TY - JOUR
T1 - Inferring the initiation and development of myeloproliferative neoplasms
AU - Hermange, Gurvan
AU - Rakotonirainy, Alicia
AU - Bentriou, Mahmoud
AU - Tisserand, Amandine
AU - El-Khoury, Mira
AU - Girodon, François
AU - Marzac, Christophe
AU - Vainchenker, William
AU - Plo, Isabelle
AU - Cournede, Paul Henry
N1 - Publisher Copyright:
Copyright © 2022 the Author(s). Published by PNAS. This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND)
PY - 2022/9/13
Y1 - 2022/9/13
N2 - 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.
AB - 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.
KW - JAK2/CALR mutations
KW - approximate bayesian computation
KW - cancer early detection
KW - mathematical modeling of cell populations
KW - myeloproliferative neoplasms
UR - http://www.scopus.com/inward/record.url?scp=85138126865&partnerID=8YFLogxK
U2 - 10.1073/pnas.2120374119
DO - 10.1073/pnas.2120374119
M3 - Article
C2 - 36083966
AN - SCOPUS:85138126865
SN - 0027-8424
VL - 119
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 37
M1 - e2120374119
ER -