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Molecular and cellular insights into T cell exhaustion
Open accessAbstract
In chronic infections and cancer, T cells are exposed to persistent antigen and/or inflammatory signals. This scenario is often associated with the deterioration of T cell function: a state called 'exhaustion'. Exhausted T cells lose robust effector functions, express multiple inhibitory receptors and are defined by an altered transcriptional programme. T cell exhaustion is often associated with inefficient control of persisting infections and tumours, but revitalization of exhausted T cells can reinvigorate immunity. Here, we review recent advances that provide a clearer molecular understanding of T cell exhaustion and reveal new therapeutic targets for persisting infections and cancer.
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“Other situations of chronic antigen stimulation, such as cancer or chronic viral infections, result in T cell exhaustion, characterized by the progressive loss of cytokine expression, proliferative potential, and upregulation of inhibitory receptors (immune checkpoints).”
From Autoantigen-specific CD4+ T cells acquire an exhausted phenotype and persist in human antigen-specific autoimmune diseases (2024) · cites this paper as [32]
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“Exhaustion can be partially reversed by immune checkpoint inhibitors, providing the basis for successful therapies against cancer. 32,33”
From Autoantigen-specific CD4+ T cells acquire an exhausted phenotype and persist in human antigen-specific autoimmune diseases (2024) · cites this paper as [32]
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“In TME, prolonged antigen exposure leads to T cell exhaustion, marked by losing effector functions.”
From Contrasting cytotoxic and regulatory T cell responses underlying distinct clinical outcomes to anti-PD-1 plus lenvatinib therapy in cancer (2025) · cites this paper as [24]
In the citing paper
“cells with an exhaustion signature (denoted exhausted, fig. S3B) overexpressing the Lag3, Tbc1d4, Sostdc1, and Tnfsf8 genes (22, 31)”
From Aging promotes reorganization of the CD4 T cell landscape toward extreme regulatory and effector phenotypes (2019) · cites this paper as [31]
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Citations
Cites
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,989
Adverse Renal Effects of Immune Checkpoint Inhibitors: A Narrative Review
Wanchoo, R., Karam, S., Uppal, N. N., Barta, V. S., Deray, G., Devoe, C., Launay‐Vacher, V., Jhaveri, K. D., & on behalf of Cancer and Kidney International Network Workgroup on Immune Checkpoint Inhibitors (2017) · American Journal of Nephrology · doi:10.1159/000455014 · Cited by 15,320
The blockade of immune checkpoints in cancer immunotherapy
Pardoll, D. M. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3239 · Cited by 13,838
Nivolumab plus Ipilimumab in Advanced Melanoma
Wolchok, J. D., Kluger, H., Callahan, M. K., Postow, M. A., Rizvi, N. A., Lesokhin, A. M., Segal, N. H., Ariyan, C. E., Gordon, R.-A., Reed, K., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1302369 · Cited by 4,230
Wherry, E. J. (2011) · Nature Immunology · doi:10.1038/ni.2035 · Cited by 4,062
