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对12种癌症类型的多平台分析揭示了起源组织内部和跨组织的分子分类

Katherine A Hoadley¹, Christina Yau², Denise M Wolf³

¹Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA.

|August 12, 2014

概括

癌症基因组签名可以将不同类型的瘤统一为11个亚型. 这种泛癌分类揭示了整个组织的共同分子特征,有助于理解疾病并改善患者的治疗结果.

科学领域:

基因组学和蛋白质组学
癌症生物学癌症生物学
翻译性瘤学翻译性瘤学

背景情况:

病理瘤分类识别特定组织的亚型.
基因组癌症特征的跨组织共享仍然在很大程度上未被探索.

研究的目的:

为了研究不同癌症类型中共享基因组签名的程度.
开发一个统一的,基于多平台的癌症分类系统.

主要方法:

综合分析了五个全基因组和一个蛋白质基因平台的数据.
利用来自12种不同癌症类型的3527个样本.
开发了一个统一的分类,分为11个主要的胰腺癌亚型.

主要成果:

确定了11种主要的癌症亚型,其中五种反映了原产地组织分类.
观察到不同类型的癌症 (例如,肺状,头,膀) 的融合,形成由特定的基因组变化 (TP53,TP63) 和基因表达模式特征的共同亚型.
发现膀癌分布在三个不同的泛癌亚型中.
多平台分类提供临床结果的预测信息,独立于来源组织.

结论:

一个统一的,多平台的癌症分类揭示了在各种组织中共享的基因组和蛋白质组签名.
这种全癌症方法为瘤生物学和潜在的治疗策略提供了新的见解.
综合数据集作为未来癌症研究和发现的统一资源.

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