The DOI matches its Crossref record; 44 of the 45 references it cites were found in a registry or an index.
Cholesterol Induces CD8+ T Cell Exhaustion in the Tumor Microenvironment
Open accessAbstract
Tumor-infiltrating T cells often lose their effector function; however, the mechanisms are incompletely understood. We report that cholesterol in the tumor microenvironment induces CD8+ T cell expression of immune checkpoints and exhaustion. Tumor tissues enriched with cholesterol and cholesterol content in tumor-infiltrating CD8+ T cells were positively and progressively associated with upregulated T cell expression of PD-1, 2B4, TIM-3, and LAG-3. Adoptively transferred CD8+ T cells acquired cholesterol, expressed high levels of immune checkpoints, and became exhausted upon entering a tumor. Tumor culture supernatant or cholesterol induced immune checkpoint expression by increasing endoplasmic reticulum (ER) stress in CD8+ T cells. Consequently, the ER stress sensor XBP1 was activated and regulated PD-1 and 2B4 transcription. Inhibiting XBP1 or reducing cholesterol in CD8+ T cells effectively restored antitumor activity. This study reveals a mechanism underlying T cell exhaustion and suggests a new strategy for restoring T cell function by reducing cholesterol to enhance T cell-based 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
“Even though both oxidative and ER stress have been shown to contribute to T cell dysfunction across different tumor types (44-51),”
From Bile acid synthesis impedes tumor-specific T cell responses during liver cancer (2025) · cites this paper as [44]
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
Cancer immunotherapy using checkpoint blockade
Ribas, A., & Wolchok, J. D. (2018) · Science · doi:10.1126/science.aar4060 · Cited by 6,791
Wherry, E. J. (2011) · Nature Immunology · doi:10.1038/ni.2035 · Cited by 4,062 · cited 13×
“Tumor-infiltrating CD8+ T cells are associated with progressive loss of effector function due to prolonged antigen exposure and a suppressive tumor microenvironment (Wherry, 2011).”
InfluentialCTLA-4 and PD-1 Pathways: Similarities, Differences, and Implications of Their Inhibition
Buchbinder, E. I., & Desai, A. (2016) · American Journal of Clinical Oncology · doi:10.1097/coc.0000000000000239 · Cited by 2,360 · cited 1×
“, the combination of anti-PD-1 with anti-CTLA-4 (Buchbinder and Desai, 2016; Duraiswamy et al., 2013; Dyck and Mills, 2017), anti-PD-1 with anti-TIM-3 (Sakuishi et al.”
Targeting Tim-3 and PD-1 pathways to reverse T cell exhaustion and restore anti-tumor immunity
Sakuishi, K., Apetoh, L., Sullivan, J. M., Blazar, B. R., Kuchroo, V. K., & Anderson, A. C. (2010) · Journal of Experimental Medicine · doi:10.1084/jem.20100643 · Cited by 2,072
Woo, S.-R., Turnis, M. E., Goldberg, M. V., Bankoti, J., Selby, M., Nirschl, C. J., Bettini, M. L., Gravano, D. M., Vogel, P., Liu, C. L., et al. (2012) · Cancer Research · doi:10.1158/0008-5472.can-11-1620 · Cited by 1,647
Molecular and Biochemical Aspects of the PD-1 Checkpoint Pathway
Boussiotis, V. A. (2016) · New England Journal of Medicine · doi:10.1056/nejmra1514296 · Cited by 1,372
Foxp3 Reprograms T Cell Metabolism to Function in Low-Glucose, High-Lactate Environments
Angelin, A., Gil‐de‐Gómez, L., Dahiya, S., Jiao, J., Guo, L., Levine, M. H., Wang, Z., Quinn, W. J., Kopinski, P. K., Wang, L., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2016.12.018 · Cited by 1,304
VEGF-A modulates expression of inhibitory checkpoints on CD8+ T cells in tumors
