Hui Yang, Rui Guo, Yu Shi, Chun Qiao, Yan Wang, Yu-Jie Wu, Hai-Rong Qiu
{"title":"[Diagnosis and Risk Stratification of Acute Myeloid Leukemia, Myelodysplasia -Related].","authors":"Hui Yang, Rui Guo, Yu Shi, Chun Qiao, Yan Wang, Yu-Jie Wu, Hai-Rong Qiu","doi":"10.19746/j.cnki.issn.1009-2137.2024.05.010","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To analyze the clinical and genetic characteristics of acute myeloid leukemia, myelodysplasia-related (AML-MR) patients and evaluate their prognostic risk stratification, to guide clinical treatment decisions and improve understanding of the biological characteristics and disease progression.</p><p><strong>Methods: </strong>The study analyzed cellular and molecular genetic information of 307 AML-MR patients, diagnosed based on clinical history, bone marrow morphology, cytogenetics, and molecular genetic abnormalities. The risk stratification followed the 2022 ELN guidelines.</p><p><strong>Results: </strong>57 cases (18.6%) met the AML-MR diagnostic criteria based on morphology and clinical history, 110 cases (37.2%) met the AML-MR diagnostic criteria based on cytogenetic results, and 210 cases (74.5%) met the AML-MR diagnostic criteria based on molecular testing results. Among different type of mutations, <i>ASXL1</i> mutation was the most frequent, followed by <i>SRSF2</i> and <i>BCOR</i> mutations. Except for 2 cases with incomplete data that could not be classified, 263 (86.2%) of the 305 patients were classified as poor prognosis, 20 (6.6%) were classified as good prognosis group, and 22 (7.2%) were classified as intermediate prognosis group.</p><p><strong>Conclusion: </strong>Molecular genetic information plays a crucial role in diagnosing AML-MR, highlighting the importance of genetics in diagnosis and prognosis. Most AML-MR patients fall into poor prognosis categories, necessitating early intensive and targeted therapy for better survival outcomes.</p>","PeriodicalId":35777,"journal":{"name":"中国实验血液学杂志","volume":"32 5","pages":"1372-1376"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国实验血液学杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.19746/j.cnki.issn.1009-2137.2024.05.010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To analyze the clinical and genetic characteristics of acute myeloid leukemia, myelodysplasia-related (AML-MR) patients and evaluate their prognostic risk stratification, to guide clinical treatment decisions and improve understanding of the biological characteristics and disease progression.
Methods: The study analyzed cellular and molecular genetic information of 307 AML-MR patients, diagnosed based on clinical history, bone marrow morphology, cytogenetics, and molecular genetic abnormalities. The risk stratification followed the 2022 ELN guidelines.
Results: 57 cases (18.6%) met the AML-MR diagnostic criteria based on morphology and clinical history, 110 cases (37.2%) met the AML-MR diagnostic criteria based on cytogenetic results, and 210 cases (74.5%) met the AML-MR diagnostic criteria based on molecular testing results. Among different type of mutations, ASXL1 mutation was the most frequent, followed by SRSF2 and BCOR mutations. Except for 2 cases with incomplete data that could not be classified, 263 (86.2%) of the 305 patients were classified as poor prognosis, 20 (6.6%) were classified as good prognosis group, and 22 (7.2%) were classified as intermediate prognosis group.
Conclusion: Molecular genetic information plays a crucial role in diagnosing AML-MR, highlighting the importance of genetics in diagnosis and prognosis. Most AML-MR patients fall into poor prognosis categories, necessitating early intensive and targeted therapy for better survival outcomes.