Mutation Relation Extraction and Genes Network Analysis in Colon Cancer

Abstract

Colon cancer (Cc) is the third high-malignancy cancer in the world, and there are abundant publications about colon cancer. A Support Vector Machine classifier is used to extract the relation about mutated genes, microRNAs (miRNA) in Cc cells by mining scientific literature containing experimentally validated data. Three topology networks are constructed based on the extracted genes and miRNAs. The feed-back loops and self-adaption relations are found within these networks, and used for identifying the mechanism of colon cancer by comparing and analyzing the difference and relatedness among the networks. This study provides a fundamental hypothesis for further analysis of colon tumorigenesis.