Voron, T., Colussi, O., Marcheteau, E., Pernot, S., Nizard, M., Pointet, A.-L., Latreche, S., Bergaya, S., Benhamouda, N., Tanchot, C., et al. (2015) · Journal of Experimental Medicine · doi:10.1084/jem.20140559 · Cited by 1,179
Statin use and reduced cancer-related mortality
Nielsen, S. F., Nordestgaard, B. G., & Bojesen, S. E. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1201735 · Cited by 1,030
Potentiating the antitumour response of CD8+ T cells by modulating cholesterol metabolism
Yang, W., Bai, Y., Xiong, Y., Zhang, J., Chen, S., Zheng, X., Meng, X., Li, L., Wang, J., Xu, C., et al. (2016) · Nature · doi:10.1038/nature17412 · Cited by 1,010
Flagged first, then by citations
1 of the 45 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 301–400 of 1,000
Immunotherapy in melanoma: advances, pitfalls, and future perspectives
Sorino, C., Iezzi, S., Ciuffreda, L., & Falcone, I. (2024) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2024.1403021 · Cited by 34
Lin, Z., Hua, G., & Hu, X. (2024) · Cancer Cell International · doi:10.1186/s12935-024-03481-4 · Cited by 31
Liver-resident memory T cells: life in lockdown
Pallett, L. J., & Maini, M. K. (2022) · Seminars in Immunopathology · doi:10.1007/s00281-022-00932-w · Cited by 28
The solid tumor microenvironment and related targeting strategies: a concise review
Wang, Y., Zhou, H., Ju, S., Dong, X., & Zheng, C. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1563858 · Cited by 35
Self-citationZFP91 disturbs metabolic fitness and antitumor activity of tumor-infiltrating T cells
Wang, F., Zhang, Y., Yu, X., Teng, X.-L., Ding, R., Hu, Z., Wang, A., Wang, Z., Ye, Y., & Zou, Q. (2021) · Journal of Clinical Investigation · doi:10.1172/jci144318 · Cited by 28
Metabolic Control of Memory T-Cell Generation and StemnessPreprint
Raynor, J. L., Chapman, N. M., & Chi, H. (2021) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a037770 · Cited by 28
Sun, S., Xu, H., Zhao, W., Li, Q., Yuan, Y., Zhang, G., Li, S., Wang, B., Zhang, W., Gao, X., et al. (2023) · Cancer Letters · doi:10.1016/j.canlet.2023.216511 · Cited by 28
Katopodi, T., Petanidis, S., Anestakis, D., Charalampidis, C., Chatziprodromidou, I. P., Floros, G., Eskitzis, P., Zarogoulidis, P., Koulouris, C., Sevva, C. D., et al. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1325360 · Cited by 28
Oncometabolites in cancer: from cancer cells to the tumor microenvironment
Chen, L., & Huang, M. (2024) · Holistic Integrative Oncology · doi:10.1007/s44178-024-00096-7 · Cited by 28
Inhibition of PCSK9: A Promising Enhancer for Anti-PD-1/PD-L1 Immunotherapy
Sun, S., Ma, J., Zuo, T., Shi, J., Sun, L., Meng, C., Shu, W., Yang, Z., Yao, H., & Zhang, Z. (2024) · Research · doi:10.34133/research.0488 · Cited by 28
Tumor Metabolic Reprogramming and Ferroptosis: The Impact of Glucose, Protein, and Lipid Metabolism
Zhu, K., Cai, Y., Lan, L., & Luo, N. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252413413 · Cited by 33
Gui, L., Chen, K., Yan, J., Chen, P., Gao, W., & Ma, B. (2025) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101913 · Cited by 29
Dysregulation of cholesterol homeostasis in cancer pathogenesis
Mordzińska-Rak, A., Verdeil, G., Hamon, Y., Błaszczak, E., & Trombik, T. (2025) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-025-05617-9 · Cited by 30
Zhang, T., Hu, W., & Chen, W. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.613185 · Cited by 27
Liu, Y., Fang, L., & Liu, W. (2021) · Cancer Management and Research · doi:10.2147/cmar.s305719 · Cited by 27
Endoplasmic Reticulum Quality Control in Immune Cells
Jiang, Y., Tao, Z., Chen, H., & Xia, S. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.740653 · Cited by 27
