Classical Myelo-Proliferative Neoplasms emergence and development based on real life incidence and mathematical modeling
giraudier, s.; Baranda, A. F.; Bansaye, V.; Lauret, E.; Mounier, M.; Ugo, V.; Meleard, S.; Giraudier, S.
Show abstract
Mathematical modelling allows us to better understand the emergence and evolution of myeloproliferative neoplasms. We tested different mathematical models on a first cohort (patients) (Cote dOr Registry) to determine the onset and evolution times before JAK2V617F classical myeloproliferative disorders (polycythemia vera and essential thrombocythemia) are diagnosed. We considered the time to diagnosis as the sum of two periods: the time (from embryonic development) for the JAK2V617F mutation to appear, not disappear and enter proliferation, and a second period corresponding to the expansion of the clonal population until diagnosis. Using increasingly complex models, we show that the rate of active mutation cannot be constant, but rather increases exponentially with age, following the well-known Gompertz model. We found that it takes an average of 63.1 +/- 13 years for the first tumor cell to appear and start proliferating. On the other hand, the expansion time is constant: 8.8 years once the mutation has occurred. These results were validated in an external cohort (national FIMBANK cohort). Using this model, we analyzed JAK2V167F Essential Thrombocythemia versus Polycythemia Vera and found that the time to active mutation in PV is about 1.5 years longer than in ET, while the expansion time is similar. In conclusion, our multi-step approach and the final age-dependent model for the onset and development of MPN shows that the onset of a JAKV617F mutation should be linked to an ageing mechanism and indicates a period of 8-9 years for the development of a full MPN.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The Synergy of Damage Repair and Retention Promotes Rejuvenation and Prolongs Healthy Lifespans in Cell Lineages 92%
- Model guided trait-specific co-expression network estimation as a new perspective for identifying molecular interactions and pathways 92%
- A time-series analysis of blood-based biomarkers within a 25-year longitudinal dolphin cohort. 92%
Similar papers in this journal
- In Silico Investigation of the Role of Local and Global Inflammation-Driven Feedback in Myelopoiesis and Clonal Cell Expansion 93%
- Somatic selection of poorly differentiating variant stem cell clones could be a key to human ageing 92%
- A comparison of mtDNA deletion mutant proliferation mechanisms 91%
Similar papers in this journal
- Topological Structures in the Space of Treatment-Naive Patients With Chronic Lymphocytic Leukemia 91%
- Standing Variations Modeling Captures Inter-Individual Heterogeneity in a Deterministic Model of Prostate Cancer Response to Combination Therapy 91%
- Agent-Based Modeling of Virtual Tumors Reveals the Critical Influence of Microenvironmental Complexity on Immunotherapy Efficacy 91%
Similar papers in this journal
- Quantitative mathematical modeling of clinical brain metastasis dynamics in non-small cell lung cancer 92%
- Easing COVID-19 lockdown measures while protecting the older restricts the deaths to the level of the full lockdown 91%
- Dynamical effects of dendritic pruning implicated in aging and neurodegeneration: Towards a measure of neuronal reserve 91%
Similar papers in this journal
- Extreme value theory as a general framework for understanding mutation frequency distribution in cancer genomes 93%
- Mathematical bridge between epidemiological and molecular data on cancer and beyond 91%
- Gene prioritization based on random walks with restarts and absorbing states, to define gene sets regulating drug pharmacodynamics from single-cell analyses 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.