Over the last decade our team has developed a set of partial differential equations that capture key features of tumors growth and treatment response related to tumor cell migration, proliferation, treatment response, and tissue mechanical properties. These models can be calibrated with widely-available medical imaging data to accurately predict the spatio-temporal changes of solid tumors in response to both radiation and systemic therapies. We will briefly summarize those results for cancers of the brain and breast, and then show how these models power digital twins to identify alternative therapeutic regimens that are hypothesized to outperform the standard-of-care interventions. In the case of high-grade gliomas, we will show how our digital twins can be used to identify personalized treatment plans predicted to reduce tumor burden 24% more than the standard-of-care approach one month after treatment (n = 15), while maintaining toxicity in the organs-at-risk within acceptable clinical limits. In the case of breast cancer, we have used digital twins to personalize neoadjuvant chemotherapy schedules (n = 105) to yield therapeutic strategies that are hypothesized to increase the pathological complete response rate by at least 20%. Furthermore, we have used our digital twin formalism to virtually recapitulate the results of three key clinical trials that led to the current backbone for neoadjuvant therapy. While the results we will present will focus only on cancers of the brain and breast, we emphasize that since our digital twins are based on key underlying biology and physics features of cancer, they are applicable to any solid tumor for which the requisite imaging data is available.
Mathematical Oncology Subgroup (ONCO)
Ad hoc subgroup meeting room(reserved for subgroup activities):TBD
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Sub-group minisymposia
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ONCO-04
(Part 1)
Digital twins for clinical oncology and cancer research
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ONCO-04
(Part 1)
Organized by: Guillermo Lorenzo (University of A Coruna (Spain)), Chengyue Wu (The University of Texas MD Anderson Cancer Center, US), Ernesto A. B. F. Lima (The University of Texas at Austin, US)
Note: this minisymposia has multiple sessions. The other session is: and Part-2.
- Thomas E. Yankeelov The University of Texas at Austin "A practical computational framework for systematically investigating alternative treatment strategies for cancer"
- Maximilian Strobl Cleveland Clinic "What pre-clinical experiments can teach us about digital twins for personalized cancer treatment scheduling"
- Renee Brady-Nicholls H. Lee Moffitt Cancer Center & Research Institute "Investigating Response Differences between African American and European American Prostate Cancer Patients Through an In Silico Study"
- Fatemeh Beigmohammadi Université de Montréal "Efficient methods for generating virtual patient cohorts using trajectory-matching ABC-MCMC"
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ONCO-07
(Part 1)
Dynamical modeling of cell-state transitions in cancer therapy resistance
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ONCO-07
(Part 1)
Organized by: Mohit Kumar Jolly (Indian Institute of Science), Sarthak Sahoo (Indian Institute of Science)
Note: this minisymposia has multiple sessions. The other session is: and Part-2.
- Rebecca A Bekker University of Southern California "Modeling Cell-State Dynamics to Unravel and Counteract Immune Suppression in Breast Cancer Immunotherapy"
- James Greene Clarkson University "Understanding therapeutic tolerance through a mathematical model of drug-induced resistance"
- Sara Hamis Uppsala University "Growth rate-driven modelling elucidates phenotypic adaptation in BRAFV600E-mutant melanoma"
- Sarthak Sahoo Indian Institute of Science "Mathematical modelling of multi-axis plasticity in ER+ breast cancer"
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ONCO-10
Systems Approaches to Cancer Biology
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ONCO-10
Organized by: Ashlee N. Ford Versypt (University at Buffalo, State University of New York), John Metzcar, University of Minnesota
- Ashlee N. Ford Versypt University at Buffalo, State University of New York "Agent-Based Modeling of the Transwell Migration Assay to Inform Tumor-Immune Microenvironment Simulations"
- Aaron Meyer University of California, Los Angeles "Bridging single cell features to the tissue and patient scale with tensor modeling"
- Erzsébet Ravasz Regan The College of Wooster "Cell Interrupted — Modular Boolean Modeling of the Coordination between Mitochondrial Dysfunction-Associated Senescence, Cell Cycle Control and the Epithelial to Mesenchymal Transition"
- Stacey D. Finley University of Southern California "Systems biology modeling and analyses of metabolic phenotypes in the tumor microenvironment"
Timeblock: MS02
ONCO-06
(Part 1)
Data-driven integration and modeling of cellular processes in cell motility and cancer progression: Experiments and mathematical models
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ONCO-06
(Part 1)
Organized by: Yangjin Kim (Brown University and Konkuk University), Magdalena Stolarska at University of St. Thomas
Note: this minisymposia has multiple sessions. The other session is: and Part-2.
