首页> 外国专利> ALGORITHIMS FOR MULTIVARIANT MODELS TO COMBINE A PANEL OF BIOMARKERS FOR ASSESSING THE RISK OF DEVELOPING OVARIAN CANCER

ALGORITHIMS FOR MULTIVARIANT MODELS TO COMBINE A PANEL OF BIOMARKERS FOR ASSESSING THE RISK OF DEVELOPING OVARIAN CANCER

机译:多种模型组合的生物标志物算法,用于评估卵巢癌的发展风险

摘要

The present invention provides methods for assessing a patient's risk of having and/or developing ovarian cancer. Also, methods for evaluating the ovarian cancer state of a patient are described herein. These methods involve the detection, analysis, and classification of biological patterns in biological samples. The biological patterns are obtained using, for example, mass spectrometry systems and other techniques. The present invention also includes therapeutic and prophylactic agents that target the biomarkers described herein. Also, the present invention provides methods for the treatment of ovarian cancer using the markers described herein or agents that mimic the properties of these markers.
机译:本发明提供了用于评估患者患有和/或发展卵巢癌的风险的方法。另外,本文描述了用于评估患者的卵巢癌状态的方法。这些方法涉及生物样品中生物模式的检测,分析和分类。使用例如质谱系统和其他技术获得生物学模式。本发明还包括靶向本文所述生物标志物的治疗剂和预防剂。同样,本发明提供了使用本文所述的标志物或模拟这些标志物的性质的试剂来治疗卵巢癌的方法。

著录项

  • 公开/公告号WO2008060376A3

    专利类型

  • 公开/公告日2008-11-20

    原文格式PDF

  • 申请/专利权人 THE JOHNS HOPKINS UNIVERSITY;ZHANG ZHEN;

    申请/专利号WO2007US21483

  • 发明设计人 ZHANG ZHEN;

    申请日2007-10-04

  • 分类号G01N33/574;

  • 国家 WO

  • 入库时间 2022-08-21 19:21:42

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