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Class distinction between follicular adenomas and follicular carcinomas of the thyroid gland on the basis of their signature expression
BACKGROUND Nodules of the thyroid gland are observed frequently in patients who undergo ultrasound studies. The majority of these nodules are benign, corresponding to goiters or adenomas, and only a small fraction corresponds to carcinomas. Among thyroid tumors, the diagnosis of follicular adenocarc...
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Published in: | Cancer 2006-05, Vol.106 (9), p.1891-1900 |
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Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | BACKGROUND
Nodules of the thyroid gland are observed frequently in patients who undergo ultrasound studies. The majority of these nodules are benign, corresponding to goiters or adenomas, and only a small fraction corresponds to carcinomas. Among thyroid tumors, the diagnosis of follicular adenocarcinomas by preoperative fine‐needle aspiration biopsy is a major challenge, because it requires inspection of the entire capsule to differentiate it from adenoma. Consequently, large numbers of patients undergo unnecessary thyroidectomy.
METHODS
Using data from gene expression analysis, the authors applied Fisher linear discriminant analysis and searched for expression signatures of individual samples of adenomas and follicular carcinomas that could be used as molecular classifiers for the precise classification of malignant and nonmalignant lesions.
RESULTS
Fourteen trios of genes were described that fulfilled the criteria for the correct classification of 100% of samples. The robustness of these trios was verified by using leave‐1‐out cross‐validation and bootstrap analyses. The results demonstrated that, by combining trios, better classifiers could be generated that correctly classified >92% of samples.
CONCLUSIONS
The strategy of classifiers based on individual signatures was a useful strategy for distinguishing between samples with very similar expression profiles. Cancer 2006. © 2006 American Cancer Society.
The authors used data from gene expression analysis to search for expression signatures of individual samples of adenomas and follicular carcinomas that could be used as molecular classifiers for the precise classification of malignant and nonmalignant lesions. The results indicated that these classifiers may have value as diagnostic tools in fine‐needle aspiration biopsy samples and, ultimately, may help to reduce the numbers of patients who undergo unnecessary thyroidectomy. |
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ISSN: | 0008-543X 1097-0142 |
DOI: | 10.1002/cncr.21826 |