- Magda Stolarska University of St. Thomas "A mathematical model of active cortical stress generation and its effect on cell movement"
- Dumitru Trucu University of Dundee "Advancements in multiscale modelling for glioblastoma: emergence of 'on-the-fly' non-local isotropic-to-anisotropic transition in cell population transport"
- Padmini Rangamani University of California San Diego "Modeling collagen fibril degradation as a function of matrix microarchitecture"
- Noe Mercado Warren Alpert Medical School, Brown University "Impact of Cytomegalovirus on Glioblastoma progression"
Timeblock: MS03
ONCO-02
Advances in Optimal Control Methods for Diverse Modeling Frameworks
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ONCO-02
Organized by: Hannah Anderson (Moffitt Cancer Center), Kasia Rejniak, Moffitt Cancer Center
- Hannah Anderson Moffitt Cancer Center "Evaluating robustness of an optimized regimen in a virtual murine cohort of bladder cancer"
- Christian Parkinson Michigan State University "Optimal control of a reaction-diffusion epidemic model with noncompliance"
- Xinyue Zhao University of Tennessee Knoxville "Optimal control of free boundary models for tumor growth"
- Luis Maria Lopes da Fonseca University of Florida "Surrogate modeling and control of medical digital twins"
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ONCO-01
Data-informed mathematical modeling in cancer and development
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ONCO-01
Organized by: Changhan He (University of California, Irvine), Chengyue Wu, University of Texas MD Anderson Cancer Center
- Lifeng Han Tulane University "Calibrate a phenotype-structured population model with cell viability data to study drug resistance in cancer treatment"
- Wenjun Zhao Wake Forest University "Dynamical GRN inference via optimal transport"
- Qixuan Wang University of California, Riverside "Hair follicle cell fate regulations and the effect on the follicle growth control"
- Axel Almet University of California, Irvine "Systems modeling of cellular senescence using single-cell transcriptomics"
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ONCO-08
(Part 1)
Decoding Drug-Induced Persistence: Experiments, Models, and Optimal Drug Scheduling
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ONCO-08
(Part 1)
Organized by: Einar Bjarki Gunnarsson (Science Institute, University of Iceland), Maximilian Strobl (Cleveland Clinic, USA, stroblm@ccf.org)
Note: this minisymposia has multiple sessions. The other session is: and Part-2.
- Einar Bjarki Gunnarsson Science Institute, University of Iceland "Decoding drug-induced persistence: Integrating theory with experiments and optimizing dosing protocols"
- Mattia Corigliano IFOM - The AIRC Institute of Molecular Oncology, Milan, Italy "Optimal treatment for drug-induced cancer persisters involves release periods and intermediate drug doses"
- Irina Kareva Northeastern University "Dosing Strategies for Bispecifics with a Bell-Shaped Efficacy Curve: What Looks Like Resistance May Be Corrected Through Schedule Adjustments"
- Tatiana Miti Moffitt Cancer Center & Research Institute "ABM studies on the role of the drug-sheltering effects of stroma on the emergence of resistance"
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ONCO-03
(Part 1)
MathOnco Subgroup Mini-Symposium: At the Interface of Modeling and Machine Learning
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ONCO-03
(Part 1)
Organized by: Jana Gevertz (The College of New Jersey), Thomas Hillen (University of Alberta), Linh Huynh (Dartmouth College)
Note: this minisymposia has multiple sessions. The other session is: and Part-2.
- Thomas E. Yankeelov The University of Texas at Austin "Integrating mechanism-based and data driven modeling to predict breast cancer response to neoadjuvant chemotherapy"
- Paul Macklin Indiana University "Integrating high-throughput exploration and learning with agent-based models of cancer"
- Adam L. MacLean University of Southern California "Dynamic rewiring of cell-cell interaction networks in metastatic TMEs to empower checkpoint inhibition"
- Venkata Manem Centre de Recherche du CHU de Québec; Université Laval, Canada Université Laval, Canada "Beyond the One-Size-Fits-All Paradigm: Leveraging Bioinformatics and AI to Advance Biomarker-Guided Oncology."
