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Studying the Age of Onset and Detection of Chronic Myeloid Leukemia Using a Three-Stage Stochastic Model

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dc.contributor.author NAG, SURYADEEPTO en_US
dc.contributor.author BHAT, ANANDA SHIKHARA en_US
dc.contributor.author Chakrabarty, Siddhartha P. en_US
dc.date.accessioned 2024-05-29T07:21:53Z
dc.date.available 2024-05-29T07:21:53Z
dc.date.issued 2024-06 en_US
dc.identifier.citation Journal of Biological Systems, 32(02), 529-546. en_US
dc.identifier.issn 0218-3390 en_US
dc.identifier.issn 1793-6470 en_US
dc.identifier.uri https://doi.org/10.1142/S0218339024500190 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8969
dc.description.abstract Chronic Myeloid Leukemia (CML) is a biphasic malignant clonal disorder that progresses, first with a chronic phase, where the cells have enhanced proliferation only, and then to a blast phase, where the cells have the ability of self-renewal. It is well recognized that the Philadelphia chromosome (which contains the BCR-ABL fusion gene) is the “hallmark of CML”. However, empirical studies have shown that the mere presence of BCR-ABL may not be a sufficient condition for the development of CML, and further modifications related to tumor suppressors may be necessary. Accordingly, we develop a three-mutation stochastic model of CML progression, with the three stages corresponding to the non-malignant cells with BCR-ABL presence, the malignant cells in the chronic phase, and the malignant cells in the blast phase. We demonstrate that the model predictions agree with age incidence data from the United States. Finally, we develop a framework for the retrospective estimation of the time of onset of malignancy, from the time of detection of the cancer. en_US
dc.language.iso en en_US
dc.publisher World Scientific Publishing en_US
dc.subject Age-incidence en_US
dc.subject Branching Process en_US
dc.subject 2024 en_US
dc.subject 2024-MAY-WEEK3 en_US
dc.subject TOC-MAY-2024 en_US
dc.title Studying the Age of Onset and Detection of Chronic Myeloid Leukemia Using a Three-Stage Stochastic Model en_US
dc.type Article en_US
dc.contributor.department Dept. of Humanities and Social Sciences en_US
dc.identifier.sourcetitle Journal of Biological Systems en_US
dc.publication.originofpublisher Foreign en_US


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