Self-citationRestoring function in exhausted CD8 T cells during chronic viral infection
Barber, D. L., Wherry, E. J., Masopust, D., Zhu, B., Allison, J. P., Sharpe, A. H., Freeman, G. J., & Ahmed, R. (2005) · Nature · doi:10.1038/nature04444 · Cited by 4,057
Self-citationRegulation of type I interferon responses
Ivashkiv, L. B., & Donlin, L. T. (2013) · Nature reviews. Immunology · doi:10.1038/nri3581 · Cited by 3,442
PD-1 expression on HIV-specific T cells is associated with T-cell exhaustion and disease progression
Day, C. L., Kaufmann, D. E., Kiepiela, P., Brown, J. A., Moodley, E. S., Reddy, S., Mackey, E. W., Miller, J. D., Leslie, A. J., DePierres, C., et al. (2006) · Nature · doi:10.1038/nature05115 · Cited by 2,680
Self-citationControl of Viremia in Simian Immunodeficiency Virus Infection by CD8 + Lymphocytes
Schmitz, J. E., Kuroda, M. J., Santra, S., Sasseville, V. G., Simon, M. A., Lifton, M. A., Rácz, P., Tenner‐Racz, K., Dalesandro, M. R., Scallon, B. J., et al. (1999) · Science · doi:10.1126/science.283.5403.857 · Cited by 2,167
Molecular Signature of CD8+ T Cell Exhaustion during Chronic Viral Infection
Wherry, E. J., Ha, S.-J., Kaech, S. M., Haining, W. N., Sarkar, S., Kalia, V., Subramaniam, S., Blattman, J. N., Barber, D. L., & Ahmed, R. (2007) · Immunity · doi:10.1016/j.immuni.2007.09.006 · Cited by 2,103
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Xia, X., Yang, Z., Lu, Q., Liu, Z., Wang, L., Du, J., Li, Y., Yang, D., & Wu, S. (2024) · Molecular Cancer · doi:10.1186/s12943-024-02079-8 · Cited by 112
Immuno-oncology combinations: raising the tail of the survival curve
Harris, S. J., Harris, S. J., Brown, J. S., Lopez, J. S., Yap, T. A., Brown, J. S., Lopez, J. S., & Yap, T. A. (2016) · Cancer Biology and Medicine · doi:10.20892/j.issn.2095-3941.2016.0015 · Cited by 110
Solinas, C., Garaud, S., Silva, P. D., Boisson, A., den Eynden, G. V., de Wind, A., RISSO, P., Vitória, J. R., Richard, F., Migliori, E., et al. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01412 · Cited by 106
T‐cell Immunoglobulin and ITIM Domain Contributes to CD 8+ T‐cell Immunosenescence
Song, Y., Wang, B., Song, R., Yu, H., Wang, D., Li, Y., Jiang, Y. Y., Xu, L., Ma, Y., Zheng, H., et al. (2018) · Aging Cell · doi:10.1111/acel.12716 · Cited by 109
Austin, J. W., Buckner, C. M., Kardava, L., Wang, W., Zhang, X., Melson, V. A., Swanson, R. G., Martins, A. J., Zhou, J. Q., Hoehn, K. B., et al. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aax0904 · Cited by 103
Yap suppresses T-cell function and infiltration in the tumor microenvironment
Stampouloglou, E., Cheng, N., Federico, A. N., Slaby, E. M., Monti, S., Szeto, G. L., & Varelas, X. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000591 · Cited by 108
Huang, T., Feng, Q., Wang, Z., Li, W., Sun, Z., Wilhelm, J., Huang, G., Vo, T., Sumer, B. D., & Gao, J. (2020) · Advanced Healthcare Materials · doi:10.1002/adhm.202000549 · Cited by 111
Neuregulin 4 suppresses NASH-HCC development by restraining tumor-prone liver microenvironment
Zhang, P., Chen, Z., Kuang, H., Liu, T., Zhu, J., Zhou, L., Wang, Q., Xiong, X., Meng, Z., Qiu, X., et al. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.07.010 · Cited by 105