Timeblock: MS06
ONCO-06
(Part 2)
Data-driven integration and modeling of cellular processes in cell motility and cancer progression: Experiments and mathematical models
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ONCO-06
(Part 2)
Organized by: Yangjin Kim (Brown University and Konkuk University), Magdalena Stolarska at University of St. Thomas
Note: this minisymposia has multiple sessions. The other session is: and Part-1.
- Donggu Lee Konkuk University "Asthma-mediated control of optic glioma growth via T cell-microglia interactions: Mathematical model"
- Ji Young Yoo University of Texas Health Science Center at Houston "Reshaping the Tumor Microenvironment by targeting IGF2-IGF1R signaling: Enhancing Viro-Immunotherapy"
- Alexandra Shyntar University of Alberta "Mathematical Modelling of Microtube-Driven Regrowth of Glioma After Local Resection"
- Sean Lawler The Warren Alpert Medical School, Brown University "Remodeling the Tumor Microenvironment to Facilitate Glioblastoma Therapy"
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ONCO-05
Immune responses to cancer: from mathematics to clinics
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ONCO-05
Organized by: Raluca EFTIMIE (University of Marie & Louis Pasteur, France), Dumitru TRUCU, University of Dundee, UK
- 1. Marom Yosef*, Svetlana Bunimovich Ariel University "Mathematical Models to Improve Bladder Cancer Therapies"
- Haralampos Hatzikirou: Khalifa University "From cell patterns in biopsies to clinical predictions"
- Ali Daher University of Marie & Louis Pasteur "Integrating High-Throughput Genomic Data with Biologically-Informed Models of Spatiotemporal Dynamics of Skin Lesions: A Computational Parameter Extraction Pipeline"
- Donggu Lee(*,1), Sunju Oh(2), Sean Lawler(3), and Yangjin Kim (1,3) (1) Konkuk University, (2) Konkuk University, (3) Brown University "Bistable dynamics of TAN-NK cells in tumor growth and control of radiotherapy-induced neutropenia in lung cancer treatment"
Timeblock: MS07
ONCO-08
(Part 2)
Decoding Drug-Induced Persistence: Experiments, Models, and Optimal Drug Scheduling
Timeblock: MS07
ONCO-08
(Part 2)
Organized by: Einar Bjarki Gunnarsson (Science Institute, University of Iceland), Maximilian Strobl (Cleveland Clinic, USA, stroblm@ccf.org)
Note: this minisymposia has multiple sessions. The other session is: and Part-1.
- Jana Gevertz The College of New Jersey "Mitigating non-genetic resistance to checkpoint inhibition based on multiple states of exhaustion"
- Raymond Ng University of Pennsylvania "The role of tumor gene expression variability in evading CD8+ T cells"
- Chenyu Wu University of Minnesota "A statistical framework for detecting therapy-induced resistance from drug screens"
- Michael Cotner The University of Texas at Austin "Tracking Resistance to Targeted Therapy in TNBC with Cell Barcodes"
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ONCO-09
Mathematical Modeling of the Tumor-Immune Microenvironment to Advance Immunotherapeutic Strategies
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ONCO-09
Organized by: Tyler Simmons (Therapy Modeling and Design Center, University of Minnesota), John Metzcar and Sarah Anderson: Therapy Modeling and Design Center, University of Minnesota
- Gabriel Côté Sainte-Justine University Hospital Azrieli Research Centre / Université de Montréal "The role of chronobiology on immunotherapies to prevent neutrophil infiltration into the tumour microenvironment in lung cancer"
- Jason T. George, MD, PhD Texas A&M University "Stochastic modeling of immunomodulation in the tumor-immune microenvironment"
- Riley Manning University of Minnesota "Agent-based modeling of glioblastoma immunotherapy strategies"
- Katherine Owens Fred Hutchinson Cancer Center, Seattle, WA "Spatiotemporal dynamics of tumor - CAR T-cell interaction following local administration in solid cancers"
Timeblock: MS08
ONCO-04
(Part 2)
Digital twins for clinical oncology and cancer research
Timeblock: MS08
ONCO-04
(Part 2)
Organized by: Guillermo Lorenzo (University of A Coruna (Spain)), Chengyue Wu (The University of Texas MD Anderson Cancer Center, US), Ernesto A. B. F. Lima (The University of Texas at Austin, US)
Note: this minisymposia has multiple sessions. The other session is: and Part-1.
