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    • 2. 发明申请
    • DIAGNOSTIC TEST FOR PREDICTING METASTASIS AND RECURRENCE IN CUTANEOUS MELANOMA
    • 用于预测梅毒中的转移和复发的诊断测试
    • US20140272986A1
    • 2014-09-18
    • US14193378
    • 2014-02-28
    • Castle Biosciences, Inc.
    • Robert Willis COOKDerek MAETZOLDKristen OESCHLAGER
    • C12Q1/68
    • C12Q1/6886C12Q2600/118C12Q2600/158
    • The invention as disclosed herein in encompasses a method for predicting the risk of metastasis of a primary cutaneous melanoma tumor, the method encompassing measuring the gene-expression levels of at least eight genes selected from a specific gene set in a sample taken from the primary cutaneous melanoma tumor; determining a gene-expression profile signature from the gene expression levels of the at least eight genes; comparing the gene-expression profile to the gene-expression profile of a predictive training set; and providing an indication as to whether the primary cutaneous melanoma tumor is a certain class of metastasis or treatment risk when the gene expression profile indicates that expression levels of at least eight genes are altered in a predictive manner as compared to the gene expression profile of the predictive training set.
    • 本文公开的本发明包括用于预测原发性皮肤黑素瘤肿瘤转移风险的方法,所述方法包括测量至少8种基因的基因表达水平,所述基因选自样品中的特定基因,其取自初级皮肤 黑素瘤肿瘤; 从所述至少8个基因的基因表达水平确定基因表达谱特征; 将基因表达谱与预测训练集的基因表达谱比较; 并且当基因表达谱表明与基因表达谱相比,至少8种基因的表达水平以预测方式改变时,提供关于初级皮肤黑素瘤肿瘤是否是一定类型的转移或治疗风险的指征 预测训练集。
    • 3. 发明申请
    • DIAGNOSTIC TEST FOR PREDICTING METASTASIS AND RECURRENCE IN CUTANEOUS MELANOMA
    • 用于预测梅毒中的转移和复发的诊断测试
    • US20160273052A1
    • 2016-09-22
    • US15075133
    • 2016-03-19
    • Castle Biosciences, Inc.
    • Robert Willis COOKDerek MAETZOLDKristen OESCHLAGER
    • C12Q1/68
    • The invention as disclosed herein in encompasses a method for predicting the risk of metastasis of a primary cutaneous melanoma tumor, the method encompassing measuring the gene-expression levels of at least eight genes selected from a specific gene set in a sample taken from the primary cutaneous melanoma tumor; determining a gene-expression profile signature from the gene expression levels of the at least eight genes; comparing the gene-expression profile to the gene-expression profile of a predictive training set; and providing an indication as to whether the primary cutaneous melanoma tumor is a certain class of metastasis or treatment risk when the gene expression profile indicates that expression levels of at least eight genes are altered in a predictive manner as compared to the gene expression profile of the predictive training set.
    • 本文公开的本发明包括用于预测原发性皮肤黑素瘤肿瘤转移风险的方法,所述方法包括测量至少8种基因的基因表达水平,所述基因选自样品中的特定基因,其取自初级皮肤 黑素瘤肿瘤; 从所述至少8个基因的基因表达水平确定基因表达谱特征; 将基因表达谱与预测训练集的基因表达谱比较; 并且当基因表达谱表明与基因表达谱相比,至少8种基因的表达水平以预测方式改变时,提供关于初级皮肤黑素瘤肿瘤是否是一定类型的转移或治疗风险的指征 预测训练集。
    • 4. 发明申请
    • METHODS FOR PREDICTING RISK OF METASTASIS IN CUTANEOUS MELANOMA
    • 用于预测US US OF OF TING TING。。。。。。。。。。。。。。。。。。。。。。
    • US20140271545A1
    • 2014-09-18
    • US14193355
    • 2014-02-28
    • Castle Biosciences, Inc.
    • Robert Willis COOKDerek MAETZOLDKristen OESCHLAGER
    • C12Q1/68
    • C12Q1/6886C12Q2600/118C12Q2600/158
    • The invention as disclosed herein in encompasses a method for predicting the risk of metastasis of a primary cutaneous melanoma tumor, the method encompassing measuring the gene-expression levels of at least eight genes selected from a specific gene set in a sample taken from the primary cutaneous melanoma tumor; determining a gene-expression profile signature from the gene expression levels of the at least eight genes; comparing the gene-expression profile to the gene-expression profile of a predictive training set; and providing an indication as to whether the primary cutaneous melanoma tumor is a certain class of metastasis or treatment risk when the gene expression profile indicates that expression levels of at least eight genes are altered in a predictive manner as compared to the gene expression profile of the predictive training set.
    • 本文公开的本发明包括用于预测原发性皮肤黑素瘤肿瘤转移风险的方法,所述方法包括测量至少8种基因的基因表达水平,所述基因选自样品中的特定基因,其取自初级皮肤 黑素瘤肿瘤; 从所述至少8个基因的基因表达水平确定基因表达谱特征; 将基因表达谱与预测训练集的基因表达谱比较; 并且当基因表达谱表明与基因表达谱相比,至少8种基因的表达水平以预测方式改变时,提供关于初级皮肤黑素瘤肿瘤是否是一定类型的转移或治疗风险的指征 预测训练集。