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 401–500 of 1,000
β-hydroxybutyrate enhances the metabolic fitness of CAR T cells in cancer
Liu, S., Guruprasad, P., Ramasubramanian, R., Madhu, B., Paruzzo, L., Han, K., Kelly, A. R., Shestov, A. A., Xu, H. N., Carturan, A., et al. (2026) · Cell · doi:10.1016/j.cell.2026.02.004 · Cited by 19
Martinez-Turtos, A., Paul, R., Grima-Reyes, M., Issaoui, H., Krug, A., Mhaidly, R., Bossowski, J. P., Chiche, J., Marchetti, S., Verhoeyen, E., et al. (2022) · OncoImmunology · doi:10.1080/2162402x.2022.2116844 · Cited by 19
Tang, W., Li, G., Lin, Q., Zhu, Z., Wang, Z., & Wang, Z. (2023) · Journal of Translational Medicine · doi:10.1186/s12967-023-04758-4 · Cited by 20
Bersanelli, M., Cortellini, A., & Buti, S. (2021) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2020.1852872 · Cited by 19
Xu, P., Zhang, X., Chen, K., Zhu, M., Jia, R., Zhou, Q., Yang, J., Dai, J., Jin, Y., & Shi, K. (2023) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-22-0595 · Cited by 19
Modulating lipid metabolism improves tumor immunotherapy
Yu, P., Fan, Q., & Zhang, Y. (2025) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2024-010824 · Cited by 19
The role of CD8+ T-cells in colorectal cancer immunotherapy
He, T., Hu, C., Li, S., Fan, Y., Xie, F., Sun, X., Jiang, Q., Chen, W., Jia, Y., & Li, W. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e33144 · Cited by 20
Heidari‐Foroozan, M., Rezalotfi, A., & Rezaei, N. (2024) · International Reviews of Immunology · doi:10.1080/08830185.2024.2401352 · Cited by 19
Katsuyama, E., Humbel, M., Suárez‐Fueyo, A., Satyam, A., Yoshida, N., Kyttaris, V. C., Tsokos, M., & Tsokos, G. C. (2024) · Nature Communications · doi:10.1038/s41467-024-52617-7 · Cited by 18
Risk factors for gastric cancer: an umbrella review of systematic reviews and meta-analyses
Liang, J., Yuan, H., Quan, C., & Chen, J. Q. (2025) · Frontiers in Oncology · doi:10.3389/fonc.2025.1564575 · Cited by 19
Cancer-associated adipocytes mediate CD8+T cell dysfunction via FGF21-driven lipolysis
Dalangood, S., Hu, C., Yuan, C., Li, X. O., Qiao, W., Li, H., Zhang, R., Li, L., Peng, L., Yu, X., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.116526 · Cited by 18
Wang, X., Wang, J., Wang, Q., Ding, G., Huang, Y., & Feng, Y. (2026) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2026.189536 · Cited by 19
Self-citationObesity-Related Fatty Acid and Cholesterol Metabolism in Cancer-Associated Host Cells
Ye, Y., Sun, X., & Lu, Y. (2020) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.600350 · Cited by 19
Self-citationCheng, T., Zhang, J., Liu, D., Lai, G., & Wen, X. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.646362 · Cited by 18
Metabolic Regulation of CD8 + T Cells: From Mechanism to Therapy
Zheng, Y. Y., Wang, X., & Huang, M. (2022) · Antioxidants and Redox Signaling · doi:10.1089/ars.2022.0040 · Cited by 19
Ligorio, F., Zambelli, L., Fucà, G., Lobefaro, R., Santamaria, M., Zattarin, E., de Braud, F., & Vernieri, C. (2022) · Therapeutic Advances in Medical Oncology · doi:10.1177/17588359221079123 · Cited by 20
Statins and prostate cancer—hype or hope? The biological perspective
