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Guo W, Zhang H, Wang M, Zheng Y, Cao Y, Zhang X, Zhai W, Zhang R, Yang D, Wei J, He Y, Ma Q, Xia Y, Pang A, Feng S, Han M, Jiang E. WT1 gene mutations impact post-transplant relapse in myelodysplastic syndrome with excess blasts 2 patients. Ann Hematol 2024; 103:2827-2836. [PMID: 38969929 DOI: 10.1007/s00277-024-05870-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 06/28/2024] [Indexed: 07/07/2024]
Abstract
Wilms tumor 1 (WT1) gene mutations are infrequent in myelodysplastic syndrome (MDS), but MDS with WT1 mutations (WT1mut) is considered high risk for acute myeloid leukemia (AML) transformation. The influence of WT1 mutations in patients with MDS after allogeneic hematopoietic stem cell transplantation (allo-HSCT) is unclear. We performed a retrospective analysis of 136 MDS with excess blasts 2 (MDS-EB2) patients with available WT1 status who underwent their first allo-HSCT between 2017 and 2022 in our center. There were 20 (20/136, 15%) cases in the WT1mut group and 116 (116/136, 85%) cases in the WT1 wild-type (WT1wt) group. WT1mut patients had a higher 2-year cumulative incidence of relapse (CIR) than WT1wt cases (26.2% vs. 9.4%, p = 0.037) after allo-HSCT. Multivariate analysis of relapse showed that WT1 mutations (HR, 6.0; p = 0.002), TP53 mutations (HR, 4.2; p = 0.021), and ≥ 5% blasts in bone marrow (BM) at transplantation (HR, 6.6; p = 0.004) were independent risk factors for relapse. Patients were stratified into three groups according to the risk factors. Two-year CIR differed significantly in high-, intermediate-, and low-risk groups (31.8%, 11.6%, and 0%, respectively). Hence, WT1 mutations may be related to post-transplant relapse in patients with MDS-EB2, which warrants further study.
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Affiliation(s)
- Wenwen Guo
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Haixiao Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Mingyang Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Yawei Zheng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Yigeng Cao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Xiaoyu Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Weihua Zhai
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Rongli Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Donglin Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Jialin Wei
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Yi He
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Qiaoling Ma
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Yonghui Xia
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Aiming Pang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Sizhou Feng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Mingzhe Han
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Erlie Jiang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
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Li F, Qin T, Li B, Qu S, Pan L, Zhang P, Sun Q, Cai W, Gao Q, Jiao M, Li J, Ai X, Ma J, Gale RP, Xu Z, Xiao Z. Predicting survival in patients with myelodysplastic/myeloproliferative neoplasms with SF3B1 mutation and thrombocytosis. Leukemia 2024; 38:1334-1341. [PMID: 38714876 PMCID: PMC11147759 DOI: 10.1038/s41375-024-02262-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 04/19/2024] [Accepted: 04/23/2024] [Indexed: 06/05/2024]
Abstract
We investigated data from 180 consecutive patients with myelodysplastic/myeloproliferative neoplasms with SF3B1 mutation and thrombocytosis (MDS/MPN-SF3B1-T) who were diagnosed according to the 2022 World Health Organization (WHO) classification of myeloid neoplasms to identify covariates associated with survival. At a median follow-up of 48 months (95% confidence interval [CI] 35-61 months), the median survival was 69 months (95% CI 59-79 months). Patients with bone marrow ring sideroblasts (RS) < 15% had shorter median overall survival (OS) than did those with bone marrow RS ≥ 15% (41 months [95% CI 32-50 months] versus 76 months [95% CI 59-93 months]; P < 0.001). According to the univariable analyses of OS, age ≥ 65 years (P < 0.001), hemoglobin concentration (Hb) < 80 g/L (P = 0.090), platelet count (PLT) ≥ 800 × 10E + 9/L (P = 0.087), bone marrow RS < 15% (P < 0.001), the Revised International Prognostic Scoring System (IPSS-R) cytogenetic category intermediate/poor/very poor (P = 0.005), SETBP1 mutation (P = 0.061) and SRSF2 mutation (P < 0.001) were associated with poor survival. Based on variables selected from univariable analyses, two separate survival prediction models, a clinical survival model, and a clinical-molecular survival model, were developed using multivariable analyses with the minimum value of the Akaike information criterion (AIC) to specifically predict outcomes in patients with MDS/MPN-SF3B1-T according to the 2022 WHO classification.
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Affiliation(s)
- Fuhui Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Tiejun Qin
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Bing Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Shiqiang Qu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Lijuan Pan
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Peihong Zhang
- Hematologic Pathology Center, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Qi Sun
- Hematologic Pathology Center, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Wenyu Cai
- Hematologic Pathology Center, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Qingyan Gao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Meng Jiao
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Junjie Li
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Xiaofei Ai
- Hematologic Pathology Center, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Jiao Ma
- Hematologic Pathology Center, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Robert Peter Gale
- Centre for Haematology, Department of Immunology and Inflammation, Imperial College of Science, Technology and Medicine, London, UK
| | - Zefeng Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
| | - Zhijian Xiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- Hematologic Pathology Center, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
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Szelest M, Giannopoulos K. Biological relevance of alternative splicing in hematologic malignancies. Mol Med 2024; 30:62. [PMID: 38760666 PMCID: PMC11100220 DOI: 10.1186/s10020-024-00839-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 05/14/2024] [Indexed: 05/19/2024] Open
Abstract
Alternative splicing (AS) is a strictly regulated process that generates multiple mRNA variants from a single gene, thus contributing to proteome diversity. Transcriptome-wide sequencing studies revealed networks of functionally coordinated splicing events, which produce isoforms with distinct or even opposing functions. To date, several mechanisms of AS are deregulated in leukemic cells, mainly due to mutations in splicing and/or epigenetic regulators and altered expression of splicing factors (SFs). In this review, we discuss aberrant splicing events induced by mutations affecting SFs (SF3B1, U2AF1, SRSR2, and ZRSR2), spliceosome components (PRPF8, LUC7L2, DDX41, and HNRNPH1), and epigenetic modulators (IDH1 and IDH2). Finally, we provide an extensive overview of the biological relevance of aberrant isoforms of genes involved in the regulation of apoptosis (e. g. BCL-X, MCL-1, FAS, and c-FLIP), activation of key cellular signaling pathways (CASP8, MAP3K7, and NOTCH2), and cell metabolism (PKM).
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Affiliation(s)
- Monika Szelest
- Department of Experimental Hematooncology, Medical University of Lublin, Chodzki 1, 20-093, Lublin, Poland.
| | - Krzysztof Giannopoulos
- Department of Experimental Hematooncology, Medical University of Lublin, Chodzki 1, 20-093, Lublin, Poland
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Bauer M, Schöbel CM, Wickenhauser C, Seliger B, Jasinski-Bergner S. Deciphering the role of alternative splicing in neoplastic diseases for immune-oncological therapies. Front Immunol 2024; 15:1386993. [PMID: 38736877 PMCID: PMC11082354 DOI: 10.3389/fimmu.2024.1386993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Accepted: 04/16/2024] [Indexed: 05/14/2024] Open
Abstract
Alternative splicing (AS) is an important molecular biological mechanism regulated by complex mechanisms involving a plethora of cis and trans-acting elements. Furthermore, AS is tissue specific and altered in various pathologies, including infectious, inflammatory, and neoplastic diseases. Recently developed immuno-oncological therapies include monoclonal antibodies (mAbs) and chimeric antigen receptor (CAR) T cells targeting, among others, immune checkpoint (ICP) molecules. Despite therapeutic successes have been demonstrated, only a limited number of patients showed long-term benefit from these therapies with tumor entity-related differential response rates were observed. Interestingly, splice variants of common immunotherapeutic targets generated by AS are able to completely escape and/or reduce the efficacy of mAb- and/or CAR-based tumor immunotherapies. Therefore, the analyses of splicing patterns of targeted molecules in tumor specimens prior to therapy might help correct stratification, thereby increasing therapy success by antibody panel selection and antibody dosages. In addition, the expression of certain splicing factors has been linked with the patients' outcome, thereby highlighting their putative prognostic potential. Outstanding questions are addressed to translate the findings into clinical application. This review article provides an overview of the role of AS in (tumor) diseases, its molecular mechanisms, clinical relevance, and therapy response.
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Affiliation(s)
- Marcus Bauer
- Institute of Pathology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Chiara-Maria Schöbel
- Institute for Translational Immunology, Brandenburg Medical School (MHB), Theodor Fontane, Brandenburg an der Havel, Germany
| | - Claudia Wickenhauser
- Institute of Pathology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Barbara Seliger
- Institute for Translational Immunology, Brandenburg Medical School (MHB), Theodor Fontane, Brandenburg an der Havel, Germany
- Department of Good Manufacturing Practice (GMP) Development & Advanced Therapy Medicinal Products (ATMP) Design, Fraunhofer Institute for Cell Therapy and Immunology (IZI), Leipzig, Germany
- Institute for Medical Immunology, Medical Faculty, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Simon Jasinski-Bergner
- Institute for Translational Immunology, Brandenburg Medical School (MHB), Theodor Fontane, Brandenburg an der Havel, Germany
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Zhao Y, Guo J, Zhao S, Wang R, Wu D, Chang C. Incorporating mutations and bone marrow fibrosis into the revised international prognostic scoring system in myelodysplastic syndromes. Leuk Lymphoma 2024; 65:100-108. [PMID: 37865969 DOI: 10.1080/10428194.2023.2271593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 10/10/2023] [Indexed: 10/24/2023]
Abstract
The independent prognostic significance of bone marrow fibrosis (BMF) in myelodysplastic syndromes (MDS) is challenged under currently molecular prognostic models. In this study, the clinical and genetic data from 438 MDS patients were analyzed retrospectively. The patients were randomly divided into training (n = 306) and validation (n = 132) cohorts. The independent significant prognostic factors included age, IPSS-R, BMF, TP53 and U2AF1. Using their weighted coefficients, we developed a simplified prognostic system. Four risk groups were produced: low, intermediate, high and very high. The new model yielded more clearly separated survival curves than the IPSS-R. In addition, our model achieved higher C-indexes (0.61 in the training cohort and 0.63 in the validation cohort) than the IPSS-RM model (0.59 and 0.58) and IPSS-R (0.57 and 0.56). In conclusion, BMF was an independent significant prognostic factor for MDS, and adding BMF into the IPSS-R improved its predictive capability.
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Affiliation(s)
- Youshan Zhao
- Department of Hematology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Juan Guo
- Department of Hematology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Sida Zhao
- Department of Hematology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Roujia Wang
- Department of Hematology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Dong Wu
- Department of Hematology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Chunkang Chang
- Department of Hematology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
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Cargo C, Bernard E, Beinortas T, Bolton KL, Glover P, Warren H, Payne D, Ali R, Khan A, Short M, Van Hoppe S, Smith A, Taylor J, Evans P, Papaemmanuil E, Crouch S. Predicting cytopenias, progression, and survival in patients with clonal cytopenia of undetermined significance: a prospective cohort study. Lancet Haematol 2024; 11:e51-e61. [PMID: 38135373 DOI: 10.1016/s2352-3026(23)00340-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 10/30/2023] [Accepted: 11/01/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND Somatic mutations are frequently reported in individuals with cytopenia but without a confirmed haematological diagnosis (clonal cytopenia of undetermined significance; CCUS). These patients have an increased risk of progression to a myeloid malignancy and worse overall survival than those with no such mutations. To date, studies have been limited by retrospective analysis or small patient numbers. We aimed to establish the natural history of CCUS by prospectively investigating outcome in a large, well defined patient cohort. METHODS This prospective cohort study was conducted at the Haematological Malignancy Diagnostic Service, a diagnostic laboratory in Leeds, UK. Patients aged at least 18 years who were referred for investigation of cytopenia were eligible for inclusion; those with a history of myeloid malignancy were not eligible. Targeted sequencing was conducted alongside routine clinical testing. Baseline mutation analysis was then correlated with the main study outcomes: longitudinal blood counts, disease progression to a myeloid malignancy, and overall survival with a median follow-up of 4·54 years (IQR 4·03-5·04). Data were collected manually from hospital records or extracted from laboratory or clinical outcome databases. FINDINGS Bone marrow samples from 2348 patients were received at the Haematological Malignancy Diagnostic Service between July 1, 2014, and July 31, 2016. Of these, 2083 patients (median age 72 years [IQR 63-80, range 18-99]; 854 [41·0%] female and 1229 [59·0%] male) met the inclusion criteria and had samples of sufficient quality for further analysis. 598 (28·7%) patients received a diagnosis on the basis of their biopsy sample, whereas 1485 (71·3%) samples were classified as non-diagnostic; of these, CCUS was confirmed in 400 (26·9%) patients (256 [64·0%] male and 144 [36·0%] female). TET2, SRSF2, and DNMT3A were the most frequently mutated genes in patients with CCUS, with 320 (80%) of 400 patients harbouring a mutation in at least one of these genes. Age (p<0·0001), sex (p=0·0027), and mutations in ASXL1 (p=0·0009), BCOR (p=0·0056), and TP53 (p=0·0055) correlated with a worse overall survival; however, the number of mutations was the strongest predictor for progression to a myeloid malignancy (two mutations, p=0·0024; three or more mutations, p=0·0004). Extended sequencing of samples from a subgroup of patients with sequential samples and no mutations in the initial myeloid gene panel showed recurrent mutations in both DDX41 and UBA1, suggesting that these genes should be included in clinical test panels. INTERPRETATION Mutation analysis is advised in patients who have undergone bone marrow examination and have an otherwise-unexplained cytopenia. High-risk genetic mutations and increased numbers of mutations are predictive of both survival and progression within 5 years of presentation, warranting clinical surveillance and, when necessary, intervention. FUNDING MDS Foundation.
