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Current status and perspectives in translational biomarker research for PD-1/PD-L1 immune checkpoint blockade therapy
Open accessAbstract
Modulating immune inhibitory pathways has been a major recent breakthrough in cancer treatment. Checkpoint blockade antibodies targeting cytotoxic T-lymphocyte antigen 4 (CTLA-4) and programed cell-death protein 1 (PD-1) have demonstrated acceptable toxicity, promising clinical responses, durable disease control, and improved survival in some patients with advanced melanoma, non-small cell lung cancer (NSCLC), and other tumor types. About 20 % of advanced NSCLC patients and 30 % of advanced melanoma patients experience tumor responses from checkpoint blockade monotherapy, with better clinical responses seen with the combination of anti-PD-1 and anti-CTLA-4 antibodies. Given the power of these new therapies, it is important to understand the complex and dynamic nature of host immune responses and the regulation of additional molecules in the tumor microenvironment and normal organs in response to the checkpoint blockade therapies. In this era of precision oncology, there remains a largely unmet need to identify the patients who are most likely to benefit from immunotherapy, to optimize the monitoring assays for tumor-specific immune responses, to develop strategies to improve clinical efficacy, and to identify biomarkers so that immune-related adverse events can be avoided. At this time, PD-L1 immunohistochemistry (IHC) staining using 22C3 antibody is the only FDA-approved companion diagnostic for patients with NSCLC-treated pembrolizumab, but more are expected to come to market. We here summarize the current knowledge, clinical efficacy, potential immune biomarkers, and associated assays for immune checkpoint blockade therapies in advanced solid tumors.
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Cites
PD-1 Blockade in Tumors with Mismatch-Repair Deficiency
Le, D. T., Uram, J. N., Wang, H., Bartlett, B. R., Kemberling, H., Eyring, A. D., Skora, A. D., Luber, B. S., Azad, N. S., Laheru, D., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1500596 · Cited by 9,377
Nivolumab versus docetaxel in advanced nonsquamous non-small-cell lung cancer
Borghaei, H., Paz-Ares, L., Horn, L., Spigel, D. R., Steins, M., Ready, N. E., Chow, L. Q., Vokes, E. E., Felip, E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1507643 · Cited by 9,335
Nivolumab versus Docetaxel in Advanced Squamous-Cell Non–Small-Cell Lung Cancer
Brahmer, J., Reckamp, K. L., Baas, P., Crinò, L., Eberhardt, W. E. E., Poddubskaya, E., Antonia, S., Pluzanski, A., Vokes, E. E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504627 · Cited by 8,447
Combined Nivolumab and Ipilimumab or Monotherapy in Untreated Melanoma
Larkin, J., Chiarion-Sileni, V., Gonzalez, R., Grob, J. J., Cowey, C. L., Lao, C. D., Schadendorf, D., Dummer, R., Smylie, M., Rutkowski, P., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504030 · Cited by 8,157
Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
Rizvi, N. A., Hellmann, M. D., Snyder, A., Kvistborg, P., Makarov, V., Havel, J. J., Lee, W., Yuan, J., Wong, P., Ho, T. S., et al. (2015) · Science · doi:10.1126/science.aaa1348 · Cited by 7,802
Self-citationPD-1 blockade induces responses by inhibiting adaptive immune resistance
Tumeh, P. C., Harview, C. L., Yearley, J. H., Shintaku, I. P., Taylor, E. J. M., Robert, L., Chmielowski, B., Spasic, M., Henry, G., Ciobanu, V., et al. (2014) · Nature · doi:10.1038/nature13954 · Cited by 6,609
Herbst, R. S., Baas, P., Kim, D.-W., Felip, E., Pérez-Gracia, J. L., Han, J.-Y., Molina, J., Kim, J.-H., Arvis, C. D., Ahn, M.-J., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(15)01281-7 · Cited by 6,449
