考虑性别差异作为癌症治疗中的连续变量
Wei Yang1, Joshua B Rubin2,3
1Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110.
Research square
|July 18, 2023
概括
癌症中的性别差异是复杂的,需要个性化治疗. 一个新的转录组指数 (TI) 工具分析患者的转录组,以确定精确癌症治疗的性别特异机制.
科学领域:
- 在瘤学瘤学.
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
背景情况:
- 癌症发病率,机制和存活率的显著性别差异尚未被纳入临床实践.
- 翻译这些差异是具有挑战性的,因为重叠,连续的人口分布,而不是不同的类别.
研究的目的:
- 开发一种工具,以基于可变性对可向途径的性别影响来调整癌症治疗方法.
- 为精确的癌症治疗计划创建一个特定于患者的机械识别符.
主要方法:
- 应用贝叶斯近邻 (BNN) 分析到30种癌症类型的8370种癌症转录组.
- 开发了针对患者的转录组指数 (TI),以将转录组映射到机械化表型上.
- 利用TI分析癌症机制的性别特异性变异.
主要成果:
- 转录组指数 (TI) 精确地将患者的转录组定位在机械表型 (例如细胞周期,免疫力) 的轴上.
- TI方法揭示了男性和女性之间的可识别的机械差异,即使TI值相同.
- 癌症类型,患者性别和TI值提供了一个新的,患者特定的标识符.
结论:
- TI方法为了解和解决癌症中的性别差异提供了一种新的方法.
- 这种特定于患者的标识符可以通过考虑性别特定的机制来指导精确的癌症治疗计划.
- 调整治疗以适应路径上的变量性别效应是一个比性别特定治疗更现实的转化目标.
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