Longo, J., Freedland, S. J., Penn, L. Z., & Hamilton, R. J. (2022) · Prostate Cancer and Prostatic Diseases · doi:10.1038/s41391-022-00557-y · Cited by 18
The role of lipid metabolism in cancer radioresistance
An, D., Zhai, D., Wan, C., & Yang, K. (2023) · Clinical & Translational Oncology · doi:10.1007/s12094-023-03134-4 · Cited by 21
Preexisting Immunity Drives the Response to Neoadjuvant Chemotherapy in Esophageal Adenocarcinoma
Arbore, G., Albarello, L., Bucci, G., Punta, M., Cossu, A., Fanti, L., Maurizio, A., Mauro, F. D., Bilello, V., Arrigoni, G., et al. (2023) · Cancer Research · doi:10.1158/0008-5472.can-23-0356 · Cited by 18
Engineering metabolism to modulate immunity
Kapnick, S. M., Martin, C. A., & Jewell, C. M. (2023) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2023.115122 · Cited by 18
Cholesterol and Immune Microenvironment: Path Towards Tumorigenesis
El-Fattah, E. E. A., Michel, R., & Borahay, M. A. (2024) · Current Nutrition Reports · doi:10.1007/s13668-024-00542-y · Cited by 19
Plasma proteome profiling reveals dynamic of cholesterol marker after dual blocker therapy
Lyu, J., Bai, L., Li, Y., Wang, X., Xu, Z., Ji, T., Yang, H., Song, Z., Wang, Z., Shang, Y., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-47835-y · Cited by 19
Duan, Y., Deng, M., Liu, B., Meng, X., Liao, J., Qiu, Y., Wu, Z., Lin, J., Dong, Y., Duan, Y., et al. (2024) · Biomaterials · doi:10.1016/j.biomaterials.2024.122609 · Cited by 18
Lu, Y., Xie, X., & Luo, L. (2024) · APOPTOSIS · doi:10.1007/s10495-024-01997-8 · Cited by 20
Self-citationA Forgotten Corner in Cancer Immunotherapy: The Role of Lipids
Yu, Y., Gao, L., Wang, Y., Xu, B., Maswikiti, E. P., Li, H., Peng, Z., Tao, P., Xiang, L., Gu, B., et al. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.751086 · Cited by 18
‘Know thyself’ – host factors influencing cancer response to immune checkpoint inhibitors
Gunjur, A., Manrique-Rincón, A., Klein, O., Behren, A., Lawley, T. D., Welsh, S. J., & Adams, D. J. (2022) · The Journal of Pathology · doi:10.1002/path.5907 · Cited by 18
Yang, Y.-Q., Wang, S.-J., Wang, X.-X., Guo, S., Wang, H., Shi, Q., Tian, Y., Wang, H., Zhao, T., Zhang, H., et al. (2024) · Cell Communication and Signaling · doi:10.1186/s12964-024-01470-8 · Cited by 17
Wang, Y.-C., Wu, P., Ting, W.-C., Wang, Y., Yang, M.-H., Su, T., Su, J.-Y., Sun, H.-I., Huang, W., Tsai, P.-L., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-60727-z · Cited by 21
Self-citationThe Natural History of T Cell Metabolism
Braun, M. Y. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22136779 · Cited by 18
Fatty acids secreted from head and neck cancer induce M2-like Macrophages
Albakri, M. M., Huang, S. C., Tashkandi, H., & Sieg, S. F. (2022) · Journal of Leukocyte Biology · doi:10.1002/jlb.1a0521-251r · Cited by 17
Statins and renal cell carcinoma: Antitumor activity and influence on cancer risk and survival
Santoni, M., Monteiro, F. S. M., Massari, F., Abahssain, H., Aurilio, G., Molina‐Cerrillo, J., Myint, Z. W., Ortego, I., Battelli, N., & Grande, E. (2022) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2022.103731 · Cited by 17
Metabolic rewiring directs melanoma immunology
Sun, N., Tian, Y., Chen, Y., Guo, W., & Li, C. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.909580 · Cited by 19
