Loss of ADAR1 in tumours overcomes resistance to immune checkpoint blockade
Open accessAbstract
Most patients with cancer either do not respond to immune checkpoint blockade or develop resistance to it, often because of acquired mutations that impair antigen presentation. Here we show that loss of function of the RNA-editing enzyme ADAR1 in tumour cells profoundly sensitizes tumours to immunotherapy and overcomes resistance to checkpoint blockade. In the absence of ADAR1, A-to-I editing of interferon-inducible RNA species is reduced, leading to double-stranded RNA ligand sensing by PKR and MDA5; this results in growth inhibition and tumour inflammation, respectively. Loss of ADAR1 overcomes resistance to PD-1 checkpoint blockade caused by inactivation of antigen presentation by tumour cells. Thus, effective anti-tumour immunity is constrained by inhibitory checkpoints such as ADAR1 that limit the sensing of innate ligands. The induction of sufficient inflammation in tumours that are sensitized to interferon can bypass the therapeutic requirement for CD8+ T cell recognition of cancer cells and may provide a general strategy to overcome immunotherapy resistance.
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Pooled in vivo and in vitro CRISPR-Cas9 based screening have nominated several tumour intrinsic drivers of resistance to immunotherapy, but therapeutic applications of these findings remain limited.
“Pooled in vivo and in vitro CRISPR-Cas9 based screening have nominated several tumour intrinsic drivers of resistance to immunotherapy 4,8-11 , but therapeutic applications of these findings remain limited.”
From Targeting TBK1 to overcome resistance to cancer immunotherapy (2023) · cites this paper as [8]
The Abstract (page unavailable) says a pooled in vivo CRISPR screen identified several tumour-cell genes that could affect immunotherapy response, including Adar1. Our copy does not describe a pooled in vitro screen that nominated resistance drivers; the in vitro work described in Methods consists of validation experiments. The statement about limited therapeutic applications follows the citation and is not assessed as attributed to this source. (LLM, conf=0.84)
Experimental — accuracy not yet measuredTumour-specific loss of TBK1 did not result in dramatic remodeling of the immune compartment, in contrast to other recently characterized immune evasion genes.
“In contrast to other recently characterized immune evasion genes 4,8,45 , tumour-specific loss of TBK1 did not result in dramatic remodeling of the immune compartment.”
From Targeting TBK1 to overcome resistance to cancer immunotherapy (2023) · cites this paper as [8]
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Cites
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
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709 · see citing works
The Molecular Signatures Database Hallmark Gene Set Collection
Liberzon, A., Birger, C., Thorvaldsdóttir, H., Ghandi, M., Mesirov, J. P., & Tamayo, P. (2015) · Cell Systems · doi:10.1016/j.cels.2015.12.004 · Cited by 13,807 · see citing works
Robust enumeration of cell subsets from tissue expression profiles
Newman, A. M., Liu, C. L., Green, M. R., Gentles, A. J., Feng, W., Xu, Y., Hoang, C. D., Diehn, M., & Alizadeh, A. A. (2015) · Nature Methods · doi:10.1038/nmeth.3337 · Cited by 12,116 · see citing works
Inferring tumour purity and stromal and immune cell admixture from expression data