Weng, J., Chen, L., Liu, H., Yang, X., & Huang, L. (2022) · Inflammation · doi:10.1007/s10753-021-01609-6 · Cited by 27
Metabolic features of innate lymphoid cells
Yu, H., Jacquelot, N., & Belz, G. T. (2022) · The Journal of Experimental Medicine · doi:10.1084/jem.20221140 · Cited by 31
Myeloid-derived suppressor cells deficient in cholesterol biosynthesis promote tumor immune evasion
Chen, Y., Xu, Y., Zhao, H., Zhou, Y., Zhang, J., Lei, J., Wu, L., Zhou, M., Wang, J., Yang, S., et al. (2023) · Cancer Letters · doi:10.1016/j.canlet.2023.216208 · Cited by 27
Lipid metabolism and tumor immunotherapy
Wang, Y., Guo, Z., Danbala, I. A., Chen, S., Ren, Y., & Cai, H. (2023) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2023.1187989 · Cited by 27
T-cell Cholesterol Accumulation, Aging, and Atherosclerosis
Bazioti, V., Halmos, B., & Westerterp, M. (2023) · Current Atherosclerosis Reports · doi:10.1007/s11883-023-01125-y · Cited by 27
Metabolic checkpoints and novel approaches for immunotherapy against cancer
Li, Y., Tang, J., Jiang, J., & Chen, Z. (2021) · International Journal of Cancer · doi:10.1002/ijc.33781 · Cited by 29
Metabolic immunoengineering approaches to enhance CD8+ T cell-based cancer immunotherapy
Feng, B., Li, R., Li, W., & Tang, L. (2024) · Cell Systems · doi:10.1016/j.cels.2024.11.010 · Cited by 27
The cholesterol 24-hydroxylase CYP46A1 promotes α-synuclein pathology in Parkinson’s disease
Dai, L., Wang, J., Meng, L., Zhang, X., Xiao, T., Deng, M., Chen, G., Xiong, J., Ke, W., Hong, Z., et al. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3002974 · Cited by 26
He, J. N., Gao, Y., Sun, Z., & Liu, S. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1529403 · Cited by 26
Feng, X., Zhang, J., Yu, B., An, W., & Jin, X. (2025) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2025.104881 · Cited by 26
Evolution of Molecular Targets in Melanoma Treatment
Tran, K. B., Buchanan, C. M., & Shepherd, P. R. (2020) · Current Pharmaceutical Design · doi:10.2174/1381612826666200130091318 · Cited by 26
Qian, C., & Cao, X. (2021) · Cellular and Molecular Immunology · doi:10.1038/s41423-021-00709-5 · Cited by 26
Mechanisms of induction of tumors by cholesterol and potential therapeutic prospects
Yang, X., Yani, Z., Jing, M., Wu, Y., Xiaohui, H., Jing, Z., Quan, Q., & Han, S. (2021) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2021.112277 · Cited by 26
Metabolic Pathways and Targets in Chondrosarcoma
Micaily, I., Roche, M. E., Ibrahim, M., Martinez‐Outschoorn, U., & Mallick, A. B. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.772263 · Cited by 29
Krug, A., Martinez-Turtos, A., & Verhoeyen, E. (2021) · Cancers · doi:10.3390/cancers14010183 · Cited by 28
Ao, Y.-Q., Gao, J., Zhang, L.-X., Deng, J., Wang, S., Lin, M., Wang, H., Ding, J., & Jiang, J.-H. (2023) · BMC Cancer · doi:10.1186/s12885-023-10836-z · Cited by 29
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
Establishment and validation of exhausted CD8+ T cell feature as a prognostic model of HCC
Shi, J., Li, G., Liu, L., Yuan, X., Wang, Y., Gong, M., Li, C., Ge, X., & Lu, S. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1166052 · Cited by 28
Self-citationLopresti, L., Tatangelo, V., Baldari, C. T., & Patrussi, L. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1418527 · Cited by 27
Zhou, X., Chen, Z., Yu, Y., Li, M., Cao, Y., Prochownik, E. V., & Li, Y. (2024) · Advanced Science · doi:10.1002/advs.202403629 · Cited by 26
Endoplasmic reticulum stress: A key player in immune cell regulation and autoimmune disorders.
