@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.


Dr. Enderling, 2016 Research Educator of the Year

Dr. Heiko Enderling has received the 2016 Moffitt Research Educator of the Year Award.

His nomination letters span the gamut from department chairs and collaborating scientists to high school students. His educational activities parallel this range of “mentees” with rigorous scientific symposia and public speaking engagements to lay audiences. He founded and runs a summer camp for kids, known as the High School Internship Program for Integrated Mathematical Oncology, where exceptional high school students pair up with faculty investigators to develop math models. Dr. Enderling was recognized for taking a personal interest in trainees, speaking to parents and trainees before they come to the Moffitt Programs and frequently continuing to work with after completing the Program.  

He is the Director for Education and Outreach in Moffitt's Physical Sciences in Oncology Center, which trains the next generation of scientists in integrating mathematical and biological sciences to decipher Cancer as a Complex Adaptive System.

Dr. Walker mentoring two HIP students in 2016

The EnderlingLab is participating in the 2017 High school Internship Program in Integrated Mathematical Oncology (HIP IMO), which is a mathematical modeling centric internship program that delivers interdisciplinary team science research experiences for high school students. This mentored training program is designed for motivated aspiring scientists to help prepare them for interdisciplinary cancer research careers. Working under the direction and guidance of IMO. faculty/scientist mentors, interns are involved in activities designed to foster the development of life-long research skills. 

> More info about HIP IMO


2017 projects may include mathematical or computational modeling of tumor-immune interactions and perturbation by radiation therapy, or oncolytic virotherapy / immunotherapy for pancreatic cancer in collaboration with Daniel Abate-Daga's lab in Immunology.