A Novel Oncogenic Role of FDX1 in Human Melanoma Related to PD-L1 Immune Checkpoint
Lu, H., Liang, J., He, X., Ye, H., Ruan, C., Shao, H., Zhang, R., & Li, Y. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24119182 · Cited by 17
Focus on T cell exhaustion: new advances in traditional Chinese medicine in infection and cancer
Li, S., Hao, L., Zhang, J., Deng, J., & Hu, X. (2023) · Chinese Medicine · doi:10.1186/s13020-023-00785-x · Cited by 17
Chen, L., Wang, Y., Hu, Q., Liu, Y., Qi, X., Tang, Z., Hu, H., Lin, N., Zeng, S., & Yu, L. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1225948 · Cited by 18
BMI1-induced CD127+KLRG1+ memory T cells enhance the efficacy of liver cancer immunotherapy
Wang, S., Xu, N., Wang, J., Chen, Y., Li, W., Chen, H., Shen, C., Xu, C., Wei, X., Lu, D., et al. (2023) · Cancer Letters · doi:10.1016/j.canlet.2023.216336 · Cited by 17
Immunometabolism: a new dimension in immunotherapy resistance
Xiao, C., Xiong, W., Xu, Y., Zou, J. P., Zeng, Y., Liu, J., Peng, Y., Hu, C., & Wu, F. (2023) · Frontiers of Medicine · doi:10.1007/s11684-023-1012-z · Cited by 18
Metabolic heterogeneity in tumor microenvironment – A novel landmark for immunotherapy
Chen, C., Han, P., & Qing, Y. (2024) · Autoimmunity Reviews · doi:10.1016/j.autrev.2024.103579 · Cited by 17
The multifaceted role of PCSK9 in cancer pathogenesis, tumor immunity, and immunotherapy
Hsu, C., Abdulraheem, M. N., Mustafa, M. A., Omar, T. M., Balto, F., Grillo, I. J. P., Khudair, T. T., Ubaid, M., & Ali, M. S. (2024) · Medical Oncology · doi:10.1007/s12032-024-02435-0 · Cited by 18
Wang, Y., Sandrine, I. K., Ma, L., Chen, K., Chen, X., Yu, Y., Wang, S., Xiao, L., Li, C., Liu, Y., et al. (2024) · Cell Death and Disease · doi:10.1038/s41419-024-06897-y · Cited by 17
Participation of T cells in generating immune protection against cancers
Deo, A. S., Shrijana, Sruthika, S. U., Karun, S., Bisaria, K., & Sarkar, K. (2024) · Pathology - Research and Practice · doi:10.1016/j.prp.2024.155534 · Cited by 18
Ning, Y., Fang, S., Zhang, R., Fang, J., Lin, K., Ding, Y., Nie, H., Zhou, J., Zhao, Q., Ke, H., et al. (2024) · International Immunopharmacology · doi:10.1016/j.intimp.2024.113244 · Cited by 17
Ge, L., Wen, Z., & Xiong, S. (2025) · Cell Reports · doi:10.1016/j.celrep.2024.115128 · Cited by 17
The Role of Dyslipidemia in Colitis-Associated Colorectal Cancer
Chen, K., Guo, J., Zhang, T., Gu, J., Li, H., & Wang, J. (2021) · Journal of Oncology · doi:10.1155/2021/6640384 · Cited by 17
Advances in technology and applications of nanoimmunotherapy for cancer
Dou, L., Meng, X., Yang, H., & Dong, H. (2021) · Biomarker Research · doi:10.1186/s40364-021-00321-9 · Cited by 18
Zhang, Y., Alzahrani, M., Dambaeva, S. V., & Kwak-Kim, J. Y.-H. (2025) · Seminars in Immunopathology · doi:10.1007/s00281-025-01043-y · Cited by 16
Age- and diet-instructed metabolic rewiring of the tumor–immune microenvironment
Plata-Gómez, A. B., & Ho, P. (2025) · The Journal of Experimental Medicine · doi:10.1084/jem.20241102 · Cited by 17
Cut the fat: targeting cholesterol and lipid metabolism in glioblastoma
Zekanovic, S., Sing, P. A., Leenstra, S., & Lamfers, M. L. M. (2025) · Cell Death and Disease · doi:10.1038/s41419-025-07993-3 · Cited by 16
