Genome-wide approach to identify risk factors for therapy-related myeloid leukemia

被引:27
作者
Bogni, A
Cheng, C
Liu, W
Yang, W
Pfeffer, J
Mukatira, S
French, D
Downing, JR
Pui, CH
Relling, MV
机构
[1] Univ Tennessee, Dept Pharmaceut Sci, Memphis, TN USA
[2] Univ Tennessee, Dept Biostat, Memphis, TN USA
[3] Univ Tennessee, Hartwell Ctr, Memphis, TN USA
[4] Univ Tennessee, Dept Pathol, Memphis, TN USA
[5] Univ Tennessee, Dept Hematol Oncol, St Jude Childrens Res Hosp, Memphis, TN USA
[6] Univ Tennessee, Coll Med, Memphis, TN USA
[7] Univ Tennessee, Coll Pharm, Memphis, TN USA
关键词
acute lymphoblastic leukemia; secondary myeloid leukemia; gene expression;
D O I
10.1038/sj.leu.2404059
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Using a target gene approach, only a few host genetic risk factors for treatment-related myeloid leukemia (t-ML) have been defined. Gene expression microarrays allow for a more genome-wide approach to assess possible genetic risk factors for t-ML. We assessed gene expression profiles (n 12 625 probe sets) in diagnostic acute lymphoblastic leukemic cells from 228 children treated on protocols that included leukemogenic agents such as etoposide, 13 of whom developed t-ML. Expression of 68 probes, corresponding to 63 genes, was significantly related to risk of t-ML. Hierarchical clustering of these probe sets clustered patients into three groups with 94, 122 and 12 patients, respectively; 12 of the 13 patients who went on to develop t-ML were overrepresented in the latter group (P < 0.0001). A permutation test indicated a low likelihood that these probe sets and clusters were obtained by chance (P < 0.001). Distinguishing genes included transcription-related oncogenes (v-Myb, Pax-5), cyclins (CCNG1, CCNG2 and CCND1) and histone HIST1H4C. Common transcription factor recognition elements among similarly up- or downregulated genes included several involved in hematopoietic differentiation or leukemogenesis (Maz, PU.1, ARNT). This approach has identified several genes whose expression distinguishes patients at risk of t-ML, and suggests targets for assessing germline predisposition to leukemogenesis.
引用
收藏
页码:239 / 246
页数:8
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