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Cancer mediates effector T cell dysfunction by targeting microRNAs and EZH2 via glycolysis restriction
Open accessAbstract
Aerobic glycolysis regulates T cell function. However, whether and how primary cancer alters T cell glycolytic metabolism and affects tumor immunity in cancer patients remains a question. Here we found that ovarian cancers imposed glucose restriction on T cells and dampened their function via maintaining high expression of microRNAs miR-101 and miR-26a, which constrained expression of the methyltransferase EZH2. EZH2 activated the Notch pathway by suppressing Notch repressors Numb and Fbxw7 via trimethylation of histone H3 at Lys27 and, consequently, stimulated T cell polyfunctional cytokine expression and promoted their survival via Bcl-2 signaling. Moreover, small hairpin RNA-mediated knockdown of human EZH2 in T cells elicited poor antitumor immunity. EZH2(+)CD8(+) T cells were associated with improved survival in patients. Together, these data unveil a metabolic target and mechanism of cancer immune evasion.
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“short hairpin RNAs (shRNAs) targeting EZH2 compromise the ability of CD8 + CTLs to mount robust immune responses”
From Immunomodulation by targeted anticancer agents (2021) · cites this paper as Zhao et al., 2016
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“correlating with a positive prognostic impact for tumor infiltration by EHZ2 + CD8 + cells in patients with ovarian cancer”
From Immunomodulation by targeted anticancer agents (2021) · cites this paper as Zhao et al., 2016
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Type, Density, and Location of Immune Cells Within Human Colorectal Tumors Predict Clinical Outcome
Galon, J., Costes, A., Sanchez-Cabo, F., Kirilovsky, A., Mlecnik, B., Lagorce-Pagès, C., Tosolini, M., Camus, M., Berger, A., Wind, P., et al. (2006) · Science · doi:10.1126/science.1129139 · Cited by 6,516
Curiel, T. J., Coukos, G., Zou, L., Alvarez, X., Cheng, P., Mottram, P., Evdemon-Hogan, M., Conejo-Garcia, J. R., Zhang, L., Burow, M., et al. (2004) · Nature Medicine · doi:10.1038/nm1093 · Cited by 5,151
Self-citationWherry, E. J. (2011) · Nature Immunology · doi:10.1038/ni.2035 · Cited by 4,062
Role of Histone H3 Lysine 27 Methylation in Polycomb-Group Silencing
Cao, R., Wang, L., Wang, H., Xia, L., Erdjument-Bromage, H., Tempst, P., Jones, R. S., & Zhang, Y. (2002) · Science · doi:10.1126/science.1076997 · Cited by 3,775
Self-citationIntratumoral T Cells, Recurrence, and Survival in Epithelial Ovarian Cancer
Zhang, L., Conejo-Garcia, J. R., Katsaros, D., Gimotty, P. A., Massobrio, M., Regnani, G., Makrigiannakis, A., Gray, H., Schlienger, K., Liebman, M. N., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa020177 · Cited by 3,397
Time‐Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker
Heagerty, P. J., Lumley, T., & PEPE, M. S. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00337.x · Cited by 2,870
The polycomb group protein EZH2 is involved in progression of prostate cancer
Varambally, S., Dhanasekaran, S. M., Zhou, M., Barrette, T. R., Kumar-Sinha, C., Sanda, M. G., Ghosh, D., Pienta, K. J., Sewalt, R. G. A. B., Otte, A. P., et al. (2002) · Nature · doi:10.1038/nature01075 · Cited by 2,717
Self-citationThe Polycomb group protein EZH2 directly controls DNA methylation
Viré, E., Brenner, C., Deplus, R., Blanchon, L., Fraga, M., Didelot, C., Morey, L., Van Eynde, A., Bernard, D., Vanderwinden, J.-M., et al. (2006) · Nature · doi:10.1038/nature04431 · Cited by 2,204
Posttranscriptional Control of T Cell Effector Function by Aerobic Glycolysis
