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.

中文翻译：

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治愈基于癌症特征的基因和化学致癌作用的计算机表征的途径。

暴露于环境中的有毒物质是致癌的最重要原因之一。但是，用于鉴定和表征致癌物的耗时过程不适用于大量的测试化学品。数据缺口使致癌风险不可控。迫切需要一种有效且有效的方法，以可解释的机理信息来优先考虑致癌物质。这项研究为哈利法克斯计划（Halifax Project）报告的与11种癌症（HOC）相关的基因和途径提供了策展工作。为了证明整理的HOC数据的有用性，使用计算机分析了IARC，NTP和EPA的三种致癌物清单中化学物质的相互作用HOC基因和受影响的HOC途径毒理基因组学ChemDIS系统。结果表明，与其他化学物质相比，已知致癌物的HOC数量更高。预计整理的HOC数据将有助于对致癌物质进行优先排序。