The molecular classification of cancer‐associated fibroblasts on a pan‐cancer single‐cell transcriptional atlas

生物 癌相关成纤维细胞 癌症研究 癌细胞 计算生物学 表型 转录组 癌症 多路复用 肿瘤微环境 病理 基因 生物信息学 基因表达 医学 遗传学
作者
Bonan Chen,Wai Nok Chan,Fuda Xie,Chun Wai Mui,Xiaoli Liu,Alvin Ho‐Kwan Cheung,Raymond Wai Ming Lung,Chit Chow,Zhenhua Zhang,Canbin Fang,Peiyao Yu,Shihua Shi,Shikun Zhou,Guo-Ming Chen,Zhangding Wang,Shouyu Wang,Xiaofan Ding,Bing Huang,Liang Li,Yujuan Dong,Chi Chun Wong,William K.K. Wu,Alfred S.L. Cheng,Nathalie Wong,Jun Yu,Kwok Wai Lo,Gary M. Tse,Wei Kang,Ka‐Fai To
出处
期刊:Clinical and translational medicine [Springer Science+Business Media]
卷期号:13 (12) 被引量:15
标识
DOI:10.1002/ctm2.1516
摘要

Abstract Background Cancer‐associated fibroblasts (CAFs), integral to the tumour microenvironment, are pivotal in cancer progression, exhibiting either pro‐tumourigenic or anti‐tumourigenic functions. Their inherent phenotypic and functional diversity allows for the subdivision of CAFs into various subpopulations. While several classification systems have been suggested for different cancer types, a unified molecular classification of CAFs on a single‐cell pan‐cancer scale has yet to be established. Methods We employed a comprehensive single‐cell transcriptomic atlas encompassing 12 solid tumour types. Our objective was to establish a novel molecular classification and to elucidate the evolutionary trajectories of CAFs. We investigated the functional profiles of each CAF subtype using Single‐Cell Regulatory Network Inference and Clustering and single‐cell gene set enrichment analysis. The clinical relevance of these subtypes was assessed through survival curve analysis. Concurrently, we employed multiplex immunofluorescence staining on tumour tissues to determine the dynamic changes of CAF subtypes across different tumour stages. Additionally, we identified the small molecule procyanidin C1 (PCC1) as a target for matrix‐producing CAF (matCAF) using molecular docking techniques and further validated these findings through in vitro and in vivo experiments. Results In our investigation of solid tumours, we identified four molecular clusters of CAFs: progenitor CAF (proCAF), inflammatory CAF (iCAF), myofibroblastic CAF (myCAF) and matCAF, each characterised by distinct molecular traits. This classification was consistently applicable across all nine studied solid tumour types. These CAF subtypes displayed unique evolutionary pathways, functional roles and clinical relevance in various solid tumours. Notably, the matCAF subtype was associated with poorer prognoses in several cancer types. The targeting of matCAF using the identified small molecule, PCC1, demonstrated promising antitumour activity. Conclusions Collectively, the various subtypes of CAFs, particularly matCAF, are crucial in the initiation and progression of cancer. Focusing therapeutic strategies on targeting matCAF in solid tumours holds significant potential for cancer treatment.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
七安发布了新的文献求助10
1秒前
1秒前
传统的擎汉完成签到,获得积分10
2秒前
4秒前
童diedie完成签到,获得积分10
4秒前
FashionBoy应助左寺采纳,获得10
4秒前
毛鹿鹿发布了新的文献求助10
4秒前
5秒前
Hua发布了新的文献求助10
5秒前
彭于晏应助xumengyu采纳,获得30
5秒前
芝麻是什么味道完成签到,获得积分10
6秒前
455发布了新的文献求助10
7秒前
Yuuuu完成签到 ,获得积分0
8秒前
中华牌老阿姨给哈哈的求助进行了留言
8秒前
8秒前
齐济完成签到 ,获得积分10
10秒前
CipherSage应助hl采纳,获得10
10秒前
今后应助可靠的紫雪采纳,获得10
11秒前
Lan驳回了科目三应助
12秒前
余淮完成签到,获得积分10
12秒前
结实的丹雪完成签到,获得积分10
12秒前
orixero应助wenwen采纳,获得10
13秒前
13秒前
14秒前
14秒前
小松发布了新的文献求助30
14秒前
14秒前
Wang完成签到 ,获得积分10
15秒前
科研通AI6.1应助Afterglow采纳,获得10
15秒前
16秒前
乐乐应助zyc采纳,获得10
16秒前
blur完成签到,获得积分10
17秒前
枫霖霜落完成签到,获得积分10
17秒前
hubanj完成签到,获得积分10
17秒前
ssj发布了新的文献求助10
17秒前
大模型应助gan采纳,获得10
18秒前
满意夏岚发布了新的文献求助10
19秒前
19秒前
Sui完成签到,获得积分10
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Metallurgy at high pressures and high temperatures 2000
Tier 1 Checklists for Seismic Evaluation and Retrofit of Existing Buildings 1000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 1000
The Organic Chemistry of Biological Pathways Second Edition 1000
Free parameter models in liquid scintillation counting 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6331150
求助须知:如何正确求助?哪些是违规求助? 8147587
关于积分的说明 17096964
捐赠科研通 5386797
什么是DOI,文献DOI怎么找? 2855965
邀请新用户注册赠送积分活动 1833364
关于科研通互助平台的介绍 1684781