Risk Signature of Cancer-Associated Fibroblast–Secreted Cytokines Associates With Clinical Outcomes of Breast Cancer

医学 内科学 肿瘤科 癌症 癌相关成纤维细胞 基因签名 生物标志物
作者
Chunxiao Sun,Siwei Wang,Yuchen Zhang,Fan Yang,Tianyu Zeng,Fanchen Meng,Mengzhu Yang,Yiqi Yang,Yijia Hua,Ziyi Fu,Jun Li,Xiang Huang,Hao Wu,Yongmei Yin,Wei Li
出处
期刊:Frontiers in Oncology [Frontiers Media SA]
卷期号:11: 628677- 被引量:1
标识
DOI:10.3389/fonc.2021.628677
摘要

Cancer-associated fibroblasts (CAFs) are key components in tumor microenvironment (TME). The secreted products of CAFs play important roles in regulating tumor cells and further impacting clinical prognosis. This study aims to reveal the relationship between CAF-secreted cytokines and breast cancer (BC) by constructing the risk signature. We performed three algorithms to reveal CAF-related cytokines in the TCGA BC dataset and identified five prognosis-related cytokines. Then we used single-cell RNA sequencing (ScRNA-Seq) datasets of BC to confirm the expression level of these five cytokines in CAFs. METABRIC and other independent datasets were utilized to validate the findings in further analyses. Based on the identified five-cytokine signature derived from CAFs, BC patients with high-risk score (RS) had shorter overall survival than low-RS cases. Further analysis suggested that the high-RS level correlated with cell proliferation and mast cell infiltration in BCs of the Basal-like subtype. The results also indicated that the level of RS could discriminate the high-risk BC cases harboring driver mutations (i.e., PI3KCA, CDH1, and TP53). Additionally, the status of five-cytokine signature was associated with the frequency and molecular timing of whole genome duplication (WGD) events. Intratumor heterogeneity (ITH) analysis among BC samples indicated that the high-RS level was associated with the increase of tumor subclones. This work demonstrated that the prognostic signature based on CAF-secreted cytokines was associated with clinical outcome, tumor progression, and genetic alteration. Our findings may provide insights to develop novel strategies for early intervention and prognostic prediction of BC.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
fhb发布了新的文献求助10
刚刚
1秒前
打打应助hewu采纳,获得10
1秒前
kkk发布了新的文献求助30
2秒前
4秒前
不安毛豆应助你奈我何采纳,获得20
4秒前
zz完成签到,获得积分20
4秒前
星辰大海应助下论文采纳,获得10
5秒前
信勇完成签到 ,获得积分10
5秒前
标致的数据线完成签到 ,获得积分10
6秒前
梅一一发布了新的文献求助10
6秒前
斯文可仁发布了新的文献求助10
6秒前
hlt完成签到 ,获得积分10
6秒前
PRdoge完成签到,获得积分10
7秒前
多C多快乐完成签到 ,获得积分10
7秒前
Hui完成签到 ,获得积分10
7秒前
Orange应助ff采纳,获得10
7秒前
完美世界应助萧白竹采纳,获得10
7秒前
SciGPT应助萧白竹采纳,获得10
7秒前
共享精神应助萧白竹采纳,获得10
7秒前
Hello应助萧白竹采纳,获得10
8秒前
Lucas应助萧白竹采纳,获得10
8秒前
8秒前
CipherSage应助萧白竹采纳,获得10
8秒前
酷波er应助萧白竹采纳,获得10
8秒前
8秒前
Akim应助科研小虫采纳,获得10
8秒前
9秒前
kkk完成签到,获得积分10
9秒前
微笑天磊完成签到,获得积分10
9秒前
大钱完成签到,获得积分10
9秒前
10秒前
闫小天天发布了新的文献求助10
10秒前
10秒前
02发布了新的文献求助10
11秒前
lyn发布了新的文献求助10
11秒前
fhb完成签到,获得积分20
12秒前
12秒前
李健的小迷弟应助Nature采纳,获得10
12秒前
汉堡包应助斯文可仁采纳,获得10
13秒前
高分求助中
Spray / Wall-interaction Modelling by Dimensionless Data Analysis 2000
Evolution 3rd edition 1500
保险藏宝图 1000
Lire en communiste 1000
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 700
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 700
Mathematics and Finite Element Discretizations of Incompressible Navier—Stokes Flows 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3184820
求助须知:如何正确求助?哪些是违规求助? 2835119
关于积分的说明 8003496
捐赠科研通 2497569
什么是DOI,文献DOI怎么找? 1332906
科研通“疑难数据库(出版商)”最低求助积分说明 636748
邀请新用户注册赠送积分活动 604139