Study
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.
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| Dataset ID | Description | Technology | Samples |
|---|---|---|---|
| EGAD00001008022 |
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 |
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