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Fisher, J. P. H., Abramowski, P., Don, N. D. W., Flutter, B. R., Capsomidis, A., Cheung, G. W.-K., Gustafsson, K. T., & Anderson, J. (2017) · Molecular Therapy · doi:10.1016/j.ymthe.2017.03.002 · Cited by 106
CD8+ T-cell exhaustion in cancer: mechanisms and new area for cancer immunotherapy
He, Q., Xu, Y., Li, J., Huang, Z., Li, X., & Wang, X. (2018) · Briefings in Functional Genomics · doi:10.1093/bfgp/ely006 · Cited by 104
TCR Redirected T Cells for Cancer Treatment: Achievements, Hurdles, and Goals
Manfredi, F., Cianciotti, B. C., Potenza, A., Tassi, E., Noviello, M., Biondi, A., Ciceri, F., Bonini, C., & Ruggiero, E. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.01689 · Cited by 108
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Zhang, Z., Baxter, A. E., Ren, D., Qin, K., Chen, Z., Collins, S. M., Huang, H., Komar, C. A., Bailer, P. F., Parker, J. B., et al. (2023) · Nature Biotechnology · doi:10.1038/s41587-023-01756-1 · Cited by 113
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Müller, M., Huber, F., Arnaud, M., Kraemer, A. I., Altimiras, E. R., Michaux, J., Taillandier-Coindard, M., Chiffelle, J., Murgues, B., Gehret, T., et al. (2023) · Immunity · doi:10.1016/j.immuni.2023.09.002 · Cited by 114
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Mu, W., Patankar, V., Kitchen, S. G., & Zhen, A. (2024) · Viruses · doi:10.3390/v16020219 · Cited by 116
Maternal and fetal T cells in term pregnancy and preterm labor
Miller, D., Gershater, M., Slutsky, R., Romero, R. J., & Gomez‐Lopez, N. (2020) · Cellular and Molecular Immunology · doi:10.1038/s41423-020-0471-2 · Cited by 107
Wang, S., Zhang, Q., Hui, H., Agrawal, K., Karris, M., & Rana, T. M. (2020) · Emerging Microbes & Infections · doi:10.1080/22221751.2020.1826361 · Cited by 103
Travers, M., Brown, S. M., Dunworth, M., Holbert, C. E., Wiehagen, K. R., Bachman, K. E., Foley, J. R., Stone, M. L., Baylin, S. B., Casero, R. A., et al. (2019) · Cancer Research · doi:10.1158/0008-5472.can-18-4018 · Cited by 103
Broadley, I., Pera, A., Morrow, G., Davies, K. A., & Kern, F. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.00195 · Cited by 103
Soundararajan, R., Fradette, J., Konen, J., Moulder, S., Zhang, X., Gibbons, D., Varadarajan, N., Wistuba, I., Tripathy, D., Bernatchez, C., et al. (2019) · Cancers · doi:10.3390/cancers11050714 · Cited by 103
Immune checkpoints and rheumatic diseases: what can cancer immunotherapy teach us?
van der Vlist, M., Kuball, J. H. E., Radstake, T. R. D. J., & Meyaard, L. (2016) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2016.131 · Cited by 102
Synthetic RORγ agonists regulate multiple pathways to enhance antitumor immunity
Hu, X., Liu, X., Moisan, J., Wang, Y., Lesch, C. A., Spooner, C. J., Morgan, R. W., Zawidzka, E. M., Mertz, D. R., Bousley, D., et al. (2016) · OncoImmunology · doi:10.1080/2162402x.2016.1254854 · Cited by 107
Yeong, J. P.-S., Lim, J. C. T., Lee, B. T. K., Li, H., Ong, C. C. H., Thike, A. A., Yeap, W. H., Yang, Y. L., Lim, A. Y. H., Tay, T. K. Y., et al. (2019) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-019-0499-y · Cited by 104
Truong, K.-L., Schlickeiser, S., Vogt, K., Boës, D., Stanko, K., Appelt, C., Streitz, M., Grütz, G., Stobutzki, N., Meisel, C., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-10018-1 · Cited by 103
