@EnderlingLab: quantitative models to personalize oncology

Cancer Therapy

Integrate mathematical, computational, biological and clinical sciences to thoroughly investigate tumor growth and response to single or combination therapy. In close collaboration with experimentalists and clinicians, mathematical models that are parameterized with experimental and clinical data can help estimate patient-specific disease dynamics, and predict response to different treatments or treatment protocols.

Abscopal Effect

The abscopal effect is the observation of systemic regression of metastatic nodules after local treatment of an individual metastatic site. We hypothesize that different metastatic sites within an individual patient have different potentials to induce an abscopal effect. Mathematical models of T cell trafficking on patient-specific metastatic disease could identity radiation treatment targets that induce systemic antitumor immunity.

Cancer Screening

The temporal evolution of biomarkers of disease progression can be modeled and simulated for individual patients and patient cohorts. A calibrated and validated model, informed with patient-specific biomarker information,  can guide personalized screening schedules to allow efficient monitoring of disease progression and the timely therapeutic intervention to improve patient outcomes.

Cancer Stem Cells

The cancer stem cell hypothesis postulates that only a subpopulation of cancer cells in a tumor is capable of initiating, sustaining, and reinitiating tumors, while the bulk of the population comprises non-stem cancer cells that lack tumor initiation potential. The interactions of these two phenotypically distinct populations can provoke various nonlinear growth kinetics in the emerging tumor, including aggressive growth, tumor dormancy and treatment-induced escape from dormancy.


Predictive modeling of disease progression publication

Dr. Rachel Howard's paper on "Personalizing gastric cancer screening with predictive modeling of disease progression biomarkerswas accepted for publication in the journal Applied Immunohistochemistry and Molecular Morphology. [abstract



Dr. Brady presents poster at AACR Prostate Cancer Conference

Congratulations Dr. Renee Brady for her abstract being selected for poster presentation at the 2017 AACR Prostate Conference in Orlando, FL. He poster was entitled "Simulating prostate cancer stem cell dynamics to predict patient-specific sensitivity or resistance to intermittent androgen deprivation therapy".