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Cited by 531

The DOI matches its Crossref record; 134 of the 134 references it cites were found in a registry or an index.

Application of PD-1 Blockade in Cancer Immunotherapy

Open access
Wu, Xiaomo, Gu, Zhongkai, Chen, Yang, Chen, Borui, Chen, Wei, Weng, Liqiang, Liu, Xiaolong·2019·Computational and Structural Biotechnology Journal

Abstract

The programmed cell death protein 1 (PD-1) pathway has received considerable attention due to its role in eliciting the immune checkpoint response of T cells, resulting in tumor cells capable of evading immune surveillance and being highly refractory to conventional chemotherapy. Application of anti-PD-1/PD-L1 antibodies as checkpoint inhibitors is rapidly becoming a promising therapeutic approach in treating tumors, and some of them have successfully been commercialized in the past few years. However, not all patients show complete responses and adverse events have been noted, suggesting a better understanding of PD-1 pathway mediated immunosuppression is needed to predict patient response and improve treatment efficacy. Here, we review the progresses on the studies of the mechanistic role of PD-1 pathway in the tumor immune evasion, recent clinical development and commercialization of PD-1 pathway inhibitors, the toxicities associated with PD-1 blockade observed in clinical trials as well as how to improve therapeutic efficacy and safety of cancer immunotherapy.

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Metadata

Authors
Wu, X., Gu, Z., Chen, Y., Chen, B., Chen, W., Weng, L., & Liu, X.
Venue
Computational and Structural Biotechnology Journal
Published
2019
Volume
17
Pages
661-674
ISSN
2001-0370 (ISSN-L)
OpenAlex
W2945219971
Cited by
531
References
134
FWCI
23.49
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Application of PD-1 Blockade in Cancer Immunotherapy. https://app.cochat.ai/papers/10.1016/j.csbj.2019.03.006
The paper
Wu, X., Gu, Z., Chen, Y., Chen, B., Chen, W., Weng, L., & Liu, X. (2019). Application of PD-1 Blockade in Cancer Immunotherapy. Computational and Structural Biotechnology Journal. https://doi.org/10.1016/j.csbj.2019.03.006

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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.