- Heber L. Rocha Indiana University "Agent-Based Modeling of Cancer Drug Response with PKPD Calibration Challenges and Personalized Modeling"
- Marianna Cerasuolo University of Sussex "Mathematical and Statistical Insights into Gut Microbiota–Phytocannabinoid–Diet Interplay in Prostate Cancer Progression in Mice"
- Guillermo Lorenzo University of A Coruna "Patient-specific forecasting of prostate cancer progression to higher-risk disease during active surveillance"
- David A. Hormuth, II The University of Texas at Austin Texas "Image-based habitat dynamics in patients with head and neck cancer undergoing radiotherapy"
Timeblock: MS09
ONCO-03
(Part 2)
MathOnco Subgroup Mini-Symposium: At the Interface of Modeling and Machine Learning
Timeblock: MS09
ONCO-03
(Part 2)
Organized by: Jana Gevertz (The College of New Jersey), Thomas Hillen (University of Alberta), Linh Huynh (Dartmouth College)
Note: this minisymposia has multiple sessions. The other session is: and Part-1.
- John Metzcar University of Minnesota "Evaluation of mechanistic and machine learning modeling approaches for glioblastoma recurrence prediction using white blood cell dynamics"
- Lena Podina University of Waterloo "Universal Physics-Informed Neural Networks and Their Applications"
- Kit Gallagher University of Oxford, Moffitt Cancer Center "Predicting Treatment Outcomes from Adaptive Therapy — A New Mathematical Biomarker"
Timeblock: MS09
ONCO-07
(Part 2)
Dynamical modeling of cell-state transitions in cancer therapy resistance
Timeblock: MS09
ONCO-07
(Part 2)
Organized by: Mohit Kumar Jolly (Indian Institute of Science), Sarthak Sahoo (Indian Institute of Science)
Note: this minisymposia has multiple sessions. The other session is: and Part-1.
- David P Cook Ottawa Hospital Research Institute "Phenotypic constraints in ovarian cancer - a new perspective on targeted therapy"
- Jill Gallaher Moffitt Cancer Center "Dynamic 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 C Rockne Beckman Research Institute, City of Hope "State-transitions at the single cell and system levels in chronic and acute myeloid leukemia"
Sub-group contributed talks
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ONCO-01
ONCO Subgroup Contributed Talks
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ONCO-01
- Gustav Lindwall Max Planck Institute for Evolutionary Biology "A Mathematical Model for Pseudo-Progression in CAR-T therapy of B-cell Lymphomas"
- Rafael Bravo University of Texas at Austin "Testing the feasibility of estimating the migration to proliferation rate ratio in glioblastoma from single time-point MRI data"
- Aaron Li University of Minnesota "Using a pharmacokinetic ctDNA shedding model to develop a biomarker of tumor response to targeted therapy"
- Ruby Nixson Mathematical Institute, University of Oxford "A structured-PDE approach to targeting a quiescent sub-population under hypoxia and anti-tumour therapies in paediatric glioma."
