The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Hypoxia drives CD39-dependent suppressor function in exhausted T cells to limit antitumor immunity
Open accessAbstract
CD8+ T cells are critical for elimination of cancer cells. Factors within the tumor microenvironment (TME) can drive these cells to a hypofunctional state known as exhaustion. The most terminally exhausted T (tT ex) cells are resistant to checkpoint blockade immunotherapy and might instead limit immunotherapeutic efficacy. Here we show that intratumoral CD8+ tT ex cells possess transcriptional features of CD4+Foxp3+ regulatory T cells and are similarly capable of directly suppressing T cell proliferation ex vivo. tT ex cell suppression requires CD39, which generates immunosuppressive adenosine. Restricted deletion of CD39 in endogenous CD8+ T cells resulted in slowed tumor progression, improved immunotherapy responsiveness and enhanced infiltration of transferred tumor-specific T cells. CD39 is induced on tT ex cells by tumor hypoxia, thus mitigation of hypoxia limits tT ex suppression. Together, these data suggest tT ex cells are an important regulatory population in cancer and strategies to limit their generation, reprogram their immunosuppressive state or remove them from the TME might potentiate 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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Independent of glycolysis, the HIFs can induce the production of immunosuppressive metabolites such as adenosine by transcriptionally activating ectoenzymes such as ENTPD2/CD39L1, CD39, and CD73 (Table 1), which contribute to the multistep conversion of extracellular ATP through ADP/AMP to adenosine, thus promoting the maintenance of MDSCs, which limits the activity of immune checkpoint inhibitors”
From The HIF Axes in Cancer - Angiogenesis, Metabolism and Immune-Modulation (2025) · cites this paper as [92]
Experimental — accuracy not yet measured
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
Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
Tirosh, I., Izar, B., Prakadan, S. M., Wadsworth, M. H., Treacy, D., Trombetta, J. J., Rotem, A., Rodman, C., Lian, C., Murphy, G., et al. (2016) · Science · doi:10.1126/science.aad0501 · Cited by 4,944
Molecular and cellular insights into T cell exhaustion
Wherry, E. J., & Kurachi, M. (2015) · Nature Reviews Immunology · doi:10.1038/nri3862 · Cited by 4,652
Deaglio, S., Dwyer, K. M., Gao, W., Friedman, D. J., Usheva, A., Erat, A., Chen, J., Enjyoji, K., Linden, J. M., Oukka, M., et al. (2007) · The Journal of Experimental Medicine · doi:10.1084/jem.20062512 · Cited by 2,613
Self-citationMolecular 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
Miller, B. C., Sen, D. R., Al Abosy, R., Bi, K., Virkud, Y. V., LaFleur, M. W., Yates, K. B., Lako, A., Felt, K., Naik, G. S., et al. (2019) · Nature Immunology · doi:10.1038/s41590-019-0312-6 · Cited by 2,087
Pagès, F., Mlecnik, B., Marliot, F., Bindea, G., Ou, F.-S., Bifulco, C., Lugli, A., Zlobec, I., Rau, T. T., Berger, M. D., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)30789-x · Cited by 2,075
Defining CD8+ T cells that provide the proliferative burst after PD-1 therapy
