{"title":"基于FLT3和NPM1 mRNA表达的新发急性髓系白血病风险分层。","authors":"Donghyun Kim , Grerk Sutamtewagul , Yeonhwa Yu","doi":"10.1016/j.lrr.2024.100494","DOIUrl":null,"url":null,"abstract":"<div><div>Prognostication of acute myeloid leukemia (AML) at initial diagnosis relies on identification of pre-determined underlying genetic abnormalities. Nevertheless, the disease course of AML remains highly unpredictable and robust reliable prognostic biomarkers for newly diagnosed AML are lacking. We retrospectively explored two publicly available AML RNA-Seq datasets and found that inferior overall survival was associated with high-<em>FLT3</em> and low-<em>NPM1</em> transcript levels (“<em>FLT3</em><sup>high</sup>/<em>NPM1</em><sup>low</sup>”) compared to low-<em>FLT3</em> and high-<em>NPM1</em> transcript levels (“<em>FLT3</em><sup>low</sup>/<em>NPM1</em><sup>high</sup>”) in adult <em>de novo</em> AML patients, with a hazard ratio for death of at least 2. Transcript level-dependent differential overall survival was independent from the underlying <em>FLT3</em> or <em>NPM1</em> genotypes. Our two-gene RNA expression-based <em>de novo</em> AML risk stratification may supplement and fine-tune traditional genetic aberration-based prognostication methods.</div></div>","PeriodicalId":38435,"journal":{"name":"Leukemia Research Reports","volume":"23 ","pages":"Article 100494"},"PeriodicalIF":0.7000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11743808/pdf/","citationCount":"0","resultStr":"{\"title\":\"FLT3 and NPM1 mRNA expression-based risk stratification of de novo acute Myeloid Leukemia\",\"authors\":\"Donghyun Kim , Grerk Sutamtewagul , Yeonhwa Yu\",\"doi\":\"10.1016/j.lrr.2024.100494\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Prognostication of acute myeloid leukemia (AML) at initial diagnosis relies on identification of pre-determined underlying genetic abnormalities. Nevertheless, the disease course of AML remains highly unpredictable and robust reliable prognostic biomarkers for newly diagnosed AML are lacking. We retrospectively explored two publicly available AML RNA-Seq datasets and found that inferior overall survival was associated with high-<em>FLT3</em> and low-<em>NPM1</em> transcript levels (“<em>FLT3</em><sup>high</sup>/<em>NPM1</em><sup>low</sup>”) compared to low-<em>FLT3</em> and high-<em>NPM1</em> transcript levels (“<em>FLT3</em><sup>low</sup>/<em>NPM1</em><sup>high</sup>”) in adult <em>de novo</em> AML patients, with a hazard ratio for death of at least 2. Transcript level-dependent differential overall survival was independent from the underlying <em>FLT3</em> or <em>NPM1</em> genotypes. Our two-gene RNA expression-based <em>de novo</em> AML risk stratification may supplement and fine-tune traditional genetic aberration-based prognostication methods.</div></div>\",\"PeriodicalId\":38435,\"journal\":{\"name\":\"Leukemia Research Reports\",\"volume\":\"23 \",\"pages\":\"Article 100494\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11743808/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Leukemia Research Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2213048924000840\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Leukemia Research Reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213048924000840","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"HEMATOLOGY","Score":null,"Total":0}
FLT3 and NPM1 mRNA expression-based risk stratification of de novo acute Myeloid Leukemia
Prognostication of acute myeloid leukemia (AML) at initial diagnosis relies on identification of pre-determined underlying genetic abnormalities. Nevertheless, the disease course of AML remains highly unpredictable and robust reliable prognostic biomarkers for newly diagnosed AML are lacking. We retrospectively explored two publicly available AML RNA-Seq datasets and found that inferior overall survival was associated with high-FLT3 and low-NPM1 transcript levels (“FLT3high/NPM1low”) compared to low-FLT3 and high-NPM1 transcript levels (“FLT3low/NPM1high”) in adult de novo AML patients, with a hazard ratio for death of at least 2. Transcript level-dependent differential overall survival was independent from the underlying FLT3 or NPM1 genotypes. Our two-gene RNA expression-based de novo AML risk stratification may supplement and fine-tune traditional genetic aberration-based prognostication methods.