FISH improves risk stratification in acute leukemia by identifying KMT2A abnormal copy number and rearrangements

Author:

Li Qinlu,Xing Shugang,Zhang Heng,Mao Xia,Xiao Min,Wang Ying

Abstract

AbstractMost cases of acute leukemia (AL) with KMT2A rearrangement (KMT2A-r) have a dismal prognosis. Detection of this aberration in Chinese adult patients relies on reverse transcription polymerase chain reaction (RT-PCR) and chromosome banding analysis (CBA). The fluorescence in situ hybridization (FISH) probe for KMT2A detects KMT2A-r and copy number variation (CNV) but is not routinely used as a detection technique. This study investigated the potential value of FISH in the treatment of AL by performing FISH along with CBA and RT-PCR in 269 de novo cases of AL. The three detection techniques were compared in identification of KMT2A-r, and the applicability of FISH for detecting KMT2A CNV was evaluated. Twenty-three samples were identified as positive for KMT2A-r (20 using FISH, 15 using RT-PCR, 16 using CBA, and eight according to all three). FISH also identified 17 KMT2A CNV, 15 with gains and two with deletions. Ten patients with acute myeloid leukemia (AML) harboring KMT2A CNV had a complex karyotype, a negative prognostic factor in AML. Adding FISH of KMT2A to routine detection leads to more accurate detection of KMT2A-r and improved identification of KMT2A CNV, which would benefit patients by improving the risk stratification in AL.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Acute leukemias of ambiguous lineage;Cases in Laboratory Genetics and Genomics (LGG) Practice;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3