Genomic profiling of Follicular thyroid adenomas and carcinomas using exome-sequencing analyses

Study ID Alternative Stable ID Type
EGAS00001005561 Other

Study Description

While thyroid nodules per se are frequent (4%–50%), thyroid cancer is rare (∼5% of all thyroid nodules). The minimally invasive Fine Needle Aspiration Cytology (FNAC) is the current gold standard for the diagnosis thyroid nodule malignancy. However, proper discrimination of follicular neoplasias often require more invasive diagnostic techniques. To develop a novel molecular classification system for thyroid cancer malignancy, we performed an genomic profiling of 54 fresh frozen Follicular like thyroid samples using a whole exome sequencing approach (SureSelect V6 Target enrichment protocol and the Illumina Novaseq 6000 platform)

Study Datasets 1 dataset.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
This dataset was conceived to characterize the genomic differences among different types of follicular-like thyroid lesions. To do so, we performed whole exome sequencing experiments on human biopsies corresponding to nodular hyperplasias, follicular thyroid adenomas, follicular thyroid carcinomas and Follicular Variant Thyroid Gland Papillary Carcinomas.
Illumina NovaSeq 6000 54

Who archives the data?

There are no publications available