Im, S. J., Hashimoto, M., Gerner, M. Y., Lee, J., Kissick, H. T., Burger, M. C., Shan, Q., Hale, J. S., Lee, J., Nasti, T. H., et al. (2016) · Nature · doi:10.1038/nature19330 · Cited by 2,070
Defining T Cell States Associated with Response to Checkpoint Immunotherapy in Melanoma
Sade-Feldman, M., Yizhak, K., Bjorgaard, S. L., Ray, J. P., de Boer, C. G., Jenkins, R. W., Lieb, D. J., Chen, J. H., Frederick, D. T., Barzily-Rokni, M., et al. (2018) · Cell · doi:10.1016/j.cell.2018.10.038 · Cited by 2,053
Blank, C. U., Haining, W. N., Held, W., Hogan, P. G., Kallies, A., Lugli, E., Lynn, R. C., Philip, M., Rao, A., Restifo, N. P., et al. (2019) · Nature Reviews Immunology · doi:10.1038/s41577-019-0221-9 · Cited by 1,603
The immune contexture and Immunoscore in cancer prognosis and therapeutic efficacy
Bruni, D., Angell, H. K., & Galon, J. (2020) · Nature reviews. Cancer · doi:10.1038/s41568-020-0285-7 · Cited by 1,586
Cited by
Sorted by citations
The hallmarks of cancer immune evasion
Galassi, C., Chan, T. A.-T., Vitale, I., & Galluzzi, L. (2024) · Cancer Cell · doi:10.1016/j.ccell.2024.09.010 · Cited by 630
CD8+ T cells in the cancer-immunity cycle
Giles, J. R., Globig, A.-M., Kaech, S. M., & Wherry, E. J. (2023) · Immunity · doi:10.1016/j.immuni.2023.09.005 · Cited by 491
Emerging evidence for adapting radiotherapy to immunotherapy
Galluzzi, L., Aryankalayil, M. J., Coleman, C. N., & Formenti, S. C. (2023) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-023-00782-x · Cited by 389
Cancer cell metabolism and antitumour immunity
Martino, M. D., Rathmell, J. C., Galluzzi, L., & Vanpouille‐Box, C. (2024) · Nature reviews. Immunology · doi:10.1038/s41577-024-01026-4 · Cited by 385
Cancer organoids 2.0: modelling the complexity of the tumour immune microenvironment
Polak, R., Zhang, E., & Kuo, C. J. (2024) · Nature reviews. Cancer · doi:10.1038/s41568-024-00706-6 · Cited by 347
Stem-like exhausted and memory CD8+ T cells in cancer
Gebhardt, T., Park, S. L., & Parish, I. A. (2023) · Nature reviews. Cancer · doi:10.1038/s41568-023-00615-0 · Cited by 223
Nanoparticle‐Based Photothermal Therapy for Breast Cancer Noninvasive Treatment
Xiong, Y., Rao, Y., Hu, J., Luo, Z., & Chen, C. (2023) · Advanced Materials · doi:10.1002/adma.202305140 · Cited by 190
Inosine induces stemness features in CAR-T cells and enhances potency
Klysz, D. D., Fowler, C., Malipatlolla, M. B., Stuani, L., Freitas, K. A., Chen, Y., Meier, S. L., Dániel, B., Sándor, K., Xu, P., et al. (2024) · Cancer Cell · doi:10.1016/j.ccell.2024.01.002 · Cited by 181
Regulatory T cells in immune checkpoint blockade antitumor therapy
Zhang, A., Fan, T., Liu, Y., Yu, G., Li, C., & Jiang, Z. (2024) · Molecular Cancer · doi:10.1186/s12943-024-02156-y · Cited by 166
T cell dysfunction and therapeutic intervention in cancer
Zebley, C. C., Zehn, D., Gottschalk, S. M., & Chi, H. (2024) · Nature Immunology · doi:10.1038/s41590-024-01896-9 · Cited by 145
Current trends in sensitizing immune checkpoint inhibitors for cancer treatment
Wei, J., Li, W., Zhang, P., Guo, F., & Liu, M. (2024) · Molecular Cancer · doi:10.1186/s12943-024-02179-5 · Cited by 144
