骨髓增生异常综合征诊疗进展
The Progress in Diagnosis and Treatment of Myelodysplastic Syndromes
DOI: 10.12677/acm.2025.153795, PDF,   
作者: 杜理超, 陈 林:重庆医科大学附属第二医院血液内科,重庆
关键词: 骨髓增生异常综合征诊断治疗进展Myelodysplastic Syndromes Diagnosis Treatment Progress
摘要: 骨髓增生异常综合征(MDS)是一类起源于造血干细胞的异质性骨髓疾病,其临床表现和预后各异。近年来,随着基因组学和高通量测序技术的飞速发展,对MDS的病理生理机制、分子遗传学特征及免疫微环境的认识日益深入,为疾病的早期诊断、风险分层和个体化治疗提供了新的视角。本文综述了MDS的发病机制、临床诊断、风险评估及当前主要的治疗策略,包括支持治疗、低剂量化疗、靶向药物、免疫治疗以及造血干细胞移植等。与此同时,我们也讨论了MDS研究中面临的挑战,如病情进展机制尚不明确、耐药问题及治疗反应的个体差异等。未来,通过多学科协作和精准医疗策略的不断完善,有望进一步改善MDS患者的生存率和生活质量。
Abstract: Myelodysplastic Syndromes (MDS) are a group of heterogeneous bone marrow disorders originating from hematopoietic stem cells, with diverse clinical manifestations and prognoses. In recent years, with the rapid development of genomics and high-throughput sequencing technologies, there has been an increasing understanding of the pathophysiological mechanisms, molecular genetic characteristics, and immune microenvironment of MDS. This progress has provided new perspectives for early diagnosis, risk stratification, and personalized treatment of the disease. This review summarizes the pathogenesis, clinical diagnosis, risk assessment, and current major treatment strategies for MDS, including supportive therapy, low-dose chemotherapy, targeted drugs, immunotherapy, and hematopoietic stem cell transplantation. Meanwhile, we also discuss the challenges in MDS research, such as the unclear mechanisms of disease progression, issues of drug resistance, and individual differences in treatment response. In the future, through continued multidisciplinary collaboration and the improvement of precision medicine strategies, the survival rate and quality of life for MDS patients are expected to improve further.
文章引用:杜理超, 陈林. 骨髓增生异常综合征诊疗进展[J]. 临床医学进展, 2025, 15(3): 1707-1715. https://doi.org/10.12677/acm.2025.153795

参考文献

[1] Ogawa, S. (2019) Genetics of MDS. Blood, 133, 1049-1059. [Google Scholar] [CrossRef] [PubMed]
[2] Shallis, R.M., Ahmad, R. and Zeidan, A.M. (2018) The Genetic and Molecular Pathogenesis of Myelodysplastic Syndromes. European Journal of Haematology, 101, 260-271. [Google Scholar] [CrossRef] [PubMed]
[3] Hosono, N. (2019) Genetic Abnormalities and Pathophysiology of MDS. International Journal of Clinical Oncology, 24, 885-892. [Google Scholar] [CrossRef] [PubMed]
[4] Pellagatti, A. and Boultwood, J. (2015) The Molecular Pathogenesis of the Myelodysplastic Syndromes. European Journal of Haematology, 95, 3-15. [Google Scholar] [CrossRef] [PubMed]
[5] Hirai, H. (2002) Molecular Pathogenesis of MDS. International Journal of Hematology, 76, 213-221. [Google Scholar] [CrossRef] [PubMed]
[6] Kennedy, J.A. and Ebert, B.L. (2017) Clinical Implications of Genetic Mutations in Myelodysplastic Syndrome. Journal of Clinical Oncology, 35, 968-974. [Google Scholar] [CrossRef] [PubMed]
[7] Sperling, A.S., Gibson, C.J. and Ebert, B.L. (2016) The Genetics of Myelodysplastic Syndrome: From Clonal Haematopoiesis to Secondary Leukaemia. Nature Reviews Cancer, 17, 5-19. [Google Scholar] [CrossRef] [PubMed]
[8] Sallman, D.A., Cluzeau, T., Basiorka, A.A. and List, A. (2016) Unraveling the Pathogenesis of MDS: The NLRP3 Inflammasome and Pyroptosis Drive the MDS Phenotype. Frontiers in Oncology, 6, Article 151. [Google Scholar] [CrossRef] [PubMed]
