首页> 外国专利> GRADING MODEL FOR DETECTING BENIGN AND MALIGNANT DEGREES OF THYROID TUMORS, AND APPLICATION THEREOF

GRADING MODEL FOR DETECTING BENIGN AND MALIGNANT DEGREES OF THYROID TUMORS, AND APPLICATION THEREOF

机译:甲状腺肿瘤良恶程度的分级模型及其应用

摘要

A grading model and a device for detecting benign and malignant degrees of thyroid tumors, and application thereof. The model grades changes of imprinted genes in tumors by calculating the imprinted gene loss expression amount, the abnormal expression amount of imprinted gene copies, and the total expression amount of the imprinted genes, and displays the performance of loss of imprints in tissue and cell samples from patients having thyroid tumors. By means of a method for in situ labeling of imprinted genes, the changes in imprinted genes can be detected objectively, visually, early and accurately, and a quantitative model can be provided, thereby contributing to the diagnosis of thyroid tumors.
机译:一种检测甲状腺肿瘤良恶性的分级模型和装置及其应用。该模型通过计算印迹基因缺失表达量,印迹基因拷贝的异常表达量以及印迹基因的总表达量来对肿瘤中印迹基因的变化进行分级,并显示组织和细胞样品中印迹损失的表现。来自患有甲状腺肿瘤的患者。通过原位标记印迹基因的方法,可以客观,视觉,早期和准确地检测印迹基因的变化,并且可以提供定量模型,从而有助于甲状腺肿瘤的诊断。

著录项

  • 公开/公告号WO2020024911A1

    专利类型

  • 公开/公告日2020-02-06

    原文格式PDF

  • 申请/专利权人 LISEN IMPRINTING DIAGNOSTICS INC.;LI XING;

    申请/专利号WO2019CN98209

  • 发明设计人 CHENG TONG;ZHOU NING;

    申请日2019-07-29

  • 分类号C12Q1/6886;

  • 国家 WO

  • 入库时间 2022-08-21 11:13:38

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