The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
PD-1/PD-L1 inhibitors
Open accessAbstract
Tumors may adopt normal physiologic checkpoints for immunomodulation leading to an imbalance between tumor growth and host surveillance. Antibodies targeting the PD-1/PD-L1 checkpoint have shown dynamic and durable tumor regressions, suggesting a rebalancing of the host-tumor interaction. Nivolumab and pembrolizumab are the anti-PD-1 antibodies that are currently the furthest in clinical development, and anti-PD-L1 agents under investigation include MPDL3280A, MEDI4736, and BMS-936559. These agents have been used to treat advanced melanoma, non-small cell lung cancer, renal cell carcinoma, bladder cancer and Hodgkin lymphoma, amongst other tumor types. In this article, we review the updated response results for early clinical trials, note recent FDA actions regarding this class of agents, and summarize results across trials looking at PD-L1 status as a predictor of response to anti-PD-1/PD-L1.
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Citations
Cites
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F.-A., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E.-M., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,845
New Guidelines to Evaluate the Response to Treatment in Solid Tumors
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Adverse Renal Effects of Immune Checkpoint Inhibitors: A Narrative Review
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Safety, activity, and immune correlates of anti–PD-1 antibody in cancer
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Self-citationSafety and activity of anti-PD-L1 antibody in patients with advanced cancer
Brahmer, J. R., Tykodi, S. S., Chow, L. Q. M., Hwu, W.-J., Topalian, S. L., Hwu, P., Drake, C. G., Camacho, L. H., Kauh, J., Odunsi, K., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1200694 · Cited by 7,945
Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
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PD-1 blockade induces responses by inhibiting adaptive immune resistance
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Nivolumab in Previously Untreated Melanoma without BRAF Mutation
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Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients
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Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion
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Cited by
Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden
Chalmers, Z. R., Connelly, C. F., Fabrizio, D., Gay, L., Ali, S. M., Ennis, R., Schrock, A., Campbell, B., Shlien, A., Chmielecki, J., et al. (2017) · Genome Medicine · doi:10.1186/s13073-017-0424-2 · Cited by 3,519
Mechanism-driven biomarkers to guide immune checkpoint blockade in cancer therapy
Topalian, S. L., Taube, J. M., Anders, R. A., & Pardoll, D. M. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.36 · Cited by 2,733
Self-citationThe evolving landscape of biomarkers for checkpoint inhibitor immunotherapy
Havel, J. J., Chowell, D., & Chan, T. A. (2019) · Nature Reviews Cancer · doi:10.1038/s41568-019-0116-x · Cited by 2,286
Powles, T., Plimack, E. R., Soulières, D., Waddell, T., Stus, V., Gafanov, R., Nosov, D., Pouliot, F., Melichar, B., Vynnychenko, I., et al. (2020) · The Lancet Oncology · doi:10.1016/s1470-2045(20)30436-8 · Cited by 751
PD-L2 Expression in Human Tumors: Relevance to Anti-PD-1 Therapy in Cancer
Yearley, J. H., Gibson, C., Yu, N., Moon, C., Murphy, E., Juco, J., Lunceford, J., Cheng, J., Chow, L. Q. M., Seiwert, T. Y., et al. (2017) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-16-1761 · Cited by 594
Metadata
- Authors
- Sunshine, J., & Taube, J. M.
- Venue
- Current Opinion in Pharmacology
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 23
- Pages
- 32-38
- ISSN
- 1471-4892 (ISSN-L)
- OpenAlex
- W3061157080
- Cited by
- 560
- References
- 51
- FWCI
- 7.04
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