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Affiliation(s)
- Catherine Cargo
- Haematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK.
| | - Elsa Bernard
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Tumas Beinortas
- St James's University Hospital, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Kelly L Bolton
- Washington University School of Medicine, St Louis, MO, USA
| | - Paul Glover
- Haematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK
| | - Helen Warren
- Haematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK
| | - Daniel Payne
- Haematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK
| | - Rukhsaar Ali
- Haematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK
| | - Alesia Khan
- Haematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK
| | - Mike Short
- Haematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK
| | - Suzan Van Hoppe
- Haematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK
| | - Alex Smith
- Epidemiology and Cancer Statistics Group, University of York, York, UK
| | - Jan Taylor
- Haematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK
| | - Paul Evans
- Haematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK
| | - Elli Papaemmanuil
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Simon Crouch
- Epidemiology and Cancer Statistics Group, University of York, York, UK
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Kim HY, Yoo KH, Jung CW, Kim HJ, Kim SH. Genetic Characteristics of Patients with Young-Onset Myelodysplastic Neoplasms. J Clin Med 2023; 12:7651. [PMID: 38137719 PMCID: PMC10743392 DOI: 10.3390/jcm12247651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 11/15/2023] [Accepted: 12/12/2023] [Indexed: 12/24/2023] Open
Abstract
Myelodysplastic neoplasm (MDS) is a heterogeneous group of myeloid neoplasms affected by germline and somatic genetic alterations. The incidence of MDS increases with age but rarely occurs at a young age. We investigated the germline and somatic genetic alterations of Korean patients with young-onset MDS (<40 years). Among the thirty-one patients, five (16.1%) had causative germline variants predisposing them to myeloid neoplasms (three with GATA2 variants and one each with PGM3 and ETV variants). We found that PGM3 deficiency, a subtype of severe immunodeficiency, predisposes patients to MDS. Somatic mutations were identified in 14 patients (45.2%), with lower rates in patients aged < 20 years (11.1%). Nine (29%) patients had U2AF1 S34F/Y mutations, and patients with U2AF1 mutations showed significantly worse progression-free survival (p < 0.001) and overall survival (p = 0.006) than those without U2AF1 mutations. A UBA1 M41T mutation that causes VEXAS syndrome was identified in a male patient. In conclusion, a germline predisposition to myeloid neoplasms occurred in ~16% of young-onset MDS patients and was largely associated with primary immunodeficiencies, including GATA2 deficiency. Furthermore, the high frequency of somatic U2AF1 mutations in patients with young-onset MDS suggests the presence of a distinct MDS subtype.
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Affiliation(s)
- Hyun-Young Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea; (H.-Y.K.); (H.-J.K.)
| | - Keon Hee Yoo
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea;
| | - Chul Won Jung
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea;
| | - Hee-Jin Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea; (H.-Y.K.); (H.-J.K.)
| | - Sun-Hee Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea; (H.-Y.K.); (H.-J.K.)
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8
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Mendoza H, Siddon AJ. Molecular Techniques and Gene Mutations in Myelodysplastic Syndromes. Clin Lab Med 2023; 43:549-563. [PMID: 37865502 DOI: 10.1016/j.cll.2023.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2023]
Abstract
Sequencing technology, particularly next-generation sequencing, has highlighted the importance of gene mutations in myelodysplastic syndromes (MDSs). Mutations affecting DNA methylation, chromatin modification, RNA splicing, cohesin complex, and other pathways are present in most MDS cases and often have prognostic and clinical implications. Updated international diagnostic guidelines as well as the new International Prognostic Scoring System-Molecular incorporate molecular data into the diagnosis and prognostication of MDS. With whole-genome sequencing predicted to become the future standard of genetic evaluation, it is likely that MDS diagnosis and management will become increasingly personalized based on an individual's clinical and genomic profile.
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Affiliation(s)
- Hadrian Mendoza
- Department of Internal Medicine, Yale School of Medicine, PO Box 208030, New Haven, CT 06520, USA
| | - Alexa J Siddon
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA; Department of Pathology, Yale School of Medicine, New Haven, CT, USA.
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9
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Badar T, Vanegas YAM, Nanaa A, Foran JM, Al-Kali A, Mangaonkar A, Murthy H, Alkhateeb HB, Viswanatha D, He R, Shah M, Yi CA, Litzow MR, Gangat N, Tefferi A, Patnaik MM. U2AF1 pathogenic variants in myeloid neoplasms and precursor states: distribution of co-mutations and prognostic heterogeneity. Blood Cancer J 2023; 13:149. [PMID: 37735430 PMCID: PMC10514309 DOI: 10.1038/s41408-023-00922-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 08/22/2023] [Accepted: 09/06/2023] [Indexed: 09/23/2023] Open
Abstract
We have previously recognized the genotypic and prognostic heterogeneity of U2AF1 mutations (MT) in myelofibrosis (MF) and myelodysplastic syndromes (MDS). In the current study, we considered 179 U2AF1-mutated patients with clonal cytopenia of undetermined significance (CCUS; n = 22), MDS (n = 108), MDS/acute myeloid leukemia (AML; n = 18) and AML (n = 31). U2AF1 variants included S34 (60%), Q157 (35%), and others (5%): corresponding mutational frequencies were 45%, 55%, and 0% in CCUS; 57%, 39%, and 4% in MDS; 61%, 33%, and 6% in MDS/AML; and 55%, 35% and 10% in AML (P = 0.17, 0.36 and 0.09), respectively. Concurrent mutations included ASXL1 (37%), BCOR (19%), RUNX1 (14%), TET2 (15%), DNMT3A (10%), NRAS/KRAS (8%), TP53 (8%), JAK2 (5.5%) and SETBP1 (5%). The two most frequent U2AF1 MT were S34F (n = 97) and Q157P (n = 46); concurrent MT were more likely to be seen with the latter (91% vs 74%; P = 0.01) and abnormal karyotype with the former (70% vs 62%; P = 0.05). U2AF1 S34F MT clustered with BCOR (P = 0.04) and Q157P MT with ASXL1 (P = 0.01) and TP53 (P = 0.03). The median overall survival (OS) in months was significantly worse in AML (14.2) vs MDS/AML (27.3) vs MDS (33.7; P = 0.001); the latter had similar OS with CCUS (30.0). In morphologically high-risk disease (n = 49), defined by ≥10% blood or bone marrow blasts (i.e., AML or MDS/AML), median OS was 14.2 with Q157P vs 37.1 months in the presence of S34F (P = 0.008); transplant-adjusted multivariable analysis confirmed the detrimental impact of Q157P (P = 0.01) on survival and also identified JAK2 MT as an additional risk factor (P = 0.02). OS was favorably affected by allogeneic hematopoietic stem cell transplantation (HR: 0.16, 95% CI; 0.04-0.61, P = 0.007). The current study defines the prevalence and co-mutational profiles of U2AF1 pathogenic variants in AML, MDS/AML, MDS, and CCUS, and suggests prognostic heterogeneity in patients with ≥10% blasts.
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Affiliation(s)
- Talha Badar
- Division of Hematology-Oncology and Bone Marrow Transplant Program, Mayo Clinic, Jacksonville, FL, 32224, USA.
| | - Yenny A Moreno Vanegas
- Division of Hematology-Oncology and Bone Marrow Transplant Program, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Ahmad Nanaa
- Division of Hematology, Mayo Clinic, Rochester, MN, 55905, USA
- John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, 60612, USA
| | - James M Foran
- Division of Hematology-Oncology and Bone Marrow Transplant Program, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Aref Al-Kali
- Division of Hematology, Mayo Clinic, Rochester, MN, 55905, USA
| | | | - Hemant Murthy
- Division of Hematology-Oncology and Bone Marrow Transplant Program, Mayo Clinic, Jacksonville, FL, 32224, USA
| | | | - David Viswanatha
- Division of Hematopathology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Rong He
- Division of Hematopathology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Mithun Shah
- Division of Hematology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Cecilia Arana Yi
- Department of Hematology Oncology, Mayo Clinic, Phoenix, AZ, USA
| | - Mark R Litzow
- Division of Hematology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Naseema Gangat
- Division of Hematology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Ayalew Tefferi
- Division of Hematology, Mayo Clinic, Rochester, MN, 55905, USA
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10
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Qu SQ, Pan LJ, Qin TJ, Xu ZF, Li B, Wang HJ, Sun Q, Jia YJ, Li CW, Cai WY, Gao QY, Jiao M, Xiao ZJ. [Molecular features of 109 patients with chronic myelomonocytic leukemia in a single center]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2023; 44:373-379. [PMID: 37550186 PMCID: PMC10440619 DOI: 10.3760/cma.j.issn.0253-2727.2023.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Indexed: 08/09/2023]
Abstract
Objective: To explore the molecular features of chronic myelomonocytic leukemia (CMML) . Methods: According to 2022 World Health Organization (WHO 2022) classification, 113 CMML patients and 840 myelodysplastic syndrome (MDS) patients from March 2016 to October 2021 were reclassified, and the clinical and molecular features of CMML patients were analyzed. Results: Among 113 CMML patients, 23 (20.4%) were re-diagnosed as acute myeloid leukemia (AML), including 18 AML with NPM1 mutation, 3 AML with KMT2A rearrangement, and 2 AML with MECOM rearrangement. The remaining 90 patients met the WHO 2022 CMML criteria. In addition, 19 of 840 (2.3%) MDS patients met the WHO 2022 CMML criteria. At least one gene mutation was detected in 99% of CMML patients, and the median number of mutations was 4. The genes with mutation frequency ≥ 10% were: ASXL1 (48%), NRAS (34%), RUNX1 (33%), TET2 (28%), U2AF1 (23%), SRSF2 (21.1%), SETBP1 (20%), KRAS (17%), CBL (15.6%) and DNMT3A (11%). Paired analysis showed that SRSF2 was frequently co-mutated with ASXL1 (OR=4.129, 95% CI 1.481-11.510, Q=0.007) and TET2 (OR=5.276, 95% CI 1.979-14.065, Q=0.001). SRSF2 and TET2 frequently occurred in elderly (≥60 years) patients with myeloproliferative CMML (MP-CMML). U2AF1 mutations were often mutually exclusive with TET2 (OR=0.174, 95% CI 0.038-0.791, Q=0.024), and were common in younger (<60 years) patients with myelodysplastic CMML (MD-CMML). Compared with patients with absolute monocyte count (AMoC) ≥1×10(9)/L and <1×10(9)/L, the former had a higher median age of onset (60 years old vs 47 years old, P<0.001), white blood cell count (15.9×10(9)/L vs 4.4×10(9)/L, P<0.001), proportion of monocytes (21.5% vs 15%, P=0.001), and hemoglobin level (86 g/L vs 74 g/L, P=0.014). TET2 mutations (P=0.021) and SRSF2 mutations (P=0.011) were more common in patients with AMoC≥1×10(9)/L, whereas U2AF1 mutations (P<0.001) were more common in patients with AMoC<1×10(9)/L. There was no significant difference in the frequency of other gene mutations between the two groups. Conclusion: According to WHO 2022 classification, nearly 20% of CMML patients had AMoC<1×10(9)/L at the time of diagnosis, and MD-CMML and MP-CMML had different molecular features.
