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
cs发布了新的文献求助10
1秒前
zmgdxph发布了新的文献求助10
2秒前
英俊的铭应助Jy采纳,获得10
2秒前
鬼才之眼发布了新的文献求助10
2秒前
tong完成签到,获得积分10
2秒前
3秒前
3秒前
科研通AI2S应助松谦采纳,获得10
3秒前
wjh发布了新的文献求助10
3秒前
soccer13完成签到,获得积分10
4秒前
yx阿聪完成签到,获得积分10
4秒前
陌路发布了新的文献求助30
5秒前
CKJ完成签到,获得积分10
5秒前
CYC发布了新的文献求助10
7秒前
zhouzhou发布了新的文献求助10
7秒前
8秒前
10秒前
11秒前
12秒前
爆米花应助Meimei采纳,获得10
12秒前
搜集达人应助小僧采纳,获得10
12秒前
科目三应助陶逃逃采纳,获得10
12秒前
发疯的游子完成签到 ,获得积分10
13秒前
武雨寒发布了新的文献求助10
14秒前
ZrAug21发布了新的文献求助10
15秒前
怪胎完成签到,获得积分10
15秒前
15秒前
sy发布了新的文献求助10
16秒前
天真乌完成签到 ,获得积分10
16秒前
科研通AI2S应助狂野的迎波采纳,获得10
17秒前
17秒前
四季养生人完成签到 ,获得积分10
17秒前
科研通AI2S应助zmgdxph采纳,获得10
19秒前
天真乌关注了科研通微信公众号
21秒前
脑洞疼应助11采纳,获得10
22秒前
22秒前
23秒前
24秒前
25秒前
高分求助中
Spray / Wall-interaction Modelling by Dimensionless Data Analysis 2000
ALA生合成不全マウスでの糖代謝異常の分子機構解析 520
安全防范技术与工程 500
Mathematics and Finite Element Discretizations of Incompressible Navier—Stokes Flows 500
2024 Medicinal Chemistry Reviews 400
Актуализированная стратиграфическая схема триасовых отложений Прикаспийского региона. Объяснительная записка 360
Dictionary of socialism 350
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 3191803
求助须知:如何正确求助?哪些是违规求助? 2841186
关于积分的说明 8031722
捐赠科研通 2504609
什么是DOI,文献DOI怎么找? 1337911
科研通“疑难数据库(出版商)”最低求助积分说明 638205
邀请新用户注册赠送积分活动 606711