Published on 01 January 2020

The Landscape of <i>CD28, CD80, CD86, CTLA4</i>, and <i>ICOS</i> DNA Methylation in Head and Neck Squamous Cell Carcinomas

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De Vos, Luka;Grünwald, Ingela;Bawden, Emma Grace;Dietrich, Jörn;Scheckenbach, Kathrin;Wiek, Constanze;Zarbl, Romina;Bootz, Friedrich;Landsberg, Jennifer;Dietrich, Dimo

Description

CTLA-4 blocking therapeutic antibodies are currently under investigation in head and neck squamous cell carcinoma (HNSCC). A better understanding of the epigenetic regulation of the CD28 superfamily members CD28, CTLA-4, and ICOS and their B7 ligands, CD80 and CD86, could support the development of biomarkers for response prediction to anti-CTLA-4 immunotherapy. We investigated methylation of the encoding genes CD28, CTLA4, ICOS, CD80, and CD86 at single CpG resolution (51 CpG sites) in a cohort of HNSCC (N=528) and normal adjacent tissue samples (N=50) provided by The Cancer Genome Research Atlas, in isolated blood leukocytes from healthy individuals (N=28), and HNSCC cell lines (N=39). We analyzed methylation levels with regard to mRNA expression, overall survival, mutational load, interferon-γ signature, and signatures of immune cell infiltrates. Depending on the location of the CpG sites (promoter, promoter flank, gene body, and intergenic sites), we found significant differences in methylation levels among isolated leukocytes, between leukocytes and HNSCC cell lines, and among HNSCCs. Methylation of all analyzed genes correlated inversely or positively with mRNA expression, depending on the CpG site. CD28, CTLA4, and ICOS revealed almost identical correlation patterns. Furthermore, we found significant correlations with with survival and features of response to immunotherapy, i.e. interferon-γ signature, signatures of tumor infiltrating immune cells, and mutational load. Our results suggest CD28, CTLA4, ICOS, CD80, and CD86 expression levels are epigenetically co-regulated by DNA methylation. This study provides rationale to test their DNA methylation as potential biomarker for prediction of response to CTLA-4 immune checkpoint inhibitors.

Citations (1)

Mentions (0)

Metrics

Dataset Index

0.7

FAIR Score

15%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Taylor & Francis

Assigned Domain

Subfield

Otorhinolaryngology

Field

Medicine

Domain

Health Sciences

Confidence Score

99%

Source

Open Alex

Keywords

BiophysicsBiochemistryCell BiologyGeneticsFOS: Biological sciencesMolecular BiologyImmunologyFOS: Clinical medicineCancer111714 Mental HealthFOS: Health sciences110309 Infectious Diseases

Normalization Factors

FT

15.38

CTw

1.00

MTw

1.00