Chang, C.-H., Curtis, J. D., Maggi, L. B., Faubert, B., Villarino, A. V., O’Sullivan, D., Huang, S. C.-C., van der Windt, G. J. W., Blagih, J., Qiu, J., et al. (2013) · Cell · doi:10.1016/j.cell.2013.05.016 · Cited by 2,204
Effector Memory T Cells, Early Metastasis, and Survival in Colorectal Cancer
Pagès, F., Berger, A., Camus, M., Sanchez-Cabo, F., Costes, A., Molidor, R., Mlecnik, B., Kirilovsky, A., Nilsson, M., Damotte, D., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa051424 · Cited by 2,135
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Wu, Z., Huang, H., Han, Q., Hu, Z., Teng, X.-L., Ding, R., Ye, Y., Yu, X., Zhao, R., Wang, Z., et al. (2022) · Journal of Clinical Investigation · doi:10.1172/jci155224 · Cited by 84
Self-citationZhao, J., Jin, D., Huang, M., Ji, J., Xu, X., Wang, F., Zhou, L., Bao, B., Jiang, F., Xu, W., et al. (2024) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2024.1416472 · Cited by 84
Noncoding RNAs link metabolic reprogramming to immune microenvironment in cancers
Zhang, Y., Mao, Q., Xia, Q., Cheng, J., Huang, Z., Li, Y., Chen, P., Yang, J., Fan, X., Liang, Y., et al. (2021) · Journal of Hematology & Oncology · doi:10.1186/s13045-021-01179-y · Cited by 81
Self-citationZhou, L., & Yu, D. C. W. (2024) · Pharmacological Research · doi:10.1016/j.phrs.2024.107205 · Cited by 96
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Sierra, R. A., Trillo-Tinoco, J., Mohamed, E. T., Yu, L. C., Achyut, B. R., Arbab, A. S., Bradford, J. W., Osborne, B. A., Miele, L., & Rodrı́guez, P. C. (2017) · Cancer Research · doi:10.1158/0008-5472.can-17-0357 · Cited by 82
Metabolic Adaptation of Human CD4+ and CD8+ T-Cells to T-Cell Receptor-Mediated Stimulation
Jones, N., Cronin, J., Dolton, G. M., Panetti, S., Schauenburg, A. J. A., Galloway, S. A. E., Sewell, A. K., Cole, D. K., Thornton, C. A., & Francis, N. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01516 · Cited by 81
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Chen, S., Pu, J., Bai, J., Yin, Y., Wu, K., Wang, J., Shuai, X., Gao, J., Tao, K., Wang, G., et al. (2018) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-017-0670-6 · Cited by 83
Self-citationXu, S., Xu, Y., Yin, M., Zhang, S., Liu, P., Koroleva, M., Si, S., Little, P. J., Pelisek, J., & Jin, Z. G. (2018) · Theranostics · doi:10.7150/thno.21966 · Cited by 82
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Cai, D. L., & Jin, L. (2017) · Journal of Cancer · doi:10.7150/jca.20314 · Cited by 80
Sun, S., Feng, Y., Xu, D., Zheng, H., & Li, M. (2022) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2022.188700 · Cited by 81
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Li, T., Yu, C., & Zhuang, S. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.640700 · Cited by 75
Missiaen, R., Lesner, N. P., & Simon, M. C. (2023) · The EMBO Journal · doi:10.15252/embj.2022112067 · Cited by 78
Chen, M., Xiao, C., Lao, X., Yuan, W., Liu, R., Zeng, Q., Wang, J., Ouyang, F., Chen, D., Chan, K., et al. (2016) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-0329 · Cited by 74
Self-citationGall‐Tros̆elj, K., Kujundžić, R. N., & Ugarkovic, D. (2016) · Clinical Epigenetics · doi:10.1186/s13148-016-0226-1 · Cited by 73
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Shi, Y., Wang, X., Zhuang, Y., Jiang, Y., Melcher, K., & Xu, H. E. (2017) · Acta Pharmacologica Sinica · doi:10.1038/aps.2017.7 · Cited by 75
Habtetsion, T. G., Ding, Z., Pi, W., Li, T., Lu, C., Chen, T., Xi, C., Spartz, H., Liu, K., Hao, Z., et al. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.05.012 · Cited by 72
Hua, Y., Yang, S., Zhang, Y., Li, J., Wang, M., Yeerkenbieke, P., Liao, Q., & Liu, Q. (2024) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-023-02925-5 · Cited by 74
