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Petit, Arnaud; Trinquand, Amélie; Chevret, Sylvie; Ballerini, Paola; Cayuela, Jean-Michel; Grardel, Nathalie; Touzart, Aurore; Brethon, Benoit; Lapillonne, Hélène; Schmitt, Claudine; Thouvenin, Sandrine; Michel, Gerard; Preudhomme, Claude; Soulier, Jean; Landman-Parker, Judith; Leverger, Guy; Macintyre, Elizabeth; Baruchel, André; Asnafi, Vahid
Blood, 01/2018, Letnik: 131, Številka: 3Journal Article
Risk stratification in childhood T-cell acute lymphoblastic leukemia (T-ALL) is mainly based on minimal residual disease (MRD) quantification. Whether oncogenetic mutation profiles can improve the discrimination of MRD-defined risk categories was unknown. Two hundred and twenty FRALLE2000T-treated patients were tested retrospectively for NOTCH1/FBXW7/RAS and PTEN alterations. Patients with NOTCH1/FBXW7 (N/F) mutations and RAS/PTEN (R/P) germ line (GL) were classified as oncogenetic low risk (gLoR; n = 111), whereas those with N/F GL and R/P GL mutations or N/F and R/P mutations were classified as high risk (gHiR; n = 109). Day 35 MRD status was available for 191 patients. Five-year cumulative incidence of relapse (CIR) and disease-free survival were 36% and 60% for gHiR patients and 11% and 89% for gLoR patients, respectively. Importantly, among the 60% of patients with MRD <10−4, 5-year CIR was 29% for gHiR patients and 4% for gLoR patients. Based on multivariable Cox models and stepwise selection, the 3 most discriminating variables were the oncogenetic classifier, MRD, and white blood cell (WBC) count. Patients harboring a WBC count ≥200 × 109/L, gHiR classifier, and MRD ≥10−4 demonstrated a 5-year CIR of 46%, whereas the 58 patients (30%) with a WBC count <200 × 109/L, gLoR classifier, and MRD <10−4 had a very low risk of relapse, with a 5-year CIR of only 2%. In childhood T-ALL, the N/F/R/P mutation profile is an independent predictor of relapse. When combined with MRD and a WBC count ≥200 × 109/L, it identifies a significant subgroup of patients with a low risk of relapse. •In pediatric T-ALL, oncogenetic markers, MRD, and WBC count are independent predictors of outcome.•These factors should be used together for individual treatment stratification.
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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