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Cited by 317

The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.

PD-L1

Open access
Kythreotou, Anthousa, Siddique, Abdul, Mauri, Francesco A, Bower, Mark, Pinato, David J·2018·Journal of Clinical Pathology

Abstract

Programmed death ligand 1 (PD-L1) is the principal ligand of programmed death 1 (PD-1), a coinhibitory receptor that can be constitutively expressed or induced in myeloid, lymphoid, normal epithelial cells and in cancer. Under physiological conditions, the PD-1/PD-L1 interaction is essential in the development of immune tolerance preventing excessive immune cell activity that can lead to tissue destruction and autoimmunity. PD-L1 expression is an immune evasion mechanism exploited by various malignancies and is generally associated with poorer prognosis. PD-L1 expression is also suggested as a predictive biomarker of response to anti-PD-1/PD-L1 therapies; however, contradictory evidence exists as to its role across histotypes. Over the years, anti-PD-1/PD-L1 agents have gained momentum as novel anticancer therapeutics, by inducing durable tumour regression in numerous malignancies including metastatic lung cancer, melanoma and many others. In this review, we discuss the immunobiology of PD-L1, with a particular focus on its clinical significance in malignancy.

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Metadata

Authors
Kythreotou, A., Siddique, A., Mauri, F. A., Bower, M., & Pinato, D. J.
Venue
Journal of Clinical Pathology
Publisher
BMJ
Published
2017-11-02
Volume
71
Issue
3
Pages
189-194
ISSN
  • 0021-9746 (ISSN-L)
  • 1472-4146
OpenAlex
W4241749643
Cited by
317
References
88
FWCI
8.08
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: PD-L1. https://app.cochat.ai/papers/10.1136/jclinpath-2017-204853
The paper
Kythreotou, A., Siddique, A., Mauri, F. A., Bower, M., & Pinato, D. J. (2018). PD-L1. Journal of Clinical Pathology. https://doi.org/10.1136/jclinpath-2017-204853

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.