Moreews, M., & Karlsson, M. C. I. (2025) · Seminars in Immunology · doi:10.1016/j.smim.2025.101954 · Cited by 20
Current Advances and Challenges in CAR-T Therapy for Hematological and Solid Tumors
Zhang, G., Bai, M., Du, H., Yuan, Y., Wang, Y., Fan, W., Zhu, H., Wu, D., He, P., & Xue, B. (2025) · ImmunoTargets and Therapy · doi:10.2147/itt.s519616 · Cited by 26
Tong, J., Mao, Y., Yang, Z., Xu, Q., Zheng, Z., Zhang, H., Wang, J., Zhang, S., Rong, W., & Zheng, L. (2021) · Cancer Management and Research · doi:10.2147/cmar.s304022 · Cited by 25
Chen, P., Zhong, C., Jin, S., Zhang, Y., Li, Y., Xia, Q., Cheng, J., Fan, X., & Lin, H. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.884030 · Cited by 25
Ogier, C., Mercy, C. S. A., Bondarenko, E., Wu, Z., Lu, Z., Bui, Q. T., Dhamdhere, M. R., Tang, Y., Recoules, L., Klochkova, A., et al. (2026) · Nature Cancer · doi:10.1101/2023.09.15.557802 · Cited by 25
Regulating Cholesterol in Tumorigenesis: A Novel Paradigm for Tumor Nanotherapeutics
Wu, H., Wu, X., Zhao, M., Yan, J., Li, C., Zhang, Z., Tang, S., Wang, R., & Fei, W. (2024) · International Journal of Nanomedicine · doi:10.2147/ijn.s439828 · Cited by 26
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
Metabolic Dynamics of In Vitro CD8+ T Cell Activation
Edwards-Hicks, J., Mitterer, M., Pearce, E. L., & Buescher, J. M. (2020) · Metabolites · doi:10.3390/metabo11010012 · Cited by 25
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
Targeting metabolism to improve CAR-T cells therapeutic efficacy
Liu, S., Zhao, Y., Gao, Y., Li, F., & Zhang, Y. (2024) · Chinese Medical Journal · doi:10.1097/cm9.0000000000003046 · Cited by 24
T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities
Yang, Y. P., Yao, X., Wang, Q., Yang, M., Li, R., Qin, J., Zhuang, J., & Sun, C. (2026) · Advanced Science · doi:10.1002/advs.202520634 · Cited by 27
Self-citationLipid metabolism reprogramming shapes the immune landscape in the tumor microenvironment
Du, Y., Cai, Z.-R., Duan, X.-T., Li, X., Yue, T., Tian, T., Li, J.-J., & Ju, H. (2026) · Cellular and Molecular Immunology · doi:10.1038/s41423-026-01411-0 · Cited by 24
Sun, H., Meng, W., Zhu, J., & Wang, L. (2022) · Naunyn-Schmiedeberg s Archives of Pharmacology · doi:10.1007/s00210-022-02200-y · Cited by 24
Zhang, L., Pan, K., Huang, S., Zhang, X., Zhu, X., He, Y., Chen, X., Tang, Y., Yuan, L., & Yu, D. (2023) · International Journal of Nanomedicine · doi:10.2147/ijn.s392998 · Cited by 24
Zhang, X., Cao, Z., Song, C., Wei, Z., Zhou, M., Chen, S., Ran, J., Zhang, H., Zou, H., Han, S., et al. (2023) · Advanced Healthcare Materials · doi:10.1002/adhm.202300018 · Cited by 24
Zhu, L., Shi, Y., Feng, Z., Yuan, D., Guo, S., Wang, Y., Shen, H., Li, Y., Yan, F., & Wang, Y. (2024) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2024.176519 · Cited by 23
From MASLD to HCC: What's in the middle?
