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
chen完成签到 ,获得积分10
刚刚
1秒前
2秒前
syl完成签到,获得积分10
3秒前
陶醉水云发布了新的文献求助10
4秒前
胡强发布了新的文献求助10
4秒前
小篆完成签到 ,获得积分10
4秒前
hanlixuan完成签到 ,获得积分10
5秒前
xueqing发布了新的文献求助10
6秒前
cqwllllyh完成签到,获得积分10
6秒前
7秒前
paparazzi221应助乐乐采纳,获得50
7秒前
hopen完成签到 ,获得积分10
7秒前
糊涂的城完成签到,获得积分20
8秒前
章鱼哥关注了科研通微信公众号
8秒前
李健的小迷弟应助周野子采纳,获得10
10秒前
科目三应助福明明采纳,获得10
10秒前
10秒前
陌年微凉发布了新的文献求助10
11秒前
11秒前
英俊的铭应助ltt采纳,获得10
11秒前
12秒前
冰饼子完成签到,获得积分10
13秒前
雪白如彤发布了新的文献求助10
15秒前
xueqing完成签到,获得积分10
16秒前
威武的薯片完成签到 ,获得积分10
16秒前
17秒前
玊尔吡咯烷酮完成签到,获得积分10
17秒前
17秒前
救救小王叭完成签到,获得积分10
18秒前
JamesPei应助Dceer采纳,获得10
18秒前
Owen应助白vv采纳,获得10
18秒前
安戈发布了新的文献求助10
18秒前
大鼻子小狗完成签到,获得积分10
18秒前
Grinder发布了新的文献求助20
19秒前
Nugget完成签到,获得积分10
20秒前
ltt发布了新的文献求助10
21秒前
21秒前
ch发布了新的文献求助10
21秒前
李健应助JHL采纳,获得10
21秒前
高分求助中
Spray / Wall-interaction Modelling by Dimensionless Data Analysis 2000
Write Like a Chemist: A Guide and Resource (第二版) 600
Mixed-anion Compounds 600
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
Earth System Geophysics 500
Aspects of Babylonian celestial divination: the lunar eclipse tablets of Enūma Anu Enlil 500
Geochemistry, 2nd Edition 地球化学经典教科书第二版 401
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 3199844
求助须知:如何正确求助?哪些是违规求助? 2849134
关于积分的说明 8068932
捐赠科研通 2513326
什么是DOI,文献DOI怎么找? 1346110
科研通“疑难数据库(出版商)”最低求助积分说明 640167
邀请新用户注册赠送积分活动 609948