Molecular Signatures of Saudi Thyroid Cancer
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Project description:In Saudi Arabia, thyroid cancer ranked second only to breast cancer among females, eleventh among males and this increased incidence is prevalent in other Gulf Council Countries also. Differentiated thyroid cancer, which includes papillary thyroid cancer (PTC) and follicular subtypes, accounts for 90% of all thyroid malignancies. Currently, there are no clinical or molecular diagnostic tools to predict recurrence and aggressiveness of a subset of PTC. With the goal of better understanding the pathobiology of thyroid carcinogenesis we will use Whole Exome Sequencing to decipher the molecular and genetic signature of Saudi PTC based on International Cancer Genome Consortium (ICGC) Guidelines. The study will provide a better understanding of PTC and should have important clinical implications in the development of new and better strategies for targeted therapeutic intervention for the treatment of Saudi Arabian PTC
| EGAS00001000680 | EGA
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:We profiled the gene expression of 11 anaplastic thyroid carcinomas (ATC), 49 papillary thyroid carcinomas (PTC) and 45 normal thyroids (N) We hibridized a series of anaplastic thyroid carcinomas (ATC) and papillary thyroid carcinomas (PTC) onto Affymetrix U133 Plus 2.0 arrays. ATCs were obtained from different hospitals in France and Belgium. Paired RNA samples of PTCs and non-tumoral thyroid tissues were obtained from Ukraine via the Chernobyl Tissue Bank (www.chernobyltissuebank.com). Diagnoses were confirmed by the members of the International Pathology Panel of the Chernobyl Tissue Bank.
2012-11-09 | E-GEOD-33630 | biostudies-arrayexpress
Project description:Medullary thyroid cancer (MTC) accounts for less than 5% of all thyroid cancers, and it is a rare neuroendocrine tumor which derives from calcitonin-secreting thyroid C cells.Given the underlying mechanism involved in MTC remain unclear, the development and the specific pathways of MTC require further investigation.here we employed the application of TMT6plex-based LC-MS/MS to identify and analyze the novel differentially-expressed proteins(DEPs) from MTC patients, To our best knowledge, it is the first study to comprehensively investigate the molecular mechanisms of MTC by proteomics technology from Chinese MTC patients’ tissues, and these DEPs identified in our study will provide a better understanding of the underlying pathophysiology of MTC, as well as may provide potential therapeutic targets for patients with MTC.
2020-05-26 | PXD005898 | Pride
Project description:<p><strong>BACKGROUND:</strong> Novel biomarkers are urgently needed to distinguish between benign and malignant thyroid nodules and detect thyroid cancer in the early stage. The associations between serum IgG N-glycosylation and thyroid cancer risk have been revealed. We aimed to explore the potential of IgG N-glycan traits as biomarkers in the differential diagnosis of thyroid cancer.</p><p><strong>METHODS:</strong> Plasma IgG N-glycome analysis was applied to a discovery cohort followed by independent validation. IgG N-glycan profiles were obtained using a robust quantitative strategy based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. IgG N-glycans were relatively quantified, and classification performance was evaluated based on directly detected and derived glycan traits.</p><p><strong>RESULTS: </strong>Four directly detected glycans were significantly changed in thyroid cancer patients compared to that in non-cancer controls. Derived glycan traits and a classification glycol-panel were generated based on the directly detected glycan traits. In the discovery cohort, derived trait BN (bisecting type neutral N-glycans) and the glyco-panel showed potential in distinguishing between thyroid cancer and non-cancer controls with AUCs of 0.920 and 0.917, respectively. The diagnostic potential was further validated. Derived trait BN and the glycol-panel displayed “accurate” performance (AUC>0.8) in discriminating thyroid cancer from benign thyroid nodules and healthy controls in the validation cohort. Meanwhile, derived trait BN and the glycol-panel also showed diagnostic potential in detecting early-stage thyroid cancer.</p><p><strong>CONCLUSIONS:</strong> IgG N-glycome analysis revealed N-glycomic differences that allow classification of thyroid cancer from non-cancer controls. Our results suggested that derived trait BN and the classification glyco-panel rather than single N-glycans may serve as candidate biomarkers for further validation.</p>
2021-09-01 | MTBLS2935 | MetaboLights
Project description:Papillary thyroid carcinoma (PTC), the most common form of thyroid carcinomas, is a well-differentiated tumor and accounts for about 80% of all thyroid carcinomas. With the advantage of providing comprehensively analysis of global proteins in samples, proteomics techniques are increasingly applied in the field of identifying novel biomarkers in thyroid cancer. In this study, we conducted a TMT labeling-based quantitative proteomics analysis and bioinformatics analysis to compare the alternation of global proteins in tumor tissues and para-tumor tissues between PTC with LNM and without LNM.
2022-03-03 | PXD003225 | Pride
Project description:Although most thyroid tumours are benign, thyroid cancer represents the most common malignancy of the endocrine system, comprising mainly follicular and papillary thyroid carcinomas (FTC and PTC, respectively). Previous studies have shed some light on the molecular pathogenesis of thyroid cancer but there have not been any comprehensive mass spectrometry-based proteomic studies to reveal protein expression differences between thyroid tumours and the molecular alterations associated with tumour malignancy. We applied a label-free quantitative mass spectrometry analysis to compare normal thyroid tissue with the three most common tumours of the thyroid gland: follicular adenoma, follicular carcinoma and papillary carcinoma.
2017-05-03 | PXD002732 | Pride
Project description:Klinefelter syndrome (KS) is the most prevalent aneuploidy in males and is characterized by an extra copy of the X chromosome,while the non-mosaic form of KS with 47,XXY karyotype is the most frequent (80-90%), less common non-disjunction events during the early mitotic division of the zygote result in mosaic forms of KS (47,XXY/46,XY). Here, using a paradigmatic cohort of KS-inducible pluripotent stem cells (iPSCs) carrying 47,XXY karyotypes we present the first iPSC-based disease-modeling study performed on KS patients from Saudi Arabia. We profiled the transcriptome of these Saudi KS-iPSCs, virtually characterized by subduedcgenetic backgrounds. Moreover, we performed a comparative transcriptomic analysis to assess the aberrant gene expression profile due to X dosage imbalance in four Saudi and five European and North American 47,XXY patients-derived iPSCs from our previously published study on KS and high-grade sex chromosome aneuploidies (SCAs). We identified a transcriptomic signature including ten PAR1 genes and thirteen non-PAR escape genes consistently upregulated in KS compared to 46,XY controls in both groups, as well as 193 consistenty disregulated autosomal genes. Our results indicate that the global transcriptional impact of X chromosome overdosage in KS is largely attributable to X-linked genes escaping X inactivation, regardless of the geographical area of origin, ethnicity, and genetic background.
2023-08-02 | GSE220268 | GEO
Project description:We performed single-cell RNA sequencing (scRNA-seq) on 3 normal thyroid, 7 papillary thyroid cancer (PTC), and 5 anaplstic thyroid cancer (ATC) cases. We used scRNA-seq to analyze serirne/glycine metabolism in thyroid tumors.
2023-10-17 | GSE232237 | GEO