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Modelling of Immune Response in Chronic Myeloid Leukemia Patients Suggests Potential for Treatment Reduction Prior to Cessation

Overview
Journal Front Oncol
Specialty Oncology
Date 2022 Dec 26
PMID 36568156
Authors
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Abstract

Introduction: Discontinuation of tyrosine kinase inhibitor (TKI) treatment is emerging as the main therapy goal for Chronic Myeloid Leukemia (CML) patients. The DESTINY trial showed that TKI dose reduction prior to cessation can lead to an increased number of patients achieving sustained treatment free remission (TFR). However, there has been no systematic investigation to evaluate how dose reduction regimens can further improve the success of TKI stop trials.

Methods: Here, we apply an established mathematical model of CML therapy to investigate different TKI dose reduction schemes prior to therapy cessation and evaluate them with respect to the total amount of drug used and the expected TFR success.

Results: Our systematic analysis confirms clinical findings that the overall time of TKI treatment is a major determinant of TFR success, while highlighting that lower dose TKI treatment for the same duration is equally sufficient for many patients. Our results further suggest that a stepwise dose reduction prior to TKI cessation can increase the success rate of TFR, while substantially reducing the amount of administered TKI.

Discussion: Our findings illustrate the potential of dose reduction schemes prior to treatment cessation and suggest corresponding and clinically testable strategies that are applicable to many CML patients.

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References
1.
Druker B, Guilhot F, OBrien S, Gathmann I, Kantarjian H, Gattermann N . Five-year follow-up of patients receiving imatinib for chronic myeloid leukemia. N Engl J Med. 2006; 355(23):2408-17. DOI: 10.1056/NEJMoa062867. View

2.
Shah N, Rousselot P, Schiffer C, Rea D, Cortes J, Milone J . Dasatinib in imatinib-resistant or -intolerant chronic-phase, chronic myeloid leukemia patients: 7-year follow-up of study CA180-034. Am J Hematol. 2016; 91(9):869-74. PMC: 5094534. DOI: 10.1002/ajh.24423. View

3.
Clapp G, Lepoutre T, El Cheikh R, Bernard S, Ruby J, Labussiere-Wallet H . Implication of the Autologous Immune System in BCR-ABL Transcript Variations in Chronic Myelogenous Leukemia Patients Treated with Imatinib. Cancer Res. 2015; 75(19):4053-62. DOI: 10.1158/0008-5472.CAN-15-0611. View

4.
Etienne G, Guilhot J, Rea D, Rigal-Huguet F, Nicolini F, Charbonnier A . Long-Term Follow-Up of the French Stop Imatinib (STIM1) Study in Patients With Chronic Myeloid Leukemia. J Clin Oncol. 2017; 35(3):298-305. DOI: 10.1200/JCO.2016.68.2914. View

5.
Horn M, Glauche I, Muller M, Hehlmann R, Hochhaus A, Loeffler M . Model-based decision rules reduce the risk of molecular relapse after cessation of tyrosine kinase inhibitor therapy in chronic myeloid leukemia. Blood. 2012; 121(2):378-84. DOI: 10.1182/blood-2012-07-441956. View