Lupus-associated atypical memory B cells are mTORC1-hyperactivated and functionally dysregulated
Wu, C., Fu, Q., Guo, Q., Chen, S., Goswami, S., Sun, S., Li, T., Cao, X., Chu, F., Chen, Z., et al. (2019) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2019-215039 · Cited by 104
Lebossé, F., Gudd, C. L. C., Tunc, E., Singanayagam, A., Nathwani, R., Triantafyllou, E., Pop, O. T., Kumar, N., Mukherjee, S. K., Hou, T. Z., et al. (2019) · EBioMedicine · doi:10.1016/j.ebiom.2019.10.011 · Cited by 103
Improving the ability of CAR-T cells to hit solid tumors: Challenges and strategies
Zhang, Z., Wang, T., Wang, X.-F., Zhang, Y., Song, S., & Ma, C. (2021) · Pharmacological Research · doi:10.1016/j.phrs.2021.106036 · Cited by 104
Okoye, I., Houghton, M., Tyrrell, D. L., Barakat, K., & Elahi, S. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01215 · Cited by 105
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Muroyama, Y., & Wherry, E. J. (2021) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a037929 · Cited by 104
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Mehdi, A., & Rabbani, S. A. (2021) · Cancers · doi:10.3390/cancers13030545 · Cited by 102
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Cohen, S. B., Gern, B. H., & Urdahl, K. B. (2022) · Annual Review of Immunology · doi:10.1146/annurev-immunol-093019-125148 · Cited by 105
Zhang, L., Zhang, W., Li, Z., Lin, S., Zheng, T., Hao, B., Hou, Y., Zhang, Y., Wang, K., Qin, C., et al. (2022) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-022-02439-6 · Cited by 113
Sridharan, V., Gjini, E., Liao, X., Chau, N. G., Haddad, R. I., Severgnini, M., Hammerman, P. S., El‐Naggar, A. K., Freeman, G. J., Hodi, F. S., et al. (2016) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-16-0031 · Cited by 100
Mollanoori, H., Shahraki, H., Rahmati, Y., & Teimourian, S. (2018) · Human Immunology · doi:10.1016/j.humimm.2018.09.007 · Cited by 101
Co-stimulatory and co-inhibitory pathways in cancer immunotherapy
O’Neill, R., & Cao, X. (2019) · Advances in cancer research · doi:10.1016/bs.acr.2019.03.003 · Cited by 105
Altered differentiation is central to HIV-specific CD4+ T cell dysfunction in progressive disease
Morou, A., Brunet‐Ratnasingham, E., Dubé, M., Charlebois, R., Mercier, E., Darko, S. W., Brassard, N., Nganou‐Makamdop, K., Arumugam, S. A., Gendron‐Lepage, G., et al. (2019) · Nature Immunology · doi:10.1038/s41590-019-0418-x · Cited by 99
CD8+ T-Cell Response to HIV Infection in the Era of Antiretroviral Therapy
Perdomo-Celis, F., Taborda, N. A., & Rugeles, M. T. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01896 · Cited by 103
Wei, J., Luo, C., Wang, Y., Guo, Y., Dai, H., Tong, C., Ti, D., Wu, Z., & Han, W. (2019) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-019-0685-y · Cited by 107
Ma, R., Yi, B., Riker, A. I., & Xi, Y. (2020) · Acta Pharmacologica Sinica · doi:10.1038/s41401-020-00508-0 · Cited by 104
Double-negative (DN) B cells: an under-recognized effector memory B cell subset in autoimmunity
Li, Y.-Z., Li, Z., & Hu, F. (2021) · Clinical & Experimental Immunology · doi:10.1111/cei.13615 · Cited by 106
Rewiring mitochondrial metabolism to counteract exhaustion of CAR-T cells
Huang, Y., Si, X., Shao, M., Teng, X., Xiao, G., & Huang, H. (2022) · Journal of Hematology & Oncology · doi:10.1186/s13045-022-01255-x · Cited by 110