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 versus Everolimus in Advanced Renal-Cell Carcinoma
Motzer, R. J., Escudier, B., McDermott, D. F., George, S., Hammers, H. J., Srinivas, S., Tykodi, S. S., Sosman, J. A., Procopio, G., Plimack, E. R., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1510665 · Cited by 5,807
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
PD-1 and Its Ligands in Tolerance and Immunity
Keir, M. E., Butte, M. J., Freeman, G. J., & Sharpe, A. H. (2008) · Annual Review of Immunology · doi:10.1146/annurev.immunol.26.021607.090331 · Cited by 5,378
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
Neoantigens in cancer immunotherapy
Schumacher, T. N., & Schreiber, R. D. (2015) · Science · doi:10.1126/science.aaa4971 · Cited by 4,783
Genomic and Transcriptomic Features of Response to Anti-PD-1 Therapy in Metastatic Melanoma
Hugo, W., Zaretsky, J. M., Sun, L., Song, C., Moreno, B. H., Hu-Lieskovan, S., Berent-Maoz, B., Pang, J., Chmielowski, B., Cherry, G., et al. (2016) · Cell · doi:10.1016/j.cell.2016.02.065 · Cited by 3,448
Nivolumab and ipilimumab versus ipilimumab in untreated melanoma
Postow, M. A., Chesney, J., Pavlick, A. C., Robert, C., Grossmann, K., McDermott, D., Linette, G. P., Meyer, N., Giguere, J. K., Agarwala, S. S., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1414428 · Cited by 2,781
Nishimura, H., Nose, M., Hiai, H., Minato, N., & Honjo, T. (1999) · Immunity · doi:10.1016/s1074-7613(00)80089-8 · Cited by 2,749
Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis
The International Multiple Sclerosis Genetics Consortium & The Wellcome Trust Case Control Consortium 2 (2011) · Nature · doi:10.1038/nature10251 · Cited by 2,697
Radiation and dual checkpoint blockade activate non-redundant immune mechanisms in cancer
Twyman-Saint Victor, C., Rech, A. J., Maity, A., Rengan, R., Pauken, K. E., Stelekati, E., Benci, J. L., Xu, B., Dada, H., Odorizzi, P. M., et al. (2015) · Nature · doi:10.1038/nature14292 · Cited by 2,434
Topalian, S. L., Sznol, M., McDermott, D. F., Kluger, H. M., Carvajal, R. D., Sharfman, W. H., Brahmer, J. R., Lawrence, D. P., Atkins, M. B., Powderly, J. D., et al. (2014) · Journal of Clinical Oncology · doi:10.1200/jco.2013.53.0105 · Cited by 2,222
Ahmadzadeh, M., Johnson, L. A., Heemskerk, B., Wunderlich, J. R., Dudley, M. E., White, D. E., & Rosenberg, S. A. (2009) · Blood · doi:10.1182/blood-2008-12-195792 · Cited by 1,766
Macrophages and Therapeutic Resistance in Cancer
Ruffell, B., & Coussens, L. M. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.02.015 · Cited by 1,474
Rizvi, N. A., Mazières, J., Planchard, D., Stinchcombe, T. E., Dy, G. K., Antonia, S. J., Horn, L., Lena, H., Minenza, E., Mennecier, B., et al. (2015) · The Lancet Oncology · doi:10.1016/s1470-2045(15)70054-9 · Cited by 1,415
Blockade of B7-H1 improves myeloid dendritic cell-mediated antitumor immunity
Curiel, T. J., Wei, S., Dong, H., Alvarez, X., Cheng, P., Mottram, P., Krzysiek, R., Knutson, K. L., Daniel, B., Zimmermann, M. C., et al. (2003) · Nature Medicine · doi:10.1038/nm863 · Cited by 1,314
Association of Pembrolizumab With Tumor Response and Survival Among Patients With Advanced Melanoma
Ribas, A., Hamid, O., Daud, A., Hodi, F. S., Wolchok, J. D., Kefford, R., Joshua, A. M., Patnaik, A., Hwu, W.-J., Weber, J. S., et al. (2016) · JAMA · doi:10.1001/jama.2016.4059 · Cited by 1,069
Blockade of B7-H1 and PD-1 by monoclonal antibodies potentiates cancer therapeutic immunity
Hirano, F., Kaneko, K., Tamura, H., Dong, H., Wang, S., Ichikawa, M., Rietz, C., Flies, D. B., Lau, J. S., Zhu, G., et al. (2005) · Cancer Research · doi:10.1158/0008-5472.1089.65.3 · Cited by 1,018
Skoulidis, F., Byers, L. A., Diao, L., Papadimitrakopoulou, V. A., Tong, P., Izzo, J., Behrens, C., Kadara, H., Parra, E. R., Canales, J. R., et al. (2015) · Cancer Discovery · doi:10.1158/2159-8290.cd-14-1236 · Cited by 936