The role of ROS in tumor infiltrating immune cells and cancer immunotherapy
Shah, R., Ibis, B., Kashyap, M., & Boussiotis, V. A. (2023) · Metabolism · doi:10.1016/j.metabol.2023.155747 · Cited by 119
Regulators of CD8+ T cell exhaustion
Sun, Q., & Dong, C. (2025) · Nature reviews. Immunology · doi:10.1038/s41577-025-01221-x · Cited by 91
Unraveling the triad of hypoxia, cancer cell stemness, and drug resistance
Shang, T., Jia, Z., Li, J., Cao, H., Xu, H., Cong, L., Ma, D., Wang, X., & Liu, J. (2025) · Journal of Hematology & Oncology · doi:10.1186/s13045-025-01684-4 · Cited by 86
The diversity of CD8+ T cell dysfunction in cancer and viral infection
Galluzzi, L., Smith, K. N., Liston, A., & Garg, A. D. (2025) · Nature reviews. Immunology · doi:10.1038/s41577-025-01161-6 · Cited by 94
Ugolini, A., Leo, A. D., Yu, X., Scirocchi, F., Liu, X., Peixoto, B., Scocozza, D., Pace, A., Perego, M., Gardini, A., et al. (2025) · Cancer Discovery · doi:10.1158/2159-8290.cd-24-1056 · Cited by 92
Wang, Y., Liu, B., Min, Q., Yang, X., Yan, S., Ma, Y., Li, S., Fan, J., Wang, Y., Dong, B., et al. (2023) · Cell Discovery · doi:10.1038/s41421-023-00591-7 · Cited by 82
Everson, R. G., Hugo, W., Sun, L., Antonios, J. P., Lee, A., Ding, L., Bu, M. T., Khattab, S., Chavez, C., Billingslea-Yoon, E., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-48073-y · Cited by 77
Metabolic checkpoints in immune cell reprogramming: rewiring immunometabolism for cancer therapy
Lv, Y., Li, Z., Liu, S., Zhou, Z., Jinling, S., Ba, Y., Weng, S., Zuo, A., Xu, H. W., Luo, P., et al. (2025) · Molecular Cancer · doi:10.1186/s12943-025-02407-6 · Cited by 93
Nanotechnology Reprogramming Metabolism for Enhanced Tumor Immunotherapy
Zhou, Y., Yuan, J. T., Xu, K., Li, S., & Liu, Y. (2024) · ACS Nano · doi:10.1021/acsnano.3c11260 · Cited by 73
Zou, Z., Cheng, Q., Zhou, J., Guo, C., Hadjinicolaou, A. V., Salio, M., Liang, X., Yang, C., Du, Y., Yao, W., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.113995 · Cited by 69
How oxygenation shapes immune responses: emerging roles for physioxia and pathological hypoxia
Mirchandani, A. S., Sánchez-García, M. A., & Walmsley, S. R. (2024) · Nature reviews. Immunology · doi:10.1038/s41577-024-01087-5 · Cited by 77
Mechanisms of CD8+ T cell exclusion and dysfunction in cancer resistance to anti-PD-(L)1
Mortezaee, K., & Majidpoor, J. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.114824 · Cited by 63
Rausch, L., & Kallies, A. (2025) · Annual Review of Immunology · doi:10.1146/annurev-immunol-082223-044122 · Cited by 63
Spatiotemporal regulation of peripheral T cell tolerance
Brown, C. C., & Rudensky, A. Y. (2023) · Science · doi:10.1126/science.adg6425 · Cited by 60
The interplay between autophagy and cGAS-STING signaling and its implications for cancer
Schmid, M., Fischer, P., Engl, M., Widder, J., Gruber, S., & Slade, D. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1356369 · Cited by 61
Micevic, G., Daniels, A., Karlsen, K. F., Park, K., Talty, R., McGeary, M. K., Mirza, H., Blackburn, H. N., Sefik, E., Cheung, J. F., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2304319120 · Cited by 49
