M. Robertson-Tessi

Evolutionary double-bind treatment using radiotherapy and NK cell-based immunotherapy in prostate cancer

This study combines radiotherapy and NK cell immunotherapy to exploit an evolutionary double-bind strategy in prostate cancer, showing that RT-resistant cells become more vulnerable to NK cell killing.

Adaptive therapy for ovarian cancer: An integrated approach to PARP inhibitor scheduling

This study develops an adaptive therapy protocol for PARP inhibitors by combining mathematical modeling and experiments to optimize treatment scheduling and mitigate resistance.

Distinct tumor-immune ecologies in NSCLC patients predict progression and define a clinical biomarker of therapy response

The paper analyzes multiplexed histological images from NSCLC patients to identify spatial immune ecologies that predict disease progression and serve as potential biomarkers for therapy response.

Tumor-immune metaphenotypes orchestrate an evolutionary bottleneck that promotes metabolic transformation

This paper presents a multiscale mathematical model of tumor-immune interactions that identifies metaphenotypes driving immune escape and metabolic transformation in cancer.

VALIS: Virtual Alignment of pathoLogy Image Series

VALIS automates registration of immunohistochemistry and immunofluorescence images, enabling spatial analysis of whole slide images with low error and minimal computational time.

Mistic: an open-source multiplexed image t-SNE viewer

Mistic provides an open-source tool to visualize multiplexed images using t-SNE or UMAP layouts for exploratory analysis of tumor tissue ecology.

The role of memory in non-genetic inheritance and its impact on cancer treatment resistance

This paper develops a mathematical model of stochastic phenotype switching in cancer cells to show how non-genetic inheritance contributes to treatment resistance and proposes a therapeutic strategy to enhance treatment efficacy.

Spatial structure impacts adaptive therapy by shaping intra-tumoral competition

This study shows how spatial structure affects adaptive therapy by influencing intra-tumoral competition between drug-sensitive and resistant cells.

Antifragile therapy

This paper introduces a mathematical framework to quantify cancer cell line fragility or antifragility to treatment variability and applies it to treatment resistance and collateral sensitivity.

Evolutionary dynamics of neoantigens in growing tumours

This study develops a mathematical model of neoantigen evolution in tumors and validates it with colorectal cancer data, showing how negative selection shapes tumor immunogenotype and clonality.

The Harsh Microenvironment in Early Breast Cancer Selects for a Warburg Phenotype

The paper investigates how harsh microenvironments in early breast cancer select for a Warburg phenotype through metabolic and transcriptomic changes.

Turnover modulates the need for a cost of resistance in adaptive therapy

This study investigates whether a cost of resistance is necessary for adaptive therapy to delay cancer progression, finding that cell turnover modulates this requirement depending on tumor growth conditions.

Tissue structure accelerates evolution: premalignant sweeps precede neutral expansion

This study shows that tissue structure influences tumor evolution by accelerating neutral expansion through spatial constraints and dispersal events.

Niche engineering drives early passage through an immune bottleneck in progression to colorectal cancer

The paper models tumor-immune dynamics in colorectal cancer progression, showing immune evasion enables transition from immune-hot adenomas to immune-cold carcinomas.

Macrophage-mediated immunoediting drives ductal carcinoma evolution: Space is the game changer

This study uses immunohistochemistry data to model how macrophages influence tumor evolution through spatial dynamics and immune escape strategies in ductal carcinomas.

Hybrid Automata Library: A modular platform for efficient hybrid modeling with real-time visualization

The paper introduces the Hybrid Automata Library (HAL), a Java platform for building hybrid models in mathematical oncology, with real-time visualization and modular components.

The Goldilocks Window of Personalized Chemotherapy: An Immune Perspective

This study uses mathematical modeling to show that optimal chemotherapy scheduling must balance tumor reduction and immune preservation to maximize treatment efficacy.

Acidity promotes tumor progression by altering macrophage phenotype in prostate cancer

This study shows that tumor acidity promotes prostate cancer by altering macrophage phenotype, both in vitro and in vivo, and is supported by in silico modeling.

The immune checkpoint kick start: Optimization of neoadjuvant combination therapy using game theory

The paper develops a mathematical model to optimize neoadjuvant combination therapy for ER+ breast cancer by balancing tumor burden and metastatic potential using game theory.