Inferring the initiation and development of myeloproliferative neoplasms
Cet article présente une approche, combinant modélisation mathématique et inférence statistique, pour déterminer l'évolution de néoplasies myéloprolifératives et mettre en place des stratégies de dépistage
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.
Proceedings of the National Academy of Sciences , résumé, 2022