瘤突变负担被目标癌症基因小组高估了
Hu Fang1,2, Johanna Bertl3, Xiaoqiang Zhu1
1School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Journal of the National Cancer Center
|July 22, 2024
概括
癌症基因组经常高估瘤突变负担 (TMB),可能错误地将患者分类为免疫检查点抑制剂 (ICI). 一个新的统计模型纠正了整个外体和面板数据之间的TMB差异,改善了ICI治疗的患者分层.
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:
- 瘤突变负担 (TMB) 是预测免疫检查点抑制剂 (ICI) 反应的关键生物标志物.
- TMB计算方法因使用整个外体或目标面板测序数据而有所不同.
- 突变在癌症基因组中的不均分布在不同基因组区域的TMB解释中产生了不确定性.
研究的目的:
- 调查整个外因组测序和向基因组之间TMB计算中的差异.
- 开发一个通用的统计模型,在不同的测序方法中协调TMB值.
- 通过纠正TMB值来改善免疫检查点抑制剂 (ICI) 治疗的患者分层.
主要方法:
- 从癌症基因组图谱 (10,179个样本) 收集的泛癌症数据以及已发表的研究 (6,831名患者) 的ICI/非ICI治疗结果.
- 以基因组区域大小规范的非同义突变计算TMB.
- 采用迪里克莱特方法,线性回归和Poisson校准模型,从各种基因组中统一TMB.
主要成果:
- 癌症基因小组倾向于高估TMB与整个外体序列相比,这可能导致ICI治疗的错误分类.
- 这种高估归因于癌症基因突变的积极选择,并不能通过去除突变热点来完全解决.
- 开发了一种通用统计模型,用于从整个外体和面板数据中相互转换TMB值,在接受ICI治疗的肺癌队列中显示出更好的表现.
结论:
- 基于癌症基因的小组经常高估TMB,影响ICI治疗的临床决策.
- 开发的通用统计模型提供了一种方法,用于统一跨不同面板的TMB计算.
- 这些发现对于在临床实践中标准化TMB评估至关重要,以确保免疫治疗患者的准确分层.
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