Invention Grant
- Patent Title: Systems and methods for expression-based classification of thyroid tissue
- Patent Title (中): 甲状腺组织基于表达的分类系统和方法
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Application No.: US13258429Application Date: 2010-04-29
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Publication No.: US09206482B2Publication Date: 2015-12-08
- 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/CA2010/000621 WO 20100429
- International Announcement: WO2010/124372 WO 20101104
- Main IPC: C12Q1/68
- IPC: C12Q1/68 ; C07H21/04

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
- US20120172243A1 SYSTEMS AND METHODS FOR EXPRESSION-BASED CLASSIFICATION OF THYROID TISSUE Public/Granted day:2012-07-05
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