Yoshihara, K., Shahmoradgoli, M., Martínez, E., Vegesna, R., Kim, H., Torres-Garcia, W., Treviño, V., Shen, H., Laird, P. W., Levine, D. A., et al. (2013) · Nature Communications · doi:10.1038/ncomms3612 · Cited by 9,778 · see citing works
Spatial reconstruction of single-cell gene expression data
Satija, R., Farrell, J. A., Gennert, D., Schier, A. F., & Regev, A. (2015) · Nature Biotechnology · doi:10.1038/nbt.3192 · Cited by 7,055 · see citing works
PD-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 · see citing works
Quality control and preprocessing of metagenomic datasets
Schmieder, R., & Edwards, R. A. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr026 · Cited by 4,989 · see citing works
ChIPseeker: an R/Bioconductor package for ChIP peak annotation, comparison and visualization
Yu, G., Wang, L.-G., & He, Q. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv145 · Cited by 4,399 · 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
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 · see citing works
Deng, L., Liang, H., Xu, M., Yang, X., Burnette, B., Arina, A., Li, X.-D., Mauceri, H., Beckett, M., Darga, T., et al. (2014) · Immunity · doi:10.1016/j.immuni.2014.10.019 · Cited by 2,182 · see citing works
Chiappinelli, K. B., Strissel, P. L., Desrichard, A., Li, H., Henke, C., Akman, B., Hein, A., Rote, N. S., Cope, L. M., Snyder, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.07.011 · Cited by 2,022 · see citing works
Oncolytic virotherapy promotes intratumoral T cell infiltration and improves anti-PD-1 immunotherapy
Ribas, A., Dummer, R., Puzanov, I., VanderWalde, A., Andtbacka, R. H. I., Michielin, O., Olszanski, A. J., Malvehy, J., Cebon, J., Fernandez, E., et al. (2017) · Cell · doi:10.1016/j.cell.2017.08.027 · Cited by 1,520 · see citing works
CDK4/6 inhibition triggers anti-tumour immunity
Goel, S., DeCristo, M. J., Watt, A. C., BrinJones, H., Sceneay, J., Li, B. B., Khan, N., Ubellacker, J. M., Xie, S., Metzger-Filho, O., et al. (2017) · Nature · doi:10.1038/nature23465 · Cited by 1,513 · see citing works
Loss of IFN-γ pathway genes in tumor cells as a mechanism of resistance to anti-CTLA-4 therapy
Gao, J., Shi, L. Z., Zhao, H., Chen, J., Xiong, L., He, Q., Chen, T., Roszik, J., Bernatchez, C., Woodman, S. E., et al. (2016) · Cell · doi:10.1016/j.cell.2016.08.069 · Cited by 1,300 · 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
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
Self-citationA smart local moving algorithm for large-scale modularity-based community detection
Waltman, L., & van Eck, N. J. (2013) · The European Physical Journal B · doi:10.1140/epjb/e2013-40829-0 · Cited by 1,088 · 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
Juneja, V. R., McGuire, K. A., Manguso, R. T., LaFleur, M. W., Collins, N. B., Haining, W. N., Freeman, G. J., & Sharpe, A. H. (2017) · The Journal of Experimental Medicine · doi:10.1084/jem.20160801 · Cited by 848 · see citing works
Self-citationThe RNA-Editing Enzyme ADAR1 Controls Innate Immune Responses to RNA
Mannion, N., Greenwood, S. M., Young, R., Cox, S. L., Brindle, J., Read, D. F., Nellåker, C., Vesely, C., Ponting, C. P., McLaughlin, P. J., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.10.041 · Cited by 644 · see citing works
Bazak, L., Haviv, A., Barak, M., Jacob‐Hirsch, J., Deng, P., Zhang, R., Isaacs, F. J., Rechavi, G., Li, J. B., Eisenberg, E., et al. (2013) · Genome Research · doi:10.1101/gr.164749.113 · Cited by 604 · see citing works
Self-citationPatterson, J. B., & Samuel, C. E. (1995) · Molecular and Cellular Biology · doi:10.1128/mcb.15.10.5376 · Cited by 578 · see citing works
