. We characterized each subtype according to its main features. We then conducted an exhaustive gene expression profile analysis to identify the top upregulated lncRNAs and mature miRNAs in each subtype (CMSk) compared to the rest of the groups (CMSk-1; pvalue