- Reshmi Patel The University of Texas at Austin "MRI-based mathematical modeling to predict the response of cervical cancer patients to chemoradiation"
- Pujan Shrestha Texas A&M University "An ODE-SDE Model for Ct-DNA dynamics"
- Keith Chambers University of Oxford "Adipocyte-derived lipids promote phenotypic bistability in a structured population model for melanoma growth"
- Fabian Spill University of Birmingham "Regulation of Intra- and Intercellular Metabolite Transport in Cancer Metabolism"
- Chenxu Zhu Institute for Computational Biomedicine - Disease Modeling "Machine learning-assisted mechanistic modeling to predict disease progression in acute myeloid leukemia patients"
- Veronika Hofmann Technical University of Munich "Spectral Spatial Analysis of Cancer Biopsies: Validation through in-silico data and extension to logistic growth models"
- Nicholas Lai University of Oxford "Mathematical Modelling of Tertiary Lymphoid Structures in Cancer"
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ONCO-02
ONCO Subgroup Contributed Talks
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ONCO-02
- Pujan Shrestha Texas A&M University "An ODE-SDE Model for Ct-DNA dynamics"
- Keith Chambers University of Oxford "Adipocyte-derived lipids promote phenotypic bistability in a structured population model for melanoma growth"
- Fabian Spill University of Birmingham "Regulation of Intra- and Intercellular Metabolite Transport in Cancer Metabolism"
- Chenxu Zhu Institute for Computational Biomedicine - Disease Modeling "Machine learning-assisted mechanistic modeling to predict disease progression in acute myeloid leukemia patients"
- Veronika Hofmann Technical University of Munich "Spectral Spatial Analysis of Cancer Biopsies: Validation through in-silico data and extension to logistic growth models"
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ONCO-03
ONCO Subgroup Contributed Talks
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ONCO-03
- Nicholas Lai University of Oxford "Mathematical Modelling of Tertiary Lymphoid Structures in Cancer"
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ONCO-01
ONCO Subgroup Contributed Talks
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ONCO-01
- Ana Forero Pinto Moffitt Cancer Center/ University of South Florida "An agent-based model with ECM to study the mechanics of DCIS microinvasions"
- Chay Paterson University of Manchester "Wave-like behaviour in cancer evolution"
- Nathan Schofield University of Oxford "Mechanistic modelling of cluster formation in metastatic melanoma"
- Sergio Serrano de Haro Ivanez University of Oxford "Topological quantification of colorectal cancer tissue structure"
- Paulameena Shultes Case Western Reserve University "Cell-Cell Fusion in Cancer: Key In Silico Tumor Evolutionary Behaviors"
- Thomas Stiehl Institute for Computational Biomedicine and Disease Modeling, University Hospital RWTH Aachen, Aachen, Germany & Department of Science and Environment, Roskilde University, Roskilde, Denmark "Computational Modeling of the Aging Human Bone Marrow and Its Role in Blood Cancer Development"
- Aisha Turysnkozha Nazarbayev University "Traveling wave speed and profile of a “go or grow” glioblastoma multiforme model"
- Brian Johnson UC San Diego "Integrating clinical data in mechanistic modeling of colorectal cancer evolution in inflammatory bowel disease"
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ONCO-02
ONCO Subgroup Contributed Talks
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ONCO-02
- Thomas Stiehl Institute for Computational Biomedicine and Disease Modeling, University Hospital RWTH Aachen, Aachen, Germany & Department of Science and Environment, Roskilde University, Roskilde, Denmark "Computational Modeling of the Aging Human Bone Marrow and Its Role in Blood Cancer Development"
- Aisha Turysnkozha Nazarbayev University "Traveling wave speed and profile of a “go or grow” glioblastoma multiforme model"
- Brian Johnson UC San Diego "Integrating clinical data in mechanistic modeling of colorectal cancer evolution in inflammatory bowel disease"
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ONCO-01
ONCO Subgroup Contributed Talks
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ONCO-01
- Siti Maghfirotul Ulyah Khalifa University, Abu Dhabi, United Arab Emirates "Estimating the Growth Rate of Tumor Cells from Biopsy Samples Using an Extended Mean Field Approximation"
- Hooman Salavati Ghent University "Patient-Specific MRI-Integrated Computational Modeling of Tumor Fluid Dynamics and Drug Transport"
- Rachel Sousa University of California, Irvine "Identifying Critical Immunological Features of Tumor Control and Escape Using Mathematical Modeling"
- Simon Syga TUD Dresden University of Technology "Evolution of phenotypic plasticity leads to tumor heterogeneity with implications for therapy"
- Alexis Farman UCL (University College London) "Enhancing immunotherapies: Insights from the mathematical modelling of a microfluidic device"
- Magnus Haughey Barts Cancer Institute "Extrachromosomal DNA driven oncogene spatial heterogeneity and evolution in glioblastoma"
- Luke Heirene University of Oxford "Data Driven Mathematical Modelling Highlights the Impact of Bivalency on the Optimum Affinity for Monoclonal Antibody Therapies"
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ONCO-02
ONCO Subgroup Contributed Talks
Timeblock: CT03
ONCO-02
- Magnus Haughey Barts Cancer Institute "Extrachromosomal DNA driven oncogene spatial heterogeneity and evolution in glioblastoma"
- Luke Heirene University of Oxford "Data Driven Mathematical Modelling Highlights the Impact of Bivalency on the Optimum Affinity for Monoclonal Antibody Therapies"
Sub-group poster presentations
ONCO Posters