Evidence map›Paper›PMID 38158643›Full record

ReviewCell proliferation2024

Single-cell RNA sequencing to explore cancer-associated fibroblasts heterogeneity: "Single" vision for "heterogeneous" environment.

Xiangjian Zhang, Ruiqiu Zhu, Die Yu, Juan Wang, Yuxiang Yan, Ke Xu

Abstract readReview
In one paragraph

Review in Cell proliferation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  20. C3Journal of translational medicine · 2024
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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

6 authors.

Xiangjian ZhangThe Dingli Clinical College of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Ruiqiu ZhuInterventional Cancer Institute of Chinese Integrative Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Die YuInterventional Cancer Institute of Chinese Integrative Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Juan WangSchool of Medicine, Shanghai University, Shanghai, China.
Yuxiang YanThe Dingli Clinical College of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Ke XuInstitute of Translational Medicine, Shanghai University, Shanghai, China.ORCID https://orcid.org/0000-0002-3942-2767

Funding

National Natural Science Foundation of China 82204450Natural Science Foundation of Shanghai Municipality 20ZR1450500Science and Technology Plan Project of Wenzhou Municipality Y20220178Shanghai Pudong New Area Science and Technology Development Fund for the People's Livelihood Research Project PKJ2021-Y14
6 · The paper itself

Abstract

Cancer-associated fibroblasts (CAFs), a phenotypically and functionally heterogeneous stromal cell, are one of the most important components of the tumour microenvironment. Previous studies have consolidated it as a promising target against cancer. However, variable therapeutic efficacy-both protumor and antitumor effects have been observed not least owing to the strong heterogeneity of CAFs. Over the past 10 years, advances in single-cell RNA sequencing (scRNA-seq) technologies had a dramatic effect on biomedical research, enabling the analysis of single cell transcriptomes with unprecedented resolution and throughput. Specifically, scRNA-seq facilitates our understanding of the complexity and heterogeneity of diverse CAF subtypes. In this review, we discuss the up-to-date knowledge about CAF heterogeneity with a focus on scRNA-seq perspective to investigate the emerging strategies for integrating multimodal single-cell platforms. Furthermore, we summarized the clinical application of scRNA-seq on CAF research. We believe that the comprehensive understanding of the heterogeneity of CAFs form different visions will generate innovative solutions to cancer therapy and achieve clinical applications.

Indexed as

Cancer-Associated FibroblastsNeoplasmsSequence Analysis, RNASingle-Cell AnalysisTumor MicroenvironmentAnimalsGenetic HeterogeneityHumansTranscriptome

Identifiers

PMID38158643
PMCPMC11056715

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.