The DOI matches its Crossref record; 46 of the 47 references it cites were found in a registry or an index.
NR4A transcription factors limit CAR T cell function in solid tumours
Open accessAbstract
T cells expressing chimeric antigen receptors (CAR T cells) targeting human CD19 (hCD19) have shown clinical efficacy against B cell malignancies 1,2. CAR T cells have been less effective against solid tumours 3-5, in part because they enter a hyporesponsive ('exhausted' or 'dysfunctional') state 6-9 triggered by chronic antigen stimulation and characterized by upregulation of inhibitory receptors and loss of effector function. To investigate the function of CAR T cells in solid tumours, we transferred hCD19-reactive CAR T cells into hCD19+ tumour-bearing mice. CD8+CAR+ tumour-infiltrating lymphocytes and CD8+ endogenous tumour-infiltrating lymphocytes expressing the inhibitory receptors PD-1 and TIM3 exhibited similar profiles of gene expression and chromatin accessibility, associated with secondary activation of nuclear receptor transcription factors NR4A1 (also known as NUR77), NR4A2 (NURR1) and NR4A3 (NOR1) by the initiating transcription factor NFAT (nuclear factor of activated T cells)10-12. CD8+ T cells from humans with cancer or chronic viral infections 13-15 expressed high levels of NR4A transcription factors and displayed enrichment of NR4A-binding motifs in accessible chromatin regions. CAR T cells lacking all three NR4A transcription factors (Nr4a triple knockout) promoted tumour regression and prolonged the survival of tumour-bearing mice. Nr4a triple knockout CAR tumour-infiltrating lymphocytes displayed phenotypes and gene expression profiles characteristic of CD8+ effector T cells, and chromatin regions uniquely accessible in Nr4a triple knockout CAR tumour-infiltrating lymphocytes compared to wild type were enriched for binding motifs for NF-κB and AP-1, transcription factors involved in activation of T cells. We identify NR4A transcription factors as having an important role in the cell-intrinsic program of T cell hyporesponsiveness and point to NR4A inhibition as a promising strategy for cancer immunotherapy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Because Nr4a2 is highly related to Nr4a1 and has been found to promote T cell exhaustion (33-35),”
From Bile acid synthesis impedes tumor-specific T cell responses during liver cancer (2025) · cites this paper as [34]
The cited source says what the claim attributes to it.
In the citing paper
“T cell exhaustion also limits the efficacy of chimeric antigen receptor (CAR) T cell therapy against solid tumours14–17.”
From Proteotoxic stress response drives T cell exhaustion and immune evasion (2025) · cites this paper as [15]
In the citing paper
“NFAT-induced transcription factors, including NR4A and TOX, drive T cell exhaustion/dysfunction44–47.”
From Tumor-specific cholinergic CD4+ T lymphocytes guide immunosurveillance of hepatocellular carcinoma (2023) · cites this paper as [44]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
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
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
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Heinz, S., Benner, C., Spann, N., Bertolino, E., Lin, Y. C., Laslo, P., Cheng, J. X., Murre, C., Singh, H., & Glass, C. K. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.05.004 · Cited by 13,382
Combined Nivolumab and Ipilimumab or Monotherapy in Untreated Melanoma
Larkin, J., Chiarion-Sileni, V., Gonzalez, R., Grob, J. J., Cowey, C. L., Lao, C. D., Schadendorf, D., Dummer, R., Smylie, M., Rutkowski, P., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504030 · Cited by 8,157
Buenrostro, J. D., Giresi, P. G., Zaba, L. C., Chang, H. Y., & Greenleaf, W. J. (2013) · Nature Methods · doi:10.1038/nmeth.2688 · Cited by 6,422
Chimeric Antigen Receptor T Cells for Sustained Remissions in Leukemia
Maude, S. L., Frey, N., Shaw, P. A., Aplenc, R., Barrett, D. M., Bunin, N. J., Chew, A., Gonzalez, V. E., Zheng, Z., Lacey, S. F., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1407222 · Cited by 5,413
Cited by
Sorted by citations
Items 101–200 of 872
Berrien-Elliott, M. M., Foltz, J. A., Russler‐Germain, D. A., Neal, C. C., Tran, J., Gang, M., Wong, P., Fisk, B. A., Cubitt, C. C., Marín, N. D., et al. (2022) · Science Translational Medicine · doi:10.1126/scitranslmed.abm1375 · Cited by 134
Born to survive: how cancer cells resist CAR T cell therapy
Lemoine, J., Ruella, M., & Houot, R. (2021) · Journal of Hematology & Oncology · doi:10.1186/s13045-021-01209-9 · Cited by 126
“CAR T cells Lack of expansion Lack of persistence Defective effector function (exhaustion) [7, 8, 94] [7, 8, 94] [95, 96]”
BackgroundSTAT3 regulates CD8+ T cell differentiation and functions in cancer and acute infection
Sun, Q., Zhao, X., Li, R., Liu, D., Pan, B., Xie, B., Chi, X., Cai, D., Wei, P., Xu, W., et al. (2023) · The Journal of Experimental Medicine · doi:10.1084/jem.20220686 · Cited by 129
“…and cancer, persistent T cell receptor stimulation sustains the activation of NFAT and induces high-level expression of TOX and Nr4a1, which limit T cell function and promote T cell exhaustion (Chen et al., 2019; Khan et al., 2019; Liu et al., 2019; Martinez et al., 2015; Scott et al., 2019).”
