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METHODS OF PREDICTING HIGH GRADE GLIOMAS USING SENESCENCE ASSOCIATED GENES

机译:基于敏感性关联基因的高等胶质瘤预测方法

摘要

The present invention relates to biomarkers for neoplasias such as high grade gliomas. The inventors have discovered that the overexpression of senescence associated genes (SAG) is associated with a poor prognosis in subjects with high grade gliomas. The present invention provides SAG biomarkers for predicting response to therapy for subjects having high grade glioma based on dividing the samples into high and low risk groups; diagnosing high grade glioma; monitoring progression of high grade glioma from one biological state to another; and determining efficacy of treatment for high grade gliomas.
机译:本发明涉及用于瘤形成例如高级神经胶质瘤的生物标记。发明人已经发现,衰老相关基因(SAG)的过表达与高级别神经胶质瘤患者的不良预后有关。本发明提供了SAG生物标志物,其基于将样品分为高和低风险组来预测对患有高级别神经胶质瘤的受试者的治疗反应。诊断高级别神经胶质瘤;监测高级神经胶质瘤从一种生物学状态向另一种生物学状态的进展;并确定治疗高级别神经胶质瘤的疗效。

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