Transcriptomic Signature of 3D Hierarchical Porous Chip Enriched Exosomes for Early Detection and Progression Monitoring of Hepatocellular Carcinoma

外体 肝细胞癌 液体活检 微泡 癌症研究 小RNA 医学 癌症 生物 基因 内科学 生物化学
作者
Kezhen Yi,Y. Wang,Yuan Rong,Yiru Bao,Yingxue Liang,Yiyi Chen,Fusheng Liu,Shikun Zhang,Yuan He,Weihuang Liu,Chengliang Zhu,Long Wu,Jin Peng,Hao Chen,Wei‐Hua Huang,Yufeng Yuan,Min Xie,Fubing Wang
出处
期刊:Advanced Science [Wiley]
卷期号:11 (14): e2305204-e2305204 被引量:22
标识
DOI:10.1002/advs.202305204
摘要

Abstract Hepatocellular carcinoma (HCC) is a highly lethal malignant tumor, and the current non‐invasive diagnosis method based on serum markers, such as α‐fetoprotein (AFP), and des‐γ‐carboxy‐prothrombin (DCP), has limited efficacy in detecting it. Therefore, there is a critical need to develop novel biomarkers for HCC. Recent studies have highlighted the potential of exosomes as biomarkers. To enhance exosome enrichment, a silicon dioxide (SiO 2 ) microsphere‐coated three‐dimensional (3D) hierarchical porous chip, named a SiO 2 ‐chip is designed. The features of the chip, including its continuous porous 3D scaffold, large surface area, and nanopores between the SiO 2 microspheres, synergistically improved the exosome capture efficiency. Exosomes from both non‐HCC and HCC subjects are enriched using an SiO 2 ‐chip and performed RNA sequencing to identify HCC‐related long non‐coding RNAs (lncRNAs) in the exosomes. This study analysis reveales that LUCAT‐1 and EGFR‐AS‐1 are two HCC‐related lncRNAs. To further detect dual lncRNAs in exosomes, quantitative real time polymerase chain reaction (qRT‐PCR) is employed. The integration of dual lncRNAs with AFP and DCP significantly improves the diagnostic accuracy. Furthermore, the integration of dual lncRNAs with DCP effectively monitors the prognosis of patients with HCC and detects disease progression. In this study, a liquid biopsy‐based approach for noninvasive and reliable HCC detection is developed.
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
FashionBoy应助nn采纳,获得10
1秒前
王丹丹发布了新的文献求助10
1秒前
没有脑袋完成签到,获得积分10
1秒前
崔噔噔发布了新的文献求助10
1秒前
善良羿应助饱满棒棒糖采纳,获得10
2秒前
时不言发布了新的文献求助10
3秒前
七月发布了新的文献求助10
3秒前
玩命的伯云应助li采纳,获得10
3秒前
nalanwude发布了新的文献求助10
3秒前
不忮刀完成签到,获得积分10
3秒前
田様应助Chao采纳,获得10
3秒前
小林发布了新的文献求助10
4秒前
英俊的铭应助干苡瑄采纳,获得10
4秒前
5秒前
寒风发布了新的文献求助10
5秒前
yl发布了新的文献求助10
5秒前
5秒前
小唐完成签到,获得积分10
6秒前
agnehc完成签到,获得积分20
7秒前
7秒前
8秒前
9秒前
9秒前
行而知完成签到,获得积分10
9秒前
10秒前
香蕉觅云应助七月采纳,获得10
10秒前
晚风发布了新的文献求助10
11秒前
威武的人杰发布了新的文献求助240
11秒前
12秒前
13秒前
13秒前
hzy发布了新的文献求助20
14秒前
14秒前
14秒前
14秒前
杨文志发布了新的文献求助10
14秒前
小蘑菇应助dmm采纳,获得10
14秒前
15秒前
15秒前
万能图书馆应助zheng-homes采纳,获得10
15秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7241161
求助须知:如何正确求助?哪些是违规求助? 8865997
关于积分的说明 18702542
捐赠科研通 6913352
什么是DOI,文献DOI怎么找? 3195700
关于科研通互助平台的介绍 2368359
邀请新用户注册赠送积分活动 2170265