Assessment of <i>BCR-ABL1</i> Transcript Levels at 3 Months Is the Only Requirement for Predicting Outcome for Patients With Chronic Myeloid Leukemia Treated With Tyrosine Kinase Inhibitors

David Marín(Hammersmith Hospital), Amr R. Ibrahim(Hammersmith Hospital), Claire Lucas(Hammersmith Hospital), Gareth Gerrard(Hammersmith Hospital), Lihui Wang(Hammersmith Hospital), Richard Szydlo(Hammersmith Hospital), Richard E. Clark(Hammersmith Hospital), Jane F. Apperley(Hammersmith Hospital), Dragana Milojković(Hammersmith Hospital), Marco Bua(Hammersmith Hospital), Jiří Pavlů(Hammersmith Hospital), Christos Paliompeis(Hammersmith Hospital), Alistair Reid(Hammersmith Hospital), Katayoun Rezvani(Hammersmith Hospital), John M. Goldman(Hammersmith Hospital), Letizia Foroni(Hammersmith Hospital)
Journal of Clinical Oncology
November 8, 2011
Cited by 474

Abstract

PURPOSE: We studied BCR-ABL1 transcript levels in patients with chronic myeloid leukemia in chronic phase (CML-CP) at 3, 6, and 12 months after starting imatinib to identify molecular milestones that would predict for overall survival (OS) and other outcomes more reliably than serial marrow cytogenetics. PATIENTS AND METHODS: We analyzed 282 patients with CML-CP who received imatinib 400 mg/d as first-line therapy followed by dasatinib or nilotinib if treatment with imatinib failed. We used a receiver operating characteristic curve to identify the cutoffs in transcript levels at 3, 6, and 12 months that would best predict patient outcome. We validated our findings in an independent cohort of 95 patients treated elsewhere. RESULTS: Patients with transcript levels of more than 9.84% (n = 68) at 3 months had significantly lower 8-year probabilities of OS (56.9% v 93.3%; P < .001), progression-free survival, cumulative incidence of complete cytogenetic response, and complete molecular response than those with higher transcript levels. Similarly, transcript levels of more than 1.67% (n = 87) at 6 months and more than 0.53% (n = 93) at 12 months identified high-risk patients. However, transcript levels at 3 months were the most strongly predictive for the various outcomes. When we compared OS for the groups defined molecularly at 6 and 12 months with the usual cytogenetic milestones, categorization by transcript numbers was the only independent predictor for OS (relative risk, 0.207; P < .001 and relative risk, 0.158; P < .001, respectively). CONCLUSION: A single measurement of BCR-ABL1 transcripts performed at 3 months is the best way to identify patients destined to fare poorly, thereby allowing early clinical intervention.


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