前列腺癌活检中的尿液挥发性有机化合物 病理风险分层使用后勤回归和多变量分析模型
Sabur Badmos1, Elizabeth Noriega-Landa1, Kiana L Holbrook1
1Department of Chemistry and Biochemistry, University of Texas at El Paso El Paso, Texas, USA.
American journal of cancer research
|February 7, 2024
概括
这项研究引入了一种使用尿液挥发性有机化合物 (VOC) 检测前列腺癌 (PCa) 和其等级的新方法. 这种方法为当前查方法提供了一个有希望的替代方案,可能减少不必要的活检.
科学领域:
- 代谢学 代谢学 代谢学
- 分析化学 分析化学
- 计算生物学 计算生物学
背景情况:
- 前列腺癌 (PCa) 是男性癌症死亡的主要原因.
- 目前的前列腺特异性抗原 (PSA) 测试缺乏特异性,导致过度诊断和不必要的活检.
- 需要新的诊断工具来准确检测和分类PCa.
研究的目的:
- 探索尿液挥发性有机化合物 (VOC) 在PCa诊断中的使用.
- 开发和评估用于PCa检测和等级评估的机器学习模型.
- 为当前的PCa选方法提供替代或辅助方法.
主要方法:
- 分析了386名男性 (247名PCa,139名对照) 的尿样.
- 挥发性有机化合物 (VOC) 通过棒取提取 (SBSE) 来提取.
- 采用了气色谱-质谱 (GC-MS) 和机器学习的规范化后勤回归.
主要成果:
- 一个诊断模型的AUC值为0.99 (训练) 和0.88 (测试).
- 一个区分低等级和中等/高等级PCa的模型实现了0.78.7的平均AUC.
- 在尿液样本中发现了超过22,000个VOC.
结论:
- 尿液VOC分析与机器学习相结合,显示PCa检测的高精度.
- 这种方法可以帮助区分PCa等级,有助于活检向.
- 这种方法为改善PCa查和管理提供了一个有希望的非侵入性工具.
相关概念视频
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...
Urinary Tract Infection III: Diagnostic Studies and Interprofessional Care
A healthcare provider can diagnose a urinary tract infection (UTI) through several methods:Medical History and Symptoms: The provider will take a detailed medical history and ask about symptoms such as frequent urination, burning sensation during urination, and lower abdominal pain.Urinalysis: A clean-catch urine sample is collected in a sterile container and tested for the presence of bacteria, white blood cells (leukocytes), nitrites, blood, and protein. The presence of leukocytes and...
Urine Studies I: Urinalysis
Urinalysis is a widely used diagnostic test that analyzes urine's physical, chemical, and microscopic characteristics. Healthcare providers use it to detect and monitor various health conditions, including renal disease, urinary tract infections (UTIs), diabetes, and metabolic or systemic disorders.Components of UrinalysisUrinalysis consists of three primary components: physical, chemical, and microscopic examination. Each provides unique insights into the urine sample and, by extension, the...


