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Blocking Antibodies Targeting the CD39/CD73 Immunosuppressive Pathway Unleash Immune Responses in Combination Cancer Therapies
Open accessAbstract
Immune checkpoint inhibitors have revolutionized cancer treatment. However, many cancers are resistant to ICIs, and the targeting of additional inhibitory signals is crucial for limiting tumor evasion. The production of adenosine via the sequential activity of CD39 and CD73 ectoenzymes participates to the generation of an immunosuppressive tumor microenvironment. In order to disrupt the adenosine pathway, we generated two antibodies, IPH5201 and IPH5301, targeting human membrane-associated and soluble forms of CD39 and CD73, respectively, and efficiently blocking the hydrolysis of immunogenic ATP into immunosuppressive adenosine. These antibodies promoted antitumor immunity by stimulating dendritic cells and macrophages and by restoring the activation of T cells isolated from cancer patients. In a human CD39 knockin mouse preclinical model, IPH5201 increased the anti-tumor activity of the ATP-inducing chemotherapeutic drug oxaliplatin. These results support the use of anti-CD39 and anti-CD73 monoclonal antibodies and their combination with immune checkpoint inhibitors and chemotherapies in cancer.
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Cites
Coot : model-building tools for molecular graphics
Emsley, P., & Cowtan, K. (2004) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444904019158 · Cited by 30,571
Features and development of Coot
Emsley, P., Lohkamp, B., Scott, W. G., & Cowtan, K. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444910007493 · Cited by 29,915
Kabsch, W. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909047337 · Cited by 16,463
MolProbity : all-atom structure validation for macromolecular crystallography
Chen, V. B., Arendall, W. B., Headd, J. J., Keedy, D. A., Immormino, R. M., Kapral, G. J., Murray, L. W., Richardson, J. S., & Richardson, D. C. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909042073 · Cited by 14,115
Overview of the CCP 4 suite and current developments
Winn, M. D., Ballard, C. C., Cowtan, K. D., Dodson, E. J., Emsley, P., Evans, P. R., Keegan, R. M., Krissinel, E. B., Leslie, A. G. W., McCoy, A., et al. (2011) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444910045749 · Cited by 12,353
Primary, Adaptive, and Acquired Resistance to Cancer Immunotherapy
Sharma, P., Hu-Lieskovan, S., Wargo, J. A., & Ribas, A. (2017) · Cell · doi:10.1016/j.cell.2017.01.017 · Cited by 5,588
The future of immune checkpoint therapy
Sharma, P., & Allison, J. P. (2015) · Science · doi:10.1126/science.aaa8172 · Cited by 4,878
Scaling and assessment of data quality
Evans, P. (2006) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444905036693 · Cited by 4,374
Molecular replacement with MOLREP
Vagin, A., & Teplyakov, A. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909042589 · Cited by 3,604
Immunogenic Cell Death in Cancer Therapy
Kroemer, G., Galluzzi, L., Kepp, O., & Zitvogel, L. (2013) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032712-100008 · Cited by 3,303
EMAN: Semiautomated Software for High-Resolution Single-Particle Reconstructions
