Gene Expression Profiling for Thyroid Nodule Classification
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Solution Overview
Problem
Current diagnostic methods for thyroid cancer, such as fine needle aspiration biopsy (FNAB), face challenges in accurately distinguishing between malignant and benign thyroid nodules, leading to unnecessary surgeries and over-treatment due to indeterminate or suspicious cytological findings, and existing molecular analyses have not yielded effective clinical tools for improving diagnosis.
Innovation Solution
A system and method for expression-based classification of thyroid nodule disease using a nucleic acid array with probes specific to RNA transcripts, allowing for the determination of expression pattern profiles to differentiate between malignant and benign thyroid tissue by correlating the expression levels of specific transcripts with disease status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fine needle aspiration biopsy (FNAB) is used to diagnose thyroid nodules, then the procedure can differentiate malignant and benign nodules, but it leads to indeterminate or suspicious cytological findings that result in unnecessary surgeries and over-treatment
Solution Approach 1:
The patent introduces gene expression profiling as an intermediary diagnostic tool between FNAB cytology and surgical intervention. This molecular assay serves as a mediator that provides additional information about nodular tissue, helping to resolve indeterminate FNAB cases and reduce unnecessary surgeries while maintaining diagnostic accuracy
Solution Approach 2:
The patent changes the diagnostic parameter from cytological assessment alone to a combination of cytological and molecular parameters (gene expression profiles). By adding this new dimension of analysis, the system can better differentiate between benign and malignant nodules, reducing false positives that lead to unnecessary surgeries
2Measurement precision
If molecular analyses are performed on thyroid nodule samples, then the diagnosis accuracy can be improved, but the complexity of the diagnostic system increases
Solution Approach 1:
The patent segments the diagnostic process into distinct stages: initial FNAB cytology screening, followed by targeted gene expression profiling only for indeterminate cases. This segmentation allows molecular analysis to be applied selectively rather than universally, improving accuracy while managing system complexity through staged implementation
Solution Approach 2:
The patent develops a multi-functional diagnostic system where the same gene expression profiling platform can handle various thyroid nodule types and provide both diagnostic classification and prognostic information. This universal approach consolidates multiple diagnostic functions into a single platform, managing complexity through integration rather than proliferation of separate tools
3Reliability
If more aggressive clinical approaches are taken for suspicious nodules, then potential malignant cases can be caught early, but the morbidity from unnecessary total thyroidectomy increases
Solution Approach 1:
The patent performs preliminary molecular characterization of thyroid nodules before committing to aggressive surgical intervention. By obtaining gene expression profiles upfront, the system can pre-identify cases that are unlikely to be malignant, allowing clinicians to opt for less aggressive management strategies and avoid unnecessary thyroidectomies while maintaining confidence in cancer detection
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the accuracy of thyroid cancer diagnosis, reducing unnecessary surgeries and improving patient outcomes by providing a more reliable method to differentiate between malignant and benign thyroid nodules, even in cases previously classified as indeterminate by FNAB cytology.
Implementation Method 1
one or more polynucleotides, each of said polynucleotides capable of specifically hybridizing to a RNA transcript
Data Source
AI summary
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.