Human ADAR1 Prevents Endogenous RNA from Triggering Translational Shutdown
Chung, H., Calis, J. J. A., Wu, X., Sun, T., Yu, Y., Sarbanes, S. L., Dao Thi, V. L., Shilvock, A. R., Hoffmann, H.-H., Rosenberg, B. R., et al. (2018) · Cell · doi:10.1016/j.cell.2017.12.038 · Cited by 538 · see citing works
Breaching Self-Tolerance to Alu Duplex RNA Underlies MDA5-Mediated Inflammation
Ahmad, S., Mu, X., Yang, F., Greenwald, E., Park, J. W., Jacob, E., Zhang, C.-Z., & Hur, S. (2018) · Cell · doi:10.1016/j.cell.2017.12.016 · Cited by 449 · see citing works
Li, H., Chiappinelli, K. B., Guzzetta, A. A., Easwaran, H., Yen, R.-W. C., Vatapalli, R. J., Topper, M. J., Luo, J., Connolly, R. M., Azad, N. S., et al. (2014) · Oncotarget · doi:10.18632/oncotarget.1782 · Cited by 428 · see citing works
George, C. X., & Samuel, C. E. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.8.4621 · Cited by 343 · see citing works
Elevated RNA Editing Activity Is a Major Contributor to Transcriptomic Diversity in Tumors
Paz-Yaacov, N., Bazak, L., Buchumenski, I., Porath, H. T., Danan-Gotthold, M., Knisbacher, B. A., Eisenberg, E., & Levanon, E. Y. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.08.080 · Cited by 343 · see citing works
Self-citationNLRC5/MHC class I transactivator is a target for immune evasion in cancer
Yoshihama, S., Roszik, J., Downs, I., Meissner, T. B., Vijayan, S., Chapuy, B., Sidiq, T., Shipp, M. A., Lizee, G. A., & Kobayashi, K. S. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1602069113 · Cited by 276 · see citing works
Lim, J. Y. H., Gerber, S. A., Murphy, S. P., & Lord, E. M. (2013) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-013-1506-7 · Cited by 257 · see citing works
A genome-wide map of hyper-edited RNA reveals numerous new sites
Porath, H. T., Carmi, S., & Levanon, E. Y. (2014) · Nature Communications · doi:10.1038/ncomms5726 · Cited by 243 · see citing works
Self-citationCho, J., Lee, H.-J., Ko, H., Yoon, B.-I., Choe, J., Kim, K., Hahn, T., Han, J. A., Choi, S. S., Jung, Y. M., et al. (2017) · Oncotarget · doi:10.18632/oncotarget.15326 · Cited by 97 · see citing works
Wenzel, J., Uerlich, M., Haller, O., Bieber, T. R. M., & Tueting, T. (2005) · Journal of Cutaneous Pathology · doi:10.1111/j.0303-6987.2005.00297.x · Cited by 76 · see citing works
ADAR1 , inosine and the immune sensing system: distinguishing self from non‐self
Liddicoat, B., Chalk, A. M., & Walkley, C. R. (2015) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1322 · Cited by 58 · see citing works
FastProject: a tool for low-dimensional analysis of single-cell RNA-Seq data
DeTomaso, D., & Yosef, N. (2016) · BMC Bioinformatics · doi:10.1186/s12859-016-1176-5 · Cited by 58 · see citing works
Sainathan, S. K., Bishnupuri, K. S., Aden, K., et al. (2011) · Inflammatory Bowel Diseases · doi:10.1002/ibd.21867 · Cited by 55 · see citing works
A multipurpose quality assurance phantom for the small animal radiation research platform (SARRP)
Ngwa, W. F., Tsiamas, P., Zygmanski, P., et al. (2012) · Physics in Medicine and Biology · doi:10.1088/0031-9155/57/9/2575 · Cited by 18 · see citing works
The RIG-I Agonist 3pRNA Synergizes with Checkpoint Blockade in Cancer Immunotherapy
Heidegger, S. M., Kreppel, D., Bscheider, M., et al. (2015) · Blood · doi:10.1182/blood.v126.23.3436.3436 · Cited by 3 · see citing works
