Unknown

Dataset Information

0

Integrating Systems Biology and an Ex Vivo Human Tumor Model Elucidates PD-1 Blockade Response Dynamics.


ABSTRACT: Ex vivo human tumor models have emerged as promising, yet complex tools to study cancer immunotherapy response dynamics. Here, we present a strategy that integrates empirical data from an ex vivo human system with computational models to interpret the response dynamics of a clinically prescribed PD-1 inhibitor, nivolumab, in head and neck squamous cell carcinoma (HNSCC) biopsies (N = 50). Using biological assays, we show that drug-induced variance stratifies samples by T helper type 1 (Th1)-related pathways. We then built a systems biology network and mathematical framework of local and global sensitivity analyses to simulate and estimate antitumor phenotypes, which implicate a dynamic role for the induction of Th1-related cytokines and T cell proliferation patterns. Together, we describe a multi-disciplinary strategy to analyze and interpret the response dynamics of PD-1 blockade using heterogeneous ex vivo data and in silico simulations, which could provide researchers a powerful toolset to interrogate immune checkpoint inhibitors.

SUBMITTER: Smalley M 

PROVIDER: S-EPMC7303667 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications


Ex vivo human tumor models have emerged as promising, yet complex tools to study cancer immunotherapy response dynamics. Here, we present a strategy that integrates empirical data from an ex vivo human system with computational models to interpret the response dynamics of a clinically prescribed PD-1 inhibitor, nivolumab, in head and neck squamous cell carcinoma (HNSCC) biopsies (N = 50). Using biological assays, we show that drug-induced variance stratifies samples by T helper type 1 (Th1)-rela  ...[more]

Similar Datasets

| S-EPMC5809290 | biostudies-literature
| S-EPMC4204398 | biostudies-other
| S-EPMC8282606 | biostudies-literature
| S-EPMC5683391 | biostudies-literature
| S-EPMC3170340 | biostudies-literature
| S-EPMC8095114 | biostudies-literature
| S-EPMC4029855 | biostudies-literature
| S-EPMC1409799 | biostudies-other
| S-EPMC9293645 | biostudies-literature
| S-EPMC7889918 | biostudies-literature