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
11 authors.
Mao Li *GI 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 Yaqi Chen *GI 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 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 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 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 Da SongGI 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 0009-0007-2990-4731 Fuqing 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 0000-0001-8774-9791 Jingqin LanGI 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 0009-0002-1814-7142 Chen HuangDepartment of Gastrointestinal Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-1840-5765 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 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 Funding
Huazhong University of Science and Technology (HUST) 2023BR036Major Technology Innovation of Hubei Province SCZ202409National Key Research and Development Program of China (NKPs) 2022YFA1105303National Key Research and Development Program of China (NKPs) 2023yfc3402100National Natural Science Foundation of China (NSFC) 82330084National Natural Science Foundation of China (NSFC) 82403349National Natural Science Foundation of China (NSFC) 82425041National Natural Science Foundation of China (NSFC) 82503378National Natural Science Foundation of China (NSFC) 82504215Natural Science Foundation of Hubei Province () 2021CFA006Natural Science Foundation of Hubei Province () 2024AFB048Natural Science Foundation of Hubei Province () 2024AFB079
6 · The paper itselfAbstract
Regulatory T (Treg) cells within the tumor microenvironment critically undermine the efficacy of PD-1 immune checkpoint blockade. Metabolic reprogramming has emerged as a critical determinant of antitumor immunity, highlighting the need to define the metabolic cues that program Treg differentiation in cancer. In this study, we identified the purine biosynthesis intermediate succinylaminoimidazole carboxamide ribose-5'-phosphate (SAICAR) as a key metabolic driver of Treg induction and resistance to anti-PD-1 immunotherapy. Mechanistically, SAICAR directly bound to the serine/threonine phosphatase PPM1A, inhibiting SMAD3 dephosphorylation and thereby sustaining TGFβ-SMAD3 signaling. Persistent SMAD3 activation enhanced FOXP3 transcription and stabilized the Treg lineage. In both human tumors and mouse models, elevated intratumoral SAICAR levels were associated with increased Treg accumulation, suppression of effector T-cell function, and failure of PD-1 blockade. Genetic or pharmacologic reduction of SAICAR restored antitumor immunity and sensitized tumors to PD-1 therapy. Notably, low-dose 6-mercaptopurine disrupted SAICAR-driven immunosuppression and synergized with anti-PD-1 treatment without inducing systemic immune toxicity. Together, these findings establish SAICAR as an immunometabolic regulator that links purine metabolism to immune evasion and highlight a therapeutically actionable pathway to overcome metabolite-driven resistance to immune checkpoint blockade. SIGNIFICANCE: SAICAR is necessary and sufficient to drive Treg-mediated immunosuppression in the tumor microenvironment, linking tumor metabolism and immunosuppression and providing mechanistic insights for metabolism-guided combination immunotherapy.
Indexed as
Drug Resistance, NeoplasmForkhead Transcription FactorsNeoplasmsT-Lymphocytes, RegulatoryAnimalsCell DifferentiationCell Line, TumorHumansImmune Checkpoint InhibitorsImmunotherapyMiceProgrammed Cell Death 1 ReceptorSmad3 ProteinTumor MicroenvironmentForkhead Transcription FactorsFOXP3 protein, humanImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorSmad3 Protein
Identifiers
PMID41671386
PMCPMC13136876
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