Pathway Analysis Based on Attractor and Cross Talk in Colon Cancer. (25th September 2016)

• Record Type: Journal Article
• Authors: Liu, Yanxia; Wang, Lin; Wang, Bingping; Yue, Meng; Cheng, Yufeng
• Other Names: Nemes Szilárd Academic Editor.
• Is Part Of: Disease markers. Volume 2016(2016)
• Publication Date: 2016-09-25
• Subjects: Diagnosis -- Periodicals; Biochemical markers -- Periodicals; Pathology -- Periodicals; 616
• DOI: 10.1155/2016/2619828
• Languages: English
• ISSNs: 0278-0240

Abstract

Abstract : Colon cancer is the third and second most common cancer form in men and women worldwide. It is generally accepted that colon cancer mainly results from diet. The aim of this study was to identify core pathways which elucidated the molecular mechanisms in colon cancer. The microarray data of E-GEOD-44861 was downloaded from ArrayExpress database. All human pathways were obtained from Kyoto Encyclopedia of Genes and Genomes database. In total, 135 differential expressed genes (DEG) were identified using Linear Models for Microarray Data package. Differential pathways were identified with the method of attractor after overlapping with DEG. Pathway cross talk network (PCN) was constructed by combining protein-protein interactions and differential pathways. Cross talks of all pathways were obtained in PCN. There were 65 pathways with RankProd (RP) values < 0.05 and 16 pathways with Impact Factors (IF) values > 100. Five pathways were satisfied withP value < 0.05, RP values < 0.05, and IF values > 100, which were considered to be the most important pathways in colon cancer. In conclusion, the five pathways were identified in the center status of colon cancer, which may contribute to understanding the mechanism and development of colon cancer.