[9] Kennedy, A.L. and Shimamura, A. (2019) Genetic Predisposition to MDS: Clinical Features and Clonal Evolution. Blood, 133, 1071-1085. [Google Scholar] [CrossRef] [PubMed]
[10] Ganguly, B.B. and Kadam, N.N. (2016) Mutations of Myelodysplastic Syndromes (MDS): An Update. Mutation Research/Reviews in Mutation Research, 769, 47-62. [Google Scholar] [CrossRef] [PubMed]
[11] Zeidan, A.M., Al Ali, N., Barnard, J., Padron, E., Lancet, J.E., Sekeres, M.A., et al. (2017) Comparison of Clinical Outcomes and Prognostic Utility of Risk Stratification Tools in Patients with Therapy-Related vs De Novo Myelodysplastic Syndromes: A Report on Behalf of the MDS Clinical Research Consortium. Leukemia, 31, 1391-1397. [Google Scholar] [CrossRef] [PubMed]
[12] Nazha, A., Komrokji, R.S., Meggendorfer, M., Mukherjee, S., Al Ali, N., Walter, W., et al. (2018) A Personalized Prediction Model to Risk Stratify Patients with Myelodysplastic Syndromes. Blood, 132, 793-793. [Google Scholar] [CrossRef
[13] Duetz, C., Westers, T.M. and van de Loosdrecht, A.A. (2018) Clinical Implication of Multi-Parameter Flow Cytometry in Myelodysplastic Syndromes. Pathobiology, 86, 14-23. [Google Scholar] [CrossRef] [PubMed]
[14] Platzbecker, U. (2019) Treatment of MDS. Blood, 133, 1096-1107. [Google Scholar] [CrossRef] [PubMed]
[15] Sauta, E., Robin, M., Bersanelli, M., Travaglino, E., Meggendorfer, M., Zhao, L., et al. (2023) Real-World Validation of Molecular International Prognostic Scoring System for Myelodysplastic Syndromes. Journal of Clinical Oncology, 41, 2827-2842. [Google Scholar] [CrossRef] [PubMed]
[16] Lee, E., Podoltsev, N., Gore, S.D. and Zeidan, A.M. (2016) The Evolving Field of Prognostication and Risk Stratification in MDS: Recent Developments and Future Directions. Blood Reviews, 30, 1-10. [Google Scholar] [CrossRef] [PubMed]
[17] Haase, D., Stevenson, K.E., Neuberg, D., Maciejewski, J.P., Nazha, A., Sekeres, M.A., et al. (2019) TP53 Mutation Status Divides Myelodysplastic Syndromes with Complex Karyotypes into Distinct Prognostic Subgroups. Leukemia, 33, 1747-1758. [Google Scholar] [CrossRef] [PubMed]
[18] Winter, S., Shoaie, S., Kordasti, S. and Platzbecker, U. (2020) Integrating the “Immunome” in the Stratification of Myelodysplastic Syndromes and Future Clinical Trial Design. Journal of Clinical Oncology, 38, 1723-1735. [Google Scholar] [CrossRef] [PubMed]
[19] van Spronsen, M.F., Ossenkoppele, G.J., Holman, R. and van de Loosdrecht, A.A. (2014) Improved Risk Stratification by the Integration of the Revised International Prognostic Scoring System with the Myelodysplastic Syndromes Comorbidity Index. European Journal of Cancer, 50, 3198-3205. [Google Scholar] [CrossRef] [PubMed]
[20] de Swart, L., Smith, A., Johnston, T.W., Haase, D., Droste, J., Fenaux, P., et al. (2015) Validation of the Revised International Prognostic Scoring System (IPSS‐R) in Patients with Lower‐risk Myelodysplastic Syndromes: A Report from the Prospective European Leukaemianet MDS (EUMDS) Registry. British Journal of Haematology, 170, 372-383. [Google Scholar] [CrossRef] [PubMed]