Khouzam, R. A., Janji, B., Thiery, J., Zaarour, R. F., Chamseddine, A. N., Mayr, H., Savagner, P., Kiéda, C., Gad, S., Buart, S., et al. (2023) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2023.11.008 · Cited by 54
Modulating cancer mechanopathology to restore vascular function and enhance immunotherapy
Mpekris, F., Panagi, M., Charalambous, A., Voutouri, C., & Stylianopoulos, T. (2024) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101626 · Cited by 55
Inflammation and cancer: molecular mechanisms and clinical consequences
Akkız, H., Şimşek, H., Balcı, D., Ülger, Y., Onan, E., Ozturk, N. A., & Delik, A. (2025) · Frontiers in Oncology · doi:10.3389/fonc.2025.1564572 · Cited by 59
The progress and prospects of targeting the adenosine pathway in cancer immunotherapy
Yang, Y., Zhu, L., Xu, Y., Liang, L., Liu, L.-Z., Chen, X., Li, H., & Liu, H. (2025) · Biomarker Research · doi:10.1186/s40364-025-00784-0 · Cited by 55
Low-avidity T cells drive endogenous tumor immunity in mice and humans
Singhaviranon, S., Dempsey, J. P., Hagymasi, A. T., Măndoiu, I., & Srivastava, P. K. (2025) · Nature Immunology · doi:10.1038/s41590-024-02044-z · Cited by 53
Cheng, X., Cai, H., Li, X., Zhang, Y., Li, S., Li, Y., Hu, N., Lü, Y., Jing, J., Gong, Q., et al. (2025) · EBioMedicine · doi:10.1016/j.ebiom.2025.106059 · Cited by 49
Regulatory T cells converted from Th1 cells in tumors suppress cancer immunity via CD39
Tan, S.-N., Hao, J., Ge, J., Yang, Y., Liu, L. H., Jia, H., Lin, M., Zhao, X., Wang, G., Yang, Z., et al. (2025) · The Journal of Experimental Medicine · doi:10.1084/jem.20240445 · Cited by 51
Unlocking the promise of systemic STING agonist for cancer immunotherapy
Sun, X., Zhou, X., Lei, Y. L., & Moon, J. J. (2023) · Journal of Controlled Release · doi:10.1016/j.jconrel.2023.03.047 · Cited by 48
Tregs in transplantation tolerance: role and therapeutic potential
Cassano, A., Chong, A. S., & Alegre, M. (2023) · Frontiers in Transplantation · doi:10.3389/frtra.2023.1217065 · Cited by 45
Exhausted T cells hijacking the cancer-immunity cycle: Assets and liabilities
Brunell, A. E., Lahesmaa, R., Autio, A. K., & Thotakura, A. K. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1151632 · Cited by 46
The HIF Axes in Cancer - Angiogenesis, Metabolism and Immune-Modulation
Acuña-Pilarte, K., & Koh, M. Y. (2025) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2025.06.005 · Cited by 64
Tumor-associated macrophages and CD8+ T cells: dual players in the pathogenesis of HBV-related HCC
Khan, M. N., Mao, B., Hu, J., Shi, M., Wang, S., Rehman, A. U., & Li, X. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1472430 · Cited by 41
Immunometabolism of regulatory T cells in cancer
Saravia, J., & Chi, H. (2025) · Oncogene · doi:10.1038/s41388-025-03458-1 · Cited by 43
The Interplay between T Cells and Cancer: The Basis of Immunotherapy
Chen, C., Liu, X., Chang, C., Wang, H. Y., & Wang, R. (2023) · Genes · doi:10.3390/genes14051008 · Cited by 42
Tumor microenvironment diversity and plasticity in cancer multidrug resistance
Li, Z., & Yin, P. (2023) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2023.188997 · Cited by 43
Metal–Organic Framework Nanocomposites in Conquering Hypoxia for Tumor Therapy
