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Gene expression profiling of differentiated thyroid neoplasms: diagnostic and clinical implications
Sylvie Chevillard1, Nicolas Ugolin, Philippe Vielh
1Laboratoire de Cancérologie Expérimentale, Commissariat á L'Energie Atomique, Direction des Sciences du Vivant, Département du Radiobiologie et Radiopathologie, Fontenay-aux-Roses, France.
Summary
This study identified 155 genes that distinguish normal thyroid tissue from thyroid tumors. These novel gene markers can aid in diagnosing and classifying differentiated thyroid neoplasms.
Area of Science:
- Molecular Biology
- Genomics
- Oncology
Background:
- Differentiated thyroid tumors require accurate diagnostic and clinical markers.
- Gene expression profiling offers a promising avenue for identifying such markers.
Purpose of the Study:
- To identify novel genes for diagnostic and clinical markers of differentiated thyroid tumors.
- To differentiate between various types of thyroid neoplasms based on gene expression profiles.
Main Methods:
- Gene expression analysis using microarray technology on normal thyroid samples and thyroid neoplasms.
- Hybridization with probes for 5,760 human full-length cDNAs.
- Quantitative real-time reverse transcription-PCR for verification of differentially expressed genes.
Main Results:
- Identified 155 genes differentiating normal thyroid tissue from benign and malignant neoplasms.
- Differentiated 75 genes between follicular neoplasms and the follicular variant of papillary carcinoma.
- Hierarchical cluster analysis distinguished conventional papillary carcinoma from its follicular variant and follicular tumors.
Conclusions:
- Gene expression differences between normal and tumor thyroid tissue are identifiable.
- A specific set of genes can differentiate follicular neoplasms from the follicular variant of papillary carcinoma.
- Gene expression profiling can distinguish conventional papillary carcinoma from its follicular variant.