Evidence map›Paper›PMID 40034247›Full record

ReviewBladder cancer (Amsterdam, Netherlands)

Single-cell RNA sequencing and spatial transcriptome analysis in bladder cancer: Current status and future perspectives.

Kentaro Yoshihara, Kagenori Ito, Takahiro Kimura, Yusuke Yamamoto, Fumihiko Urabe

Abstract readReview
In one paragraph

Review in Bladder cancer (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. International journal of surgery (London, England) · 2026
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  5. Review
  6. The metastasis landscape ofFrontiers in immunology · 2026
    Article
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  11. Review
  12. Article
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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

5 authors.

Kentaro YoshiharaDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0009-0008-7057-9712
Kagenori ItoDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4970-1727
Takahiro KimuraDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.
Yusuke YamamotoLaboratory of Integrative Oncology, National Cancer Center Research Institute, Tokyo, Japan.
Fumihiko UrabeDepartment of Urology, The Jikei University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-2599-8183

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bladder cancer is one of the most prevalent malignancies, and the mechanisms underlying its progression and the role of the tumor microenvironment (TME) are unclear. Recent advancements in single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) enable detailed analysis of the cellular heterogeneity, gene expression, and cell-cell interactions in bladder diseases. Methodology: We conducted a comprehensive search for recent articles that have investigated bladder diseases using scRNA-seq and ST. Results: scRNA-seq and ST have led to significant discoveries in bladder disease research. These technologies have enabled the identification of multiple molecular subtypes within individual tumors and of the mechanisms of treatment resistance. Additionally, molecular differences based on gender have been explored, explaining the heterogeneity of the incidence and progression of bladder cancer. These findings deepen our understanding of the pathology of bladder diseases and highlight the transformative potential of scRNA-seq and ST in identifying novel biomarkers and therapeutic targets. Conclusions: Integrating scRNA-seq and ST has considerably enhanced our understanding of tumor heterogeneity and the tumor microenvironment within tissues. These insights may lead to the development of personalized therapies and the improvement of patient outcomes. Several challenges, such as technical limitations and access difficulties, need to be addressed for the future clinical application of these technologies.

Indexed as

bladder cancercell-cell interactionssingle-cell RNA sequencingspatial transcriptomicstumor microenvironment

Identifiers

PMID40034247
PMCPMC11864234

What OpenQuestion holds

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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.