{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T15:28:08Z","timestamp":1781882888641,"version":"3.54.5"},"reference-count":90,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,8,18]],"date-time":"2025-08-18T00:00:00Z","timestamp":1755475200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,18]],"date-time":"2025-08-18T00:00:00Z","timestamp":1755475200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Union Project of Medical and Technology Research Program of Henan Province","award":["No. LHGJ20240576"],"award-info":[{"award-number":["No. LHGJ20240576"]}]},{"name":"Union Project of Medical and Technology Research Program of Henan Province","award":["LHGJ20190948"],"award-info":[{"award-number":["LHGJ20190948"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Ann Surg Oncol"],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1245\/s10434-025-18066-2","type":"journal-article","created":{"date-parts":[[2025,8,18]],"date-time":"2025-08-18T12:44:20Z","timestamp":1755521060000},"page":"740-757","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Mapping Current Research Status and Emerging Frontiers of T-Cell Exhaustion: A Comprehensive Data-Mining-Based Study"],"prefix":"10.1245","volume":"33","author":[{"given":"Pengcheng","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiang","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanfeng","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wanqing","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haiyang","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,8,18]]},"reference":[{"issue":"7077","key":"18066_CR1","doi-asserted-by":"crossref","first-page":"682","DOI":"10.1038\/nature04444","volume":"439","author":"DL Barber","year":"2006","unstructured":"Barber DL, Wherry EJ, Masopust D, et al. Restoring function in exhausted CD8 T cells during chronic viral infection. Nature. 2006;439(7077):682\u20137.","journal-title":"Nature."},{"issue":"8","key":"18066_CR2","doi-asserted-by":"crossref","first-page":"486","DOI":"10.1038\/nri3862","volume":"15","author":"EJ Wherry","year":"2015","unstructured":"Wherry EJ, Kurachi M. Molecular and cellular insights into T cell exhaustion. Nat Rev Immunol. 2015;15(8):486\u201399.","journal-title":"Nat Rev Immunol."},{"issue":"4","key":"18066_CR3","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.it.2015.02.008","volume":"36","author":"KE Pauken","year":"2015","unstructured":"Pauken KE, Wherry EJ. Overcoming T cell exhaustion in infection and cancer. Trends Immunol. 2015;36(4):265\u201376.","journal-title":"Trends Immunol."},{"issue":"6","key":"18066_CR4","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1038\/ni.2035","volume":"12","author":"EJ Wherry","year":"2011","unstructured":"Wherry EJ. T cell exhaustion. Nat Immunol. 2011;12(6):492\u20139.","journal-title":"Nat Immunol."},{"issue":"4","key":"18066_CR5","doi-asserted-by":"crossref","first-page":"670","DOI":"10.1016\/j.immuni.2007.09.006","volume":"27","author":"EJ Wherry","year":"2007","unstructured":"Wherry EJ, Ha SJ, Kaech SM, et al. Molecular signature of CD8+ T cell exhaustion during chronic viral infection. Immunity. 2007;27(4):670\u201384.","journal-title":"Immunity."},{"issue":"6","key":"18066_CR6","doi-asserted-by":"crossref","DOI":"10.1038\/cddis.2015.162","volume":"6","author":"Y Jiang","year":"2015","unstructured":"Jiang Y, Li Y, Zhu B. T-cell exhaustion in the tumor microenvironment. Cell Death Dis. 2015;6(6):e1792.","journal-title":"Cell Death Dis."},{"issue":"7","key":"18066_CR7","doi-asserted-by":"crossref","first-page":"964","DOI":"10.3390\/ph17070964","volume":"17","author":"JP Costa","year":"2024","unstructured":"Costa JP, de Carvalho A, Paiva A, et al. Insights into immune exhaustion in chronic hepatitis B: a review of checkpoint receptor expression. Pharmaceuticals (Basel). 2024;17(7):964.","journal-title":"Pharmaceuticals (Basel)."},{"key":"18066_CR8","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.60095","volume":"10","author":"M Marotel","year":"2021","unstructured":"Marotel M, Villard M, Drouillard A, et al. Peripheral natural killer cells in chronic hepatitis B patients display multiple molecular features of T cell exhaustion. Elife. 2021;10:e60095.","journal-title":"Elife."},{"issue":"4","key":"18066_CR9","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1007\/s10495-014-1084-y","volume":"20","author":"M Barathan","year":"2015","unstructured":"Barathan M, Gopal K, Mohamed R, et al. Chronic hepatitis C virus infection triggers spontaneous differential expression of biosignatures associated with T cell exhaustion and apoptosis signaling in peripheral blood mononucleocytes. Apoptosis. 