将性别和性别差异视为连续变量可以改善精确的癌症治疗方法
Wei Yang1, Joshua B Rubin2,3
1Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Biology of sex differences
|April 15, 2024
概括
性别和性别显著影响癌症,但目前的治疗方法不是个性化的. 一个新的转录基因指数 (TI) 量化了这些变异,使得量身定制的精确癌症疗法成为可能.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 癌症中的性别和性别差异得到了充分的记录,但很少被纳入临床实践.
- 现有的癌症分类未能捕捉到性别和性别对疾病机制的影响的连续光谱.
- 将这些差异转化为有效的治疗方法需要超越二元类别.
研究的目的:
- 开发一种方法来量化患者特定的性别和癌症转录组上的性别影响.
- 确定受不同癌症类型性别和性别变异影响的可向途径.
- 为性别和适应性别的精确癌症医学奠定基础.
主要方法:
- 分析了来自30种癌症类型 (成人和儿科) 的8370个转录组.
- 从转录组数据来预测患者的性别和性别的后部概率的计算.
- 基于转录组相似性和性别/性别预测的转录组指数 (TI) 的开发.
主要成果:
- 转录基因指数 (TI) 有效量化了患者特定的性别和性别表型.
- TI发现了与性别和性别偏见相关的细胞周期信号和免疫的变异.
- 每位患者的转录组被映射到一个持续的性别和性别变异轴上.
结论:
- 癌症类型,患者的性别和TI值提供了一个新的,患者特定的标识符.
- 这种方法可以实现现实的,适应性别和性别的精确癌症治疗规划.
- 这些发现为更加个性化和有效的癌症治疗铺平了道路.
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