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Correlation of Intra-tumoral and Peripheral PD-1/PD-L1 Immunity in Head and Neck Cancer

Christian Idel, Julika Ribbat-Idel, Amelie Von Bernuth, Jonas Fleckner, Dirk Rades, Jutta Kirfel, Verena Sailer, Kirstin Plötze-Martin, Karl Ludwig Bruchhage, Ralph Pries*

*Corresponding author for this work

Abstract

Background/Aim: Head and neck squamous cell carcinoma (HNSCC) represents a heterogeneous malignant disease of the oral cavity, pharynx, and larynx. HNSCC cells evade the host immune system through alterations in their immunogenicity, production of immunosuppressive mediators, and induction of immunomodulatory cell types. The immune status of solid HNSCC can be considered as hot, cold, or excluded for each patient individually, based on the distribution of tumor infiltrating immune cells. In this context immunotherapies based on the blockade of checkpoint molecules programmed death 1 (PD-1) and programmed death ligand 1 (PD-L1) have significantly improved therapeutic outcomes in different cancer types. In HNSCC, intra-tumoral expression levels of PD-L1 are used for decision making in checkpoint inhibitor treatment. The significance of PD-L1 as a prognostic indicator is still controversial because both PD-1 and PD-L1 are also expressed in different types of circulating immune cells and the interaction of systemic and intra-tumoral cell-type-specific expression patterns of checkpoint molecules PD-1/PD-L1 has not yet been fully unveiled. Materials and Methods: Using immunohistochemical (IHC) staining and flow cytometry, we correlated the expression patterns of the checkpoint molecules PD1/PD-L1 in peripheral blood CD14/CD16 monocytes and CD4/CD8 T cells with intra-tumoral conditions in patients with head and neck cancer. Results/Conclusion: Our data demonstrate significant connections between systemic and intra-tumoral PD-1/PD-L1 immune patterns, both of which may serve as promising combined biomarkers for treatment decisions in patients with head and neck cancer.

Original languageEnglish
JournalAnticancer Research
Volume43
Issue number12
Pages (from-to)5349-5358
Number of pages10
ISSN0250-7005
DOIs
Publication statusPublished - 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research Areas and Centers

  • Research Area: Luebeck Integrated Oncology Network (LION)
  • Academic Focus: Center for Infection and Inflammation Research (ZIEL)

DFG Research Classification Scheme

  • 2.22-14 Hematology, Oncology
  • 2.22-29 Otorlaryngology, Phoniatrics and Audiology
  • 2.22-06 Pathology

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