David Basanta

A reference-calibrated spatial-statistical framework for quantifying stroma-tumor cell spatial associations from histology and its geometric limits

This paper introduces a spatial-statistical framework to quantify stroma-tumor cell interactions from histology, showing geometric limits and applying it to identify proliferation bias in cancer.

Peristromal niches protect lung cancers from targeted therapies through a combined effect of multiple molecular mediators

This study shows that stromal niches protect lung cancers from ALK inhibitors through multiple mechanisms, and targeting these mechanisms together is more effective than targeting them individually.

Pharmacokinetic Acceleration via CYP3A4 Hyperactivation as a Clinically Actionable Mechanism of Targeted Therapy Resistance in NSCLC

This paper identifies CYP3A4 hyperactivation as a tumor-extrinsic resistance mechanism in NSCLC, showing it reduces drug exposure and leads to resistance, and proposes dosing optimization and CYP3A4 inhibition as solutions.

Selection for targeted therapy resistance leads to an indirect selection for higher phenotypic plasticity and enhanced evolvability to orthogonal stressors

The paper shows that targeted therapy resistance in cancer selects for cells with higher phenotypic plasticity, which enhances their ability to adapt to other stressors and promotes metastasis.

Treatment-free interval duration during T-cell engager conditioning shapes simulated T-cell exhaustion and post-transfer tumor control

This paper uses an agent-based model to simulate how different treatment-free intervals during T-cell engager exposure affect T cell exhaustion and tumor control in B-ALL.

The adaptive state determines the impact of mutations on evolving populations

This study shows that mutation impacts on populations depend on their adaptive state, with increased mutation rates beneficial near extinction but harmful in well-adapted populations.

A Mathematical Model of Persister Cell Plasticity and Its Impact on Adaptive Cancer Therapy

This study uses a spatial agent-based model to show that persister cells reduce treatment efficacy in adaptive cancer therapy by providing a reservoir for genetic resistance.

Overcoming treatment resistance mediated by the bone marrow vascular niche in acute myeloid leukemia

This study develops a computational model of the AML bone marrow microenvironment and shows that combining TKIs with miR-126 inhibition can overcome treatment resistance by disrupting the protective vascular niche.

Dark selection for JAK/STAT-inhibitor resistance in chronic myelomonocytic leukemia

The paper challenges the classic U-shape model of resistance by proposing alternative population-level models for ruxolitinib resistance in CMML and explores the role of oxygen and cytokine signaling in resistance dynamics.

Stromal Reactivity Differentially Drives Tumor Cell Evolution and Prostate Cancer Progression

This study develops a hybrid model showing stromal reactivity influences prostate cancer progression and prognosis by shaping tumor cell evolution and aggressiveness.

Cancer treatment scheduling and dynamic heterogeneity in social dilemmas of tumour acidity and vasculature

This paper uses evolutionary game theory to model tumour heterogeneity in glycolysis, angiogenesis, and oxygen availability, showing dynamic regimes and the importance of treatment timing.

Cell-cell interactions and evolution using evolutionary game theory

This paper applies evolutionary game theory to model cell-cell interactions and their impact on cancer evolution.

Edge effects in game theoretic dynamics of spatially structured tumours

This paper shows spatial structure in tumor models can promote invasive cell strategies at tumor edges, using a game-theoretic approach to analyze metastatic potential.