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Cited by 1,437

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Anti–PD-1/PD-L1 therapy of human cancer: past, present, and future

Open access
Chen, Lieping, Han, Xue·2015·Journal of Clinical Investigation

Abstract

Major progress has been made toward our understanding of the programmed death-1/programmed death ligand-1 (PD-1/PD-L1) pathway (referred to as the PD pathway). mAbs are already being used to block the PD pathway to treat human cancers (anti-PD therapy), especially advanced solid tumors. This therapy is based on principles that were discovered through basic research more than a decade ago, but the great potential of this pathway to treat a broad spectrum of advanced human cancers is just now becoming apparent. In this Review, we will briefly review the history and development of anti-PD therapy, from the original benchwork to the most up-to-date clinical results. We will then focus the discussion on three basic principles that define this unique therapeutic approach and highlight how anti-PD therapy is distinct from other immunotherapeutic approaches, namely tumor site immune modulation, targeting tumor-induced immune defects, and repairing ongoing (rather than generating de novo) tumor immunity. We believe that these fundamental principles set the standard for future immunotherapies and will guide our efforts to develop more efficacious and less toxic immune therapeutics to treat human cancers.

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Metadata

Authors
Chen, L., & Han, X.
Venue
Journal of Clinical Investigation
Published
2015-09-01
Volume
125
Issue
9
Pages
3384-3391
ISSN
0021-9738 (ISSN-L)
OpenAlex
W1913780655
Cited by
1,437
References
21
FWCI
43.29
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Anti–PD-1/PD-L1 therapy of human cancer: past, present, and future. https://app.cochat.ai/papers/10.1172/jci80011
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Chen, L., & Han, X. (2015). Anti–PD-1/PD-L1 therapy of human cancer: past, present, and future. Journal of Clinical Investigation. https://doi.org/10.1172/jci80011

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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.