Evidence map›Paper›PMID 41965789›Full record

ArticleCell death discovery2026

High-throughput strategy for targeting MDM2 in uveal melanoma to reverse radiation therapy resistance.

Qi Zhu, Xi Gong, Sirong Zhang, Jiaqi Zhang, Hongtao Yan

Abstract read
In one paragraph

Article in Cell death discovery, 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.

Qi ZhuDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, China.
Xi GongDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, China.
Sirong ZhangDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, China.
Jiaqi ZhangDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, China.
Hongtao YanDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, China. baiyidayian@jlu.edu.cn.ORCID http://orcid.org/0000-0001-5127-1546

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uveal melanoma (UM) presents a formidable clinical challenge due to its marked resistance to radiotherapy. In this study, an integrative strategy combining machine learning models with high-throughput screening platforms was employed to identify novel small-molecule inhibitors targeting MDM2, with the aim of overcoming this intrinsic resistance. Transcriptome sequencing and machine learning analysis identified MDM2 as a critical gene associated with UM radiotherapy resistance. Integration of single-cell RNA sequencing data revealed key cells contributing to this resistance. In vitro experiments demonstrated that the MDM2 inhibitor SAR405838 effectively increased radiosensitivity in resistant UM cells by modulating p53 activation, suppressing cell migration and invasion, and inducing DNA damage and apoptosis. This novel approach offers a promising therapeutic strategy for combating UM resistance to radiation therapy.

Identifiers

PMID41965789
PMCPMC13180978

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.