Potentiating adoptive cell therapy using synthetic IL-9 receptors
Kalbasi, A. K., Siurala, M., Su, L., Tariveranmoshabad, M., Picton, L. K., Ravikumar, P., Li, P., Lin, J., Escuin-Ordinas, H., Da, T., et al. (2022) · Nature · doi:10.1038/s41586-022-04801-2 · Cited by 121
Kluesner, M. G., Lahr, W. S., Lonetree, C.-L., Smeester, B. A., Qiu, X., Slipek, N. J., Claudio Vázquez, P. N., Pitzen, S. P., Pomeroy, E. J., Vignes, M. J., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22009-2 · Cited by 121
Heterogeneity and fate choice: T cell exhaustion in cancer and chronic infections
Philip, M., & Schietinger, A. (2019) · Current Opinion in Immunology · doi:10.1016/j.coi.2019.04.014 · Cited by 128
A unified atlas of CD8 T cell dysfunctional states in cancer and infection
Pritykin, Y., van der Veeken, J., Pine, A. R., Zhong, Y., Şahin, M., Mažutis, L., Pe’er, D., Rudensky, A. Y., & Leslie, C. S. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.03.045 · Cited by 117
IL-12 nanochaperone-engineered CAR T cell for robust tumor-immunotherapy
Luo, Y., Chen, Z., Sun, M., Li, B., Pan, F., Ma, A.-Q., Liao, J., Yin, T., Tang, X., Huang, G., et al. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2021.121341 · Cited by 121
Epigenome editing technologies for discovery and medicine
McCutcheon, S. R., Rohm, D., Iglesias, N., & Gersbach, C. A. (2024) · Nature Biotechnology · doi:10.1038/s41587-024-02320-1 · Cited by 130
Tieu, V., Sotillo, E., Bjelajac, J. R., Chen, C., Malipatlolla, M. B., Guerrero, J. A., Xu, P., Quinn, P. J., Fisher, C., Klysz, D. D., et al. (2024) · Cell · doi:10.1016/j.cell.2024.01.035 · Cited by 122
Transcriptional regulatory network for the establishment of CD8+ T cell exhaustion
Seo, W., Jerin, C., & Nishikawa, H. (2021) · Experimental & Molecular Medicine · doi:10.1038/s12276-021-00568-0 · Cited by 125
Improving CAR T-Cell Persistence
Pietrobon, V., Todd, L. A., Goswami, A., Stefanson, O., Yang, Z., & Marincola, F. M. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms221910828 · Cited by 124
“Chen et al. (2019) showed that NR4A transcription factors play a crucial role in the cell-intrinsic program of hypo-responsiveness [169].”
BackgroundCAR-T cells and BiTEs in solid tumors: challenges and perspectives
Edeline, J., Houot, R., Marabelle, A., & Alcantara, M. (2021) · Journal of Hematology & Oncology · doi:10.1186/s13045-021-01067-5 · Cited by 115
“While modification of TET2 might be too risky, modifications of other parameters related to exhaustion, such as NR4a or Jun might augment CAR-T activity [78, 79].”
BackgroundImmune Regulatory Processes of the Tumor Microenvironment under Malignant Conditions
Pansy, K., Uhl, B., Krstić, J., Szmyra, M., Fechter, K., Santiso, A., Thüminger, L., Greinix, H., Kargl, J., Prochazka, K. T., et al. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222413311 · Cited by 113
Tantalo, D. G. M., Oliver, A. J., von Scheidt, B., Harrison, A. J., Mueller, S. N., Kershaw, M. H., & Slaney, C. Y. (2021) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2021-002555 · Cited by 112
CAR-T Cell Therapy: Mechanism, Management, and Mitigation of Inflammatory Toxicities
Fischer, J. W., & Bhattarai, N. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.693016 · Cited by 113
“One of such modifications is deletion of the NR4A transcription factors to reduce CAR-T cell exhaustion and improve efficacy (18).”
BackgroundNutrient-driven histone code determines exhausted CD8 + T cell fates
Ma, S., Dahabieh, M. S., Mann, T. H., Zhao, S., McDonald, B., Song, W., Chung, H., Farsakoglu, Y., Garcia-Rivera, L., Hoffmann, F. A., et al. (2024) · Science · doi:10.1126/science.adj3020 · Cited by 118
Role of the Orphan Nuclear Receptor NR4A Family in T-Cell Biology
Odagiu, L., May, J., Boulet, S., Baldwin, T. A., & Labrecque, N. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.624122 · Cited by 110
“Similarly, the analysis of human melanoma TILs scRNA-Seq data highlighted a correlation of Nr4a1, Nr4a2, and Nr4a3 transcription with inhibitory receptor expression (Pdcd1 and Havcr2) (67).”