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Rivadeneira, D. B., & Delgoffe, G. M. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-17-0894 · Cited by 69
Teruel, M., & Sawalha, A. H. (2017) · Current Rheumatology Reports · doi:10.1007/s11926-017-0657-5 · Cited by 65
Tsou, P., Coit, P., Kilian, N. C., & Sawalha, A. H. (2017) · Arthritis & Rheumatology · doi:10.1002/art.40338 · Cited by 64
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Rohraff, D. M., He, Y., Farkash, E. A., Schonfeld, M., Tsou, P., & Sawalha, A. H. (2019) · Arthritis & Rheumatology · doi:10.1002/art.40931 · Cited by 63
Yu, C., Xiong, C., Tang, J., Hou, X., Liu, N., Bayliss, G. P., & Zhuang, S. (2021) · Theranostics · doi:10.7150/thno.48679 · Cited by 64
Ning, W.-R., Jiang, D., Liu, X.-C., Huang, Y.-F., Peng, Z.-P., Jiang, Z.-Z., Kang, T., Zhuang, S.-M., Wu, Y., & Zheng, L. (2022) · Journal of Clinical Investigation · doi:10.1172/jci153110 · Cited by 66
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Han, C. Y., Patten, D. A., Richardson, R. B., Harper, M., & Tsang, B. K. (2018) · Genes & Cancer · doi:10.18632/genesandcancer.176 · Cited by 62
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Wu, Y., Chang, N., Zhang, Y., Zhang, X., Xu, L., Che, Y., Qiao, T., Wu, B., Zhou, Y., Jiang, J., et al. (2021) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-021-01880-3 · Cited by 62
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Zuo, S., Song, J., Zhang, J., He, Z., Sun, B., & Sun, J. (2021) · Theranostics · doi:10.7150/thno.59953 · Cited by 56
Fan, M. Y., & Turka, L. A. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00069 · Cited by 57
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Chowdhury, S., Kar, A., Bhowmik, D., Gautam, A., Basak, D., Sarkar, I., Ghosh, P., Sarkar, D., Deka, A., Chakraborty, P., et al. (2022) · Cancer Research · doi:10.1158/0008-5472.can-21-4052 · Cited by 58
Zheng, M. H., Cao, M., Luo, X., Li, L., Wang, K., Wang, S., Wang, H., Tang, Y., Tang, Y., & Liang, X. (2019) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.14579 · Cited by 55
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Li, X., Zhang, Y., Ma, W., Fu, Q., Liu, J., Yin, G., Chen, P., Dai, D., Chen, W., Qi, L., et al. (2020) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-019-02457-y · Cited by 59
Self-citationDong, H., Liu, S., Zhang, X., Chen, S., Kang, L., Chen, Y., Ma, S., Fu, X., Liu, Y., Zhang, H., et al. (2019) · Cancer Research · doi:10.1158/0008-5472.can-19-0428 · Cited by 53
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Desaulniers, D. M., Vasseur, P., Jacobs, A. C., Aguila, M. C., Ertych, N., & Jacobs, M. N. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222010969 · Cited by 55
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Li, C., Liu, F.-Y., Shen, Y., Tian, Y., & Han, F. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1284853 · Cited by 57
Ping, S., Wang, S., Zhao, Y., He, J., Li, G., Li, D., Wei, Z., & Chen, J. (2022) · Cancer Medicine · doi:10.1002/cam4.4706 · Cited by 51
Tuccitto, A., Shahaj, E., Vergani, E., Ferro, S., Huber, V., Rodolfo, M., Castelli, C., Rivoltini, L., & Vallacchi, V. (2018) · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · doi:10.1007/s00428-018-2477-z · Cited by 54
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Wang, X., Luo, X., Xiao, R., Liu, X., Zhou, F., Jiang, D., Bai, J., Cui, M., You, L., & Yupei, Z. (2026) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02334-4 · Cited by 59
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Guo, C., Chen, S., Liu, W., Ma, Y., Li, J., Fisher, P. B., Fang, X., & Wang, X. (2019) · Advances in cancer research · doi:10.1016/bs.acr.2019.03.004 · Cited by 56
