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Shen Y, Fu YK, Zhu YM, Lou YJ, Gu ZH, Shi JY, Chen B, Chen C, Zhu HH, Hu J, Zhao WL, Mi JQ, Chen L, Zhu HM, Shen ZX, Jin J, Wang ZY, Li JM, Chen Z, Chen SJ. Mutations of Epigenetic Modifier Genes as a Poor Prognostic Factor in Acute Promyelocytic Leukemia Under Treatment With All-Trans Retinoic Acid and Arsenic Trioxide. EBioMedicine 2015; 2:563-71. [PMID: 26285909 PMCID: PMC4535155 DOI: 10.1016/j.ebiom.2015.04.006] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2015] [Revised: 04/07/2015] [Accepted: 04/09/2015] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Acute promyelocytic leukemia (APL) is a model for synergistic target cancer therapy using all-trans retinoic acid (ATRA) and arsenic trioxide (ATO), which yields a very high 5-year overall survival (OS) rate of 85 to 90%. Nevertheless, about 15% of APL patients still get early death or relapse. We performed this study to address the possible impact of additional gene mutations on the outcome of APL. METHODS We included a consecutive series of 266 cases as training group, and then validated the results in a testing group of 269 patients to investigate the potential prognostic gene mutations, including FLT3-ITD or -TKD, N-RAS, C-KIT, NPM1, CEPBA, WT1, ASXL1, DNMT3A, MLL (fusions and PTD), IDH1, IDH2 and TET2. RESULTS More high-risk patients (50.4%) carried additional mutations, as compared with intermediate- and low-risk ones. The mutations of epigenetic modifier genes were associated with poor prognosis in terms of disease-free survival in both training (HR = 6.761, 95% CI 2.179-20.984; P = 0.001) and validation (HR = 4.026, 95% CI 1.089-14.878; P = 0.037) groups. Sanz risk stratification was associated with CR induction and OS. CONCLUSION In an era of ATRA/ATO treatment, both molecular markers and clinical parameter based stratification systems should be used as prognostic factors for APL.
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Affiliation(s)
- Yang Shen
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine and Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China
| | - Ya-Kai Fu
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine and Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China
| | - Yong-Mei Zhu
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine and Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China
| | - Yin-Jun Lou
- Zhejiang Institute of Hematology, First Affiliated Hospital, Zhejiang University School of Medicine Peking, China
| | - Zhao-Hui Gu
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine and Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China
| | - Jing-Yi Shi
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine and Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China
| | - Bing Chen
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine and Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China
| | - Chao Chen
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine and Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China
| | | | - Jiong Hu
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine and Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China
| | - Wei-Li Zhao
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine and Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China
| | - Jian-Qing Mi
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine and Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China
| | - Li Chen
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine and Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China
| | - Hong-Ming Zhu
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine and Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China
| | - Zhi-Xiang Shen
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine and Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China
| | - Jie Jin
- Zhejiang Institute of Hematology, First Affiliated Hospital, Zhejiang University School of Medicine Peking, China
| | - Zhen-Yi Wang
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine and Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China
| | - Jun-Min Li
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine and Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China
| | - Zhu Chen
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine and Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China
| | - Sai-Juan Chen
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine and Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China
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Abstract
Acute promyelocytic leukemia (APL) is a unique subtype of acute myeloid leukemia (AML). The prognosis of APL is changing, from the worst among AML as it used to be, to currently the best. The application of all-trans-retinoic acid (ATRA) to the induction therapy of APL decreases the mortality of newly diagnosed patients, thereby significantly improving the response rate. Therefore, ATRA combined with anthracycline-based chemotherapy has been widely accepted and used as a classic treatment. It has been demonstrated that high doses of cytarabine have a good effect on the prevention of relapse for high-risk patients. However, as the indications of arsenic trioxide (ATO) for APL are being extended from the original relapse treatment to the first-line treatment of de novo APL, we find that the regimen of ATRA, combined with ATO, seems to be a new treatment option because of their targeting mechanisms, milder toxicities and improvements of long-term outcomes; this combination may become a potentially curable treatment modality for APL. We discuss the therapeutic strategies for APL, particularly the novel approaches to newly diagnosed patients and the handling of side effects of treatment and relapse treatment, so as to ensure each newly diagnosed patient of APL the most timely and best treatment.
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