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Yang, S., Qian, L., Li, Z., Li, Y., Bai, J., Zheng, B. J., Chen, K., Qiu, X., Cai, G., Wang, S., et al. (2022) · Gastroenterology · doi:10.1053/j.gastro.2022.11.029 · Cited by 106
Depuydt, M. A. C., Schaftenaar, F. H., Prange, K. H. M., Boltjes, A., Hemme, E., Delfos, L., de Mol, J., de Jong, M. J. M., Kleijn, M. N. A. B., Peeters, J. A. H. M., et al. (2023) · Nature Cardiovascular Research · doi:10.1038/s44161-022-00208-4 · Cited by 105
Sabit, H., Adel, A., Abdelfattah, M. M., Ramadan, R. M., Nazih, M., Abdel-Ghany, S. E., El-Hashash, A. H. K., & Arneth, B. (2025) · Cancer Letters · doi:10.1016/j.canlet.2025.217865 · Cited by 110
Guo, X., Nie, H., Zhang, W., Li, J., Ge, J., Xie, B., Hu, W., Zhu, Y., Zhong, N., Zhang, X., et al. (2025) · Cancer Cell · doi:10.1016/j.ccell.2025.01.001 · Cited by 100
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Pan, Y., & Kupper, T. S. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.01347 · Cited by 104
Inhibitory checkpoint receptors control CD8+ resident memory T cells to prevent skin allergy
Gamradt, P., Laoubi, L., Nosbaum, A., Mutez, V., Lenief, V., Grande, S., Redoules, D., Schmitt, A.-M., Nicolas, J., & Vocanson, M. (2019) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2018.11.048 · Cited by 104
Angelis, C. D., Fu, X., Cataldo, M. L., Nardone, A., Pereira, R., Veeraraghavan, J., Nanda, S., Qin, L., Sethunath, V., Wang, T., et al. (2021) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-19-4191 · Cited by 105
Novel strategies for cancer immunotherapy: counter-immunoediting therapy
Liu, S., Sun, Q., & Ren, X. (2023) · Journal of Hematology & Oncology · doi:10.1186/s13045-023-01430-8 · Cited by 107
Edwards, E. S. J., Bier, J., Cole, T. S., Wong, M., Hsu, P. S., Berglund, L. J., Boztuǧ, K., Lau, A., Emma Gostick, D., Price, D. A., et al. (2018) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2018.04.030 · Cited by 98
Laheurte, C., Dosset, M., Vernerey, D., Boullerot, L., Gaugler, B., Gravelin, E., Kaulek, V., Jacquin, M., Cuche, L., Eberst, G., et al. (2019) · British Journal of Cancer · doi:10.1038/s41416-019-0531-5 · Cited by 109
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Pollari, M., Brück, O. E., Pellinen, T. S., Vähämurto, P., Karjalainen‐Lindsberg, M., Mannisto, S., Kallioniemi, O., Kellokumpu‐Lehtinen, P., Mustjoki, S. M., Leivonen, S., et al. (2018) · Haematologica · doi:10.3324/haematol.2018.197194 · Cited by 100
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Abildgaard, J., Tingstedt, J. L., Zhao, Y., Hartling, H. J., Pedersen, A. T., Lindegaard, B., & Nielsen, S. D. (2020) · PLoS ONE · doi:10.1371/journal.pone.0235174 · Cited by 98
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Perrier, A., Didelot, A., Laurent‐Puig, P., Blons, H., & Garinet, S. (2020) · Biomolecules · doi:10.3390/biom10071061 · Cited by 100
De novo prediction of cancer-associated T cell receptors for noninvasive cancer detection
Beshnova, D., Ye, J., Onabolu, O., Moon, B., Zheng, W., Fu, Y., Brugarolas, J., Lea, J. S., & Li, B. (2020) · Science Translational Medicine · doi:10.1126/scitranslmed.aaz3738 · Cited by 101
