In one paragraphArticle in Cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
13 authors.
Anyi LiuGI Cancer Research Institute, Tongji Hospital, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-9011-5121 Fan ZuoGI Cancer Research Institute, Tongji Hospital, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China.ORCID 0009-0004-7541-2533 Mao LiGI Cancer Research Institute, Tongji Hospital, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China.ORCID 0009-0003-9502-8515 Lanlan YinGI Cancer Research Institute, Tongji Hospital, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China.ORCID 0009-0002-9198-6989 Dongjing ZhangGI Cancer Research Institute, Tongji Hospital, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China.ORCID 0009-0007-0723-6621 Lang LiuGI Cancer Research Institute, Tongji Hospital, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China.ORCID 0009-0008-8949-3521 Chengxin YuGI Cancer Research Institute, Tongji Hospital, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China.ORCID 0009-0000-9648-2283 Changsheng HuangGI Cancer Research Institute, Tongji Hospital, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-9301-1635 Yaqi ChenGI Cancer Research Institute, Tongji Hospital, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-1472-2624 Qi WuGI Cancer Research Institute, Tongji Hospital, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China.ORCID 0009-0000-2665-5716 Li SunDepartment of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0003-2918-9719 Guihua WangGI Cancer Research Institute, Tongji Hospital, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0001-5423-9357 Junbo HuGI Cancer Research Institute, Tongji Hospital, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-3582-999X Funding
National Key Research and Development Program of China (NKPs) 2022YFA1105303National Key Research and Development Program of China (NKPs) 2023YFC3402100National Natural Science Foundation of China (NSFC) 82273254National Natural Science Foundation of China (NSFC) 82330084National Natural Science Foundation of China (NSFC) 82425041National Natural Science Foundation of China (NSFC) 82503378National Science and Technology Major Project () 2024ZD0520604Natural Science Foundation of Hubei Province () 2024AFB079
6 · The paper itselfAbstract
T-cell exhaustion in the tumor microenvironment undermines antitumor immunity and limits immunotherapy efficacy. Further defining the metabolic triggers of this dysfunctional state could provide therapeutic targets for circumventing immunosuppression. In this study, we identified soluble uric acid (UA)-an abundant purine metabolite frequently elevated in patients with cancer-as a metabolic checkpoint that drives the exhaustion of CD8+ T cells and immune evasion in colorectal cancer. In hyperuricemic mouse models, elevated UA accelerated tumor progression in immunocompetent hosts, but not in T cell-deficient ones, by functionally exhausting tumor-infiltrating CD8+ T cells. Mechanistically, UA directly bound the kinase scaffold kinase suppressor of Ras 1 (KSR1) and hyperactivated MEK-ERK signaling, leading to chronic MAPK stimulation that upregulated inhibitory receptors, including PD-1 and Tim-3, on CD8+ T cells and blunted their cytotoxic function. Genetic disruption of this UA-KSR1-MAPK axis via Tim-3 knockout or Ksr1 knockdown restored T-cell effector activity and tumor control. Notably, pharmacologic UA depletion with the clinical xanthine oxidase inhibitor febuxostat reinvigorated CD8+ T cells, slowing tumor growth and markedly enhancing the efficacy of both chemotherapy and adoptive T-cell therapy in vivo. These findings establish soluble UA as a metabolic immune checkpoint that subverts antitumor T-cell immunity. Targeting UA metabolism may offer a strategy to overcome immune resistance and improve the efficacy of cancer immunotherapies. SIGNIFICANCE: A common metabolic byproduct, soluble uric acid, can act as an immune checkpoint that drives T-cell exhaustion, redefining how systemic metabolism shapes cancer progression.
Indexed as
CD8-Positive T-LymphocytesColorectal NeoplasmsUric AcidAnimalsCell Line, TumorHepatitis A Virus Cellular Receptor 2HumansMAP Kinase Signaling SystemMiceT-Cell ExhaustionTumor MicroenvironmentHepatitis A Virus Cellular Receptor 2Uric Acid
Identifiers
PMID42118604
PMCPMC13370115
What OpenQuestion holds
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LicenceCC BY-NC-ND
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