BackgroundResultInfluentialLSD1 inhibition sustains T cell invigoration with a durable response to PD-1 blockade
Liu, Y., Debo, B. M., Li, M., Shi, Z., Sheng, W., & Shi, Y. (2021) · Nature Communications · doi:10.1038/s41467-021-27179-7 · Cited by 109
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
Jafarzadeh, L., Masoumi, E., Fallah-Mehrjardi, K., Mirzaei, H. R., & Hadjati, J. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00702 · Cited by 98
“By conducting single cell transcriptomic analysis and chromatin accessibility, these researchers found that transcription factors NR4A1, NR4A2, and NR4A3 are overexpressed and play pivotal roles in driving CD8+ T cell exhaustion in both murine CAR-modified T cells and endogenous lymphocytes as well as their human coun…”
BackgroundMoreno‐Nieves, U. Y., Tay, J. K., Saumyaa, S., Horowitz, N. B., Shin, J. H., Mohammad, I., Luca, B. A., Mundy, D. C., Gulati, G. S., Bedi, N., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2101169118 · Cited by 102
Control of Lymphocyte Fate, Infection, and Tumor Immunity by TCF-1
Raghu, D., Xue, H., & Mielke, L. A. (2019) · Trends in Immunology · doi:10.1016/j.it.2019.10.006 · Cited by 98
Deletion of SNX9 alleviates CD8 T cell exhaustion for effective cellular cancer immunotherapy
Trefny, M. P., Kirchhammer, N., der Maur, P. A., Natoli, M., Schmid, D., Germann, M., Fernandez-Rodriguez, L., Herzig, P., Lötscher, J., Akrami, M., et al. (2023) · Nature Communications · doi:10.1038/s41467-022-35583-w · Cited by 98
Chung, H. K., McDonald, B., & Kaech, S. M. (2021) · The Journal of Experimental Medicine · doi:10.1084/jem.20201730 · Cited by 105
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
“The Tox-NR4A axis has been identified as a potential engineering target in adoptive cell therapies, as both Tox1/2 double knockout [104] and NR4A1-3 triple knockout CAR-T [112] cells exhibited enhanced effector function, cytokine production and tumour clearance in B16-hCD19 tumours, alongside increased chromatin acces…”
BackgroundInfluentialCAR-T cells in solid tumors: Challenges and breakthroughs
Escobar, G., Berger, T. R., & Maus, M. V. (2025) · Cell Reports Medicine · doi:10.1016/j.xcrm.2025.102353 · Cited by 114
“…high mobility group box protein ( TOX ), and TOX2 70 ; transcriptional regulators, such as nuclear receptor sub-family 4 group A2 ( NR4A2 ), 71 inhibitor of DNA binding 3 ( ID3 ), 72 and SRY-box transcription factor 4 ( SOX4 ) 72 ; and inhibitory receptors, such as cytotoxic T…”
EpCAM-targeting CAR-T cell immunotherapy is safe and efficacious for epithelial tumors
Li, D., Guo, X., Yang, K., Yang, Y., Zhou, W., Huang, Y., Liang, X., Su, J., Jiang, L., Li, J., et al. (2023) · Science Advances · doi:10.1126/sciadv.adg9721 · Cited by 97
“NR4A1 has been identified as a key mediator of T cell hyporesponsiveness and limits CAR-T cell function in solid tumors ( 27 , 43 ).”
Mechanisms of CAR T cell exhaustion and current counteraction strategies
Zhu, X., Li, Q., & Zhu, X. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.1034257 · Cited by 106
Jennings, E., Elliot, T. A. E., Thawait, N., Kanabar, S., Yam-Puc, J. C., Ono, M., Toellner, K.-M., Wraith, D. C., Anderson, G., & Bending, D. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108328 · Cited by 94
TCF-1: a maverick in T cell development and function
Gounari, F., & Khazaie, K. (2022) · Nature Immunology · doi:10.1038/s41590-022-01194-2 · Cited by 95
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
“…of chronic infection or tumor growth, when CD4 + T-cell help is lost, continuous TCR signaling activates several downstream TFs, including TOX [10, 103, 104], NR4A [105, 106], NFAT [107, 108] and IRF4 [109], which in conjunction boost the differentiation of progenitor Tex cells into Tex cells.”
BackgroundIn vitro modeling of CD8 + T cell exhaustion enables CRISPR screening to reveal a role for BHLHE40
Wu, J. E., Manne, S., Ngiow, S. F., Baxter, A. E., Huang, H., Freilich, E., Clark, M. L., Lee, J. H., Chen, Z., Khan, O., et al. (2023) · Science Immunology · doi:10.1126/sciimmunol.ade3369 · Cited by 101
“This observation suggests persistent or preferential use of Nr4a2 activity in Tex differentiation, consistent with in vivo observations (48).”
BackgroundResultReprogramming the tumor microenvironment by genome editing for precision cancer therapy
Liu, K., Cui, J., Zhan, Y., Ouyang, Q., Lu, Q., Yang, D., Li, X., & Yin, J. (2022) · Molecular Cancer · doi:10.1186/s12943-022-01561-5 · Cited by 100
“CD8+ T cells from mice with TOX or NR4A knocked out were transplanted into tumor-bearing mice and showed reduced exhaustion [49, 180].”