Zhang, M., Iwata, S., Hajime, M., Ohkubo, N., Todoroki, Y., Miyata, H., Ueno, M., He, H., Zhang, T., Fan, J., et al. (2020) · Arthritis & Rheumatology · doi:10.1002/art.41208 · Cited by 49
Yin, L., & Wang, Y. (2022) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-022-03305-2 · Cited by 48
Self-citationEpigenetic remodeling of the immune landscape in cancer: therapeutic hurdles and opportunities
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Yu, J. H., Xiao, C., Fan, T. T., Deng, Z., Wang, D., Cai, W., Li, J., Liao, T., Li, C., & He, J. (2025) · Molecular Cancer · doi:10.1186/s12943-025-02255-4 · Cited by 52
MicroRNA-491 regulates the proliferation and apoptosis of CD8+ T cells
Yu, T., Zuo, Q., Gong, L., Wang, L., Zou, Q., & Xiao, B. (2016) · Scientific Reports · doi:10.1038/srep30923 · Cited by 46
Transcriptional and epigenetic regulation of T cell hyporesponsiveness
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Self-citationWu, C.-Y., Huang, C.-X., Lao, X., Zhou, Z.-W., Jian, J.-H., Li, Z., Wu, Y., Liu, Z., Chen, L., Liu, L., et al. (2025) · Cell · doi:10.1016/j.cell.2025.06.027 · Cited by 44
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Guo, Z., Pan, F., Peng, L., Tian, S., Jiao, J., Liao, L., Lu, C., Zhai, G., Wu, Z., Dong, H., et al. (2020) · Molecular & Cellular Proteomics · doi:10.1074/mcp.ra120.002150 · Cited by 45
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Wang, X., Brea, L. T., & Yu, J. (2019) · PubMed Central · Cited by 43
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Self-citationOu, J., Lei, P., Yang, Z., Yang, M. G., Luo, L.-M., Mo, H., Luo, G., & He, J. (2021) · Journal of Molecular Histology · doi:10.1007/s10735-021-09967-z · Cited by 33
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Metadata
- Authors
- Zhao, E., Maj, T., Kryczek, I., Li, W., Wu, K., Zhao, L., Wei, S., Crespo, J., Wan, S., Vatan, L., Szeliga, W., Shao, I., Wang, Y., Liu, Y., Varambally, S., Chinnaiyan, A. M., Welling, T. H., Marquez, V., Kotarski, J., Wang, H., Wang, Z., Zhang, Y., Liu, R., Wang, G., & Zou, W.
- Affiliations
- University of Michigan (US)
- Medical University of Lublin (PL)
- Wuhan Union Hospital (CN)
- Corresponding author
- Wang, Guobin
- Zou, Weiping
- ORCID
- Venue
- Nature Immunology
- Published
- 2015-11-02
- Volume
- 17
- Issue
- 1
- Pages
- 95-103
- ISSN
- 1529-2908 (ISSN-L)
- 1529-2916
- PMC
- PMC4684796
- OpenAlex
- W2202401513
- Cited by
- 405
- References
- 50
- Citations by year
- 2026: 19 · 2025: 30 · 2024: 37 · 2023: 35 · 2022: 54 · 2021: 51 · 2020: 42 · 2019: 34 · 2018: 38 · 2017: 35 · 2016: 29 · 2015: 1
- FWCI
- 15.00
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Immunology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Heart, Lung, and Blood Institute (R01HL127351)
- National Cancer Institute (R01CA092562, CA099985, R01CA123088, R01CA152470, R01CA156685, R01CA172106, CA123088, 5P30 CA 46592, CA156685, R01CA171306, R01CA193136, CA171306, R01CA099985, R01CA190176, P30CA046592)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Keywords
- tumor immune evasion, EZH2, microRNA, miR-101, miR-26a, glycolysis, glucose restriction, Notch signaling, H3K27me3, Numb, FBXW7, T cell apoptosis, ovarian cancer, antitumor immunity, CD8+ T cells
- MeSH terms
- Enhancer of Zeste Homolog 2 Protein, Animals, Cell Separation, Female, Flow Cytometry, Fluorescent Antibody Technique, Glycolysis, Humans, Melanoma, Experimental, Mice, Inbred C57BL, Neoplasms, Ovarian Neoplasms, T-Lymphocytes, Transfection, Immunoblotting, Gene Expression Regulation, Neoplastic, Tumor Escape, MicroRNAs, Tissue Array Analysis, Chromatin Immunoprecipitation, Real-Time Polymerase Chain Reaction, Polycomb Repressive Complex 2
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