Provera, A., Vecchio, C., Sheferaw, A. N., Stoppa, I., Pantham, D., Dianzani, U., & Sutti, S. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e35338 · Cited by 26
Focusing on CD8+ T-cell phenotypes: improving solid tumor therapy
Yao, Z., Zeng, Y., Liu, C., Jin, H., Wang, H., Zhang, Y., Ding, C., Chen, G., & Wu, D. (2024) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-024-03195-5 · Cited by 27
Emmanuelli, A., Salvagno, C., Hwang, S., Awasthi, D., Sandoval, T. A., Chae, C.-S., Cheong, J., Tan, C., Iwawaki, T., & Cubillos‐Ruiz, J. R. (2024) · OncoImmunology · doi:10.1080/2162402x.2024.2411070 · Cited by 24
Shen, L., Yang, Z., Zhong, Y., Bi, Y., Yu, J., Lu, Q., Su, Y., Chen, X., Zhao, Z., Shu, G., et al. (2024) · Advanced Science · doi:10.1002/advs.202406975 · Cited by 23
Cholesterol metabolism in tumor immunity: Mechanisms and therapeutic opportunities for cancer
Guo, X., Zhu, B., Li, J., Guo, P., Niu, Y., Shi, J., Yokoyama, W., Huang, Q., & Shao, D. (2025) · Biochemical Pharmacology · doi:10.1016/j.bcp.2025.116802 · Cited by 23
Metabolic mechanisms of immunotherapy resistance
Cabezón‐Gutiérrez, L., Palka-Kotlowska, M., Custodio‐Cabello, S., Chacón-Ovejero, B., & Pacheco-Barcía, V. (2025) · Exploration of Targeted Anti-tumor Therapy · doi:10.37349/etat.2025.1002297 · Cited by 26
The Role of Cholesterol Metabolism and Its Regulation in Tumor Development
Wu, Y., Song, W., Su, M., He, J., Hu, R., & Zhao, Y. (2025) · Cancer Medicine · doi:10.1002/cam4.70783 · Cited by 23
Molecular Chaperones: Molecular Assembly Line Brings Metabolism and Immunity in Shape
Zhao, H., Raines, L. N., & Huang, S. C. (2020) · Metabolites · doi:10.3390/metabo10100394 · Cited by 24
Ferroptosis at the crossroads of tumor-host interactions, metastasis, and therapy response
Yao, Y., Shi, Y., Gao, Z., Sun, Y., Yao, F., & Ma, L. (2022) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00148.2022 · Cited by 23
Lipids for CD8+ TILs: Beneficial or harmful?
Wu, D., & Chen, Y. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1020422 · Cited by 24
Yang, J., He, J., Feng, Y., & Xiang, M. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1166440 · Cited by 25
Jin, J., Zhao, Q., Wei, Z., Chen, K., Su, Y., Hu, X., & Peng, X. (2023) · Cell & Bioscience · doi:10.1186/s13578-023-01138-9 · Cited by 23
CD36 pumps fat to defang killer T cells in tumors
Subramanian, M., & Marelli‐Berg, F. M. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.07.004 · Cited by 23
Antitumor T‐cell function requires CPEB4‐mediated adaptation to chronic endoplasmic reticulum stress
Fernández‐Alfara, M., Sibilio, A., Martín, J., Uxó, E. T., Malumbres, M., Alcalde, V., Chanes, V., Cañellas-Socias, A., Palomo‐Ponce, S., Batlle, E., et al. (2023) · The EMBO Journal · doi:10.15252/embj.2022111494 · Cited by 22
Leveraging altered lipid metabolism in treating B cell malignancies
Lee, J. W., Mani, A., Shin, M., & Krauss, R. M. (2024) · Progress in Lipid Research · doi:10.1016/j.plipres.2024.101288 · Cited by 23
Zha, C., Yang, X., Yang, J., Zhang, Y., & Huang, R. (2024) · Annals of Hematology · doi:10.1007/s00277-024-06117-9 · Cited by 23
Targeting lipid metabolism via nanomedicine: A prospective strategy for cancer therapy
Huang, X., Hou, S., Li, Y., Xu, G., Xia, N., Duan, Z., Luo, K., & Tian, B. (2024) · Biomaterials · doi:10.1016/j.biomaterials.2024.123022 · Cited by 23
Shi, Y., Cao, X., Ye, Z., Xu, Y., Wang, Y., Li, Z., Hang, W., & He, N. (2021) · Aquaculture · doi:10.1016/j.aquaculture.2021.736631 · Cited by 22
Interplay of Immunometabolism and Epithelial–Mesenchymal Transition in the Tumor Microenvironment
Chou, M.-Y., & Yang, M. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22189878 · Cited by 23
Self-citationXu, X., Wang, D., Li, N., Sheng, J., Xie, M., Zhou, Z., Cheng, G., & Fan, Y. (2021) · Annals of Surgical Oncology · doi:10.1245/s10434-021-10928-9 · Cited by 22
Formulation of simvastatin within high density lipoprotein enables potent tumour radiosensitisation.
