Gene mutation patterns and their prognostic impact in a cohort of 1185 patients with acute myeloid leukemia

Yang Shen;Yong Mei Zhu;Xing Fan;Jing Yi Shi;Qin Rong Wang;Xiao Jing Yan;Zhao Hui Gu;Yan Yan Wang;Bing Chen;Chun Lei Jiang;Han Yan;Fei Fei Chen;Hai Min Chen;竺 陈;Jie Jin;赛娟 陈

Shanghai Jiao Tong University;Zhejiang University;Key Laboratory of Organ Transplantation

发表时间:2011-11-17

期 刊:Blood

语 言:English

U R L: http://www.scopus.com/inward/record.url?scp=81555228423&partnerID=8YFLogxK

摘要

To evaluate the prognostic value of genetic mutations for acute myeloid leukemia (AML) patients, we examined the gene status for both fusion products such as AML1 (CBFα)-ETO, CBFβ- MYH11, PML-RARα, and MLL rearrangement as a result of chromosomal translocations and mutations in genes including FLT3, C-KIT, N-RAS, NPM1, CEBPA, WT1, ASXL1, DNMT3A, MLL, IDH1, IDH2, and TET2 in 1185 AML patients. Clinical analysis was mainly carried out among 605 cases without recognizable karyotype abnormalities except for 11q23. Of these 605 patients, 452 (74.7%) were found to have at least 1 mutation, and the relationship of gene mutations with clinical outcome was investigated. We revealed a correlation pattern among NPM1, DNMT3A, FLT3, IDH1, IDH2, CEBPA, and TET2 mutations. Multivariate analysis identified DNMT3A and MLL mutations as independent factors predicting inferior overall survival (OS) and event-free survival (EFS), whereas biallelic CEBPA mutations or NPM1 mutations without DNMT3A mutations conferred a better OS and EFS in both the whole group and among younger patients < 60 years of age. The use of molecular markers allowed us to subdivide the series of 605 patients into distinct prognostic groups with potential clinical relevance.

相关科学

生物化学、遗传学和分子生物学
生物化学
细胞生物学
免疫和微生物学
免疫学
医学
血液学

被引量

期刊度量

Scopus度量

年份 CiteScore SJR SNIP
1996
1997
1998
1999 4.458 2.189
2000 4.099 2.201
2001 2.129 2.11
2002 2.276 2.174
2003 2.489 2.27
2004 4.75 2.216
2005 4.977 2.287
2006 5.012 2.172
2007 5.414 2.255
2008 5.594 2.129
2009 5.834 2.373
2010 6.225 2.347
2011 15.8 6.314 2.413
2012 15.9 5.742 2.352
2013 16.6 6.467 2.528
2014 17.2 6.414 2.538
2015 17.7 6.353 2.569
2016 17.7 5.919 2.5
2017 18.1 6.434 2.754
2018 18 6.065 2.958
2019 18.6 5.416 3.178
2020 18.5 5.515 3.35
2021 15.1

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