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Zhang Y, Ji M, Zhao JY, Wang HF, Wang CW, Li W, Ye JJ, Lu F, Lin LH, Gao YT, Jin J, Li L, Ji CY, Ballesteros J, Zhu HH. Ex Vivo Chemosensitivity Profiling of Acute Myeloid Leukemia and Its Correlation With Clinical Response and Outcome to Chemotherapy. Front Oncol 2022; 11:793773. [PMID: 35071002 PMCID: PMC8767104 DOI: 10.3389/fonc.2021.793773] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 12/10/2021] [Indexed: 01/09/2023] Open
Abstract
We evaluated the predictive value of the ex-vivo PharmaFlow PM platform in measuring the pharmacological activity of drug combinations consisting of 20 different chemotherapy regimens (20 Tx) administered in 104 acute myeloid leukemia (AML) patients. The predicted sensitivities of alternative treatments for each patient were ranked in five 20% categories, from resistant to sensitive (Groups 1–5). The complete remission (CR) rates of the five groups were 0%, 12.5%, 38.5%, 50.0%, and 81.3%, respectively. The heat map showed a good relationship between drug sensitivity with CR (Group 4 + 5 vs. Group 1 + 2+3: 77.5% vs. 27.3%, p = 0.002) and the European Leukemia Net risk group (22.6% vs. 63.6%, p = 0.015). The predicted coincidence rate was 90.9% in Group 1 + 2 and 81.3% in Group 5. According to the recommendations of the PharmaFlow PM platform, the CR rate would have increased by about 16.3% in one cycle. The overall survival (OS) was shorter in patients predicted to be resistant (Group 1 + 2 vs. Group 3 + 4+5, p = 0.086). In multivariable analysis, CR after one cycle was an independent prognostic factor for OS [p = 0.001; 95% CI 0.202 (0.080–0.511)], and ex-vivo chemosensitivity was a potential predictive factor for OS [p = 0.078; 95% CI 0.696 (0.465–1.041)]. To conclude, the PharmaFlow PM platform is a rapid and valuable tool for predicting clinical response and outcomes in AML patients.
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Affiliation(s)
- Yi Zhang
- Department of Hematology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Zhejiang Province Key Laboratory of Hematology Oncology Diagnosis and Treatment, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China
| | - Min Ji
- Department of Hematology, Qilu Hospital, Shandong University, Jinan, China
| | - Jin-Yan Zhao
- Department of Laboratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hua-Feng Wang
- Department of Hematology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Zhejiang Province Key Laboratory of Hematology Oncology Diagnosis and Treatment, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China.,Zhejiang Laboratory for Systems & Precision Medicine, Zhejiang University Medical Center, Hangzhou, China
| | - Chong-Wu Wang
- R & D Department, Hosea Medical Technology (Beijing) Co., Ltd., Beijing, China
| | - Wei Li
- Department of Hematology, Qilu Hospital, Shandong University, Jinan, China
| | - Jing-Jing Ye
- Department of Hematology, Qilu Hospital, Shandong University, Jinan, China
| | - Fei Lu
- Department of Hematology, Qilu Hospital, Shandong University, Jinan, China
| | - Li-Hui Lin
- Department of Laboratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan-Ting Gao
- Department of Laboratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Jin
- Department of Hematology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Zhejiang Province Key Laboratory of Hematology Oncology Diagnosis and Treatment, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China.,Zhejiang Laboratory for Systems & Precision Medicine, Zhejiang University Medical Center, Hangzhou, China
| | - Li Li
- Department of Laboratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chun-Yan Ji
- Department of Hematology, Qilu Hospital, Shandong University, Jinan, China
| | | | - Hong-Hu Zhu
- Department of Hematology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Zhejiang Province Key Laboratory of Hematology Oncology Diagnosis and Treatment, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China.,Zhejiang Laboratory for Systems & Precision Medicine, Zhejiang University Medical Center, Hangzhou, China
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Megías-Vericat JE, Martínez-Cuadrón D, Solana-Altabella A, Montesinos P. Precision medicine in acute myeloid leukemia: where are we now and what does the future hold? Expert Rev Hematol 2020; 13:1057-1065. [PMID: 32869672 DOI: 10.1080/17474086.2020.1818559] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
INTRODUCTION Precision medicine has revolutionized the diagnostic and therapeutic management of acute myeloid leukemia (AML), from standardized schemes based on chemotherapy to tailored approaches according to molecular and genetic profile and targeted therapy. AREAS COVERED The main topics of precision medicine in AML were reviewed in MEDLINE, EMBASE, and Cochrane Central Register databases, and future directions in this therapeutic area were addressed. This review included targeted therapies, drug-sensitivity tests and predictive biomarkers, and genetic studies employing pharmacogenetic and deep sequencing strategies. EXPERT OPINION Precision medicine has opened the door to personalized therapy for specific AML patient populations with promising results. Several targeted therapies have been approved or are being tested for specific mutations (i.e. FLT3, IDH, BCL-2, TP53), obtaining improvements in clinical outcomes and less toxicity as compared with intensive treatment, allowing potential combination therapy. Ongoing trials and real data will establish the role of these molecules in monotherapy or combined in different AML settings (front-line, relapsed/refractory, or post-transplant). Experience in drug-sensitivity predictors and pharmacogenetic biomarkers is encouraging and could be useful tools in the next years, but we need a better understanding of AML biology and pathogenesis as well as confirmatory studies to demonstrate the utility in clinical practice.
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Affiliation(s)
| | - David Martínez-Cuadrón
- Servicio de Hematología y Hemoterapia, Hospital Universitari i Politècnic La Fe , Valencia, Spain.,CIBERONC, Instituto de Salud Carlos III , Madrid, Spain
| | - Antonio Solana-Altabella
- Servicio de Farmacia, Área del Medicamento, Hospital Universitari i Politècnic La Fe , Valencia, Spain
| | - Pau Montesinos
- Servicio de Hematología y Hemoterapia, Hospital Universitari i Politècnic La Fe , Valencia, Spain.,CIBERONC, Instituto de Salud Carlos III , Madrid, Spain
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