Integrated bioinformatics analysis of key genes involved in progress of colon cancer

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 G...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Haojie, Wu, Jiong, Zhang, Jingjing, Yang, Zhigang, Jin, Wei, Li, Ying, Jin, Lei, Yin, Lu, Liu, Hua, Wang, Zhenyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6465657/
https://www.ncbi.nlm.nih.gov/pubmed/30746900
http://dx.doi.org/10.1002/mgg3.588
Descripción
Sumario: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.

Ejemplares similares