2015;20(4):466\u201380.","journal-title":"Apoptosis."},{"issue":"9","key":"18066_CR10","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1111\/imcb.12161","volume":"96","author":"S Baral","year":"2018","unstructured":"Baral S, Roy R, Dixit NM. Modeling how reversal of immune exhaustion elicits cure of chronic hepatitis C after the end of treatment with direct-acting antiviral agents. Immunol Cell Biol. 2018;96(9):969\u201380.","journal-title":"Immunol Cell Biol."},{"issue":"4","key":"18066_CR11","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1016\/j.ccell.2023.02.020","volume":"41","author":"C Mangana","year":"2023","unstructured":"Mangana C, Maier BB. A progressive T cell exhaustion program mapped across tissues in patients with lung cancer on immune checkpoint blockade. Cancer Cell. 2023;41(4):653\u20135.","journal-title":"Cancer Cell."},{"key":"18066_CR12","doi-asserted-by":"crossref","first-page":"1362970","DOI":"10.3389\/fimmu.2024.1362970","volume":"15","author":"Q Fan","year":"2024","unstructured":"Fan Q, Wang Y, Cheng J, et al. Single-cell RNA-seq reveals T cell exhaustion and immune response landscape in osteosarcoma. Front Immunol. 2024;15:1362970.","journal-title":"Front Immunol."},{"issue":"2","key":"18066_CR13","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1007\/s00262-023-03585-2","volume":"73","author":"D Cheng","year":"2024","unstructured":"Cheng D, Zhang Z, Liu D, et al. Unraveling T cell exhaustion in the immune microenvironment of osteosarcoma via single-cell RNA transcriptome. Cancer Immunol Immunother. 2024;73(2):35.","journal-title":"Cancer Immunol Immunother."},{"issue":"21","key":"18066_CR14","doi-asserted-by":"crossref","first-page":"8623","DOI":"10.1073\/pnas.0809818106","volume":"106","author":"SN Mueller","year":"2009","unstructured":"Mueller SN, Ahmed R. High antigen levels are the cause of T cell exhaustion during chronic viral infection. Proc Natl Acad Sci USA. 2009;106(21):8623\u20138.","journal-title":"Proc Natl Acad Sci USA."},{"issue":"6316","key":"18066_CR15","doi-asserted-by":"crossref","first-page":"1165","DOI":"10.1126\/science.aae0491","volume":"354","author":"DR Sen","year":"2016","unstructured":"Sen DR, Kaminski J, Barnitz RA, et al. The epigenetic landscape of T cell exhaustion. Science. 2016;354(6316):1165\u20139.","journal-title":"Science."},{"issue":"3","key":"18066_CR16","doi-asserted-by":"crossref","DOI":"10.1016\/j.celrep.2024.113894","volume":"43","author":"BA Caldwell","year":"2024","unstructured":"Caldwell BA, Wu Y, Wang J, et al. Altered DNA methylation underlies monocyte dysregulation and immune exhaustion memory in sepsis. Cell Rep. 2024;43(3):113894.","journal-title":"Cell Rep."},{"issue":"7620","key":"18066_CR17","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1038\/nature19330","volume":"537","author":"SJ Im","year":"2016","unstructured":"Im SJ, Hashimoto M, Gerner MY, et al. Defining CD8+ T cells that provide the proliferative burst after PD-1 therapy. Nature. 2016;537(7620):417\u201321.","journal-title":"Nature."},{"issue":"10","key":"18066_CR18","doi-asserted-by":"crossref","first-page":"2187","DOI":"10.1084\/jem.20100643","volume":"207","author":"K Sakuishi","year":"2010","unstructured":"Sakuishi K, Apetoh L, Sullivan JM, et al. Targeting Tim-3 and PD-1 pathways to reverse T cell exhaustion and restore anti-tumor immunity. J Exp Med. 2010;207(10):2187\u201394.","journal-title":"J Exp Med."},{"issue":"1","key":"18066_CR19","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1111\/j.1600-065X.2009.00767.x","volume":"229","author":"JL Riley","year":"2009","unstructured":"Riley JL. PD-1 signaling in primary T cells. Immunol Rev. 2009;229(1):114\u201325.","journal-title":"Immunol Rev."},{"issue":"1","key":"18066_CR20","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1186\/s13643-023-02410-2","volume":"12","author":"A Montazeri","year":"2023","unstructured":"Montazeri A, Mohammadi S, Hesari MP, et al. Preliminary guideline for reporting bibliometric reviews of the biomedical literature (BIBLIO): a minimum requirements. Syst Rev. 2023;12(1):239.","journal-title":"Syst Rev."},{"issue":"4","key":"18066_CR21","doi-asserted-by":"crossref","first-page":"2446","DOI":"10.1097\/JS9.0000000000001049","volume":"110","author":"K Cheng","year":"2024","unstructured":"Cheng K, Li Z, Sun Z, et al. The rapid growth of bibliometric studies: a call for international guidelines. Int J Surg. 2024;110(4):2446\u20138.","journal-title":"Int J Surg."