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COMPOSITIONS AND METHODS FOR CLASSIFYING THYROID NODULE DISEASE

机译:甲状腺结节疾病分类的组合物和方法

摘要

A system for classifying thyroid nodule tissue as malignant or benign is provided that is based on the identification of sets of gene transcripts, which are characterized in that changes in expression of each gene transcript within a set of gene transcripts can be correlated to with either malignant or benign thyroid nodule disease. The thyroid classification system provides for sets of “thyroid classifying” target sequences and further provides for combinations of polynucleotide probes and primers derived there from. These combinations of polynucleotide probes can be provided in solution or as an array. The combination of probes and the arrays can be used for diagnosis. The invention further provides further methods of classifying thyroid nodule tissue.
机译:提供了一种基于对基因转录物组的鉴定的用于将甲状腺结节组织分类为恶性或良性的系统,其特征在于,一组基因转录物中的每个基因转录物的表达变化可以与任何一种恶性肿瘤相关联。或甲状腺良性结节病。甲状腺分类系统提供“甲状腺分类”靶序列的集合,并进一步提供多核苷酸探针和从其衍生的引物的组合。这些多核苷酸探针的组合可以溶液或阵列形式提供。探针和阵列的组合可用于诊断。本发明进一步提供了对甲状腺结节组织进行分类的其他方法。

著录项

  • 公开/公告号US2018112275A1

    专利类型

  • 公开/公告日2018-04-26

    原文格式PDF

  • 申请/专利权人 GENOMEDX BIOSCIENCES INC.;

    申请/专利号US201715626401

  • 发明设计人 ELAI DAVICIONI;SAM MICHAEL WISEMAN;

    申请日2017-06-19

  • 分类号C12Q1/6886;C40B60/12;

  • 国家 US

  • 入库时间 2022-08-21 13:04:10

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