BackgroundResveratrol: Mechanistic and therapeutic perspectives in pulmonary arterial hypertension
Mirhadi, E., Roufogalis, B. D., Banach, M., Barati, M., & Sahebkar, A. (2020) · Pharmacological Research · doi:10.1016/j.phrs.2020.105287 · Cited by 96
Precursors of exhausted T cells are pre-emptively formed in acute infection
Chu, T., Wu, M., Höllbacher, B., de Almeida, G. P., Wurmser, C., Berner, J., Donhauser, L. V., Gerullis, A.-K., Lin, S., Cepeda-Mayorga, J. D., et al. (2025) · Nature · doi:10.1038/s41586-024-08451-4 · Cited by 101
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
BCL6 promotes a stem-like CD8 + T cell program in cancer via antagonizing BLIMP1
Sun, Q., Cai, D., Liu, D., Zhao, X., Li, R., Xu, W. M., Xie, B., Gou, M., Wei, K., Li, Y., et al. (2023) · Science Immunology · doi:10.1126/sciimmunol.adh1306 · Cited by 94
“For example, nuclear receptor sub-family 4 group A member 1 (NR4A1) is highly expressed in T ex cells and dampens effector T cell function by inhibiting c-Jun function ( 7 – 10 ).”
BackgroundYe, Z., Ai, X., Yang, K., Yang, Z., Fei, F., Liao, X., Qiu, Z., Gimple, R. C., Yuan, H., Huang, H., et al. (2023) · Cancer Discovery · doi:10.1158/2159-8290.cd-22-0455 · Cited by 93
Reprogramming T cell differentiation and exhaustion in CAR-T cell therapy
Bulliard, Y., Andersson, B. S., Baysal, M. A., Damiano, J. S., & Tsimberidou, A. M. (2023) · Journal of Hematology & Oncology · doi:10.1186/s13045-023-01504-7 · Cited by 98
“In sequence with TOX, the NR4A family of TFs contributes to T cell exhaustion by orchestrating a genome-wide, exhaustion-linked alteration of the epigenetic and transcriptomic landscape in CD8 + TILs and CAR-T cells [112, 118].”
BackgroundChen, X., Wang, S., Chen, Y., Xin, H., Zhang, S., Wu, D., Xue, Y., Zha, M., Li, H., Li, K., et al. (2023) · Nature Nanotechnology · doi:10.1038/s41565-023-01378-3 · Cited by 90
Mai, D., Johnson, O., Reff, J., Fan, T., Scholler, J., Sheppard, N. C., & June, C. H. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2218632120 · Cited by 86
CAR density influences antitumoral efficacy of BCMA CAR T cells and correlates with clinical outcome
Rodriguez-Marquez, P., Calleja-Cervantes, M. E., Serrano, G., Oliver-Caldes, A., Palacios-Berraquero, M. L., Martin-Mallo, A., Calviño, C., Español-Rego, M., Ceballos, C., Lozano, T., et al. (2022) · Science Advances · doi:10.1126/sciadv.abo0514 · Cited by 109
“We observed that NR4A1 and MAF regulons, already described as drivers of T cell exhaustion ( 45 – 47 ), were more active in CAR High T cells (Fig.”
Tan, C., Hiwa, R., Mueller, J. L., Vykunta, V. S., Hibiya, K., Noviski, M., Huizar, J., Brooks, J. F., Garcia, J., Heyn, C., et al. (2020) · Nature Immunology · doi:10.1038/s41590-020-0765-7 · Cited by 81
Ji, Y., Fioravanti, J., Zhu, W., Wang, H., Wu, T., Hu, J., Lacey, N. E., Gautam, S., Gall, J. B. L., Yang, X., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09882-8 · Cited by 88
The Innate Biologies of Adaptive Antigen Receptors
Hayday, A., & Vantourout, P. (2020) · Annual Review of Immunology · doi:10.1146/annurev-immunol-102819-023144 · Cited by 86
Crean, D., & Murphy, E. P. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.589770 · Cited by 86
McCutcheon, S. R., Swartz, A. M., Brown, M. C., Barrera, A., Amador, C. M., Siklenka, K., Humayun, L. L., ter Weele, M. A., Isaacs, J. M., Reddy, T. E., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01554-0 · Cited by 89
Regulators of CD8+ T cell exhaustion
Sun, Q., & Dong, C. (2025) · Nature reviews. Immunology · doi:10.1038/s41577-025-01221-x · Cited by 91
“Following chronic antigen stimulation, PD1 expression by T ex cells is upregulated and stable under transcriptional and epigenetic control by factors such as NFAT, NR4A and TOX 3,5–9 , 49 .”
Regulatory Mechanisms of Inhibitory Immune Checkpoint Receptors Expression
Curdy, N., Lanvin, O., Laurent, C., Fournié, J., & Franchini, D. (2019) · Trends in Cell Biology · doi:10.1016/j.tcb.2019.07.002 · Cited by 84
Cellular and molecular waypoints along the path of T cell exhaustion
Lan, X., Zebley, C. C., & Youngblood, B. (2023) · Science Immunology · doi:10.1126/sciimmunol.adg3868 · Cited by 87
“Nr4a ↑Early activation ↑Exhaustion LCMV cl-13, murine and human tumor NFAT-Nr4a/AP1 (195, 196)”
BackgroundRewiring endogenous genes in CAR T cells for tumour-restricted payload delivery
Chen, A. X. Y., Yap, K. M., Kim, J. S., Sek, K., Huang, Y., Dunbar, P. A., Wiebking, V., Armitage, J. D., Munoz, I., Todd, K. L., et al. (2025) · Nature · doi:10.1038/s41586-025-09212-7 · Cited by 87
“Functionally, NR4A2 and RGS16 have been demonstrated to promote T cell exhaustion and limit antitumour T cell responses 38–40 , with one study observing enhanced therapeutic efficacy in NR4A2-knockout CAR T cells 38 .”
