Proteomic profiles of peritoneal fluid-derived small extracellular vesicles correlate with patient outcome in ovarian cancer

卵巢癌 浆液性液体 外科肿瘤学 恶性肿瘤 医学 肿瘤科 癌症 内科学 病理
作者
Miguel Quiralte,Arántzazu Barquín,Mónica Yagüe-Fernández,Paloma Navarro,Tatiana P. Grazioso,Elena Sevillano-Fernández,Juan F. Rodríguez-Moreno,Alejandra Balarezo-Saldivar,Héctor Peinado,Elena Izquierdo,Carlos Millán,Irene López-Carrasco,Mario Prieto,Rodrigo Madurga,Ismael Fernández‐Miranda,Sergio Ruiz‐Llorente,Jesús García-Donás
出处
期刊:Journal of Clinical Investigation [American Society for Clinical Investigation]
卷期号:134 (10) 被引量:11
标识
DOI:10.1172/jci176161
摘要

Cancer-derived small extracellular vesicles (sEVs) are capable of modifying tumor microenvironment and promoting tumor progression. Ovarian cancer (OvCa) is a lethal malignancy that preferentially spreads through the abdominal cavity. Thus, the secretion of such vesicles into the peritoneal fluid could be a determinant factor in the dissemination and behavior of this disease. We designed a prospective observational study to assess the impact of peritoneal fluid-derived sEVs (PFD-sEVs) in OvCa clinical outcome. For this purpose, two patient cohorts were enrolled, including OvCa cases who underwent a diagnostic or cytoreductive surgery, and non-oncological patients as controls, who underwent abdominal surgery for benign gynecological conditions. PFD-sEVs systematic extraction from surgical samples enabled us to observe significant quantitative and qualitative differences associated with cancer diagnosis, disease stage and platinum chemosensitivity. Proteomic profiling of PFD-sEVs led to the identification of molecular pathways and proteins of interest and to the biological validation of S100A4 and STX5. In addition, unsupervised analysis of PFD-sEVs proteomic profiles in high-grade serous ovarian carcinomas (HGSOC) revealed two clusters with different outcomes in terms of overall survival. In conclusion, comprehensive characterization of the PFD-sEVs content provided a prognostic value with potential implications in HGSOC clinical management.
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
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
刚刚
666发布了新的文献求助10
1秒前
1秒前
1秒前
21_xxrr发布了新的文献求助10
1秒前
2秒前
十次方发布了新的文献求助10
2秒前
2秒前
2秒前
2秒前
3秒前
紫罗风韵完成签到,获得积分10
3秒前
3秒前
kx完成签到,获得积分10
3秒前
4秒前
4秒前
ooseabiscuit发布了新的文献求助10
4秒前
夏虫完成签到,获得积分10
4秒前
冯琳栋发布了新的文献求助10
4秒前
怪脾气完成签到,获得积分10
4秒前
顽主发布了新的文献求助10
5秒前
杨帅发布了新的文献求助10
5秒前
健忘的饼干完成签到,获得积分20
5秒前
慕金大三发布了新的文献求助10
6秒前
典雅碧空发布了新的文献求助10
6秒前
含蓄的含羞草完成签到,获得积分10
6秒前
6秒前
404完成签到,获得积分10
6秒前
褚凡发布了新的文献求助10
7秒前
爆米花应助星野弥音采纳,获得10
7秒前
bkagyin应助大水牛姐姐采纳,获得10
7秒前
asa完成签到,获得积分20
7秒前
一朵约尔完成签到,获得积分10
7秒前
研友_nqaogn完成签到,获得积分10
7秒前
炙热灵波发布了新的文献求助10
7秒前
犹豫的若发布了新的文献求助10
7秒前
linqishi完成签到,获得积分10
7秒前
彳亍完成签到,获得积分10
8秒前
缥缈白晴发布了新的文献求助10
8秒前
xiaodong关注了科研通微信公众号
8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
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
DIPPR Project 801 - Full Version 380
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7767246
求助须知:如何正确求助?哪些是违规求助? 9310945
关于积分的说明 20320272
捐赠科研通 7352189
什么是DOI,文献DOI怎么找? 3315235
关于科研通互助平台的介绍 2464651
邀请新用户注册赠送积分活动 2329924