通过高度集成的数字 PCR 系统进行尿液液体活检以准确检测膀胱癌（Adv. Therap.）

IF 3.7 4区医学 Q2 PHARMACOLOGY & PHARMACY

Advanced Therapeutics Pub Date : 2024-10-13 DOI:10.1002/adtp.202470020

Yue Zhang, Ming Xu, Zhihong Wu, Fan Yang, Lu Zhang, Yiquan Liu, Jiahao Lv, Shuyue Xiang, Beiyuan Fan, Zijian Zhao, Yanzhao Li, Yang Yu

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引用次数: 0

摘要

在第2400191号文章中，赵子健、李彦钊、于洋及其合作者利用片上加热dPCR系统开发了一种基于尿液的膀胱癌高精度诊断工具。通过整合遗传学和表观遗传学生物标记物并利用机器学习优化诊断模型，该工具在检测膀胱癌方面实现了高灵敏度和高特异性，并显示出区分肿瘤分期的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Urine Liquid Biopsies via Highly Integrated Digital PCR System for Accurate Detection of Bladder Cancer (Adv. Therap. 10/2024)

查看原文本刊更多论文

Urine Liquid Biopsies via Highly Integrated Digital PCR System for Accurate Detection of Bladder Cancer (Adv. Therap. 10/2024)

In article 2400191, Zijian Zhao, Yanzhao Li, Yang Yu, and co-workers develop a highly accurate urine-based diagnostic tool for bladder cancer using an on-chip heating dPCR system. By integrating genetic and epigenetic biomarkers and optimizing the diagnostic model with machine learning, the tool achieved high sensitivity and specificity in detecting bladder cancer and shows potential for differentiating tumor stages.

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来源期刊

Advanced Therapeutics Pharmacology, Toxicology and Pharmaceutics-Pharmaceutical Science

CiteScore

7.10

自引率

2.20%

发文量

130