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Blood, 3 September 2009, Vol. 114, No. 10, pp. 2037-2043.
Prepublished online as a Blood First Edition Paper on June 30, 2009; DOI 10.1182/blood-2009-01-197715.


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CLINICAL TRIALS AND OBSERVATIONS

Long-term outcome of patients with chronic myeloid leukemia treated with second-generation tyrosine kinase inhibitors after imatinib failure is predicted by the in vitro sensitivity of BCR-ABL kinase domain mutations

Elias Jabbour1,*, Daniel Jones2,*, Hagop M. Kantarjian1, Susan O'Brien1, Constantine Tam1, Charles Koller1, Jan A. Burger1, Gautam Borthakur1, William G. Wierda1, and Jorge Cortes1

Departments of 1 Leukemia and 2 Hematopathology, University of Texas M. D. Anderson Cancer Center, Houston

Secondary imatinib resistance in chronic myeloid leukemia (CML) is associated in approximately 50% of cases with mutations in the BCR-ABL kinase domain, necessitating switch to one of several new tyrosine kinase inhibitors (TKIs) that act differentially on mutated BCR-ABL. We assess here whether scoring mutation based on in vitro inhibitory concentration of each TKI-mutation pair can predict long-term clinical outcome. Among 169 patients with CML after imatinib failure, mutations were detected before TKI switch in 41 (48%) treated with dasatinib and 45 (52%) treated with nilotinib. Inhibitory concentration values for each TKI-mutation pair were stratified into high (n = 42), intermediate (n = 25), low (T315I, n = 9), or unknown sensitivity (n = 10). Hematologic and cytogenetic response rates were similar for patients with or without mutations. For patients in chronic phase, hematologic and cytogenetic responses correlated with mutation score; tumors with low and intermediate scores had lower response rates than those with highly sensitive mutations, and worse event-free and overall survival. These correlations with overall survival were not seen for advanced phases. Mutation scoring can predict outcome in CML-chronic phase with imatinib failure treated with second-generation TKIs and can help in therapy selection. More complex prognostic models will be required for advanced stages of disease.


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