Identification of immune-related cells and genes in the breast invasive carcinoma microenvironment
Chen, X., Wang, Y., Li, Y., Liu, G., Liao, K., & Song, F. (2022) · Aging · doi:10.18632/aging.203879 · Cited by 16
Use of cholesterol metabolism for anti-cancer strategies
Ediriweera, M. K. (2022) · Drug Discovery Today · doi:10.1016/j.drudis.2022.103347 · Cited by 16
Mevalonate improves anti-PD-1/PD-L1 efficacy by stabilizing CD274 mRNA
Zhang, W., Pan, X., Xu, Y., Guo, H., Zheng, M., Chen, X., Wu, H., Luan, F., He, Q., Ding, L., et al. (2023) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2023.04.002 · Cited by 17
Ursino, C., Mouric, C., Gros, L., Bonnefoy, N., & Faget, J. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1170321 · Cited by 17
Tian, W., Qin, G., Jia, M., Li, W., Cai, W., Wang, H., Zhao, Y., Bao, X., Wei, W., Zhang, Y., et al. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1198551 · Cited by 16
Nanoparticle-Based Immunotherapy for Reversing T-Cell Exhaustion
Li, F., Wang, Y. J., Chen, D., & Du, Y. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25031396 · Cited by 17
Wang, T., Wang, X., Wang, K., Yu, M., Bai, R., Zhang, Y., Zhang, Z., Liu, F., Wang, R., Shi, X., et al. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2415042122 · Cited by 16
Resolving the HIF paradox in pancreatic cancer
Fuentes, N. R., Phan, J. L., Huang, Y., Lin, D., & Taniguchi, C. M. (2020) · Cancer Letters · doi:10.1016/j.canlet.2020.05.033 · Cited by 16
Youssef, R., Maniar, R., Khan, J., & Mesa, H. A. (2023) · Current Issues in Molecular Biology · doi:10.3390/cimb45120609 · Cited by 17
Reprogramming the tumor microenvironment to improve the efficacy of cancer immunotherapies
Faraj, J. A., Al-Athari, A. J. H., Mohie, S. E. D., Kadhim, I. K., Jawad, N. M., Abbas, W. J., & Jalil, A. T. (2022) · Medical Oncology · doi:10.1007/s12032-022-01842-5 · Cited by 16
Impact of Immunometabolism on Cancer Metastasis: A Focus on T Cells and MacrophagesPreprint
Flerin, N. C., Pinioti, S., Menga, A., Castegna, A., & Mazzone, M. (2019) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a037044 · Cited by 16
Endoplasmic Reticulum Stress: Triggers Microenvironmental Regulation and Drives Tumor Evolution
Peng, C., Wang, J., Wang, S., Zhao, Y., Wang, H., Wang, Y., Ma, Y., & Yang, J. (2025) · Cancer Medicine · doi:10.1002/cam4.70684 · Cited by 15
Fang, Q., You, C., Xiao, X., Liu, Y., Yang, W., Li, Q., Qing, L., & Dong, Z. (2025) · Protein and Peptide Letters · doi:10.2174/0109298665403178250806111943 · Cited by 15
Liu, S., Shao, S., Huang, Z., Xue, P., Yan, S., Cao, M., & Zeng, X. (2025) · Biomaterials · doi:10.1016/j.biomaterials.2025.123760 · Cited by 15
The ER-Mitochondria Interface as a Dynamic Hub for T Cell Efficacy in Solid Tumors
Hunt, E. G., Andrews, A. M., Larsen, S. R., & Thaxton, J. E. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.867341 · Cited by 16
Jin, H.-R., Xia, B., Wang, J., Qi, S., Jing, W., Deng, K., & Yang, J. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241813854 · Cited by 15
Xu, T., Yu, L., Cao, Y., Li, B., Li, Y., Zhang, L., & Yu, D. (2024) · Translational research · doi:10.1016/j.trsl.2024.10.003 · Cited by 15
Metabolic Vulnerabilities in Multiple Myeloma
Lim, J. S. L., Chong, P. S. Y., & Chng, W. J. (2022) · Cancers · doi:10.3390/cancers14081905 · Cited by 15
A Novel Diosgenin-Based Liposome Delivery System Combined with Doxorubicin for Liver Cancer Therapy
Chen, L., Lan, J., Li, Z., Zeng, R., Wang, Y., Zhen, L., Jin, H., Ding, Y., & Zhang, T. (2022) · Pharmaceutics · doi:10.3390/pharmaceutics14081685 · Cited by 15
Research progress on the role of cholesterol in hepatocellular carcinoma
Li, P., Yan, Q., Chen, Z., Hu, Y., Sun, Y., Yu, M., Wu, Y., Yao, Y., Tao, L., Chen, F., et al. (2022) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2022.175410 · Cited by 16
Si, L., Zhou, Q., Zhao, R., Xie, L., Cao, W., & Feng, Y. (2025) · Cancer Letters · doi:10.1016/j.canlet.2025.217613 · Cited by 14
Research progress on cholesterol metabolism and tumor therapy
Chu, Z., Fang, L., Xiang, Y., & Ding, Y. (2025) · Discover Oncology · doi:10.1007/s12672-025-02430-5 · Cited by 14
Engineering NK and T cells with metabolite-sensing receptors to target solid tumors
Kim, Y., Tsai, M. K., Sun, C., Laveroni, O., Akana, R. V., Frombach, K. R., & Jerby‐Arnon, L. (2026) · Nature Immunology · doi:10.1038/s41590-026-02473-y · Cited by 14
Zhang, H., Xia, N., Tang, T., Nie, S., Zha, L., Zhang, M., Lv, B., Lu, Y., Jiao, J., Li, J., et al. (2023) · Journal of Translational Medicine · doi:10.1186/s12967-023-03896-z · Cited by 14
Self-citationTripathi, V., Jaiswal, P., Verma, R., Sahu, K., Majumder, S. K., Chakraborty, S., Jha, H. C., & Parmar, H. S. (2023) · Advances in Cancer Biology - Metastasis · doi:10.1016/j.adcanc.2023.100110 · Cited by 15
Correa, L. O., Jankowski, S. E., Hong, H. S., Armas, N. D., Vijendra, A. I., Reynolds, M. B., Fogo, G. M., Awad, D., Dils, A. T., Inoki, K. A., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114156 · Cited by 14
Lv, Q., Su, T., Liu, W., Wang, L., Hu, J., Cheng, Y., Ning, C., Shan, W., Luo, X., & Chen, X. (2024) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-23-0506 · Cited by 16
Song, Q., Xu, Y., Zhang, M., Wu, L., Liu, S., Lv, Y., Hu, T., Zhao, J. J., Zhang, X., Xu, X., et al. (2024) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2024.134660 · Cited by 14
The influence of metabolic disorders on adaptive immunity
Collins, T. J. C., Morgan, P. K., Man, K., Lancaster, G. I., & Murphy, A. J. (2024) · Cellular and Molecular Immunology · doi:10.1038/s41423-024-01206-1 · Cited by 14
Si, L., Zhao, R., Han, Y., Shao, S., Ji, Y., Zhang, J., Pan, H., Sun, J., & Feng, Y. (2024) · Clinical and Experimental Medicine · doi:10.1007/s10238-024-01479-w · Cited by 16
Biomimetic calcium-chelation nanoparticles reprogram tumor metabolism to enhance antitumor immunity
Wang, Z., Wu, M. T., Jiang, Y., Zhou, J., Chen, S., Wang, Q., Sun, H., Deng, Y., Zhou, Z., & Sun, M. (2025) · Journal of Controlled Release · doi:10.1016/j.jconrel.2025.01.046 · Cited by 15
Self-citationCheng, C., Zha, Q., Sun, L., Cui, T., Guo, X., Xing, C., Chen, Z., Ji, C., Liang, S., Tao, S., et al. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-02120-8 · Cited by 14
Self-citationTumor Cholesterol Up, T Cells Down
Picarda, É., Ren, X., & Zang, X. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.06.007 · Cited by 14
Cheng, X., Ma, F.-P., Yan, Y., Zhao, W., Shi, J., Xiao, W. L., Bi, E., & Luo, Q. (2022) · Organic Letters · doi:10.1021/acs.orglett.2c02978 · Cited by 14
