Next Generation Sequencing Facilitates Quantitative Analysis of Papillary Thyroid Carcinoma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE153659 | GEO | 2020/08/16
REPOSITORIES: GEO
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Project description:CircRNA deregulation could be a crucial event in thyroid carcinoma. To investigate circRNA signatures present in several papillary thyroid carcinoma (PTC) patients to complement our understanding of PTC pathogenesis. Using microarray technology, we screened the circRNA profiles in 3 pairs of PTC tumors and matching adjacent normal tissues. This study evaluated circRNAs expression profiles and their ability to serve as reliable biomarkers and new potential diagnostic and therapeutic targets for PTC
2021-07-07 | GSE173299 | GEO
Project description:The aim of this study was to conduct a comparison of tissue miRNA in thyroid cancer (papillary (PTC), follicular (FTC), and microcancer (PTMC)) and healthy thyroid tissue (Control). The expression level of 798 miRNAs using NanoString technology was examined. ROC curve analysis, and logistic regression modeling were performed. Gene ontology (GO), canonical pathways analysis were used to explore the biological functions of the miRNA target genes. The study revealed that 10 miRNAs were deregulated in samples of patients with PTC. Pathway analysis showed that miRNA target genes were mainly significantly enriched in endocrine resistance, EGFR tyrosine kinase inhibitor resistance, and pathways in cancer. ROC analysis demonstrated that miR-146-5p, miR-551b-3p, and miR-222-3p can be introduced as a diagnostic tool for PTC (AUC=0.770; 0.740; 0.720; respectively). Validation by qRT-PCR confirmed our findings. The results suggest that tissue miRNAs can potentially be used as predictive biomarkers of PTC in patients.
2022-05-26 | GSE191117 | GEO
Project description:Apart from alterations in the RET/PTC-RAS-BRAF pathway, comparatively little is known about the genetics of papillary thyroid carcinoma (PTC). We show that numerous miRNAs are transcriptionally up-regulated in PTC tumors compared with unaffected thyroid tissue. A set of 5 miRNAs including the 3 most upregulated ones (miRs 221, 222, 146) distinguished unequivocally between PTC and normal thyroid. Additionally, miR-221 was upregulated in unaffected thyroid tissue in several PTC patients, presumably an early event in carcinogenesis. Tumors in which the upregulation (11-19 fold) of miRs 221, 222 and 146 was strongest showed dramatic loss of KIT transcript and Kit protein. In five of 10 such cases this was associated with germline single nucleotide changes in the two recognition sequences in KIT for these miRNAs. We conclude that upregulation of several miRs and down regulation of KIT are involved in PTC pathogenesis, and that sequence changes in genes targeted by miRNAs can contribute to their downregulation.
2005-02-28 | E-TABM-68 | biostudies-arrayexpress
Project description:Expression microarray was used to compare 57 PTC with a reference sample (pool of 9 adjacent normal thyroid tissue) and 4 PTC against 4 matched adjacent normal thyroid tissue. A quality control filter was applied based on Feature Extraction flags (empty spaces replacing values)
2014-11-01 | GSE50901 | GEO
Project description:The dysregulation of circular RNAs (circRNAs) has been implicated in the development and progression of papillary thyroid cancer (PTC). In this study, we analyzed the dysregulated circRNA profile using PTC tissues and matched adjacent normal tissues by RNA-seq.
2023-07-27 | GSE237841 | GEO
Project description:Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer among women worldwide. It is confirmed mainly by fine-needle aspiration biopsy (FNAB), an invasive diagnostic method. The key proteins responsible for thyroid hormone biosynthesis are glycosylated. Changes in site-specific glycosylation are associated with thyroid cancer. Integrated quantitative proteomic and glycoproteomic analyses of body fluids from patients with PTC may identify potential noninvasive biomarkers, improve diagnostic accuracy, and elucidate the basic mechanisms of tumor development. In the present study, we demonstrated a novel integrated method of body fluid proteome and glycoproteome analysis. We showed that it is highly reproducible and fast. It may also quantitatively profile protein glycosylation. Intact N-glycopeptides from the urine and plasma of healthy controls (HC), PTC, and PTC with Hashimoto’s thyroiditis (PHT) were enriched by hydrophilic interaction liquid chromatography. Sialic acid was removed from the N-glycopeptides with trifluoroacetic acid and heat. The desialo-N-glycopeptides were analyzed by HCD-MS/MS using stepped collision energies and several search engines for quantitative profiling. Ninety-two altered proteins and 134 intact N-glycopeptides were isolated from the plasma and urine samples of the three groups (90 samples from 15 subjects). To the best of our knowledge, this study is the first to compare the plasma and urinary proteomes and glycoproteomes of HC, PTC, and PHT. Moreover, we revealed a novel indicator (ratio of fucosylated to non-fucosylated N-glycopeptide or F/NF) through desialo-N-glycopeptide analysis. These differently expressed glycoproteins and F/NF may serve as biomarkers contributing to clinical cancer diagnostics and could be used to improve diagnostic accuracy noninvasively.
