Multi-Omics Data Analysis for Cancer Research: Colorectal Cancer, Liver Cancer and Lung Cancer

Abstract

AbstractCancer is a multifactorial disease caused by the malfunction and modification of numerous biological entities, including genes, proteins, mRNAs, miRNAs, and metabolites. Recent advances in high-throughput technologies have generated massive amounts of diverse biological data, allowing researchers to investigate a large number of omics markers. While analyzing single omics data sets can reveal a wealth of information in a unidirectional fashion, because DNA, RNA, protein, and metabolite frequently collaborate to perform biological functions, the complementary effects and interactions between multiple molecular layers cannot be fully assessed. As a result, only by integrating multiple types of omics data can we gain a systematic and comprehensive understanding of the functional mechanisms underlying DNA-level alterations in tumors and identify novel genes, markers, vital networks, and pathways. We will briefly discuss the current state of colorectal cancer, liver cancer, and lung cancer research in this article. Additionally, we discuss various multi-omics analyses conducted in the fields of colorectal cancer, liver cancer, and lung cancer research, which provide insight into novel cancer diagnostic and treatment approaches. We hope to inspire researchers to use multi-omics approaches to investigate cancer at the molecular, cellular, and systemic levels.KeywordsColorectal cancerLiver cancerLung cancerMulti-omics analysis