Integrative analysis to prospect potential biomarkers related to colorectal cancer diagnosis via Artificial Intelligence
Integrative analysis to prospect potential biomarkers related to colorectal cancer diagnosis via Artificial Intelligence
Fatemeh Hajibabaie,1Navid Abedpoor,2,*
1. Department of Physiology, Medicinal Plants Research Center, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran 2. Department of Physiology, Medicinal Plants Research Center, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
Introduction: Introduction: Even though colorectal cancer is one of the most prevalent digestive tract cancers, the exact rationales of the pathophysiological mechanism and related genes are still a puzzle. Therefore, gaining comprehensive insight into the pathomechanism and identifying hub genes associated with colorectal cancer susceptibility can shed light on current diagnostic and treatment methods. Text mining and artificial intelligence surveys have revealed a complex cross-talk between genomics, transcriptomics, epigenomics, methylomics, family history, and environmental terms like gut microbiota alteration, diet pattern, infection, metabolic disorders, mental conditions, and inflammation may all play a role in causing gastrointestinal damage.
Methods: Methods: In this comprehensive analysis, genome-sequencing and high-throughput data have been used to pinpoint the genes that make constitute the intracellular signaling networks that govern biological processes. On the other hand, data analysis of non-coding RNAs indicated the significant effects of epigenetics, microRNAs, and lncRNAs practice critical roles in the susceptibility, risk, development, and progression of tumors from normal to end-stage colorectal tumors.
Results: Results: Based on artificial intelligence surveys, protein-protein interactions network analysis, and enrichment of molecular signaling pathways related to colorectal pathogenesis and progression rate, we provided a list of significant differential expressions of genes, lncRNAs, and microRNAs that might present prospective molecular genetics markers. Hence we suggested that significant differential expressions of genetic markers with high connectivity and positive feedback loops, known as hub nodes, tend to become master switches in the development and progress of tumoral cells.
Conclusion: Conclusion: Here, we achieved comprehensive biomarkers for monitoring and follow-up of the colorectal state that could be practically significant efforts on prognosis and diagnosis approach.