Self-citationZhang, J., Yang, G., Wang, X., Zhu, Y., & Wang, J. (2022) · Microbiology Spectrum · doi:10.1128/spectrum.02198-22 · Cited by 14
Schelz, Z., Muddather, H. F., & Zupkó, I. (2023) · Antibiotics · doi:10.3390/antibiotics12091468 · Cited by 14
Enhancing Immunotherapy in Ovarian Cancer: The Emerging Role of Metformin and Statins
Almeida-Nunes, D. L., Silvestre, R., Dinis‐Oliveira, R. J., & Ricardo, S. A. V. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms25010323 · Cited by 14
Yu, Z., Xu, Z., Fu, T., Liu, S., Cui, J., Zhang, B., Liang, J., Pang, C., Ke, Y., Wang, R., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-58094-w · Cited by 13
CD8+ T cell stressors converge on shared metabolic–epigenetic networks
Shangguan, Y., Wang, J., Ho, P., & Xu, Y. (2025) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2025.08.009 · Cited by 14
Sun, Y. H., Shao, C., Duan, H., Wang, Z., Xu, S., Wang, C., Xiu, J., Liu, J., Wang, X., Yao, X., et al. (2025) · MedComm · doi:10.1002/mco2.70496 · Cited by 15
Cheng, X. Y., Wang, W., Zhang, Z., Zhang, H., Zhu, P., He, R., Wu, M., Zhou, T., Jiang, Y., Jiang, L., et al. (2023) · Hepatology International · doi:10.1007/s12072-023-10595-w · Cited by 13
Knockdown of SQLE promotes CD8+ T cell infiltration in the tumor microenvironment
Wu, J., Hu, W., Yang, W., Long, Y., Chen, K., Li, F., Ma, X., & Li, X. (2023) · Cellular Signalling · doi:10.1016/j.cellsig.2023.110983 · Cited by 13
Self-citationCell Identity and Spatial Distribution of PD‐1/PD‐L1 Blockade Responders
Li, X., Liu, Y., Gui, J., Gan, L., & Xue, J. (2024) · Advanced Science · doi:10.1002/advs.202400702 · Cited by 17
Zhao, Y., Qin, C., Chen, L., Li, Z., Zhao, B., Li, T., Zhang, X., & Wang, W. (2024) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2024.189183 · Cited by 14
Yang, H., Huang, R., Zhang, P., Liu, Y., Liu, Z., He, J., & Peng, X. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1439231 · Cited by 13
Xu, Y., Xu, T., Huang, C., Liu, L., Amakye, W. K., Zhu, Y., & Ren, J. (2024) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2024.136810 · Cited by 13
Self-citationUnfolded protein response in the activation-induced biological processes of CD8+ T cells
Shi, Y., Lu, Y., & You, J. (2021) · Pharmacological Research · doi:10.1016/j.phrs.2021.105654 · Cited by 15
Self-citationShwe, T. H., Pothacharoen, P., Phitak, T., Wudtiwai, B., & Kongtawelert, P. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22168755 · Cited by 13
Resistance to immune checkpoint inhibitors in KRAS-mutant non-small cell lung cancer
Li, Y., Hu, L., Peng, X., Xu, H., Tang, B., & Xu, C. S. (2022) · Cancer Drug Resistance · doi:10.20517/cdr.2021.102 · Cited by 13
Zou, Y., Yu, X., Zhou, C., Zhu, C., & Yuan, Y. (2022) · Lipids in Health and Disease · doi:10.1186/s12944-022-01766-z · Cited by 13
Liu, S., Wang, S., & Wang, Z. (2023) · BMC Medical Genomics · doi:10.1186/s12920-023-01543-6 · Cited by 13
Identification and Validation of EMT-Related lncRNA Prognostic Signature for Colorectal Cancer
Li, D., Lin, X., Chen, B., Ma, Z., Zeng, Y., & Wang, H. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.723802 · Cited by 13
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