No abstract
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 ¼ 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 (Po0.0001). A permutation test indicated a low likelihood that these probe sets and clusters were obtained by chance (Po0.001). 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.
The genetic risk factors for etoposide-induced leukemia with MLL translocations remain largely unknown. To identify genetic risk factors for and novel characteristics of secondary leukemia, we profiled 116 204 single nucleotide polymorphisms (SNPs) in germline and paired leukemic cell DNA from 13 secondary leukemia/myelodysplasia cases and germline DNA from 13 matched and 156 unmatched controls, all with acute lymphoblastic leukemia treated with etoposide. We analyzed global gene expression from a partially overlapping cohort. No single locus was altered in most cases. We discovered 81 regions of loss of heterozygosity (LOH) in leukemic blasts and 309 SNPs whose allele frequencies differed in cases vs controls. Candidate genes were prioritized on the basis of genes whose SNPs or expression differentiated cases from controls or showed LOH or copy number change in germline vs paired blast DNA from the13 cases. Three biological pathways were altered: adhesion, Wnt signaling and regulation of actin. Validation experiments using a genome scan for etoposideinduced leukemogenic MLL chimeric fusions in 15 HapMap cell lines also implicated genes involved in adhesion, a process linked to de novo leukemogenesis. Independent clinical epidemiologic and in vitro genome-wide approaches converged to identify novel pathways that may contribute to therapyinduced leukemia.
Therapy-related acute myeloid leukemia (t-AML) caused by MLL rearrangements (rMLL) can arise from topoisomerase II agents. However, whether rMLL-related leukemogenesis is inextricably linked to drug cytotoxicity remains controversial. We therefore compared (i) rMLL in children with acute lymphoblastic leukemia (ALL) who developed t-AML and those who did not, (ii) epipodophyllotoxin toxicity in patients with t-AML and in controls, and (iii) rMLL in cells sensitive to etoposide and in those resistant to etoposide. In children with ALL, rMLL appeared to be more frequent in children who developed t-AML than in those who did not (seven pairs, P = 0.04), although independent of the cumulative etoposide dose (P = 0.5). Similarly, the frequency of epipodophyllotoxin-related toxicities did not differ between patients with t-AML and controls (26 pairs, P > 0.17). Moreover, in 25 cell lines, etoposide-induced MLL fusions did not differ in sensitive vs. resistant lines at equitoxic concentrations (P = 0.65). Together, these results indicate that epipodophyllotoxin-mediated leukemogenesis is not directly linked to drug cytotoxicity.
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