Evidence map›Paper›PMID 39044064›Full record

ArticleMolecular biotechnology2025

Prognostic and Potential Therapeutic Roles of PRKDC Expression in Lung Cancer.

Jiani Xiong, Cuimin Deng, YunRong Fu, Jingji Tang, Jieming Xie, Yu Chen

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In one paragraph

Article in Molecular biotechnology, 2025. 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. 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

6 authors.

Jiani Xiong *Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
Cuimin Deng *Department of Pharmacy, QuanZhou Women's and Children's Hospital, Quanzhou, Fujian Province, People's Republic of China.ORCID http://orcid.org/0000-0002-0900-0248
YunRong Fu *Department of Pharmacology, College of Pharmacy, Fujian Medical University, Fuzhou, Fujian, China.
Jingji TangDepartment of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
Jieming XieDepartment of Pharmacology, College of Pharmacy, Fujian Medical University, Fuzhou, Fujian, China. jmxie@fjmu.edu.cn.
Yu ChenDepartment of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian Province, China. chenyu1980@fjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PRKDC is a key factor involved in the ligation step of the non-homologous end joining pathway. Its dysfunction has proven to be a biomarker for radiosensitivity of cancer cells. However, the prognostic value of PRKDC and its underlying mechanisms have not been clarified yet. In this study, we found that PRKDC overexpressed in lung adenocarcinoma (LUAD) and is significantly related to unfavorable survival, while downregulation of PRKDC is link to inflamed tumor immune signature. Our further in vitro results also showed a potent antitumor efficacy of PRKDC inhibitors alone or combined with cisplatin in human lung cancer cells. This study demonstrated that PRKDC is a potential prognostic biomarker, immunotherapy target, and promising combination candidate for chemotherapy for lung cancer, and highlighted the potential of PRKDC-targeted inhibitors for the treatment of lung cancer.

Indexed as

Adenocarcinoma of LungLung NeoplasmsAntineoplastic AgentsBiomarkers, TumorCell Line, TumorCisplatinFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisAntineoplastic AgentsBiomarkers, TumorCisplatinChemotherapeutic responseImmunotherapeutic responseLung cancerPRKDCPrognostic biomarker

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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.