Identification of microRNA expression in sentinel lymph nodes from patients with breast cancer via RNA sequencing for diagnostic accuracy

转移 小RNA 乳腺癌 癌变 癌症 生物 小桶 癌症研究 基因 基因表达 医学 生物信息学 肿瘤科 基因本体论 遗传学
作者
Desheng Sun,Jieyu Zhong,Wei Wei,Xiangmei Chen,Jun Liu,Zhengming Hu
出处
期刊:Journal of Gene Medicine [Wiley]
卷期号:21 (4) 被引量:10
标识
DOI:10.1002/jgm.3075
摘要

Abstract Background Sentinel lymph node (SLN) property assessment (with or without metastasis) is important when deciding the surgery for breast cancer; however, the current diagnosis of SLN metastasis remains to be studied. microRNAs (miRNAs) have been confirmed previously as a molecular marker for the diagnosis, development and prognosis of tumors. However, the detailed role of miRNAs in the diagnosis of SLN metastasis has not been reported. Methods The present study aimed to explore the potential use of miRNAs in the diagnosis of SLN using RNA sequencing (RNA‐seq) and a quantitative real‐time polymerase chain reaction (qRT‐PCR) to compare the expression profiles of miRNAs in patients with breast cancer with or without SLN metastasis. Results The RNA‐seq results revealed that 1993 miRNAs were differentially expressed in patients with breast cancer with SLN metastasis. Among these miRNAs, 1960 were up‐regulated and 33 were down‐regulated. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses revealed that these differentially expressed miRNAs were associated with tumor growth and metastasis and were also predicted to regulate a series of tumorigenesis and metastasis genes. In particular, the most differentially expressed miRNAs were validated by qRT‐PCR, such that miR‐200a‐3p and miR‐96‐5p were up‐regulated and miR‐1‐3p and miR‐486‐3p were down‐regulated in patients with breast cancer with SLN metastasis. Conclusions The findings of the present study suggest that there is an association of miRNAs with SLN metastasis and also that miRNAs function as biomarkers with respect to the choice of therapy and disease prognosis.
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
1秒前
结实的泥猴桃完成签到 ,获得积分10
2秒前
石头完成签到,获得积分10
2秒前
鹏-zp完成签到,获得积分10
3秒前
orixero应助乐糖采纳,获得10
3秒前
落寞代亦完成签到,获得积分10
3秒前
3秒前
阿莫西西林关注了科研通微信公众号
3秒前
3秒前
机会发布了新的文献求助10
4秒前
关键词发布了新的文献求助10
4秒前
4秒前
dd发布了新的文献求助10
4秒前
穿堂风完成签到,获得积分10
4秒前
Youngcius发布了新的文献求助10
5秒前
星辰大海应助punster采纳,获得10
5秒前
科研通AI5应助111采纳,获得10
5秒前
Chamber完成签到,获得积分10
5秒前
烟花应助暖风采纳,获得10
5秒前
xerrr发布了新的文献求助10
6秒前
斯文败类应助ai化学采纳,获得10
6秒前
寄草完成签到,获得积分10
6秒前
6秒前
7秒前
烟花应助高山我梦采纳,获得10
7秒前
研友_VZG7GZ应助水水采纳,获得10
7秒前
最爱不过陈奕迅完成签到,获得积分10
8秒前
小二郎应助有魅力的臻采纳,获得10
8秒前
ZZY完成签到,获得积分20
8秒前
kkkkkk8发布了新的文献求助10
9秒前
赘婿应助wind采纳,获得10
9秒前
10秒前
欣喜的以丹完成签到,获得积分10
10秒前
zk发布了新的文献求助10
10秒前
zz321完成签到,获得积分10
11秒前
karL完成签到,获得积分10
11秒前
科研通AI2S应助111采纳,获得10
11秒前
wjjc完成签到,获得积分20
12秒前
judy完成签到,获得积分10
12秒前
12秒前
高分求助中
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Technologies supporting mass customization of apparel: A pilot project 450
China—Art—Modernity: A Critical Introduction to Chinese Visual Expression from the Beginning of the Twentieth Century to the Present Day 430
Tip60 complex regulates eggshell formation and oviposition in the white-backed planthopper, providing effective targets for pest control 400
A Field Guide to the Amphibians and Reptiles of Madagascar - Frank Glaw and Miguel Vences - 3rd Edition 400
China Gadabouts: New Frontiers of Humanitarian Nursing, 1941–51 400
The Healthy Socialist Life in Maoist China, 1949–1980 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3790672
求助须知:如何正确求助?哪些是违规求助? 3335502
关于积分的说明 10275183
捐赠科研通 3052003
什么是DOI,文献DOI怎么找? 1674979
邀请新用户注册赠送积分活动 802968
科研通“疑难数据库(出版商)”最低求助积分说明 761001