Evidence map›Paper›PMID 42793220›Full record

ReviewCurrent issues in molecular biology2026

MicroRNA-Mediated Regulation of Ionizing Radiation Responses: Mechanisms and Advances in Clinical Translation.

Keying Lian, Quan Ma, Xiao Mo, Zhisheng Jiang, Yun Ma

Abstract readReview
In one paragraph

Review in Current issues in molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Keying LianInstitute of Biochemistry and Molecular Biology, Hengyang Medical College, University of South China, Hengyang 421001, China.
Quan MaNuclear Power Institute of China, Chengdu 610213, China.
Xiao MoInstitute of Biochemistry and Molecular Biology, Hengyang Medical College, University of South China, Hengyang 421001, China.
Zhisheng JiangInstitute of Biochemistry and Molecular Biology, Hengyang Medical College, University of South China, Hengyang 421001, China.
Yun MaInstitute of Biochemistry and Molecular Biology, Hengyang Medical College, University of South China, Hengyang 421001, China.ORCID 0000-0001-5893-5317

Funding

National Natural Science Foundation of China 81971087the Hunan Provincial Graduate Student Research Innovation Project CX20251483
6 · The paper itself

Abstract

Ionizing radiation can induce DNA damage through direct or indirect mechanisms and activate the DNA damage response network, thereby influencing cellular repair, cell cycle regulation and cell fate determination. MicroRNAs (miRNAs), as key post-transcriptional regulatory factors, play a vital role in modulating the radiation response and cell fate. This review summarizes radiation-induced changes in miRNA expression and the molecular regulatory mechanisms they mediate, and further discusses recent advances in their application in the assessment of radiation damage, the prediction of radiotherapy response, and therapeutic interventions. Although miRNAs possess significant translational value, their multi-target regulatory characteristics, tissue- and environment-dependence, as well as limitations in clinical detection and delivery systems, continue to hinder their application. In the future, the integration of multi-omics technologies, artificial intelligence analysis and precision delivery strategies is expected to further elucidate the miRNA-mediated radiation response network and advance their application in precision radiology.

Indexed as

DNA damage responseionizing radiationmicroRNAradiosensitivity

Identifiers

PMID42793220
PMCPMC13605008

What OpenQuestion holds

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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.