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Affiliation(s)
- S Q Qu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - L J Pan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - T J Qin
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z F Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - B Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - H J Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Q Sun
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Y J Jia
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - C W Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - W Y Cai
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Q Y Gao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - M Jiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z J Xiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
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11
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Cheng H, Liu Y, Cheng M, Li W, Sun M, Tang Q, Ma J, Li P, Gong T. IDH2 regulates U2AF1 expression and hydroxymethylation in MDS patients. Biotechnol Genet Eng Rev 2023:1-12. [PMID: 36942631 DOI: 10.1080/02648725.2023.2190953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
The expression of some genes regulated by their DNA methylation is involved in pathogenesis and disease progression of myelodysplastic syndrome (MDS), which is characterised by abnormal differentiation and development of myeloid cells. Therefore, it is significant for us to work on investigating what factors regulate U2AF1 expression and hydroxymethylation in MDS patients. However, the members of TET protein family can change 5-methylcytosine (5mC) into 5-hydroxymethylcytosine5-methyl cytosine (5hmC). In general, 5mC and 5hmC levels maintain dynamic equilibrium, and their imbalance is associated with the onset and progression of some tumors. In this study, the expression and 5mC and 5hmC levels of U2AF1 gene decreased significantly after the treatment by decitabine in Mutz-1 cells. The decreased degree of 5hmC is far greater than that of 5mC. IDH2 expression decreased significantly followed by U2AF1 5hmC levels. However, the expression of other hydroxymethylation-related genes such as IDH1, TET1 and TET2 also decreased, but the difference did not achieve significance. Compared with IDH2 or U2AF1 wild-type MDS patients, U2AF1 expression and 5hmC level in patients with these two gene mutations were both significantly reduced.
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Affiliation(s)
- Huanchen Cheng
- Institute of Harbin Hematology & Oncology, The First Hospital of Harbin, Harbin, Heilongjiang, China
| | - Yu Liu
- Institute of Harbin Hematology & Oncology, The First Hospital of Harbin, Harbin, Heilongjiang, China
| | - Mei Cheng
- Institute of Harbin Hematology & Oncology, The First Hospital of Harbin, Harbin, Heilongjiang, China
| | - Wei Li
- Institute of Harbin Hematology & Oncology, The First Hospital of Harbin, Harbin, Heilongjiang, China
| | - Meng Sun
- Institute of Harbin Hematology & Oncology, The First Hospital of Harbin, Harbin, Heilongjiang, China
| | - Qinghua Tang
- Institute of Harbin Hematology & Oncology, The First Hospital of Harbin, Harbin, Heilongjiang, China
| | - Jun Ma
- Institute of Harbin Hematology & Oncology, The First Hospital of Harbin, Harbin, Heilongjiang, China
| | - Pu Li
- Institute of Harbin Hematology & Oncology, The First Hospital of Harbin, Harbin, Heilongjiang, China
| | - Tiejun Gong
- Institute of Harbin Hematology & Oncology, The First Hospital of Harbin, Harbin, Heilongjiang, China
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12
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U2AF1 and EZH2 mutations are associated with nonimmune hemolytic anemia in myelodysplastic syndromes. Blood Adv 2023; 7:1-8. [PMID: 36129843 DOI: 10.1182/bloodadvances.2022007504] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 08/10/2022] [Accepted: 09/05/2022] [Indexed: 01/18/2023] Open
Abstract
Hemolysis is a well-recognized but poorly characterized phenomenon in a subset of patients with myelodysplastic syndromes (MDS). Its pathobiological basis seems to underpin a nonimmune etiology whose clinical significance has not been adequately characterized. Hemolysis in MDS is often attributed to either ineffective intramedullary erythropoiesis or acquired hemoglobinopathies and red blood cell (RBC) membrane defects. These heterogeneous processes have not been associated with specific genetic subsets of the disease. We aimed to describe the prevalence of hemolysis among patients with MDS, their baseline characteristics, molecular features, and resulting impact on outcomes. We considered baseline serum haptoglobin <10 mg/dL a surrogate marker for intravascular hemolysis. Among 519 patients, 10% had hemolysis. The baseline characteristics were similar among both groups. Only 13% of patients with hemolysis were Coombs-positive, suggesting that hemolysis in MDS is largely not immune-mediated. Inferior survival trends were observed among lower-risk patients with MDS undergoing hemolysis. Decreased response rates to erythropoiesis-stimulating agents (ESA) and higher responses to hypomethylating agents (HMA) were also observed in the hemolysis group. U2AF1 and EZH2 hotspot mutations were more prevalent among those undergoing hemolysis (P < .05). U2AF1 mutations were observed in 30% of patients with hemolysis and occurred almost exclusively at the S34 hotspot. Somatic mutations encoding splicing factors may affect erythrocyte membrane components, biochemical properties, and RBC metabolic function, which underpin the development of atypical clones from erythroid precursors in MDS presenting with hemolysis. Future studies will explore the contribution of altered splicing to the development of acquired hemoglobinopathies.
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13
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Zhang Y, Wu J, Qin T, Xu Z, Qu S, Pan L, Li B, Wang H, Zhang P, Yan X, Gong J, Gao Q, Gale RP, Xiao Z. Comparison of the revised 4th (2016) and 5th (2022) editions of the World Health Organization classification of myelodysplastic neoplasms. Leukemia 2022; 36:2875-2882. [PMID: 36224330 PMCID: PMC9712101 DOI: 10.1038/s41375-022-01718-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 09/15/2022] [Accepted: 09/26/2022] [Indexed: 11/09/2022]
Abstract
We used data from 852 consecutive subjects with myelodysplastic neoplasms (MDS) diagnosed according to the 2016 (revised 4th) World Health Organization (WHO) criteria to evaluate the 2022 (5th) edition WHO classification of MDS. 30 subjects previously classified as MDS with an NPM1 mutation were re-classified as acute myeloid leukaemia (AML). 9 subjects previously classified as MDS-U were re-classified to clonal cytopenia of undetermined significance (CCUS). The remaining 813 subjects were diagnosed as: MDS-5q (N = 11 [1%]), MDS-SF3B1 (N = 70 [9%]), MDS-biTP53 (N = 53 [7%]), MDS-LB (N = 293 [36%]), MDS-h (N = 80 [10%]), MDS-IB1 (N = 161 [20%]), MDS-IB2 (N = 103 [13%]) and MDS-f (N = 42 [5%]) and MDS-biTP53 (N = 53 [7%]). 34 of these subjects came from the 53 (64%) MDS-biTP53 previously diagnosed as MDS-EB. Median survival of subjects classified as MDS using the WHO 2022 criteria was 45 months (95% Confidence Interval [CI], 34, 56 months). Subjects re-classified as MDS-biTP53 and MDS-f had significantly briefer median survivals compared with other MDS sub-types (10 months, [8, 12 months] and 15 months [8, 23 months]). In conclusion, our analyses support the refinements made in the WHO 2022 proposal.
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Affiliation(s)
- Yudi Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Junying Wu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Tiejun Qin
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Zefeng Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Shiqiang Qu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Lijuan Pan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Bing Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Huijun Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Hematologic Pathology Center, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Peihong Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Hematologic Pathology Center, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Xin Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Jingye Gong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Qingyan Gao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Robert Peter Gale
- Haematology Research Centre, Department of Immunology and Inflammation, Imperial College London, London, UK
| | - Zhijian Xiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- Hematologic Pathology Center, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
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14
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Abstract
Myelodysplastic syndromes (MDS) are a family of myeloid cancers with diverse genotypes and phenotypes characterized by ineffective haematopoiesis and risk of transformation to acute myeloid leukaemia (AML). Some epidemiological data indicate that MDS incidence is increasing in resource-rich regions but this is controversial. Most MDS cases are caused by randomly acquired somatic mutations. In some patients, the phenotype and/or genotype of MDS overlaps with that of bone marrow failure disorders such as aplastic anaemia, paroxysmal nocturnal haemoglobinuria (PNH) and AML. Prognostic systems, such as the revised International Prognostic Scoring System (IPSS-R), provide reasonably accurate predictions of survival at the population level. Therapeutic goals in individuals with lower-risk MDS include improving quality of life and minimizing erythrocyte and platelet transfusions. Therapeutic goals in people with higher-risk MDS include decreasing the risk of AML transformation and prolonging survival. Haematopoietic cell transplantation (HCT) can cure MDS, yet fewer than 10% of affected individuals receive this treatment. However, how, when and in which patients with HCT for MDS should be performed remains controversial, with some studies suggesting HCT is preferred in some individuals with higher-risk MDS. Advances in the understanding of MDS biology offer the prospect of new therapeutic approaches.
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15
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Wu J, Zhang Y, Qin T, Xu Z, Qu S, Pan L, Li B, Jia Y, Li C, Wang H, Gao Q, Cai W, Gong J, Zhao S, Li F, Gale RP, Xiao Z. IPSS-M has greater survival predictive accuracy compared with IPSS-R in persons ≥ 60 years with myelodysplastic syndromes. Exp Hematol Oncol 2022; 11:73. [PMID: 36253799 PMCID: PMC9578211 DOI: 10.1186/s40164-022-00328-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 09/29/2022] [Indexed: 11/10/2022] Open
Abstract
There are considerable new data on mutation topography in persons with myelodysplastic syndromes (MDS). These data have been used to update conventional risk models such as the Revised International Prognostic Scoring System (IPSS-R). Whether the molecular IPSS (IPSS-M) which includes these data improves survival prediction accuracy is untested. To answer this question, we compared survival prediction accuracies of the IPSS-R and IPSS-M in 852 consecutive subjects with de novo MDS. Concordance statistics (C-statistics) of the IPSS-R and IPSS-M in the entire cohort were similar, 0.67 (95% Confidence Interval [CI] 0.64, 0.71) and 0.68 (0.64, 0.71). Average numbers of mutations and of IPSS-M related mutations were greater in persons ≥ 60 years (2.0 [Interquartile Range [IQR], 1, 3] vs. 1.6 [0, 2], P = 0.003; 1.6 [0, 2] vs. 1.3 [0, 2], P = 0.006). Subjects ≥ 60 years had a higher incidence of mutations in RUNX1, TP53, TET2, SRSF2, DNMT3A, STAG2, EZH2 and DDX41. In contrast, mutations in U2AF1 were more common in persons < 60 years. Next we tested survival prediction accuracy based on age < or ≥ 60 years. C-statistics of the IPSS-R and IPSS-M in subjects ≥ 60 years were 0.66 (0.61, 0.71) and 0.69 (0.64, 0.73) whereas in subjects < 60 years they were 0.67 (0.61, 0.72) and 0.65 (0.59, 0.71). These data indicate an advantage for the IPSS-M over the IPSS-R in subjects ≥ 60 years but not in those < 60 years probably because of a great frequency of mutations correlated with survival in those ≥ 60 years.
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Affiliation(s)
- Junying Wu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Yudi Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Tiejun Qin
- MDS and MPN Centre, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Zefeng Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.,MDS and MPN Centre, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Shiqiang Qu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.,MDS and MPN Centre, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Lijuan Pan
- MDS and MPN Centre, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Bing Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.,MDS and MPN Centre, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Yujiao Jia
- Hematologic Pathology Centre, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Chengwen Li
- Hematologic Pathology Centre, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Huijun Wang
- Hematologic Pathology Centre, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Qingyan Gao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.,MDS and MPN Centre, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Wenyu Cai
- Hematologic Pathology Centre, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Jingye Gong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Songyang Zhao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Fuhui Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Robert Peter Gale
- Centre for Hematology, Department of Immunology and Inflammation, Imperial College of Science, Technology and Medicine, London, UK
| | - Zhijian Xiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China. .,MDS and MPN Centre, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China. .,Hematologic Pathology Centre, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
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[Risk factors for leukemia transformation in patients with myelodysplastic syndromes]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2022; 43:818-825. [PMID: 36709195 PMCID: PMC9669629 DOI: 10.3760/cma.j.issn.0253-2727.2022.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Objective: To explore the risk factors in leukemia transformation (LT) in those with myelodysplastic syndromes (MDS) . Methods: From January 2012 to December 2020,data on 320 patients with newly diagnosed primary MDS were gathered from the MDS center. The clinical features and molecular characteristics are explored. Additionally, a retrospective analysis of risk factors for the development of acute leukemia from MDS was done. Results: The median follow-up was13.6 (0.4-107.3) months. 23.4% (75/320) of the MDS patients had LT group. Significant differences between the LT group and non-LT group can be seen in age (P<0.001) , bone marrow blast percentage (P<0.001) , bone marrow fibrosis (P=0.046) , WHO classification (P<0.001) , IPSS-R (P<0.001) and IPSS-R karyotype group (P=0.001) . The median number of mutation of LT group was 1 (1, 3) , that in non-LT group was 1 (0, 2) ,which had a statistical difference (P=0.003) .At the time of the initial diagnosis of MDS, the LT group had higher rates of the TP53 mutation (P=0.034) , DNMT3A mutation (P=0.026) , NRAS mutation (P=0.027) and NPM1 mutation (P=0.017) . Compared with the mutations at first diagnosis and LT of six patients, the number of mutations increased and the variant allele frequencies (VAF) increased significantly in LT patients. Higher bone marrow blast percentage (Refer to <5% , 5% -10% : HR=4.587, 95% CI 2.214 to 9.504, P<0.001, >10% : HR=9.352, 95% CI 4.049 to 21.600, P<0.001) , IPSS-R cytogenetic risk groups (HR=2.603, 95% CI 1.229-5.511, P=0.012) , DNMT3A mutation (HR=4.507, 95% CI 1.889-10.753, P=0.001) , and NPM1 mutation (HR=3.341, 95% CI 1.164-9.591, P=0.025) were all independently associated with LT in MDS patients, according to results of multivariate Cox regression. Conclusion: Bone marrow blast percentage, IPSS-R cytogenetic risk groups, DNMT3A mutation, and NPM1 mutation are independent risk factors in LT for MDS patients.
