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
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.
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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