首页> 外国专利> Obtaining spectral images for the measurement of nuclear pathological characteristics in cancer cells prepared for in situ analysis

Obtaining spectral images for the measurement of nuclear pathological characteristics in cancer cells prepared for in situ analysis

机译:获取光谱图像以测量准备进行原位分析的癌细胞的核病理特征

摘要

Diagnostic method of multivariate cancer, the method comprising: a. obtain molecular marker data from a single sample of a subject comprising a single cell or population of cells from a tissue, in which the molecular marker is a genetic reorganization, b. obtain quantitative data of the cell morphology of the same individual cell or population of cells used in step (a), in which the data of markers of the cell morphology are the nuclear size, the nuclear form and the DNA content, c . carrying out a multivariable analysis of said single sample to generate a multivariable analysis data set comprising quantitative data of cell morphology markers of stage (b) and molecular marker data of stage (a), d. compare the multivariable analysis data obtained in step (c) with a reference multivariable analysis data set created by obtaining both molecular marker data and quantitative cellular morphology data from cancer and non-cancer cell samples obtained from individuals with a known clinical outcome, in which the molecular marker is a genetic reorganization and the data of cell morphology markers are nuclear size, nuclear form and DNA content, and e. predict a clinical outcome defined by specific combinations of cellular morphology marker data and molecular marker data statistically associated with the progression, incidence and metastasis of cancer or other clinical outcome determinant observed in the multivariable baseline analysis data set.
机译:多元癌的诊断方法,该方法包括:a。从受试者的单个样品中获得分子标记数据,该样品包括来自组织的单个细胞或细胞群体,其中分子标记是遗传重组,b。获得在步骤(a)中使用的相同单个细胞或细胞群的细胞形态的定量数据,其中细胞形态的标志物的数据为核大小,核形式和DNA含量,c。对所述单个样品进行多变量分析以产生多变量分析数据集,所述多变量分析数据集包括阶段(b)的细胞形态标志物和阶段(a)的分子标志物数据的定量数据。将步骤(c)中获得的多变量分析数据与参考多变量分析数据集进行比较,该数据集是通过从具有已知临床结果的个体获得的癌症和非癌细胞样品中获得分子标记数据和定量细胞形态学数据而创建的,其中分子标记是一种基因重组,细胞形态标记的数据是核大小,核形式和DNA含量,以及e。预测由细胞形态标志物数据和分子标志物数据的特定组合定义的临床结果,该组合与在多变量基线分析数据集中观察到的癌症或其他临床结果决定因素的进展,发生率和转移统计相关。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号