Pan-cancer landscape of CD274 (PD-L1) copy number changes in 244 584 patient samples and the correlation with PD-L1 protein expression

J Immunother Cancer. 2021 May;9(5):e002680. doi: 10.1136/jitc-2021-002680.

Abstract

Introduction: Several studies have shown clinical outcomes data that support the use of CD274 (PD-L1) copy-number (CN) gains and/or losses as a biomarker for immune checkpoint inhibitor (ICPI). Here, we present the landscape of CD274 CN changes across a large cohort of solid tumor cases and correlate these with PD-L1 protein expression by immunohistochemistry.

Methods: We analyzed all cases that underwent comprehensive genomic profiling (CGP) testing at Foundation Medicine between August 2014 and June 2020. CD274 CN changes were correlated with PD-L1 expression in tumor types where there were Food and Drug Administration approved companion diagnostic (CDx) claims and the CDx assay was used to assess PD-L1 expression.

Results: In all, 244 584 samples representing 290 solid tumor types were included in the study. Overall, 17.6% (42 983/244 584) had CD274 CN gains (>specimen ploidy), 44.6% (108 970/244 584) were CD274 CN neutral, and 37.9% (92 631/244 584) had CD274 CN loss. Using different CN cut offs to define CD274 positivity resulted in different prevalence estimates: ploidy +1, 17.4% (42 636/244 584); ploidy +2, 6.2% (15 183/244 584); ploidy +3, 2.2% (5375/244 584); ploidy +4, 1.1% (2712/244 584); and ploidy +8, 0.2% (434/244 584). The prevalence of CN changes and CN positivity varied based on tumor type. CD274 CN gains were significantly associated with PD-L1 positivity in NSCLC, urothelial carcinoma, breast carcinoma, cervical carcinoma, esophagus squamous cell carcinoma (SCC) and head and neck SCC (ORs 3.3, 3.0, 2.0, 4.5. 3.8, 8.4, 1.4, respectively; p<0.05) and with microsatellite instability status in only clinically relevant tumor types (gastric adenocarcinoma, colorectal adenocarcinoma, uterine endometrial adenocarcinoma, esophageal adenocarcinoma and gastroesophageal junction adenocarcinoma (OR: 5.2, 1.9, 3.2, 3.7 and 6.5, respectively; p<0.05)). Conversely, CD274 CN changes were not significantly correlated with tumor mutational burden in almost all the tumor types.

Conclusion: CD274 CN changes and PD-L1 expression were highly correlated in multiple tumor types. These prevalence data on CD274 CN changes across a large cohort of different solid tumors can be used to design future clinical studies to assess whether CD274 CN changes could be a potential biomarker for ICPI.

Keywords: biomarkers; immunotherapy; tumor; tumor biomarkers.

MeSH terms

  • B7-H1 Antigen / antagonists & inhibitors
  • B7-H1 Antigen / genetics*
  • Biomarkers, Tumor / genetics*
  • Clinical Decision-Making
  • DNA Copy Number Variations*
  • Female
  • Gene Dosage*
  • Genetic Predisposition to Disease
  • Humans
  • Immune Checkpoint Inhibitors / therapeutic use
  • Immunohistochemistry
  • Male
  • Microsatellite Instability
  • Molecular Diagnostic Techniques
  • Mutation
  • Neoplasms / drug therapy
  • Neoplasms / genetics*
  • Neoplasms / immunology*
  • Neoplasms / pathology
  • Phenotype
  • Predictive Value of Tests

Substances

  • B7-H1 Antigen
  • Biomarkers, Tumor
  • CD274 protein, human
  • Immune Checkpoint Inhibitors