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Attardi E, Tiberi L, Mattiuz G, Formicola D, Dirupo E, Raddi MG, Consagra A, Vergani D, Artuso R, Santini V. Prospective genetic germline evaluation in a consecutive group of adult patients aged <60 years with myelodysplastic syndromes. Hemasphere 2024; 8:e112. [PMID: 39015540 PMCID: PMC11250510 DOI: 10.1002/hem3.112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 04/18/2024] [Accepted: 05/11/2024] [Indexed: 07/18/2024] Open
Abstract
Relevance of germline (GL) predisposition in myelodysplastic syndromes (MDSs) was stressed in both 2022 WHO and International Consensus classifications, but its incidence is probably underestimated, especially in young adult patients. We selected a cohort of 31 consecutive de novo MDS patients with unusual young age (<60 years). We performed exome sequencing (ES) on DNA extracted from noninvasive sources (peripheral blood and saliva), filtering for a panel of 344 genes specifically tailored for detecting GL variants related to clonal and nonclonal cytopenia. We observed at least one high- or low-confidence GL MDS variant in 7/31 (22.6%) and 9/31 (29.0%) of cases, respectively. Four of 31 patients (12.9%) confirmed having established MDS/AML predisposing disorders. We found heterozygous variants in genes involved in DNA repair/cancer predisposition (ATM, ATR, FANCM, PARN, BRCA1, BRCA2, CHEK2, MSH2) in 9/31 (29.0%) cases and variants affecting ribosome biogenesis (SBDS), hematopoietic stem cell (GATA2), and megakaryocyte (ANKRD26) differentiation in single cases. Two cases had variants in RBBP6, a gene previously described exclusively in familial myeloproliferative neoplasms. Lastly, four cases had variants in genes related to inherited anemias (CUBN and PIEZO1 genes). Our results showed that "young" MDS patients aged 40-60 years carried reported and unreported GL variants with an unexpectedly high proportion, and these events co-occurred with somatic mutations recurrent in myeloid neoplasms. We explored the "no man's land" of the young adult MDS cases adopting a practical and scalable diagnostic tool, capable to detect GL variants avoiding invasive methods.
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Affiliation(s)
- Enrico Attardi
- MDS Unit, Hematology, AOU Careggi ‐ Department of Experimental and Clinical MedicineUniversity of FlorenceFlorenceItaly
| | - Lucia Tiberi
- Medical Genetics UnitMeyer Children's Hospital IRCCSFlorenceItaly
| | - Giorgio Mattiuz
- MDS Unit, Hematology, AOU Careggi ‐ Department of Experimental and Clinical MedicineUniversity of FlorenceFlorenceItaly
| | | | - Elia Dirupo
- Department of Experimental and Clinical Biomedical Sciences “Mario Serio”University of FlorenceFlorenceItaly
| | - Marco G. Raddi
- MDS Unit, Hematology, AOU Careggi ‐ Department of Experimental and Clinical MedicineUniversity of FlorenceFlorenceItaly
| | - Angela Consagra
- MDS Unit, Hematology, AOU Careggi ‐ Department of Experimental and Clinical MedicineUniversity of FlorenceFlorenceItaly
| | - Debora Vergani
- Medical Genetics UnitMeyer Children's Hospital IRCCSFlorenceItaly
- Department of Experimental and Clinical Biomedical Sciences “Mario Serio”University of FlorenceFlorenceItaly
| | - Rosangela Artuso
- Medical Genetics UnitMeyer Children's Hospital IRCCSFlorenceItaly
| | - Valeria Santini
- MDS Unit, Hematology, AOU Careggi ‐ Department of Experimental and Clinical MedicineUniversity of FlorenceFlorenceItaly
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Chen GW, Chen MN, Liu L, Zheng YY, Wang JP, Gong SS, Huang RF, Fan CM, Chen YZ. A research review of experimental animal models with myelodysplastic syndrome. CLINICAL & TRANSLATIONAL ONCOLOGY : OFFICIAL PUBLICATION OF THE FEDERATION OF SPANISH ONCOLOGY SOCIETIES AND OF THE NATIONAL CANCER INSTITUTE OF MEXICO 2023; 25:105-113. [PMID: 36068448 DOI: 10.1007/s12094-022-02931-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 08/22/2022] [Indexed: 01/07/2023]
Abstract
Myelodysplastic syndrome (MDS) consists of a group of hematologic tumors that are derived from the clonal proliferation of hematopoietic stem cells, featuring abnormal hematopoietic cell development and ineffective hematopoiesis. Animal models are an important scientific research platform that has been widely applied in the research of human diseases, especially tumors. Animal models with MDS can simulate characteristic human genetic variations and tumor phenotypes. They also provide a reliable platform for the exploration of the pathogenesis and diagnostic markers of MDS as well as for a drug efficacy evaluation. This paper reviews the research status of three animal models and a new spontaneous mouse model with MDS.
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Affiliation(s)
- Gen-Wang Chen
- Clinical Lab and Medical Diagnostics Laboratory, Donghai Hospital District, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Mei-Na Chen
- Clinical Lab, Quanzhou Hospital of Traditional Chinese Medicine, Quanzhou, 362000, China
| | - Lei Liu
- Clinical Lab and Medical Diagnostics Laboratory, Donghai Hospital District, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Yu-Yu Zheng
- Clinical Lab and Medical Diagnostics Laboratory, Donghai Hospital District, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Jin-Peng Wang
- Clinical Lab and Medical Diagnostics Laboratory, Donghai Hospital District, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Si-Si Gong
- Clinical Lab and Medical Diagnostics Laboratory, Donghai Hospital District, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Rong-Fu Huang
- Clinical Lab and Medical Diagnostics Laboratory, Donghai Hospital District, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Chun-Mei Fan
- Clinical Lab and Medical Diagnostics Laboratory, Donghai Hospital District, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China.
| | - Yue-Zu Chen
- Clinical Lab, Quanzhou Hospital of Traditional Chinese Medicine, Quanzhou, 362000, China
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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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