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
minghanl完成签到,获得积分10
2秒前
禾苗完成签到 ,获得积分10
3秒前
迅速的念芹完成签到 ,获得积分10
4秒前
qwe发布了新的文献求助10
5秒前
科研通AI2S应助妖怪大大采纳,获得10
5秒前
饱满的棒棒糖完成签到 ,获得积分10
5秒前
小巧的怜晴完成签到,获得积分10
5秒前
科研通AI2S应助枯荣采纳,获得10
7秒前
ktw完成签到,获得积分10
10秒前
Hello应助L同学采纳,获得10
10秒前
可爱的函函应助太阳采纳,获得10
10秒前
科目三应助Wuin采纳,获得10
11秒前
11秒前
Yang22完成签到,获得积分10
12秒前
lxrsee发布了新的文献求助10
14秒前
14秒前
田様应助Zz采纳,获得10
14秒前
14秒前
小平应助科研通管家采纳,获得10
14秒前
14秒前
华仔应助科研通管家采纳,获得10
14秒前
14秒前
orixero应助科研通管家采纳,获得10
14秒前
yongfeng应助科研通管家采纳,获得10
15秒前
安澜完成签到,获得积分10
15秒前
潘妮花花完成签到 ,获得积分10
16秒前
cxrrabbit完成签到,获得积分10
18秒前
毕个业完成签到 ,获得积分10
19秒前
TOMORI酱完成签到,获得积分10
19秒前
20秒前
林夕完成签到 ,获得积分10
20秒前
米丸子完成签到,获得积分10
24秒前
25秒前
26秒前
YOLO完成签到 ,获得积分10
26秒前
朝北完成签到 ,获得积分10
27秒前
28秒前
liuqi67完成签到,获得积分10
30秒前
小郭完成签到 ,获得积分10
30秒前
L同学完成签到,获得积分10
30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
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 700
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 700
Mathematics and Finite Element Discretizations of Incompressible Navier—Stokes Flows 500
A new species of Coccus (Homoptera: Coccoidea) from Malawi 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 3187075
求助须知:如何正确求助?哪些是违规求助? 2836983
关于积分的说明 8012363
捐赠科研通 2499453
什么是DOI,文献DOI怎么找? 1334445
科研通“疑难数据库(出版商)”最低求助积分说明 637170
邀请新用户注册赠送积分活动 605071