A Network Landscape of HPVOPC Reveals Methylation Alterations as Significant Drivers of Gene Expression via an Immune-Mediated GPCR Signal

Author:

Qualliotine Jesse R.12ORCID,Nakagawa Takuya23ORCID,Rosenthal Sara Brin4,Sadat Sayed2,Ballesteros-Merino Carmen5,Xu Guorong4,Mark Adam4,Nasamran Art4,Gutkind J. Silvio2,Fisch Kathleen M.4,Guo Theresa12ORCID,Fox Bernard A.5,Khan Zubair6,Molinolo Alfredo A.2,Califano Joseph A.12

Affiliation:

1. Department of Otolaryngology—Head and Neck Surgery, University of California San Diego, La Jolla, CA 92093, USA

2. Gleiberman Head and Neck Cancer Center, Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA

3. Department of Otorhinolaryngology, Head and Neck Surgery, Graduate School of Medicine, Chiba University, Chiba 263-8522, Japan

4. Center for Computational Biology and Bioinformatics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA

5. Earle A. Chiles Research Institute, Providence Cancer Center, Portland, OR 97213, USA

6. Department of Otolaryngology—Head and Neck Surgery, Johns Hopkins University, Baltimore, MD 21218, USA

Abstract

HPV-associated oropharynx carcinoma (HPVOPC) tumors have a relatively low mutational burden. Elucidating the relative contributions of other tumor alterations, such as DNA methylation alterations, alternative splicing events (ASE), and copy number variation (CNV), could provide a deeper understanding of carcinogenesis drivers in this disease. We applied network propagation analysis to multiple classes of tumor alterations in a discovery cohort of 46 primary HPVOPC tumors and 25 cancer-unaffected controls and validated our findings with TCGA data. We identified significant overlap between differential gene expression networks and all alteration classes, and this association was highest for methylation and lowest for CNV. Significant overlap was seen for gene clusters of G protein-coupled receptor (GPCR) pathways. HPV16–human protein interaction analysis identified an enriched cluster defined by an immune-mediated GPCR signal, including CXCR3 cytokines CXCL9, CXCL10, and CXCL11. CXCR3 was found to be expressed in primary HPVOPC, and scRNA-seq analysis demonstrated CXCR3 ligands to be highly expressed in M2 macrophages. In vivo models demonstrated decreased tumor growth with antagonism of the CXCR3 receptor in immunodeficient but not immunocompetent mice, suggesting that the CXCR3 axis can drive tumor proliferation in an autocrine fashion, but the effect is tempered by an intact immune system. In conclusion, methylation, ASE, and SNV alterations are highly associated with network gene expression changes in HPVOPC, suggesting that ASE and methylation alterations have an important role in driving the oncogenic phenotype. Network analysis identifies GPCR networks, specifically the CXCR3 chemokine axis, as modulators of tumor–immune interactions that may have proliferative effects on primary tumors as well as a role for immunosurveillance; however, CXCR3 inhibition should be used with caution, as these agents may both inhibit and stimulate tumor growth considering the competing effects of this cytokine axis. Further investigation is needed to explore opportunities for targeted therapy in this setting.

Funder

National Institutes of Health

Gleiberman Head and Neck Cancer Center

Moores Cancer Center

University of California San Diego

Providence Medical Foundation, Nancy Lematta, The Harder Family, Lynn Loacker, Robert Franz, Elsie Franz Finley, and the MJ Murdock Charitable Trust

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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