Evidence map›Paper›PMID 40957398›Full record

ArticleTranslational oncology2025

A CEBPB/TYMP/GDF15 signaling axis mediates tumor growth and cisplatin resistance in bladder cancer.

Shuo Tian, Chuang Wang, Xupeng Zhao, Yundong Xuan, Wenjie Wei, Yuhao Dong, Wen Tao, Chi Zhang, Tianwei Cai, Chunyu Liu and 2 more

Abstract read
In one paragraph

Article in Translational oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  5. Review
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

12 authors.

Shuo TianDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China; Department of Urology Laboratory, Chinese PLA General Hospital, Beijing, China; Medical School of PLA, Beijing, China.
Chuang WangDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China; Department of Urology Laboratory, Chinese PLA General Hospital, Beijing, China; Medical School of PLA, Beijing, China.
Xupeng ZhaoDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China; Department of Urology Laboratory, Chinese PLA General Hospital, Beijing, China; School of Medicine, Nankai University, Tianjin, China.
Yundong XuanDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China.
Wenjie WeiDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China; Department of Urology Laboratory, Chinese PLA General Hospital, Beijing, China; Medical School of PLA, Beijing, China.
Yuhao DongDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China; Department of Urology Laboratory, Chinese PLA General Hospital, Beijing, China; Medical School of PLA, Beijing, China.
Wen TaoDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China; Department of Urology Laboratory, Chinese PLA General Hospital, Beijing, China; Medical School of PLA, Beijing, China.
Chi ZhangDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China; Department of Urology Laboratory, Chinese PLA General Hospital, Beijing, China; Medical School of PLA, Beijing, China.
Tianwei CaiDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China; Department of Urology Laboratory, Chinese PLA General Hospital, Beijing, China; Medical School of PLA, Beijing, China.
Chunyu LiuDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China; Department of Urology Laboratory, Chinese PLA General Hospital, Beijing, China; Medical School of PLA, Beijing, China.
Yan HuangDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China; Department of Urology Laboratory, Chinese PLA General Hospital, Beijing, China. Electronic address: dr.huangyan301@foxmail.com.
Xu ZhangDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China. Electronic address: xzhang301@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cisplatin-based chemotherapy remains the standard treatment for muscle-invasive bladder cancer (BC), yet resistance significantly limits its long-term efficacy. Reliable biomarkers for prognosis and therapeutic guidance are also lacking. Here, we identify thymidine phosphorylase (TYMP) as an independent prognostic risk factor that promotes BC progression and mediates cisplatin resistance. Bioinformatic analyses of TCGA and GEO datasets revealed elevated TYMP expression in BC tissues, correlating with poor patient outcomes. Functional studies in UMUC3, T24, and MB49 cell lines, as well as in syngeneic mouse models, demonstrated that TYMP knockdown suppressed BC cell proliferation, migration, invasion, and epithelial-mesenchymal transition (EMT), while enhancing cisplatin sensitivity. Pharmacological inhibition of TYMP using TAS-102 significantly augmented cisplatin-induced cytotoxicity in vivo. Mechanistically, the transcription factor CEBPB directly bound to and activated the TYMP promoter, thereby upregulating GDF15 expression and driving tumor growth and chemoresistance. TYMP expression positively correlated with both CEBPB and GDF15 levels in public datasets. Collectively, our findings define a CEBPB/TYMP/GDF15 signaling axis that fosters BC progression and cisplatin resistance and highlight TYMP as a novel prognostic biomarker and potential therapeutic target, with TAS-102 offering a promising strategy for overcoming cisplatin resistance.

Indexed as

Bladder cancerCisplatin-resistanceTYMP

Identifiers

PMID40957398
PMCPMC12465046

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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.