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 accessAbstract
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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Cites
Safety, activity, and immune correlates of anti–PD-1 antibody in cancer
Topalian, S. L., Hodi, F. S., Brahmer, J. R., Gettinger, S. N., Smith, D. C., McDermott, D. F., Powderly, J. D., Carvajal, R. D., Sosman, J. A., Atkins, M. B., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1200690 · Cited by 12,628
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
Pembrolizumab for the Treatment of Non–Small-Cell Lung Cancer
Garon, E. B., Rizvi, N. A., Hui, R., Leighl, N., Balmanoukian, A. S., Eder, J. P., Patnaik, A., Aggarwal, C., Gubens, M., Horn, L., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1501824 · Cited by 6,198
Pembrolizumab versus Ipilimumab in Advanced Melanoma
Robert, C., Schachter, J., Long, G. V., Arance, A., Grob, J. J., Mortier, L., Daud, A., Carlino, M. S., McNeil, C., Lotem, M., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1503093 · Cited by 5,887
Nivolumab in Previously Untreated Melanoma without BRAF Mutation
Robert, C., Long, G. V., Brady, B., Dutriaux, C., Maio, M., Mortier, L., Hassel, J. C., Rutkowski, P., McNeil, C., Kalinka-Warzocha, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1412082 · Cited by 5,519
Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients
Herbst, R. S., Soria, J.-C., Kowanetz, M., Fine, G. D., Hamid, O., Gordon, M. S., Sosman, J. A., McDermott, D. F., Powderly, J. D., Gettinger, S. N., et al. (2014) · Nature · doi:10.1038/nature14011 · Cited by 5,231
Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion
Dong, H., Strome, S. E., Salomao, D. R., Tamura, H., Hirano, F., Flies, D. B., Roche, P. C., Lu, J., Zhu, G., Tamada, K., et al. (2002) · Nature Medicine · doi:10.1038/nm730 · Cited by 5,025
Self-citationInterferon-γ: an overview of signals, mechanisms and functions
Schroder, K., Hertzog, P. J., Ravasi, T., & Hume, D. A. (2004) · Journal of Leukocyte Biology · doi:10.1189/jlb.0603252 · Cited by 4,120
PD-L2 is a second ligand for PD-1 and inhibits T cell activation
Latchman, Y., Wood, C. R., Chernova, T., Chaudhary, D., Borde, M., Chernova, I., Iwai, Y., Long, A. J., Brown, J. A., Nunes, R., et al. (2001) · Nature Immunology · doi:10.1038/85330 · Cited by 2,955
CELLULAR RESPONSES TO INTERFERON-γ
Boehm, U., Klamp, T., Groot, M., & Howard, J. C. (1997) · Annual Review of Immunology · doi:10.1146/annurev.immunol.15.1.749 · Cited by 2,890
Cited by
Exosomal PD-L1 contributes to immunosuppression and is associated with anti-PD-1 response
Chen, G., Huang, A. C., Zhang, W., Zhang, G., Wu, M., Xu, W., Yu, Z., Yang, J., Wang, B., Sun, H., et al. (2018) · Nature · doi:10.1038/s41586-018-0392-8 · Cited by 2,813
Comprehensive review of targeted therapy for colorectal cancer
Xie, Y.-H., Chen, Y.-X., & Fang, J.-Y. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-0116-z · Cited by 1,687
The Cytosolic DNA-Sensing cGAS–STING Pathway in Cancer
Kwon, J., & Bakhoum, S. F. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-0761 · Cited by 1,293
Targeting neoantigens to augment antitumour immunity
Yarchoan, M., Johnson, B. A., Lutz, E. R., Laheru, D. A., & Jaffee, E. M. (2017) · Nature Reviews Cancer · doi:10.1038/nrc.2016.154 · Cited by 997
Metformin Promotes Antitumor Immunity via Endoplasmic-Reticulum-Associated Degradation of PD-L1
Cha, J.-H., Yang, W.-H., Xia, W., Wei, Y., Chan, L.-C., Lim, S.-O., Li, C.-W., Kim, T., Chang, S.-S., Lee, H.-H., et al. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.07.030 · Cited by 773
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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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.