Ludtke, S. J., Baldwin, P. R., & Chiu, W. (1999) · Journal of Structural Biology · doi:10.1006/jsbi.1999.4174 · Cited by 2,391
Immune checkpoint targeting in cancer therapy: toward combination strategies with curative potential
Sharma, P., & Allison, J. P. (2015) · Cell · doi:10.1016/j.cell.2015.03.030 · Cited by 2,345
Autophagy-Dependent Anticancer Immune Responses Induced by Chemotherapeutic Agents in Mice
Michaud, M., Martins, I., Sukkurwala, A. Q., Adjemian, S., Ma, Y., Pellegatti, P., Shen, S., Kepp, O., Scoazec, M., Mignot, G., et al. (2011) · Science · doi:10.1126/science.1208347 · Cited by 1,377
Bystander CD8+ T cells are abundant and phenotypically distinct in human tumour infiltrates
Simoni, Y., Becht, E., Fehlings, M., Loh, C. Y., Koo, S.-L., Teng, K. W. W., Yeong, J. P. S., Nahar, R., Zhang, T., Kared, H., et al. (2018) · Nature · doi:10.1038/s41586-018-0130-2 · Cited by 1,370
Okazaki, T., Chikuma, S., Iwai, Y., Fagarasan, S., & Honjo, T. (2013) · Nature Immunology · doi:10.1038/ni.2762 · Cited by 916
Palucka, A. K., & Coussens, L. M. (2016) · Cell · doi:10.1016/j.cell.2016.01.049 · Cited by 843
Refinement of severely incomplete structures with maximum likelihood in BUSTER–TNT
Blanc, E., Roversi, P., Vonrhein, C., Flensburg, C., Lea, S. M., & Bricogne, G. (2004) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444904016427 · Cited by 717
Blank, C., & Mackensen, A. (2007) · Cancer Immunology, Immunotherapy · doi:10.1007/s00262-006-0272-1 · Cited by 505
CD38-Mediated Immunosuppression as a Mechanism of Tumor Cell Escape from PD-1/PD-L1 Blockade
Chen, L., Diao, L., Yang, Y., Yi, X., Rodriguez, B. L., Li, Y., Villalobos, P. A., Cascone, T., Liu, X., Tan, L., et al. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-1033 · Cited by 462
Targeting CD73 Enhances the Antitumor Activity of Anti-PD-1 and Anti-CTLA-4 mAbs
Allard, B., Pommey, S., Smyth, M. J., & Stagg, J. (2013) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-13-0545 · Cited by 458
CD39 Expression Defines Cell Exhaustion in Tumor-Infiltrating CD8+ T Cells
Canale, F. P., Ramello, M. C., Núñez, N., Furlan, C. L. A., Bossio, S. N., Serrán, M. G., Boari, J. T., del Castillo, A., Ledesma, M., Sedlik, C., et al. (2018) · Cancer Research · doi:10.1158/0008-5472.can-16-2684 · Cited by 408
CD73-Deficient Mice Have Increased Antitumor Immunity and Are Resistant to Experimental Metastasis
Stagg, J., Divisekera, U., Duret, H., Sparwasser, T., Teng, M. W. L., Darcy, P. K., & Smyth, M. J. (2011) · Cancer Research · doi:10.1158/0008-5472.can-10-4246 · Cited by 401
CD39 Expression Identifies Terminally Exhausted CD8+ T Cells
Gupta, P. K., Godec, J., Wolski, D., Adland, E., Yates, K., Pauken, K. E., Cosgrove, C., Ledderose, C., Junger, W. G., Robson, S. C., et al. (2015) · PLOS Pathogens · doi:10.1371/journal.ppat.1005177 · Cited by 396
Co-inhibition of CD73 and A2AR Adenosine Signaling Improves Anti-tumor Immune Responses
Young, A., Ngiow, S. F., Barkauskas, D. S., Sult, E., Hay, C., Blake, S. J., Huang, Q., Liu, J., Takeda, K., Teng, M. W. L., et al. (2016) · Cancer Cell · doi:10.1016/j.ccell.2016.06.025 · Cited by 388
Blockade of A 2A receptors potently suppresses the metastasis of CD73 + tumors
Beavis, P. A., Divisekera, U., Paget, C., Chow, M. T., John, L. B., Devaud, C., Dwyer, K., Stagg, J., Smyth, M. J., & Darcy, P. K. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1308209110 · Cited by 345
Sun, X., Wu, Y., Gao, W., Enjyoji, K., Csizmadia, E., Müller, C. E., Murakami, T., & Robson, S. C. (2010) · Gastroenterology · doi:10.1053/j.gastro.2010.05.007 · Cited by 279
White, N., & Burnstock, G. (2006) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2006.02.004 · Cited by 251
Bastid, J., Regairaz, A., Bonnefoy, N., Déjou, C., Giustiniani, J., Laheurte, C., Cochaud, S., Laprevotte, E., Funck-Brentano, E., Hemon, P., et al. (2015) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-14-0018 · Cited by 240
Self-citationAnti-CD73 in Cancer Immunotherapy: Awakening New Opportunities
Antonioli, L., Yegutkin, G. G., Pacher, P., Blandizzi, C., & Haskó, G. (2016) · Trends in Cancer · doi:10.1016/j.trecan.2016.01.003 · Cited by 213
CD73-Deficient Mice Are Resistant to Carcinogenesis
Stagg, J., Beavis, P. A., Divisekera, U., Liu, M. C. P., Möller, A., Darcy, P. K., & Smyth, M. J. (2012) · Cancer Research · doi:10.1158/0008-5472.can-12-0420 · Cited by 211
Knapp, K., Zebisch, M., Pippel, J., El-Tayeb, A., Müller, C. E., & Sträter, N. (2012) · Structure · doi:10.1016/j.str.2012.10.001 · Cited by 207
CD39/Adenosine Pathway Is Involved in AIDS Progression
Nikolova, M., Carriere, M., Jenabian, M.-A., Limou, S., Younas, M., Kök, A., Huë, S., Seddiki, N., Hulin, A., Delaneau, O., et al. (2011) · PLoS Pathogens · doi:10.1371/journal.ppat.1002110 · Cited by 177
Self-citationAnti‐CD73 therapy impairs tumor angiogenesis
Allard, B., Turcotte, M., Spring, K., Pommey, S., Royal, I., & Stagg, J. (2014) · International Journal of Cancer · doi:10.1002/ijc.28456 · Cited by 171
Enhancement of tumor immunotherapy by deletion of the A2A adenosine receptor
Waickman, A. T., Alme, A., Senaldi, L., Zarek, P. E., Horton, M. R., & Powell, J. D. (2011) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-011-1155-7 · Cited by 155
Feng, L., Sun, X., Csizmadia, E., Han, L., Shu, B., Murakami, T., Wang, X., Robson, S. C., & Wu, Y. (2011) · Neoplasia · doi:10.1593/neo.101332 · Cited by 145
Adenosine limits the therapeutic effectiveness of anti-CTLA4 mAb in a mouse melanoma model.
Iannone, R., Miele, L., Maiolino, P., Pinto, A., & Morello, S. (2014) · Europe PMC (PubMed Central) · Cited by 129
ATP and Its Metabolite Adenosine as Regulators of Dendritic Cell Activity
Silva-Vilches, C., Ring, S., & Mahnke, K. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.02581 · Cited by 127
Impact of CD39 and purinergic signalling on the growth and metastasis of colorectal cancer
Künzli, B. M., Bernlochner, M.-I., Rath, S., Käser, S. A., Csizmadia, E., Enjyoji, K., Cowan, P. J., d’Apice, A. J. F., Dwyer, K. M., Rosenberg, R., et al. (2011) · Purinergic Signalling · doi:10.1007/s11302-011-9228-9 · Cited by 123
Geoghegan, J. C., Diedrich, G., Lu, X., Rosenthal, K., Sachsenmeier, K. F., Wu, H., Dall’Acqua, W. F., & Damschroder, M. M. (2016) · mAbs · doi:10.1080/19420862.2016.1143182 · Cited by 113
Häusler, S. F., del Barrio, I. M., Diessner, J., Stein, R. G., Strohschein, J., Hönig, A., Dietl, J., & Wischhusen, J. (2014) · Europe PMC (PubMed Central) · Cited by 109
Mello, P. D. A., Coutinho‐Silva, R., & Savio, L. E. B. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01526 · Cited by 108
Disordered Purinergic Signaling Inhibits Pathological Angiogenesis in Cd39/Entpd1-Null Mice
Jackson, S. W., Hoshi, T., Wu, Y., Sun, X., Enjyoji, K., Cszimadia, E., Sundberg, C., & Robson, S. C. (2007) · American Journal Of Pathology · doi:10.2353/ajpath.2007.070190 · Cited by 104
Sun, X., Han, L., Seth, P., Shu, B., Li, L., Csizmadia, E., JUNGER, W. G., Schmelzle, M., Usheva, A., Tapper, E. B., et al. (2012) · Hepatology · doi:10.1002/hep.25989 · Cited by 89
Hilchey, S. P., Kobie, J. J., Cochran, M. R., Secor‐Socha, S., Wang, J.-C. E., Hyrien, O., Burack, R., Mosmann, T. R., Quataert, S. A., & Bernstein, S. H. (2009) · The Journal of Immunology · doi:10.4049/jimmunol.0900475 · Cited by 87
Overman, M. J., LoRusso, P. M., Strickler, J. H., et al. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2018.36.15_suppl.4123 · Cited by 78
Antonioli, L., Novitskiy, S. V., Sachsenmeier, K. F., Fornai, M., Blandizzi, C., & Haskó, G. (2017) · Drug Discovery Today · doi:10.1016/j.drudis.2017.06.005 · Cited by 77
Siu, L. L., Burris, H. A., Le, D. T., et al. (2018) · Cancer Research · doi:10.1158/1538-7445.am2018-ct180 · Cited by 66
Autoimmunity in CD73/Ecto-5′-Nucleotidase Deficient Mice Induces Renal Injury
Blume, C. A., Felix, A., Shushakova, N., Gueler, F., Falk, C. S., Haller, H. G., & Schrader, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037100 · Cited by 42
CD39 is a promising therapeutic antibody target for the treatment of soft tissue sarcoma.
Hayes, G. M., Cairns, B., Levashova, Z. B., Chinn, L., Perez, M., Theunissen, J.-W. F., Liao-Chan, S., Bermudez, A., Flory, M. R., Schweighofer, K. J., et al. (2015) · PubMed Central · Cited by 41
Gupta, P. K., Jaiswal, A. K., Asthana, S., Dube, A., & Mishra, P. R. (2015) · Biomacromolecules · doi:10.1021/bm5015156 · Cited by 11
Larrick, J. W., Alfenito, M. R., Scott, J. K., Parren, P. W. H. I., Burton, D. R., Bradbury, A. M., Lemere, C. A., Messer, A. C., Huston, J. S., Carter, P. J., et al. (2016) · mAbs · doi:10.1080/19420862.2016.1227665 · Cited by 4
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Laskowski, T. J., Biederstädt, A., & Rezvani, K. (2022) · Nature Reviews Cancer · doi:10.1038/s41568-022-00491-0 · Cited by 773
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Allard, B., Allard, D., Buisseret, L., & Stagg, J. (2020) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-020-0382-2 · Cited by 586
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Metadata
- Authors
- Perrot, I., Michaud, H.-A., Giraudon-Paoli, M., Augier, S., Docquier, A., Gros, L., Courtois, R., Déjou, C., Jecko, D., Becquart, O., Rispaud-Blanc, H., Gauthier, L., Rossi, B., Chanteux, S., Gourdin, N., Amigues, B., Roussel, A., Bensussan, A., Eliaou, J.-F., Bastid, J., Romagné, F., Morel, Y., Narni-Mancinelli, E., Vivier, E., Paturel, C., & Bonnefoy, N.
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 27
- Issue
- 8
- Pages
- 2411-2425.e9
- ISSN
- 2211-1247 (ISSN-L)
- OpenAlex
- W2945715301
- Cited by
- 423
- References
- 51
- FWCI
- 33.06
- Type
- journal article
- Language
- en
- Open access
- gold
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