突变负担独立预测泛癌症地图中的生存率
Jeffrey R Smith1,2,3,4, Fritz F Parl2,5, William D Dupont2,3,4,6,7
1Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
JCO precision oncology
|June 5, 2023
概括
瘤突变负担,包括短置换和插入-删除突变 (SMs) 和副本数变化 (CNAs),独立预测癌症存活率. 这一发现为传统的癌症因素提供了一个新的预后工具.
科学领域:
- 基因组医学是一种基因组医学.
- 癌症基因组学 癌症基因组学
- 翻译性瘤学是指翻译性瘤学.
背景情况:
- 传统的癌症生存预测因素包括组织病理学,阶段和等级.
- 瘤体突变的预后作用仍未得到充分研究.
研究的目的:
- 调查主要类型的瘤体突变是否可以预测癌症存活率.
- 评估突变负担的预后能力与已确定的临床因素一起.
主要方法:
- 使用了泛癌症地图数据集 (10,652名患者,32种癌症类型).
- 评估了短置换和插入-删除突变 (SMs),拷贝数改变 (CNAs) 和基因融合.
- 评估对整体和疾病特异性生存时间的影响,并根据临床预测因素进行调整.
主要成果:
- 微小质细胞数和CNA分数是生存的重要独立预测指标.
- 突变负担和存活率之间的关系是非线性的,在低负担和高负担极端的情况下,存活率得到改善.
- 在特定的癌症类型,阶段和等级内,SM数量和CNA分数改善了生存预测.
结论:
- 身体突变负担是癌症生存的关键预后指数.
- 突变负担的临床效用与传统的癌症存活因子相当.
- 基因组分析为癌症患者的分层和治疗策略提供了宝贵的见解.
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