Evidence map›Paper›PMID 37161356›Full record

ReviewCellular & molecular biology letters2023

Single-cell omics traces the heterogeneity of prostate cancer cells and the tumor microenvironment.

Xudong Yu, Ruijia Liu, Wenfeng Gao, Xuyun Wang, Yaosheng Zhang

Open access · goldAbstract readReviewLetter
In one paragraph

Review in Cellular & molecular biology letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
10.6field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 46 citations in OpenAlex.

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  20. Bolstering CD8Biology · 2025
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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 at 3 institutions in 1 country.

Xudong Yu *Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Ruijia Liu *Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Wenfeng GaoDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Xuyun WangBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China. xuyun1102@sina.com.
Yaosheng ZhangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China. zhangyaosheng@bucm.edu.cn.ORCID http://orcid.org/0000-0002-9340-3479
Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CNBeijing Hospital of Traditional Chinese Medicine · CNBeijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer is one of the more heterogeneous tumour types. In recent years, with the rapid development of single-cell sequencing and spatial transcriptome technologies, researchers have gained a more intuitive and comprehensive understanding of the heterogeneity of prostate cancer. Tumour-associated epithelial cells; cancer-associated fibroblasts; the complexity of the immune microenvironment, and the heterogeneity of the spatial distribution of tumour cells and other cancer-promoting molecules play a crucial role in the growth, invasion, and metastasis of prostate cancer. Single-cell multi-omics biotechnology, especially single-cell transcriptome sequencing, reveals the expression level of single cells with higher resolution and finely dissects the molecular characteristics of different tumour cells. We reviewed the recent literature on prostate cancer cells, focusing on single-cell RNA sequencing. And we analysed the heterogeneity and spatial distribution differences of different tumour cell types. We discussed the impact of novel single-cell omics technologies, such as rich omics exploration strategies, multi-omics joint analysis modes, and deep learning models, on future prostate cancer research. In this review, we have constructed a comprehensive catalogue of single-cell omics studies in prostate cancer. This article aimed to provide a more thorough understanding of the diagnosis and treatment of prostate cancer. We summarised and proposed several key issues and directions on applying single-cell multi-omics and spatial transcriptomics to understand the heterogeneity of prostate cancer. Finally, we discussed single-cell omics trends and future directions in prostate cancer.

Indexed as

Prostatic NeoplasmsTumor MicroenvironmentBiotechnologyEpithelial CellsHumansMaleProstateHeterogeneityProstate cancerSingle-cell omicsSpatial transcriptomics

Identifiers

PMID37161356
PMCPMC10170780
OpenAlexW4376132160

What Socratic 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 Socratic graph.