Project description:Although most thyroid tumours are benign, thyroid cancer represents the most common malignancy of the endocrine system, comprising mainly follicular and papillary thyroid carcinomas (FTC and PTC, respectively). Previous studies have shed some light on the molecular pathogenesis of thyroid cancer but there have not been any comprehensive mass spectrometry-based proteomic studies to reveal protein expression differences between thyroid tumours and the molecular alterations associated with tumour malignancy. We applied a label-free quantitative mass spectrometry analysis to compare normal thyroid tissue with the three most common tumours of the thyroid gland: follicular adenoma, follicular carcinoma and papillary carcinoma.
Project description:The experiment was performed to identify differentially expressed microRNAs in follicular thyroid carcinoma and adenoma vs. normal thyroid tissue to explore possible common features in the proliferation stages. Furthermore comparisons between the carcinoma and adenoma were performed to search for distinct microRNAs that could be used in a classification model.
Project description:The study aimes to evaluate the neoplasm proteomic changes in benign follicular adenoma versus malignant follicular variant of papillary thyroid carcinoma. Tumor and non-tumor adjacent samples were analyzed by liquid nano-chromatography mass spectrometry and protein abundance was evaluated by label free quantification.
Project description:The diagnosis of follicular-patterned thyroid tumors such as follicular adenoma (FA), follicular thyroid carcinoma (FTC), and follicular variant of papillary thyroid carcinoma (FvPTC) remains challenging. This study aimed to explore the molecular differences among these three thyroid tumors by proteomic analysis.
Project description:Thyroid nodules occur in about 60% of the population. Current diagnostic strategies, however, often fail at distinguishing malignant nodules before surgery, thus leading to unnecessary, invasive treatments. As proteins are involved in all physio/pathological processes, a proteome investigation of biopsied nodules may help correctly classify and identify malignant nodules and discover therapeutic targets. Quantitative mass spectrometry data-independent acquisition (DIA) enables highly reproducible and rapid throughput investigation of proteomes. An exhaustive spectral library of thyroid nodules is essential for DIA yet still unavailable. This study presents a comprehensive thyroid spectral library covering five types of thyroid tissue: multinodular goiter, follicular adenoma, follicular and papillary thyroid carcinoma, and normal thyroid tissue. Our library includes 925,330 transition groups, 157,548 peptide precursors, 121,960 peptides, 9941 protein groups, and 9826 proteins from proteotypic peptides. This library resource was evaluated using three papillary thyroid carcinoma samples and their corresponding adjacent normal thyroid tissue, leading to effective quantification of up to 7863 proteins from biopsy-level thyroid tissues.
Project description:Follicular thyroid tumours were investigated using global gene expression analysis. Aim of this study was the identification of new markers for follicular thyroid carcinoma. Keywords: cell type comparison Gene expression analysis of 4 follicular thyroid adenomas, 4 follicular thyroid carcinomas, and 4 microinvasive follicular thyroid carcinomas.
Project description:Follicular thyroid tumours were investigated using global gene expression analysis. Aim of this study was the identification of new markers for follicular thyroid carcinoma. Keywords: cell type comparison
Project description:It is often difficult to distinguish histologically between the different types of follicular thyroid carcinoma, particularly when they are less invasive. Thus, the identification of specific gene or protein markers would help to apply the thyroid tumor sub-classification recently proposed by the WHO. However, the selection of the best set of markers for each class of follicular thyroid tumor needs a large-scale comparison of the gene and protein expression patterns of the various types of tumor. Keywords: disease comparison
Project description:Well-differentiated tumours (WDT) of the thyroid gland can be difficult to diagnose. Focal nuclear clearing can be suggestive of a papillary thyroid carcinoma (PTC), while questionable vascular or capsular penetration may raise the possibility of diagnosis of a follicular thyroid carcinoma (FTC). The recently proposed term “thyroid tumours of uncertain malignant potential” (TT-UMP) defines cases showing inconclusive morphological evidence of malignancy. We use microRNA (miRNA) expression profiling to analyze 42 well differentiated thyroid tumours including 7 follicular tumours of uncertain malignant potential (FT-UMP), 6 well differentiated tumours of uncertain malignant potential (WDT-UMP), 7 follicular thyroid adenomas (FTA), 5 follicular variant of papillary thyroid carcinoma (FV-PTC) 6 follicular thyroid carcinoma (FTC), and 11 conventional papillary thyroid carcinoma (C-PTC) with 6 C-PTC mutated for BRAFV600E (C-PTC-mut) and 5 not mutated: wild type (C-PTC-wt). Comparison of these 13 tumours of uncertain malignant potential (7 FT-UMP and 6 WDT-UMP) with those obtained from 16 PTC (11 C-PTC and 5 FV-PTC), 6 FTC and 7 FTA is performed in order to clarify the relationships between TT-UMP and the morphologically well characterized categories of thyroid tumours (i.e. C-PTC, FV-PTC, FTC and FTA). In first, each pathological sample (“L” for Lesional tissue) is compared with its matched control (“S” for Safe tissue) for the 42 patients (84 miRNA microarray slides). This control was taken from the same patient at a large distance from the tumour. Secondly, the perilesional tissue from the same patients but 2 (1 PTC and 1 adenoma, without enough RNA left) is compared to normal thyroid tissue (safe tissue reference) obtained from a patient who underwent total thyroidectomy for a laryngeal carcinoma that partially invaded the thyroid gland, to search for microRNA signatures of perilesional tissues (80 miRNA microarray slides).Experiments is performed with a miRNA microarray, referenced in GEO under the accession number GPL4717 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL4717). 42 Patients: 7 FT-UMP, 6 WDT-UMP, 7 FTA (+1 duplicate sample), 5 FV-PTC, 6 FTC (+ 2 duplicate samples), and 11 C-PTC. 44 dye-swap pairs and 1 with no dye swap pair for a total of 89 samples.