Ding, Z., Shi, H., Aboelella, N. S., Fesenkova, K., Park, E.-J., Liu, Z., Pei, L., Li, J., McIndoe, R., Xu, H., et al. (2020) · Science Immunology · doi:10.1126/sciimmunol.aba5962 · Cited by 82
“We did not find a prominent level of Nr4a1, a key regulator of exhaustion in CD8+ T cells (51, 52, 57), in exhausted tumor- specific CD4+ T cells; instead, CASTAT5 markedly up-regulated Nr4a1 but reduced Nr4a2 in polyfunctional CD4+ T cells (fig.”
BackgroundCD28 Costimulatory Domain–Targeted Mutations Enhance Chimeric Antigen Receptor T-cell Function
Boucher, J. C., Li, G., Kotani, H., Cabral, M. L., Morrissey, D., Lee, S. B., Spitler, K., Beatty, N. J., Cervantes, E. V., Shrestha, B., et al. (2020) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-20-0253 · Cited by 82
“Nur77 transcription factors are associated with T-cell exhaustion (32).”
BackgroundResultZhao, M., Kiernan, C. H., Stairiker, C. J., Hope, J. L., León, L. G., van Meurs, M., Brouwers-Haspels, I., Boers, R., Boers, J., Gribnau, J. H., et al. (2020) · PLoS Pathogens · doi:10.1371/journal.ppat.1008555 · Cited by 81
“Furthermore, TFs, which are associated with CTL exhaustion such as IRF4 [28], NR4a [29] and Batf [30] were also upregulated in the repeat peptide stimulated cells in comparison to single peptide and no peptide stimulated cells (Fig 7C).”
BackgroundResultBiomaterials to enhance antigen-specific T cell expansion for cancer immunotherapy
Isser, A., Livingston, N. K., & Schneck, J. P. (2020) · Biomaterials · doi:10.1016/j.biomaterials.2020.120584 · Cited by 77
Jin, P., Duan, X., Huang, Z., Dong, Y., Zhu, J., Guo, H., Tian, H., Zou, C., & Xie, K. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02270-3 · Cited by 88
“333 These studies suggest that NR4A is a major regulator involved in the induction of T-cell dysfunction and that NR4A inhibition is a promising approach for cancer immunotherapy.”
Advanced Nanotheranostics of CRISPR/Cas for Viral Hepatitis and Hepatocellular Carcinoma
Kong, H., Ju, E., Yi, K., Xu, W., Lao, Y., Cheng, D., Zhang, Q., Tao, Y., Li, M., & Ding, J. (2021) · Advanced Science · doi:10.1002/advs.202102051 · Cited by 77
Wang, D., Zhang, M., Zhang, Y., Qiu, G., Chen, J., Zhu, X., Kong, C., Lu, X., Liang, X., Duan, L., et al. (2022) · Advanced Science · doi:10.1002/advs.202203106 · Cited by 77
Self-citationTonic-signaling chimeric antigen receptors drive human regulatory T cell exhaustion
Lamarche, C., Ward‐Hartstonge, K. A., Tian, M., Lin, D. T. S., Huang, Q. B., Brown, A., Edwards, K., Novakovsky, G., Qi, C. N., Kobor, M. S., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2219086120 · Cited by 87
“In comparison to both UT and non-TS CAR Tregs, TS-CAR Tregs had high expression of NR4A3 (NOR1) and NR4A1 (NUR77), two genes associated with exhaustion in CD8 + T cells (16, 27).”
Sun, J., Esplugues, E., Bort, A., Cardelo, M. P., Ruz‐Maldonado, I., Fernández‐Tussy, P., Wong, C., Wang, H., Ojima, I., Kaczocha, M., et al. (2024) · Nature Metabolism · doi:10.1038/s42255-024-01019-6 · Cited by 79
“2k) 24–26 .”
Epigenetic strategies to boost CAR T cell therapy
Akbari, B., Ghahri-Saremi, N., Soltantoyeh, T., Hadjati, J., Ghassemi, S., & Mirzaei, H. R. (2021) · Molecular Therapy · doi:10.1016/j.ymthe.2021.08.003 · Cited by 79
CRISPR/Cas9: A Powerful Strategy to Improve CAR-T Cell Persistence
Wei, W., Chen, Z., & Wang, X. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241512317 · Cited by 90
“The nuclear receptor transcription factor NR4A is highly expressed in CD8+-exhausted T cells, and the knockout of NR4A in CAR-T cells inhibits tumor progression [95].”
