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ssMutPA:基于单个样本突变的途径分析方法用于癌症精确医学

Yalan He¹, Jiyin Lai¹, Qian Wang¹

¹College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.

|December 20, 2024

概括

这项研究引入了一种新方法,即基于单个样本突变的途径分析 (ssMutPA),用于使用体质突变分析癌症途径. 这种方法有助于识别癌症亚型和精准医学的潜在生物标志物.

科学领域:

在瘤学瘤学.
生物信息学是一种生物信息学.
计算生物学计算生物学

背景情况:

在精准医学中,单样样本路径丰富分析对于识别癌症亚型和生物标志物至关重要.
目前的方法主要集中在基因表达上,忽视了体突变在癌症发展中的关键作用.

研究的目的:

开发一种基于单个样本突变的新途径分析方法 (ssMutPA).
通过整合体质突变数据和蛋白质-蛋白质相互作用网络来推断个性化途径活动.
为了补充现有的基因表达聚焦的通路分析方法用于精准医学.

主要方法:

ssMutPA使用基于网络拓学的本地和全球加权策略评估突变的基因效应.
它为每个途径计算了一个单个样本基于突变的途径丰富得分 (ssMutPES).
该方法将体突变数据与蛋白质-蛋白质相互作用网络相结合.

主要成果:

ssMutPA应用于来自癌症基因组图谱的33个癌症队列,揭示了具有明显预后的患者分层.
鉴定出的特征性途径显示了癌症之间显著的重叠,这表明它们有可能作为预后生物标志物.
适用于黑色素瘤队列,确定了可能从免疫治疗中受益的患者子组.

结论:

ssMutPA成功地推断出基于突变的个性化途径活动概况.
该方法补充了现有的基于基因表达的分析,增强了精确医学的发展.
该 ssMutPA 工具是公开可用于研究的.

关键词:

癌症亚型癌症亚型网络拓学网络拓学精准医学是一门精准医学.单样样本分析路径分析身体突变是一种体质突变.

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