Evaluation of Gene Expression Profiles in Thyroid Nodule Biopsy Material to Diagnose Thyroid Cancer

@article{citeulike:2697222, abstract = {Context: Detection of thyroid cancer among benign nodules on fine-needle aspiration biopsies (FNAB), which presently relies on cytological examination, is expected to be improved by new diagnostic tests set up from genomic data. Objective: The aim of the study was to use a set of genes discriminating benign from malignant tumors, on the basis of their expression levels, to build tumor classifiers and evaluate their capacity to predict malignancy on FNAB. Design: We analyzed the level of expression of 200 potentially informative genes in 56 thyroid tissue samples (benign or malignant tumors and paired normal tissue) using nylon macroarrays. Gene expression data were subjected to a weighted voting algorithm to generate tumor classifiers. The performances of the classifiers were evaluated on a series of 26 sham FNAB, i.e. FNAB carried out on thyroid nodules after surgical resection. Results: A series of 19 genes with a similar expression in follicular adenomas and normal tissue and discriminating follicular adenomas+normal tissue from the following: 1) follicular thyroid carcinomas (FTCs), 2) papillary thyroid carcinomas (PTCs), or 3) both FTCs and PTCs. These were used to generate four classifiers, the FTCs, PTCs, common (FTC+PTCs), and global classifiers. In 23 of the 26 sham FNAB, the four classifiers yielded a diagnosis in agreement with the diagnosis of the pathologist used as reference; in the three other cases, the correct diagnosis was given by three of four classifiers. Conclusions: We developed a procedure of molecular diagnosis of benign vs. malignant tumors applicable to the material collected by FNAB. The molecular test complied with a preclinical validation stage; it must be now evaluated on ultrasound-guided FNAB in a large-scale prospective study. 10.1210/jc.2007-1571}, author = {Durand, Stephanie and Ferraro-Peyret, Carole and Selmi-Ruby, Samia and Paulin, Christian and El and Berger, Francois and Berger-Dutrieux, Nicole and Decaussin, Myriam and Peix, Jean-Louis and Bournaud, Claire and Orgiazzi, Jacques and Borson-Chazot, Francoise and Rousset, Bernard }, citeulike-article-id = {2697222}, doi = {10.1210/jc.2007-1571}, journal = {J Clin Endocrinol Metab}, keywords = {diagnosis, molecular, thyroid-ca}, month = {April}, number = {4}, pages = {1195--1202}, posted-at = {2008-04-21 18:03:37}, priority = {2}, title = {Evaluation of Gene Expression Profiles in Thyroid Nodule Biopsy Material to Diagnose Thyroid Cancer}, url = {http://dx.doi.org/10.1210/jc.2007-1571}, volume = {93}, year = {2008} }

TY - JOUR ID - citeulike:2697222 TI - Evaluation of Gene Expression Profiles in Thyroid Nodule Biopsy Material to Diagnose Thyroid Cancer JF - J Clin Endocrinol Metab VL - 93 IS - 4 SP - 1195 EP - 1202 N2 - Context: Detection of thyroid cancer among benign nodules on fine-needle aspiration biopsies (FNAB), which presently relies on cytological examination, is expected to be improved by new diagnostic tests set up from genomic data. Objective: The aim of the study was to use a set of genes discriminating benign from malignant tumors, on the basis of their expression levels, to build tumor classifiers and evaluate their capacity to predict malignancy on FNAB. Design: We analyzed the level of expression of 200 potentially informative genes in 56 thyroid tissue samples (benign or malignant tumors and paired normal tissue) using nylon macroarrays. Gene expression data were subjected to a weighted voting algorithm to generate tumor classifiers. The performances of the classifiers were evaluated on a series of 26 sham FNAB, i.e. FNAB carried out on thyroid nodules after surgical resection. Results: A series of 19 genes with a similar expression in follicular adenomas and normal tissue and discriminating follicular adenomas+normal tissue from the following: 1) follicular thyroid carcinomas (FTCs), 2) papillary thyroid carcinomas (PTCs), or 3) both FTCs and PTCs. These were used to generate four classifiers, the FTCs, PTCs, common (FTC+PTCs), and global classifiers. In 23 of the 26 sham FNAB, the four classifiers yielded a diagnosis in agreement with the diagnosis of the pathologist used as reference; in the three other cases, the correct diagnosis was given by three of four classifiers. Conclusions: We developed a procedure of molecular diagnosis of benign vs. malignant tumors applicable to the material collected by FNAB. The molecular test complied with a preclinical validation stage; it must be now evaluated on ultrasound-guided FNAB in a large-scale prospective study. 10.1210/jc.2007-1571 KW - diagnosis KW - molecular KW - thyroid-ca AU - Durand, Stephanie AU - Ferraro-Peyret, Carole AU - Selmi-Ruby, Samia AU - Paulin, Christian AU - El AU - Berger, Francois AU - Berger-Dutrieux, Nicole AU - Decaussin, Myriam AU - Peix, Jean-Louis AU - Bournaud, Claire AU - Orgiazzi, Jacques AU - Borson-Chazot, Francoise AU - Rousset, Bernard PY - 2008/04/01/ UR - http://dx.doi.org/10.1210/jc.2007-1571 ER -