Evidence map›Paper›PMID 41864496›Full record

ReviewDrug discovery today2026

cGAS-STING pathway in lung cancer and emerging therapeutic approaches.

Anuva Joshi, Enver Cagri Izgu

Abstract readReview
In one paragraph

Review in Drug discovery today, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Anuva JoshiDepartment of Chemistry and Chemical Biology, Rutgers University, New Brunswick, NJ 08854, USA.
Enver Cagri IzguDepartment of Chemistry and Chemical Biology, Rutgers University, New Brunswick, NJ 08854, USA; Rutgers Cancer Institute, New Brunswick, NJ 08901, USA; Rutgers Center for Lipid Research, New Jersey Institute for Food, Nutrition, and Health, Rutgers University, New Brunswick, NJ 08901, USA. Electronic address: ec.izgu@rutgers.edu.

Funding

SMALL-MOLECULE AND NUCLEIC ACID ENGINEERING TOWARD MOLECULAR DESIGNS OF THERAPEUTIC POTENTIALR35GM155002 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI Enver C Izgu · 2024 to 2026
$1.2M
NIGMS NIH HHS R35 GM155002
6 · The paper itself

Abstract

Lung cancer is an aggressive malignancy with one of the highest mortality rates among cancers. The cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) signaling pathway, a central mediator of immunity, is frequently attenuated in lung cancer through a variety of mechanisms. This attenuation facilitates immune evasion while creating both a significant clinical challenge and a major therapeutic opportunity. Here, we analyze how lung cancer subtypes disrupt the cGAS-STING pathway and evaluate emerging therapeutic strategies, including STING agonism, epigenetic reactivation, metabolic and enzymatic targeting, and combination regimens with immunotherapy and radiotherapy. Precision tuning of cGAS-STING activity offers a promising avenue to reshape the tumor microenvironment and overcome tumor progression in lung cancer.

Indexed as

Lung NeoplasmsMembrane ProteinsNucleotidyltransferasesAnimalscGAS-STING Signaling PathwayCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseHumansImmunotherapyMolecular Targeted TherapySignal TransductionSTING ProteinTumor MicroenvironmentcGAS protein, humanCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseMembrane ProteinsNucleotidyltransferasesSTING1 protein, humanSTING ProteincGAS-STINGcyclic dinucleotideDNA damage responseimmune checkpoint inhibitorimmune evasionlung canceroncogenic mutationradiotherapySTING agonisttargeted therapytumor microenvironment

Identifiers

PMID41864496
PMCPMC13386545

What Socratic holds

Textmetadata
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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 Socratic graph.