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    • 7. 发明申请
    • ESTIMATION OF DELTA-CQ VALUES WITH CONFIDENCE FROM QPCR DATA
    • 从QPCR数据的信心估计DELTA-CQ值
    • WO2011157501A1
    • 2011-12-22
    • PCT/EP2011/057863
    • 2011-05-16
    • SIEMENS HEALTHCARE DIAGNOSTICS INC.WEBER, KarstenFEDER, Inke Sabine
    • WEBER, KarstenFEDER, Inke Sabine
    • G06F19/20
    • G06F19/24C12Q1/6851G06F19/20C12Q2537/165
    • The invention describes how to estimate delta-Cq values from measured (raw-) Cq values gained from PCR measurements and how to calculate confidence intervals for them. This is realized by the following processing steps: A noise model, which might be constructed on some training PCR data, calculates the distribution of the true target material concentration of a single well for an observed measurement results. Said distribution is calculated for all types of measurement results including "Numeric" raw-Cq values as well as Cq being "Undetected", which denotes that no fluorescence signal was detected during all cycles and thus corresponds to no or very few target molecules. Based on this distribution information from several replicate wells of a gene of interest and several replicate wells of one or more reference genes the distribution of the true delta-Cq value is calculated. In order to come out with a finite variance of the delta-Cq value (which so far would not be the case if all replicates are "Undetected") a lower bound is defined on the delta-Cq value. This lower bound is chosen so small that no useful information about the clinical implications is lost but so large that even for samples with low total material yield a reliable estimation of the delta-Cq value is possible.
    • 本发明描述了如何从从PCR测量获得的测量(原始)Cq值估计Δ-Cq值,以及如何计算它们的置信区间。 这通过以下处理步骤来实现:可以在一些训练PCR数据上构建的噪声模型计算观察测量结果的单井真实目标物质浓度的分布。 对于包括“数字”原始Cq值以及Cq为“未检测到”的所有类型的测量结果计算所述分布,其表示在所有循环期间没有检测到荧光信号,因此对应于没有或非常少的目标分子。 基于来自目的基因的几个重复孔的分布信息和一个或多个参考基因的几个重复孔,计算真实Δ-Cq值的分布。 为了出现delta-Cq值的有限方差(到目前为止,如果所有重复都是“未检测到”),则下限是在delta-Cq值上定义的。 这个下限被选择得如此之小,以致没有关于临床意义的有用信息丢失但是如此之大,即使对于具有低总材料产量的样品也可能对delta-Cq值的可靠估计是可能的。
    • 8. 发明申请
    • METHOD FOR PREDICTING THE RESPONSE AND SURVIVAL FROM CHEMOTHERAPY IN PATIENTS WITH BREAST CANCER
    • 在乳腺癌患者中预防化疗反应和存活的方法
    • WO2015121300A1
    • 2015-08-20
    • PCT/EP2015/052869
    • 2015-02-11
    • SIVIDON DIAGNOSTICS GMBH
    • BRASE, Jan ChristophSCHMIDT, MarcusKRONENWETT, RalfFISCH, KarinWEBER, Karsten
    • C12Q1/68
    • C12Q1/6886C12Q2600/106C12Q2600/112C12Q2600/118C12Q2600/158
    • A method for predicting the residual risk of recurrence after standard chemotherapy treatment, in particular a taxane-free chemotherapy, and the benefit from inclusion of taxane in a chemotherapy regimen in a patient suffering from or at risk of developing recurrent neoplastic disease, in particular breast cancer. Said method comprises the steps of: (a) determining in a tumor sample from said patient the expression levels of the following 6 genes: UBE2C, KIF20A, PTGER3, OSBPL1A, CYP27A1, IGKC, and (b) mathematically combining said expression level values for the genes of the said set which values were determined in the tumor sample to yield a prognostic combined score and (c) comparing said prognostic combined score to one or more thresholds and classifying said patient in a good, intermediate or poor outcome group and (d) determining in said tumor sample from said patient the expression levels of three genes: STC1, PCSK6, S100P, and (e) mathematically combining said expression level values for STC1, PCSK6 and S100P to yield a predictive combined score, whereas a high predictive combined score generally indicates an increased likelihood of benefit from inclusion of taxane in a chemotherapy regimen in a patient classified to said poor and/or intermediate outcome group.
