Literature DB >> 27106868

Pan-cancer analysis of copy number changes in programmed death-ligand 1 (PD-L1, CD274) - associations with gene expression, mutational load, and survival.

Jan Budczies1,2, Michael Bockmayr1, Carsten Denkert1,2, Frederick Klauschen1, Stefan Gröschel2,3,4, Silvia Darb-Esfahani1, Nicole Pfarr5, Jonas Leichsenring6, Maristela L Onozato7, Jochen K Lennerz7, Manfred Dietel1,2, Stefan Fröhling2,3,4, Peter Schirmacher2,6, A John Iafrate7, Wilko Weichert2,7, Albrecht Stenzinger6,7,8.   

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. © 2016 Wiley Periodicals, Inc.

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Year:  2016        PMID: 27106868     DOI: 10.1002/gcc.22365

Source DB:  PubMed          Journal:  Genes Chromosomes Cancer        ISSN: 1045-2257            Impact factor:   5.006


  35 in total

1.  PD-L1 (CD274) copy number gain, expression, and immune cell infiltration as candidate predictors for response to immune checkpoint inhibitors in soft-tissue sarcoma.

Authors:  Jan Budczies; Gunhild Mechtersheimer; Carsten Denkert; Frederick Klauschen; Sadaf S Mughal; Priya Chudasama; Michael Bockmayr; Korinna Jöhrens; Volker Endris; Amelie Lier; Felix Lasitschka; Roland Penzel; Manfred Dietel; Benedikt Brors; Stefan Gröschel; Hanno Glimm; Peter Schirmacher; Marcus Renner; Stefan Fröhling; Albrecht Stenzinger
Journal:  Oncoimmunology       Date:  2017-01-27       Impact factor: 8.110

2.  Copy Number Alterations in Tumor Genomes Deleting Antineoplastic Drug Targets Partially Compensated by Complementary Amplifications.

Authors:  Ha Vu Tran; Alexandra K Kiemer; Volkhard Helms
Journal:  Cancer Genomics Proteomics       Date:  2018 Sep-Oct       Impact factor: 4.069

Review 3.  Immune checkpoint blockade in solid organ tumours: Choice, dose and predictors of response.

Authors:  Vishal Navani; Moira C Graves; Nikola A Bowden; Andre Van Der Westhuizen
Journal:  Br J Clin Pharmacol       Date:  2020-06-05       Impact factor: 4.335

Review 4.  Immunogenomics: using genomics to personalize cancer immunotherapy.

Authors:  Rance C Siniard; Shuko Harada
Journal:  Virchows Arch       Date:  2017-05-20       Impact factor: 4.064

Review 5.  Antitumour immunity regulated by aberrant ERBB family signalling.

Authors:  Shogo Kumagai; Shohei Koyama; Hiroyoshi Nishikawa
Journal:  Nat Rev Cancer       Date:  2021-01-18       Impact factor: 60.716

6.  Future perspectives in cancer immunotherapy.

Authors:  Marinos Tsiatas; Giannis Mountzios; Giuseppe Curigliano
Journal:  Ann Transl Med       Date:  2016-07

7.  A comprehensive pan-cancer analysis of CD274 gene amplification, tumor mutation burden, microsatellite instability, and PD-L1 expression in Chinese cancer patients.

Authors:  Guanghui Gao; Xiao-Dong Zhang; Hu Qu; Bing Yao; Yuxi Zhou; Jianxing Xiang; Chunxiang Chen; Ting Hou; Kai Chen; Junying Xu
Journal:  Ann Transl Med       Date:  2021-04

8.  Prognostic Value of Programmed Death Ligand-1 Expression in Solid Tumors Irrespective of Immunotherapy Exposure: A Systematic Review and Meta-Analysis.

Authors:  Ramy R Saleh; Jordan L Scott; Nicholas Meti; Danielle Perlon; Rouhi Fazelzad; Alberto Ocana; Eitan Amir
Journal:  Mol Diagn Ther       Date:  2022-02-01       Impact factor: 4.074

9.  Integration of genomics and histology revises diagnosis and enables effective therapy of refractory cancer of unknown primary with PDL1 amplification.

Authors:  Stefan Gröschel; Martin Bommer; Barbara Hutter; Jan Budczies; David Bonekamp; Christoph Heining; Peter Horak; Martina Fröhlich; Sebastian Uhrig; Daniel Hübschmann; Christina Geörg; Daniela Richter; Nicole Pfarr; Katrin Pfütze; Stephan Wolf; Peter Schirmacher; Dirk Jäger; Christof von Kalle; Benedikt Brors; Hanno Glimm; Wilko Weichert; Albrecht Stenzinger; Stefan Fröhling
Journal:  Cold Spring Harb Mol Case Stud       Date:  2016-11

10.  PD-L1 Status in Refractory Lymphomas.

Authors:  Semir Vranic; Nilanjan Ghosh; Jeffery Kimbrough; Nurija Bilalovic; Ryan Bender; David Arguello; Yvonne Veloso; Aida Dizdarevic; Zoran Gatalica
Journal:  PLoS One       Date:  2016-11-18       Impact factor: 3.240

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