BackgroundTumor-specific cholinergic CD4+ T lymphocytes guide immunosurveillance of hepatocellular carcinoma
Zheng, C., Snow, B. E., Elia, A. J., Nechanitzky, R., Dominguez-Brauer, C., Liu, S., Tong, Y., Cox, M. A., Focaccia, E., Wakeham, A. C., et al. (2023) · Nature Cancer · doi:10.1038/s43018-023-00624-w · Cited by 75
“NFAT-induced transcription factors, including NR4A and TOX, drive T cell exhaustion/dysfunction 44–47 .”
BackgroundVerma, M., Michalec, L., Sripada, A., McKay, J. T., Sirohi, K., Verma, D., Sheth, D., Martin, R. J., Dyjack, N. T., Seibold, M. A., et al. (2021) · The Journal of Experimental Medicine · doi:10.1084/jem.20201354 · Cited by 76
HBV-Specific CD8+ T-Cell Tolerance in the Liver
Baudi, I., Kawashima, K., & Isogawa, M. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.721975 · Cited by 78
“Interestingly, NR4A has been implicated in T cell exhaustion that limits CAR-T cell-based immunotherapy in solid tumors and LCMV infection (80, 81).”
BackgroundXu, L., Saunders, K., Huang, S.-P., Knútsdóttir, H., Martinez-Algarin, K., Terrazas, I., Chen, K., McArthur, H., Maués, J., Hodgdon, C., et al. (2024) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101511 · Cited by 84
“Most notably, NK-1 was marked by genes related to the NR4A family, 32,33 JUN , FOS , and DUSP1 .”
NR4A1 regulates expression of immediate early genes, suppressing replication stress in cancer
Guo, H., Golczer, G., Wittner, B. S., Langenbucher, A., Zachariah, M. A., Dubash, T. D., Hong, X., Comaills, V., Burr, R., Ebright, R. Y., et al. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.09.016 · Cited by 79
Wang, D., Zhang, M., Qiu, G., Rong, C., Zhu, X., Qin, G., Kong, C., Zhou, J., Liang, X., Bu, Z., et al. (2023) · ACS Nano · doi:10.1021/acsnano.2c10845 · Cited by 73
Wang, A. Z., Mashimo, B. L., Schaettler, M. O., Sherpa, N. D., Leavitt, L. A., Livingstone, A. J., Khan, S. M., Li, M., Anzaldua-Campos, M. I., Bradley, J. D., et al. (2024) · Cancer Discovery · doi:10.1158/2159-8290.cd-23-0913 · Cited by 73
SUV39H1 Ablation Enhances Long-term CAR T Function in Solid Tumors
López-Cobo, S., Fuentealba, J. R., Gueguen, P., Bonté, P.-E., Tsalkitzi, K., Chacón, I., Glauzy, S., Bohineust, A., Biquand, A., Silva, L., et al. (2024) · Cancer Discovery · doi:10.1158/2159-8290.cd-22-1350 · Cited by 72
Tillé, L., Cropp, D., Charmoy, M., Reichenbach, P., Andreatta, M., Wyss, T., Bodley, G., Crespo, I., Nassiri, S., Lourenço, J., et al. (2023) · Nature Immunology · doi:10.1038/s41590-023-01614-x · Cited by 74
Modular pooled discovery of synthetic knockin sequences to program durable cell therapies
Blaeschke, F., Chen, Y. Y., Apathy, R., Dániel, B., Chen, A. Y., Chen, P. A., Sándor, K., Zhang, W., Li, Z., Mowery, C. T., et al. (2023) · Cell · doi:10.1016/j.cell.2023.08.013 · Cited by 71
Pratama, A., Schnell, A., Mathis, D. J., & Benoist, C. O. (2019) · The Journal of Experimental Medicine · doi:10.1084/jem.20190428 · Cited by 74
“9 A, Nur77 may simply be an indicator of the activation status of the cells, but one could also hypothesize that it directly plays a role in determining the difference in fate of Tconv cells upon conversion to pTreg cells, which is plausible given its sizeable transcriptional footprint in T cells (Fassett et al., 2012…”
BackgroundTick-TOX, it’s time for T cell exhaustion
Mann, T. H., & Kaech, S. M. (2019) · Nature Immunology · doi:10.1038/s41590-019-0478-y · Cited by 70
Exhausted T cells and epigenetic status
Zeng, Z., Wei, F., & Ren, X. (2020) · Cancer Biology and Medicine · doi:10.20892/j.issn.2095-3941.2020.0338 · Cited by 73
Roussel, M., Le, K.-S., Granier, C., Gutierrez, F. L., Foucher, E. D., Gallou, S. L., Pangault, C., Xerri, L., Launay, V., Lamy, T., et al. (2021) · Blood Advances · doi:10.1182/bloodadvances.2020003080 · Cited by 72
Rewriting History: Epigenetic Reprogramming of CD8+ T Cell Differentiation to Enhance Immunotherapy
Zebley, C. C., Gottschalk, S. M., & Youngblood, B. (2020) · Trends in Immunology · doi:10.1016/j.it.2020.06.008 · Cited by 71
Chen, J., Song, Y., Miao, F., Chen, G., Zhu, Y., Wu, N., Pang, L., Chen, Z., & Chen, X. (2021) · Cancer Science · doi:10.1111/cas.15033 · Cited by 70
Self-citationDynamic Post-Transcriptional Events Governing CD8+ T Cell Homeostasis and Effector Function
Salerno, F., Turner, M., & Wolkers, M. C. (2020) · Trends in Immunology · doi:10.1016/j.it.2020.01.001 · Cited by 59
“Conversely, in such models, inhibiting PD-1 signaling with blocking antibodies enhanced protein production without affecting the amounts of Ifng mRNA, its stability, and/or the epigenetic state of the Ifng gene [118,120].”
