乳腺和结肠直肠癌风险的代谢物预测因素在妇女健康倡议中
Sandi L Navarro1, Brian D Williamson2,3,4, Ying Huang3,4,5
1Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Metabolites
|August 28, 2024
概括
对血液和尿液样本的代谢学分析显示,某些代谢物可以在诊断前几年预测结直肠癌 (CRC) 风险. 然而,这些代谢物并没有改善乳腺癌 (BC) 的预测,超出了现有的风险因素.
科学领域:
- 代谢学 代谢学 代谢学
- 生物标志物 生物标志物
- 癌症流行病学 癌症流行病学
背景情况:
- 代谢学为暴露组提供了一个窗口,反映环境暴露和代谢过程.
- 了解代谢特征可能会提高早期癌症检测和风险预测.
研究的目的:
- 评估前性测量代谢物对乳腺癌 (BC) 和结直肠癌 (CRC) 的预测能力.
- 为了确定代谢物是否能改善癌症风险预测,超出已确定的风险因素.
主要方法:
- 从758名患有BC或CRC的妇女和758名使用LC-MS/MS,脂管学,GC-MS和NMR的对照进行血清和尿液样本的分析.
- 应用LASSO回归和超级学习算法用于特征选择和预测模型开发.
- 使用交叉验证 (CV) 来确定预测准确度 (CV-AUC) 的性能评估.
主要成果:
- 代谢物没有提高乳腺癌的预测性能 (CV-AUC ~0.57).
- 代谢物显著提高了结直肠癌的预测性能 (CV-AUC中位数从~0.54增加到~0.60).
- 促进CRC预测的关键代谢物包括与能量,蛋白质和饮食/微生物代谢有关的代谢物.
结论:
- 预期测量的代谢物显示出改善结直肠癌风险预测的潜力.
- 与能量代谢相关的代谢物可能在早期结直肠癌的发展中发挥关键作用.
- 代谢分析可能会在临床诊断前几年提供有关癌症发展的见解.
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