Pan-cancer Landscape of Programmed Death Ligand-1 and Programmed Death Ligand-2 Structural Variations

Author:

Hoskins Emily L.12ORCID,Samorodnitsky Eric1,Wing Michele R.1ORCID,Reeser Julie W.1ORCID,Hopkins Julia F.3,Murugesan Karthikeyan3ORCID,Kuang Zheng3ORCID,Vella Raven12,Stein Leah1,Risch Zachary1,Yu Lianbo4ORCID,Adebola Serifat12ORCID,Paruchuri Anoosha1,Carpten John5,Chahoud Jad6ORCID,Edge Stephen7ORCID,Kolesar Jill8ORCID,McCarter Martin9,Nepple Kenneth G.10,Reilley Matthew11ORCID,Scaife Courtney12,Tripathi Abhishek13ORCID,Single Nancy1,Huang Richard S.P.3ORCID,Albacker Lee A.3ORCID,Roychowdhury Sameek114ORCID

Affiliation:

1. Comprehensive Cancer Center and James Cancer Hospital, The Ohio State University, Columbus, OH

2. Biomedical Sciences Graduate Program, The Ohio State University, Columbus, OH

3. Foundation Medicine Inc, Cambridge, MA

4. Department of Biomedical Informatics, The Ohio State University, Columbus, OH

5. Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA

6. Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL

7. Roswell Park Cancer Institute, University at Buffalo, Buffalo, NY

8. University of Kentucky College of Pharmacy, Lexington, KY

9. Division of Surgical Oncology, Department of Surgery, University of Colorado School of Medicine, Aurora, CO

10. Department of Urology, University of Iowa Hospitals and Clinics, Iowa City, IA

11. Emily Couric Clinical Cancer Center, University of Virginia, Charlottesville, VA

12. Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT

13. Stephenson Cancer Center, Oklahoma City, OK

14. Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, OH

Abstract

PURPOSE Programmed cell death protein-1 (PD-1) receptor and ligand interactions are the target of immunotherapies for more than 20 cancer types. Biomarkers that predict response to immunotherapy are microsatellite instability, tumor mutational burden, and programmed death ligand-1 (PD-L1) immunohistochemistry. Structural variations (SVs) in PD-L1 ( CD274) and PD-L2 ( PDCD1LG2) have been observed in cancer, but the comprehensive landscape is unknown. Here, we describe the genomic landscape of PD-L1 and PD-L2 SVs, their potential impact on the tumor microenvironment, and evidence that patients with these alterations can benefit from immunotherapy. METHODS We analyzed sequencing data from cancer cases with PD-L1 and PD-L2 SVs across 22 publications and four data sets, including Foundation Medicine Inc, The Cancer Genome Atlas, International Cancer Genome Consortium, and the Oncology Research Information Exchange Network. We leveraged RNA sequencing to evaluate immune signatures. We curated literature reporting clinical outcomes of patients harboring PD-L1 or PD-L2 SVs. RESULTS Using data sets encompassing 300,000 tumors, we curated 486 cases with SVs in PD-L1 and PD-L2 and observed consistent breakpoint patterns, or hotspots. Leveraging The Cancer Genome Atlas, we observed significant upregulation in PD-L1 expression and signatures for interferon signaling, macrophages, T cells, and immune cell proliferation in samples harboring PD-L1 or PD-L2 SVs. Retrospective review of 12 studies that identified patients with SVs in PD-L1 or PD-L2 revealed > 50% (52/71) response rate to PD-1 immunotherapy with durable responses. CONCLUSION Our findings show that the 3′-UTR is frequently affected, and that SVs are associated with increased expression of ligands and immune signatures. Retrospective evidence from curated studies suggests this genomic alteration could help identify candidates for PD-1/PD-L1 immunotherapy. We expect these findings will better define PD-L1 and PD-L2 SVs in cancer and lend support for prospective clinical trials to target these alterations.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

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