Evidence map›Paper›PMID 42682391›Full record

ArticleInternational journal of surgery (London, England)2026

Sanhe Liu, Yiqi Wang, Shubin Peng, Jianli Wang, Diansheng Cui, Kangli Deng, Lei Huang, Neng An, Liqun Duan, Shaozhong Wei

Abstract read
In one paragraph

Article in International journal of surgery (London, England), 2026. 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. Coordinated Expression of ADC TargetsCurrent issues in molecular biology · 2026
    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

10 authors.

Sanhe LiuDepartment of Urology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yiqi WangCollege of Biomedical Engineering, Hubei University of Medicine, Shiyan, Hubei, China.
Shubin PengDepartment of Urology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jianli WangDepartment of Urology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Diansheng CuiDepartment of Urology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Kangli DengDepartment of Urology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Lei HuangDepartment of Urology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Neng AnDepartment of Urology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Liqun DuanDivision of Infection and Immunity, Systems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff, UK.
Shaozhong WeiDepartment of Urology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Current single-cell and spatial transcriptomic studies on bladder cancer tissue samples are limited, highlighting the need for advanced molecular and single-cell approaches to enhance our understanding of these complexities and identify reliable prognostic indicators. Materials and methods: We integrated and analyzed five publicly available single-cell RNA-seq datasets, totaling over 530 000 cells from 62 bladder cancer and normal samples, conducting comprehensive analyses that were validated using single-nucleus and spatial transcriptomic datasets. Additionally, spatial transcriptomics findings were confirmed through RNA fluorescence in situ hybridization. Results: Our integrated single-cell analysis uncovered stage-dependent heterogeneity in bladder cancer, with malignant epithelial cells exhibiting dynamic trajectories and enrichment in the PI3K-AKT-mTOR pathway. A distinct subcluster of malignant epithelial cells characterized by the highest basal score (C8) was identified; this subpopulation appears to be specifically regulated by Conclusion: Our study demonstrates that

Indexed as

bladder cancerimmunosuppressive microenvironmentMIF–CD74PI3K–AKT–mTORprognosisRUNX3+ basal-like malignant epithelial cells

Identifiers

PMID42682391
PMCPMC13336699

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.