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Using 22C3 Anti-PD-L1 Antibody Concentrate on Biopsy and Cytology Samples from Non-small Cell Lung Cancer Patients
Published on: September 25, 2018
Pan-cancer analysis of copy number changes in programmed death-ligand 1 (PD-L1, CD274) - associations with gene
Jan Budczies1,2, Michael Bockmayr1, Carsten Denkert1,2
1Institute of Pathology, Charité University Hospital, Berlin, Germany.
Abstract:
Inhibition of the PD-L1 (CD274) - PD-1 axis has emerged as a powerful cancer therapy that prevents evasion of tumor cells from the immune system. While immunohistochemical detection of PD-L1 was introduced as a predictive biomarker with variable power, much less is known about copy number alterations (CNA) affecting PD-L1 and their associations with expression levels, mutational load, and survival. To gain insight, we employed The Cancer Genome Atlas (TCGA) datasets to comprehensively analyze 22 major cancer types for PD-L1 CNAs. We observed a diverse landscape of PD-L1 CNAs, which affected focal regions, chromosome 9p or the entire chromosome 9. Deletions of PD-L1 were more frequent than gains (31% vs. 12%) with deletions being most prevalent in melanoma and non-small cell lung cancer. Copy number gains most frequently occurred in ovarian cancer, head and neck cancer, bladder cancer, cervical and endocervical cancer, sarcomas, and colorectal cancers. Fine-mapping of the genetic architecture revealed specific recurrently amplified and deleted core regions across cancers with putative biological and clinical consequences. PD-L1 CNAs correlated significantly with PD-L1 mRNA expression changes in many cancer types, and tumors with PD-L1 gains harbored significantly higher mutational load compared to non-amplified cases (median: 78 non-synonymous mutations vs. 40, P = 7.1e-69). Moreover, we observed that, in general, both PD-L1 amplifications and deletions were associated with dismal prognosis. In conclusion, PD-L1 CNAs, in particular PD-L1 copy number gains, represent frequent genetic alterations across many cancers, which influence PD-L1 expression levels, are associated with higher mutational loads, and may be exploitable as predictive biomarker for immunotherapy regimens. © 2016 Wiley Periodicals, Inc.
Insights
Copy number alterations (CNAs) in PD-L1 (CD274) impact cancer immunotherapy. PD-L1 CNAs correlate with expression, mutational load, and survival, suggesting potential as predictive biomarkers for cancer treatment.
Area of Science:
- Oncology
- Cancer Genomics
- Immunotherapy
Background:
- The PD-L1 (CD274) - PD-1 axis is a key target in cancer immunotherapy, preventing tumor immune evasion.
- Immunohistochemistry for PD-L1 is an imperfect predictive biomarker; the role of copy number alterations (CNAs) is less understood.
Purpose of the Study:
- To comprehensively analyze PD-L1 CNAs across 22 cancer types using The Cancer Genome Atlas (TCGA) datasets.
- To investigate associations between PD-L1 CNAs, PD-L1 expression, tumor mutational load, and patient survival.
Main Methods:
- Utilized TCGA datasets to identify and analyze PD-L1 CNAs in 22 major cancer types.
- Correlated PD-L1 CNA status with PD-L1 mRNA expression, tumor mutational burden, and survival outcomes.
Main Results:
- Observed diverse PD-L1 CNA landscapes, with deletions more frequent (31%) than gains (12%).
- PD-L1 CNAs significantly correlated with mRNA expression changes and were linked to higher mutational loads in amplified cases.
- Both PD-L1 amplifications and deletions were generally associated with poorer prognosis across cancer types.
Conclusions:
- PD-L1 CNAs are frequent genetic alterations in cancer, influencing gene expression and tumor mutational burden.
- PD-L1 copy number gains, in particular, may serve as predictive biomarkers for immunotherapy efficacy.
- Understanding PD-L1 CNAs offers insights into cancer immune evasion and potential therapeutic strategies.
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