基于内在亚型的乳腺癌监督风险预测器
Joel S Parker1, Michael Mullins1, Maggie C U Cheang1
1From the Lineberger Comprehensive Cancer Center and Departments of Genetics, Pathology and Laboratory Medicine, and Department of Statistics and Operations Research, Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC; Department of Pathology, University of Utah Health Sciences Center; ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, UT; Genetic Pathology Evaluation Centre, Department of Pathology, Vancouver Coastal Health Research Institute; Departments of Pathology and Radiation Oncology, British Columbia Cancer Agency; Department of Pathology, University of British Columbia, Vancouver, British Columbia, Canada; Genome Sequencing Facility and Division of Oncology, Department of Medicine, Washington University School of Medicine, St Louis, MO; and Department of Pathology, Thomas Jefferson University, Philadelphia, PA.
一个新的基因表达模型改善了乳腺癌的预后,并预测了化疗反应. 这种内在亚型模型为管理节点阴性乳腺癌和评估新辅助化疗疗效率提供了宝贵的见解.
科学领域:
- 基因组学就是基因组学.
- 在瘤学瘤学.
- 生物统计学 生物统计学
背景情况:
- 目前的乳腺癌预后和化疗预测模型需要改进.
- 基因表达特征分析为改进这些模型提供了一个有前途的途径.
研究的目的:
- 开发一种新的风险模型,整合基于基因表达的内在亚型,以改善乳腺癌预后.
- 提高乳腺癌患者化疗效益的预测.
主要方法:
- 使用微阵列和qRT-PCR数据开发了一个50基因亚型预测器.
- 761名患者的预后意义被评估,133名患者的化疗反应被评估.
主要成果:
- 内在亚型表现出显著的预后价值,独立于标准临床参数.
- 结合内在亚型和临床信息的综合预后模型显著提高了预测准确度.
- 内在亚型模型实现了对新辅助化疗病理完整反应的97%负预测值.
结论:
- 内在亚型诊断提供了重要的预后和预测信息,超出了乳腺癌的标准参数.
- 从内在亚型获得的连续风险评分对于管理节点阴性乳腺癌是有价值的.
- 本质亚型和风险评分有助于评估新辅助化学疗法疗效的可能性.
