Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jun 9, 2025

Cell-Free DNA Integrity Analysis in Urine Samples
07:58

Cell-Free DNA Integrity Analysis in Urine Samples

Published on: January 5, 2017

13.8K

基于机器学习的检测膀癌的尿液cfDNA碎片化热点,捕获癌症相关的分子特征.

Xiang-Yu Meng1,2, Xiong-Hui Zhou3, Shuo Li4,5

  • 1Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.

Clinical chemistry
|October 21, 2024
PubMed
概括

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Integrative multi-omics reveals MHC class II-mediated neuroinflammation and systemic metabolic dysregulation as transdiagnostic drivers in major brain disorders.

Translational psychiatry·2026
Same author

Frequency-Domain Transformation of cfDNA End-Motif Profiles Enhances Robust Cancer Detection.

Genes·2026
Same author

Harnessing CRISPR-Cas12 and Microfluidics Chips for Multiplex Respiratory Pathogens Diagnosis.

ACS sensors·2026
Same author

Intermittent fasting ameliorates diabetes-induced meibomian gland dysfunction in mice.

International journal of ophthalmology·2026
Same author

Capture and Culture of Circulating Tumor Cells Using a Biodegradable 3D Scaffold for Patient-Derived Xenograft Construction.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

ML-ExonCNV: a robust XGBoost multi-expert ensemble framework for rare exon CNV detection in whole-exome sequencing data.

Briefings in bioinformatics·2026

使用无细胞DNA (cfDNA) 断片组的液体活检显示出非侵入性膀癌 (BLCA) 检测的前景. 这种基于cfDNA热点的模型在BLCA诊断的100%特异性下达到87%的灵敏度.

科学领域:

  • 在瘤学瘤学.
  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 检测非侵入性膀癌 (BLCA) 是一个重要的未满足的临床需求.
  • 无细胞DNA (cfDNA) 碎片组学提供了一个潜在的非侵入性诊断方法.

研究的目的:

  • 评估基于cfDNA热点BLCA检测的机器学习模型的诊断性能.
  • 探索BLCA中cfDNA热点的生物基础.

主要方法:

  • 评估了cfDNA热点驱动机器学习模型的诊断性能,对55名BLCA患者,51名良性对照患者和11名健康志愿者的队列进行了评估.
  • 进行功能生物信息学分析以了解诊断能力.

主要成果:

  • 该cfDNA热点模型实现了高诊断性能 (AUC 0.96),在BLCA检测的100%特异性下具有87%的灵敏度.
  • 该模型与其他cfDNA衍生特征相比,表现出更高的性能.
  • 阶段分层分析显示,在100%的特异性下,早期阶段的BLCA有71%的灵敏度,晚期的BLCA有92%的灵敏度.

结论:

  • 尿液cfDNA碎片化的热点适用于非侵入性的BLCA诊断.

更多相关视频

Detection of Cell-Free DNA in Blood Plasma Samples of Cancer Patients
08:25

Detection of Cell-Free DNA in Blood Plasma Samples of Cancer Patients

Published on: September 9, 2020

10.9K
Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids
06:53

Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids

Published on: June 8, 2019

8.6K

相关实验视频

Last Updated: Jun 9, 2025

Cell-Free DNA Integrity Analysis in Urine Samples
07:58

Cell-Free DNA Integrity Analysis in Urine Samples

Published on: January 5, 2017

13.8K
Detection of Cell-Free DNA in Blood Plasma Samples of Cancer Patients
08:25

Detection of Cell-Free DNA in Blood Plasma Samples of Cancer Patients

Published on: September 9, 2020

10.9K
Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids
06:53

Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids

Published on: June 8, 2019

8.6K
  • 这些发现支持对BLCA分子病理学和异质性的进一步翻译研究.