Identification of Tissue Specific DNA Methylation Signatures for Thyroid Nodule Diagnostics
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA421266 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR6350260_1.fastq.gz | Fastqsanger.gz | |||
| SRR6350260_2.fastq.gz | Fastqsanger.gz | |||
| SRR6350270_1.fastq.gz | Fastqsanger.gz | |||
| SRR6350270_2.fastq.gz | Fastqsanger.gz | |||
| SRR6350280_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 340 |
Similar Datasets
Project description:PURPOSE: Thyroid cancer is frequently difficult to diagnose due to an overlap of cytological features between malignant and benign nodules. This overlap leads to unnecessary removal of the thyroid in patients without cancer. While providing some improvement over cytopathologic diagnostics, molecular methods frequently fail to provide a correct diagnosis for thyroid nodules. These approaches are based on the difference between malignant nodules and normal adjacent thyroid tissue and assume that normal thyroid tissues are the same as benign nodules. However, in contrast to normal thyroid tissues, benign thyroid nodules can contain genetic alterations that can be found in cancerous nodules. PATIENTS AND METHODS: For the development of a new molecular diagnostic test for thyroid cancer, we evaluated DNA methylation in 109 thyroid tissues by using genome wide single base resolution DNA methylation analysis (Reduced Representation Bisulfite Sequencing). The test was validated in the retrospective cohort containing 64 thyroid nodules. RESULTS: By conducting Reduced Representation Bisulfite Sequencing in 109 thyroid specimens, we found significant differences between normal tissue, benign nodules, and cancer. Based on tissue-specific epigenetic signatures for benign and malignant nodules, we developed a new epigenetic approach for thyroid diagnostics. According to the validation cohort, our test has an estimated specificity of 97% (95% CI, 80 to 100), sensitivity of 100% (95% CI, 86 to 100), PPV of 97% (95% CI, 82-100), NPV of 100% (95%, 85 to 100). CONCLUSION: These data show that epigenetic testing can provide outstanding diagnostic accuracy for thyroid nodules by evaluating tissue specific DNA methylation.
2018-11-30 | GSE107738 | GEO
Project description:PurposeThyroid cancer is frequently difficult to diagnose due to an overlap of cytologic features between malignant and benign nodules. This overlap leads to unnecessary removal of the thyroid in patients without cancer. While providing some improvement over cytopathologic diagnostics, molecular methods frequently fail to provide a correct diagnosis for thyroid nodules. These approaches are based on the difference between cancer and adjacent thyroid tissue and assume that adjacent tissues are the same as benign nodules. However, in contrast to adjacent tissues, benign thyroid nodules can contain genetic alterations that can be found in cancer.Experimental Design: For the development of a new molecular diagnostic test for thyroid cancer, we evaluated DNA methylation in 109 thyroid tissues by using genome-wide single-base resolution DNA methylation analysis. The test was validated in a retrospective cohort containing 65 thyroid nodules.ResultsBy conducting reduced representation bisulfite sequencing in 109 thyroid specimens, we found significant differences between adjacent tissue, benign nodules, and cancer. These tissue-specific signatures are strongly linked to active enhancers and cancer-associated genes. Based on these signatures, we developed a new epigenetic approach for thyroid diagnostics. According to the validation cohort, our test has an estimated specificity of 97% [95% confidence interval (CI), 81-100], sensitivity of 100% (95% CI, 87-100), positive predictive value of 97% (95% CI, 83-100), and negative predictive value of 100% (95% CI, 86-100).ConclusionsThese data show that epigenetic testing can provide outstanding diagnostic accuracy for thyroid nodules.See related commentary by Mitmaker et al., p. 457.
| S-EPMC6335179 | biostudies-literature
Project description:genetic characteristics of thyroid nodule
| PRJEB19059 | ENA
Project description:There is a challenge of thyroid cancer versus benign follicular denoma differential diagnostics using fine-needle biopsy. RNA expression profiles can be used to identify biomarkers suitable for molecular diagnostics. Here we present raw RNA sequencing data obtained during Oncobox platform observational study for 96 human pathological thyroid biosamples. Data are compatible with Oncobox Atlas of Normal Tissue Expression (ANTE) database including profiles for healthy thyroid tissues. . The data provided are helpful to those implicated in thyroid cancer research and diagnostics, and in comparative analyses of human cancers.
