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    GENE EXPRESSION PROFILES TO PREDICT BREAST CANCER OUTCOMES
    11.
    发明申请
    GENE EXPRESSION PROFILES TO PREDICT BREAST CANCER OUTCOMES 有权
    基因表达谱预测乳腺癌的结果

    公开(公告)号：US20110145176A1

    公开(公告)日：2011-06-16

    申请号：US12995450

    申请日：2009-06-01

    申请人： Charles M. Perou ,  Joel S. Parker ,  James Stephen Marron ,  Andrew Nobel ,  Philip S. Bernard ,  Matthew Ellis ,  Elaine Mardis ,  Torsten O. Nielsen ,  Maggie Cheang

    发明人： Charles M. Perou ,  Joel S. Parker ,  James Stephen Marron ,  Andrew Nobel ,  Philip S. Bernard ,  Matthew Ellis ,  Elaine Mardis ,  Torsten O. Nielsen ,  Maggie Cheang

    IPC分类号： G06F15/18 ,  C12Q1/68

    CPC分类号： C12Q1/6886 ,  C12Q2600/106 ,  C12Q2600/112 ,  C12Q2600/158 ,  G06F19/20 ,  G06F19/24

    摘要： Methods for classifying and for evaluating the prognosis of a subject having breast cancer are provided. The methods include prediction of breast cancer subtype using a supervised algorithm trained to stratify subjects on the basis of breast cancer intrinsic subtype. The prediction model is based on the gene expression profile of the intrinsic genes listed in Table 1. This prediction model can be used to accurately predict the intrinsic subtype of a subject diagnosed with or suspected of having breast cancer. Further provided are compositions and methods for predicting outcome or response to therapy of a subject diagnosed with or suspected of having breast cancer. These methods are useful for guiding or determining treatment options for a subject afflicted with breast cancer. Methods of the invention further include means for evaluating gene expression profiles, including microarrays and quantitative polymerase chain reaction assays, as well as kits comprising reagents for practicing the methods of the invention.

    摘要翻译： 提供了分类和评估患有乳腺癌的受试者的预后的方法。 这些方法包括使用训练为基于乳腺癌内在亚型分层受试者的监督算法来预测乳腺癌亚型。 该预测模型基于表1中列出的内在基因的基因表达谱。该预测模型可用于准确预测诊断患有或怀疑患有乳腺癌的受试者的内在亚型。 还提供了用于预测诊断患有或疑似患有乳腺癌的受试者的治疗结果或反应的组合物和方法。 这些方法可用于指导或确定患有乳腺癌的受试者的治疗方案。 本发明的方法还包括用于评价基因表达谱（包括微阵列和定量聚合酶链反应测定）的方法，以及包含用于实施本发明方法的试剂的试剂盒。

    METHODS FOR EVALUATING BREAST CANCER PROGNOSIS
    12.
    发明申请
    METHODS FOR EVALUATING BREAST CANCER PROGNOSIS 审中-公开
    评估乳腺癌预后的方法

    公开(公告)号：US20100221722A1

    公开(公告)日：2010-09-02

    申请号：US12664869

    申请日：2008-06-13

    申请人： Charles M. Perou ,  Zhiyuan Hu

    发明人： Charles M. Perou ,  Zhiyuan Hu

    IPC分类号： C12Q1/68 ,  C12Q1/02

    CPC分类号： C12Q1/6886 ,  C12Q2600/106 ,  C12Q2600/118 ,  C12Q2600/158 ,  G01N33/57415 ,  G01N2800/52

    摘要： Methods for diagnosing and for evaluating the prognosis of a cancer patient, particularly a breast cancer patient, are provided. The methods include determining expression levels of at least five biomarkers in a body sample including a cancer cell from the patient, where expression levels of the biomarkers are indicative of cancer prognosis. Overexpression of the biomarkers of the invention is indicative of a poor prognosis. In some embodiments, the body sample is a breast tissue sample, particularly a primary breast tumor sample. The methods of the invention can be used in combination with assessment of conventional clinical factors and permit a more accurate evaluation of breast cancer prognosis.

    摘要翻译： 提供了用于诊断和评价癌症患者，特别是乳腺癌患者的预后的方法。 所述方法包括确定体内样品中至少5个生物标志物的表达水平，包括来自患者的癌细胞，其中生物标志物的表达水平指示癌症预后。 本发明的生物标志物的过度表达预示不良预后。 在一些实施方案中，身体样品是乳房组织样品，特别是原发性乳腺肿瘤样品。 本发明的方法可以与常规临床因素的评估结合使用，并能更准确地评估乳腺癌预后。