Evidence map›Paper›PMID 40629041›Full record

ReviewExperimental & molecular medicine2025

R-loops: a key driver of inflammatory responses in cancer.

Seo Yun Lee, Min Jae Kwak, Jae Jin Kim

Abstract readReview
In one paragraph

Review in Experimental & molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

3 authors.

Seo Yun Lee *Department of Life Science and Multidisciplinary Genome Institute, Hallym University, Chuncheon, Republic of Korea.ORCID http://orcid.org/0000-0003-2552-9990
Min Jae Kwak *Department of Life Science and Multidisciplinary Genome Institute, Hallym University, Chuncheon, Republic of Korea.
Jae Jin KimDepartment of Life Science and Multidisciplinary Genome Institute, Hallym University, Chuncheon, Republic of Korea. jjkim@hallym.ac.kr.ORCID http://orcid.org/0009-0005-6645-8094

Funding

Hallym University (Hallym) HRF-202501-008
6 · The paper itself

Abstract

R-loops, which are noncanonical three-stranded nucleic acid structures formed when RNA hybridizes with complementary DNA strand while displacing the other DNA strand, have emerged as crucial players in cellular homeostasis and cancer pathogenesis. Here we explore the intricate relationship between R-loops and inflammation in the context of cancer development and progression. R-loops can trigger inflammatory responses through various mechanisms, including DNA damage induction, genome instability and activation of innate immune pathways, particularly in cancer cells, where R-loop regulation is frequently dysregulated. In the tumor microenvironment, R-loop-mediated genomic instability contributes to inflammatory signaling cascades, affecting both cancer cells and the surrounding tumor microenvironment. We discuss how aberrant R-loop formation influences key inflammatory pathways, including the cGAS-STING axis and NF-κB signaling, and their subsequent effects on tumor progression. Furthermore, we explored how cancer cells manipulate R-loops to modify their inflammatory microenvironment, potentially affecting their therapeutic responses. Understanding the complex interplay between R-loops and cancer-associated inflammation provides novel insights into tumor biology and opens new avenues for therapeutic intervention. This Review summarizes the current knowledge on R-loop biology in cancer, its inflammatory consequences and potential strategies for targeting R-loop-mediated inflammation in cancer treatment, underscoring the importance of this emerging field in cancer medicine.

Indexed as

InflammationNeoplasmsR-Loop StructuresAnimalsHumansSignal TransductionTumor Microenvironment

Identifiers

PMID40629041
PMCPMC12322051

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.