Evidence mapPaperPMID 40894285Full record

ArticleCurrent urology2025

Applications and prospects of spatial transcriptomics in prostate cancer research: A narrative review.

Yiling Jin, Zhiming Bai, Gang Wang, Yu Zhang, Jing Chen

Abstract read
In one paragraph

Article in Current urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

5 authors.

Yiling JinDepartment of Radiology, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, China.
Zhiming BaiDepartment of Urology, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, China.
Gang WangDepartment of Urology, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, China.
Yu ZhangCollege of Computer Science and Cyberspace Security, Hainan University, Haikou, China.
Jing ChenDepartment of Radiology, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial transcriptomics, an increasingly prominent technique, has been extensively utilized to examine tumors within the digestive tract (such as liver and colorectal cancers) and the nervous system. However, its application in prostate cancer research remains comparatively limited. This article provides a detailed overview of the principles and features of spatial transcriptomics, particularly highlighting its applications in studying the tumor microenvironment, heterogeneity, and clinical implications in prostate cancer. Through a systematic review and analysis of current literature, we identify the main focus areas and limitations of existing research on spatial transcriptomics and suggest potential future research directions.

Indexed as

Cancer researchProstate cancerSpatial transcriptomics

Identifiers

PMID40894285
PMCPMC12398377

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.