Lack of CpG Island Methylator Phenotype Defines a Clinical Subtype of T-Cell Acute Lymphoblastic Leukemia Associated With Good Prognosis
- 1 October 2005
- journal article
- retracted article
- Published by American Society of Clinical Oncology (ASCO) in Journal of Clinical Oncology
- Vol. 23 (28) , 7043-7049
- https://doi.org/10.1200/jco.2005.01.4944
Abstract
Purpose To examine cancer genes undergoing epigenetic inactivation in a set of T-cell acute lymphoblastic leukemias (T-ALLs) to obtain the CpG island methylator phenotype (CIMP) in the disease and its possible correlation with clinical features and outcome of the patients. Patients and Methods Methylation-specific polymerase chain reaction was used to analyze methylation of the ADAMTS-1, ADAMTS-5, APAF-1, ASPP-1, CDH1, CDH13, DAPK, DIABLO, DKK-3, LATS-1, LATS-2, NES-1, p14, p15, p16, p57, p73, PARK-2, PTEN, sFRP1/2/4/5, SHP-1, SYK, TMS-1, and WIF-1 genes in samples from 50 consecutive T-ALL patients (19 children and 31 adults). Results were compared with results obtained in 286 B-cell acute lymphoblastic leukemias (B-ALLs). Results A total of 88% of the T-ALL samples had at least one gene methylated. According to the number of methylated genes observed in each individual sample, 12 patients (24%) were included in the CIMP− group (zero to two methylated genes), and 38 patients (76%) were included in the CIMP+ group (> two methylated genes). Clinical features and remission rate did not differ significantly among both groups of patients. Estimated disease-free survival (DFS) rate at 12 years and overall survival (OS) rate at 13 years were 100% and 91% for the CIMP− group and 20% and 17% for the CIMP+ group, respectively (P = .0006 and P = .003, respectively). Multivariate analysis demonstrated that methylation profile was an independent prognostic factor in predicting DFS (P = .05) and OS (P = .02). A group of five genes (SYK-1, ASPP-1, sFRP-2, sFRP-5, and WIF-1) showed specificity for T-ALL compared with B-ALL. Conclusion Our results suggest that the methylation profile may be a potential new biomarker of risk prediction in T-ALL.Keywords
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