A Single-Cell Transcriptome Atlas of Epithelial Subpopulations in HPV-Positive and HPV-Negative Head and Neck Cancers

Persistent infection with HPV causes nearly 5% of all cancers worldwide, including cervical and oropharyngeal cancers. Compared to HPV-negative (HPV-) head and neck squamous cell carcinomas (HNSCCs), HPV-positive (HPV+) HNSCCs exhibit a significantly improved treatment response; however, established treatment regimens were largely developed for HPV- disease. Effectively de-escalating therapy and optimizing treatment protocols to minimize toxicity for both HPV+ and HPV- tumors has been variably successful, in part due to the heterogeneity of cellular subpopulations. Single-cell RNA sequencing (scRNAseq) has primarily been used to define immune cell populations rather than the cell type of origin, epithelial cells. To address this, we analyzed published scRNAseq data of HPV+ and HPV- HNSCCs to distinguish epithelial tumor cell populations as a function of HPV status. We identified the transcriptome signatures, ontologies, and candidate biomarkers of newly identified epithelial subpopulations with attention to those that are shared or enriched in HPV+ or HPV- HNSCCs. We hypothesize that distinct epithelial cell populations and reprogramming in HPV- versus HPV+ HNSCC represent important components of the pro-tumor environment. These are described here as a foundation for the identification of new epithelial-cell-specific biomarkers, effectors, and candidate targets for optimizing the treatment of HNSCC.

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Publication Details

Journal
Viruses
Published
2025-03-24
DOI
https://doi.org/10.3390/v17040461
Citations
1
Primary Topic
Head and Neck Cancer Studies
Type
article
Field-Weighted Citation Impact
1.85

Funders

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article

A Single-Cell Transcriptome Atlas of Epithelial Subpopulations in HPV-Positive and HPV-Negative Head and Neck Cancers

Chad Zender, Cosette M. Rivera‐Cruz, Mary C. Bedard, Trisha M. Wise‐Draper et al.
1 citations
Viruses
Head and Neck Cancer Studies
1.85
article

A Single-Cell Transcriptome Atlas of Epithelial Subpopulations in HPV-Positive and HPV-Negative Head and Neck Cancers

Chad Zender, Cosette M. Rivera‐Cruz, Mary C. Bedard, Trisha M. Wise‐Draper, Mike Adam, Tafadzwa Chihanga, Matthew T. Weirauch, Susanne I. Wells, Andrew VonHandorf, Robert L. Ferris, Alice L. Tang
article en
1 citations

Abstract

Persistent infection with HPV causes nearly 5% of all cancers worldwide, including cervical and oropharyngeal cancers. Compared to HPV-negative (HPV-) head and neck squamous cell carcinomas (HNSCCs), HPV-positive (HPV+) HNSCCs exhibit a significantly improved treatment response; however, established treatment regimens were largely developed for HPV- disease. Effectively de-escalating therapy and optimizing treatment protocols to minimize toxicity for both HPV+ and HPV- tumors has been variably successful, in part due to the heterogeneity of cellular subpopulations. Single-cell RNA sequencing (scRNAseq) has primarily been used to define immune cell populations rather than the cell type of origin, epithelial cells. To address this, we analyzed published scRNAseq data of HPV+ and HPV- HNSCCs to distinguish epithelial tumor cell populations as a function of HPV status. We identified the transcriptome signatures, ontologies, and candidate biomarkers of newly identified epithelial subpopulations with attention to those that are shared or enriched in HPV+ or HPV- HNSCCs. We hypothesize that distinct epithelial cell populations and reprogramming in HPV- versus HPV+ HNSCC represent important components of the pro-tumor environment. These are described here as a foundation for the identification of new epithelial-cell-specific biomarkers, effectors, and candidate targets for optimizing the treatment of HNSCC.

VirusesVol. 17(4)
Cincinnati Children's Hospital Medical Center (US), University of North Carolina Health Care (US), University of Cincinnati Medical Center (US)
National Institute of Environmental Health Sciences
Good health and well-being
Openalex Percentile: Top 18%
Head and Neck Cancer Studies
1.85
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