| Literature DB >> 36083966 |
Gurvan Hermange1, Alicia Rakotonirainy1, Mahmoud Bentriou1, Amandine Tisserand2,3,4, Mira El-Khoury2,3,4, François Girodon5,6, Christophe Marzac2,3,7,8, William Vainchenker2,3,7, Isabelle Plo2,3,7, Paul-Henry Cournède1.
Abstract
The developmental history of blood cancer begins with mutation acquisition and the resulting malignant clone expansion. The two most prevalent driver mutations found in myeloproliferative neoplasms-JAK2V617F and CALRm-occur in hematopoietic stem cells, which are highly complex to observe in vivo. To circumvent this difficulty, we propose a method relying on mathematical modeling and statistical inference to determine disease initiation and dynamics. Our findings suggest that CALRm mutations tend to occur later in life than JAK2V617F. Our results confirm the higher proliferative advantage of the CALRm malignant clone compared to JAK2V617F. Furthermore, we illustrate how mathematical modeling and Bayesian inference can be used for setting up early screening strategies.Entities:
Keywords: JAK2/CALR mutations; approximate bayesian computation; cancer early detection; mathematical modeling of cell populations; myeloproliferative neoplasms
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Year: 2022 PMID: 36083966 PMCID: PMC9478641 DOI: 10.1073/pnas.2120374119
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 12.779