| GeneLibs

题目:: Genome-wide approach to identify risk factors for therapy-related myeloid leukemia.
作者:: Bogni(A),Cheng(C),Liu(W),Yang(W),Pfeffer(J),Mukatira(S),French(D),Downing(J R),Pui(C-H),Relling(M V)
状态:: 发布时间2006-01-25 , 更新时间 2013-03-04
期刊:: Leukemia
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.
语言:: eng
DOI:: 10.1038/sj.leu.2404059

文献库文献相关信息

DataTable pData

联系方式

微信公众号

文献库 文献相关信息

DataTable pData

联系方式

微信公众号

文献库文献相关信息