1. Clinical and Biological Implications of Mutational Spectrum in Acute Myeloid Leukemia of FAB Subtypes M0 and M1
- Author
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Qingyi Zhang, Jinlong Shi, Sun Wu, Hongmian Zhao, Lihua Wang, Yijie Zhang, Lin Fu, Dong Ma, Lingxiu Zhang, Kai Hu, Xiufeng Wang, Zhiheng Cheng, Yang Jiao, Yuan Zhang, Ning Hu, Yifeng Dai, Tong Qin, and Yifan Pang
- Subjects
0301 basic medicine ,Oncology ,Male ,Databases, Factual ,Physiology ,IMPACT ,medicine.medical_treatment ,Hematopoietic stem cell transplantation ,Gene mutation ,lcsh:Physiology ,0302 clinical medicine ,RELEVANCE ,AML ,hemic and lymphatic diseases ,lcsh:QD415-436 ,Mutation frequency ,Univariate analysis ,lcsh:QP1-981 ,Myeloid leukemia ,Middle Aged ,Prognosis ,Neoplasm Proteins ,Survival Rate ,PREDICTS FAVORABLE PROGNOSIS ,INTERMEDIATE ,PARADIGM ,Leukemia, Myeloid, Acute ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,NPM1 ,Female ,Nucleophosmin ,GENE-MUTATIONS ,medicine.medical_specialty ,M0 and M1 ,Risk Assessment ,CLASSIFICATION ,Disease-Free Survival ,lcsh:Biochemistry ,03 medical and health sciences ,Internal medicine ,White blood cell ,Next generation sequencing ,medicine ,Biomarkers, Tumor ,Humans ,Survival rate ,Aged ,Acute myeloid leukemia ,business.industry ,KARYOTYPE ,030104 developmental biology ,Mutational spectrum ,Mutation ,business - Abstract
Background/Aims: Acute myeloid leukemia (AML) of French-American-British (FAB) subtypes M0 and M1 are both poorly differentiated AML, but their mutational spectrum and molecular characteristics remain unknown. This study aimed to explore the mutational spectrum and prognostic factors of AML-M0 and M1. Methods: Sixty-five AML patients derived from The Cancer Genome Atlas (TCGA) database were enrolled in this study. Whole-genome sequencing was performed to depict the mutational spectrum of each patient. Clinical characteristics at diagnosis, including peripheral blood (PB) white blood cell counts (WBC), blast percentages in PB and bone marrow (BM), FAB subtypes and the frequencies of known recurrent genetic mutations were described. Survival was estimated using the Kaplan-Meier methods and log-rank test. Univariate and multivariate Cox proportional hazard models were constructed for event-free survival (EFS) and overall survival (OS), using a limited backward elimination procedure. Results: Forty-six patients had more than five recurrent genetic mutations. FLT3 had the highest mutation frequency (n=20, 31%), followed by NPM1 (n=18, 28%), DNMT3A (n=16, 25%), IDH1 (n=14, 22%), IDH2 (n=12, 18%), RUNX1 (n=11, 17%) and TET2 (n=7, 11%). Univariate analysis showed that age ≥60 years and TP53 mutations had adverse effect on EFS (P=0.015, P=0.036, respectively) and OS (P=0.003, P=0.004, respectively), WBC count ≥50×109/L and FLT3-ITD negatively affected EFS (P=0.003, P=0.034, respectively), whereas NPM1 mutations had favorable effect on OS (P=0.035) and allogeneic hematopoietic stem cell transplantation (allo-HSCT) on EFS and OS (all P< 0.001). Multivariate analysis suggested that allo-HSCT and NPM1 mutations were independent favorable prognostic factors for EFS and OS (all P< 0.05), WBC count ≥50×109/L was an independent risk factor for EFS (P=0.002) and TP53 mutations for OS (P=0.043). Conclusions: Our study provided new insights into the mutational spectrum and molecular signatures of AML-M0 and M1. We proposed that FLT3-ITD, NPM1 and TP53 be identified as markers for risk stratification of AML-M0 and M1. Patients with AML-M0 and M1 would likely benefit from allo-HSCT.
- Published
- 2018