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    Biological patterns for diagnosis and treatment of cancer
    3.
    发明申请
    Biological patterns for diagnosis and treatment of cancer 审中-公开
    用于诊断和治疗癌症的生物学模式

    公开(公告)号：US20070009970A1

    公开(公告)日：2007-01-11

    申请号：US11178245

    申请日：2005-07-08

    申请人： Jonathan Heller ,  Michael Brown ,  David de Valpine ,  Hans Bitter ,  Kathy Stults ,  Isabelle Guyon ,  Robert Tibshirani

    发明人： Jonathan Heller ,  Michael Brown ,  David de Valpine ,  Hans Bitter ,  Kathy Stults ,  Isabelle Guyon ,  Robert Tibshirani

    IPC分类号： G01N33/574 ,  G06F19/00

    CPC分类号： G01N33/57434 ,  G01N33/6848

    摘要： The present invention provides methods for diagnosing cancers, such as prostate cancer. Also, methods for evaluating the prostate 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, antibody based techniques, or nucleic acid based 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 prostate cancer using the markers described herein or agents that mimic the properties of these markers.

    摘要翻译： 本发明提供了诊断癌症的方法，例如前列腺癌。 此外，本文描述了用于评估患者的前列腺癌状态的方法。 这些方法涉及生物样品中生物样本的检测，分析和分类。 使用例如质谱系统，基于抗体的技术或基于核酸的技术获得生物学模式。 本发明还包括靶向本文所述的生物标志物的治疗和预防剂。 此外，本发明提供了使用本文所述的标记物治疗前列腺癌的方法或模拟这些标记的性质的试剂。

    ASSAYS, METHODS AND KITS FOR MEASURING RESPONSE TO THERAPY AND PREDICTING CLINICAL OUTCOME IN PATIENTS WITH B-CELL LYMPHOMA
    5.
    发明申请
    ASSAYS, METHODS AND KITS FOR MEASURING RESPONSE TO THERAPY AND PREDICTING CLINICAL OUTCOME IN PATIENTS WITH B-CELL LYMPHOMA 审中-公开
    用于测量治疗反应的方法和试剂盒，并预测患有B细胞淋巴瘤的患者的临床观察结果

    公开(公告)号：US20110201008A1

    公开(公告)日：2011-08-18

    申请号：US12957600

    申请日：2010-12-01

    申请人： Izidore Lossos ,  Alvero Alencar ,  Raquel Malumbres ,  Robert Tibshirani

    发明人： Izidore Lossos ,  Alvero Alencar ,  Raquel Malumbres ,  Robert Tibshirani

    IPC分类号： C12Q1/68

    CPC分类号： C12Q1/6886 ,  C12Q2600/106 ,  C12Q2600/118 ,  C12Q2600/178

    摘要： Assays, methods and kits for predicting survival outcome in a subject having diffuse large B-cell lymphoma (DLBCL) and for measuring a subject's response to DLBCL therapy involve specific miRNAs that are prognostic biomarkers for prediction of outcome of DLBCL patients. Expression of miRNAs miR-18a, miR-181a and miR-222 is associated with response to therapy and outcome of patients with DLBCL. Measurement of these miRs can be used to identify patients' outcomes in the clinic and allow tailoring of patient-specific therapy.

    摘要翻译： 用于预测具有弥漫性大B细胞淋巴瘤（DLBCL）的受试者的生存结果和用于测量受试者对DLBCL治疗的反应的测定法，方法和试剂盒涉及用于预测DLBCL患者预后的预后生物标志物的特异性miRNA。 miRNAs miR-18a，miR-181a和miR-222的表达与DLBCL患者的治疗和结果的反应有关。 这些miR的测量可用于鉴定患者在临床中的结果，并允许定制患者特异性治疗。

    Significance analysis of microarrays
    6.
    发明授权
    Significance analysis of microarrays 失效
    微阵列的意义分析

    公开(公告)号：US07363165B2

    公开(公告)日：2008-04-22

    申请号：US09811762

    申请日：2001-03-19

    申请人： Virginia Goss Tusher ,  Robert Tibshirani ,  Gilbert Chu

    发明人： Virginia Goss Tusher ,  Robert Tibshirani ,  Gilbert Chu

    IPC分类号： G06F19/00 ,  C12Q1/68

    CPC分类号： G06F19/20 ,  C12Q2600/158

    摘要： Microarrays can measure the expression of thousands of genes and thus identify changes in expression between different biological states. Methods are needed to determine the significance of these changes, while accounting for the enormous number of genes. We describe a new method, Significance Analysis of Microarrays (SAM), that assigns a score to each gene based on the change in gene expression relative to the standard deviation of repeated measurements. For genes with scores greater than an adjustable threshold, SAM uses permutations of the repeated measurements to estimate the percentage of such genes identified by chance, the false discovery rate (FDR). When the transcriptional response of human cells to ionizing radiation was measured by microarrays, SAM identified 34 genes that changed at least 1.5-fold with an estimated FDR of 12%, compared to FDRs of 60% and 84% using conventional methods of analysis. Of the 34 genes, 19 were involved in cell cycle regulation, and 3 in apoptosis. Surprisingly, 4 nucleotide excision repair genes were induced, suggesting that this repair pathway for UV-damaged DNA might play a heretofore unrecognized role in repairing DNA damaged by ionizing radiation.

    摘要翻译： 微阵列可以测量数千个基因的表达，从而识别不同生物状态之间的表达变化。 需要方法来确定这些变化的重要性，同时占据了大量的基因。 我们描述了一种基于相对于重复测量的标准偏差的基因表达变化为每个基因分配分数的微阵列（SAM）的新方法。 对于分数大于可调阈值的基因，SAM使用重复测量的排列来估计偶然识别的这些基因的百分比，即错误发现率（FDR）。 当通过微阵列测量人类细胞对电离辐射的转录反应时，SAM使用常规分析方法鉴定了34个基因，其变化至少1.5倍，估计FDR为12％，而FDR为60％和84％。 在34个基因中，19个参与细胞周期调控，3个在凋亡中。 令人惊讶的是，诱导了4个核苷酸切除修复基因，表明这种UV损伤的DNA的修复途径可能在修复被电离辐射损伤的DNA中未被认识到的作用。