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
科研通AI2S应助make217采纳,获得10
刚刚
二行发布了新的文献求助10
1秒前
2秒前
小白完成签到,获得积分10
2秒前
3秒前
hhc发布了新的文献求助10
3秒前
NIUB完成签到,获得积分10
5秒前
7秒前
Abigial完成签到,获得积分10
7秒前
激昂的亦竹完成签到 ,获得积分10
7秒前
xiaoguo发布了新的文献求助10
8秒前
xp完成签到,获得积分10
9秒前
10秒前
11秒前
zzz发布了新的文献求助10
12秒前
英姑应助老实的水桃采纳,获得10
13秒前
14秒前
荡南桥发布了新的文献求助30
16秒前
16秒前
17秒前
Ann完成签到 ,获得积分20
17秒前
20秒前
20秒前
xiaoguo完成签到,获得积分10
20秒前
20秒前
俭朴的碧玉完成签到,获得积分10
21秒前
鹅1发布了新的文献求助10
22秒前
bkagyin应助於依白采纳,获得10
22秒前
小才哥完成签到,获得积分10
22秒前
manholeFixerXM完成签到 ,获得积分10
22秒前
22秒前
Woke完成签到 ,获得积分10
23秒前
852应助Captain采纳,获得10
24秒前
ccboom发布了新的文献求助10
25秒前
向向向完成签到 ,获得积分10
25秒前
神经哇发布了新的文献求助10
26秒前
王云云完成签到 ,获得积分10
27秒前
瘦瘦的映安完成签到,获得积分10
28秒前
华仔应助自由采纳,获得10
28秒前
无奈傲菡完成签到,获得积分10
29秒前
高分求助中
Spray / Wall-interaction Modelling by Dimensionless Data Analysis 2000
Evolution 3rd edition 1500
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
2-Acetyl-1-pyrroline: an important aroma component of cooked rice 500
Handbook on People's China (1957) 400
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 3188681
求助须知:如何正确求助?哪些是违规求助? 2838149
关于积分的说明 8018855
捐赠科研通 2501038
什么是DOI,文献DOI怎么找? 1335264
科研通“疑难数据库(出版商)”最低求助积分说明 637492
邀请新用户注册赠送积分活动 605598