Thyroid Nodule Classification via Gene Expression Profiling
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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 provided reliable clinical tools for improving these diagnoses.
Innovation Solution
A system and method for expression-based classification of thyroid tissue using specific polynucleotides that hybridize to RNA transcripts of selected genes, including a nucleic acid array with probes immobilized on a solid support, to determine the expression pattern profiles of thyroid tissue samples, allowing for the differentiation between malignant and benign thyroid nodules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fine needle aspiration biopsy (FNAB) is used to diagnose thyroid nodules, then non-surgical differentiation between malignant and benign nodules is achieved, but diagnostic accuracy deteriorates for indeterminate or suspicious cases leading to unnecessary surgeries
Solution Approach 1:
The patent introduces molecular profiling as an intermediary diagnostic tool between FNAB cytology and surgical intervention. By analyzing gene expression patterns in thyroid nodule samples, the system provides an additional layer of information that helps resolve indeterminate cytological cases, enabling more accurate preoperative risk stratification and reducing unnecessary surgeries while maintaining non-surgical diagnostic capability
Solution Approach 2:
The diagnostic approach is segmented into multiple independent components: FNAB cytology analysis, molecular profiling using gene expression arrays, and integrated risk assessment. This segmentation allows each method to contribute its specific strengths while compensating for weaknesses, with molecular profiling specifically addressing the limitations of cytology alone in indeterminate cases
2Adaptability or versatility
If FNAB cytology classification is used, then thyroid nodules are categorized as benign, suspicious, or malignant, but measurement precision deteriorates leading to over-treatment of 75% of suspicious cases
Solution Approach 1:
The patent changes the diagnostic parameters from cytological morphology assessment to molecular gene expression profiling. By measuring expression levels of specific genes (such as TPO, TTF1, and other thyroid-specific markers) and calculating expression ratios, the system achieves more precise differentiation between malignant and benign nodules, transforming the diagnostic approach from binary categorization to continuous risk assessment
Solution Approach 2:
The patent replaces the mechanical/cytological inspection method with a molecular biology-based detection system. Instead of relying on visual identification of cellular features under a microscope, the system uses nucleic acid hybridization and expression analysis to detect molecular signatures of malignancy, providing higher measurement precision
3Reliability
If invasive surgery is performed for indeterminate FNAB results, then definitive diagnosis is obtained, but patient harm increases due to unnecessary thyroidectomies with significant morbidity
Solution Approach 1:
The patent implements a feedback mechanism where molecular profiling results are used to re-evaluate FNAB diagnoses. By providing additional molecular data that feeds back into the diagnostic decision-making process, the system enables more informed risk assessment and allows many indeterminate cases to be resolved without surgery, thereby reducing surgical morbidity while maintaining diagnostic reliability through the integrated approach
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
The proposed solution provides a more accurate classification of thyroid nodules as malignant or benign, reducing unnecessary surgeries and improving diagnostic accuracy by correlating expression pattern profiles with disease states, thereby enhancing patient outcomes and healthcare efficiency.
Implementation Method 1
one or more polynucleotides, each of said polynucleotides capable of specifically hybridizing to a RNA transcript of a gene
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.