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The Biological and Clinical Consequences of RNA Splicing Factor U2AF1 Mutation in Myeloid Malignancies. Cancers (Basel) 2022; 14:cancers14184406. [PMID: 36139566 PMCID: PMC9496927 DOI: 10.3390/cancers14184406] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 09/04/2022] [Accepted: 09/06/2022] [Indexed: 11/24/2022] Open
Abstract
Simple Summary U2 small nuclear RNA auxiliary factor 1 (U2AF1) is one of the most important RNA splicing genes involved in regulating the alternative splicing of pre-mRNA. U2AF1 mutation is a genetic driver event in the initiation of myelodysplastic syndromes (MDSs) and frequently occurs in myeloid malignancies. U2AF1 mutation can severely impair hematopoiesis, drive tumor progression, adversely affect disease prognosis, and promote leukemic transformation. This review summarizes the biological and clinical implications of the oncogenic role of U2AF1 mutation in myeloid tumors. Our work provides important and comprehensive insights into the development of the U2AF1 mutation as a novel prognostic biomarker and therapeutic target for myeloid malignancies. Abstract Mutations of spliceosome genes have been frequently identified in myeloid malignancies with the large-scale application of advanced sequencing technology. U2 small nuclear RNA auxiliary factor 1 (U2AF1), an essential component of U2AF heterodimer, plays a pivotal role in the pre-mRNA splicing processes to generate functional mRNAs. Over the past few decades, the mutation landscape of U2AF1 (most frequently involved S34 and Q157 hotspots) has been drawn in multiple cancers, particularly in myeloid malignancies. As a recognized early driver of myelodysplastic syndromes (MDSs), U2AF1 mutates most frequently in MDS, followed by acute myeloid leukemia (AML) and myeloproliferative neoplasms (MPNs). Here, for the first time, we summarize the research progress of U2AF1 mutations in myeloid malignancies, including the correlations between U2AF1 mutations with clinical and genetic characteristics, prognosis, and the leukemic transformation of patients. We also summarize the adverse effects of U2AF1 mutations on hematopoietic function, and the alterations in downstream alternative gene splicing and biological pathways, thus providing comprehensive insights into the roles of U2AF1 mutations in the myeloid malignancy pathogenesis. U2AF1 mutations are expected to be potential novel molecular markers for myeloid malignancies, especially for risk stratification, prognosis assessment, and a therapeutic target of MDS patients.
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Luo B, Dong F, Qin T, Zhang Q, Bai H, Wang J, Jia Y, Ma S, Jiang E, Cheng T, Xiao Z, Ema H. Myelodysplastic syndromes are multiclonal diseases derived from hematopoietic stem and progenitor cells. Exp Hematol Oncol 2022; 11:28. [PMID: 35578364 PMCID: PMC9109331 DOI: 10.1186/s40164-022-00280-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 04/16/2022] [Indexed: 11/25/2022] Open
Abstract
Myelodysplastic syndromes (MDS) are generally considered as a group of clonal diseases derived from hematopoietic stem cells, but a number of studies have suggested that they are derived from myeloid progenitor cells. We aimed to identify the cell of origin in MDS by single-cell analyses. Targeted single-cell RNA sequencing, covering six frequently mutated genes (U2AF1, SF3B1, TET2, ASXL1, TP53, and DNMT3A) in MDS, was developed and performed on individual cells isolated from the CD34+ and six lineage populations in the bone marrow of healthy donors (HDs) and patients with MDS. The detected mutations were used as clonal markers to define clones. By dissecting the distribution of clones in six lineages, the clonal origin was determined. We identified three mutations both in HDs and patients with MDS, termed clonal hematopoiesis (CH) mutations. We also identified fifteen mutations only detected in patients with MDS, termed MDS mutations. Clonal analysis showed that CH clones marked by CH mutations and MDS clones marked by MDS mutations were derived from hematopoietic stem cells as well as various hematopoietic progenitor cells. Most patients with MDS showed the chimeric state with CH clones and MDS clones. Clone size analysis suggested that CH mutations may not contribute to clonal expansion of MDS. In conclusion, MDS comprise multiple clones derived from hematopoietic stem and progenitor cells.
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Affiliation(s)
- Bingqing Luo
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Fang Dong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Tiejun Qin
- MDS and MPN Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Qingyun Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Haitao Bai
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Jinhong Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Yujiao Jia
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Shihui Ma
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Erlie Jiang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Tao Cheng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Zhijian Xiao
- MDS and MPN Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Hideo Ema
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
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Liu X, Zou Y, Zhang L, Guo Y, Chen Y, Yang W, Chen X, Wang S, Zhang Y, Ruan M, Chang L, Zhang X, Zhao B, Zhang R, Zhang A, Liu L, Zhang L, Yi M, Zhu X. A Novel Risk Defining System for Pediatric T-Cell Acute Lymphoblastic Leukemia From CCCG-ALL-2015 Group. Front Oncol 2022; 12:841179. [PMID: 35296004 PMCID: PMC8920043 DOI: 10.3389/fonc.2022.841179] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 02/02/2022] [Indexed: 02/03/2023] Open
Abstract
ObjectiveT-cell acute lymphoblastic leukemia (T-ALL) is a rare hematological malignancy with a poor prognosis. The present study aims to identify the precise risk grouping of children with T-ALL.MethodsWe analyzed the outcomes for 105 consecutive patients treated using the Chinese Children’s Cancer Group ALL-2015 (CCCG-ALL-2015) protocol registered with the Chinese Clinical Trial Registry (ChiCTR-IPR-14005706) between 2015 and 2020 in our center. Nine out of 21 clinical and biological indicators were selected for the new scoring system based on the analysis in this study.ResultsThe 5-year overall survival (OS), event-free survival (EFS), and disease-free survival (DFS) rates for the 105 patients were 83.1 ± 4.8%, 72.4 ± 5.6%, and 78.4 ± 3.6%, respectively. Based on the new scoring system, 90 evaluable children were regrouped into low-risk (n=22), intermediate-risk (n=50), and high-risk (n=18) groups. The 5-year survival (OS, EFS, and RFS) rates for all patients in the low-risk group were 100%, significantly higher than the rates for those in the intermediate-risk group (91.2 ± 5.2%, 74.4 ± 8.6%, and 82.5 ± 6.2%, respectively) and high-risk group (59.0 ± 13.2%, 51.9 ± 12.4%, and 51.9 ± 12.4%, respectively) (all P values < 0.01).ConclusionThe CCCG-ALL-2015 program significantly improved the treatment outcomes for childhood T-ALL as compared with the CCCG-ALL-2008 protocol. Our new refined risk grouping system showed better stratification among pediatric T-ALL patients and better potential in evaluating therapeutic efficacy.
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Affiliation(s)
- Xiaoming Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yao Zou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Li Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Ye Guo
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yumei Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Wenyu Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Xiaojuan Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Shuchun Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yingchi Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Min Ruan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Lixian Chang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Xiaoyan Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Beibei Zhao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Ranran Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Aoli Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Lipeng Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Luyang Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Meihui Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Xiaofan Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
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Zhang L, Shi Y, Chen Y, Tao S, Shi W, He Z, Chen K, Wang C, Yu L. The genetic analysis of Chinese patients with clonal cytopenias using targeted next-generation sequencing. Mol Cytogenet 2021; 14:52. [PMID: 34794475 PMCID: PMC8600778 DOI: 10.1186/s13039-021-00572-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 11/03/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Clonal hematopoiesis (CH) can be found in various myeloid neoplasms (MN), such as myelodysplastic syndromes (MDS), myelodysplastic syndromes/myeloproliferative neoplasms (MDS/MPN), also in pre-MDS conditions. METHODS Cytogenetics is an independent prognostic factor in MDS, and fluorescence in-situ hybridization (FISH) can be used as an adjunct to karyotype analysis. In the past 5 years, only 35 of 100 newly diagnosed MDS and MDS/MPN patients were identified abnormalities, who underwent the FISH panel. In addition, we examined a cohort of 51 cytopenic patients suspected MDS or MDS/MPN with a 20-gene next generation sequencing (NGS), including 35 newly diagnosed MN patients and 16 clonal cytopenias of undetermined significance (CCUS) patients. RESULTS Compared with the CCUS group, the MN group had higher male ratio (22/13 vs 10/6), cytogenetics abnormalities rate (41.4% vs 21.4%) and frequency of a series of mutations, such as ASXL1 (28.6% vs 25%), U2AF1 (25.7% vs 25%), RUNX1 (20% vs 0.0%); also, higher adverse mutations proportion (75% vs 85.2%), and double or multiple mutations (54.3% vs 43.75%). There were 7 MN patients and 4 CCUS patients who experienced cardio-cerebrovascular embolism events demonstrated a significant difference between the two groups (25% vs 20%). Ten of the 11 patients had somatic mutations, half had DNA methylation, while the other half had RNA splicing. Additionally, six patients had disease transformation, and four patients had mutated U2AF1, including two CCUS cases and two MDS-EB cases. Following up to January 2021, there was no significant difference in over survival between the CCUS and MN groups. CONCLUSION NGS facilitates the diagnosis of unexplained cytopenias. The monitoring and management of CCUS is necessary, also cardio-cerebrovascular embolism events in patients with CH need attention in the clinical practice.
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Affiliation(s)
- Lijuan Zhang
- Department of Hematology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, 223300, Jiangsu, People's Republic of China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China
| | - YuYe Shi
- Department of Hematology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, 223300, Jiangsu, People's Republic of China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China
| | - Yue Chen
- Department of Hematology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, 223300, Jiangsu, People's Republic of China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China
| | - Shandong Tao
- Department of Hematology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, 223300, Jiangsu, People's Republic of China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China
| | - Wenting Shi
- Department of Hematology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, 223300, Jiangsu, People's Republic of China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China
| | - Zhengmei He
- Department of Hematology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, 223300, Jiangsu, People's Republic of China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China
| | - Kankan Chen
- Department of Hematology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, 223300, Jiangsu, People's Republic of China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China
| | - Chunling Wang
- Department of Hematology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, 223300, Jiangsu, People's Republic of China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China
| | - Liang Yu
- Department of Hematology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, 223300, Jiangsu, People's Republic of China. .,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China.
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21
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Liu M, Wang F, Zhang Y, Chen X, Cao P, Nie D, Fang J, Wang M, Liu M, Liu H. Gene mutation spectrum of patients with myelodysplastic syndrome and progression to acute myeloid leukemia. Int J Hematol Oncol 2021; 10:IJH34. [PMID: 34540199 PMCID: PMC8446821 DOI: 10.2217/ijh-2021-0002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 05/21/2021] [Indexed: 01/01/2023] Open
Abstract
Aim: This study aimed to investigate the regularity of gene mutations in patients with myelodysplastic syndrome (MDS) and in those that progressed to acute myeloid leukemia (MDS/AML). Patients & methods: High-throughput sequencing technology was used to detect gene mutations in 99 newly diagnosed patients with MDS or MDS/AML. Results: Gene mutations were detected in 88 patients. The mutation incidence in the MDS/AML group was significantly higher than that in the MDS group. Statistically significant differences were observed between the MDS with refractory anemia (MDS-RA) and MDS-RA with excess blasts groups and between the MDS/AML and MDS-RA groups. Conclusion: Our data demonstrate that there is a cumulative accumulation of gene mutations, especially in transcription factor genes, during disease progression in MDS and MDS/AML. This study investigated the regularity of gene mutations in patients with myelodysplastic syndrome (MDS) and in those that have progressed to acute myeloid leukemia (MDS/AML). High-throughput sequencing was used to detect mutations in 58 genes with known clinical significance in 99 patients who were newly diagnosed with MDS or MDS/AML. A total of 28 mutated genes and 214 mutations were detected in 88 (88.9%) patients. The most frequently mutated gene was U2AF1 (13.55%; 29/214), followed by ASXL1 (10.28%; 22/214), TP53 (7.09%; 15/214), and RUNX1 (7.09%; 15/214). The mutation rate in the MDS/AML group was significantly higher than in the MDS group (100 vs 84.51%; p = 0.031). The average number of mutations per patient was 1.40, 2.20 and 2.64 in the MDS-refractory anemia (RA), MDS-RA with excess blast (RAEB) and MDS/AML groups, respectively. Statistically significant differences were observed between the MDS-RA and MDS-RAEB groups (p = 0.031) and between the MDS/AML and MDS-RA groups (p = 0.003). Signal transduction gene mutations were more frequent in the MDS/AML than in the MDS group (50% vs 22.54%; p = 0.014), especially in the FLT3 (14.29% vs 0; p = 0.005) and PTPN11 (17.86 vs 2.82%; p = 0.018) genes. Statistically significant (p < 0.05) correlations were found in 12 mutated gene combinations. TP53 mutations were mutually exclusive with RNA splicing factor gene mutations (p = 0.001). U2AF1 S34 mutations were associated with trisomy 8 (22.22 vs 5.97%; p = 0.03), and TP53 mutations were associated with complex karyotypes. Our data demonstrate that there is cumulative accumulation of gene mutations, especially in transcription factor genes, during disease progression in MDS and MDS/AML. The data also indicate there are synergistic pathogenicity and mutually exclusive effects among gene mutations and chromosomal abnormalities.