Zhou, S., Jia, F., Wei, Y., Du, J., Liu, J., Dong, W., Sui, J., Xue, W., Yang, Y., Chen, L., et al. (2024) · Advanced Functional Materials · doi:10.1002/adfm.202314012 · Cited by 40
Bromley, J. D., Ganchua, S. K. C., Nyquist, S. K., Maiello, P. A., Chao, M. C., Borish, H. J., Rodgers, M., Tomko, J. A., Kracinovsky, K. B., Mugahid, D., et al. (2024) · Immunity · doi:10.1016/j.immuni.2024.08.002 · Cited by 42
Mitochondrial Metabolism in T-Cell Exhaustion
Li, F., Yu, F., Yin, Z., & Wang, Y. J. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26157400 · Cited by 42
The development of CD8 T-cell exhaustion heterogeneity and the therapeutic potentials in cancer
Zhang, J., Lei, F., & Tan, H. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1166128 · Cited by 39
Beckabir, W., Zhou, M., Lee, J. S., Vensko, S. P., II, Woodcock, M. G., Wang, H., Wobker, S. E., Atassi, G., Wilkinson, A. D., Fowler, K. A., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-48480-1 · Cited by 35
Oxidative-stress-induced telomere instability drives T cell dysfunction in cancer
Rivadeneira, D. B., Thosar, S. A., Quann, K., Gunn, W. G., Dean, V. G., Xie, B., Parise, A. M., McGovern, A. C., Spahr, K., Lontos, K., et al. (2025) · Immunity · doi:10.1016/j.immuni.2025.08.008 · Cited by 37
Self-citationTargeting the epigenome to reinvigorate T cells for cancer immunotherapy
Xiong, D., Zhang, L., & Sun, Z. (2023) · Military Medical Research · doi:10.1186/s40779-023-00496-2 · Cited by 35
Learning from the nexus of autoimmunity and cancer
Mangani, D., Yang, D., & Anderson, A. C. (2023) · Immunity · doi:10.1016/j.immuni.2023.01.022 · Cited by 33
Sadozai, H., Acharjee, A., Kayani, H. Z., Gruber, T., Gorczynski, R. M., & Burke, B. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1360629 · Cited by 32
Zhang, T., Lv, Q., & Jin, W. (2024) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2024.189137 · Cited by 36
Hypoxic tumor microenvironment: Destroyer of natural killer cell function
Zhang, Y., Guo, F., & Wang, Y. (2024) · Chinese Journal of Cancer Research · doi:10.21147/j.issn.1000-9604.2024.02.04 · Cited by 32
Chen, Z., Zhu, Z., Hu, T., Yao, C., & Wu, T. (2025) · Cellular and Molecular Immunology · doi:10.1038/s41423-025-01378-4 · Cited by 37
Shafqat, A., Omer, M. H., Ahmed, E. N., Mushtaq, A. H., Ijaz, E., Ahmed, Z., AlKattan, K. M., & Yaqinuddin, A. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1200941 · Cited by 32
Zhao, X., Zheng, Y., Liu, Y., Li, Y., Lin, Z., Li, H., Zhang, J., Zhao, M., Zhang, K., Li, Y., et al. (2024) · ACS Nano · doi:10.1021/acsnano.4c10688 · Cited by 28
Angeli, S., Neophytou, C., Kalli, M., Stylianopoulos, T., & Mpekris, F. (2025) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2025.1564626 · Cited by 34
Wei, G., Li, B., Huang, M., Lv, M., Liang, Z., Zhu, C., Ge, L., & Chen, J. (2025) · MedComm · doi:10.1002/mco2.70372 · Cited by 26
Tumor-intrinsic metabolic reprogramming and how it drives resistance to anti-PD-1/PD-L1 treatment
Laubach, K., Turan, T., Mathew, R. S., Wilsbacher, J. L., Engelhardt, J., & Samayoa, J. A. (2023) · Cancer Drug Resistance · doi:10.20517/cdr.2023.60 · Cited by 27
Metabolic plasticity of T cell fate decision
