Dynamic Profiling of Exosomal microRNAs in Blood Plasma of Patients with Castration-Resistant Prostate Cancer

作者
Elena A. Pudova,Anastasiya A. Kobelyatskaya,Irina V. Katunina,Anastasiya V. Snezhkina,Maria Fedorova,Zulfiya G. Guvatova,K. М. Nyushko,B. Yа. Alekseev,Vladislav Pavlov,Maria V. Savvateeva,Alexander Alexandrovich Kudryavtsev,George Sergeevich Krasnov,Anna V. Kudryavtseva
出处
期刊:Frontiers in bioscience [IMR Press]
卷期号:14 (2): 15-15 被引量:10
标识
DOI:10.31083/j.fbs1402015
摘要

Prostate cancer is one of the most common and socially significant cancers among men. The aim of this study was to identify significant changes in the expression of exosomal miRNAs associated with an increase in the level of prostate specific antigen in castration-resistant prostate cancer during therapy and to evaluate them as potential prognostic markers for this category of disease. High-throughput miRNA sequencing was performed on 49 blood plasma samples taken from 11 Russian patients with castration-resistant cancer during therapy. Bioinformatic analysis of the obtained miRNA-seq data was carried out. Additionally, miRNA-seq data from the PRJNA562276 project were analyzed to identify exosomal miRNAs associated with castration-resistant prostate cancer. We found 34 differentially expressed miRNAs associated with the progression of castration-resistant prostate cancer during therapy in Russian patients. It was also shown that hsa-miRNA-148a-3p expression can serve as a potential prognostic marker. We found the exosomal miRNA expression signature associated with castration-resistant prostate cancer progression, in particular on the Russian patient cohort. Many of these miRNAs are well-known players in either oncogenic transformation or tumor suppression. Further experimental studies with extended sampling are required to validate these results.

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
longsiping发布了新的文献求助10
1秒前
1秒前
arcidia完成签到,获得积分20
1秒前
2秒前
2秒前
2秒前
莫等闲完成签到,获得积分0
3秒前
sxh完成签到,获得积分10
3秒前
科研通AI2S的应助被洁净涟妖采纳,获得10
3秒前
3秒前
柒玉染发布了新的文献求助10
4秒前
4秒前
疯院士发布了新的文献求助10
4秒前
aroseisarose完成签到,获得积分10
4秒前
4秒前
爆米花的应助被DZQ采纳,获得10
5秒前
5秒前
充电宝的应助被皮在痒采纳,获得30
6秒前
Lucas的应助被如意铅笔采纳,获得10
6秒前
6秒前
xiaoxioayixi完成签到 ,获得积分10
6秒前
乐乐的应助被arcidia采纳,获得10
6秒前
啦啦啦啦发布了新的文献求助10
7秒前
7秒前
kaifangfeiyao发布了新的文献求助10
7秒前
傅英俊完成签到,获得积分10
7秒前
英姑的应助被yyx采纳,获得10
7秒前
兴奋的井发布了新的文献求助10
7秒前
7秒前
04d的应助被善良的过客采纳,获得10
8秒前
LunminBao完成签到,获得积分10
8秒前
8秒前
故里关注了科研通微信公众号
8秒前
8秒前
qq发布了新的文献求助10
9秒前
9秒前
zhouyixiang的应助被小刘不牛采纳,获得10
9秒前
10秒前
等待凡波完成签到,获得积分10
10秒前
10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
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Challenging Attachment Theory 600
Analyses de reconnaissances de dettes passées devant les échevins d'Ypres (1249-1291) 600
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 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8140024
求助须知:如何正确求助?哪些是违规求助? 9540498
关于积分的说明 21639945
捐赠科研通 7724118
什么是DOI,文献DOI怎么找? 3420975
关于科研通互助平台的介绍 2546178
邀请新用户注册赠送积分活动 2463037