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Affiliation(s)
- Ming Liu
- Division of Pathology & Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang 065201, China
| | - Fang Wang
- Division of Pathology & Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang 065201, China
| | - Yang Zhang
- Division of Pathology & Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang 065201, China
| | - Xue Chen
- Division of Pathology & Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang 065201, China
| | - Panxiang Cao
- Division of Pathology & Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang 065201, China
| | - Daijing Nie
- Division of Pathology & Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang 065201, China
| | - Jiancheng Fang
- Division of Pathology & Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang 065201, China
| | - Mingyu Wang
- Division of Pathology & Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang 065201, China
| | - Mingyue Liu
- Division of Pathology & Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang 065201, China
| | - Hongxing Liu
- Division of Pathology & Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang 065201, China.,Division of Pathology & Laboratory Medicine, Beijing Lu Daopei Hospital, Beijing 100176, China.,Beijing Lu Daopei Institute of Hematology, Beijing 100176, China
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Zhang YD, Xu ZF, Qin TJ, Li B, Qu SQ, Pan LJ, Jiao M, Xiao ZJ. [Prognostic factors of cyclosporine A combined with danazol with or without thalidomide in myelodysplastic syndrome treatment with low-percentage bone marrow blasts]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2021; 42:376-382. [PMID: 34218579 PMCID: PMC8293001 DOI: 10.3760/cma.j.issn.0253-2727.2021.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Indexed: 11/23/2022]
Abstract
Objective: To explore the outcome of cyclosporine A (CsA) combined with danazol with or without thalidomide regimen for myelodysplastic syndrome (MDS) with low-percentage bone marrow blasts and predictive factors for treatment response. Methods: Data of 115 subjects who were newly diagnosed with primary MDS with low-percentage bone marrow blasts and were treated with CsA combined with danazol with or without thalidomide from December 2011 to December 2019 in our center were collected. Their clinical features, efficacy, and predictive factors of efficacy were retrospectively analyzed. A model for predicting this response was developed. Results: A total of 55 subjects responded (47.8%) , including 11 complete responses and 44 hematologic improvements. Fifty-two patients (52/105, 49.5%) achieved erythrocyte response; 35 (35/86, 40.7%) , platelet response; and 14 (14/40, 35%) , neutrophil response. Of 29 subjects (24.1%) , 7 who were red blood cell (RBC) transfusion-dependent became independent of transfusion. The median response duration was 20 months (range, 3-84 months) . In the univariate analysis, patients <0 years had a higher response rate than those ≥60 years (52.5% vs 22.2%, P=0.018) . Contrarily, the response rate was substantially decreased in patients with RBC transfusion dependence compared with those without RBC transfusion dependence (24.1% vs 55.8%, P=0.003) , as well as in patients with the mutated U2AF1 compared with those with the wild-type U2AF1 (26.1% vs 53.2%, P=0.020) . In multivariable analyses, age <0 years (OR=4.302, 95% CI 1.245-14.820, P=0.021) , RBC transfusion dependence (OR=3.774, 95% CI 1.400-10.177, P=0.009) , and U2AF1 mutation (OR=3.414, 95% CI 1.168-9.978, P=0.025) were significantly correlated with response. Variables that independently predicted the response were combined to generate the predictive model. According to the model, the overall response rates of patients with 0, 1, 2, and 3 risk factors were 65%, 30%-35%, 10%-15%, and 3%, respectively. Conclusion: CsA combined with danazol with or without thalidomide regimen could improve cytopenia symptoms in patients with MDS with low-percentage bone marrow blasts. At age <60 years, no transfusion dependence of RBC and wild-type U2AF1 mutation is a favorable prognostic factor.
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Affiliation(s)
- Y D Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Z F Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - T J Qin
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - B Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - S Q Qu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L J Pan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - M Jiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Z J Xiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
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Wu JY, Li B, Jia YJ, Zhang PH, Xu ZF, Qin TJ, Qu SQ, Pan LJ, Liu JQ, Yan X, Zhang YD, Chen J, Gong JY, Xiao ZJ. [Genetic characteristics and prognostic values of RAS mutations in patients with myelofibrosis]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2020; 41:989-995. [PMID: 33445845 PMCID: PMC7840545 DOI: 10.3760/cma.j.issn.0253-2727.2020.12.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Indexed: 02/06/2023]
Abstract
Objective: To explore the genetic characteristics, clinical features, and prognostic values of RAS mutations in patients with myelofibrosis (MF) . Methods: We analyzed 112-gene targeted sequencing data from 226 patients who had a diagnosis of either primary myelofibrosis (PMF) or post-polycythemia vera/post-essential thrombocythemia (post-PV MF and post-ET MF) from December 2011 to December 2019. A retrospective analysis of the genetic characteristics, clinical features, and prognosis of RAS mutations was performed. Results: Among 266 patients diagnosed PMF or post-PV/ET MF, RAS mutations were found in 14 (6.2%) cases, including 9 (4.0%) cases of NRAS mutations, 8 (3.5%) cases of KRAS mutations, and 3 (1.3%) cases of both NRAS and KRAS mutations. All of the NRAS mutations were located in codons 12 and 13. The median VAFs of RAS mutations were significantly lower than those of the driver mutations, confirming that they represent sub-clonal events that are acquired during the disease course. SETBP1, SRSF2, and MPL tended to be clustered with RAS mutations. Patients with RAS mutations had a higher number of additional oncogenic mutations (median, 3.36 vs 1.17, P<0.001) . RAS mutations had a statistically significant association with elevated monocyte cell counts (P=0.003) , lower platelet counts (P=0.026) , higher bone marrow blasts (P=0.022) , splenomegaly (P=0.005) , and very high-risk (VHR) karyotype abnormality percentage (P=0.031) . In univariate analysis, the OS of patients with NRAS mutations were significantly inferior in the entire MF and PMF cohorts (P=0.001, P=0.008) . In a multivariate model, NRAS retained an independent negative prognostic factor in PMF. Conclusion: RAS gene mutations were constantly related to elevated monocyte cell counts, lower platelet counts, higher bone marrow blasts, and VHR karyotype abnormality percentage that usually defined high-risk disease and often occurred as sub-clonal events. NRAS mutation is an independent poor prognostic factor in PMF.
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Affiliation(s)
- J Y Wu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - B Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y J Jia
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - P H Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Z F Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - T J Qin
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - S Q Qu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L J Pan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - J Q Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - X Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y D Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - J Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - J Y Gong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Z J Xiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
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Differential U2AF1 mutation sites, burden and co-mutation genes can predict prognosis in patients with myelodysplastic syndrome. Sci Rep 2020; 10:18622. [PMID: 33122737 PMCID: PMC7596495 DOI: 10.1038/s41598-020-74744-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 09/30/2020] [Indexed: 12/16/2022] Open
Abstract
To investigate the U2AF1 gene mutation site, mutation load and co-mutations genes in patients with myelodysplastic syndrome (MDS) and their effects on prognosis. Gene mutation detection by next-generation sequence and related clinical data of 234 MDS patients were retrospectively collected and analyzed for the relationship between the clinical characteristics, treatment efficacy and prognosis of U2AF1 gene mutation. Among the 234 MDS patients, the U2AF1 gene mutation rate was 21.7% (51 cases), and the median variant allele frequency was 39.5%. Compared with the wild type, the U2AF1 mutant had a higher incidence of chromosome 8 aberration, and was positively correlated with the occurrence of ASXL1, RUNX1, SETBP1 gene mutation, negatively correlated with SF3B1, NPM1 genes mutation (p < 0.05). The most common mutation site of U2AF1 was S34F (32 cases), while U2AF1 Q157P site mutations had a higher incidence of chromosome 7 abnormalities (p = 0.003). The U2AF1 gene mutation more frequently coincided with signal pathway related gene mutations (p = 0.043) with a trend of shortened overall survival. Among patients with U2AF1 gene mutations, those with ASXL1 mutations were prone to develop into acute myeloid leukemia, those with RUNX1 mutations had an increased risk of relapse, and those with TET2 mutations had higher 1-year survival rate. Compared with the patient group of lower mutation load (VAF ≤ 40%), the group with higher mutation load of U2AF1 (VAF > 40%) had a significantly lower 1-year survival rate (46.1% and 80.5%, p = 0.027). The criteria of U2AF1 VAF > 40% is an independent indicator for poor prognosis of MDS patients. VAF > 40% of U2AF1 is an independent factor of short OS in MDS patients. MDS patients with a mutation in the Q157P site of U2AF1 and a higher U2AF1 mutation load suggests poor prognosis, and co-mutated genes in U2AF1 can affect disease progression and prognosis.
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25
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Huang HJ, Li B, Qin TJ, Xu ZF, Hu NB, Pan LJ, Qu SQ, Liu D, Zhang YD, Xiao ZJ. [Molecular features and prognostic value of RAS mutations in patients with myelodysplastic syndromes]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2020; 41:723-730. [PMID: 33113603 PMCID: PMC7595862 DOI: 10.3760/cma.j.issn.0253-2727.2020.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Indexed: 11/05/2022]
Abstract
Objective: To explore the molecular features and prognostic value of RAS mutations in patients with myelodysplastic syndromes (MDS) . Methods: 112-gene targeted sequencing was conducted to detect RAS mutations in 776 patients with newly diagnosed primary MDS from December 2011 to December 2018. The mutual exclusivity and co-occurrence in gene mutations and clonal architecture were explored. Moreover, the prognostic significance of RAS mutations in MDS was analyzed. Results: RAS gene mutations were found in 52 (6.7% ) cases, 38 (4.9% ) of whom harbored NRAS mutation, 18 (2.3% ) KRAS mutation, and 4 (0.5% ) both NRAS and KRAS mutations. All the NRAS mutations and 65% of the KRAS mutations were located in codons 12, 13, and 61. PTPN11, FLT3, U2AF1, RUNX1, WT1, ETV6, and NPM1 mutations were enriched in patients with RAS mutations (Q<0.05) . Around 80% of RAS mutations represented subclonal lesions in patients who harbored at least two different mutations. Patients with RAS mutations were more frequently diagnosed with MDS with excess blast (MDS-EB) (82.7% vs. 35.2% , P<0.001) and had higher levels of white blood cell count (4.33×10(9)/L vs. 2.71×10(9)/L, P<0.001) , neutrophil absolute count (2.13×10(9)/L vs. 1.12×10(9)/L, P<0.001) , and bone marrow blast percentage (7% vs. 2% , P<0.001) but lower levels of platelet count (48×10(9)/L vs. 62×10(9)/L, P=0.048) . RAS mutations were correlated with higher-risk categories in the Revised International Prognostic Scoring System (IPSS-R) (71.1% vs. 37.9% , P<0.001) . The median overall survival of patients with NRAS mutations was shorter than the others (P=0.011) , while the significance was lost in the multivariable model. Conclusion: RAS gene mutations always occurred in the late-stage MDS and co-occurred with other signal transduction- and transcription factor-related gene mutations. PTPN11, a RAS pathway-related gene, is an independent poor prognostic factor in MDS patients.