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Ozga, A. J., Chow, M. T., Lopes, M. E., Servis, R. L., Pilato, M. D., Dehio, P., Lian, J., Mempel, T. R., & Luster, A. D. (2021) · Immunity · doi:10.1016/j.immuni.2021.11.002 · Cited by 96
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Wu, V. H., Yung, B. S., Faraji, F., Saddawi‐Konefka, R., Wang, Z., Wenzel, A. T., Song, M., Pagadala, M. S., Clubb, L. M., Chiou, J., et al. (2023) · Nature Immunology · doi:10.1038/s41590-023-01529-7 · Cited by 101
Cellular and molecular mechanisms of CD8(+) T cell differentiation, dysfunction and exhaustion
Verdon, D. J., Mulazzani, M., & Jenkins, M. R. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21197357 · Cited by 98
Josefsson, S. E., Huse, K., Kolstad, A., Beiske, K., Pende, D., Steen, C. B., Inderberg, E. M., Lingjærde, O. C., Østenstad, B., Smeland, E. B., et al. (2017) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-17-2337 · Cited by 98
Long-Term Persistence of Exhausted CD8 T Cells in Chronic Infection Is Regulated by MicroRNA-155
Stelekati, E., Chen, Z., Manne, S., Kurachi, M., Ali, M.-A., Lewy, K., Cai, Z., Nzingha, K., McLane, L. M., Hope, J. L., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.04.038 · Cited by 98
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Yau, H. L., Ettayebi, I., & Carvalho, D. D. D. (2018) · Trends in Cell Biology · doi:10.1016/j.tcb.2018.07.006 · Cited by 99
Tumor Resident Memory T Cells: New Players in Immune Surveillance and Therapy
Dumauthioz, N., Labiano, S., & Romero, P. J. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.02076 · Cited by 102
Russell, S., Lamprecht, D. A., Mandizvo, T., Jones, T., Naidoo, V., Addicott, K. W., Moodley, C., Ngcobo, B., Crossman, D. K., Wells, G., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.11.034 · Cited by 103
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O’Connell, P., Hyslop, S., Blake, M. K., Godbehere, S., Amalfitano, A., & Aldhamen, Y. A. (2020) · The Journal of Immunology · doi:10.4049/jimmunol.2000300 · Cited by 97
Li, R., Salehi‐Rad, R., Crosson, W. P., Momcilovic, M., Lim, R. J., Ong, S. L., Huang, Z. L., Zhang, T.-H., Abascal, J. W., Dumitras, C., et al. (2021) · Cancer Research · doi:10.1158/0008-5472.can-20-3564 · Cited by 98
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Wang, Y., & Gao, L. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.800950 · Cited by 110
Sengupta, S., Das, S., Crespo, Â. C., Cornel, A. M., Patel, A. G., Mahadevan, N. R., Campisi, M., Ali, A. K., Sharma, B., Rowe, J. H., et al. (2022) · Nature Cancer · doi:10.1038/s43018-022-00427-5 · Cited by 101
Snell, L. M., Osokine, I., Yamada, D. H., la Fuente, J. R. O. D., Elsaesser, H. J., & Brooks, D. G. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.08.065 · Cited by 96
Pao, W. J., Ooi, C.-H., Birzele, F., Ruefli-Brasse, A. A., Cannarile, M. A., Reis, B., Scharf, S. H., Schubert, D. A., Hatje, K., Pelletier, N., et al. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-1320 · Cited by 96
The T cell differentiation landscape is shaped by tumour mutations in lung cancer
Ghorani, E., Reading, J. L., Henry, J. Y., de Massy, M. R., Rosenthal, R., Turati, V. A., Joshi, K., Furness, A. J. S., Aïssa, A. B., Saini, S. K., et al. (2020) · Nature Cancer · doi:10.1038/s43018-020-0066-y · Cited by 95
CD8 + T cell exhaustion in anti‐tumour immunity: The new insights for cancer immunotherapy
