Sequential adjustment of cytotoxic T lymphocyte densities improves efficacy in controlling tumor growth.

ABSTRACT: Understanding the human cytotoxic T lymphocyte (CTL) biology is crucial to develop novel strategies aiming at maximizing their lytic capacity against cancer cells. Here we introduce an agent-based model, calibrated on population-scale experimental data that allows quantifying human CTL per capita killing. Our model highlights higher individual CTL killing capacity at lower CTL densities and fits experimental data of human melanoma cell killing. The model allows extending the analysis over prolonged time frames, difficult to investigate experimentally, and reveals that initial high CTL densities hamper efficacy to control melanoma growth. Computational analysis forecasts that sequential addition of fresh CTL cohorts improves tumor growth control. In vivo experimental data, obtained in a mou

SUBMITTER: Khazen R 

PROVIDER: S-EPMC6707257 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature