Overcoming Genetically Based Resistance Mechanisms to PD-1 Blockade
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Abstract
Mechanism-based strategies to overcome resistance to PD-1 blockade therapy are urgently needed. We developed genetic acquired resistant models of JAK1, JAK2, and B2M loss-of-function mutations by gene knockout in human and murine cell lines. Human melanoma cell lines with JAK1/2 knockout became insensitive to IFN-induced antitumor effects, while B2M knockout was no longer recognized by antigen-specific T cells and hence was resistant to cytotoxicity. All of these mutations led to resistance to anti–PD-1 therapy in vivo. JAK1/2-knockout resistance could be overcome with the activation of innate and adaptive immunity by intratumoral Toll-like receptor 9 agonist administration together with anti–PD-1, mediated by natural killer (NK) and CD8 T cells. B2M-knockout resistance could be overcome by NK-cell and CD4 T-cell activation using the CD122 preferential IL2 agonist bempegaldesleukin. Therefore, mechanistically designed combination therapies can overcome genetic resistance to PD-1 blockade therapy. Significance: The activation of IFN signaling through pattern recognition receptors and the stimulation of NK cells overcome genetic mechanisms of resistance to PD-1 blockade therapy mediated through deficient IFN receptor and antigen presentation pathways. These approaches are being tested in the clinic to improve the antitumor activity of PD-1 blockade therapy. This article is highlighted in the In This Issue feature, p. 1079
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JAK1/2-inactivating mutations reduce PD-L1 and MHC I expression in mouse and human CRC.
“JAK1/2-inactivating mutations reduce programmed death ligand 1 (PD-L1) and MHC I expression in mouse and human CRC [33,210].”
From Drug Resistance in Colorectal Cancer: From Mechanism to Clinic (2022) · cites this paper as [33]
Inactivation mutations of JAK1 and JAK2 block the IFN-γ signaling pathway, leading to downregulation of tumor PD-L1 expression, so anti-PD-L1 therapy would be unnecessary in this case.
“This implies that the inactivation mutations of JAK1 and JAK2 block the IFN-γ signaling pathway, leading to downregulation of tumor PD-L1 expression, so it would be unnecessary to attempt anti-PD-L1 therapy in this case.”
From Drug Resistance in Colorectal Cancer: From Mechanism to Clinic (2022) · cites this paper as [33]
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Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625 · see citing works
KEGG: Kyoto Encyclopedia of Genes and Genomes
Kanehisa, M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.27 · Cited by 37,077 · see citing works
Wickham, H. (2016) · Use R! · doi:10.1007/978-3-319-24277-4 · Cited by 33,612 · see citing works
KEGG: Kyoto Encyclopedia of Genes and Genomes
Ogata, H., Goto, S., Sato, K., Fujibuchi, W., Bono, H., & Kanehisa, M. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.1.29 · Cited by 31,232 · see citing works
HISAT: a fast spliced aligner with low memory requirements
Kim, D., Langmead, B., & Salzberg, S. L. (2015) · Nature Methods · doi:10.1038/nmeth.3317 · Cited by 24,112 · see citing works
HTSeq—a Python framework to work with high-throughput sequencing data
Anders, S., Pyl, P. T., & Huber, W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btu638 · Cited by 21,464 · see citing works
Genome engineering using the CRISPR-Cas9 system
Ran, F. A., Hsu, P. D., Wright, J., Agarwala, V., Scott, D. A., & Zhang, F. (2013) · Nature Protocols · doi:10.1038/nprot.2013.143 · Cited by 11,133 · see citing works
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 · see citing works
Self-citationCancer immunoediting: from immunosurveillance to tumor escape
Dunn, G. P., Bruce, A. T., Ikeda, H., Old, L. J., & Schreiber, R. D. (2002) · Nature Immunology · doi:10.1038/ni1102-991 · Cited by 5,393 · see citing works
Mutations Associated with Acquired Resistance to PD-1 Blockade in Melanoma
Zaretsky, J. M., Garcia-Diaz, A., Shin, D. S., Escuin-Ordinas, H., Hugo, W., Hu-Lieskovan, S., Torrejon, D. Y., Abril-Rodriguez, G., Sandoval, S., Barthly, L., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1604958 · Cited by 3,237 · see citing works
Self-citationThe Reactome Pathway Knowledgebase
Fabregat, A., Jupe, S., Matthews, L. R., Sidiropoulos, K., Gillespie, M. E., Garapati, P. V., Haw, R., Jassal, B., Korninger, F., May, B., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1132 · Cited by 2,798 · see citing works
Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab
Riaz, N., Havel, J. J., Makarov, V., Desrichard, A., Urba, W. J., Sims, J. S., Hodi, F. S., Martín-Algarra, S., Mandal, R., Sharfman, W. H., et al. (2017) · Cell · doi:10.1016/j.cell.2017.09.028 · Cited by 2,401 · see citing works
Easy quantitative assessment of genome editing by sequence trace decomposition
Brinkman, E. K., Chen, T., Amendola, M., & van Steensel, B. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku936 · Cited by 2,390 · see citing works
Selective rejection of H–2-deficient lymphoma variants suggests alternative immune defence strategy
Kärre, K., Ljunggren, H., Piontek, G., & Kiessling, R. (1986) · Nature · doi:10.1038/319675a0 · Cited by 2,333 · see citing works
The Nature of the Principal Type 1 Interferon-Producing Cells in Human Blood
Siegal, F. P., Kadowaki, N., Shodell, M., Fitzgerald-Bocarsly, P. A., Shah, K., Ho, S., Antonenko, S., & Liu, Y.-J. (1999) · Science · doi:10.1126/science.284.5421.1835 · Cited by 2,293 · see citing works
Miller, B. C., Sen, D. R., Al Abosy, R., Bi, K., Virkud, Y. V., LaFleur, M. W., Yates, K. B., Lako, A., Felt, K., Naik, G. S., et al. (2019) · Nature Immunology · doi:10.1038/s41590-019-0312-6 · Cited by 2,087 · see citing works
Demonstration of an interferon γ-dependent tumor surveillance system in immunocompetent mice
Kaplan, D. H., Shankaran, V., Dighe, A. S., Stockert, E., Aguet, M., Old, L. J., & Schreiber, R. D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.13.7556 · Cited by 1,465 · see citing works
Johnson, L. A., Morgan, R. A., Dudley, M. E., Cassard, L., Yang, J. C.-H., Hughes, M. S., Kammula, U. S., Royal, R. E., Sherry, R. M., Wunderlich, J. R., et al. (2009) · Blood · doi:10.1182/blood-2009-03-211714 · Cited by 1,421 · see citing works
Self-citationMechanisms of resistance to immune checkpoint inhibitors
Jenkins, R. W., Barbie, D. A., & Flaherty, K. T. (2018) · British Journal of Cancer · doi:10.1038/bjc.2017.434 · Cited by 1,383 · see citing works
Rizvi, H., Sanchez-Vega, F., La, K., Chatila, W., Jonsson, P., Halpenny, D., Plodkowski, A., Long, N., Sauter, J. L., Rekhtman, N., et al. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2017.75.3384 · Cited by 1,367 · see citing works
Primary Resistance to PD-1 Blockade Mediated by <i>JAK1/2</i> Mutations
Shin, D. S., Zaretsky, J. M., Escuin-Ordinas, H., Garcia-Diaz, A., Hu-Lieskovan, S., Kalbasi, A., Grasso, C. S., Hugo, W., Sandoval, S., Torrejon, D. Y., et al. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-1223 · Cited by 1,337 · see citing works
Self-citationThommen, D. S., & Schumacher, T. N. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.03.012 · Cited by 1,304 · see citing works
Distinct cellular mechanisms underlie anti-CTLA-4 and anti-PD-1 checkpoint blockade
Wei, S. C., Levine, J. H., Cogdill, A. P., Zhao, Y., Anang, N.-A. A. S., Andrews, M. C., Sharma, P., Wang, J., Wargo, J. A., Pe’er, D., et al. (2017) · Cell · doi:10.1016/j.cell.2017.07.024 · Cited by 1,302 · see citing works
Allele-Specific HLA Loss and Immune Escape in Lung Cancer Evolution
McGranahan, N., Rosenthal, R., Hiley, C. T., Rowan, A. J., Watkins, T. B. K., Wilson, G. A., Birkbak, N. J., Veeriah, S., Van Loo, P., Herrero, J., et al. (2017) · Cell · doi:10.1016/j.cell.2017.10.001 · Cited by 1,298 · see citing works
Genomic correlates of response to immune checkpoint therapies in clear cell renal cell carcinoma
Miao, D., Margolis, C. A., Gao, W., Voss, M. H., Li, W., Martini, D. J., Norton, C., Bossé, D., Wankowicz, S. M., Cullen, D., et al. (2018) · Science · doi:10.1126/science.aan5951 · Cited by 1,249 · see citing works
The Reactome pathway Knowledgebase
Fabregat, A., Sidiropoulos, K., Garapati, P., Gillespie, M., Hausmann, K., Haw, R., Jassal, B., Jupe, S., Korninger, F., McKay, S., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1351 · Cited by 1,201 · see citing works
In vivo CRISPR screening identifies Ptpn2 as a cancer immunotherapy target
Manguso, R. T., Pope, H. W., Zimmer, M. D., Brown, F. D., Yates, K. B., Miller, B. C., Collins, N. B., Bi, K., LaFleur, M. W., Juneja, V. R., et al. (2017) · Nature · doi:10.1038/nature23270 · Cited by 1,147 · see citing works
Hellmann, M. D., Nathanson, T., Rizvi, H., Creelan, B. C., Sanchez-Vega, F., Ahuja, A., Ni, A., Novik, J. B., Mangarin, L. M. B., Abu-Akeel, M., et al. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.03.018 · Cited by 1,095 · see citing works
Liu, D., Schilling, B., Liu, D., Sucker, A., Livingstone, E., Jerby-Arnon, L., Zimmer, L., Gutzmer, R., Satzger, I., Loquai, C., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0654-5 · Cited by 1,039 · see citing works
Resistance to checkpoint blockade therapy through inactivation of antigen presentation
Sade-Feldman, M., Jiao, Y. J., Chen, J. H., Rooney, M. S., Barzily-Rokni, M., Eliane, J.-P., Bjorgaard, S. L., Hammond, M. R., Vitzthum, H., Blackmon, S. M., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01062-w · Cited by 1,005 · see citing works
Antitumour actions of interferons: implications for cancer therapy
Parker, B. S., Rautela, J., & Hertzog, P. J. (2016) · Nature reviews. Cancer · doi:10.1038/nrc.2016.14 · Cited by 897 · see citing works
Neoadjuvant versus adjuvant ipilimumab plus nivolumab in macroscopic stage III melanoma
Blank, C. U., Rozeman, E. A., Fanchi, L. F., Sikorska, K., van de Wiel, B., Kvistborg, P., Krijgsman, O., van den Braber, M., Philips, D., Broeks, A., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0198-0 · Cited by 880 · see citing works
Identification of essential genes for cancer immunotherapy
Patel, S. J., Sanjana, N. E., Kishton, R. J., Eidizadeh, A., Vodnala, S. K., Cam, M., Gartner, J. J., Jia, L., Steinberg, S. M., Yamamoto, T. N., et al. (2017) · Nature · doi:10.1038/nature23477 · Cited by 870 · see citing works
A major chromatin regulator determines resistance of tumor cells to T cell–mediated killing
Pan, D., Kobayashi, A., Jiang, P., Ferrari de Andrade, L., Tay, R. E., Luoma, A. M., Tsoucas, D., Qiu, X., Lim, K., Rao, P., et al. (2018) · Science · doi:10.1126/science.aao1710 · Cited by 852 · see citing works
Gettinger, S., Choi, J., Hastings, K., Truini, A., Datar, I., Sowell, R., Wurtz, A., Dong, W., Cai, G., Melnick, M. A., et al. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-0593 · Cited by 787 · see citing works
A single dose of neoadjuvant PD-1 blockade predicts clinical outcomes in resectable melanoma
Huang, A. C. C., Orlowski, R. J., Xu, X., Mick, R., George, S. M., Yan, P., Manne, S., Kraya, A., Wubbenhorst, B. S., Dorfman, L. M., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0357-y · Cited by 680 · see citing works
Rodig, S. J., Gusenleitner, D., Jackson, D. G., Gjini, E., Giobbie-Hurder, A., Jin, C., Chang, H., Lovitch, S. B., Horak, C., Weber, J. S., et al. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aar3342 · Cited by 579 · see citing works
Combination Cancer Therapy with Immune Checkpoint Blockade: Mechanisms and Strategies
Patel, S. A., & Minn, A. J. (2018) · Immunity · doi:10.1016/j.immuni.2018.03.007 · Cited by 574 · see citing works
Benci, J. L., Johnson, L. R., Choa, R., Xu, Y., Qiu, J., Zhou, Z., Xu, B., Ye, D., Nathanson, K. L., June, C. H., et al. (2019) · Cell · doi:10.1016/j.cell.2019.07.019 · Cited by 541 · see citing works
Genetic Mechanisms of Immune Evasion in Colorectal Cancer
Grasso, C. S., Giannakis, M., Wells, D. K., Hamada, T., Mu, X. J., Quist, M., Nowak, J. A., Nishihara, R., Qian, Z. R., Inamura, K., et al. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-1327 · Cited by 535 · see citing works
Self-citationPrimary and Acquired Resistance to Immune Checkpoint Inhibitors in Metastatic Melanoma
Gide, T. N., Wilmott, J. S., Scolyer, R. A., & Long, G. V. (2017) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-17-2267 · Cited by 458 · see citing works
Engineering Natural Killer Cells for Cancer Immunotherapy
Rezvani, K., Rouce, R. H., Liu, E., & Shpall, E. J. (2017) · Molecular Therapy · doi:10.1016/j.ymthe.2017.06.012 · Cited by 454 · see citing works
Rejection of class I MHC-deficient haemopoietic cells by irradiated MHC-matched mice
Bix, M., Liao, N., Zijlstra, M., Loring, J. M., Jaenisch, R., & Raulet, D. H. (1991) · Nature · doi:10.1038/349329a0 · Cited by 431 · see citing works
Rational Selection of Syngeneic Preclinical Tumor Models for Immunotherapeutic Drug Discovery
Mosely, S. I. S., Prime, J. E., Sainson, R. C. A., Koopmann, J., Wang, D. Y. Q., Greenawalt, D. M., Ahdesmaki, M. J., Leyland, R., Mullins, S., Pacelli, L., et al. (2016) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-16-0114 · Cited by 410 · see citing works
Charych, D. H., Hoch, U., Langowski, J. L., Lee, S. R., Addepalli, M. K., Kirk, P. B., Sheng, D., Liu, X., Sims, P. W., VanderVeen, L. A., et al. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-1631 · Cited by 399 · see citing works
Tumor immune evasion arises through loss of TNF sensitivity
Kearney, C. J., Vervoort, S. J., Hogg, S. J., Ramsbottom, K. M., Freeman, A. J., Lalaoui, N., Pijpers, L., Michie, J., Brown, K. K., Knight, D. A., et al. (2018) · Science Immunology · doi:10.1126/sciimmunol.aar3451 · Cited by 381 · see citing works
Cytofkit: A Bioconductor Package for an Integrated Mass Cytometry Data Analysis Pipeline
Chen, H., Lau, M. C., Wong, M. T., Newell, E. W., Poidinger, M., & Chen, J. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005112 · Cited by 343 · see citing works
Ribas, A., Medina, T. M., Kummar, S., Amin, A., Kalbasi, A. K., Drabick, J. J., Barve, M. A., Daniels, G. A., Wong, D. J. L., Schmidt, E. V., et al. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-18-0280 · Cited by 338 · see citing works
Self-citationAcquired cancer resistance to combination immunotherapy from transcriptional loss of class I HLA
Paulson, K. G., Voillet, V., McAfee, M. S., Hunter, D. S., Wagener, F. D., Perdicchio, M., Valente, W. J., Koelle, S., Church, C. D., Vandeven, N. A., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-06300-3 · Cited by 282 · see citing works
Doran, S. L., Stevanović, S., Adhikary, S., Gartner, J. J., Jia, L., Kwong, M. L. M., Faquin, W. C., Hewitt, S. M., Sherry, R. M., Yang, J. C.-H., et al. (2019) · Journal of Clinical Oncology · doi:10.1200/jco.18.02424 · Cited by 275 · see citing works
Chodon, T., Comı́n-Anduix, B., Chmielowski, B., Koya, R. C., Wu, Z., Auerbach, M., Ng, C., Avramis, E. V., Seja, E., Villanueva, A., et al. (2014) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-13-3017 · Cited by 259 · see citing works
Self-citationAugmenting Immunotherapy Impact by Lowering Tumor TNF Cytotoxicity Threshold
Vredevoogd, D. W., Kuilman, T., Ligtenberg, M. A., Boshuizen, J., Stecker, K. E., de Bruijn, B., Krijgsman, O., Huang, X., Kenski, J. C. N., Lacroix, R., et al. (2019) · Cell · doi:10.1016/j.cell.2019.06.014 · Cited by 259 · see citing works
Sucker, A., Zhao, F., Pieper, N., Heeke, C., Maltaner, R., Stadtler, N., Real, B., Bielefeld, N., Howe, S., Weide, B., et al. (2017) · Nature Communications · doi:10.1038/ncomms15440 · Cited by 252 · see citing works
Wang, S., Campos, J. S., Gallotta, M., Gong, M., Crain, C., Naik, E., Coffman, R. L., & Guiducci, C. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1608555113 · Cited by 231 · see citing works
Cytokine therapy reverses NK cell anergy in MHC-deficient tumors
Ardolino, M., Azimi, C. S., Iannello, A., Trevino, T. N., Horan, L. H., Zhang, L., Deng, W., Ring, A. M., Fischer, S., García, K. C., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci74337 · Cited by 194 · see citing works
Sharma, M., Khong, H., Fa’ak, F., Bentebibel, S.-E., Janssen, L. M. E., Chesson, B. C., Creasy, C. A., Forget, M., Kahn, L. M., Pazdrak, B., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-14471-1 · Cited by 174 · see citing works
IFN Unresponsiveness in LNCaP Cells Due to the Lack of JAK1 Gene Expression
Dunn, G. P., Sheehan, K. C. F., Old, L. J., & Schreiber, R. D. (2005) · Cancer Research · doi:10.1158/0008-5472.can-04-4316 · Cited by 170 · see citing works
Charych, D. H., Khalili, S., Dixit, V., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0179431 · Cited by 151 · see citing works
Immune escape of cancer cells with beta2‐microglobulin loss over the course of metastatic melanoma
Campo, A. B., Kyte, J. A., Carretero, J., Zinchencko, S., Méndez, R., González‐Aseguinolaza, G., Ruiz‐Cabello, F., Aamdal, S., Gaudernack, G., Garrido, F., et al. (2013) · International Journal of Cancer · doi:10.1002/ijc.28338 · Cited by 147 · see citing works
Moreno, B. H., Zaretsky, J. M., García-Díaz, Á., Tsoi, J., Parisi, G., Robert, L., Meeth, K. M., Ndoye, A., Bosenberg, M., Weeraratna, A. T., et al. (2016) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-16-0060 · Cited by 146 · see citing works
Self-citationWilliams, J. B., Li, S., Higgs, E. F., Cabanov, A., Wang, X., Huang, H., & Gajewski, T. F. (2020) · Nature Communications · doi:10.1038/s41467-020-14290-4 · Cited by 126 · see citing works
Albacker, L. A., Wu, J., Smith, P. G., Warmuth, M., Stephens, P. J., Zhu, P., Yu, L., & Chmielecki, J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0176181 · Cited by 125 · see citing works
Pauken, K. E., & Wherry, E. J. (2015) · Cell · doi:10.1016/j.cell.2015.10.054 · Cited by 114 · see citing works
Persistence of adoptively transferred T cells with a kinetically engineered IL-2 receptor agonist
Parisi, G., Saco, J. D., Salazar, F. B., Tsoi, J., Krystofinski, P. E., Puig-Saus, C., Zhang, R., Zhou, J., Cheung-Lau, G. C., Garcia, A. J., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-12901-3 · Cited by 94 · see citing works
Self-citationMelanoma response to anti-PD-L1 immunotherapy requires JAK1 signaling, but not JAK2
Luo, N., Formisano, L., Ericsson, P. I. G., Sanchez, V. M., Dean, P. T., Opalenik, S. R., Sanders, M. E., Cook, R. S., Arteaga, C. L., Johnson, D. B., et al. (2018) · OncoImmunology · doi:10.1080/2162402x.2018.1438106 · Cited by 92 · see citing works
Fish, E. N., & Platanias, L. C. (2014) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-14-0450 · Cited by 87 · see citing works
Superior Activity of the Type C Class of ISS In Vitro and In Vivo Across Multiple Species
Marshall, J. D., Fearon, K. L., Higgins, D., Hessel, E. M., Kanzler, H., Abbate, C., Yee, P., Gregorio, J. D., Cruz, T. D., Lizcano, J. O., et al. (2005) · DNA and Cell Biology · doi:10.1089/dna.2005.24.63 · Cited by 68 · see citing works
Ren, Y., Zhang, Y., Liu, R. Z., et al. (2013) · Scientific Reports · doi:10.1038/srep03042 · Cited by 63 · see citing works
MetaCyto: A Tool for Automated Meta-analysis of Mass and Flow Cytometry Data