2019-12-09 | PXD015360 | Pride
Project description:<p><strong>PURPOSE:</strong> Amino acids (AAs) play important physiological roles in living cells. Some amino acid changes in blood are specific for autoimmune disorders, and some are specific for thyroid cancer. The aims of this study were to profile AA metabolites in the serum of patients with papillary thyroid carcinoma (PTC0) without Hashimoto’s thyroiditis (HT) and patients with PTC with HT (PTC1) and predict whether AA metabolites are associated with thyroid disease, thyroid hormone and thyroid autoantibodies. </p><p><strong>METHODS:</strong> A total of 93 serum samples were collected, including 28 healthy controls (HCs), 28 PTC0 patients and 37 PTC1 patients. Serum samples were analysed by high-performance liquid chromatography-triple stage quadrupole-mass spectrometry (HPLC-TSQ-MS), and 21 amino acids (AAs) were detected.</p><p><strong>RESULTS:</strong> The serum concentration of glutamic acid was significantly elevated in PTC1 patients compared with PTC0 patients. Lysine was the second amino acid that differentiated these two groups of PTC patients. In addition, the serum concentrations of glycine, alanine and tyrosine were significantly reduced in both PTC patient groups compared to the HC group. These AAs were also correlated with thyroid hormones and antibodies. Five amino acid markers, namely, glycine, tyrosine, glutamic acid, glutamine and arginine, separated/distinguished PTC0 patients from healthy subjects, and eight AA markers, the same AAs as above without arginine but with alanine, leucine, valine and histidine, separated/distinguished PTC1 patients from healthy subjects based on ROC analysis.</p><p><strong>CONCLUSION:</strong> Compared with the HCs, changes in AAs in PTC0 and PTC1 patients showed similar patterns, suggesting the possibility of a common pathophysiological basis, which confirms preliminary research that PTC is significantly associated with pathologically confirmed HT. We found two AAs, lysine and alanine, that can perform diagnostic functions in distinguishing PTC1 from PTC0.</p>
2023-08-09 | MTBLS8012 | MetaboLights
Project description:Mice with thyroid-specific expression of oncogenic BRAF (Tg-Braf) develop papillary thyroid cancers (PTC) that are locally invasive and have well-defined foci of poorly differentiated thyroid carcinoma (PDTC). To investigate the PTC-PDTC progression, we performed a microarray analysis using RNA from paired samples of PDTC and PTC collected from the same animals by laser capture microdissection. Analysis of 8 paired samples revealed a profound deregulation of genes involved in cell adhesion and intracellular junctions, with changes consistent with an epithelial-mesenchymal transition (EMT). This was confirmed by IHC, as vimentin expression was increased and E-cadherin lost in PDTC compared to adjacent PTC. Moreover, PDTC stained positively for phospho-Smad2, suggesting a role for transforming growth factor-beta (TGFbeta) in mediating this process. Accordingly, TGFbeta induced EMT in primary cultures of thyroid cells from Tg-Braf mice, whereas wild-type thyroid cells retained their epithelial features. TGFbeta-induced Smad2 phosphorylation, transcriptional activity and induction of EMT required MAPK pathway activation in Tg-Braf thyrocytes. Hence, tumor initiation by oncogenic BRAF renders thyroid cells susceptible to TGFbeta-induced EMT, through a MAPK-dependent process. Comparing the transcription profiles of 8 pairs of murine poorly differentiated thyroid cancer and papillary thyroid cancer collected from the same animals by laser capture microdissection. Co-hybridizations were done in triplicate with a single dye flip.
2011-03-22 | E-GEOD-27668 | biostudies-arrayexpress
Project description:Expression microarray was used to compare 57 PTC with a reference sample (pool of 9 adjacent normal thyroid tissue) and 4 PTC against 4 matched adjacent normal thyroid tissue. A quality control filter was applied based on Feature Extraction flags (empty spaces replacing values) Experiment condition, 61 PTC and 4 adjacent normal thyroid tissue samples obtained from total thyroidectomies were laleled with Cy3 and a pool of 9 adjacent normal thyroid tissue was labeled with Cy5. Samples Cy3 and Cy5 were mixed and hybridized at slide glasses Agilent 8x60k platform.
2014-11-01 | E-GEOD-50901 | biostudies-arrayexpress
Project description:Thyroid gland is among the most sensitive organs to ionizing radiation. Whether low-dose radiation-induced papillary thyroid cancer (PTC) differs from sporadic PTC is yet unknown. We used microarrays to identify gene signature of radiation-induced papillary thyroid carcinomas To identify molecular differences between radiation-induced (Exposed to Chernobyl Radiation, ECR) and sporadic PTC, we investigated 65 childhood/young adult PTC samples using DNA microarray (Affymetrix, Human Genome U133 2.0 Plus). The PTC samples were from patients born either before (33 ECR cases) or at least 9 months after (32 non-ECR cases) the Chernobyl catastrophe. Multofactoral analyses were performed in order to define some additional factors that could have impact on the gene expression profile. Morover the microarray data were validated with the QPCR reaction and exon arrays.
2015-12-31 | E-GEOD-35570 | biostudies-arrayexpress