BackgroundInfluentialT Cell Exhaustion and CAR‐T Immunotherapy in Hematological Malignancies
Tang, L., Zhang, Y., Hu, Y., & Mei, H. (2021) · BioMed Research International · doi:10.1155/2021/6616391 · Cited by 72
Shao, M., Teng, X., Guo, X., Zhang, H., Huang, Y., Cui, J., Si, X., Ding, L., Wang, X., Li, X., et al. (2022) · Advanced Science · doi:10.1002/advs.202103508 · Cited by 67
Nuclear receptor Nur77: its role in chronic inflammatory diseases
Lith, S. C., & de Vries, C. J. M. (2021) · Essays in Biochemistry · doi:10.1042/ebc20210004 · Cited by 67
DCision-making in tumors governs T cell anti-tumor immunity
Alfei, F., Ho, P., & Lo, W. (2021) · Oncogene · doi:10.1038/s41388-021-01946-8 · Cited by 68
Preclinical Evaluation of CAR T Cell Function: In Vitro and In Vivo Models
Si, X., Xiao, L., Brown, C. E., & Wang, D. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23063154 · Cited by 70
“Tumor-infiltrating T cells are usually the cell populations analyzed, and these cells are mixtures of subsets representing differential states of tumor recognition, trafficking exhaustion, which is further confounded by the inconsistency across tumor models [182,183].”
BackgroundAhn, T., Bae, E., & Seo, H. (2024) · Molecular Therapy · doi:10.1016/j.ymthe.2024.04.004 · Cited by 71
“51,71 STAT3 has been recently shown to play crucial roles in T exterm cell development in cancer.”
Self-citationT‐cell exhaustion in CAR‐T ‐cell therapy and strategies to overcome it
Yin, X., He, L., & Guo, Z. (2023) · Immunology · doi:10.1111/imm.13642 · Cited by 67
P2X7 Receptor Activity Limits Accumulation of T Cells within Tumors
Romagnani, A., Rottoli, E., Mazza, E. M. C., Rezzonico-Jost, T., Conti, B. D. P., Proietti, M., Perotti, M., Civanelli, E., Perruzza, L., Catapano, A. L., et al. (2020) · Cancer Research · doi:10.1158/0008-5472.can-19-3807 · Cited by 63
“The NFAT–NR4A axis controls the expression of multiple inhibitory receptors; CAR T cells with deletion of the three Nr4a genes promote regression of solid tumors and prolong survival, thereby suggesting NR4A inhibition could constitute a promising strategy in cancer immunotherapy (49).”
BackgroundProteotoxic stress response drives T cell exhaustion and immune evasion
Wang, Y., Ma, A., Song, N.-J., Shannon, A. E., Amankwah, Y. S., Chen, X., Wu, W., Wang, Z., Saadey, A. A., Yousif, A., et al. (2025) · Nature · doi:10.1038/s41586-025-09539-1 · Cited by 68
“We also generated a proteomic dataset of transgenic T cells against a D b -restricted gp33 epitope of LCMV (called P14) at days 8, 15 and 30 after infection 32 (Extended Data Fig.”
Costimulatory domains direct distinct fates of CAR-driven T cell dysfunction
Selli, M. E., Landmann, J. H., Terekhova, M., Lattin, J., Heard, A. D., Hsu, Y.-S., Chang, T.-C., Chang, J., Warrington, J. M., Ha, H., et al. (2023) · Blood · doi:10.1182/blood.2023020100 · Cited by 63
Targets of tumor microenvironment for potential drug development
Zhang, L., Wang, Z., Liu, K., Liu, Y., Wang, S., Jiang, W., Lu, F., & Dang, Y. (2024) · MedComm – Oncology · doi:10.1002/mog2.68 · Cited by 68
“48,49 To counteract this, several novel approaches have been proposed, such as overexpression of c ‐ JUN, 50 deletion of nuclear receptor subfamily 4A (NR4A), 51 and transient induction of resting T cells by dasatinib.”
Revitalizing T cells: breakthroughs and challenges in overcoming T cell exhaustion
Wu, Y., Wu, Y., Gao, Z., Yu, W., Zhang, L., & Zhou, F. (2026) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02327-3 · Cited by 78
“300 In addition, TOX 301 – 303 and NR4A 304,305 family members, secondary transcription factors induced by NFAT, have surfaced as pivotal regulators of T cell exhaustion.”
