{"title":"缺氧癌细胞新陈代谢的转录调控与人工智能。","authors":"Luana Schito, Sergio Rey-Keim","doi":"10.1016/j.trecan.2024.10.003","DOIUrl":null,"url":null,"abstract":"<p><p>Gene expression regulation in hypoxic tumor microenvironments is mediated by O<sub>2</sub> responsive transcription factors (O<sub>2</sub>R-TFs), fine-tuning cancer cell metabolic demand for O<sub>2</sub> according to its availability. Here, we discuss key O<sub>2</sub>R-TFs and emerging artificial intelligence (AI)-based applications suitable for the interrogation of O<sub>2</sub>R-TF relationships specifying cancer cell metabolic adaptations to hypoxia.</p>","PeriodicalId":23336,"journal":{"name":"Trends in cancer","volume":null,"pages":null},"PeriodicalIF":14.3000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Transcriptional regulation of hypoxic cancer cell metabolism and artificial intelligence.\",\"authors\":\"Luana Schito, Sergio Rey-Keim\",\"doi\":\"10.1016/j.trecan.2024.10.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Gene expression regulation in hypoxic tumor microenvironments is mediated by O<sub>2</sub> responsive transcription factors (O<sub>2</sub>R-TFs), fine-tuning cancer cell metabolic demand for O<sub>2</sub> according to its availability. Here, we discuss key O<sub>2</sub>R-TFs and emerging artificial intelligence (AI)-based applications suitable for the interrogation of O<sub>2</sub>R-TF relationships specifying cancer cell metabolic adaptations to hypoxia.</p>\",\"PeriodicalId\":23336,\"journal\":{\"name\":\"Trends in cancer\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":14.3000,\"publicationDate\":\"2024-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trends in cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.trecan.2024.10.003\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.trecan.2024.10.003","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Transcriptional regulation of hypoxic cancer cell metabolism and artificial intelligence.
Gene expression regulation in hypoxic tumor microenvironments is mediated by O2 responsive transcription factors (O2R-TFs), fine-tuning cancer cell metabolic demand for O2 according to its availability. Here, we discuss key O2R-TFs and emerging artificial intelligence (AI)-based applications suitable for the interrogation of O2R-TF relationships specifying cancer cell metabolic adaptations to hypoxia.
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Trends in Cancer, a part of the Trends review journals, delivers concise and engaging expert commentary on key research topics and cutting-edge advances in cancer discovery and medicine.
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