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Affiliation(s)
- H J Huang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - B Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - T J Qin
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Z F Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - N B Hu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L J Pan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - S Q Qu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - D Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y D Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Z J Xiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
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Cai YN, Xu ZF, Li B, Qin TJ, Pan LJ, Qu SQ, Hu NB, Liu D, Huang HJ, Shi ZX, Zhang YD, Xiao ZJ. [Features and clinical significance of gene mutations in patients with myelodysplastic syndromes with ring sideroblasts]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2020; 41:379-386. [PMID: 32536134 PMCID: PMC7342062 DOI: 10.3760/cma.j.issn.0253-2727.2020.05.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Objective: To explore the features and clinical significance of gene mutations in patients with myelodysplastic syndromes with ring sideroblasts (MDS-RS) . Methods: A total of 255 newly diagnosed primary MDS-RS patients were retrospectively reviewed from our center from January2001 to June 2019. SF3B1 gene mutations were detected by Sanger sequencing in 129 patients, and next generation sequencing (NGS) was performed in the other 126 patients using a set of selected 112-genes. Results: A total of 193 (75.7%) patients presented with SF3B1 mutation, predominantly mutant at amino acid position 700 (K700E) (n=147, 76.2%) . Non-SF3B1 gene mutations were TET2 (16.7%) , ASXL1 (14.3%) , U2AF1 (11.1%) , TP53 (7.9%) , SETBP1 (6.3%) , and RUNX1 (6.3%) . RS 5%-<15% patients had a higher SETBP1 mutation frequency than RS≥15% patients (21.4% vs 4.5%, P=0.044) . Mutation frequencies of other genes were similar in both groups (all P>0.05) . SF3B1 variant allele frequencies (VAF) had positive correlation with marrow RS percentage but without statistical significance in RS 5%-<15% group (P=0.078, r=0.486) . SF3B1 mutant patients presented with higher marrow RS percentage compared with wild-type patients[40.0% (15.0%-80.0%) vs 25.5% (15.0%-82.0%) , P<0.001], and SF3B1 VAF positively correlated with RS percentage (P=0.009, rs=0.261) in RS≥15% group. Age, ANC, PLT, mean RBC corpuscular volume, RS percentage, IPSS-R cytogenetics, and IPSS-R risk score were significantly different between patients with SF3B1 mutations and wild-type SF3B1 (all P<0.05) . Multivariable survival analyses adjusted by age and IPSS-R cytogenetics revealed that SF3B1 mutation was an independent favorable prognostic factor (HR=0.265, 95% CI 0.077-0.917, P=0.036) , and TP53 mutation was an adverse variable independent of SF3B1 mutation (HR=6.272, 95% CI 1.725-22.809, P=0.005) . According to the mutant status of SF3B1 and TP53, MDS-RS patients were categorized into 4 groups, namely, with SF3B1 and TP53 mutation, with wild-type SF3B1 and TP53, with wild-type SF3B1 but TP53 mutation, and with SF3B1 mutation but wild-type TP53. There was a significant difference for OS among these 4 groups (P<0.001) . The former 3 groups showed no significant difference in OS in multiple comparisons. However, the SF3B1 mutation but wild-type TP53 group had a better OS than wild-type SF3B1 but TP53 mutation group and wild-type SF3B1 and TP53 group, whereas a similar OS compared with SF3B1 and TP53 mutation group. Conclusion: SF3B1 mutations were prevalent in MDS-RS patients with the most common mutation at amino acid position 700 (K700E) . SF3B1 mutation was an independent favorable prognostic variable, whereas TP53 mutation was an independent adverse variable. SF3B1 mutation could coordinate with TP53 mutation for more sophisticated prognosis stratification in MDS-RS patients.
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Affiliation(s)
- Y N Cai
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Tianjin 300020, China
| | - Z F Xu
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Tianjin 300020, China
| | - B Li
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Tianjin 300020, China
| | - T J Qin
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Tianjin 300020, China
| | - L J Pan
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Tianjin 300020, China
| | - S Q Qu
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Tianjin 300020, China
| | - N B Hu
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Tianjin 300020, China
| | - D Liu
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Tianjin 300020, China
| | - H J Huang
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Tianjin 300020, China
| | - Z X Shi
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Tianjin 300020, China
| | - Y D Zhang
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Tianjin 300020, China
| | - Z J Xiao
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Tianjin 300020, China
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Qu S, Li B, Qin T, Xu Z, Pan L, Hu N, Huang G, Peter Gale R, Xiao Z. Molecular and clinical features of myeloid neoplasms with somatic DDX41 mutations. Br J Haematol 2020; 192:1006-1010. [PMID: 32307695 DOI: 10.1111/bjh.16668] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 03/24/2020] [Indexed: 12/13/2022]
Abstract
We screened 47 subjects with DDX41 variants among 1529 subjects with myeloid neoplasms. The most common germline variants included Splice c.935 + 4A>T, p.T360Ifs*33, p.V152G, p.S217Ifs*4, p.R311* and p.R369*. Except for the p.R369*, no other variants have been previously reported. Clinical covariates of subjects with simple DDX41 somatic variants and germline/somatic biallelic variants are similar. The two-year overall survival (OS) of subjects with DDX41 variants was 85%. Overall response rate to demethylation therapy in subjects with DDX41 variants was 69%. The response did not correlate with the presence of a germline variant.
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Affiliation(s)
- Shiqiang Qu
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.,State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.,National Clinical Research Centre for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Bing Li
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.,State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.,National Clinical Research Centre for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Tiejun Qin
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.,State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Zefeng Xu
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.,State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.,National Clinical Research Centre for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Lijuan Pan
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.,State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Naibo Hu
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.,State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Gang Huang
- Divisions of Pathology and Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Robert Peter Gale
- Haematology Section, Department of Immunology and Inflammation, Imperial College London, London, UK
| | - Zhijian Xiao
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.,State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.,National Clinical Research Centre for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
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28
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Luo BQ, Dong F, Ema MXF. [Clonal evolution of myelodysplastic syndrome]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2020; 40:1060-1064. [PMID: 32023745 PMCID: PMC7342683 DOI: 10.3760/cma.j.issn.0253-2727.2019.12.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Affiliation(s)
- B Q Luo
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Hematological disorders, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - F Dong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Hematological disorders, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - M X F Ema
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Hematological disorders, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
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Shi ZX, Qin TJ, Xu ZF, Huang HJ, Li B, Qu SQ, Hu NB, Pan LJ, Liu D, Cai YN, Zhang YD, Xiao ZJ. [Mean corpuscular volume ≤100 fl was an independent prognostic factor in patients with myelodysplastic syndrome and bone marrow blast<5 percent]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2020; 41:28-33. [PMID: 32023751 PMCID: PMC7357904 DOI: 10.3760/cma.j.issn.0253-2727.2020.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Indexed: 11/05/2022]
Abstract
Objective: To explore the prognostic effects of mean corpuscular volume (MCV) in patients with myelodysplastic syndromes (MDS) . Methods: 321 newly diagnosed, untransfused primary MDS patients who administered from December 2009 to December 2017 were enrolled. The association of MCV with prognosis and several clinical features and genetic mutations were analyzed. Results: Patients were divided into MCV≤100 fl (n=148) and MCV>100 fl (n=173) cohorts. Median overall survival of patients with MCV≤100 fl was shorter than their counterparts (27 months vs 72 months, P<0.001) . In subgroup analysis, MCV≤100 fl patients had worse survivals in bone marrow blast <5% cohort (34 months vs not reached, P=0.002) , but not so in ≥5 % cohort (17 months vs 20 months, P=0.078) . MCV≤100 fl was still an independent adverse variable (HR=1.890, 95%CI 1.007-3.548, P=0.048) after adjusting for clinical and laboratory variables and mutation topography in bone marrow blasts<5% cohort. In bone marrow blasts<5% cohort, patients with MCV≤100 fl had higher hemoglobin levels [90 (42-153) g/L vs 78.5 (28-146) g/L, P=0.015].The proportions of Revised International Prognostic Scoring System (IPSS-R) high/very high risks and poor/very poor IPSS-R karyotypes were higher in MCV≤100 fl cohort (28.8% vs 10.8%, P=0.003; 24.7% vs 12.9%, P=0.049) . MCV≤100 fl cohort had more genetic mutations than those with MCV>100 fl though without significance (0.988 vs 0.769, P=0.064) . Mutated SF3B1 was less frequently in MCV≤100 fl cohort (4.7% vs 15.4%, P=0.018) . Conclusion: MCV≤100 fl was an independent adverse variable after adjusting for clinical and laboratory variables and mutation topography in MDS patients with bone marrow blasts<5%.
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Affiliation(s)
- Z X Shi
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Tianjin 300020, China
| | - T J Qin
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Tianjin 300020, China
| | - Z F Xu
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Tianjin 300020, China
| | - H J Huang
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Tianjin 300020, China
| | - B Li
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Tianjin 300020, China
| | - S Q Qu
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Tianjin 300020, China
| | - N B Hu
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Tianjin 300020, China
| | - L J Pan
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Tianjin 300020, China
| | - D Liu
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Tianjin 300020, China
| | - Y N Cai
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Tianjin 300020, China
| | - Y D Zhang
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Tianjin 300020, China
| | - Z J Xiao
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, the State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Tianjin 300020, China
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30
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Hou C, Jiang SH, Shen HJ, Ding ZX, Miao M, Chen SN, Xu Y, Wu DP. [Clinical features and prognostic analysis of myelodysplastic syndromes patients with U2AF1 mutation]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2020; 41:72-75. [PMID: 32023759 PMCID: PMC7357910 DOI: 10.3760/cma.j.issn.0253-2727.2020.01.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2019] [Indexed: 01/03/2023]
Affiliation(s)
- C Hou
- The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis Under Ministry of Health Institute of Blood and Marrow Transplantation, Soochow University, Suzhou 215006, China
| | - S H Jiang
- The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis Under Ministry of Health Institute of Blood and Marrow Transplantation, Soochow University, Suzhou 215006, China
| | - H J Shen
- The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis Under Ministry of Health Institute of Blood and Marrow Transplantation, Soochow University, Suzhou 215006, China
| | - Z X Ding
- The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis Under Ministry of Health Institute of Blood and Marrow Transplantation, Soochow University, Suzhou 215006, China
| | - M Miao
- The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis Under Ministry of Health Institute of Blood and Marrow Transplantation, Soochow University, Suzhou 215006, China
| | - S N Chen
- The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis Under Ministry of Health Institute of Blood and Marrow Transplantation, Soochow University, Suzhou 215006, China
| | - Y Xu
- The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis Under Ministry of Health Institute of Blood and Marrow Transplantation, Soochow University, Suzhou 215006, China
| | - D P Wu
- The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis Under Ministry of Health Institute of Blood and Marrow Transplantation, Soochow University, Suzhou 215006, China
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31
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Huang H, Qin T, Xu Z, Shi Z, Li B, Pan L, Hu N, Qu S, Huang G, Gale RP, Xiao Z. Mutational features of myelodysplastic syndromes with Auer rods reveal them are more akin to acute myeloid leukemia. Br J Haematol 2019; 188:796-800. [PMID: 31880320 DOI: 10.1111/bjh.16326] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Huijun Huang
- MDS and MPN Centre, Institute of Haematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,State Key Laboratory of Experimental Haematology, Institute of Haematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Tiejun Qin
- MDS and MPN Centre, Institute of Haematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Zefeng Xu
- MDS and MPN Centre, Institute of Haematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,State Key Laboratory of Experimental Haematology, Institute of Haematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Zhongxun Shi
- MDS and MPN Centre, Institute of Haematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,State Key Laboratory of Experimental Haematology, Institute of Haematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Bing Li
- MDS and MPN Centre, Institute of Haematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,State Key Laboratory of Experimental Haematology, Institute of Haematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Lijuan Pan
- MDS and MPN Centre, Institute of Haematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Naibo Hu
- MDS and MPN Centre, Institute of Haematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Shiqiang Qu
- MDS and MPN Centre, Institute of Haematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Gang Huang
- Divisions of Experimental Haematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Robert P Gale
- Haematology Section, Division of Experimental Medicine, Department of Medicine, Imperial College London, London, UK
| | - Zhijian Xiao
- MDS and MPN Centre, Institute of Haematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,State Key Laboratory of Experimental Haematology, Institute of Haematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
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32
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Yu Y, Zhang T, Bao X, Wang Q, Zhang L, Hong Y, Zeng Z, Shen H, Wu D, Pan J, Liu H, Chen S, Sun A. Combining gene variants with clinical characteristics improves outcome prediction in Chinese patients with myelodysplastic syndromes. Leuk Lymphoma 2019; 61:919-926. [PMID: 31842651 DOI: 10.1080/10428194.2019.1702177] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Genetic variants have been identified in the majority of myelodysplastic syndromes (MDS) patients and have considerably influenced the diagnosis, classification, risk stratification and treatment of MDS. To explore the prognostic significance of genomic variants and build a new prognostic scoring model, we performed next-generation sequencing of 51 known genes in 499 Chinese patients with MDS. Ultimately, the TP53, GATA2, DNMT3A, age and the revised International Prognostic Scoring System (IPSS-R) risk stratification were included in a new Cox model and divided into three prognostic categories, and had a better prediction of overall survival. The C-index of the new prognostic scoring model (0.772) was clearly better than IPSS-R risk stratification (0.717), which was validated in 163 cases. Moreover, the new model was also suitable for the prediction of OS for patients undergoing allogeneic hematopoietic stem cell transplantation. The inclusion of genomic variants and age into the IPSS-R could improve prognostic algorithms for MDS patients.
