Chronic Myeloid Leukemia (CML) is a slowly progressing cancer that makes the body produce too many cancerous myeloid white blood cells. The molecular characteristics of CML is the presence of a Philadelphia (Ph) chromosome, created by a reciprocal translocation of chromosomes 9 and 22 which generates the fusion oncogene BCR-ABL. The introduction of the ABL tyrosine kinase inhibitor imatinib (Gleevec) for the treatment of CML represents the first example of a successful targeted therapy. Despite its striking efficacy, however, the developement of resistance to imatinib is observed in a proportion of patients, expecially those with advanced-stage CML. In the present work, the dynamics of the cancer progression is modelled by considering the stochastic evolution a population ofN reproducing cells which can experience genetic mutations. Several scenarios of the evolutionary dynamics of imatinibtreated leukaemic cells are described as a consequence of the efficacy of the different modelled therapies. The development of resistance is also investigated.

Pizzolato, N., Valenti, D., Persano Adorno, D., Spagnolo, B. (2007). Stochastic modelling of imatinib-treated leukemic cell dynamics [Altro].

Stochastic modelling of imatinib-treated leukemic cell dynamics

VALENTI, Davide;PERSANO ADORNO, Dominique;SPAGNOLO, Bernardo
2007-01-01

Abstract

Chronic Myeloid Leukemia (CML) is a slowly progressing cancer that makes the body produce too many cancerous myeloid white blood cells. The molecular characteristics of CML is the presence of a Philadelphia (Ph) chromosome, created by a reciprocal translocation of chromosomes 9 and 22 which generates the fusion oncogene BCR-ABL. The introduction of the ABL tyrosine kinase inhibitor imatinib (Gleevec) for the treatment of CML represents the first example of a successful targeted therapy. Despite its striking efficacy, however, the developement of resistance to imatinib is observed in a proportion of patients, expecially those with advanced-stage CML. In the present work, the dynamics of the cancer progression is modelled by considering the stochastic evolution a population ofN reproducing cells which can experience genetic mutations. Several scenarios of the evolutionary dynamics of imatinibtreated leukaemic cells are described as a consequence of the efficacy of the different modelled therapies. The development of resistance is also investigated.
2007
Pizzolato, N., Valenti, D., Persano Adorno, D., Spagnolo, B. (2007). Stochastic modelling of imatinib-treated leukemic cell dynamics [Altro].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/38120
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