Omics Integration Analysis Unravel the Landscape of Driving Mechanisms of Colorectal Cancer.

ABSTRACT: Colorectal cancer (CRC) is one of the most malignant cancers and results in a substantial rate of morbidity and mortality. Diagnosis of this malignancy in early stages increases the chance of effective treatment. High-throughput data analyses reveal omics signatures and also provide the possibility of developing computational models for early detection of this disease. Such models would be able to use as complementary tools for early detection of different types of cancers including CRC. In this study, using gene expression data, the Flux balance analysis (FBA) applied to decode metabolic fluxes in cancer and normal cells. Moreover, transcriptome and genome analyses revealed driver agents of CRC in a biological network scheme. By applying comprehensive publicly available data from TCGA, di

SUBMITTER: Nikmanesh F 

PROVIDER: S-EPMC8046321 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature