Evidence map›Paper›PMID 41624832›Full record

ReviewFrontiers in immunology2025

cGAS-STING signaling: a therapeutic target in inflammatory bowel disease and related colorectal cancer.

Xi Chen, Xiaohua Tang, Sixuan Chen, Yang Ye, Fei Mao

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What 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 registry

The 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 literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xi Chen *Department of laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China.
Xiaohua Tang *The People's Hospital of Danyang, Affiliated Danyang Hospital of Nantong University, Jiangsu University, Zhenjiang, Jiangsu, China.
Sixuan ChenDepartment of laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China.
Yang YeDepartment of laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China.
Fei MaoDepartment of laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) signaling pathway is a critical mechanism of DNA sensing in innate immunity. Activation of this pathway can induce the production of interferons and proinflammatory cytokines. In the intestine, this pathway exhibits bidirectional regulatory properties, with appropriate activation maintaining homeostasis and inhibiting tumorigenesis, while excessive activation leads to inflammatory responses. A thorough exploration of the molecular mechanisms and regulatory networks of the cGAS-STING signaling pathway offers a significant theoretical foundation and potential treatment targets for developing novel strategies to treat intestinal diseases. This review summarizes the most recent developments on the function of the cGAS-STING regulatory pathway in colorectal tumors and inflammatory bowel disease. It discusses targeted therapeutic approaches that interfere with this pathway.

Indexed as

Colorectal NeoplasmsInflammatory Bowel DiseasesMembrane ProteinsNucleotidyltransferasesAnimalscGAS-STING Signaling PathwayCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseHumansImmunity, InnateMolecular Targeted TherapySignal TransductionSTING ProteincGAS protein, humanCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseMembrane ProteinsNucleotidyltransferasesSTING1 protein, humanSTING ProteinCGAScolorectal cancerinflammatory bowel diseaseSTINGtherapy

Identifiers

PMID41624832
PMCPMC12852320

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.