Evidence map›Paper›PMID 40663296›Full record

ArticleDiscover oncology2025

Pan-cancer analysis and experimental validation revealed the prognostic role of ZNF83 in renal and lung cancer cohorts.

Peipei Wu, Yu Lin, Fang Dai, Huming Wang, Hantao Wen, Zihan Xu, Gengyun Sun, Zhaojie Lyu

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

8 authors.

Peipei Wu *The First Affiliated Hospital of Anhui Medical University, Peking University Shenzhen Hospital, PKU-Shenzhen Clinical Institute of Anhui Medical University, Shenzhen, 518036, China.
Yu Lin *Department of Urology, Peking University Shenzhen Hospital, PKU-Shenzhen Clinical Institute of Shantou University Medical College, Shenzhen, 518036, China.
Fang Dai *The First Affiliated Hospital of Anhui Medical University, Peking University Shenzhen Hospital, PKU-Shenzhen Clinical Institute of Anhui Medical University, Shenzhen, 518036, China.
Huming WangThe First Affiliated Hospital of Anhui Medical University, Peking University Shenzhen Hospital, PKU-Shenzhen Clinical Institute of Anhui Medical University, Shenzhen, 518036, China.
Hantao WenDepartment of Urology, Peking University Shenzhen Hospital, PKU-Shenzhen Clinical Institute of Shantou University Medical College, Shenzhen, 518036, China.
Zihan XuThe First Affiliated Hospital of Anhui Medical University, Peking University Shenzhen Hospital, PKU-Shenzhen Clinical Institute of Anhui Medical University, Shenzhen, 518036, China.
Gengyun SunDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China. sungengy@126.com.
Zhaojie LyuThe First Affiliated Hospital of Anhui Medical University, Peking University Shenzhen Hospital, PKU-Shenzhen Clinical Institute of Anhui Medical University, Shenzhen, 518036, China. lvzhaojie2022@163.com.

Funding

Guangdong Basic and Applied Basic Research Foundation 2023A1515220164National Natural Science Foundation of China 82073182Natural Science Foundation of Guangdong Province 2024A1515010330Shenzhen Science and Technology Program JCYJ20220531093800001
6 · The paper itself

Abstract

backgroundAbnormal expression of zinc finger (ZNF) proteins is closely associated with tumor proliferation and metastasis. However, due to limited knowledge about ZNF83, we conducted a pan-cancer analysis to explore its shared and distinct roles across various human malignancies.

methodStandardized TCGA pan-cancer data, encompassing clinical details and ZNF83 expression levels, were obtained for in-depth analysis. We assessed the expression landscape of ZNF83, explored its prognostic significance, and examined its relationship with tumor heterogeneity and cellular stemness. Furthermore, immunohistochemical analysis was performed on lung and kidney cancer tissues to support the bioinformatic findings.

resultsZNF83 expression patterns vary markedly among tumor types, with transcriptomic analysis revealing upregulation in eight malignancies and significant downregulation in twenty-two, compared to adjacent non-cancerous tissues. Notably, ZNF83 levels exhibited robust associations with markers indicative of genomic instability and with indices of tumor stemness across multiple cancer types, suggesting a role in genome maintenance and cellular plasticity. Immunohistochemical staining further substantiated these findings, showing elevated ZNF83 protein levels in renal carcinoma samples, whereas reduced expression was observed in lung adenocarcinoma specimens. In renal cancer, higher ZNF83 expression correlated with poorer overall survival, reinforcing its prognostic value. Although the difference in lung adenocarcinoma was not statistically significant, the expression trend was consistent with transcriptomic observations from the TCGA database.

conclusionZNF83 is differentially expressed across cancers and predicts poor prognosis, particularly in renal cell carcinoma, highlighting its utility as a prognostic biomarker.

Indexed as

Lung cancerPan-cancer analysisPrognostic roleRenal cancerZNF83

Identifiers

PMID40663296
PMCPMC12263497

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