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Cited by 843

The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.

Human cancer immunotherapy with antibodies to the PD-1 and PD-L1 pathway

Open access
Ohaegbulam, Kim C., Assal, Amer, Lazar-Molnar, Eszter, Yao, Yu, Zang, Xingxing·2015·Trends in Molecular Medicine

Abstract

The PD-1 receptor and ligands PD-L1 and PD-L2, members of the CD28 and B7 families, play critical roles in T cell coinhibition and exhaustion. Overexpression of PD-L1 and PD-1 on tumor cells and tumor-infiltrating lymphocytes, respectively, correlates with poor disease outcome in some human cancers. Monoclonal antibodies (mAbs) blockading the PD-1/PD-L1 pathway have been developed for cancer immunotherapy via enhancing T cell functions. Clinical trials with mAbs to PD-1 and PD-L1 have shown impressive response rates in patients, particularly for melanoma, non-small-cell lung cancer, renal cell carcinoma, and bladder cancer. Further studies are needed to dissect mechanisms of variable response rate, to identify biomarkers for clinical response, to develop small molecule inhibitors, and to combine with other therapies.

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Crossref · 10.1016/j.molmed.2014.10.009

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Metadata

Authors
Ohaegbulam, K. C., Assal, A., Lazar-Molnar, E., Yao, Y., & Zang, X.
Venue
Trends in Molecular Medicine
Publisher
Elsevier BV
Published
2015-01
Volume
21
Issue
1
Pages
24-33
ISSN
1471-4914 (ISSN-L)
OpenAlex
W1991235944
Cited by
843
References
89
FWCI
3.97
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Human cancer immunotherapy with antibodies to the PD-1 and PD-L1 pathway. https://app.cochat.ai/papers/10.1016/j.molmed.2014.10.009
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Ohaegbulam, K. C., Assal, A., Lazar-Molnar, E., Yao, Y., & Zang, X. (2015). Human cancer immunotherapy with antibodies to the PD-1 and PD-L1 pathway. Trends in Molecular Medicine. https://doi.org/10.1016/j.molmed.2014.10.009

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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.