Evidence map›Paper›PMID 41367875›Full record

ReviewFrontiers in oncology2025

PARP inhibitors as radiosensitizers: a comprehensive review of preclinical evidence and clinical applications.

Xiaodong Luo, Shuo Gao, Kaiyang Sun, Zhiqiang Dong, Shude Yang

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Microenvironmental remodeling in FLASH radiotherapy.Frontiers in cell and developmental biology · 2026
    Review
  5. Article
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.

Xiaodong LuoDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, China.
Shuo GaoDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, China.
Kaiyang SunDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, China.
Zhiqiang DongDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, China.
Shude YangDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poly (ADP ribose) polymerase 1 (PARP1) plays a central role in the response of DNA damage induced by tumor radiotherapy. This paper systematically reviewed the structural and functional characteristics of PARP1 and its molecular mechanism in DNA damage repair, and focused on the preclinical evidence and clinical transformation research progress of PARP inhibitor (parpi) as a radiosensitizer. PARP1 affects the effect of radiotherapy by recognizing DNA breakage, catalyzing par modification and regulating repair pathway, while parpi significantly enhances radiosensitivity by inhibiting DNA repair, inducing synthetic lethal effect and regulating immune microenvironment. Although preclinical studies have shown good prospects in a variety of solid tumors, clinical transformation still faces challenges such as heterogeneity of efficacy and drug resistance mechanism. Future research should focus on precise treatment strategies, joint scheme optimization and drug resistance mechanism exploration, so as to promote the wide application of parpi in radiotherapy. This article presents a narrative review of the preclinical and clinical evidence supporting the use of PARP inhibitors as radiosensitizers.

Indexed as

DNA damage repairPARP1PARP inhibitorsprecision therapyradiosensitizationradiotherapysynthetic lethalitytumor microenvironment

Identifiers

PMID41367875
PMCPMC12682679

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.