2019-12-01 | GSE138042 | GEO
Project description:Purpose: To clinically and proteomically profile a fine-needle aspirate biopsy (FNAB) from a single in situ cold thyroid nodule (CTN). Experimental Design: The FNAB lysate was digested with trypsin, and analysed by LC-MSMS on an LTQ Orbitrap Velos. Remaining peptides were separated by reversed-phase chromatography and fractions analysed as technical duplicates. Identified proteins were analysed by Gene Ontology and protein abundance were calculated using the Top3 label-free method. The proteomic data was complemented with ultrasonography and scintigraphy of the thyroid gland; and cytology of the CTN FNAB. Results: Sixty seven and 2,595 non-redundant protein groups (2 unique peptides) were identified from unfractionated and fractionated CTN FNAB, respectively. Label-free protein abundance ranged over 6 orders of magnitude from the most abundant proteins, haemoglobin and thyroglobulin; to the low-abundance protein SON. Many previously-reported markers of thyroid cancer were in the top 23% of the identified proteins. GO analysis revealed high-enrichment for extracellular vesicular exosome and vesicle (cellular component); regulation of biological quality (biological processes); and structural molecule activity (molecular function). Conclusions and Clinical Significance: The CTN was clinically-classified as benign. Proteomic data from FNAB can provide additional diagnostic candidates indicative of benign or cancerous CTN without the need for invasive surgical intervention.
2017-10-26 | PXD001978 | Pride
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
Project description:In order to better understand the commonalities and differences in lateral root and nodule development, we compared their organogenesis and correlated this with changes in gene expression. To initiate lateral roots in Medicago truncatula we turned 2-day-old seedlings 135°, before returning them to their original axis of growth, while for nodule initiation we applied droplets of Sinorhizobium meliloti on the susceptibility zone of the root.
2019-09-20 | GSE133612 | GEO
Project description:Next generation sequencing identifies a highly accurate microRNA panel that distinguishes well-differentiated thyroid cancer from benign thyroid nodules
| PRJEB25356 | ENA
Project description:The thyroid maintains systemic homeostasis by regulating serum thyroid hormone concentrations. Here we report the establishment of adult stem cell-derived three-dimensional (3D) organoids representing murine and human thyroid follicular cells (TFCs). The TFC organoids (TFCO) harbour the complete machinery of hormone production as visualised by the presence of colloid in the lumen and by the presence of essential transporters and enzymes in the polarised epithelial cells that surround a central lumen. Both the established murine as human thyroid organoids express canonical thyroid markers PAX8 and NKX2.1, while the thyroid hormone precursor thyroglobulin is expressed at comparable levels to tissue. Single cell RNA sequencing and transmission electron microscopy confirm that TFCOs phenocopy primary thyroid tissue. Thyroid hormones are readily detectable in conditioned medium of human TFCOs.
2021-12-06 | GSE183962 | GEO
Project description:The thyroid maintains systemic homeostasis by regulating serum thyroid hormone concentrations. Here we report the establishment of adult stem cell-derived three-dimensional (3D) organoids representing murine and human thyroid follicular cells (TFCs). The TFC organoids (TFCO) harbour the complete machinery of hormone production as visualised by the presence of colloid in the lumen and by the presence of essential transporters and enzymes in the polarised epithelial cells that surround a central lumen. Both the established murine as human thyroid organoids express canonical thyroid markers PAX8 and NKX2.1, while the thyroid hormone precursor thyroglobulin is expressed at comparable levels to tissue. Single cell RNA sequencing and transmission electron microscopy confirm that TFCOs phenocopy primary thyroid tissue. Thyroid hormones are readily detectable in conditioned medium of human TFCOs.
2021-12-06 | GSE183961 | GEO