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Philadelphia chromosome-positive acute lymphoblastic leukemia (Ph+ALL) reveals very poor prognosis due to high incidence of relapse when treated with standard chemotherapy. Although >96% of patients with Ph+ALL achieved complete remission (CR) with imatinib-combined chemotherapy in a phase II clinical trial conducted by the Japan Adult Leukemia Study Group (JALSG), 26% of them experienced hematological relapse in a short time after achievement of CR. In this study, to establish a prediction system for risk of relapse, we analyzed gene expression profiles of 23 bone marrow samples from patients with Ph+ALL using cDNA microarray consisting of 27,648 cDNA sequences. Using the 19 randomly-selected test cases, we identified 16 genes that were expressed significantly differently between patients with (n=8) and without (n=11) continuous response; from the list of 16 genes, we selected the 6 'predictive' genes and constructed a numerical scoring system by which the two groups were clearly separated, with positive scores for the former and the negative scores for the latter. Scoring of 4 cases that were reserved from the original 23 cases predicted correctly their clinical responses. In addition, three cases whose BCR-Abl transcript levels failed to reduce sufficiently after induction therapy, also revealed negative scores. We also developed a quantitative reverse transcription-PCR-based prediction system that could be feasible for routine clinical use. Our results suggest that achievement of continuous response with imatinib-combined chemotherapy can be predicted by expression patterns in this set of genes, leading to achievement of 'personalized therapy' for treatment of this disease.

international journal of oncology

Prediction of risk of disease recurrence by genome-wide cDNA microarray analysis in patients with Philadelphia chromosome-positive acute lymphoblastic leukemia treated with imatinib-combined chemotherapy