Validation of the molecular international prognostic scoring system in patients with myelodysplastic syndromes defined by international consensus classification
In: Blood Cancer Journal, Jg. 13 (2023), Heft 1, S. 1-8
Online
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Zugriff:
Myelodysplastic syndromes (MDS) have varied prognoses and require a risk-adapted treatment strategy for treatment optimization. Recently, a molecular prognostic model (Molecular International Prognostic Scoring System [IPSS-M]) that combines clinical parameters, cytogenetic abnormalities, and mutation topography was proposed. This study validated the IPSS-M in 649 patients with primary MDS (based on the 2022 International Consensus Classification [ICC]) and compared its prognostic power to those of the IPSS and revised IPSS (IPSS-R). Overall, 42.5% of the patients were reclassified and 29.3% were up-staged from the IPSS-R. After the reclassification, 16.9% of the patients may receive different treatment strategies. The IPSS-M had greater discriminative potential than the IPSS-R and IPSS. Patients with high, or very high-risk IPSS-M might benefit from allogeneic hematopoietic stem cell transplantation. IPSS-M, age, ferritin level, and the 2022 ICC categorization predicted outcomes independently. After analyzing demographic and genetic features, complementary genetic analyses, including KMT2A-PTD, were suggested for accurate IPSS-M categorization of patients with ASXL1, TET2, STAG2, RUNX1, SF3B1, SRSF2, DNMT3A, U2AF1, and BCOR mutations and those classified as MDS, not otherwise specified with single lineage dysplasia/multi-lineage dysplasia based on the 2022 ICC. This study confirmed that the IPSS-M can better risk-stratified MDS patients for optimized therapeutic decision-making.
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Validation of the molecular international prognostic scoring system in patients with myelodysplastic syndromes defined by international consensus classification
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Autor/in / Beteiligte Person: | Lee, Wan-Hsuan ; Tsai, Ming-Tao ; Tsai, Cheng-Hong ; Tien, Feng-Ming ; Lo, Min-Yen ; Tseng, Mei-Hsuan ; Kuo, Yuan-Yeh ; Liu, Ming-Chih ; Yang, Yi-Tsung ; Chen, Jui-Che ; Tang, Jih-Luh ; Sun, Hsun-I ; Chuang, Yi-Kuang ; Lin, Liang-In ; Chou, Wen-Chien ; Lin, Chien-Chin ; Hou, Hsin-An ; Tien, Hwei-Fang |
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Zeitschrift: | Blood Cancer Journal, Jg. 13 (2023), Heft 1, S. 1-8 |
Veröffentlichung: | Nature Publishing Group, 2023 |
Medientyp: | academicJournal |
ISSN: | 2044-5385 (print) |
DOI: | 10.1038/s41408-023-00894-8 |
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