Open AccessIntegrated bioinformatics analysis of key genes involved in progress of colon cancer
Author(s) -
Yang Haojie,
Wu Jiong,
Zhang Jingjing,
Yang Zhigang,
Jin Wei,
Li Ying,
Jin Lei,
Yin Lu,
Liu Hua,
Wang Zhenyi
Publication year - 2019
Publication title -
molecular genetics and genomic medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.765
H-Index - 29
ISSN - 2324-9269
DOI - 10.1002/mgg3.588
Subject(s) - colorectal cancer , gene , kegg , cancer , gene ontology , genome , metastasis , bioinformatics , computational biology , biology , medicine , genetics , gene expression
Background Colon cancer is one of most malignant cancers around worldwide. Nearly 20% patients were diagnosed at colon cancer with metastasis. However, the lack of understanding regarding its pathogenesis brings difficulties to study it. Methods In this study, we acquired high‐sequence data from GEO dataset, and performed integrated bioinformatic analysis including differently expressed genes, gene ontology and Kyoto Encyclopedia of Genes and Genomes pathways analysis, protein–protein analysis, survival analysis to analyze the development of colon cancer. Results By comparing the colon cancer tissues with normal colon tissues, 109 genes were dysregulated; among them, 83 genes were downregulated and 26 genes were upregulated. Two clusters were founded based on the STRING database and MCODE plugin of cytoscape software. Then, six genes with prognostic value were filtered out in UALCAN website. Conclusion We found that SPP1 , VIP , COL11A1 , CA2 , ADAM12 , INHBA could provide great significant prognostic value for colon cancer.