公开(公告)号：US20110145176A1

公开(公告)日：2011-06-16

申请号：US12995450

申请日：2009-06-01

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

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

IPC: G06F15/18 ,  C12Q1/68

CPC classification number: C12Q1/6886 ,  C12Q2600/106 ,  C12Q2600/112 ,  C12Q2600/158 ,  G06F19/20 ,  G06F19/24

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US09631239B2

公开(公告)日：2017-04-25

申请号：US12995450

申请日：2009-06-01

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

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

IPC: G06G7/48 ,  C12Q1/68 ,  G06F19/20 ,  G06F19/24

CPC classification number: C12Q1/6886 ,  C12Q2600/106 ,  C12Q2600/112 ,  C12Q2600/158 ,  G06F19/20 ,  G06F19/24

Abstract: 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.