Pan, X., Wang, J., Zhang, L., Li, G., & Huang, B. (2023) · Chinese Medical Journal · doi:10.1097/cm9.0000000000002989 · Cited by 26
Current advances in modulating tumor hypoxia for enhanced therapeutic efficacy
Liu, Z., Liu, X., Zhang, W., Gao, R., Wei, H., & Yu, C. (2024) · Acta Biomaterialia · doi:10.1016/j.actbio.2024.01.010 · Cited by 26
CD39 transforming cancer therapy by modulating tumor microenvironment
Xu, S., Ma, Y., Jiang, X., Wang, Q., & Ma, W. (2024) · Cancer Letters · doi:10.1016/j.canlet.2024.217072 · Cited by 24
T cell exhaustion and senescence for ovarian cancer immunotherapy
Zhao, J., Wang, Z., Tian, Y., Ning, J., & Ye, H. (2024) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2024.07.001 · Cited by 26
Phenotypic and spatial heterogeneity of CD8+ tumour infiltrating lymphocytes
Sun, Y., Yinwang, E., Wang, S., Wang, Z., Wang, F., Xue, Y., Zhang, W., Zhao, S., Mou, H., Chen, S., et al. (2024) · Molecular Cancer · doi:10.1186/s12943-024-02104-w · Cited by 29
Yan, H., Jiang, A., Huang, Y., Zhang, J., Yang, W., Zhang, W., & Liu, T. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1265914 · Cited by 24
Yang, G., Cai, S., Hu, M., Li, C., Yang, L., Zhang, W., Sun, J., Sun, F., Xing, L., & Sun, X. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-023-04839-4 · Cited by 24
Sun, K., Wei, X., Han, S., Sun, Y., Xiao, H., & Wei, D. (2025) · ACS Nano · doi:10.1021/acsnano.5c00691 · Cited by 24
Ager, C. R., Zhang, M., Chaimowitz, M. G., Bansal, S., Tagore, S., Obradović, A., Jugler, C., Rogava, M., Melms, J. C., McCann, P., et al. (2023) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2023-006782 · Cited by 23
CD38–RyR2 axis–mediated signaling impedes CD8 + T cell response to anti-PD1 therapy in cancer
Kar, A., Ghosh, P., Gautam, A., Chowdhury, S., Basak, D., Sarkar, I., Bhoumik, A., Barman, S., Chakraborty, P., Mukhopadhyay, A., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2315989121 · Cited by 23
Overview of the role of purinergic signaling and insights into its role in cancer therapy
Virgilio, F. D., Vultaggio-Poma, V., Tarantini, M., & Giuliani, A. L. (2024) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2024.108700 · Cited by 25
Huang, T., Ren, X., Tang, X., Wang, Y., Ji, R., Guo, Q., Ma, Q., Zheng, Y., Hu, Z., & Zhou, Y. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1427380 · Cited by 28
Nanomaterials Enhance Pyroptosis-Based Tumor Immunotherapy
Ji, F., Shi, C., Shu, Z., & Li, Z. (2024) · International Journal of Nanomedicine · doi:10.2147/ijn.s457309 · Cited by 22
Luo, Y., Chen, M., Zhang, T., & Peng, Q. (2024) · Colloids and Surfaces B Biointerfaces · doi:10.1016/j.colsurfb.2024.114074 · Cited by 21
Yu, M., Yu, H., Wang, H., Xu, X., Sun, Z., Chen, W., Yu, M., Liu, C., Jiang, M., & Zhang, X. (2024) · International Journal of Oncology · doi:10.3892/ijo.2024.5688 · Cited by 26
Sugiyarto, G., Lau, D., Hill, S. L., Arcia, D., Boulanger, D. S. M., Parkes, E. E., James, E., & Elliott, T. J. (2023) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2023-007114 · Cited by 22
El‐Shafai, N. M., Mostafa, Y. S., Ramadan, M. S., & El‐Mehasseb, I. M. (2023) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2023.107028 · Cited by 21
