Evidence map›Paper›PMID 41496642›Full record

ArticleAmerican journal of men's health

Harnessing Ubiquitin-Proteasome System-Related Genes to Identify Subtypes of Bladder Cancer and Reveal Immune Landscape.

Guanyun Shi, Xianfei Zhou, Fan Yang, Tianxing Wang

Abstract read
In one paragraph

Article in American journal of men's health. 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

4 authors.

Guanyun ShiDepartment of Urology, Taizhou Municipal Hospital, Taizhou, China.
Xianfei ZhouDepartment of General Surgery, Taizhou Municipal Hospital, Taizhou, China.
Fan YangDepartment of General Surgery, Taizhou Municipal Hospital, Taizhou, China.
Tianxing WangDepartment of General Surgery, Taizhou Boai Hospital, Taizhou, China.ORCID 0009-0005-8270-9711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ubiquitin-proteasome system (UPS) is intricately linked to the growth and metastasis of numerous types of cancer. However, current analysis on the function and impact of UPS in bladder cancer (BLCA) is still sparse. First, univariate Cox regression analysis was applied to screen survival-associated UPS-related genes (UPSGs). Then, based on the expression of survival-related UPSGs, BLCA patients were divided into three clusters through unsupervised cluster analysis, and the overall survival rate of Cluster 1 and Cluster 3 was higher than that of Cluster 2, but there was no survival difference between Cluster 1 and Cluster 3. Therefore, Cluster 1 + Cluster 3 (Cluster A) and Cluster 2 (Cluster B) were selected for subsequent analysis. The differentially expressed genes of the two clusters were predominantly enriched in signaling pathways such as the Calcium signaling pathway and Cytokine-cytokine receptor interaction. An immune microenvironment analysis revealed that Cluster B patients were characterized by highly infiltrated immunosuppressive cells (M2 macrophages and Tregs) as well as high expression of immune checkpoint genes (such as BTLA and CTLA4). Furthermore, Cluster B exhibited a higher TIDE score. Somatic mutations demonstrated that the mutation rate of Cluster B was higher than that of Cluster A. In addition, candidate drugs for two clusters of patients were predicted, with Lapatinib, Doramapimod, and SCH772984 may be potential drugs for Cluster A patients. Luminespib, Staurosporine, and Dasatinib may be more suitable for Cluster B patients. The study provides a reference for guiding the clinical treatment of BLCA patients.

Indexed as

Proteasome Endopeptidase ComplexUbiquitinUrinary Bladder NeoplasmsHumansMaleProteasome Endopeptidase ComplexUbiquitinbladder cancerfeaturesimmunitymolecular subtypeubiquitin-proteasome system

Identifiers

PMID41496642
PMCPMC12779901

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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.