Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrative analysis of DNA methylation and gene expression identified follicular thyroid cancer-specific diagnostic biomarkers [Expression]

ABSTRACT: Integrative analysis of DNA methylation and gene expression identified follicular thyroid cancer-specific diagnostic biomarkers [Expression]

PROVIDER: PRJNA812512 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Integrative analysis of DNA methylation and gene expression identified follicular thyroid cancer-specific diagnostic biomarkers [Expression]

Project description:The diagnosis of follicular thyroid carcinoma (FTC) prior surgical resection remains a challenge, as routine screening methods, such as ultrasound or even FNAB, could not diagnose FTC preoperatively. Here, we performed an integrative analysis of DNA methylation and RNA assays data from our own cohort (14 Follicular thyroid carcinoma vs 16 Benign thyroid lesion) to identify thyroid cancer-specific DNA methylation markers. We first identified differentially methylated and expressed genes and examined their correlations. Candidate DNA methylation sites were selected and further verified in validation set. Among all candidate methylation sites, cg06928209 was the most promising site as a molecular marker for early diagnosis, with a sensitivity of 90%, a specificity of 80% and an AUC of 0.77. Overall, our study demonstrates the potential use of methylation markers in FTC diagnosis and may boost the development of new epigenetic therapies.

2022-03-05 | GSE197852 | GEO

Integrative analysis of DNA methylation and gene expression identified follicular thyroid cancer-specific diagnostic biomarkers [Methylation]

2022-03-05 | GSE197860 | GEO

Integrative analysis of DNA methylation and gene expression identified follicular thyroid cancer-specific diagnostic biomarkers

Project description:Integrative analysis of DNA methylation and gene expression identified follicular thyroid cancer-specific diagnostic biomarkers

| PRJNA812519 | ENA

Integrative analysis of DNA methylation and gene expression identified follicular thyroid cancer-specific diagnostic biomarkers [Methylation]

Project description:Integrative analysis of DNA methylation and gene expression identified follicular thyroid cancer-specific diagnostic biomarkers [Methylation]

| PRJNA812524 | ENA

Comparison of gene expression between follicular thyroid adenoma and follicular thyroid carcinoma

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.

2009-02-27 | E-GEOD-15045 | biostudies-arrayexpress

A two miRNA classifier differentiates follicular thyroid carcinomas from follicular thyroid adenomas

Project description:The inherent diagnostic limitations of thyroid fine needle aspiration (FNA), especially in the “indeterminate” category, can be partially overcome by molecular analyses. We aimed at the identification of miRNAs that could be used to improve the discrimination of indeterminate FNAs. miRNA expression profiling was performed for 17 follicular carcinomas (FTCs) and 8 follicular adenomas (FAs). The microarray results underwent cross-comparison using three additional microarray data sets. Candidate miRNAs were validated by qPCR in an independent set of 32 FTCs and 46 FAs. Sixty-eight differentially expressed miRNAs were identified. Thirteen miRNAs could be confirmed by cross comparison. A two-miRNA-classifier was established improving the diagnostic applicability and resulted in a sensitivity of 82% and a specificity of 49%. We present a classifier that has the potential to be successfully evaluated in cytology material for its capability to discriminate (mutation negative) indeterminate cytologies and thereby improving the pre-surgical diagnostics of thyroid nodules. miRNA expression profiling was performed for 17 follicular carcinomas (FTCs) and 8 follicular adenomas (FAs). All samples are independent, coming from different patients.

2014-10-07 | E-GEOD-62054 | biostudies-arrayexpress

Integrative Analysis of DNA Methylation and Gene Expression Identified Follicular Thyroid Cancer-Specific Diagnostic Biomarkers.

Project description:The diagnosis of follicular thyroid carcinoma (FTC) prior surgical resection remains a challenge, as routine screening methods, such as ultrasound or even FNAB, could not diagnose FTC preoperatively. Here, we performed an integrative analysis of DNA methylation and RNA array data from our own cohort (14 Follicular thyroid carcinoma vs 16 Benign thyroid lesion) to identify thyroid cancer-specific DNA methylation markers. We first identified differentially methylated and expressed genes and examined their correlations. Candidate DNA methylation sites were selected and further verified in validation set. Among all candidate methylation sites, cg06928209 was the most promising site as a molecular marker for early diagnosis, with a sensitivity of 90%, a specificity of 80% and an AUC of 0.77. Overall, our study demonstrates the potential use of methylation markers in FTC diagnosis and may boost the development of new epigenetic therapies.

| S-EPMC8964406 | biostudies-literature

Comparison of gene expression between follicular thyroid adenoma and follicular thyroid carcinoma

2009-02-28 | GSE15045 | GEO

Transcription profiling of radiation-induced follicular thyroid adenomas with sporadic follicular thyroid adenomas

Project description:transcriptome comparison of radiation-induced follicular thyroid adenomas with sporadic follicular thyroid adenomas

2005-11-04 | E-MEXP-484 | biostudies-arrayexpress

Epigenetic profiling of Follicular thyroid adenomas and carcinomas using high content DNA methylation arrays

Project 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 a genome-wide epigenetic profiling of 54 fresh frozen Follicular like thyroid samples using the Illumina Human DNA Methylation EPIC platform.

2022-09-01 | E-MTAB-10906 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data