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Curation of cancer hallmark-based genes and pathways for in silico characterization of chemical carcinogenesis

机译:基于癌症的基于癌症的基因和途径在化学致癌物中的硅表征

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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.
机译:暴露于环境中的有毒物质是癌症最重要的原因之一。然而,核鉴定和表征的耗时过程不适用于大量的测试化学品。数据差距使致癌风险无法控制。高效地,具有可解释机制信息的优先考虑致癌问题的化学品的高效有效方式。本研究提出了与Halifax项目报告的11个标志(HOCS)相关的基因和途径的策疗工作。为了证明所治性的HOC数据的有用性,使用IN在硅毒毒学Mechdis系统中分析了IARC,NTP和EPA的三种致癌物质清单的相互作用基因和受影响的HOC途径。结果表明,已知的致癌物质比其他化学品更高数量的受影响的HOC。预计策划的HOC数据将用于优先考虑致癌界限的化学品.Database URL:HOC数据库可在HTTPS://github.com/hocdb-kmu-tmu/hocdb和数据库日志网站作为补充数据。

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