[21] Pfeilstöcker, M., Tuechler, H., Sanz, G., Schanz, J., Garcia-Manero, G., Solé, F., et al. (2016) Time-Dependent Changes in Mortality and Transformation Risk in MDS. Blood, 128, 902-910. [Google Scholar] [CrossRef] [PubMed]
[22] Bejar, R., Papaemmanuil, E., Haferlach, T., Garcia-Manero, G., Maciejewski, J.P., Sekeres, M.A., et al. (2015) Somatic Mutations in MDS Patients Are Associated with Clinical Features and Predict Prognosis Independent of the IPSS-R: Analysis of Combined Datasets from the International Working Group for Prognosis in MDS-Molecular Committee. Blood, 126, 907-907. [Google Scholar] [CrossRef
[23] Bersanelli, M., Travaglino, E., Meggendorfer, M., Matteuzzi, T., Sala, C., Mosca, E., et al. (2021) Classification and Personalized Prognostic Assessment on the Basis of Clinical and Genomic Features in Myelodysplastic Syndromes. Journal of Clinical Oncology, 39, 1223-1233. [Google Scholar] [CrossRef] [PubMed]
[24] Fenaux, P., Giagounidis, A., Selleslag, D., Beyne-Rauzy, O., Mufti, G., Mittelman, M., et al. (2011) A Randomized Phase 3 Study of Lenalidomide versus Placebo in RBC Transfusion-Dependent Patients with Low-/Intermediate-1-Risk Myelodysplastic Syndromes with del5q. Blood, 118, 3765-3776. [Google Scholar] [CrossRef] [PubMed]
[25] Saygin, C. and Carraway, H.E. (2021) Current and Emerging Strategies for Management of Myelodysplastic Syndromes. Blood Reviews, 48, Article ID: 100791. [Google Scholar] [CrossRef] [PubMed]
[26] Bazinet, A., Jabbour, E.J., Kantarjian, H., Chien, K.S., DiNardo, C.D., Ohanian, M., et al. (2021) A Phase I/II Study of Venetoclax in Combination with 5-Azacytidine in Treatment-Naïve and Relapsed/Refractory High-Risk Myelodysplastic Syndrome (MDS) or Chronic Myelomonocytic Leukemia (CMML). Blood, 138, 535-535. [Google Scholar] [CrossRef
[27] Yang, W., Gao, S., Yan, X., Guo, R., Han, L., Li, F., et al. (2024) Latest Results of a Phase 2 Study of IMM01 Combined with Azacitidine (AZA) as the First-Line Treatment in Adults with Higher Risk Myelodysplastic Syndromes (MDS). Journal of Clinical Oncology, 42, 6510-6510. [Google Scholar] [CrossRef
[28] Greenberg, P.L., Stone, R.M., Al-Kali, A., Barta, S.K., Bejar, R., Bennett, J.M., et al. (2016) Myelodysplastic Syndromes, Version 2.2017, NCCN Clinical Practice Guidelines in Oncology. Journal of the National Comprehensive Cancer Network, 15, 60-87. [Google Scholar] [CrossRef] [PubMed]
[29] Bewersdorf, J.P. and Zeidan, A.M. (2021) Risk-Adapted, Individualized Treatment Strategies of Myelodysplastic Syndromes (MDS) and Chronic Myelomonocytic Leukemia (CMML). Cancers, 13, Article 1610. E., Podoltsev, N., Gore, S. and Zeidan, A. (2016) The Evolving Field of Prognostication and Risk Stratification in MDS: Recent Developments and Future Directions. Blood Reviews, 30, 1-10. [Google Scholar] [CrossRef
[30] Jackewicz, S.H., Coloma, H.S., Cortiana, V., Joshi, M., Menon, G.P., Balasubramanian, M., et al. (2023) The Evolving Landscape: Exploring the Future of Myelodysplastic Syndrome Treatment with Dr. Rami Komrokji. Cancers, 15, Article 5170. [Google Scholar] [CrossRef] [PubMed]
[31] Bond, D.R., Lee, H.J. and Enjeti, A.K. (2020) Unravelling the Epigenome of Myelodysplastic Syndrome: Diagnosis, Prognosis, and Response to Therapy. Cancers, 12, Article 3128. [Google Scholar] [CrossRef] [PubMed]