TCR-T cell therapy for solid tumors: challenges and emerging solutions
He, W., Cui, K., Farooq, M. A., Huang, N., Zhu, S., Jiang, D., Zhang, X., Chen, J., Liu, Y., & Xu, G. (2025) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1493346 · Cited by 22
Flexocatalysis Enhances Tumor Photodynamic Therapy
Li, A., Xu, L., Jia, Y., Yuan, M., Zhang, J., Liu, H. F., Liu, S., Zhu, Y., Wei, X., Tu, W., et al. (2024) · Small · doi:10.1002/smll.202310964 · Cited by 19
Passelli, K., Repáraz, D., Kinj, R., & Herrera, F. G. (2024) · British Journal of Radiology · doi:10.1093/bjr/tqae100 · Cited by 18
Yang, Z., Zuo, H., Hou, Y., Zhou, S., Zhang, Y., Yang, W., He, J., Shen, X., & Peng, Q. (2024) · Small · doi:10.1002/smll.202406860 · Cited by 19
Shen, Y., Qiu, Y., Duan, Z., Li, Y.-X., Wang, Y., Zhang, Y., Zhu, B., Yu, X.-H., Tan, X., Chen, W., et al. (2024) · Pharmacological Research · doi:10.1016/j.phrs.2024.107122 · Cited by 19
Circulating tumor-reactive KIR+CD8+ T cells suppress anti-tumor immunity in patients with melanoma
Lu, B. Y., Lucca, L. E., Lewis, W., Wang, J., Nogueira, C. V., Heer, S., Rayon-Estrada, V., Axisa, P., Reeves, S., Buitrago-Pocasangre, N., et al. (2024) · Nature Immunology · doi:10.1038/s41590-024-02023-4 · Cited by 20
Deng, Y., Li, J., Tao, R., Zhang, K., Yang, R. L., Qu, Z., Zhang, Y., & Huang, J. (2024) · Advanced Science · doi:10.1002/advs.202308051 · Cited by 17
Xiang, S., Zhan, H., Zhan, J., Li, X., Lin, X., & Sun, W. (2025) · International Journal of Pharmaceutics X · doi:10.1016/j.ijpx.2025.100400 · Cited by 16
Shi, K., Fu, W., Sabet, Z. F., Ye, J., Liang, S., Liu, T., Liu, Q., Guo, M., You, M., Wu, J., et al. (2024) · ACS Nano · doi:10.1021/acsnano.4c07603 · Cited by 17
Xu, R., Lin, P., Zheng, J., Lin, Y., Mai, Z., Lu, Y., Xu, C., Zhou, Z., Li, C., & Zhao, X. (2024) · Materials Today Bio · doi:10.1016/j.mtbio.2024.101386 · Cited by 16
Genomic and the tumor microenvironment heterogeneity in multifocal hepatocellular carcinoma
Yang, Y., Ni, Q., Li, H., Sun, J., Zhou, X., Qu, L., Wang, L., Zhao, C., & Zhang, X. (2024) · Hepatology · doi:10.1097/hep.0000000000001191 · Cited by 18
In vivo clinical molecular imaging of T cell activity
Cheng, X., Shen, J., Xu, J., Zhu, J., Xu, P., Wang, Y., & Gao, M. (2023) · Trends in Immunology · doi:10.1016/j.it.2023.10.002 · Cited by 15
Zhang, Q.-W., Zhu, M., Liu, W., Rui, W., Chen, Y., Ding, X., Jiang, Y., Wu, Z., & Liu, B. (2024) · Translational Oncology · doi:10.1016/j.tranon.2024.101954 · Cited by 15
Xue, Y., Wang, Q., Chen, Y., Zhang, X., Tang, J., Liu, Y., & Liu, J. (2025) · Advanced Healthcare Materials · doi:10.1002/adhm.202403998 · Cited by 14
Myeloid cells meet CD8+ T cell exhaustion in cancer: What, why and how
Zhai, Y., Liang, X., & Deng, M. (2024) · Chinese Journal of Cancer Research · doi:10.21147/j.issn.1000-9604.2024.06.04 · Cited by 14
Li, Y., & Wang, L. (2026) · Immunology · doi:10.1111/imm.70103 · Cited by 18
Nagy, M. Z., Plaza-Rojas, L., Boucher, J. C., Kostenko, E., Austin, A. L., Tarhini, A. A., Chen, Z., Du, D., Ojwang’, A. M. E., Davis, J. S., et al. (2025) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2024-010153 · Cited by 13
