相关实验视频

Updated: Jan 11, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

一个简化的新算法来预测21个基因的复发率得分

Maher A Sughayer¹, Bayan Maraqa¹, Batool Qura'an²

¹Department of Pathology and Laboratory Medicine, King Hussein Cancer Center, Amman, Jordan.

World journal of oncology

|November 10, 2025

概括

使用组织学等级和孕激素受体 (PR) 表达的新算法准确地预测型DX复发得分 (RS) 类别. 这种工具有助于乳腺癌治疗决策,特别是在分子测试有限的地方.

科学领域:

在瘤学瘤学.
病理学病理学病理学
基因组学就是基因组学.

背景情况:

21基因复发得分 (瘤型DX) 对于早期ER+/HER2乳腺癌的辅助化疗决定至关重要.
型DX的高成本和有限的可用性需要使用常规病理参数的更简单的预测模型.

研究的目的:

开发和验证一个实际的,基于规则的算法,用于预测Oncotype DX复发分数 (RS) 类别.
为了利用组织学等级和孕激素受体 (PR) 表达率来进行风险分层.

主要方法:

对528名ER+/HER2-早期乳腺癌患者进行回顾性研究,这些患者接受了型DX测试.
随机分配到学习 (n=377) 和验证 (n=151) 集合.
单变量分析和ROC曲线用于确定风险分层的组织学等级内的PR%切线.

主要成果:

组织学等级和PR%与RS有显著的关联.
1级瘤的风险较低;2级需要PR≥60%的低RS;3级需要PR<40%的高风险.
该算法在验证集中实现了87.5%的灵敏度,100%的特异性和99%的整体准确性,对~65%的病例进行了分层.

结论:

一个简化的算法使用组织学等级和PR%准确地预测型DX RS类别.
这种工具可以在没有分子测试的情况下实现自信的风险分层,提供了低成本,实用的解决方案.
对于临床决策而言,在资源有限的环境中尤其有利.

关键词:

21基因复发率得分 21基因复发率得分乳腺癌乳腺癌乳腺癌历史学级的档次是历史学级的.型DX是DX的型型.预测算法预测算法孕激素受体是什么? 孕激素受体是什么?

更多相关视频

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

相关概念视频

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...

Single Nucleotide Polymorphisms-SNPs

Single Nucleotide Polymorphisms-SNPs

A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...

Comparing Copy Number Variations and SNPs

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...