Molecular landscape of myelodysplastic neoplasms in disease classification and prognostication

被引:3
|
作者
Maggioni, Giulia
Della Porta, Matteo G. [1 ,2 ]
机构
[1] Humanitas Univ, Ctr Accelerating Leukemia Lymphoma Res CALR, Comprehens Canc Ctr, IRCCS Humanitas Clin & Res Ctr, Via Manzoni 56, I-20089 Milan, Italy
[2] Humanitas Univ, Dept Biomed Sci, Via Manzoni 56, I-20089 Milan, Italy
关键词
genetic lesions; ICC; 2022; IPSS-M; myelodysplastic syndromes classification; myelodysplastic syndromes prognostication; WHO; HEALTH-ORGANIZATION CLASSIFICATION; MUTATIONS; SF3B1;
D O I
10.1097/MOH.0000000000000752
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Purpose of reviewThe aim of this review is to provide a complete perspective of the evidence that led to the three recent new landmarks of myelodysplastic syndromes (MDS) definition and prognostication: the WHO 2022 and International Consensus Classification (ICC) 2022 classification and the Molecular Intermational Prognostic Scoring System (IPSS-M) score.Recent findingsThe molecular founding lesions of MDS are strongly linked with disease phenotype and prognosis, therefore the genetic assessment have become part of MDS classifications and prognostication.The WHO 2022 now recognizes the class 'MDS with defining genetic abnormalities'. It includes 'MDS with SF3B1 mutation', and 'MDS with biallelic TP53 inactivation'. The ICC 2022 further introduces the category 'MDS/acute myeloid leukemia (AML)' emphasizing the biological continuum existing between the diseases, with the aim to expand therapeutic possibilities for MDS patients with more than 10% of blasts; it further identifies 9 MDS-funding lesions, defying the 'MDS/AML with myelodysplasia-related gene mutations' class. In recent years, many efforts have been done in order to specify and weight the role of mutations in disease prognostication; the IPSS-M proposed in 2022 finally integrates the molecular profile of the disease with the clinical and cytogenetic data, providing a better prognostication at patient level compared to IPSS-R.
引用
收藏
页码:30 / 37
页数:8
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