Curation of cancer hallmark-based genes and pathways for in silico characterization of chemical carcinogenesis. (15th June 2020)

• Record Type: Journal Article
• Authors: Liang, Peir-In; Wang, Chia-Chi; Cheng, Hsien-Jen; Wang, Shan-Shan; Lin, Ying-Chi; Lin, Pinpin; Tung, Chun-Wei
• Is Part Of: Database. Volume 2020(2020)
• Publication Date: 2020-06-15
• Subjects: cancer hallmark -- curation -- the Halifax Project; Biology -- Databases -- Periodicals; Bioinformatics -- Periodicals; 570.285
• DOI: 10.1093/database/baaa045
• Languages: English
• ISSNs: 1758-0463

Abstract

Abstract: Exposure to toxic substances in the environment is one of the most important causes of cancer. However, the time-consuming process for the identification and characterization of carcinogens is not applicable to a huge amount of testing chemicals. The data gaps make the carcinogenic risk uncontrollable. An efficient and effective way of prioritizing chemicals of carcinogenic concern with interpretable mechanism information is highly desirable. This study presents a curation work for genes and pathways associated with 11 hallmarks of cancer (HOCs) reported by the Halifax Project. To demonstrate the usefulness of the curated HOC data, the interacting HOC genes and affected HOC pathways of chemicals of the three carcinogen lists from IARC, NTP and EPA were analyzed using the in silico toxicogenomics ChemDIS system. Results showed that a higher number of affected HOCs were observed for known carcinogens than the other chemicals. The curated HOC data is expected to be useful for prioritizing chemicals of carcinogenic concern. Database URL: The HOC database is available at https://github.com/hocdb-KMU-TMU/hocdb and the website of Database journal as Supplementary Data.