Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.
Hematology Research Unit Helsinki, University of Helsinki, and Helsinki University Hospital Comprehensive Cancer Center, Department of Hematology, Helsinki, Finland.
Cancer Discov. 2022 Feb;12(2):388-401. doi: 10.1158/2159-8290.CD-21-0410. Epub 2021 Nov 17.
We generated drug-response and multiomics profiling data for a prospective series of 252 samples from 186 patients with acute myeloid leukemia (AML). A functional precision medicine tumor board (FPMTB) integrated clinical, molecular, and functional data for application in clinical treatment decisions. Actionable drugs were found for 97% of patients with AML, and the recommendations were clinically implemented in 37 relapsed or refractory patients. We report a 59% objective response rate for the individually tailored therapies, including 13 complete responses, as well as bridging five patients with AML to allogeneic hematopoietic stem cell transplantation. Data integration across all cases enabled the identification of drug response biomarkers, such as the association of overexpression with resistance to FLT3 inhibitors. Integration of molecular profiling and large-scale drug response data across many patients will enable continuous improvement of the FPMTB recommendations, providing a paradigm for individualized implementation of functional precision cancer medicine. SIGNIFICANCE: Oncogenomics data can guide clinical treatment decisions, but often such data are neither actionable nor predictive. Functional drug testing contributes significant additional, clinically actionable therapeutic insights for individual patients with AML. Such data can be generated in four days, enabling rapid translation through FPMTB...
我们为 186 名急性髓系白血病(AML)患者的 252 个前瞻性样本生成了药物反应和多组学分析数据。一个功能性精准医学肿瘤委员会(FPMTB)整合了临床、分子和功能数据,以应用于临床治疗决策。97%的 AML 患者找到了有效的药物,其中 37 名复发或难治性患者的建议得到了临床实施。我们报告了 59%的客观缓解率,对于个体化的治疗方案,包括 13 例完全缓解,以及为 5 名 AML 患者桥接了异基因造血干细胞移植。对所有病例进行的数据整合使我们能够识别药物反应的生物标志物,如过表达与 FLT3 抑制剂耐药的关联。对许多患者的分子分析和大规模药物反应数据的整合将使 FPMTB 的建议不断得到改进,为功能精准癌症医学的个体化实施提供范例。意义:肿瘤基因组学数据可以指导临床治疗决策,但这些数据通常既不可操作也不可预测。功能药物检测为 AML 患者提供了重要的、额外的、具有临床意义的治疗见解。这些数据可以在四天内生成,通过 FPMTB 快速转化。