基于遗传基因变异分析的生存预测
Survival prediction based on inherited gene variation analysis.
作者信息
Cicek Mine S, Maurer Matthew J, Goode Ellen L
机构信息
Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, USA.
出版信息
Methods Mol Biol. 2013;1049:53-64. doi: 10.1007/978-1-62703-547-7_5.
Abstract
There is a significant variation of outcome among ovarian cases. Clinical features such as age, stage, comorbidities, or degree of debulking are known prognostic factors for the disease. However, additional variation remains unexplained, some of which may be due to inherited factors. Here, we describe identification of survival-associated inherited variants in ovarian cancer that can enhance our current prognostic capabilities.
摘要
卵巢癌病例的预后存在显著差异。年龄、分期、合并症或减瘤程度等临床特征是该疾病已知的预后因素。然而，仍有一些额外的差异无法解释，其中一些可能归因于遗传因素。在此，我们描述了卵巢癌中与生存相关的遗传变异的鉴定，这些变异可以增强我们目前的预后评估能力。
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