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Affiliation(s)
- Yan Yu
- Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou, P.R. China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P.R. China
| | - Tongtong Zhang
- Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou, P.R. China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P.R. China
| | - Xiebing Bao
- Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou, P.R. China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P.R. China
| | - Qinrong Wang
- Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou, P.R. China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P.R. China
| | - Ling Zhang
- Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou, P.R. China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P.R. China
| | - Yang Hong
- Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou, P.R. China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P.R. China
| | - Zhao Zeng
- Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou, P.R. China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P.R. China
| | - Hongjie Shen
- Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou, P.R. China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P.R. China
| | - Depei Wu
- Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou, P.R. China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P.R. China.,Institute of Blood and Marrow Transplantation, Soochow University, Suzhou, P.R. China.,Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, Suzhou, P.R. China
| | - Jinlan Pan
- Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou, P.R. China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P.R. China
| | - Hong Liu
- Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou, P.R. China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P.R. China
| | - Suning Chen
- Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou, P.R. China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P.R. China
| | - Aining Sun
- Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou, P.R. China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P.R. China.,Institute of Blood and Marrow Transplantation, Soochow University, Suzhou, P.R. China
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33
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Li B, Zou D, Yang S, Ouyang G, Mu Q. Prognostic significance of U2AF1 mutations in myelodysplastic syndromes: a meta-analysis. J Int Med Res 2019; 48:300060519891013. [PMID: 31826693 PMCID: PMC7783272 DOI: 10.1177/0300060519891013] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION Although the effects of U2 small nuclear RNA auxiliary factor 1 gene (U2AF1) mutations on the outcomes of patients with myelodysplastic syndromes (MDS) have previously been investigated, their prognostic significance remains controversial. We performed a meta-analysis to investigate the impact of U2AF1 mutations on MDS progression. METHODS Two reviewers independently extracted information such as hazard ratios (HRs) and 95% confidential intervals (CIs) for overall survival (OS) and leukemia-free survival (LFS) as well as the number of surviving patients each year after diagnosis from the included studies. RESULTS Thirteen studies with a total of 3038 patients were included. The summary odds ratio (OR) for U2AF1 mutations with an OS of 5 years was 0.37, the summary HR for U2AF1 mutations in OS was 1.60, and the summary OR for an OS of 5 years in patients with U2AF1S34 and U2AF1Q157 was 3.68. There were no significant differences in leukemia-free survival or hypomethylating therapy response between patients with and without U2AF1 mutations. CONCLUSION U2AF1 mutations were associated with poor survival in MDS patients, and patients with U2AF1Q157 had a worse OS than those with U2AF1S34. Our findings suggest that MDS patients with U2AF1 mutations could benefit more from hypomethylation therapy.
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Affiliation(s)
- Bixia Li
- Ningbo University, Ningbo, P. R. China
| | - Duobing Zou
- Department of Hematology, Ningbo First Hospital, Ningbo, P. R. China
| | - Shujun Yang
- Department of Hematology, Ningbo First Hospital, Ningbo, P. R. China
| | - Guifang Ouyang
- Department of Hematology, Ningbo First Hospital, Ningbo, P. R. China
| | - Qitian Mu
- Department of Hematology, Ningbo First Hospital, Ningbo, P. R. China
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34
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Wang H, Zhang N, Wu X, Zheng X, Ling Y, Gong Y. Prognostic value of U2AF1 mutant in patients with de novo myelodysplastic syndromes: a meta-analysis. Ann Hematol 2019; 98:2629-2639. [PMID: 31754743 DOI: 10.1007/s00277-019-03843-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Accepted: 11/05/2019] [Indexed: 02/05/2023]
Abstract
U2 small nuclear RNA auxiliary factor 1 (U2AF1) mutant is the most common molecular biological abnormality in patients with myelodysplastic syndromes. Some studies have reported the prognostic impact of U2AF1 mutant in patients with de novo MDS, with discrepant results, so we do a meta-analysis about the relevant literatures to further investigate their prognostic impact on patients with de novo MDS. We conducted a literature search on databases such as PubMed, Embase, and the Cochrane Library to obtain studies on the prognosis of U2AF1 mutant in patients with de novo MDS published up to August 9, 2018. The primary endpoint was overall survival (OS), and the secondary endpoint was acute myeloid leukemia (AML) transformation. We extracted the hazard ratios (HRs) of OS and AML transformation and their 95% confidence intervals (CIs). Meta-analysis was performed by selecting a fixed-effect model or a random-effects model based on the heterogeneity between studies. A total of 14 cohort studies were included in the final meta-analysis, including 3322 patients with de no MDS, in which 390 patients were associated with U2AF1 mutant. The results showed that U2AF1 mutant had an adverse prognostic impact on OS (HR = 1.84, 95% CI: 1.45-2.33, P < 0.00001) and AML transformation (HR = 2.47, 95% CI: 1.50-4.06, P = 0.0004). U2AF1 mutant was associated with shorter OS in subgroup analyses of low- or intermediate-1-IPSS, U2AF1S34 and U2AF1Q157/R156. Out meta-analysis indicates that U2AF1 mutants are independent, detrimental prognostic factors for OS and AML transformation in patients with de novo MDS, as well as associating with shorter OS in subgroups of low- or intermediate-1-IPSS, U2AF1S34 and U2AF1Q157/R156. Further prospective studies are needed in the future, and subgroup analysis of U2AF1 subgroups is needed to obtain a more reliable basis for the impact of U2AF1 mutant on the prognosis of de novo MDS.
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Affiliation(s)
- Huifang Wang
- Department of Hematology, West China Hospital, Sichuan University, Sichuan Province, Chengdu, 610041, China
| | - Nanchen Zhang
- Department of Hematology, West China Hospital, Sichuan University, Sichuan Province, Chengdu, 610041, China
| | - Xia Wu
- Department of Hematology, West China Hospital, Sichuan University, Sichuan Province, Chengdu, 610041, China
| | - Xue Zheng
- Department of Hematology, West China Hospital, Sichuan University, Sichuan Province, Chengdu, 610041, China
| | - Yantao Ling
- Department of Hematology, West China Hospital, Sichuan University, Sichuan Province, Chengdu, 610041, China
| | - Yuping Gong
- Department of Hematology, West China Hospital, Sichuan University, Sichuan Province, Chengdu, 610041, China.
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35
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Zhao P, Qin J, Liu W, Quan R, Xiao H, Liu C, Li L, Lv Y, Zhu Q, Wang H, Guo X, Wang J, Hu X. Genetic alterations in 47 patients with a novel myelodysplastic syndrome diagnosis at a single center. Oncol Lett 2019; 18:5077-5084. [PMID: 31612018 PMCID: PMC6781645 DOI: 10.3892/ol.2019.10853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Accepted: 06/19/2019] [Indexed: 11/23/2022] Open
Abstract
At least one mutation is present in 70–80% of patients with myelodysplastic syndrome (MDS). Genetic alterations and other molecular biological markers have been included in the diagnostic and treatment guidelines for MDS. The aim of the present study was to analyze the association between genetic alterations and clinicopathological features among 47 Chinese patients with a novel diagnosis of MDS using a next-generation sequencing approach. The results indicated that from the 47 patients, 66.0% had genetic alterations. Furthermore, seven genes, U2 small nuclear RNA auxiliary factor 1 (23.4%), splicing factor 3b subunit (12.8%), ASXL transcriptional regulator 1 (10.6%), tet methylcytosine dioxygenase 2 (8.5%), BCL6 corepressor (8.5%), TP53 (8.5%) and DNA methyltransferase 3α (6.4%), indicated a higher prevalence of alterations in >5% of patients. Among the 16 (51.6%) patients with ≥2 mutations, 12 (75%) had mutations in different genetic functional groups. Variant allele frequencies in signaling pathways were generally low, suggesting that mutations in the corresponding genes were acquired relatively late during the evolution of the leukemic clones. The mutation prevalence rates of Janus kinase 2 and SH2B adaptor protein 3 were significantly higher in the MDS unclassified group and in the very high-risk groups with a karyotype as a prognostic indicator, respectively (both P<0.05). The mutation prevalence rates of SET binding protein 1 and enhancer of zeste 2 polycomb repressive complex 2 subunit were significantly higher in the high-risk group (both P<0.05). In summary, 66.0% of the 47 patients with a novel MDS diagnosis had a genetic mutation as detected by 127-target gene next-generation sequencing. The results for the genetic alterations in the present study will supplement the database of patients with MDS in China.
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Affiliation(s)
- Pan Zhao
- Department of Hematology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, P.R. China
| | - Jiayue Qin
- Annoroad Gene Technology Co., Ltd., Beijing 100176, P.R. China
| | - Weiyi Liu
- Department of Hematology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, P.R. China
| | - Richeng Quan
- Department of Hematology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, P.R. China
| | - Haiyan Xiao
- Department of Hematology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, P.R. China
| | - Chi Liu
- Department of Hematology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, P.R. China
| | - Liu Li
- Department of Hematology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, P.R. China
| | - Yan Lv
- Department of Hematology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, P.R. China
| | - Qianze Zhu
- Department of Hematology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, P.R. China
| | - Hongzhi Wang
- Department of Hematology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, P.R. China
| | - Xiaoqing Guo
- Department of Hematology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, P.R. China
| | - Juan Wang
- Annoroad Gene Technology Co., Ltd., Beijing 100176, P.R. China
| | - Xiaomei Hu
- Department of Hematology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, P.R. China
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36
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Genomic characterization in triple-negative primary myelofibrosis and other myeloid neoplasms with bone marrow fibrosis. Ann Hematol 2019; 98:2319-2328. [DOI: 10.1007/s00277-019-03766-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 07/20/2019] [Indexed: 02/06/2023]
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37
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Tobiasson M, Kittang AO. Treatment of myelodysplastic syndrome in the era of next-generation sequencing. J Intern Med 2019; 286:41-62. [PMID: 30869816 DOI: 10.1111/joim.12893] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Next-generation sequencing (NGS) is rapidly changing the clinical care of patients with myelodysplastic syndrome (MDS). NGS can be used for various applications: (i) in the diagnostic process to discriminate between MDS and other diseases such as aplastic anaemia, myeloproliferative disorders and idiopathic cytopenias; (ii) for classification, for example, where the presence of SF3B1 mutation is one criterion for the ring sideroblast anaemia subgroups in the World Health Organization 2016 classification; (iii) for identification of patients suitable for targeted therapy (e.g. IDH1/2 inhibitors); (iv) for prognostication, for example, where specific mutations (e.g. TP53 and RUNX1) are associated with inferior prognosis, whereas others (e.g. SF3B1) are associated with superior prognosis; and (v) to monitor patients for progression or treatment failure. Most commonly, targeted sequencing for genes (normally 50-100 genes) reported to be recurrently mutated in myeloid disease is used. At present, NGS is rarely incorporated into clinical guidelines although an increasing number of studies have demonstrated the benefit of using NGS in the clinical management of MDS patients.
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Affiliation(s)
- M Tobiasson
- Department of Hematology, Karolinska University Hospital, Stockholm, Sweden.,Institution of Medicine Huddinge, Karolinska Institute, Stockholm, Sweden
| | - A O Kittang
- Department of Clinical Science, University of Bergen, Bergen, Norway.,Section for Hematology, Department of Medicine, Haukeland University Hospital, Bergen, Norway
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38
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An WB, Liu C, Wan Y, Chen XY, Guo Y, Chen XJ, Yang WY, Chen YM, Zhang YC, Zhu XF. [Clinical and molecular characteristics of GATA2 related pediatric primary myelodysplastic syndrome]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2019; 40:477-483. [PMID: 31340620 PMCID: PMC7342394 DOI: 10.3760/cma.j.issn.0253-2727.2019.06.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Indexed: 11/05/2022]
Abstract
Objective: To clarify the prevalence, clinical features and molecular characteristics of germline GATA2 mutations in pediatric primary myelodysplastic syndromes (MDS) . Methods: Next-generation sequencing technology was used to detect mutations in GATA2 and other myeloid malignancy genes in 129 children with primary MDS from Jan. 2007 to Jan. 2018. The relationship between genotypes and phenotypes was analyzed. Results: Germline GATA2 mutations accounted for 8.5% (11/129) of all primary MDS cases, and 14.0% (11/50) of MDS with excess blasts (MDS-EB) and acute myeloid leukaemia with myelodysplasia-related changes (AML-MRC) . Compared with GATA2 wild-type patients, GATA2 mutated patients were older at diagnosis[8 (1-16) years old vs 6 years old (range: 1 month old-18 years old) , P=0.035]and higher risk of monosomy 7 (72.7%vs 5.2%, P<0.001) and classified into MDS-EB and AML-MRC compared with refractory cytopenia of childhood (RCC) (63.6%vs 36.4%, P=0.111) . The multivariate analysis showed SETBP1 mutation (P=0.041, OR=9.003, 95%CI 1.098-73.787) and isolated monosomy 7 (P=0.002, OR=24.835, 95%CI 3.305-186.620) were significantly associated with germline mutated GATA2. Overall survival (OS) and outcomes of hematopoietic stem cell transplantation (HSCT) were not influenced by GATA2 mutational status. Conclusions: Our data identify germline GATA2 mutations have a high prevalence in older pediatric patients with monosomy 7, and high risk of progression into advanced MDS subtypes. GATA2 mutation status does not affect OS in pediatric primary MDS.