Dehghankelishadi, P., Maritz, M., Dmochowska, N., Badiee, P., Cheah, E., Kempson, I., Berbeco, R., & Thierry, B. (2022) · Journal of Controlled Release · doi:10.1016/j.jconrel.2022.04.017 · Cited by 18
Hang, Y., Liu, Y., Teng, Z., Cao, X., & Zhu, H. (2023) · Journal of Nanobiotechnology · doi:10.1186/s12951-023-01841-2 · Cited by 22
Bis-indole-derived NR4A1 antagonists inhibit colon tumor and splenic growth and T-cell exhaustion
Mohankumar, K., Wright, G. A., Kumaravel, S., Shrestha, R., Zhang, L., Abdelrahim, M., Chapkin, R. S., & Safe, S. H. (2023) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-023-03530-3 · Cited by 24
Liao, L., Xu, H., Zhao, Y., & Zheng, X. (2023) · Frontiers of Medicine · doi:10.1007/s11684-023-1025-7 · Cited by 22
Giansanti, M., Theinert, T., Boeing, S. K., Haas, D., Schlegel, P., Vacca, P., Nazio, F., & Caruana, I. (2023) · Molecular Cancer · doi:10.1186/s12943-023-01893-w · Cited by 24
Pretto, S., Yu, Q., Bourdely, P., Cafarello, S. T., Acker, H. H. V., Verelst, J., Richiardone, E., Vanheer, L., Roshanzadeh, A., Schneppenheim, F., et al. (2025) · Nature Metabolism · doi:10.1038/s42255-025-01233-w · Cited by 21
Chen, S., Zhang, Y., Li, X., Zhang, Y., & Zeng, Y. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1589943 · Cited by 21
Supramolecular Assembly of Triterpenoids: Current State and Biomedical Perspectives
Zhong, J., Rivas, J. C. M., Lan, X., & Su, Y. (2025) · Aggregate · doi:10.1002/agt2.70081 · Cited by 21
Oxidized phospholipid damage signals as modulators of immunity
Choi, J. H., & Kagan, J. C. (2025) · Open Biology · doi:10.1098/rsob.240391 · Cited by 22
Single-intraosseous simvastatin injection suppresses cancers via activating CD8+ T cells
Yuan, W., Ren, X., Zhu, J., Huang, J., Zhang, W., Zhang, C., Guan, Z., Wang, H., Leng, H., & Song, C. (2022) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2022.113665 · Cited by 21
Reprogramming T-Cell Metabolism for Better Anti-Tumor Immunity
Ping, Y., Shen, C., Huang, B., & Zhang, Y. (2022) · Cells · doi:10.3390/cells11193103 · Cited by 22
Metabolic regulation of immune responses to cancer
Wißfeld, J., Werner, A., Yan, X., ten Bosch, N., & Cui, G. (2022) · Cancer Biology and Medicine · doi:10.20892/j.issn.2095-3941.2022.0381 · Cited by 21
Lipid metabolism in tumor-infiltrating T cells: mechanisms and applications
Ke, X., Zou, M.-W., & Xu, C. (2022) · Life Metabolism · doi:10.1093/lifemeta/loac038 · Cited by 21
Song, C., Zhang, X., Cao, Z., Wei, Z., Zhou, M., Wang, Y., Han, S., Cai, Y., & Han, W. (2023) · Chemical Engineering Journal · doi:10.1016/j.cej.2023.142160 · Cited by 21
Lipid metabolism in tumor immunology and immunotherapy
Duong, L. K., Corbali, H. I., Riad, T. S., Ganjoo, S., Nanez, S., Voss, T. A., Barsoumian, H. B., Welsh, J. W., & Cortez, M. A. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1187279 · Cited by 21
Endoplasmic reticulum stress responses and epigenetic alterations in arsenic carcinogenesis
Wadgaonkar, P., Wang, Z., & Chen, F. (2024) · Environmental Pollution · doi:10.1016/j.envpol.2024.123565 · Cited by 21
Lei, X., Xiao, R., Chen, Z., Ren, J., Zhao, W., Tang, W., Wen, K., Zhu, Y., Li, X., Ouyang, S., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2412120121 · Cited by 23
Self-citationThe Identification and Development of a Novel Oncolytic Virus: Alphavirus M1
