Evidence map›Paper›PMID 36721217›Full record

ArticleStem cell research & therapy2023

Tumor stemness score to estimate epithelial-to-mesenchymal transition (EMT) and cancer stem cells (CSCs) characterization and to predict the prognosis and immunotherapy response in bladder urothelial carcinoma.

Yanlong Zhang, Xin Zhang, Xuefeng Huang, Xiaomeng Tang, Menghan Zhang, Ziyi Li, Xiaopeng Hu, Min Zhang, Xi Wang, Yong Yan

Open access · goldAbstract read
In one paragraph

Article in Stem cell research & therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
7.6field-weighted citation impact, top 2% of its field
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

23 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
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  6. The promising arsenal of ferroptosis inducers in bladder cancer.Journal of molecular medicine (Berlin, Germany) · 2025
    Review
  7. Article
  8. Article
  9. EMT and cancer: what clinicians should know.Nature reviews. Clinical oncology · 2025
    Review
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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 at 1 institution in 1 country.

Yanlong Zhang *Department of Urology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Xin Zhang *Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Xuefeng Huang *Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Xiaomeng TangBeijing Ditan Hospital, Capital Medical University, Beijing, China.
Menghan ZhangBeijing Ditan Hospital, Capital Medical University, Beijing, China.
Ziyi LiBeijing Ditan Hospital, Capital Medical University, Beijing, China.
Xiaopeng HuDepartment of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Min ZhangDepartment of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China. zhangm0601@ccmu.edu.cn.
Xi WangBeijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China. xiwang@ccmu.edu.cn.
Yong YanDepartment of Urology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China. yanyongsjt@163.com.ORCID 0000-0002-8192-2378
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA growing number of investigations have suggested a close link between cancer stem cells (CSCs), epithelial-to-mesenchymal transition (EMT), and the tumor microenvironment (TME). However, the relationships between these physiological processes in bladder urothelial carcinoma (BLCA) remain unclear.

methodsWe first explored biomarkers of tumor stemness (TS) by single-cell sequencing analysis. Then, subtypes of bladder urothelial carcinoma (BLCA) were identified using clustering analysis based on TS biomarkers. The TS score was constructed using principal component analysis to quantify tumor stemness in BLCA. Then, meta-analysis was performed to measure the hazard ratio of the TS score in BLCA cohorts. Moreover, we evaluated the clinical value of the TS score for predicting the response to tumor immunotherapy using immunotherapy cohorts. Finally, we built an EMT cell model by treating T24 cells with TGF-β and validated the relationship between the TS score and the EMT process in tumors by real-time quantitative PCR, cell invasion assays, and RNA-seq. In total, 3846 BLCA cells, 6 cell lines, 1627 BLCA samples, and 9858 samples from 32 other types of tumors were included in our study.

resultsThree TS clusters and two TS-related gene clusters were identified with differential EMT activity status, CSC features, and TME characteristics in BLCA. Then, a TS scoring system was established with 61 TS-related genes to quantify the TS. The prognostic value of the TS score was then confirmed in multiple independent cohorts. A high TS score was associated with high EMT activity, CSC characteristics, high stromal cell content, high TP53 mutation rate, poor prognosis, and high tumor immunotherapy tolerance. The cell line experiment and RNA-seq further validated that our TS score can reflect the EMT and CSC characterization of tumor cells.

conclusionOverall, this research provides a better understanding of tumor invasion and metastasis mechanisms through an analysis of TS patterns with different EMT processes and CSC characteristics. The TS score provides an index for EMT and CSC research and helps clinicians develop treatment plans and predict outcomes for patients.

Indexed as

Carcinoma, Transitional CellImmunotherapyUrinary Bladder NeoplasmsEpithelial-Mesenchymal TransitionHumansNeoplastic Stem CellsTumor MicroenvironmentUrinary BladderBladder urothelial carcinoma (BLCA)Cancer stem cells (CSCs)Epithelial-to-mesenchymal transition (EMT)ImmunotherapyPrognostic biomarkerSingle-cell sequencingTumor immunology

Identifiers

PMID36721217
PMCPMC9890713
OpenAlexW4318683748

What OpenQuestion holds

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LicenceCC BY
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.