{"entity": "publication", "iuid": "ff9c916bc80942a3b47b817775b0536a", "timestamp": "2026-09-29T15:21:27.387Z", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/ff9c916bc80942a3b47b817775b0536a.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/ff9c916bc80942a3b47b817775b0536a"}}, "title": "Prediction model for drug response of acute myeloid leukemia patients.", "authors": [{"family": "Trac", "given": "Quang Thinh", "initials": "QT"}, {"family": "Pawitan", "given": "Yudi", "initials": "Y"}, {"family": "Mou", "given": "Tian", "initials": "T"}, {"family": "Erkers", "given": "Tom", "initials": "T"}, {"family": "\u00d6stling", "given": "P\u00e4ivi", "initials": "P"}, {"family": "Bohlin", "given": "Anna", "initials": "A"}, {"family": "\u00d6sterroos", "given": "Albin", "initials": "A", "orcid": "0000-0001-8749-7299", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/aafab8cd17e94d52a3cdeaf86d3acfa6.json"}}, {"family": "Vesterlund", "given": "Mattias", "initials": "M", "orcid": "0000-0001-9471-6592", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/e443cdb01cc44a7fa786941b5c0b62d6.json"}}, {"family": "Jafari", "given": "Rozbeh", "initials": "R", "orcid": "0000-0002-3396-4709", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/95546f158dde40709fbfbb822a8f89c5.json"}}, {"family": "Siavelis", "given": "Ioannis", "initials": "I"}, {"family": "B\u00e4ckvall", "given": "Helena", "initials": "H"}, {"family": "Kiviluoto", "given": "Santeri", "initials": "S"}, {"family": "Orre", "given": "Lukas M", "initials": "LM"}, {"family": "Rantalainen", "given": "Mattias", "initials": "M"}, {"family": "Lehti\u00f6", "given": "Janne", "initials": "J"}, {"family": "Lehmann", "given": "S\u00f6ren", "initials": "S"}, {"family": "Kallioniemi", "given": "Olli", "initials": "O"}, {"family": "Vu", "given": "Trung Nghia", "initials": "TN", "orcid": "0000-0001-7945-5750", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/1c68ab75cfd4458aaa0cff82a637a24b.json"}}], "type": "journal article", "published": "2023-03-24", "journal": {"title": "NPJ Precis Oncol", "issn": "2397-768X", "volume": "7", "issue": "1", "pages": "32", "issn-l": null}, "abstract": "Despite some encouraging successes, predicting the therapy response of acute myeloid leukemia (AML) patients remains highly challenging due to tumor heterogeneity. Here we aim to develop and validate MDREAM, a robust ensemble-based prediction model for drug response in AML based on an integration of omics data, including mutations and gene expression, and large-scale drug testing. Briefly, MDREAM is first trained in the BeatAML cohort (n = 278), and then validated in the BeatAML (n = 183) and two external cohorts, including a Swedish AML cohort (n = 45) and a relapsed/refractory acute leukemia cohort (n = 12). The final prediction is based on 122 ensemble models, each corresponding to a drug. A confidence score metric is used to convey the uncertainty of predictions; among predictions with a confidence score >0.75, the validated proportion of good responders is 77%. The Spearman correlations between the predicted and the observed drug response are 0.68 (95% CI: [0.64, 0.68]) in the BeatAML validation set, -0.49 (95% CI: [-0.53, -0.44]) in the Swedish cohort and 0.59 (95% CI: [0.51, 0.67]) in the relapsed/refractory cohort. A web-based implementation of MDREAM is publicly available at https://www.meb.ki.se/shiny/truvu/MDREAM/ .", "doi": "10.1038/s41698-023-00374-z", "pmid": "36964195", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC10039068"}, {"db": "pii", "key": "10.1038/s41698-023-00374-z"}], "notes": [], "created": "2026-09-23T09:07:52.948Z", "modified": "2026-09-23T09:07:53.074Z"}