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
1秒前
祁瓀完成签到,获得积分10
2秒前
bio_ymq发布了新的文献求助10
3秒前
锤锤完成签到 ,获得积分10
3秒前
香蕉觅云应助阿晴采纳,获得10
5秒前
ghn123456789完成签到,获得积分10
5秒前
科研小白发布了新的文献求助10
6秒前
Lucas应助斯文百招采纳,获得10
6秒前
7秒前
陆陆源圆发布了新的文献求助20
8秒前
沉静小蚂蚁完成签到,获得积分10
9秒前
zh完成签到,获得积分10
9秒前
脑洞疼应助lvsehx采纳,获得10
10秒前
peng发布了新的文献求助20
12秒前
13秒前
赵赵赵发布了新的文献求助10
13秒前
13秒前
无风完成签到 ,获得积分10
15秒前
田様应助伶俐的铁身采纳,获得10
15秒前
饭团0814完成签到,获得积分10
15秒前
感谢还行吧转发科研通微信,获得积分50
17秒前
小马甲应助赵赵赵采纳,获得10
17秒前
sxhlrm完成签到,获得积分10
17秒前
蓝天海完成签到,获得积分0
17秒前
tang完成签到,获得积分10
18秒前
18秒前
19秒前
20秒前
充电宝应助sxhlrm采纳,获得10
21秒前
cgmil完成签到 ,获得积分10
21秒前
22秒前
科研通AI2S应助陆陆源圆采纳,获得10
22秒前
23秒前
斯文百招发布了新的文献求助10
24秒前
研友_LkD29n完成签到 ,获得积分20
25秒前
25秒前
25秒前
高吊杀_搓勾放完成签到,获得积分10
26秒前
时光完成签到,获得积分10
27秒前
321发布了新的文献求助10
27秒前
高分求助中
Spray / Wall-interaction Modelling by Dimensionless Data Analysis 2000
Evolution 3rd edition 1500
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 700
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 700
ALA生合成不全マウスでの糖代謝異常の分子機構解析 520
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 3187998
求助须知:如何正确求助?哪些是违规求助? 2837610
关于积分的说明 8016412
捐赠科研通 2500308
什么是DOI,文献DOI怎么找? 1334909
科研通“疑难数据库(出版商)”最低求助积分说明 637330
邀请新用户注册赠送积分活动 605364