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Affiliation(s)
- W B An
- Pediatric Blood Diseases Centre, Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, Tianjin 300020, China; State Key Laboratory of Experimental Hematology, Tianjin 300020, China
| | - C Liu
- Pediatric Blood Diseases Centre, Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, Tianjin 300020, China; State Key Laboratory of Experimental Hematology, Tianjin 300020, China
| | - Y Wan
- Pediatric Blood Diseases Centre, Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, Tianjin 300020, China; State Key Laboratory of Experimental Hematology, Tianjin 300020, China
| | - X Y Chen
- Pediatric Blood Diseases Centre, Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, Tianjin 300020, China; State Key Laboratory of Experimental Hematology, Tianjin 300020, China
| | - Y Guo
- Pediatric Blood Diseases Centre, Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, Tianjin 300020, China
| | - X J Chen
- Pediatric Blood Diseases Centre, Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, Tianjin 300020, China
| | - W Y Yang
- Pediatric Blood Diseases Centre, Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, Tianjin 300020, China
| | - Y M Chen
- Pediatric Blood Diseases Centre, Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, Tianjin 300020, China
| | - Y C Zhang
- State Key Laboratory of Experimental Hematology, Tianjin 300020, China
| | - X F Zhu
- Pediatric Blood Diseases Centre, Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, Tianjin 300020, China; State Key Laboratory of Experimental Hematology, Tianjin 300020, China
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39
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Shi Z, Qin T, Xu Z, Li B, Huang H, Zhang H, Fang L, Pan L, Hu N, Qu S, Huang G, Gale RP, Xiao Z. Prognostic mutations in persons with isolated neutropenia myelodysplastic syndrome. Leuk Lymphoma 2019; 60:2835-2837. [PMID: 31056995 DOI: 10.1080/10428194.2019.1607324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Zhongxun Shi
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Tiejun Qin
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Zefeng Xu
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Bing Li
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Huijun Huang
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Hongli Zhang
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Liwei Fang
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Lijuan Pan
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Naibo Hu
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Shiqiang Qu
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Gang Huang
- Divisions of Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Robert Peter Gale
- Haematology Section, Division of Experimental Medicine, Department of Medicine, Imperial College London, London, UK
| | - Zhijian Xiao
- MDS and MPN Centre, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
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40
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Huang HJ, Shi ZX, Li B, Qin TJ, Xu ZF, Zhang HL, Fang LW, Hu NB, Pan LJ, Qu SQ, Liu D, Cai YN, Zhang YD, Xiao ZJ. [Clinical implications and prognostic value of TP53 gene mutation and deletion in patients with myelodysplastic syndromes]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2019; 40:215-221. [PMID: 30929389 PMCID: PMC7342541 DOI: 10.3760/cma.j.issn.0253-2727.2019.03.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
目的 探讨伴TP53基因异常骨髓增生异常综合征(MDS)患者的临床特征及预后。 方法 回顾性分析2009年10月至2017年12月中国医学科学院血液病医院新诊断的584例原发性MDS患者临床资料,采用包含112个血液肿瘤相关基因的靶向测序技术进行突变分析,并采用间期荧光原位杂交(FISH)技术检测TP53基因缺失。分析TP53基因突变和(或)缺失与临床特征之间的关系及其对患者总生存(OS)的影响。 结果 42例(7.2%)伴TP53基因异常,其中单纯基因突变31例(5.3%),单纯基因缺失8例(1.4%),同时伴有突变和缺失3例(0.5%)。34例伴TP53基因突变患者中共检测到37个TP53突变,其中35个位于DNA结合结构域(第5~8号外显子),1个位于第10号外显子,1个为剪切位点突变。伴TP53基因异常组的平均基因突变数目(2.52个)显著高于无异常组(1.96个)(z=−2.418,P=0.016)。伴TP53基因异常患者的中位年龄[60(21~78)岁]高于无异常患者[52(14~83)岁](z=−2.188,P=0.029);伴TP53基因异常组中复杂核型比例、IPSS较高危组(中危-2及高危)比例显著高于无异常组(P值均<0.001)。伴TP53基因异常组的中位OS期[13(95%CI 7.57~18.43)个月]较无异常组(未达到)显著缩短(χ2=12.342,P<0.001),但多因素模型纳入复杂核型进行校正后,TP53突变不再是独立预后因素。 结论 伴TP53基因异常MDS患者中基因突变较基因缺失常见,突变位点主要分布于DNA结合结构域。TP53基因异常与复杂核型相关,且常与多个基因突变相伴出现。在多因素模型纳入复杂核型校正后,TP53基因异常则不再是独立的预后因素。
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Affiliation(s)
- H J Huang
- Institute of Hematology and Blood Diseases Hospital CAMS & PUMC, The State Key Laboratory of Experimental Hematology, Tianjin 300020, China
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41
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DeNicola AB, Tang Y. Therapeutic approaches to treat human spliceosomal diseases. Curr Opin Biotechnol 2019; 60:72-81. [PMID: 30772756 DOI: 10.1016/j.copbio.2019.01.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 01/02/2019] [Indexed: 02/06/2023]
Abstract
Mutated RNA splicing machinery drives many human diseases and is a promising therapeutic target for engineering and small molecule therapy. In the case of mutations in individual genes that cause them to be incorrectly spliced, engineered splicing factors can be introduced to correct splicing of these aberrant transcripts and reduce the effects of the disease phenotype. Mutations that occur in certain splicing factor genes themselves have been implicated in many cancers, particularly myelodysplastic syndromes. Small molecules that target splicing factors have been developed as therapies to preferentially induce apoptosis in these cancer cells. Specifically, drugs targeting the splicing factor SF3B1 have led to recent clinical trials. Here, we review the role of alternative splicing in disease, approaches to rescue incorrect splicing using engineered splicing factors, and small molecule splicing inhibitors developed to treat hematological cancers.
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Affiliation(s)
- Anthony B DeNicola
- Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095, United States.
| | - Yi Tang
- Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095, United States
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42
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Poluben L, Puligandla M, Neuberg D, Bryke CR, Hsu Y, Shumeiko O, Yuan X, Voznesensky O, Pihan G, Adam M, Fraenkel E, Rasnic R, Linial M, Klymenko S, Balk SP, Fraenkel PG. Characteristics of myeloproliferative neoplasms in patients exposed to ionizing radiation following the Chernobyl nuclear accident. Am J Hematol 2019; 94:62-73. [PMID: 30295334 DOI: 10.1002/ajh.25307] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Revised: 09/28/2018] [Accepted: 10/02/2018] [Indexed: 12/20/2022]
Abstract
Myeloproliferative neoplasms (MPNs) driver mutations are usually found in JAK2, MPL, and CALR genes; however, 10%-15% of cases are triple negative (TN). A previous study showed lower rate of JAK2 V617F in primary myelofibrosis patients exposed to low doses of ionizing radiation (IR) from Chernobyl accident. To examine distinct driver mutations, we enrolled 281 Ukrainian IR-exposed and unexposed MPN patients. Genomic DNA was obtained from peripheral blood leukocytes. JAK2 V617F, MPL W515, types 1- and 2-like CALR mutations were identified by Sanger Sequencing and real time polymerase chain reaction. Chromosomal alterations were assessed by oligo-SNP microarray platform. Additional genetic variants were identified by whole exome and targeted sequencing. Statistical significance was evaluated by Fisher's exact test and Wilcoxon's rank sum test (R, version 3.4.2). IR-exposed MPN patients exhibited a different genetic profile vs unexposed: lower rate of JAK2 V617F (58.4% vs 75.4%, P = .0077), higher rate of type 1-like CALR mutation (12.2% vs 3.1%, P = .0056), higher rate of TN cases (27.8% vs 16.2%, P = .0366), higher rate of potentially pathogenic sequence variants (mean numbers: 4.8 vs 3.1, P = .0242). Furthermore, we identified several potential drivers specific to IR-exposed TN MPN patients: ATM p.S1691R with copy-neutral loss of heterozygosity at 11q; EZH2 p.D659G at 7q and SUZ12 p.V71 M at 17q with copy number loss. Thus, IR-exposed MPN patients represent a group with distinct genomic characteristics worthy of further study.
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Affiliation(s)
- Larysa Poluben
- Division of Hematology/Oncology Cancer Research Institute, Beth Israel Deaconess Medical Center Boston Massachusetts
- National Research Center for Radiation Medicine Kyiv Ukraine
| | | | - Donna Neuberg
- Dana‐Farber/Harvard Cancer Center Boston Massachusetts
| | - Christine R. Bryke
- Division of Clinical Pathology Beth Israel Deaconess Medical Center Boston Massachusetts
| | - Yahsuan Hsu
- Division of Clinical Pathology Beth Israel Deaconess Medical Center Boston Massachusetts
| | | | - Xin Yuan
- Division of Hematology/Oncology Cancer Research Institute, Beth Israel Deaconess Medical Center Boston Massachusetts
| | - Olga Voznesensky
- Division of Hematology/Oncology Cancer Research Institute, Beth Israel Deaconess Medical Center Boston Massachusetts
| | - German Pihan
- Division of Clinical Pathology Beth Israel Deaconess Medical Center Boston Massachusetts
| | - Miriam Adam
- Department of Biological Engineering Massachusetts Institute of Technology Cambridge Massachusetts
| | - Ernest Fraenkel
- Department of Biological Engineering Massachusetts Institute of Technology Cambridge Massachusetts
| | - Roni Rasnic
- School of Computer Science and Engineering & Department of Biological Chemistry Hebrew University Jerusalem Israel
| | - Michal Linial
- School of Computer Science and Engineering & Department of Biological Chemistry Hebrew University Jerusalem Israel
| | - Sergiy Klymenko
- National Research Center for Radiation Medicine Kyiv Ukraine
| | - Steven P. Balk
- Division of Hematology/Oncology Cancer Research Institute, Beth Israel Deaconess Medical Center Boston Massachusetts
| | - Paula G. Fraenkel
- Division of Hematology/Oncology Cancer Research Institute, Beth Israel Deaconess Medical Center Boston Massachusetts
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Shingai N, Harada Y, Iizuka H, Ogata Y, Doki N, Ohashi K, Hagihara M, Komatsu N, Harada H. Impact of splicing factor mutations on clinical features in patients with myelodysplastic syndromes. Int J Hematol 2018; 108:598-606. [DOI: 10.1007/s12185-018-2551-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2018] [Revised: 10/05/2018] [Accepted: 10/09/2018] [Indexed: 12/15/2022]
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44
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Tefferi A, Mudireddy M, Finke CM, Nicolosi M, Lasho TL, Hanson CA, Patnaik MM, Pardanani A, Gangat N. U2AF1 mutation variants in myelodysplastic syndromes and their clinical correlates. Am J Hematol 2018. [PMID: 29516544 DOI: 10.1002/ajh.25084] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Ayalew Tefferi
- Division of Hematology, Department of MedicineMayo ClinicRochester Minnesota
| | - Mythri Mudireddy
- Division of Hematology, Department of MedicineMayo ClinicRochester Minnesota
| | - Christy M. Finke
- Division of Hematology, Department of MedicineMayo ClinicRochester Minnesota
| | - Maura Nicolosi
- Division of Hematology, Department of MedicineMayo ClinicRochester Minnesota
| | - Terra L. Lasho
- Division of Hematology, Department of MedicineMayo ClinicRochester Minnesota
| | - Curtis A. Hanson
- Division of Hematopathology, Department of Laboratory MedicineMayo ClinicRochester Minnesota
| | - Mrinal M. Patnaik
- Division of Hematology, Department of MedicineMayo ClinicRochester Minnesota
| | - Animesh Pardanani
- Division of Hematology, Department of MedicineMayo ClinicRochester Minnesota
| | - Naseema Gangat
- Division of Hematology, Department of MedicineMayo ClinicRochester Minnesota
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Tefferi A, Finke CM, Lasho TL, Hanson CA, Ketterling RP, Gangat N, Pardanani A. U2AF1 mutation types in primary myelofibrosis: phenotypic and prognostic distinctions. Leukemia 2018. [PMID: 29535431 PMCID: PMC6170397 DOI: 10.1038/s41375-018-0078-0] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Affiliation(s)
- Ayalew Tefferi
- Division of Hematology, Departments of Medicine and Laboratory Medicine, Mayo Clinic, Rochester, MN, USA.
| | - Christy M Finke
- Division of Hematology, Departments of Medicine and Laboratory Medicine, Mayo Clinic, Rochester, MN, USA
| | - Terra L Lasho
- Division of Hematology, Departments of Medicine and Laboratory Medicine, Mayo Clinic, Rochester, MN, USA
| | - Curtis A Hanson
- Division of Hematopathology, Departments of Medicine and Laboratory Medicine, Mayo Clinic, Rochester, MN, USA
| | - Rhett P Ketterling
- Division of Cytogenetics, Departments of Medicine and Laboratory Medicine, Mayo Clinic, Rochester, MN, USA
| | - Naseema Gangat
- Division of Hematology, Departments of Medicine and Laboratory Medicine, Mayo Clinic, Rochester, MN, USA
| | - Animesh Pardanani
- Division of Hematology, Departments of Medicine and Laboratory Medicine, Mayo Clinic, Rochester, MN, USA
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