Evidence map›Paper›PMID 38605399›Full record

ReviewMilitary Medical Research2024

The implications of single-cell RNA-seq analysis in prostate cancer: unraveling tumor heterogeneity, therapeutic implications and pathways towards personalized therapy.

De-Chao Feng, Wei-Zhen Zhu, Jie Wang, Deng-Xiong Li, Xu Shi, Qiao Xiong, Jia You, Ping Han, Shi Qiu, Qiang Wei and 1 more

Abstract readReview
In one paragraph

Review in Military Medical Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 1 pooled it
–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

102 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. ZIF-8 nanoplatform coordinating ZnInternational journal of pharmaceutics: X · 2026
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  8. Review
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  11. [Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
  12. Article
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  19. Review
  20. Article

42 more citing papers are in PubMed but not listed here.

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

11 authors.

De-Chao Feng *Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China. fdcfenix@stu.scu.edu.cn.ORCID 0000-0002-8267-9920
Wei-Zhen Zhu *Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Jie Wang *Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Deng-Xiong Li *Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Xu ShiDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Qiao XiongDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Jia YouDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Ping HanDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Shi QiuDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Qiang WeiDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China. weiqiang@scu.edu.cn.
Lu YangDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China. wycleflue@scu.edu.cn.

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 81974099, 82170785, 81974098, 82170784
6 · The paper itself

Abstract

In recent years, advancements in single-cell and spatial transcriptomics, which are highly regarded developments in the current era, particularly the emerging integration of single-cell and spatiotemporal transcriptomics, have enabled a detailed molecular comprehension of the complex regulation of cell fate. The insights obtained from these methodologies are anticipated to significantly contribute to the development of personalized medicine. Currently, single-cell technology is less frequently utilized for prostate cancer compared with other types of tumors. Starting from the perspective of RNA sequencing technology, this review outlined the significance of single-cell RNA sequencing (scRNA-seq) in prostate cancer research, encompassing preclinical medicine and clinical applications. We summarize the differences between mouse and human prostate cancer as revealed by scRNA-seq studies, as well as a combination of multi-omics methods involving scRNA-seq to highlight the key molecular targets for the diagnosis, treatment, and drug resistance characteristics of prostate cancer. These studies are expected to provide novel insights for the development of immunotherapy and other innovative treatment strategies for castration-resistant prostate cancer. Furthermore, we explore the potential clinical applications stemming from other single-cell technologies in this review, paving the way for future research in precision medicine.

Indexed as

Prostatic NeoplasmsSingle-Cell Gene Expression AnalysisAnimalsCell DifferentiationHumansImmunotherapyMaleMiceProstatePrecision medicineProstate cancerSingle-cell RNA sequencing (scRNA-seq)Treatment resistanceTumor heterogeneityTumor microenvironment

Identifiers

PMID38605399
PMCPMC11007901

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.