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Tumor histoculture captures the dynamic interactions between tumor and immune components in response to anti-PD1 in head and neck cancer
Tumor histoculture captures the dynamic interactions between tumor and immune components in response to anti-PD1 in head and neck cancer
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Tumor histoculture captures the dynamic interactions between tumor and immune components in response to anti-PD1 in head and neck cancer
Tumor histoculture captures the dynamic interactions between tumor and immune components in response to anti-PD1 in head and neck cancer

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Tumor histoculture captures the dynamic interactions between tumor and immune components in response to anti-PD1 in head and neck cancer
Tumor histoculture captures the dynamic interactions between tumor and immune components in response to anti-PD1 in head and neck cancer
Journal Article

Tumor histoculture captures the dynamic interactions between tumor and immune components in response to anti-PD1 in head and neck cancer

Juby,
2024
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Overview
Dynamic interactions within the tumor micro-environment drive patient response to immune checkpoint inhibitors. Existing preclinical models lack true representation of this complexity. Using a Head and Neck cancer patient derived TruTumor histoculture platform, the response spectrum of 70 patients to anti-PD1 treatment is investigated in this study. With a subset of 55 patient samples, multiple assays to characterize T-cell reinvigoration and tumor cytotoxicity are performed. Based on levels of these two response parameters, patients are stratified into five sub-cohorts, with the best responder and non-responder sub-cohorts falling at extreme ends of the spectrum. The responder sub-cohort exhibits high T-cell reinvigoration, high tumor cytotoxicity with T-cells homing into the tumor upon treatment whereas immune suppression and tumor progression pathways are pre-dominant in the non-responders. Some moderate responders benefit from combination of anti-CTLA4 with anti-PD1, which is evident from better cytotoxic T-cell: T-regulatory cell ratio and enhancement of tumor cytotoxicity. Baseline and on-treatment gene expression signatures from this study stratify responders and non-responders in unrelated clinical datasets. Tumor histocultures have been exploited as tools to predict response to cancer therapy. Here the authors report the development and testing of a tumor histoculture platform to study response to immune checkpoint inhibitors in head and neck squamous cell carcinoma.