Bouffet, E., Larouche, V., Campbell, B. B., Merico, D., de Borja, R., Aronson, M., Durno, C., Krueger, J., Cabric, V., Ramaswamy, V., et al. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2016.66.6552 · Cited by 857
Benson, D. M., Bakan, C. E., Mishra, A., Hofmeister, C. C., Efebera, Y., Becknell, B., Baiocchi, R. A., Zhang, J., Yu, J., Smith, M. K., et al. (2010) · Blood · doi:10.1182/blood-2010-02-271874 · Cited by 807
Lastwika, K. J., Wilson, W., Li, Q. K., Norris, J., Xu, H., Ghazarian, S. R., Kitagawa, H., Kawabata, S., Taube, J. M., Yao, S., et al. (2016) · Cancer Research · doi:10.1158/0008-5472.can-14-3362 · Cited by 785
Ipilimumab Therapy in Patients With Advanced Melanoma and Preexisting Autoimmune Disorders
Johnson, D. B., Sullivan, R. J., Ott, P. A., Carlino, M. S., Khushalani, N. I., Ye, F., Guminski, A., Puzanov, I., Lawrence, D. P., Buchbinder, E. I., et al. (2016) · JAMA Oncology · doi:10.1001/jamaoncol.2015.4368 · Cited by 642
Antonia, S., Goldberg, S. B., Balmanoukian, A., Chaft, J. E., Sanborn, R. E., Gupta, A., Narwal, R., Steele, K., Gu, Y., Karakunnel, J. J., et al. (2016) · The Lancet Oncology · doi:10.1016/s1470-2045(15)00544-6 · Cited by 602
Spranger, S., Koblish, H. K., Horton, B., Scherle, P. A., Newton, R., & Gajewski, T. F. (2014) · Journal for ImmunoTherapy of Cancer · doi:10.1186/2051-1426-2-3 · Cited by 552
Improved Survival with T Cell Clonotype Stability After Anti–CTLA-4 Treatment in Cancer Patients
Cha, E., Klinger, M., Hou, Y., Cummings, C., Ribas, A., Faham, M., & Fong, L. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3008211 · Cited by 383
Conservation and divergence in the transcriptional programs of the human and mouse immune systems
Shay, T., Jojic, V., Zuk, O., Rothamel, K., Puyraimond-Zemmour, D., Feng, T., Wakamatsu, E., Benoist, C., Koller, D., Regev, A., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222738110 · Cited by 359
Expression and regulation of the PD-L1 immunoinhibitory molecule on microvascular endothelial cells
Eppihimer, M., Gunn, J., Freeman, G., Greenfield, E., Chernova, T., Erickson, J., & Leonard, J. (2002) · Microcirculation · doi:10.1080/713774061 · Cited by 272
Guidelines for the automated evaluation of Elispot assays
Janetzki, S., Price, L., Schroeder, H., Britten, C. M., Welters, M. J. P., & Hoos, A. (2015) · Nature Protocols · doi:10.1038/nprot.2015.068 · Cited by 88
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Maimela, N. R., Liu, S., & Zhang, Y. (2019) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2018.11.004 · Cited by 459
Current Development Status of MEK Inhibitors
Cheng, Y., & Tian, H. (2017) · Molecules · doi:10.3390/molecules22101551 · Cited by 291
Development of PARP and immune-checkpoint inhibitor combinations
Stewart, R. A., Pilié, P. G., & Yap, T. A. (2018) · Cancer Research · doi:10.1158/0008-5472.can-18-2652 · Cited by 239
Gut microbiome modulates efficacy of immune checkpoint inhibitors
Yi, M., Yu, S., Qin, S., Liu, Q., Xu, H., Zhao, W., Chu, Q., & Wu, K. (2018) · Journal of Hematology & Oncology · doi:10.1186/s13045-018-0592-6 · Cited by 179
Autoimmune endocrine dysfunctions associated with cancer immunotherapies
Ferrari, S. M., Fallahi, P., Elia, G., Ragusa, F., Ruffilli, I., Patrizio, A., Galdiero, M. R., Baldini, E., Ulisse, S., Marone, G., et al. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20102560 · Cited by 107
Metadata
- Authors
- Ma, W., Gilligan, B. M., Yuan, J., & Li, T.
- Venue
- Journal of Hematology & Oncology
- Published
- 2016-05-27
- Volume
- 9
- Issue
- 1
- Pages
- 47-47
- ISSN
- 1756-8722 (ISSN-L)
- OpenAlex
- W2400328547
- Cited by
- 327
- References
- 37
- FWCI
- 27.35
- Type
- journal article
- Language
- en
- Open access
- gold
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