Hu, Z., Jujjavarapu, C., Hughey, J., Andorf, S., Lee, H.-C., Gherardini, P. F., Spitzer, M. H., Thomas, C. G., Campbell, J. P., Dunn, P. J., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.07.003 · Cited by 54 · see citing works
Stelloo, E., Versluis, M., Nijman, H. W., de Bruyn, M., Plat, A., Osse, E. M., van Dijk, R. H., Nout, R. A., Creutzberg, C. L., de Bock, G. H., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.9414 · Cited by 43 · see citing works
Escuin-Ordinas, H., Atefi, M. S., Fu, Y., Cass, A. A., Ng, C., Huang, R., Yashar, S., Comin-Anduix, B., Avramis, E. V., Cochran, A. J., et al. (2013) · Molecular Oncology · doi:10.1016/j.molonc.2013.11.005 · Cited by 41 · see citing works
Self-citationDiab, A. K., Rahimian, S., Haymaker, C., et al. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2018.36.15_suppl.9515 · Cited by 23 · see citing works
Hurwitz, M. E., Cho, D. C., Balar, A. V., et al. (2019) · Journal of Clinical Oncology · doi:10.1200/jco.2019.37.15_suppl.2623 · Cited by 22 · see citing works
Márquez‐Rodas, I., Longo, F., Rodriguez-Ruiz, M. E., et al. (2018) · Annals of Oncology · doi:10.1093/annonc/mdy424.049 · Cited by 13 · see citing works
Milhem, M. M., Zarour, H. M., Gabrail, N. Y., et al. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2016.34.15_suppl.tps9593 · Cited by 3 · see citing works
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Aldea, M., Andre, F., Marabelle, A., Dogan, S., Barlesi, F., & Soria, J.-C. (2021) · Cancer Discovery · doi:10.1158/2159-8290.cd-20-1638 · Cited by 311 · see citing works
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Wang, Q., Shen, X., Chen, G., & Du, J. (2022) · Cancers · doi:10.3390/cancers14122928 · Cited by 160 · see citing works
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Orsini, A., Diquigiovanni, C., & Bonora, E. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241612690 · Cited by 52 · see citing works
- Authors
- Torrejon, D. Y., Abril-Rodriguez, G., Champhekar, A. S., Tsoi, J., Campbell, K. M., Kalbasi, A., Parisi, G., Zaretsky, J. M., Garcia-Diaz, A., Puig-Saus, C., Cheung-Lau, G., Wohlwender, T., Krystofinski, P., Vega-Crespo, A., Lee, C. M., Mascaro, P., Grasso, C. S., Berent-Maoz, B., Comin-Anduix, B., Hu-Lieskovan, S., & Ribas, A.
- Affiliations
- University of California, Los Angeles (US)
- 1Division of Hematology-Oncology, Department of Medicine, University of California, Los Angeles, Los Angeles, California.
- 4Division of Surgical Oncology, Department of Surgery, University of California, Los Angeles, Los Angeles, California.
- Corresponding author
- Ribas, Antoni
- ORCID
- Venue
- Cancer Discovery
- Published
- 2020-08-01
- Volume
- 10
- Issue
- 8
- Pages
- 1140-1157
- ISSN
- 2159-8274 (ISSN-L)
- 2159-8290
- PMC
- PMC7416458
- OpenAlex
- W3030418407
- Cited by
- 146
- References
- 75
- Citations by year
- 2026: 18 · 2025: 16 · 2024: 26 · 2023: 31 · 2022: 26 · 2021: 25 · 2020: 4
- FWCI
- 7.77
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Cancer Discovery (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- NIH (R35 CA197633, P01 CA244118, #T32-CA009120, GM08042, P30 CA016042, 5P30 AI028697)
- UCLA (T32CA009120)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Keywords
- anti-PD-1 therapy, immune checkpoint inhibitor resistance, B2M knockout, interferon signaling, melanoma, Toll-like receptor 9 agonist, natural killer cells, CD8+ T cells, CD4+ T cells, interleukin-2, combination immunotherapy, gene knockout models
- MeSH terms
- Loss of Function Mutation, Animals, beta 2-Microglobulin, Humans, Interferons, Interleukin-2, Killer Cells, Natural, Mice, Inbred C57BL, Neoplasms, Polyethylene Glycols, CD4-Positive T-Lymphocytes, CD8-Positive T-Lymphocytes, Drug Resistance, Neoplasm, Cell Line, Tumor, Cell Proliferation, Toll-Like Receptor 9, Janus Kinase 1, Janus Kinase 2, Programmed Cell Death 1 Receptor
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