Immune and Microbial Signatures Associated with PD-1 Blockade Sensitivity in a Preclinical Model for HPV+ Oropharyngeal Cancer
- 1Cancer Biology Division, Comprehensive Cancer Center, University of Puerto Rico, San Juan, PR 00936, USA.
- 2Microbiology and Medical Zoology Department, University of Puerto Rico Medical Sciences Campus, San Juan, PR 00936, USA.
- 0Cancer Biology Division, Comprehensive Cancer Center, University of Puerto Rico, San Juan, PR 00936, USA.
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View abstract on PubMed
Summary
This summary is machine-generated.Identifying specific immune cells and oral bacteria can predict head and neck squamous cell carcinoma (HNSCC) treatment response. This research offers potential biomarkers for improving Human Papillomavirus (HPV)-driven cancer therapy outcomes.
Area Of Science
- Immunology
- Microbiology
- Oncology
Background
- Head and neck squamous cell carcinoma (HNSCC) is a significant health concern, often linked to high-risk Human Papillomavirus (HPV) strains.
- Current treatments using immune checkpoint inhibitors (e.g., PD-1 blockade) show limited efficacy in HNSCC patients, with response rates around 20-30%.
Purpose Of The Study
- To identify biological markers associated with response to PD-1 blockade therapy in HNSCC.
- To explore the role of immune cell phenotypes and oral microbiota in predicting treatment outcomes for HNSCC.
Main Methods
- Analysis of immune cell frequencies, including activated T cells, B cells, dendritic cells, and myeloid-derived suppressor cells (MDSCs) in relation to therapy response.
- Comparative analysis of oral microbiota composition in mice with tongue tumors treated with anti-PD-1 therapy, distinguishing between responders and non-responders.
Main Results
- Therapy responders exhibited increased frequencies of activated CD27+ T cells, CD79a+ B cells, CD74+ antigen-presenting cells, and PD-L1+/PD-L2+ MDSCs.
- Distinct oral microbiota profiles were observed: responders showed higher abundance of genera like *Allobaculum*, *Blautia*, *Faecalibacterium*, *Dorea*, and *Roseburia*, while non-responders had increased *Enterococcus*.
Conclusions
- Immune phenotypes, protein expression levels, and specific bacterial abundances in the oral microbiota differ between responding and non-responding HNSCC models.
- These findings suggest that specific immune cell profiles and oral bacteria can serve as predictive biomarkers for anti-PD-1 therapy response in HNSCC, potentially guiding novel therapeutic strategies.
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