Literature DB >> 26359456

Implication of the Autologous Immune System in BCR-ABL Transcript Variations in Chronic Myelogenous Leukemia Patients Treated with Imatinib.

Geoffrey D Clapp1, Thomas Lepoutre2, Raouf El Cheikh2, Samuel Bernard2, Jérémy Ruby3, Hélène Labussière-Wallet3, Franck E Nicolini3, Doron Levy4.   

Abstract

Imatinib and other tyrosine kinase inhibitors (TKI) have improved treatment of chronic myelogenous leukemia (CML); however, most patients are not cured. Deeper mechanistic understanding may improve TKI combination therapies to better control the residual leukemic cell population. In analyzing our patients' data, we found that many patients who otherwise responded well to imatinib therapy still showed variations in their BCR-ABL transcripts. To investigate this phenomenon, we applied a mathematical model that integrates CML and an autologous immune response to the patients' data. We define an immune window or a range of leukemic loads for which the autologous immune system induces an improved response. Our modeling results suggest that, at diagnosis, a patient's leukemic load is able to partially or fully suppress the autologous immune response developed in a majority of patients, toward the CML clone(s). Imatinib therapy drives the leukemic population into the "immune window," allowing the patient's autologous immune cells to expand and eventually mount an efficient recognition of the residual leukemic burden. This response drives the leukemic load below this immune window, allowing the leukemic population to partially recover until another weaker immune response is initiated. Thus, the autologous immune response may explain the oscillations in BCR-ABL transcripts regularly observed in patients on imatinib. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 26359456     DOI: 10.1158/0008-5472.CAN-15-0611

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  5 in total

1.  Long-term treatment effects in chronic myeloid leukemia.

Authors:  Apollos Besse; Thomas Lepoutre; Samuel Bernard
Journal:  J Math Biol       Date:  2017-01-25       Impact factor: 2.259

2.  BCR-ABL transcript variations in chronic phase chronic myelogenous leukemia patients on imatinib first-line: Possible role of the autologous immune system.

Authors:  Geoffrey D Clapp; Thomas Lepoutre; Franck E Nicolini; Doron Levy
Journal:  Oncoimmunology       Date:  2016-01-08       Impact factor: 8.110

Review 3.  Mathematical models of breast and ovarian cancers.

Authors:  Dana-Adriana Botesteanu; Stanley Lipkowitz; Jung-Min Lee; Doron Levy
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2016-06-03

4.  Quantitative prediction of long-term molecular response in TKI-treated CML - Lessons from an imatinib versus dasatinib comparison.

Authors:  Ingmar Glauche; Matthias Kuhn; Christoph Baldow; Philipp Schulze; Tino Rothe; Hendrik Liebscher; Amit Roy; Xiaoning Wang; Ingo Roeder
Journal:  Sci Rep       Date:  2018-08-17       Impact factor: 4.379

5.  Dynamical models of mutated chronic myelogenous leukemia cells for a post-imatinib treatment scenario: Response to dasatinib or nilotinib therapy.

Authors:  Clemens Woywod; Franz X Gruber; Richard A Engh; Tor Flå
Journal:  PLoS One       Date:  2017-07-05       Impact factor: 3.240

  5 in total

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