Analysis of key GO terms and KEGG pathways associated with carcinogenic chemicals

• Published in: Combinatorial chemistry & high throughput screening
• Main Authors: Ding, Jing, Zhang, Ying
• Format: Journal Article
• Language: English
• Published: United Arab Emirates 01.12.2017
• Subjects: carcinogenic chemical; non-carcinogenic chemical; enrichment score; GO term; KEGG pathway; minimal redundancy maximal relevance
• ISSN: 1875-5402
• DOI: 10.2174/1386207321666171218120133

Cancer is one of the serious disease that causes several human deaths every year. Up to now, we have spent lots of time and money to investigate this disease, thereby designing effective treatments. Previous studies mainly focus on studying genetic background of different subtypes of cancer and neglect another important factor, environmental factor. Carcinogenic chemical is one of the type of environmental factor, exposure of such chemical may definitely initiate and promote the tumorigenesis. In this study, we tried to partly describe the differences between carcinogenic and non-carcinogenic chemicals using gene ontology (GO) terms and KEGG pathways. The carcinogenic and non-carcinogenic chemicals that were retrieved from Carcinogenic Potency Database (CPDB) were encoded into numeric vectors using the enrichment theories of GO terms and KEGG pathways. Then, the minimal redundancy maximal relevance (mRMR) method was adopted to analyze all features, resulting in some important GO terms and KEGG pathways. The extensive analysis of the identified GO terms and KEGG pathways indicate that they all play roles during the tumorigenesis, inducing that they can be key indicator for identification of carcinogenic chemicals.