Evidence map›Paper›PMID 42409781›Full record

ReviewCell death discovery2026

The emerging Nexus of STING signaling and ferroptosis: from mechanisms to therapeutic opportunities.

Xixi Lin, Yihong Wen, Jiaheng Lang, Ziyu Zhu, Zijie Guo, Linbo Wang, Feiyang Ji, Lili Zhi, Jichun Zhou

Abstract readReview
In one paragraph

Review in Cell death discovery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Xixi Lin *Department of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yihong Wen *Department of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jiaheng Lang *Department of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Ziyu ZhuDepartment of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zijie GuoDepartment of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Linbo WangDepartment of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China. linbowang@zju.edu.cn.ORCID http://orcid.org/0000-0003-0526-1990
Feiyang JiDepartment of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China. feiyangji@zju.edu.cn.ORCID http://orcid.org/0000-0002-0710-0739
Lili ZhiDepartment of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China. 3324137@zju.edu.cn.ORCID http://orcid.org/0009-0007-9023-2495
Jichun ZhouDepartment of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China. jichun-zhou@zju.edu.cn.ORCID http://orcid.org/0000-0002-0727-4034

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81602471National Natural Science Foundation of China (National Science Foundation of China) 81672729National Natural Science Foundation of China (National Science Foundation of China) 81972453National Natural Science Foundation of China (National Science Foundation of China) 81972597National Natural Science Foundation of China (National Science Foundation of China) 82272855Natural Science Foundation of Zhejiang Province (Zhejiang Provincial Natural Science Foundation) LR22H160011Natural Science Foundation of Zhejiang Province (Zhejiang Provincial Natural Science Foundation) LY19H160055Natural Science Foundation of Zhejiang Province (Zhejiang Provincial Natural Science Foundation) LY19H160059
6 · The paper itself

Abstract

The cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) pathway, a cornerstone of innate immunity, and ferroptosis, an iron-dependent form of regulated cell death driven by lipid peroxidation, have traditionally been studied as distinct entities. However, emerging evidence reveals a complex and bidirectional crosstalk between these two pathways with profound implications for disease pathogenesis and therapy. This review systematically synthesizes the current understanding of the multifaceted interactions between the cGAS-STING pathway and ferroptosis. We detail the mechanisms by which STING signaling promotes ferroptosis through iron metabolism (e.g., NCOA4-mediated ferritinophagy), lipid peroxidation (e.g., via ACSL4 interaction), and GPX4 autophagic degradation. Conversely, we explore how ferroptosis, through mitochondrial DNA release and lipid peroxidation products, can activate the cGAS-STING pathway, amplifying immune and inflammatory responses. A novel, non-canonical role for mitochondrially-localized cGAS in suppressing ferroptosis independent of STING is also highlighted, adding a layer of complexity to this interplay. We consolidate evidence of this crosstalk across a spectrum of diseases, including cancer, infectious diseases, neurodegenerative disorders, and ischemia-reperfusion injuries. In cancer, leveraging this interplay-particularly by inducing ferroptosis to activate STING-dependent anti-tumor immunity-presents promising therapeutic strategies. In contrast, for inflammatory and organ injuries, concurrent inhibition of both pathways may mitigate damage. This review underscores the STING-ferroptosis axis as a critical regulatory node and a promising frontier for developing novel therapeutic interventions across diverse human diseases.

Identifiers

PMID42409781
PMCPMC13619564

What OpenQuestion holds

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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.