},{"issue":"12","key":"18066_CR22","doi-asserted-by":"crossref","first-page":"8215","DOI":"10.1097\/JS9.0000000000001804","volume":"110","author":"Z Sun","year":"2024","unstructured":"Sun Z, Wang X, Xiao J, et al. Knowledge mapping and emerging trends in neural stem cell transplantation research for spinal cord injury: a bibliometric analysis (2004\u20132023). Int J Surg. 2024;110(12):8215\u20139.","journal-title":"Int J Surg."},{"issue":"6","key":"18066_CR23","doi-asserted-by":"crossref","first-page":"616","DOI":"10.1016\/j.jcyt.2024.02.022","volume":"26","author":"W Liu","year":"2024","unstructured":"Liu W, Zhang C, Jiang F, et al. From theory to therapy: a bibliometric and visual study of stem cell advancements in age-related macular degeneration. Cytotherapy. 2024;26(6):616\u201331.","journal-title":"Cytotherapy."},{"issue":"1","key":"18066_CR24","doi-asserted-by":"crossref","first-page":"2433304","DOI":"10.1080\/21645515.2024.2433304","volume":"20","author":"J Li","year":"2024","unstructured":"Li J, Li X, Fu Y, et al. Visualizing immunotherapy for multiple myeloma worldwide from 2013 to 2023: a bibliometric analysis. Hum Vaccin Immunother. 2024;20(1):2433304.","journal-title":"Hum Vaccin Immunother."},{"issue":"1","key":"18066_CR25","doi-asserted-by":"crossref","first-page":"2426869","DOI":"10.1080\/21645515.2024.2426869","volume":"20","author":"X Wu","year":"2024","unstructured":"Wu X, Jin B, Liu X, et al. Research trends of cellular immunotherapy for primary liver cancer: a bibliometric analysis. Hum Vaccin Immunother. 2024;20(1):2426869.","journal-title":"Hum Vaccin Immunother."},{"issue":"12","key":"18066_CR26","doi-asserted-by":"crossref","first-page":"8734","DOI":"10.21037\/qims-24-128","volume":"14","author":"H Wu","year":"2024","unstructured":"Wu H, Cheng K, Sun Z, et al. Trends of mapping knowledge structure and themes of cancer sonodynamic therapy: a text-mining study. Quant Imaging Med Surg. 2024;14(12):8734\u201357.","journal-title":"Quant Imaging Med Surg."},{"issue":"1","key":"18066_CR27","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1186\/s40246-024-00687-5","volume":"18","author":"Y Lyu","year":"2024","unstructured":"Lyu Y, Zhao H, Zeng G, et al. Mapping the evolving trend of research on leukocyte telomere length: a text-mining study. Hum Genomics. 2024;18(1):117.","journal-title":"Hum Genomics."},{"key":"18066_CR28","unstructured":"Synnestvedt MB, Chen C, Holmes JH. CiteSpace II: visualization and knowledge discovery in bibliographic databases. AMIA Annu Symp Proc 2005:724-8."},{"issue":"2","key":"18066_CR29","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1007\/s11192-009-0146-3","volume":"84","author":"NJ van Eck","year":"2010","unstructured":"van Eck NJ, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics. 2010;84(2):523\u201338.","journal-title":"Scientometrics"},{"key":"18066_CR30","doi-asserted-by":"publisher","DOI":"10.3791\/58494","author":"SAS AlRyalat","year":"2019","unstructured":"AlRyalat SAS, Malkawi LW, Momani SM. Comparing bibliometric analysis using PubMed, Scopus, and web of science databases. J Vis Exp. 2019. https:\/\/doi.org\/10.3791\/58494.","journal-title":"J Vis Exp."},{"key":"18066_CR31","doi-asserted-by":"crossref","first-page":"1048211","DOI":"10.3389\/fphar.2022.1048211","volume":"13","author":"Z Wu","year":"2023","unstructured":"Wu Z, Cheng K, Shen Z, et al. Mapping knowledge landscapes and emerging trends of sonodynamic therapy: a bibliometric and visualized study. Front Pharmacol. 2023;13:1048211.","journal-title":"Front Pharmacol."},{"key":"18066_CR32","volume":"13","author":"K Cheng","year":"2022","unstructured":"Cheng K, Zhang H, Guo Q, et al. Emerging trends and research foci of oncolytic virotherapy for central nervous system tumors: a bibliometric study. Front Immunol. 2022;13:975695.","journal-title":"Front Immunol."},{"issue":"5","key":"18066_CR33","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1097\/DCC.0000000000000603","volume":"42","author":"KA Gould","year":"2023","unstructured":"Gould KA. Journal citation reports 2023: understanding bibliometric data. Dimens Crit Care Nurs. 2023;42(5):245\u20137.","journal-title":"Dimens Crit Care Nurs."},{"key":"18066_CR34","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijcard.2024.132119","volume":"408","author":"M Zimarino","year":"2024","unstructured":"Zimarino M, Benedetto U, Pelliccia F. The H-index in the road for academic progression. Int J Cardiol. 