Evidence map›Paper›PMID 39470950›Full record

ReviewCell regeneration (London, England)2024

Application and new findings of scRNA-seq and ST-seq in prostate cancer.

Zhuang Li, Zhengnan Li, Yuanyuan Luo, Weiming Chen, Yinyi Fang, Yuliang Xiong, Qinyi Zhang, Dongbo Yuan, Bo Yan, Jianguo Zhu

Abstract readReview
In one paragraph

Review in Cell regeneration (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. The innate immune mediator group IIA secreted phospholipase AFrontiers in cell and developmental biology · 2026
    Article
  5. Review
  6. 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

10 authors.

Zhuang LiDepartment of Urology, Affiliated Hospital of Guizhou Medical University, Guiyang city, 550004, Guizhou Province, China.
Zhengnan LiGraduate School of Zunyi Medical University, Zunyi City, 563099, Guizhou Province, China.
Yuanyuan LuoMedical College of Guizhou University, Guiyang city, 550025, Guizhou Province, China.
Weiming ChenMedical College of Guizhou University, Guiyang city, 550025, Guizhou Province, China.
Yinyi FangMedical College of Guizhou University, Guiyang city, 550025, Guizhou Province, China.
Yuliang XiongDepartment of Urology, Affiliated Hospital of Guizhou Medical University, Guiyang city, 550004, Guizhou Province, China.
Qinyi ZhangGraduate School of Zunyi Medical University, Zunyi City, 563099, Guizhou Province, China.
Dongbo YuanDepartment of Urology, Guizhou Provincial People's Hospital, Guiyang city, 550002, Guizhou Province, China.
Bo YanDepartment of Urology, Guizhou Provincial People's Hospital, Guiyang city, 550002, Guizhou Province, China.
Jianguo ZhuDepartment of Urology, Affiliated Hospital of Guizhou Medical University, Guiyang city, 550004, Guizhou Province, China. doctorzhujianguo@163.com.ORCID http://orcid.org/0000-0002-1171-0126

Funding

National Natural Science Foundation of China 82160551Science and Technology Program of Guizhou Province Qiankehejichu-ZK[2023]No.210
6 · The paper itself

Abstract

Prostate cancer is a malignant tumor of the male urological system with the highest incidence rate in the world, which seriously threatens the life and health of middle-aged and elderly men. The progression of prostate cancer involves the interaction between tumor cells and tumor microenvironment. Understanding the mechanisms of prostate cancer pathogenesis and disease progression is important to guide diagnosis and therapy. The emergence of single-cell RNA sequencing (scRNA-seq) and spatial transcriptome sequencing (ST-seq) technologies has brought breakthroughs in the study of prostate cancer. It makes up for the defects of traditional techniques such as fluorescence-activated cell sorting that are difficult to elucidate cell-specific gene expression. This review summarized the heterogeneity and functional changes of prostate cancer and tumor microenvironment revealed by scRNA-seq and ST-seq, aims to provide a reference for the optimal diagnosis and treatment of prostate cancer.

Indexed as

HeterogeneityProstate cancerSingle-cell RNA sequencingSpatial transcriptome sequencingTreatmentTumor microenvironment

Identifiers

PMID39470950
PMCPMC11522250

What OpenQuestion holds

Textmetadata
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.