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Usage Information

Multiparametric immune profiling in HPV– oral squamous cell cancer
Zipei Feng, Daniel Bethmann, Matthias Kappler, Carmen Ballesteros-Merino, Alexander Eckert, R. Bryan Bell, Allen Cheng, Tuan Bui, Rom Leidner, Walter J. Urba, Kent Johnson, Clifford Hoyt, Carlo B. Bifulco, Juergen Bukur, Claudia Wickenhauser, Barbara Seliger, Bernard A. Fox
Zipei Feng, Daniel Bethmann, Matthias Kappler, Carmen Ballesteros-Merino, Alexander Eckert, R. Bryan Bell, Allen Cheng, Tuan Bui, Rom Leidner, Walter J. Urba, Kent Johnson, Clifford Hoyt, Carlo B. Bifulco, Juergen Bukur, Claudia Wickenhauser, Barbara Seliger, Bernard A. Fox
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Research Article Immunology Oncology

Multiparametric immune profiling in HPV– oral squamous cell cancer

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Abstract

Evaluation of T lymphocyte frequency provides prognostic information for patients with oral squamous cell cancer (OSCC). However, the effect of simultaneously evaluating T cell frequency and assessing suppressive elements and defects in antigen-processing machinery (APM) has not been clarified. Simultaneous characterization of CD3+, CD8+, FoxP3+, CD163+, and PD-L1+ cells using multispectral imaging was performed on sections from 119 patients with HPV– OSCC. Expression of β2-microglobulin, MHC class I heavy chain, and large multifunctional peptidase 10 was quantified, and all data were correlated with patient outcome. We found that, consistent with previous reports, high numbers of CD8+ T cells at the invasive margin correlated significantly with prolonged overall survival (OS), while the number of FoxP3+ or PD-L1+ cells did not. Compiling the number of FoxP3+ or PD-L1+ cells within 30 μm of CD8+ T cells identified a significant association with a high number of suppressive elements close to CD8+ T cells and reduced OS. Integrating this information into a cumulative suppression index (CSI) increased correlation with OS. Incorporating tumor expression levels of APM components with CSI further improved prognostic power. This multiparametric immune profiling may be useful for stratifying patients with OSCC for clinical trials.

Authors

Zipei Feng, Daniel Bethmann, Matthias Kappler, Carmen Ballesteros-Merino, Alexander Eckert, R. Bryan Bell, Allen Cheng, Tuan Bui, Rom Leidner, Walter J. Urba, Kent Johnson, Clifford Hoyt, Carlo B. Bifulco, Juergen Bukur, Claudia Wickenhauser, Barbara Seliger, Bernard A. Fox

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Usage data is cumulative from May 2025 through May 2026.

Usage JCI PMC
Text version 1,971 110
PDF 199 74
Figure 1,064 25
Table 193 0
Citation downloads 166 0
Totals 3,593 209
Total Views 3,802
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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