The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Cancer Immunotherapy with Immunomodulatory Anti-CD137 and Anti–PD-1 Monoclonal Antibodies Requires BATF3-Dependent Dendritic Cells
Open accessAbstract
Weak and ineffective antitumor cytotoxic T lymphocyte (CTL) responses can be rescued by immunomodulatory mAbs targeting PD-1 or CD137. Using Batf3−/− mice, which are defective for cross-presentation of cell-associated antigens, we show that BATF3-dependent dendritic cells (DC) are essential for the response to therapy with anti-CD137 or anti–PD-1 mAbs. Batf3−/− mice failed to prime an endogenous CTL-mediated immune response toward tumor-associated antigens, including neoantigens. As a result, the immunomodulatory mAbs could not amplify any therapeutically functional immune response in these mice. Moreover, administration of systemic sFLT3L and local poly-ICLC enhanced DC-mediated cross-priming and synergized with anti–CD137- and anti–PD-1–mediated immunostimulation in tumor therapy against B16-ovalbumin–derived melanomas, whereas this function was lost in Batf3−/− mice. These experiments show that cross-priming of tumor antigens by FLT3L- and BATF3-dependent DCs is crucial to the efficacy of immunostimulatory mAbs and represents a very attractive point of intervention to enhance their clinical antitumor effects. Significance: Immunotherapy with immunostimulatory mAbs is currently achieving durable clinical responses in different types of cancer. We show that cross-priming of tumor antigens by BATF3-dependent DCs is a key limiting factor that can be exploited to enhance the antitumor efficacy of anti–PD-1 and anti-CD137 immunostimulatory mAbs. Cancer Discov; 6(1); 71–9. ©2015 AACR. See related commentary by Robert-Tissot and Speiser, p. 17. This article is highlighted in the In This Issue feature, p. 1
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Cites
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
Neoantigens in cancer immunotherapy
Schumacher, T. N., & Schreiber, R. D. (2015) · Science · doi:10.1126/science.aaa4971 · Cited by 4,783
Melanoma-intrinsic β-catenin signalling prevents anti-tumour immunity
Spranger, S., Bao, R., & Gajewski, T. F. (2015) · Nature · doi:10.1038/nature14404 · Cited by 2,830
Batf3 Deficiency Reveals a Critical Role for CD8α + Dendritic Cells in Cytotoxic T Cell Immunity
Hildner, K., Edelson, B. T., Purtha, W. E., Diamond, M., Matsushita, H., Kohyama, M., Calderon, B., Schraml, B. U., Unanue, E. R., Diamond, M. S., et al. (2008) · Science · doi:10.1126/science.1164206 · Cited by 2,081
Checkpoint blockade cancer immunotherapy targets tumour-specific mutant antigens
Gubin, M. M., Zhang, X., Schuster, H., Caron, E., Ward, J. P., Noguchi, T., Ivanova, Y., Hundal, J., Arthur, C. D., Krebber, W.-J., et al. (2014) · Nature · doi:10.1038/nature13988 · Cited by 1,974 · cited 2×
“Each addition to our knowledge in this area of tumor antigen cross-priming has the potential to provide predictive biomarkers for the efficacy of immunostimulatory mAbs, since cross-priming against tumor neo-antigens seems to be a key determinant of the variable efficacy of these treatments in mice and humans (1, 12,…”
Immunosuppressive Strategies that are Mediated by Tumor Cells
Rabinovich, G. A., Gabrilovich, D., & Sotomayor, E. M. (2007) · Annual Review of Immunology · doi:10.1146/annurev.immunol.25.022106.141609 · Cited by 1,702
Cross-presentation by dendritic cells
Joffre, O. P., Segura, E., Savina, A., & Amigorena, S. (2012) · Nature Reviews Immunology · doi:10.1038/nri3254 · Cited by 1,637
Broz, M. L., Binnewies, M., Boldajipour, B., Nelson, A. E., Pollack, J. L., Erle, D. J., Barczak, A., Rosenblum, M. D., Daud, A., Barber, D. L., et al. (2014) · Cancer Cell · doi:10.1016/j.ccell.2014.09.007 · Cited by 1,207
Fuertes, M. B., Kacha, A. K., Kline, J., Woo, S.-R., Kranz, D. M., Murphy, K. M., & Gajewski, T. F. (2011) · Journal of Experimental Medicine · doi:10.1084/jem.20101159 · Cited by 1,192
Predicting immunogenic tumour mutations by combining mass spectrometry and exome sequencing
Yadav, M., Jhunjhunwala, S., Phung, Q. T., Lupardus, P., Tanguay, J., Bumbaca, S., Franci, C., Cheung, T. K., Fritsche, J., Weinschenk, T., et al. (2014) · Nature · doi:10.1038/nature14001 · Cited by 1,186
Cited by
Understanding the tumor immune microenvironment (TIME) for effective therapy
Binnewies, M., Roberts, E. W., Kersten, K., Chan, V., Fearon, D. F., Merad, M., Coussens, L. M., Gabrilovich, D. I., Ostrand-Rosenberg, S., Hedrick, C. C., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0014-x · Cited by 6,145
Fundamental Mechanisms of Immune Checkpoint Blockade Therapy
Wei, S. C., Duffy, C. R., & Allison, J. P. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-18-0367 · Cited by 3,088
Dendritic cells in cancer immunology and immunotherapy
Wculek, S. K., Cueto, F. J., Mujal, A. M., Melero, I., Krummel, M. F., & Sancho, D. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-019-0210-z · Cited by 2,574
Self-citationBöttcher, J. P., Bonavita, E., Chakravarty, P., Blees, H., Cabeza-Cabrerizo, M., Sammicheli, S., Rogers, N. C., Sahai, E., Zelenay, S., & Reis e Sousa, C. (2018) · Cell · doi:10.1016/j.cell.2018.01.004 · Cited by 1,857
Advances in immunotherapy for hepatocellular carcinoma
Sangro, B., Sarobe, P., Hervás-Stubbs, S., & Melero, I. (2021) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-021-00438-0 · Cited by 1,306
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Metadata
- Authors
- Sánchez-Paulete, A. R., Cueto, F. J., Martínez-López, M., Labiano, S., Morales-Kastresana, A., Rodríguez-Ruiz, M. E., Jure-Kunkel, M., Azpilikueta, A., Aznar, M. A., Quetglas, J. I., Sancho, D., & Melero, I.
- Venue
- Cancer Discovery
- Published
- 2016-01-01
- Volume
- 6
- Issue
- 1
- Pages
- 71-79
- ISSN
- 2159-8274 (ISSN-L)
- 2159-8290
- OpenAlex
- W2180091996
- Cited by
- 484
- References
- 29
- FWCI
- 11.95
- Type
- journal article
- Language
- en
- Open access
- green
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- Sánchez-Paulete, A. R., Cueto, F. J., Martínez-López, M., Labiano, S., Morales-Kastresana, A., Rodríguez-Ruiz, M. E., Jure-Kunkel, M., Azpilikueta, A., Aznar, M. A., Quetglas, J. I., Sancho, D., & Melero, I. (2016). Cancer Immunotherapy with Immunomodulatory Anti-CD137 and Anti–PD-1 Monoclonal Antibodies Requires BATF3-Dependent Dendritic Cells. Cancer Discovery. https://doi.org/10.1158/2159-8290.cd-15-0510
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