<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Sang L</submitter><funding>111 Incubation Project</funding><funding>Major Discipline Academic and Technical Leaders Training Program of Jiangxi Province</funding><funding>National Natural Science Foundation of China</funding><pagination>247-262</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10879352</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>41(2)</volume><pubmed_abstract>&lt;h4>Objective&lt;/h4>Antineoplastic agent-induced systolic dysfunction is a major reason for interruption of anticancer treatment. Although targeted anticancer agents infrequently cause systolic dysfunction, their combinations with chemotherapies remarkably increase the incidence. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) provide a potent in vitro model to assess cardiovascular safety. However, quantitatively predicting the reduction of ejection fraction based on hiPSC-CMs is challenging due to the absence of the body's regulatory response to cardiomyocyte injury.&lt;h4>Methods&lt;/h4>Here, we developed and validated an in vitro-in vivo translational platform to assess the reduction of ejection fraction induced by antineoplastic drugs based on hiPSC-CMs. The translation</pubmed_abstract><journal>Pharmaceutical research</journal><pubmed_title>An In Silico Platform to Predict Cardiotoxicity Risk of Anti-tumor Drug Combination with hiPSC-CMs Based In Vitro Study.</pubmed_title><pmcid>PMC10879352</pmcid><funding_grant_id>20212BCJ23025</funding_grant_id><funding_grant_id>81973391</funding_grant_id><funding_grant_id>BC2018024</funding_grant_id><funding_grant_id>81773826</funding_grant_id><pubmed_authors>Qian H</pubmed_authors><pubmed_authors>Hao K</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>He H</pubmed_authors><pubmed_authors>Luo S</pubmed_authors><pubmed_authors>Zhou Y</pubmed_authors><pubmed_authors>Sang L</pubmed_authors><pubmed_authors>Zhou Z</pubmed_authors></additional><is_claimable>false</is_claimable><name>An In Silico Platform to Predict Cardiotoxicity Risk of Anti-tumor Drug Combination with hiPSC-CMs Based In Vitro Study.</name><description>&lt;h4>Objective&lt;/h4>Antineoplastic agent-induced systolic dysfunction is a major reason for interruption of anticancer treatment. Although targeted anticancer agents infrequently cause systolic dysfunction, their combinations with chemotherapies remarkably increase the incidence. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) provide a potent in vitro model to assess cardiovascular safety. However, quantitatively predicting the reduction of ejection fraction based on hiPSC-CMs is challenging due to the absence of the body's regulatory response to cardiomyocyte injury.&lt;h4>Methods&lt;/h4>Here, we developed and validated an in vitro-in vivo translational platform to assess the reduction of ejection fraction induced by antineoplastic drugs based on hiPSC-CMs. The translation</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Feb</publication><modification>2026-06-10T09:25:12.701Z</modification><creation>2025-04-06T12:32:42.61Z</creation></dates><accession>S-EPMC10879352</accession><cross_references><pubmed>38148384</pubmed><doi>10.1007/s11095-023-03644-4</doi></cross_references></HashMap>