1. A Pipeline to Call Multilevel Expression Changes between Cancer and Normal Tissues and Its Applications in Repurposing Drugs Effective for Gastric Cancer
- Author
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Min Zhou, Guangfeng Wu, Jianwei Yang, Jinyuan Lin, Sha Huang, Wei Gao, and Changhua Zhuo
- Subjects
0301 basic medicine ,Article Subject ,Gene regulatory network ,Antineoplastic Agents ,Biology ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,0302 clinical medicine ,Text mining ,Stomach Neoplasms ,Humans ,Gene Regulatory Networks ,Gene ,Repurposing ,Regulation of gene expression ,General Immunology and Microbiology ,business.industry ,Gene Expression Profiling ,Drug Repositioning ,General Medicine ,Neoplasm Proteins ,Gene Expression Regulation, Neoplastic ,Gene expression profiling ,Drug repositioning ,030104 developmental biology ,030220 oncology & carcinogenesis ,Cancer research ,Medicine ,Signal transduction ,Databases, Nucleic Acid ,business ,Signal Transduction ,Research Article - Abstract
Differential gene analyses on gastric cancer usually focus on expression change of single genes between tumor and adjacent normal tissues. However, besides changes on single genes, there are also coexpression and expression network module changes during the development of gastric cancer. In this study, we proposed a pipeline to investigate various levels of changes between gastric cancer and adjacent normal tissues, which were used to repurpose potential drugs for treating gastric cancer. Specifically, we performed a series of analyses on 242 gastric cancer samples (33-normal, 209-cancer) downloaded from the cancer genome atlas (TCGA), including data quality control, differential gene analysis, gene coexpression network analysis, module function enrichment analysis, differential coexpression analysis, differential pathway analysis, and screening of potential therapeutic drugs. In the end, we discovered some genes and pathways that are significantly different between cancer and adjacent normal tissues (such as the interleukin-4 and interleukin-13 signaling pathway) and screened perturbed genes by 2703 drugs that have a high overlap with the identified differentially expressed genes. Our pipeline might be useful for understanding cancer pathogenesis as well as gastric cancer treatment.
- Published
- 2020