ONCO-05

Dynamical modeling of cell-state transitions in cancer therapy resistance

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Organizers:

Mohit Kumar Jolly (Indian Institute of Science), Sarthak Sahoo (Indian Institute of Science)

Description:

The ability of cancer cells to dynamically alter their cell-state/phenotype in response to stress, including existing therapies, poses a major impediment to effective cancer treatment. Latest experimental advancements have enabled a better characterization of such cell-state transitions and driven the development of mathematical models that can both offer mechanistic understanding and suggest new potent strategies (combinatorial, sequential, adaptive) for clinical management. This proposed mini-symposium brings together 8 experts across diverse academic backgrounds (oncology, mathematics, engineering), geography (Sweden, India, USA, Canada), career stages (from senior PhD students to full Professors) and genders (4 men, 4 women) to present their latest exciting work in this direction. These experts will discuss how an iterative interdisciplinary crosstalk among multi-scale mathematical models and quantitative experimental and clinical data has unraveled diverse regulatory mechanisms (transcriptional, epigenetic, signalling) contribute to cell-state transitions and consequent heterogeneity in a cell population, and its implications in mediating drug tolerance or resistance for multiple existing therapies, and eventually suggesting new therapeutic strategies that can overcome current clinical challenges.

Diversity Statement:



Rebecca Beckker (University of Southern California, USA)

"Modeling Cell-State Dynamics to Unravel and Counteract Immune Suppression in Breast Cancer Immunotherapy"



James Greene (Clarkson University, USA)

"Understanding therapeutic tolerance through a mathematical model of drug-induced resistance"



Sara Hamis (Uppsala University, Sweden)

"Growth rate-driven modelling of drug-induced phenotypic adaptation in BRAFV600E-mutant melanoma"



Sarthak Sahoo (Indian Institute of Science)

"Mathematical modeling of multi-axis plasticity in breast cancer"



David Cook (University of Ottawa)

"Developmental constraints on cellular plasticity in ovarian cancer"



Jill Gallaher (Moffitt Cancer Center)

"Selection for optimal evolvability during tumor growth and treatment"



Cordelia McGehee (Mayo Clinic)

"Chemotherapy dosing as a driver of population evolution in models of intra-tumoral cell-cell competition in cancer"



Russell Rockne (City of Hope National Medical Center)

"Leukemia is an eigenstate of the epigenome"



SMB2025
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Annual Meeting for the Society for Mathematical Biology, 2025.