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

Emily L Hoskins1,2, Eric Samorodnitsky1, Michele R Wing1

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

JCO Precision Oncology
|January 9, 2023
PubMed
Abstract

Insights

Structural variations in PD-L1 and PD-L2 genes are linked to increased immune cell activity and a high response rate to PD-1 immunotherapy in cancer patients. These findings may help identify candidates for immunotherapy.

Area of Science:

  • Genomics and Cancer Biology
  • Immunotherapy and Cancer Treatment

Background:

  • Programmed cell death protein-1 (PD-1) receptor-ligand interactions are crucial targets for immunotherapies across numerous cancer types.
  • Current biomarkers for immunotherapy response include microsatellite instability, tumor mutational burden, and PD-L1 immunohistochemistry.
  • Structural variations (SVs) in PD-L1 (CD274) and PD-L2 (PDCD1LG2) are known in cancer but their comprehensive landscape and clinical implications remain underexplored.

Purpose of the Study:

  • To comprehensively map the genomic landscape of structural variations (SVs) in PD-L1 and PD-L2 genes in cancer.
  • To investigate the potential impact of these SVs on the tumor microenvironment and immune signatures.
  • To evaluate the clinical benefit of PD-1/PD-L1 immunotherapy in patients with PD-L1 or PD-L2 SVs.

Main Methods:

  • Analysis of sequencing data from 486 cancer cases with PD-L1 and PD-L2 SVs, drawn from 22 publications and four major datasets (Foundation Medicine, TCGA, ICGC, ONCO-RN).
  • Utilized RNA sequencing to assess immune signatures, including interferon signaling and immune cell infiltration.
  • Curated literature to identify and analyze clinical outcomes of patients with PD-L1 or PD-L2 SVs.

Main Results:

  • Identified consistent breakpoint patterns (hotspots) within PD-L1 and PD-L2 genes across a large cohort of 300,000 tumors.
  • Observed significant upregulation of PD-L1 expression and immune signatures (interferon signaling, macrophages, T cells, immune proliferation) in tumors with PD-L1/PD-L2 SVs.
  • Retrospective analysis of 12 studies showed a >50% response rate (52/71 patients) to PD-1 immunotherapy among patients with PD-L1 or PD-L2 SVs, with durable responses observed.

Conclusions:

  • Structural variations, frequently affecting the 3'-UTR, are associated with increased PD-L1/PD-L2 ligand expression and heightened immune signatures.
  • Genomic alterations in PD-L1/PD-L2 may serve as a predictive biomarker for identifying patients who can benefit from PD-1/PD-L1 immunotherapy.
  • These findings warrant further investigation through prospective clinical trials to target these specific genomic alterations in cancer treatment.

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