Cancer-associated fibroblasts-derived FMO2 as a biomarker of macrophage infiltration and prognosis in epithelial ovarian cancer

川地163 基质 医学 渗透(HVAC) 间质细胞 免疫系统 免疫 肿瘤浸润淋巴细胞 病理 免疫组织化学 癌症研究 生物 免疫学 CD8型 免疫疗法 基因 表型 物理 热力学 生物化学
作者
Sihui Yu,Rui Yang,Tianhan Xu,Xi Li,Sufang Wu,Jiawen Zhang
出处
期刊:Gynecologic Oncology [Elsevier BV]
卷期号:167 (2): 342-353 被引量:12
标识
DOI:10.1016/j.ygyno.2022.09.003
摘要

Recent molecular profiling revealed that cancer-associated fibroblasts (CAFs) are essential for matrix remodeling and tumor progression. Our study aimed to investigate the role of flavin-containing monooxygenase 2 (FMO2) in epithelial ovarian cancer (EOC) as a novel CAF-derived prognostic biomarker.Primary fibroblasts were isolated from EOC samples. Microdissection and single-cell RNA sequencing (scRNA-seq) datasets (including TCGA, GSE9891, GSE63885, GSE118828 and GSE178913) were retrieved to determine the expression profiles. Gene set enrichment analysis (GSEA) was used to explore the correlation between FMO2 and stromal activation as well as immune infiltration. The predictive value of FMO2 and combined macrophage infiltration level was verified in an independent EOC cohort (n = 113).We demonstrated that FMO2 was upregulated in tumor stroma and correlated with fibroblast activation. Besides, FMO2 had the predictive power for worse clinical outcome of EOC patients. In the mesenchymal subtype of EOC, the FMO2-defined signature revealed that FMO2 contributed to infiltration of tumor-infiltrating lymphocytes. Moreover, we confirmed the positive correlation between FMO2 and CD163+ cell infiltration level in EOC tissues, and showed that combination of FMO2 expression with CD163+ cell infiltration level in the tumor stroma could predict poor overall survival (HR = 3.63, 95% CI = 1.93-6.84, p = 0.0008). Additionally, FMO2 also predicted the prognosis of patients with ovarian cancer based on the expression of immune checkpoints (such as PD-L1 and PD1).Our results address the tumor-supporting role of FMO2 in EOC and its association with immune components, and it might be a prospective target for stroma-oriented therapies against EOC.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
外雪完成签到 ,获得积分10
1秒前
1秒前
NexusExplorer应助白白圣诞采纳,获得10
1秒前
SciGPT应助54zxy采纳,获得10
1秒前
2秒前
是~巧呀发布了新的文献求助10
2秒前
2秒前
所所应助红尘意三分采纳,获得10
3秒前
科研通AI6.2应助小涵采纳,获得10
3秒前
大胆的以冬完成签到,获得积分10
4秒前
4秒前
哲水圣发布了新的文献求助10
5秒前
9秒前
王木木发布了新的文献求助10
9秒前
9秒前
深情安青应助呆萌山彤采纳,获得10
9秒前
了了发布了新的文献求助10
10秒前
顾矜应助zyq采纳,获得10
10秒前
wweq完成签到,获得积分10
10秒前
无极微光应助科研通管家采纳,获得20
10秒前
10秒前
wanci应助科研通管家采纳,获得30
10秒前
我是老大应助科研通管家采纳,获得30
11秒前
彭于晏应助科研通管家采纳,获得10
11秒前
Hello应助科研通管家采纳,获得10
11秒前
SciGPT应助科研通管家采纳,获得10
11秒前
思源应助科研通管家采纳,获得10
11秒前
11秒前
英俊的铭应助科研通管家采纳,获得10
11秒前
Ava应助科研通管家采纳,获得10
11秒前
研友_VZG7GZ应助科研通管家采纳,获得10
11秒前
大模型应助科研通管家采纳,获得30
11秒前
11秒前
11秒前
wanci应助poppysss采纳,获得10
12秒前
12秒前
13秒前
沉静盼山发布了新的文献求助10
13秒前
大个应助哲水圣采纳,获得10
14秒前
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6504580
求助须知:如何正确求助?哪些是违规求助? 8298904
关于积分的说明 17714973
捐赠科研通 5604046
什么是DOI,文献DOI怎么找? 2919895
邀请新用户注册赠送积分活动 1897274
关于科研通互助平台的介绍 1759138