{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Lv W"],"funding":["National Natural Science Foundation of China"],"pagination":["1626-1642"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8326438"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["246(14)"],"pubmed_abstract":["Since genetic alteration only accounts for 20%-30% in the drug effect-related factors, the role of epigenetic regulation mechanisms in drug response is gradually being valued. However, how epigenetic changes and abnormal gene expression affect the chemotherapy response remains unclear. Therefore, we constructed a variety of mathematical models based on the integrated DNA methylation, gene expression, and anticancer drug response data of cancer cell lines from pan-cancer levels to identify genes whose DNA methylation is associated with drug response and then to assess the impact of epigenetic regulation of gene expression on the sensitivity of anticancer drugs. The innovation of the mathematical models lies in: Linear regression model is followed by logistic regression model, which greatly "],"journal":["Experimental biology and medicine (Maywood, N.J.)"],"pubmed_title":["Exploring effects of DNA methylation and gene expression on pan-cancer drug response by mathematical models."],"pmcid":["PMC8326438"],"funding_grant_id":["31771601","61972116"],"pubmed_authors":["Lv W","Dong H","Wu Q","Sun B","Zhang Y","Zhang X"],"additional_accession":[]},"is_claimable":false,"name":"Exploring effects of DNA methylation and gene expression on pan-cancer drug response by mathematical models.","description":"Since genetic alteration only accounts for 20%-30% in the drug effect-related factors, the role of epigenetic regulation mechanisms in drug response is gradually being valued. However, how epigenetic changes and abnormal gene expression affect the chemotherapy response remains unclear. Therefore, we constructed a variety of mathematical models based on the integrated DNA methylation, gene expression, and anticancer drug response data of cancer cell lines from pan-cancer levels to identify genes whose DNA methylation is associated with drug response and then to assess the impact of epigenetic regulation of gene expression on the sensitivity of anticancer drugs. The innovation of the mathematical models lies in: Linear regression model is followed by logistic regression model, which greatly ","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Jul","modification":"2025-04-19T20:45:01.128Z","creation":"2025-02-19T00:25:39.265Z"},"accession":"S-EPMC8326438","cross_references":{"pubmed":["33910405"],"doi":["10.1177/15353702211007766"]}}