Invention Grant
- Patent Title: Compositions and methods for classifying thyroid nodule disease
- Patent Title (中): 用于分类甲状腺结节病的组合物和方法
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Application No.: US13254571Application Date: 2010-03-03
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Publication No.: US09074258B2Publication Date: 2015-07-07
- Inventor: Elai Davicioni , Sam Michael Wiseman
- Applicant: Elai Davicioni , Sam Michael Wiseman
- Applicant Address: CA Vancouver, British Columbia
- Assignee: GenomeDx Biosciences Inc.
- Current Assignee: GenomeDx Biosciences Inc.
- Current Assignee Address: CA Vancouver, British Columbia
- Agency: Wilson Sonsini Goodrich & Rosati
- International Application: PCT/CA2010/000266 WO 20100303
- International Announcement: WO2010/099598 WO 20100910
- Main IPC: C12Q1/68
- IPC: C12Q1/68 ; C40B60/12 ; C40B30/04

Abstract:
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.
Public/Granted literature
- US20120115743A1 COMPOSITIONS AND METHODS FOR CLASSIFYING THYROID NODULE DISEASE Public/Granted day:2012-05-10
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