首页> 外国专利> METHOD FOR THE MULTIDIMENSIONAL DETECTION OF ABERRANT PHENOTYPES IN NEOPLASTIC CELLS TO BE USED TO MONITOR MINIMAL DISEASE LEVELS USING FLOW CYTOMETRY

METHOD FOR THE MULTIDIMENSIONAL DETECTION OF ABERRANT PHENOTYPES IN NEOPLASTIC CELLS TO BE USED TO MONITOR MINIMAL DISEASE LEVELS USING FLOW CYTOMETRY

机译:流式细胞术用于多维监测微小疾病水平的新生细胞异常表型的多维检测方法

摘要

A new method for detecting aberrant phenotypes expressed by neoplastic cells present in bone marrow, peripheral blood, spinal fluid and lymph nodes, comprising the steps of: 1) separately staining one or more normal/reactive samples and one neoplastic sample with identical or partially overlapping, multiple combinations of monoclonal antibodies, 2) sequentially measuring the fluorescence emissions associated to large numbers of cells stained with the monoclonal antibodies from the normal/reactive samples and the neoplastic sample, 3) storing two independent list mode data files each containing information on the specific light scatter and fluorescence characteristics of each cell analyzed, 4) creating new data files by mixing list mode data from the data file containing information about the cells present in the neoplastic sample into the data file containing information on the cells present in the normal samples, 5) defining those areas occupied by events corresponding to normal cells and those areas corresponding to empty spaces in normal/reactive samples and that may be occupied by tumor cells in neoplastic samples, 6) sequentially identifying those events corresponding to neoplastic cells and those events corresponding to normal cells coexisting in a multidimensional space, and 7) establishing the most relevant phenotypic aberrations displayed by the neoplastic cells as compared to their normal counterpart.
机译:一种检测存在于骨髓,外周血,脊髓液和淋巴结中的赘生性细胞表达的异常表型的新方法,包括以下步骤:1)分别对一个或多个正常/反应性样品和一个赘生性样品进行相同或部分重叠的染色,单克隆抗体的多种组合; 2)从正常/反应性样品和赘生性样品中依次测量与被单克隆抗体染色的大量细胞相关的荧光发射; 3)存储两个独立的列表模式数据文件,每个文件均包含有关分析每个细胞的特定光散射和荧光特性,4)通过将列表文件中的数据与包含肿瘤样品中存在的细胞信息的数据文件混合到包含正常样品中存在的细胞信息的数据文件中,从而创建新的数据文件,5)定义与普通单元格对应的事件所占据的区域以及对应于正常/反应性样品中空白区域的区域,以及可能被肿瘤样品中的肿瘤细胞占据的区域; 6)依次识别对应于肿瘤细胞的那些事件和对应于多维空间中共存的正常细胞的那些事件,以及7)建立与肿瘤对应细胞相比,肿瘤细胞显示的最相关的表型像差。

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