4.7 Article

Acquired genomic copy number aberrations and survival in adult acute myelogenous leukemia

期刊

BLOOD
卷 116, 期 23, 页码 4958-4967

出版社

AMER SOC HEMATOLOGY
DOI: 10.1182/blood-2010-01-266999

关键词

-

资金

  1. National Institutes of Health [1R01 CA136537-01]
  2. Leukemia & Lymphoma Society of America
  3. National Institutes of Health through the University of Michigan's Cancer Center [5 P30 CA46592]

向作者/读者索取更多资源

Genomic aberrations are of predominant importance to the biology and clinical outcome of patients with acute myelogenous leukemia (AML), and conventional karyotype-based risk classifications are routinely used in clinical decision making in AML. One of the known limitations of cytogenetic analysis is the inability to detect genomic abnormalities less than 5 Mb in size, and it is currently unclear whether overcoming this limitation with high-resolution genomic single-nucleotide polymorphism (SNP) array analysis would be clinically relevant. Furthermore, given the heterogeneity of molecular mechanisms/aberrations that underlie the conventional karyotype-based risk classifications, it is likely that further refinements in genomic risk prognostication can be achieved. In this study, we analyzed flow cytometer-sorted, AML blast-derived, and paired, buccal DNA from 114 previously untreated prospectively enrolled AML patients for acquired genomic copy number changes and loss of heterozygosity using Affymetrix SNP 6.0 arrays, and we correlated genomic lesion load and specific chromosomal abnormalities with patient survival. Using multivariate analyses, we found that having >= 2 genomic lesions detected through SNP 6.0 array profiling approximately doubles the risk of death when controlling for age-and karyotype-based risk. Finally, we identified an independent negative prognostic impact of p53 mutations, or p53 mutations and 17p-loss of heterozygosity combined on survival in AML. (Blood. 2010;116(23):4958-4967)

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据