Evidence map›Paper›PMID 41266831›Full record

ArticleDiscover oncology2025

DCUN1D5 is a novel potential biomarker for predicting the prognosis of bladder cancer.

Xiaomin Han, Lanqi Li, Yuzhe Jia, Lijuan Ai, Xingyu Wang, Chen Xu, Rui Guo, Rihan Wu, Yilin Dong, Shouyu Fang and 9 more

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 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

19 authors.

Xiaomin Han *Cancer Biology Institute, Baotou Medical College, Baotou, China.
Lanqi Li *Cancer Biology Institute, Baotou Medical College, Baotou, China.
Yuzhe Jia *Cancer Biology Institute, Baotou Medical College, Baotou, China.
Lijuan Ai *Cancer Biology Institute, Baotou Medical College, Baotou, China.
Xingyu Wang *Cancer Biology Institute, Baotou Medical College, Baotou, China.
Chen XuCancer Biology Institute, Baotou Medical College, Baotou, China.
Rui GuoCancer Biology Institute, Baotou Medical College, Baotou, China.
Rihan WuAffiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Yilin DongCancer Biology Institute, Baotou Medical College, Baotou, China.
Shouyu FangCancer Biology Institute, Baotou Medical College, Baotou, China.
Ruixue LiCancer Biology Institute, Baotou Medical College, Baotou, China.
Jiaming ZhangCancer Biology Institute, Baotou Medical College, Baotou, China.
Jiaxin LuoCancer Biology Institute, Baotou Medical College, Baotou, China.
Ziqi ZhouCancer Biology Institute, Baotou Medical College, Baotou, China.
Yiju WeiMedical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical science, Jinan, China.
Li YangCancer Biology Institute, Baotou Medical College, Baotou, China. 436094297@qq.com.
Hongge JuCancer Biology Institute, Baotou Medical College, Baotou, China. juhongge1088@163.com.
Qiang MaCancer Biology Institute, Baotou Medical College, Baotou, China. maqiang@btmc.edu.cn.
Kewen ZhengDepartment of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. zkw2121@163.com.

Funding

Inner Mongolia Science and Technology Plan 2023YFSH0055the Central Guidance for Local Science and Technology Development Funds Project 2024ZY0043the Research Program of Science and Technology at Universities of Inner Mongolia NJZY22052the Zhejiang Province Medical and Health Science and Technology Plan 2023RC199
6 · The paper itself

Abstract

Bladder cancer is a malignant tumor ranks among the most common urogenital malignancies. Treatment efficacy specifically in MIBC remains suboptimal due to profound tumor heterogeneity. Gene and protein biomarkers provide the opportunity for precise diagnosis and treatment. In this study, by using bioinformatic portals, we identified DCUN1D5 as an upregulated gene that may influence pan-cancer prognosis. Its expression showed significant differences across histological grades and tumor subtypes in BLCA. We found that co-expression genes of DCUN1D5 were enriched in translation initiation factor activity and methyltransferase activity, suggesting potential regulatory mechanisms of DCUN1D5. Furthermore, we validated the prognostic role of DCUN1D5 in BLCA through immunohistochemical analysis of 56 tissue microarray samples. The relationship between DCUN1D5 expression and clinicopathological parameters of BLCA was analyzed by Chi-square test, and result was consistent with bioinformatic analysis. In conclusion, we identified DCUN1D5 as a novel potential Biomarker for predicting the prognosis of BLCA.

Indexed as

Bladder cancerCo-expression networkDCUN1D5ImmunohistochemistryPrognosis

Identifiers

PMID41266831
PMCPMC12748430

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.