Evidence map›Paper›PMID 29622565›Full record

ReviewThe Journal of experimental medicine2018

The cGAS-cGAMP-STING pathway connects DNA damage to inflammation, senescence, and cancer.

Tuo Li, Zhijian J Chen

Open access · bronzeAbstract readReview
In one paragraph

Review in The Journal of experimental medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 811 papers.

0numbers the graph read from it
0cells of the map it votes in
811citing papers in PubMed
45.9field-weighted citation impact, top 1% of its field
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

811 citing papers in PubMed, 1,207 citations in OpenAlex.

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  4. Genome stability disrupted by the circRBM39(4,5,6)-RPA2 axis represses breast tumorigenesis.Proceedings of the National Academy of Sciences of the United States of America · 2026
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751 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 1 country.

Tuo LiDepartment of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX tuo.li@utsouthwestern.edu.
Zhijian J ChenDepartment of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX zhijian.chen@utsouthwestern.edu.ORCID 0000-0002-8475-8251
Howard Hughes Medical Institute · USThe University of Texas Southwestern Medical Center · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Detection of microbial DNA is an evolutionarily conserved mechanism that alerts the host immune system to mount a defense response to microbial infections. However, this detection mechanism also poses a challenge to the host as to how to distinguish foreign DNA from abundant self-DNA. Cyclic guanosine monophosphate (GMP)-adenosine monophosphate (AMP) synthase (cGAS) is a DNA sensor that triggers innate immune responses through production of the second messenger cyclic GMP-AMP (cGAMP), which binds and activates the adaptor protein STING. However, cGAS can be activated by double-stranded DNA irrespective of the sequence, including self-DNA. Although how cGAS is normally kept inactive in cells is still not well understood, recent research has provided strong evidence that genomic DNA damage leads to cGAS activation to stimulate inflammatory responses. This review summarizes recent findings on how genomic instability and DNA damage trigger cGAS activation and how cGAS serves as a link from DNA damage to inflammation, cellular senescence, and cancer.

Indexed as

Cellular SenescenceDNA DamageAnimalsHumansInflammationNeoplasmsNucleotides, CyclicNucleotidyltransferasescyclic guanosine monophosphate-adenosine monophosphateNucleotides, CyclicNucleotidyltransferases

Identifiers

PMID29622565
PMCPMC5940270
OpenAlexW2795875233

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.