12–17 Jul 2026
University of Graz
Europe/Vienna timezone

Mechanistic mathematical modeling of primary myelofibrosis pathophysiology and progression

17 Jul 2026, 09:30
20m
02.21 - HS (University of Graz)

02.21 - HS

University of Graz

136
Contributed Talk Mathematical Oncology Contributed Talks

Speaker

Qiujie Wang (RWTH Aachen University)

Description

Primary myelofibrosis (PMF) is a malignant clonal disease of the hematopoietic system. It is characterized by an excess of fiber production in the bone marrow and eventually leads to an impaired blood cell formation and an increased risk of leukemic transformation. Although driver mutations in the genes for JAK2, CALR, and MPL have been identified in most patients, the pathophysiologic mechanisms remain incompletely understood, and curative treatment options are limited.
We developed a mechanistic non-linear ordinary differential equation model to investigate the dynamic interactions between healthy and malignant hematopoietic cells during PMF progression. The model incorporates competition for niche space, fibrosis-driven niche deterioration, differentiation dynamics and feedback regulations.
The model successfully reproduces the dynamics of mature blood cells across different disease stages. In particular, leukocyte and platelet counts increase during the early disease phase and subsequently decline, consistently with clinical observations. Simulations further indicate that the clonal expansion and competition may start decades before clinical manifestation.
Our model offers mechanistic insights into how niche deterioration and stem cell competition shape disease dynamics and contribute to inter-individual heterogeneity of the clinical course. The model can be used to identify potential therapeutic strategies aimed at preserving niche function and restoring hematopoiesis.

Authors

Qiujie Wang (RWTH Aachen University) Steffen Koschmieder (Department of Hematology, Oncology, Hemostaseology, and Stem Cell Transplantation, Faculty of Medicine, RWTH Aachen University, and Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO-ABCD), Aachen, Germany) Thomas Stiehl (Institute for Computational Biomedicine & Disease Modeling, RWTH Aachen University Hospital, Aachen, Germany and Center for Computational Life Sciences (CCLS) RWTH Aachen University, Aachen, Germany and Department of Science and Environment Roskilde University, Roskilde, Denmark)

Presentation materials

There are no materials yet.