TY - JOUR ID - 89372 TI - Omics Integration Analysis Unravel the Landscape of Driving Mechanisms of Colorectal Cancer JO - Asian Pacific Journal of Cancer Prevention JA - APJCP LA - en SN - 1513-7368 AU - Nikmanesh, Fatemeh AU - Sarhadi, Shamim AU - Dadashpour, Mehdi AU - Asghari, Yazdan AU - Zarghami, Nosratollah AD - Stem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. AD - Stem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. AD - Iranian Blood Transfusion Organization-Research Center, Iranian Blood Transfusion Organization, IBTO blg., Hemmat Exp. Way, Teheran, Iran. Y1 - 2020 PY - 2020 VL - 21 IS - 12 SP - 3539 EP - 3549 KW - colorectal cancer KW - Flux balance analysis KW - Omics integration KW - Regulome DO - 10.31557/APJCP.2020.21.12.3539 N2 - 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, different aspect of CRC regulome including the regulatory effect of gene expression, methylation, microRNA, copy number aberration and point mutation profile over protein levels investigated and the results provide a regulatory picture underlying CRC. Compiling omics profiles indicated snapshots of changes in different omics levels and flux rate of CRC. In conclusion, considering obtained CRC signatures and their role in biological operating systems of cells, the results suggest reliable driver regulatory modules that could potentially serve as biomarkers and therapeutic targets and furthermore expand our understanding of driving mechanisms of this disease.   UR - https://journal.waocp.org/article_89372.html L1 - https://journal.waocp.org/article_89372_792486edd757d927a492136d03f3acea.pdf ER -