ArticleFrontiers in oncology2022
Modelling of immune response in chronic myeloid leukemia patients suggests potential for treatment reduction prior to cessation.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Predicting treatment-free remission in chronic myeloid leukemia patients using an integrated model of tumor-immune dynamics.NPJ systems biology and applications · 2025Article
- TKI Use and Treatment-Free Remission in Chronic Myeloid Leukemia: Evidence from a Regional Cohort Study in the Canary Islands.Hematology reports · 2025Article
- Cases of Patients Treated in Countries With Limited Resources and Discussed by Experts of the International CML Foundation (iCMLf)-Case No. 2: Treatment-Free Remission After 9 Years of Imatinib Treatment Without Prior Achievement of Sustained Deep Molecular Response.Case reports in oncological medicine · 2025Article
- Computational modeling reveals key factors driving treatment-free remission in chronic myeloid leukemia patients.NPJ systems biology and applications · 2024Article
- Data integration between clinical research and patient care: A framework for context-depending data sharing and in silico predictions.PLOS digital health · 2023Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
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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