Feng, L., Yuan, Q., Yu, H., Ye, R., Xie, Z., Xu, J., Li, X.-D., & Wang, S. (2025) · Discover Oncology · doi:10.1007/s12672-025-02970-w · Cited by 14
Gzmk+ CD8 T cells in inflammatory diseases
Cui, X., Liu, P., Zhan, Q., & Cao, W. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1661755 · Cited by 13
Chen, S., Li, M., Zhang, Y., Dong, Y., Wu, J., Li, L., Guo, X., Liu, X., Hou, J., & Zhou, S. (2025) · Science Advances · doi:10.1126/sciadv.adw4212 · Cited by 13
Associations between HIFs and tumor immune checkpoints: mechanism and therapy
Liu, J., Jiang, Y., Chen, L., Qian, Z., & Zhang, Y. (2024) · Discover Oncology · doi:10.1007/s12672-023-00836-7 · Cited by 13
Fang, M., Zheng, J., Wang, J., Zheng, C. Y., Leng, X., Wen, E., Li, P., Ran, H., Zhang, L., & Wang, Z. (2024) · Biomaterials Research · doi:10.34133/bmr.0028 · Cited by 13
Zhu, Q., Yang, Y., Zeng, Y., Chen, K., Zhang, Q., Wang, L., Huang, Y., & Jian, S. (2024) · International Immunopharmacology · doi:10.1016/j.intimp.2024.112447 · Cited by 13
Chen, N., Li, Z., Liu, H., Jiang, A., Zhang, L., Yan, S., He, W., Yang, J., & Liu, T. (2025) · Bioactive Materials · doi:10.1016/j.bioactmat.2025.03.003 · Cited by 14
Metadata
- Authors
- Vignali, P. D. A., DePeaux, K., Watson, M. J., Ye, C., Ford, B. R., Lontos, K., McGaa, N. K., Scharping, N. E., Menk, A. V., Robson, S. C., Poholek, A. C., Rivadeneira, D. B., & Delgoffe, G. M.
- Affiliations
- University of Pittsburgh (US)
- University of Pittsburgh Medical Center (US)
- UPMC Hillman Cancer Center (US)
- Beth Israel Deaconess Medical Center (US)
- Corresponding author
- Delgoffe, Greg M.
- ORCID
- Venue
- Nature Immunology
- Published
- 2022-12-21
- Volume
- 24
- Issue
- 2
- Pages
- 267-279
- ISSN
- 1529-2908 (ISSN-L)
- 1529-2916
- PMC
- PMC10402660
- OpenAlex
- W4312095486
- Cited by
- 269
- References
- 52
- Citations by year
- 2026: 49 · 2025: 86 · 2024: 85 · 2023: 49
- FWCI
- 23.21
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature Immunology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Cancer Research Institute
- Alliance for Cancer Gene Therapy
- University of Pittsburgh (T32CA082084, P30 CA047904)
- National Institutes of Health (SU2C-AACR-IRG-04-16)
- Stand Up To Cancer (SU2C-AACR-IRG-04-16)
- Center for Research Computing, University of Pittsburgh
- National Cancer Institute (F99CA222711, F31CA247129, P50CA121973, F30CA247034, K00CA222711, T32CA082084, P50CA097190, P30CA047904, R01CA277473)
- National Institute of General Medical Sciences (T32GM008208)
- National Institute of Allergy and Infectious Diseases (F31AI149971, DP2AI136598, R01AI171483, R01AI166598)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Physiology › Adenosine and Purinergic Signaling
- Keywords
- CD39, tumor hypoxia, exhausted T cells, CD8+ T cells, regulatory T cells, Foxp3, adenosine, immunosuppression, tumor microenvironment, immunotherapy resistance, checkpoint blockade, tumor progression, T cell proliferation inhibition
- MeSH terms
- Hypoxia, Apyrase, Humans, Neoplasms, Antigens, CD, CD8-Positive T-Lymphocytes, T-Lymphocytes, Regulatory, Tumor Microenvironment
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