2024;408:132119.","journal-title":"Int J Cardiol."},{"key":"18066_CR35","doi-asserted-by":"crossref","first-page":"120","DOI":"10.3389\/fnins.2017.00120","volume":"11","author":"AW Yeung","year":"2017","unstructured":"Yeung AW, Goto TK, Leung WK. The changing landscape of neuroscience research, 2006\u20132015: a bibliometric study. Front Neurosci. 2017;11:120.","journal-title":"Front Neurosci."},{"key":"18066_CR36","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1023\/A:1024940629314","volume":"7","author":"J Kleinberg","year":"2003","unstructured":"Kleinberg J. Bursty and hierarchical structure in streams. Data Min Knowl Discov. 2003;7:373\u201397.","journal-title":"Data Min Knowl Discov."},{"key":"18066_CR37","doi-asserted-by":"crossref","DOI":"10.1016\/j.neubiorev.2022.104608","volume":"136","author":"M Sabe","year":"2022","unstructured":"Sabe M, Pillinger T, Kaiser S, et al. Half a century of research on antipsychotics and schizophrenia: a scientometric study of hotspots, nodes, bursts, and trends. Neurosci Biobehav Rev. 2022;136:104608.","journal-title":"Neurosci Biobehav Rev."},{"issue":"1","key":"18066_CR38","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1007\/s11657-021-01016-2","volume":"16","author":"H Wu","year":"2021","unstructured":"Wu H, Sun Z, Tong L, et al. Bibliometric analysis of global research trends on male osteoporosis: a neglected field deserves more attention. Arch Osteoporos. 2021;16(1):154.","journal-title":"Arch Osteoporos."},{"issue":"4","key":"18066_CR39","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1111\/j.1365-2567.2010.03255.x","volume":"129","author":"JS Yi","year":"2010","unstructured":"Yi JS, Cox MA, Zajac AJ. T-cell exhaustion: characteristics, causes and conversion. Immunology. 2010;129(4):474\u201381.","journal-title":"Immunology."},{"issue":"33","key":"18066_CR40","doi-asserted-by":"crossref","first-page":"14733","DOI":"10.1073\/pnas.1009731107","volume":"107","author":"HT Jin","year":"2010","unstructured":"Jin HT, Anderson AC, Tan WG, et al. Cooperation of Tim-3 and PD-1 in CD8 T-cell exhaustion during chronic viral infection. Proc Natl Acad Sci USA. 2010;107(33):14733\u20138.","journal-title":"Proc Natl Acad Sci USA."},{"issue":"1","key":"18066_CR41","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1038\/ni.1679","volume":"10","author":"SD Blackburn","year":"2009","unstructured":"Blackburn SD, Shin H, Haining WN, et al. Coregulation of CD8+ T cell exhaustion by multiple inhibitory receptors during chronic viral infection. Nat Immunol. 2009;10(1):29\u201337.","journal-title":"Nat Immunol."},{"issue":"12","key":"18066_CR42","doi-asserted-by":"crossref","first-page":"1355","DOI":"10.1158\/2159-8290.CD-13-0310","volume":"3","author":"EA Akbay","year":"2013","unstructured":"Akbay EA, Koyama S, Carretero J, et al. Activation of the PD-1 pathway contributes to immune escape in EGFR-driven lung tumors. Cancer Discov. 2013;3(12):1355\u201363.","journal-title":"Cancer Discov."},{"issue":"4","key":"18066_CR43","doi-asserted-by":"crossref","first-page":"998","DOI":"10.1016\/j.cell.2018.10.038","volume":"175","author":"M Sade-Feldman","year":"2018","unstructured":"Sade-Feldman M, Yizhak K, Bjorgaard SL, et al. Defining T cell states associated with response to checkpoint immunotherapy in melanoma. Cell. 2018;175(4):998-1013.e20.","journal-title":"Cell."},{"issue":"7","key":"18066_CR44","doi-asserted-by":"crossref","first-page":"978","DOI":"10.1038\/s41591-018-0045-3","volume":"24","author":"X Guo","year":"2018","unstructured":"Guo X, Zhang Y, Zheng L, et al. Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing. Nat Med. 2018;24(7):978\u201385.","journal-title":"Nat Med."},{"issue":"7655","key":"18066_CR45","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1038\/nature22367","volume":"545","author":"M Philip","year":"2017","unstructured":"Philip M, Fairchild L, Sun L, et al. Chromatin states define tumour-specific T cell dysfunction and reprogramming. Nature. 2017;545(7655):452\u20136.","journal-title":"Nature."},{"issue":"19","key":"18066_CR46","doi-asserted-by":"crossref","first-page":"4993","DOI":"10.1073\/pnas.1705327114","volume":"114","author":"AO Kamphorst","year":"2017","unstructured":"Kamphorst AO, Pillai RN, Yang S, et al. Proliferation of PD-1+ CD8 T cells in peripheral blood after PD-1-targeted therapy in lung cancer patients. Proc Natl Acad Sci USA. 2017;114(19):4993\u20138.","journal-title":"Proc Natl Acad Sci USA."},{"key":"18066_CR47","doi-asserted-by":"crossref","first-page":"1407180","DOI":"10.3389\/fcimb.2024.1407180","volume":"14","author":"H Wu","year":"2024","unstructured":"Wu H, Sun Z, Guo Q, et al. Mapping knowledge landscapes and research frontiers of gastrointestinal microbiota and bone metabolism: a text-mining study. Front Cell Infect Microbiol. 2024;14:1407180.","journal-title":"Front Cell Infect Microbiol."},{"issue":"6","key":"18066_CR48","volume":"10","author":"C Yin","year":"2024","unstructured":"Yin C, Chokkakula S, Li J, et al. Unveiling research trends in the prognosis of osteosarcoma: a bibliometric analysis from 2000 to 2022. Heliyon. 2024;10(6):e27566.","journal-title":"Heliyon."},{"key":"18066_CR49","doi-asserted-by":"crossref","first-page":"1302016","DOI":"10.3389\/fmolb.2023.1302016","volume":"10","author":"K Cheng","year":"2023","unstructured":"Cheng K, Li W, Wu H, et al. Mapping knowledge structure and themes trends of cancer-associated fibroblasts: a text-mining study. Front Mol Biosci. 2023;10:1302016.","journal-title":"Front Mol Biosci."},{"issue":"2","key":"18066_CR50","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1002\/asi.22968","volume":"65","author":"C Chen","year":"2014","unstructured":"Chen C, Leydesdorff L. Patterns of connections and movements in dual-map overlays: a new method of publication portfolio analysis. J Am Socr Inf Sci Technol. 2014;65(2):334\u201351.","journal-title":"J Am Socr Inf Sci Technol"},{"issue":"8","key":"18066_CR51","doi-asserted-by":"crossref","first-page":"3130","DOI":"10.1172\/JCI83092","volume":"126","author":"L Cherkassky","year":"2016","unstructured":"Cherkassky L, Morello A, Villena-Vargas J, et al. Human CAR T cells with cell-intrinsic PD-1 checkpoint blockade resist tumor-mediated inhibition. J Clin Invest. 2016;126(8):3130\u201344.","journal-title":"J Clin Invest."},{"issue":"1","key":"18066_CR52","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1186\/s40364-024-00667-w","volume":"12","author":"S Sui","year":"2024","unstructured":"Sui S, Zhong M, Zhong S, et al. BRD4 inhibitor reduces exhaustion and blocks terminal differentiation in CAR-T cells by modulating BATF and EGR1. Biomark Res. 2024;12(1):124.","journal-title":"Biomark Res."},{"issue":"7","key":"18066_CR53","doi-asserted-by":"crossref","first-page":"787","DOI":"10.1002\/cac2.12575","volume":"44","author":"C Heuser-Loy","year":"2024","unstructured":"Heuser-Loy C. Interleukin-10 gives exhausted chimeric antigen receptor (CAR) T cells a second breath. Cancer Commun (Lond). 2024;44(7):787\u201390.","journal-title":"Cancer Commun (Lond)."},{"issue":"6","key":"18066_CR54","doi-asserted-by":"crossref","first-page":"1617","DOI":"10.1016\/j.ymthe.2024.04.004","volume":"32","author":"T Ahn","year":"2024","unstructured":"Ahn T, Bae EA, Seo H. Decoding and overcoming T cell exhaustion: epigenetic and transcriptional dynamics in CAR-T cells against solid tumors. Mol Ther. 2024;32(6):1617\u201327.","journal-title":"Mol Ther."},{"issue":"1","key":"18066_CR55","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1158\/0008-5472.CAN-23-1038","volume":"84","author":"X Zhu","year":"2024","unstructured":"Zhu X, Chen J, Li W, et al. Hypoxia-responsive CAR-T cells exhibit reduced exhaustion and enhanced efficacy in solid tumors. Cancer Res. 2024;84(1):84\u2013100.","journal-title":"Cancer Res."},{"issue":"4","key":"18066_CR56","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1111\/imm.13642","volume":"169","author":"X Yin","year":"2023","unstructured":"Yin X, He L, Guo Z. T-cell exhaustion in CAR-T-cell therapy and strategies to overcome it. Immunology. 2023;169(4):400\u201311.","journal-title":"Immunology."},{"issue":"2","key":"18066_CR57","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.ccell.2020.01.006","volume":"37","author":"I Scarf\u00f2","year":"2020","unstructured":"Scarf\u00f2 I, Maus MV. Unraveling the signaling balance of activation and exhaustion of CAR T cells. Cancer Cell. 2020;37(2):143\u20134.","journal-title":"Cancer Cell."},{"issue":"11","key":"18066_CR58","doi-asserted-by":"crossref","first-page":"1228","DOI":"10.1002\/cac2.12222","volume":"41","author":"X Yang","year":"2021","unstructured":"Yang X, Wang B, Cao X. Transcriptional suppression of CD8+ T cell exhaustion for improving T cell immunotherapy. Cancer Commun (Lond). 2021;41(11):1228\u201331.","journal-title":"Cancer Commun (Lond)."},{"issue":"25","key":"18066_CR59","doi-asserted-by":"crossref","first-page":"12410","DOI":"10.1073\/pnas.1905675116","volume":"116","author":"H Seo","year":"2019","unstructured":"Seo H, Chen J, Gonz\u00e1lez-Avalos E, et al. TOX and TOX2 transcription factors cooperate with NR4A transcription factors to impose CD8+ T cell exhaustion. Proc Natl Acad Sci USA. 2019;116(25):12410\u20135.","journal-title":"Proc Natl Acad Sci USA."},{"issue":"7764","key":"18066_CR60","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1038\/s41586-019-1326-9","volume":"571","author":"F Alfei","year":"2019","unstructured":"Alfei F, Kanev K, Hofmann M, et al. TOX reinforces the phenotype and longevity of exhausted T cells in chronic viral infection. Nature. 2019;571(7764):265\u20139.","journal-title":"Nature."},{"issue":"12_Supplement","key":"18066_CR61","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1158\/1538-7445.AM2022-566","volume":"82","author":"J Mavuluri","year":"2022","unstructured":"Mavuluri J, Alli R, Jones L. PSGL1 KO CAR-T cell can overcome CAR-T cell hurdles: persistence, exhaustion and off target tissue destruction. Cancer Research. 2022;82(12_Supplement):566\u2013566.","journal-title":"Cancer Research"},{"issue":"8","key":"18066_CR62","doi-asserted-by":"crossref","first-page":"3416","DOI":"10.1016\/j.apsb.2024.04.022","volume":"14","author":"D Xiong","year":"2024","unstructured":"Xiong D, Yu H, Sun ZJ. Unlocking T cell exhaustion: insights and implications for CAR-T cell therapy. Acta Pharm Sin B. 2024;14(8):3416\u201331.","journal-title":"Acta Pharm Sin B."},{"issue":"2","key":"18066_CR63","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1038\/s41577-019-0265-x","volume":"20","author":"K Minton","year":"2020","unstructured":"Minton K, Overcoming CAR. T cell exhaustion. Nat Rev Immunol. 2020;20(2):72\u20133.","journal-title":"Nat Rev Immunol."},{"issue":"1","key":"18066_CR64","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1038\/s41389-023-00482-2","volume":"12","author":"Z Zhang","year":"2023","unstructured":"Zhang Z, Chen H, Yan D, et al. Deep learning identifies a T-cell exhaustion-dependent transcriptional signature for predicting clinical outcomes and response to immune checkpoint blockade. Oncogenesis. 2023;12(1):37.","journal-title":"Oncogenesis."},{"issue":"1","key":"18066_CR65","doi-asserted-by":"crossref","first-page":"1866287","DOI":"10.1080\/2162402X.2020.1866287","volume":"10","author":"X Wang","year":"2021","unstructured":"Wang X, Peticone C, Kotsopoulou E, et al. Single-cell transcriptome analysis of CAR T-cell products reveals subpopulations, stimulation, and exhaustion signatures. Oncoimmunology. 2021;10(1):1866287.","journal-title":"Oncoimmunology."},{"key":"18066_CR66","volume":"8","author":"H Wu","year":"2021","unstructured":"Wu H, Cheng K, Guo Q, et al. Mapping knowledge structure and themes trends of osteoporosis in rheumatoid arthritis: a bibliometric analysis. Front Med (Lausanne). 2021;8:787228.","journal-title":"Front Med (Lausanne)."},{"key":"18066_CR67","volume":"15","author":"H Wu","year":"2021","unstructured":"Wu H, Zhou Y, Xu L, et al. Mapping knowledge structure and research frontiers of ultrasound-induced blood-brain barrier opening: a scientometric study. Front Neurosci. 2021;15:706105.","journal-title":"Front Neurosci."},{"issue":"2","key":"18066_CR68","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.immuni.2015.01.006","volume":"42","author":"GJ Martinez","year":"2015","unstructured":"Martinez GJ, Pereira RM, \u00c4ij\u00f6 T, et al. The transcription factor NFAT promotes exhaustion of activated CD8+ T cells. Immunity. 2015;42(2):265\u201378.","journal-title":"Immunity."},{"issue":"31","key":"18066_CR69","doi-asserted-by":"crossref","first-page":"5002","DOI":"10.1038\/s41388-021-01897-0","volume":"40","author":"Z Xiang","year":"2021","unstructured":"Xiang Z, Zhou Z, Song S, et al. Dexamethasone suppresses immune evasion by inducing GR\/STAT3 mediated downregulation of PD-L1 and IDO1 pathways. Oncogene. 2021;40(31):5002\u201312.","journal-title":"Oncogene."},{"issue":"4","key":"18066_CR70","doi-asserted-by":"crossref","first-page":"337","DOI":"10.3390\/cells13040337","volume":"13","author":"S Bandini","year":"2024","unstructured":"Bandini S, Ulivi P, Rossi T. Extracellular vesicles, circulating tumor cells, and immune checkpoint inhibitors: hints and promises. Cells. 2024;13(4):337.","journal-title":"Cells."},{"issue":"47","key":"18066_CR71","doi-asserted-by":"crossref","first-page":"82740","DOI":"10.18632\/oncotarget.21098","volume":"8","author":"KC Ohaegbulam","year":"2017","unstructured":"Ohaegbulam KC, Liu W, Jeon H, et al. Tumor-expressed immune checkpoint B7x promotes cancer progression and antigen-specific CD8 T cell exhaustion and suppressive innate immune cells. Oncotarget. 2017;8(47):82740\u201353.","journal-title":"Oncotarget."},{"issue":"3","key":"18066_CR72","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1111\/exd.14716","volume":"32","author":"S Kawashima","year":"2023","unstructured":"Kawashima S, Togashi Y. Resistance to immune checkpoint inhibitors and the tumor microenvironment. Exp Dermatol. 2023;32(3):240\u20139.","journal-title":"Exp Dermatol."},{"issue":"1","key":"18066_CR73","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1007\/s12672-023-00819-8","volume":"14","author":"G Zhang","year":"2023","unstructured":"Zhang G. Prognostic clinical phenotypes associated with tumor stemness in the immune microenvironment of T-cell exhaustion for hepatocellular carcinoma. Discov Oncol. 2023;14(1):203.","journal-title":"Discov Oncol."},{"key":"18066_CR74","doi-asserted-by":"crossref","first-page":"1267918","DOI":"10.3389\/fimmu.2023.1267918","volume":"14","author":"H Luo","year":"2023","unstructured":"Luo H, Wang W, Mai J, et al. The nexus of dynamic T cell states and immune checkpoint blockade therapy in the periphery and tumor microenvironment. Front Immunol. 2023;14:1267918.","journal-title":"Front Immunol."},{"key":"18066_CR75","volume":"12","author":"X Li","year":"2021","unstructured":"Li X, Wang Y, Li X, et al. The impact of NOTCH pathway alteration on tumor microenvironment and clinical survival of immune checkpoint inhibitors in NSCLC. Front Immunol. 2021;12:638763.","journal-title":"Front Immunol."},{"issue":"S8","key":"18066_CR76","doi-asserted-by":"crossref","first-page":"1449","DOI":"10.1002\/cncr.35270","volume":"130","author":"J Wu","year":"2024","unstructured":"Wu J, Wang W, Gao L, et al. Cyclin-dependent kinase inhibitors enhance programmed cell death protein 1 immune checkpoint blockade efficacy in triple-negative breast cancer by affecting the immune microenvironment. Cancer. 2024;130(S8):1449\u201363.","journal-title":"Cancer."},{"issue":"10","key":"18066_CR77","doi-asserted-by":"crossref","DOI":"10.1136\/jitc-2024-009893","volume":"12","author":"Q Ding","year":"2024","unstructured":"Ding Q, Weng Y, Li Y, et al. Inhibition of PNCK inflames tumor microenvironment and sensitizes head and neck squamous cell carcinoma to immune checkpoint inhibitors. J Immunother Cancer. 2024;12(10):e009893.","journal-title":"J Immunother Cancer."},{"key":"18066_CR78","doi-asserted-by":"crossref","first-page":"1270881","DOI":"10.3389\/fimmu.2023.1270881","volume":"14","author":"JM Benito","year":"2023","unstructured":"Benito JM, Restrepo C, Garc\u00eda-Foncillas J, et al. Immune checkpoint inhibitors as potential therapy for reverting T-cell exhaustion and reverting HIV latency in people living with HIV. Front Immunol. 2023;14:1270881.","journal-title":"Front Immunol."},{"key":"18066_CR79","doi-asserted-by":"crossref","first-page":"1162843","DOI":"10.3389\/fimmu.2023.1162843","volume":"14","author":"X Shen","year":"2023","unstructured":"Shen X, Zuo X, Liang L, et al. Integrating machine learning and single-cell trajectories to analyze T-cell exhaustion to predict prognosis and immunotherapy in colon cancer patients. Front Immunol. 2023;14:1162843.","journal-title":"Front Immunol."},{"key":"18066_CR80","volume":"83","author":"Z Zhang","year":"2022","unstructured":"Zhang Z, Chen L, Chen H, et al. Pan-cancer landscape of T-cell exhaustion heterogeneity within the tumor microenvironment revealed a progressive roadmap of hierarchical dysfunction associated with prognosis and therapeutic efficacy. EBioMedicine. 2022;83:104207.","journal-title":"EBioMedicine."},{"issue":"11","key":"18066_CR81","doi-asserted-by":"crossref","first-page":"1287","DOI":"10.1002\/cac2.12605","volume":"44","author":"S Zeng","year":"2024","unstructured":"Zeng S, Hu H, Li Z, et al. Local TSH\/TSHR signaling promotes CD8+ T cell exhaustion and immune evasion in colorectal carcinoma. Cancer Commun (Lond). 2024;44(11):1287\u2013310.","journal-title":"Cancer Commun (Lond)."},{"issue":"7","key":"18066_CR82","doi-asserted-by":"crossref","first-page":"4131","DOI":"10.1007\/s00432-022-04329-y","volume":"149","author":"\u0141 Zapa\u0142a","year":"2023","unstructured":"Zapa\u0142a \u0141, Kunc M, Sharma S, et al. Immune checkpoint receptor VISTA on immune cells is associated with expression of T-cell exhaustion marker TOX and worse prognosis in renal cell carcinoma with venous tumor thrombus. J Cancer Res Clin Oncol. 2023;149(7):4131\u20139.","journal-title":"J Cancer Res Clin Oncol."},{"issue":"8","key":"18066_CR83","volume":"5","author":"C Chen","year":"2024","unstructured":"Chen C, Zhao F, Peng J, et al. Soluble Tim-3 serves as a tumor prognostic marker and therapeutic target for CD8+ T cell exhaustion and anti-PD-1 resistance. Cell Rep Med. 2024;5(8):101686.","journal-title":"Cell Rep Med."},{"issue":"1","key":"18066_CR84","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1158\/2326-6066.CIR-15-0055","volume":"4","author":"DJ Chung","year":"2016","unstructured":"Chung DJ, Pronschinske KB, Shyer JA, et al. T-cell exhaustion in multiple myeloma relapse after autotransplant: optimal timing of immunotherapy. Cancer Immunol Res. 2016;4(1):61\u201371.","journal-title":"Cancer Immunol Res."},{"issue":"1","key":"18066_CR85","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1186\/s12951-024-02826-5","volume":"22","author":"B Wang","year":"2024","unstructured":"Wang B, Liu W, Zhang M, et al. Circ_0001947 encapsulated by small extracellular vesicles promotes gastric cancer progression and anti-PD-1 resistance by modulating CD8+ T cell exhaustion. J Nanobiotechnology. 2024;22(1):563.","journal-title":"J Nanobiotechnology."},{"issue":"1","key":"18066_CR86","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1186\/s12872-024-03907-x","volume":"24","author":"N Jin","year":"2024","unstructured":"Jin N, Rong J, Chen X, et al. Exploring T-cell exhaustion features in acute myocardial infarction for a novel diagnostic model and new therapeutic targets by bio-informatics and machine learning. BMC Cardiovasc Disord. 2024;24(1):272.","journal-title":"BMC Cardiovasc Disord."},{"key":"18066_CR87","doi-asserted-by":"crossref","first-page":"1392940","DOI":"10.3389\/fimmu.2024.1392940","volume":"15","author":"H Wu","year":"2024","unstructured":"Wu H, Wu Z, Li H, et al. Glycosylphosphatidylinositol anchor biosynthesis pathway-based biomarker identification with machine learning for prognosis and T cell exhaustion status prediction in breast cancer. Front Immunol. 2024;15:1392940.","journal-title":"Front Immunol."},{"key":"18066_CR88","volume":"117","author":"F Jiang","year":"2024","unstructured":"Jiang F, Tao Z, Zhang Y, et al. Machine learning combined with single-cell analysis reveals predictive capacity and immunotherapy response of T cell exhaustion-associated lncRNAs in uterine corpus endometrial carcinoma. Cell Signal. 2024;117:111077.","journal-title":"Cell Signal."},{"key":"18066_CR89","first-page":"0050","volume":"6","author":"R Qi","year":"2023","unstructured":"Qi R, Zou Q. Trends and potential of machine learning and deep learning in drug study at single-cell level. Research (Wash D C). 2023;6:0050.","journal-title":"Research (Wash D C)."},{"issue":"1","key":"18066_CR90","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1007\/s00441-023-03816-z","volume":"394","author":"S Ng","year":"2023","unstructured":"Ng S, Masarone S, Watson D, et al. The benefits and pitfalls of machine learning for biomarker discovery. Cell Tissue Res. 2023;394(1):17\u201331.","journal-title":"Cell Tissue Res."}],"container-title":["Annals of Surgical Oncology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1245\/s10434-025-18066-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1245\/s10434-025-18066-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1245\/s10434-025-18066-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T14:10:05Z","timestamp":1765289405000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1245\/s10434-025-18066-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,18]]},"references-count":90,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,1]]}},"alternative-id":["18066"],"URL":"https:\/\/doi.org\/10.1245\/s10434-025-18066-2","relation":{},"ISSN":["1068-9265","1534-4681"],"issn-type":[{"value":"1068-9265","type":"print"},{"value":"1534-4681","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,18]]},"assertion":[{"value":"8 May 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 July 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 August 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Pengcheng Li, Qiang Guo, Yanfeng Gao, Wanqing Li, and Haiyang Wu declare no conflicts of interest that may be relevant to the contents of this study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval and Consent to Participate"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}}]}}