PATH-SURVEYOR:用于免疫瘤学和药物重定向的途径水平生存调查
Alyssa N Obermayer1, Darwin Chang2, Gabrielle Nobles3
1Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA.
BMC bioinformatics
|June 28, 2023
概括
PATH-SURVEYOR提供了一种用于途径水平生存分析的新工具,识别癌症治疗反应的生物标志物. 这种方法有助于发现高风险儿科急性髓性白血病 (AML) 的药物标.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 癌症基因组学 癌症基因组学
背景情况:
- 途径级生存分析可以揭示患者结果的分子驱动因素.
- 现有的算法缺乏全面的路径分析功能和简化的工作流程.
研究的目的:
- 介绍PATH-SURVEYOR,这是一个全面的套件,用于途径级生存分析,具有用户友好的界面.
- 为了能够在考克斯的比例危险模型中系统地探索路径和共变量.
- 为了整合危险比率排名基因组丰富分析和途径聚类.
主要方法:
- 开发PATH-SURVEYOR,一种用于途径级生存分析的闪亮应用程序.
- 该工具应用于用免疫检查点抑制 (ICI) 治疗黑色素瘤患者队列.
- 对儿科急性髓性白血病 (AML) 基因表达数据的分析,以确定药物标.
主要成果:
- 鉴定免疫群体和生物标志物,预测ICI在黑色素瘤中的疗效.
- 在高风险的KMT2A融合阳性AML患者中发现潜在的药物标.
- 在AML细胞系中确定药物标的验证,使用药物敏感性基因组学数据库.
结论:
- PATH-SURVEYOR为途径级生存分析提供了一个强大的平台,有助于发现预后生物标志物和治疗点.
- 该工具有助于探索不同生物分辨率的分子特征,免疫特征和药物点.
- 这一框架通过整合途径层面的见解来增强对癌症患者结果的理解.
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