Evidence map›Paper›PMID 42493447›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2026

[Development of a 36-gene signature for predicting recurrence in non-muscle-invasive bladder cancer and validation in a Chinese cohort].

Liyuan Dong, Yun Peng, Yuxuan Song, Xiaoyang Li, Yiqing DU, Tao Xu

Abstract readValidation StudyEnglish Abstract
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Liyuan DongDepartment of Urology, Peking University People's Hospital, Beijing 00044, China.
Yun PengDepartment of Urology, Peking University People's Hospital, Beijing 00044, China.
Yuxuan SongDepartment of Urology, Peking University People's Hospital, Beijing 00044, China.
Xiaoyang LiDepartment of Urology, Peking University People's Hospital, Beijing 00044, China.
Yiqing DUDepartment of Urology, Peking University People's Hospital, Beijing 00044, China.
Tao XuDepartment of Urology, Peking University People's Hospital, Beijing 00044, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a transcriptomic-based recurrence prediction model for non-muscle-invasive bladder cancer (NMIBC), to comprehensively validate its efficacy in an independent Chinese cohort, and to explore the underlying biological mechanisms driving tumor recurrence.

methodsTranscriptome profiling data from the multicenter European Urothelial Cancer Molecular Classification Consortium (UROMOL) cohort (

resultsA 36-gene prognostic signature was identified from 12 170 genes to construct the risk score model. In the training cohort, the model achieved a concordance index (C-index) of 0.702 (95%

conclusionThe 36-gene signature developed in this study demonstrates favorable predictive performance and stability across both the training and independent Chinese cohorts. While exhibiting comparable predictive efficacy to the traditional EORTC scoring system, the model serves as an independent prognostic factor that provides crucial supplementary molecular stratification. Furthermore, the model underscores the critical roles of energy metabolism and ECM remodeling in NMIBC recurrence, providing a valuable molecular basis for precise individualized management of NMIBC patients in China.

Indexed as

Gene Expression ProfilingNeoplasm Recurrence, LocalNon-Muscle Invasive Bladder NeoplasmsTranscriptomeUrinary Bladder NeoplasmsAgedChinaCohort StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedPrognosisCohort studiesGene signaturesNeoplasm recurrenceNon-muscle-invasive bladder cancerPrediction

Identifiers

PMID42493447
PMCPMC13402069

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.