Cai, J., & Yan, G. (2020) · Human Gene Therapy · doi:10.1089/hum.2020.271 · Cited by 22
Tumor-educated cells in tumor microenvironment: Key drivers of immunotherapy resistance
Zou, J. P., Wang, S., Zhang, Y., Tian, W., Mai, G., Xu, Y., Xiao, W., Graves, E. E., & Wu, F. (2025) · Chinese Journal of Cancer Research · doi:10.21147/j.issn.1000-9604.2025.03.12 · Cited by 20
Viral warfare: unleashing engineered oncolytic viruses to outsmart cancer’s defenses
Omolekan, T. O., Folahan, J. T., Tesfay, M. Z., Mohan, H., Dutta, O., Rahimian, L., Ferdous, K. U., Ghavimi, R., Cios, A., Beng, T. K., et al. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1618751 · Cited by 20
Cheng, C., Lin, H.-C., Chiang, Y.-W., Chang, J., Sie, Z., Yang, B.-L., Lim, K., Peng, C., Ho, A., & Chang, Y.-F. (2020) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-020-02770-x · Cited by 20
Wang, C., Zou, Y., Pan, C., Shao, L., Ding, Z., Zhang, Y., Ye, J., Li, P., Ren, Y., & Zhu, C. (2021) · Annals of Translational Medicine · doi:10.21037/atm-20-1604 · Cited by 20
Lipid Metabolism Regulation Based on Nanotechnology for Enhancement of Tumor Immunity
Tu, B., Gao, Y., Sun, F., Shi, M., & Huang, Y. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.840440 · Cited by 20
Vos, W. G., Lutgens, E., & Seijkens, T. T. P. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2022-005611 · Cited by 20
Feng, H., Wang, T., Ye, J., Yang, Y., Huang, X., Lai, D., Lv, Z., Huang, Y., & Zhang, X. (2022) · Discover Oncology · doi:10.1007/s12672-022-00592-0 · Cited by 20
Zhong, X., Lv, M., Ma, M., Huang, Q., Hu, R., Li, J., Yi, J., Sun, J., & Zhou, X. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.115131 · Cited by 20
Zhan, Y., Tian, F., Fan, W., Li, X., Wang, X., Zhang, H., Hong, X., Wang, X., Cai, L., Song, Y., et al. (2024) · Advanced Science · doi:10.1002/advs.202414100 · Cited by 20
Decoding the crosstalk between mevalonate metabolism and T cell function
Kennewick, K. T., & Bensinger, S. J. (2023) · Immunological Reviews · doi:10.1111/imr.13200 · Cited by 20
Metadata
- Authors
- Ma, X., Bi, E., Lu, Y., Su, P., Huang, C., Liu, L., Wang, Q., Yang, M., Kalady, M. F., Qian, J., Zhang, A., Gupte, A. A., Hamilton, D. J., Zheng, C., & Yi, Q.
- Affiliations
- Houston Methodist (US)
- Wake Forest University Health Sciences (US)
- Cleveland Clinic (US)
- Houston Methodist Research Institute (US)
- Second Hospital of Shandong University (CN)
- Corresponding author
- Yi, Qing
- ORCID
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 30
- Issue
- 1
- Pages
- 143-156.e5
- ISSN
- 1550-4131 (ISSN-L)
- PMC
- PMC7061417
- OpenAlex
- W2941036215
- Cited by
- 1,033
- References
- 45
- Citations by year
- 2026: 176 · 2025: 204 · 2024: 187 · 2023: 169 · 2022: 136 · 2021: 100 · 2020: 47 · 2019: 12
- FWCI
- 31.24
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Keywords
- cholesterol, CD8+ T cell exhaustion, tumor microenvironment, immune checkpoint, PD-1, 2B4, TIM-3, LAG-3, endoplasmic reticulum stress, XBP1, adoptive T cell therapy, antitumor immunity, cholesterol metabolism
- MeSH terms
- Animals, Cholesterol, Flow Cytometry, Humans, Immunotherapy, Melanoma, Experimental, Blotting, Western, CD8-Positive T-Lymphocytes, Immunoprecipitation, Mice, Tumor Microenvironment, Real-Time Polymerase Chain Reaction, Programmed Cell Death 1 Receptor
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