相关实验视频

Updated: May 28, 2025

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Published on: September 18, 2020

基于基因功能方法的低生存率癌症的DNA甲基化生物标志物分析

Yi-Hsuan Tsai¹, Prasenjit Mitra², David Taniar³

¹Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan.

Frontiers in bioinformatics

|February 13, 2025

概括

确定用于胰腺,肝脏和肺癌等早期癌症的新型DNA甲基化生物标志物至关重要. 这项研究发现了八个关键生物标志物,其中ALX3,NPTX2和TRIM58显示了多种癌症类型的高预测准确性.

科学领域:

在瘤学瘤学.
表观遗传学在表观遗传学中,表观遗传学是指表观遗传学.
生物标志物发现发现

背景情况:

早期检测癌症的低生存率 (胰腺,食道,肝脏,肺,大脑) 是至关重要的.
DNA甲基化分析提供了一种有效的方法来识别早期癌症的表观遗传变化.
将甲基化概况与并发症数据相结合,可以揭示常见的癌症生物标志物.

研究的目的:

在五种特定的低存活率癌症类型中确定常见的DNA甲基化生物标志物.
通过基因本体学对已识别的生物标志物进行分类,并探索它们与癌症的功能关系.
使用这些生物标志物开发癌症检测的预测模型.

主要方法:

全基因组的DNA甲基化概况与并发症模式相结合.
基因本体学 (GO) 和KEGG通路分析被用于功能分类.
一个预测模型被开发和验证在十种常见的癌症类型.

主要成果:

对于五种目标癌症,已经确定了八种关键的DNA甲基化生物标记物 (ALX3,HOXD8,IRX1,HOXA9,HRH1,PTPRN2,TRIM58,NPTX2).
生物标志物在功能上被分类,揭示了不同的角色.
结合ALX3,NPTX2和TRIM58,在10种常见癌症中实现了93.3%的预测准确度.

结论:

已识别的DNA甲基化生物标志物对早期癌症检测有前途,特别是在攻击性癌症类型中.
功能分析提供了对这些癌症背后的生物学机制的洞察.
经过验证的预测模型证明了在癌症诊断中广泛临床应用的潜力.

关键词:

通过KEGG路径.伴随性疾病的病情模式早期检测早期检测基因本体学基因本体学支持矢量机器的支持矢量机器.

更多相关视频

Continuous Fluorescence-Based Endonuclease-Coupled DNA Methylation Assay to Screen for DNA Methyltransferase Inhibitors

Continuous Fluorescence-Based Endonuclease-Coupled DNA Methylation Assay to Screen for DNA Methyltransferase Inhibitors

Published on: August 5, 2022

Methyl-binding DNA capture Sequencing for Patient Tissues

Methyl-binding DNA capture Sequencing for Patient Tissues

Published on: October 31, 2016

相关概念视频

Epigenetic Regulation

Epigenetic Regulation

Epigenetic changes alter the physical structure of the DNA without changing the genetic sequence and often regulate whether genes are turned on or off. This regulation ensures that each cell produces only proteins necessary for its function. For example, proteins that promote bone growth are not produced in muscle cells. Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
X-chromosome...

Cancer Survival Analysis

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...