Jin, C., Ma, J., Ramachandran, M., Yu, D., & Essand, M. (2022) · Nature Biomedical Engineering · doi:10.1038/s41551-022-00875-5 · Cited by 62
“Granulocyte migration (8) NK cellmediated immunity (7) Regulation of hemopoiesis (7)”
Exhausted CD8+ T cells face a developmental fork in the road
Zander, R., & Cui, W. (2023) · Trends in Immunology · doi:10.1016/j.it.2023.02.006 · Cited by 65
LunX-CAR T Cells as a Targeted Therapy for Non-Small Cell Lung Cancer
Hu, Z., Zheng, X., Jiao, D., Zhou, Y., Sun, R., Wang, B., Tian, Z., & Wei, H. (2020) · Molecular Therapy — Oncolytics · doi:10.1016/j.omto.2020.04.008 · Cited by 61
Antigen-driven EGR2 expression is required for exhausted CD8+ T cell stability and maintenance
Wagle, M. V., Vervoort, S. J., Kelly, M. J., Byl, W. V. D., Peters, T. J., Martin, B. P., Martelotto, L. G., Nüssing, S., Ramsbottom, K. M., Torpy, J., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23044-9 · Cited by 62
p16INK4a Regulates Cellular Senescence in PD-1-Expressing Human T Cells
Janelle, V., Neault, M., Lebel, M., Sousa, D. M. D., Boulet, S., Durrieu, L., Carli, C., Muzac, C., Lemieux, S., Labrecque, N., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.698565 · Cited by 60
“The TOX mRNA expression, which encodes the master transcription factor regulating T-cell exhaustion fates, was slightly higher in repeatedly stimulated CD8 T cells relative to day 7 T cells, which led to a significant increase of the three isoforms of its target transcription factors NR4A (42, 43) (Figures 2D, E).”
BackgroundEngineering chimeric antigen receptor T cells for solid tumour therapy
Liu, L., Qu, Y., Cheng, L., Yoon, C. W., He, P., Monther, A., Guo, T., Chittle, S. J., & Wang, Y. (2022) · Clinical and Translational Medicine · doi:10.1002/ctm2.1141 · Cited by 61
T-cell exhaustion and stemness in antitumor immunity: Characteristics, mechanisms, and implications
Chi, X., Luo, S., Ye, P., Hwang, W., Cha, J., Yan, X., & Yang, W. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1104771 · Cited by 62
“CD8 T cells express high levels of NR4As in tumors, and knockout of all three NR4As in CAR-T cells inhibited T-cell exhaustion, thus promoting tumor regression and prolonging survival in tumor-bearing mice (82).”
BackgroundZhou, Z., Wang, J., Wang, J., Yang, S., Wang, R., Zhang, G., Li, Z., Shi, R., Wang, Z., & Lu, Q. (2024) · Molecular Cancer · doi:10.1186/s12943-024-02047-2 · Cited by 66
“High expression of NR4A transcription factors and enrichment of NR4A binding motifs in chromatin regions was also demonstrated in TEx [168].”
Background
Metadata
- Authors
- Chen, J., López-Moyado, I. F., Seo, H., Lio, C.-W. J., Hempleman, L. J., Sekiya, T., Yoshimura, A., Scott-Browne, J. P., & Rao, A.
- Affiliations
- La Jolla Institute for Immunology (US)
- National Center for Global Health and Medicine (JP)
- Keio University (JP)
- Corresponding author
- Chen, Joyce
- Scott-Browne, James P.
- Rao, Anjana
- ORCID
- Venue
- Nature
- Published
- 2019-02-27
- Volume
- 567
- Issue
- 7749
- Pages
- 530-534
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC6546093
- OpenAlex
- W2917547201
- Cited by
- 874
- References
- 47
- Citations by year
- 2026: 136 · 2025: 127 · 2024: 122 · 2023: 134 · 2022: 101 · 2021: 121 · 2020: 93 · 2019: 40
- FWCI
- 37.10
- 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)
- Seoul National University Open Repository (Seoul National University) (submittedVersion)
- Funders
- National Institutes of Health (1s10od016262-01)
- Japan Society for the Promotion of Science (18H02673, 19H04822, 16KT0114, 17H06175, 16K15292)
- National Institute of General Medical Sciences (T32GM007752)
- National Institute of Allergy and Infectious Diseases (R01AI109842, R01AI048213, R56AI109842, R01AI040127)
- National Institute of Dental and Craniofacial Research (U01DE028227)
- National Center for Research Resources (S10RR027366)
- Topics
- Health Sciences › Medicine › Oncology › CAR-T cell therapy research
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Nuclear Receptors and Signaling
- Keywords
- Nur77, Nurr1, NOR-1, chimeric antigen receptor T cells, CD19, T cell exhaustion, solid tumors, chromatin accessibility, NFAT, PD-1, TIM-3, tumor-infiltrating lymphocytes, effector T cells, cancer immunotherapy, transcriptional reprogramming
- MeSH terms
- Receptors, Chimeric Antigen, Animals, Chromatin, DNA-Binding Proteins, Female, Humans, Male, Melanoma, Experimental, Mice, Inbred C57BL, Neoplasms, Receptors, Steroid, Receptors, Thyroid Hormone, Transcription Factors, Survival Rate, Lymphocytes, Tumor-Infiltrating, NF-kappa B, CD8-Positive T-Lymphocytes, Transcription Factor AP-1, Antigens, CD19, Adoptive Transfer, Gene Expression Profiling, Cell Line, Tumor, Mice, Nuclear Receptor Subfamily 4, Group A, Member 1, Nuclear Receptor Subfamily 4, Group A, Member 2
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review