    • 一种用于预测标准化学治疗后特别是无紫杉烷化疗的复发的残留风险的方法,以及在发生复发性肿瘤性疾病,特别是乳腺癌的患者的化疗方案中纳入紫杉烷的益处 癌症。 所述方法包括以下步骤:(a)在来自所述患者的肿瘤样品中确定以下6个基因的表达水平:UBE2C,KIF20A,PTGER3,OSBPL1A,CYP27A1,IGKC,和(b)将所述表达水平值 所述组的基因在肿瘤样品中测定值以产生预后组合评分,和(c)将所述预后组合评分与一个或多个阈值进行比较,并将所述患者在良好,中间或不良结果组中进行分类,和(d )在所述患者的所述肿瘤样品中确定三种基因的表达水平:STC1,PCSK6,S100P和(e)在数学上组合STC1,PCSK6和S100P的所述表达水平值以产生预测性组合评分,而高预测性组合 评分通常表明在分类为所述贫困和/或中间结果组的患者中,在化疗方案中纳入紫杉烷的益处的可能性增加。
    • 10. 发明公开
    • METHOD FOR PREDICTING THE RESPONSE TO CHEMOTHERAPY IN A PATIENT SUFFERING FROM OR AT RISK OF DEVELOPING RECURRENT BREAST CANCER
    • 一种用于预测对化疗的反应患者的乳房或类似的复发风险
    • EP2737081A1
    • 2014-06-04
    • EP12740974.6
    • 2012-07-30
    • Sividon Diagnostics GmbH
    • GEHRMANN, MathiasWEBER, KarstenKRONENWETT, RalfPETRY, ChristophBRASE, Jan
    • C12Q1/68
    • C12Q1/6886C12Q1/6809C12Q2600/106C12Q2600/118C12Q2600/158C12Q2600/178
    • A method for predicting a response to and/or benefit of chemotherapy, including neoadjuvant chemotherapy, in a patient suffering from or at risk of developing recurrent neoplastic disease, in particular breast cancer, said method comprising the steps of: (a) determining in a tumor sample from said patient the RNA expression levels of the following 8 genes: UBE2C, RACGAP1, DHCR7, STC2, AZGP1, RBBP8, IL6ST, and MGP, indicative of a response to chemotherapy for a tumor, or (b) determining in a tumor sample from said patient the RNA expression levels of the following 8 genes: UBE2C, BIRC5, DHCR7, STC2, AZGP1, RBBP8, IL6ST, and MGP; indicative of a response to chemotherapy for a tumor (c) mathematically combining expression level values for the genes of the said set which values were determined in the tumor sample to yield a combined score, wherein said combined score is predicting said response and/or benefit of chemotherapy.
    • 一种用于预测到的响应和/或化疗的益处,包括在从或有发展复发性肿瘤疾病的风险的患者新辅助化疗,特别是乳腺癌的方法,所述方法包括的步骤:(a)确定的开采于 来自所述患者的肿瘤样品下列8个基因的RNA表达水平:UBE2C,RACGAP1,DHCR7,STC 2,AZGP1,RBBP8,IL6ST,和MGP,指示在肿瘤对化疗的响应针对肿瘤,或(b)确定的挖掘 所述样品从病人下列8个基因的RNA表达水平:UBE2C,BIRC5,DHCR7,STC 2,AZGP1,RBBP8,IL6ST,和MGP; 指示对化疗的响应针对肿瘤(C)在数学上用于所述组的基因,其值确定肿瘤样品中开采,以产生组合分值组合的表达水平的值,worin所述组合分值被预测所述响应和/或有益的 化疗。