特征选择将药物反应预测因子从细胞系转化为患者
Shinsheng Yuan1,2, Yen-Chou Chen1, Chi-Hsuan Tsai1
1Institute of Statistical Science, Academia Sinica, Taipei, Taiwan.
Frontiers in genetics
|July 31, 2023
概括
由于患者数据有限,预测癌症药物反应具有挑战性. 这项研究引入了多功能特征选择方法,有效地将细胞系药物反应预测因子转化为人类瘤,优于现有的方法.
科学领域:
- 在瘤学瘤学.
- 计算生物学 计算生物学
- 药物基因组学 药物基因组学
背景情况:
- 鉴定癌症向疗法和化疗的预测标志物至关重要,但由于患者药物反应数据稀少而受到限制.
- 利用广泛的细胞系药物反应数据,需要有效的方法来将这些发现转化为人类瘤的临床应用.
研究的目的:
- 开发多功能特征选择程序,用于构建癌症药物反应的准确和可解释的预测模型.
- 为了使细胞系训练的预测因子能够转化为人类瘤,改善癌症治疗的患者分层.
主要方法:
- 拟议的多功能特征选择程序与各种分类器兼容.
- 通过将特征选择与logit (LogitDA) 和K-近邻 (KNNDA) 分类器结合在细胞系数据上进行训练来证明方法.
- 在LogitDA中对预测截止值进行了新的调整,以提高预测准确度.
主要成果:
- 在预测AUC方面,LogitDA和KNNDA显著优于现有方法 (十种药物中的七种药物为0.70-1.00).
- 开发的模型证明了可解释性,为药物反应机制提供了洞察力.
- 对于包括erlotinib和cetuximab在内的7种药物,预测准确度为0.70-0.93,相关途径未被发现.
结论:
- 提出的特征选择方法有效地将细胞系训练的预测因子转化为人类瘤.
- 这些进展可以帮助分层癌症患者,以获得更有效的向治疗和化疗.
- 这些模型的可解释性为癌症治疗策略提供了宝贵的生物学见解.
相关概念视频
Drug Discovery: Overview
8.1K
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
8.1K
Factors Affecting Drug Response: Overview
2.0K
When it comes to infants and young children, they are typically administered smaller doses of medication in comparison to adults. This is primarily because their organ functions still need to fully develop, meaning their bodies are not as efficient at metabolizing or eliminating drugs. Additionally, their blood-brain barrier is more permeable than in adults. As a result, high concentrations of drugs can easily penetrate the central nervous system (CNS), potentially leading to neurological...
2.0K
Analysis of Population Pharmacokinetic Data
296
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
296
Combination Therapies and Personalized Medicine
4.9K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
4.9K
Pharmacokinetic Models: Comparison and Selection Criterion
106
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
106


