Pan‐cancer analysis of copy number changes in programmed death‐ligand 1 (PD‐L1, CD274) – associations with gene expression, mutational load, and survival. Issue 8 (30th May 2016)
- Record Type:
- Journal Article
- Title:
- Pan‐cancer analysis of copy number changes in programmed death‐ligand 1 (PD‐L1, CD274) – associations with gene expression, mutational load, and survival. Issue 8 (30th May 2016)
- Main Title:
- Pan‐cancer analysis of copy number changes in programmed death‐ligand 1 (PD‐L1, CD274) – associations with gene expression, mutational load, and survival
- Authors:
- Budczies, Jan
Bockmayr, Michael
Denkert, Carsten
Klauschen, Frederick
Gröschel, Stefan
Darb‐Esfahani, Silvia
Pfarr, Nicole
Leichsenring, Jonas
Onozato, Maristela L.
Lennerz, Jochen K.
Dietel, Manfred
Fröhling, Stefan
Schirmacher, Peter
Iafrate, A. John
Weichert, Wilko
Stenzinger, Albrecht - Abstract:
- 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 wereAbstract : 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. … (more)
- Is Part Of:
- Genes, chromosomes & cancer. Volume 55:Issue 8(2016:Aug.)
- Journal:
- Genes, chromosomes & cancer
- Issue:
- Volume 55:Issue 8(2016:Aug.)
- Issue Display:
- Volume 55, Issue 8 (2016)
- Year:
- 2016
- Volume:
- 55
- Issue:
- 8
- Issue Sort Value:
- 2016-0055-0008-0000
- Page Start:
- 626
- Page End:
- 639
- Publication Date:
- 2016-05-30
- Subjects:
- Cancer -- Genetic aspects -- Periodicals
616.994042 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1098-2264 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/gcc.22365 ↗
- Languages:
- English
- ISSNs:
- 1045-2257
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4111.763000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 953.xml