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
djx123发布了新的文献求助10
2秒前
阔达白筠发布了新的文献求助10
2秒前
3秒前
JackMa应助hushan53采纳,获得10
4秒前
4秒前
无情的羊青完成签到,获得积分10
7秒前
Rue完成签到,获得积分10
8秒前
犹豫的夜完成签到,获得积分10
8秒前
小晟发布了新的文献求助10
8秒前
传奇3应助博宇采纳,获得10
9秒前
ugot完成签到,获得积分20
9秒前
9秒前
yinlaotou发布了新的文献求助10
10秒前
gengsumin完成签到,获得积分10
11秒前
11秒前
领导范儿应助Yu采纳,获得10
13秒前
hellozijia完成签到 ,获得积分10
13秒前
14秒前
小晟完成签到,获得积分10
15秒前
15秒前
gggyyy发布了新的文献求助10
15秒前
NexusExplorer应助计时器响了采纳,获得10
16秒前
疯狂的绝山完成签到,获得积分10
16秒前
文献互助完成签到,获得积分10
17秒前
可爱的函函应助庶民文献采纳,获得10
17秒前
17秒前
单薄惜文发布了新的文献求助10
18秒前
阿怪完成签到,获得积分10
20秒前
bkagyin应助fifteen采纳,获得10
20秒前
NexusExplorer应助科研人采纳,获得10
20秒前
叶不寿发布了新的文献求助30
22秒前
妙jdx完成签到,获得积分10
24秒前
可爱的函函应助博宇采纳,获得10
25秒前
25秒前
拉长的元芹完成签到,获得积分10
25秒前
dongkk完成签到,获得积分20
25秒前
zhaoman完成签到,获得积分10
25秒前
chenhuiqian发布了新的文献求助10
25秒前
26秒前
忧伤的皓轩完成签到,获得积分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 3188478
求助须知:如何正确求助?哪些是违规求助? 2837934
关于积分的说明 8017894
捐赠科研通 2500657
什么是DOI,文献DOI怎么找? 1335064
科研通“疑难数据库(出版商)”最低求助积分说明 637466
邀请新用户注册赠送积分活动 605496