Huang, Y., Jia, A., Wang, Y., & Liu, G. (2022) · Immunology · doi:10.1111/imm.13588 · Cited by 96
Boosting Checkpoint Immunotherapy with Biomaterials
Liu, L., Pan, Y., Zhao, C., Huang, P., Chen, X. S., & Rao, L. (2023) · ACS Nano · doi:10.1021/acsnano.2c11691 · Cited by 97
Regulation of CD8+ T memory and exhaustion by the mTOR signals
Chen, Y., Xu, Z., Sun, H., Ouyang, X., Han, Y., Yu, H., Wu, N., Xie, Y., & Su, B. (2023) · Cellular and Molecular Immunology · doi:10.1038/s41423-023-01064-3 · Cited by 101
Agonistic CD40 mAb-Driven IL12 Reverses Resistance to Anti-PD1 in a T-cell–Rich Tumor
Ngiow, S. F., Young, A., Blake, S. J., Hill, G. R., Yagita∥, H., Teng, M. W. L., Korman, A. J., & Smyth, M. J. (2016) · Cancer Research · doi:10.1158/0008-5472.can-16-2141 · Cited by 93
Maini, M. K., & Pallett, L. J. (2018) · The Lancet. Gastroenterology & hepatology · doi:10.1016/s2468-1253(18)30007-4 · Cited by 98
Current Approaches for Glioma Gene Therapy and Virotherapy
Banerjee, K., Núñez, F. J., Haase, S., McClellan, B. L., Faisal, S. M., Carney, S. V., Yü, J., Alghamri, M. S., Asad, A. S., Candia, A. J. N., et al. (2021) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2021.621831 · Cited by 96
Dyck, L., Prendeville, H., Raverdeau, M., Wilk, M. M., Loftus, R. M., Douglas, A., McCormack, J., Moran, B., Wilkinson, M., Mills, E. L., et al. (2022) · The Journal of Experimental Medicine · doi:10.1084/jem.20210042 · Cited by 98
Regulation of programmed cell death by Brd4
Hu, J., Pan, D., Guo, L., Chen, K., & Hu, X. (2022) · Cell Death and Disease · doi:10.1038/s41419-022-05505-1 · Cited by 100
Clear Cell Renal Cell Carcinoma: From Biology to Treatment
Kase, A. M., George, D. J., & Ramalingam, S. (2023) · Cancers · doi:10.3390/cancers15030665 · Cited by 98
The 3 I’s of immunity and aging: immunosenescence, inflammaging, and immune resilience
Wrona, M. V., Ghosh, R. B., Coll, K., Chun, C., & Yousefzadeh, M. J. (2024) · Frontiers in Aging · doi:10.3389/fragi.2024.1490302 · Cited by 107
Impact of T cell characteristics on CAR-T cell therapy in hematological malignancies
Tao, Z., Chyra, Z., Kotulová, J., Celichowski, P., Mihályová, J., Charvátová, S., & Hájek, R. (2024) · Blood Cancer Journal · doi:10.1038/s41408-024-01193-6 · Cited by 101
Martinez, O. M., & Krams, S. M. (2017) · Transplantation · doi:10.1097/tp.0000000000001767 · Cited by 95
New Strategies in Bladder Cancer: A Second Coming for Immunotherapy
Ghasemzadeh, A., Bivalacqua, T. J., Hahn, N. M., & Drake, C. G. (2015) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-1135 · Cited by 93
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Zuber, J., & Sykes, M. (2017) · Trends in Immunology · doi:10.1016/j.it.2017.07.008 · Cited by 98
Anand, P., Guillaumet-Adkins, A., Dimitrova, V., Yun, H., Drier, Y., Sotudeh, N., Rogers, A. J., Ouseph, M. M., Nair, M. S., Potdar, S. V., et al. (2020) · Blood · doi:10.1182/blood.2019004547 · Cited by 97
Yu, L., Liu, X., Wang, X., Yan, F., Wang, P., Jiang, Y., Du, J., & Yang, Z. (2021) · OncoImmunology · doi:10.1080/2162402x.2021.1942673 · Cited by 94
Wu, J., Zhang, H., Shi, X., Xiao, X., Fan, Y., Minze, L. J., Wang, J., Ghobrial, R. M., Xia, J., Sciammas, R., et al. (2017) · Immunity · doi:10.1016/j.immuni.2017.11.003 · Cited by 93