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Demaria, O., Cornen, S., Daëron, M., Morel, Y., Medzhitov, R., & Vivier, E. (2019) · Nature · doi:10.1038/s41586-019-1593-5 · Cited by 957 · see citing works
Ruiz de Galarreta, M., Bresnahan, E., Molina-Sánchez, P., Lindblad, K. E., Maier, B., Sia, D., Puigvehi, M., Miguela, V., Casanova-Acebes, M., Dhainaut, M., et al. (2019) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-0074 · Cited by 912 · see citing works
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Lawson, K. A., Sousa, C. M., Zhang, X., Kim, E., Akthar, R., Caumanns, J. J., Yao, Y., Mikolajewicz, N., Ross, C., Brown, K. R., et al. (2020) · Nature · doi:10.1038/s41586-020-2746-2 · Cited by 443 · see citing works
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Zhang, S.-M., Cai, W. L., Liu, X., Thakral, D., Luo, J., Chan, L. H., McGeary, M. K., Song, E., Blenman, K. R. M., Micevic, G., et al. (2021) · Nature · doi:10.1038/s41586-021-03994-2 · Cited by 272 · see citing works
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Dubrot, J., Du, P. P., Lane-Reticker, S. K., Kessler, E. A., Muscato, A. J., Mehta, A., Freeman, S. S., Allen, P. M., Olander, K. E., Ockerman, K. M., et al. (2022) · Nature Immunology · doi:10.1038/s41590-022-01315-x · Cited by 218 · see citing works
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- Authors
- Ishizuka, J. J., Manguso, R. T., Cheruiyot, C. K., Bi, K., Panda, A., Iracheta-Vellve, A., Miller, B. C., Du, P. P., Yates, K. B., Dubrot, J., Buchumenski, I., Comstock, D. E., Brown, F. D., Ayer, A., Kohnle, I. C., Pope, H. W., Zimmer, M. D., Sen, D. R., Lane-Reticker, S. K., Robitschek, E. J., Griffin, G. K., Collins, N. B., Long, A. H., Doench, J. G., Kozono, D., Levanon, E. Y., & Haining, W. N.
- Affiliations
- Broad Institute (US)
- Bar-Ilan University (IL)
- Dana-Farber Cancer Institute (US)
- Corresponding author
- Haining, W. Nicholas
- ORCID
- Ishizuka, Jeffrey J.
- Manguso, Robert T.
- Cheruiyot, Collins K.
- Bi, Kevin
- Miller, Brian C.
- Du, Peter P.
- Yates, Kathleen B.
- Dubrot, Juan
- Buchumenski, Ilana
- Comstock, Dawn E.
- Ayer, Austin
- Zimmer, Margaret D.
- Sen, Debattama R.
- Lane-Reticker, Sarah K.
- Robitschek, Emily J.
- Griffin, Gabriel K.
- Collins, Natalie B.
- Long, Adrienne H.
- Doench, John G.
- Kozono, David
- Levanon, Erez Y.
- Haining, W. Nicholas
- Venue
- Nature
- Published
- 2018-12-17
- Volume
- 565
- Issue
- 7737
- Pages
- 43-48
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC7241251
- OpenAlex
- W2904139947
- Cited by
- 697
- References
- 39
- Citations by year
- 2026: 78 · 2025: 97 · 2024: 76 · 2023: 118 · 2022: 85 · 2021: 105 · 2020: 84 · 2019: 51 · 2013: 1
- FWCI
- 23.17
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Human Genome Research Institute (T32HG002295)
- National Cancer Institute (T32CA009172)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Keywords
- ADAR1, A-to-I RNA editing, immune checkpoint inhibitor resistance, anti-PD-1 therapy, PKR, MDA5, double-stranded RNA sensing, tumor inflammation, antigen presentation, tumor immunosuppression, cancer immunotherapy
- MeSH terms
- Interferon-Induced Helicase, IFIH1, Adenosine Deaminase, Animals, Female, Immunotherapy, Inflammation, Interferons, Melanoma, Experimental, Mice, Inbred C57BL, Phenotype, RNA, Double-Stranded, Histocompatibility Antigens Class I, RNA-Binding Proteins, RNA Editing, Drug Resistance, Neoplasm, Receptors, G-Protein-Coupled, Cell Line, Tumor, Mice, Cell Cycle Checkpoints, Programmed Cell Death 1 Receptor, CRISPR-Cas Systems
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