Balkhi, M. Y., Wittmann, G., Xiong, F., & Junghans, R. P. (2018) · iScience · doi:10.1016/j.isci.2018.03.009 · Cited by 93
Determinants of response and resistance to CAR T cell therapy
Lesch, S., Benmebarek, M.-R., Cadilha, B. L., Stoiber, S., Subklewe, M. S., Endres, S., & Kobold, S. (2019) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2019.11.004 · Cited by 96
Dastmalchi, N., Feizi, M. A. H., Khojasteh, S. M. B., Baradaran, B., & Safaralizadeh, R. (2020) · Life Sciences · doi:10.1016/j.lfs.2020.118239 · Cited by 94
Engineering better chimeric antigen receptor T cells
Zhang, H., Zhao, P., & Huang, H. (2020) · Experimental Hematology & Oncology · doi:10.1186/s40164-020-00190-2 · Cited by 93
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Majc, B., Novak, M., Kopitar‐Jerala, N., Jewett, A., & Breznik, B. (2021) · Cells · doi:10.3390/cells10020265 · Cited by 98
Targeting Tim-3 in Cancer With Resistance to PD-1/PD-L1 Blockade
Tian, T., & Li, Z. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.731175 · Cited by 100
Fang, H., Guo, Z., Chen, J., Lin, L., Hu, Y., Li, Y., Tian, H., & Chen, X. (2021) · Nature Communications · doi:10.1038/s41467-021-27078-x · Cited by 92
Impact of constitutional TET2 haploinsufficiency on molecular and clinical phenotype in humans
Kaasinen, E., Kuismin, O., Rajamäki, K., Ristolainen, H., Aavikko, M., Kondelin, J., Saarinen, S., Berta, D. G., Katainen, R., Hirvonen, E. A. M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09198-7 · Cited by 92
Exosomes: Effectual players in rheumatoid arthritis
Tavasolian, F., Moghaddam, A. S., Rohani, F., Abdollahi, E., Janzamin, E., Momtazi‐Borojeni, A. A., Moallem, S. A., Jamialahmadi, T., & Sahebkar, A. (2020) · Autoimmunity Reviews · doi:10.1016/j.autrev.2020.102511 · Cited by 91
Metadata
- Authors
- Wherry, E. J., & Kurachi, M.
- Affiliations
- University of Pennsylvania (US)
- Corresponding author
- Wherry, E. John
- Kurachi, Makoto
- Venue
- Nature Reviews Immunology
- Published
- 2015-07-24
- Volume
- 15
- Issue
- 8
- Pages
- 486-499
- ISSN
- 1474-1733 (ISSN-L)
- 1474-1741
- PMC
- PMC4889009
- OpenAlex
- W1910012553
- Cited by
- 4,652
- References
- 156
- Citations by year
- 2026: 563 · 2025: 494 · 2024: 518 · 2023: 508 · 2022: 517 · 2021: 551 · 2020: 441 · 2019: 381 · 2018: 306 · 2017: 227 · 2016: 129 · 2015: 12
- FWCI
- 21.14
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature reviews. Immunology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Public Health Service (HHSN266200500030C)
- National Institute of Allergy and Infectious Diseases (HHSN266200500030C, AI 082630, R01AI105343, AI095608, AI105343, AI112521, P01AI112521, U01AI095608, U19AI082630)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › Immune Cell Function and Interaction
- Keywords
- T cell exhaustion, chronic viral infection, cancer immunotherapy, inhibitory receptors, persistent antigen, inflammatory signals, transcriptional programs, therapeutic target
- MeSH terms
- Bacterial Infections, Gene Expression Regulation, Humans, Immunologic Memory, Lymphocyte Activation, Neoplasms, T-Lymphocytes, Cytotoxic, Transcription, Genetic, Virus Diseases, Signal Transduction, Cytokines, Clonal Anergy, CD57 Antigens, T-Lymphocytes, Regulatory
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