Microarray Expression Analysis of Circular RNAs in papillary thyroid carcinoma.
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ABSTRACT:
PROVIDER: PRJNA725149 | ENA |
REPOSITORIES: ENA
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Project description:Background: Non-coding circular RNAs (circRNAs) have displayed dysregulated expression in several human cancers. Here, we profiled the circRNA expression of papillary thyroid carcinoma (PTC) tumors to improve our understanding of PTC pathogenesis as well as to identify potential circRNA biomarkers for PTC.
2017-02-23 | GSE93522 | GEO
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 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:To evaluate the expression profiles of circular RNAs (circRNAs) in papillary thyroid cancer (PTC) and to find new PTC biomarkers. Objective: The goal of this study was to characterize the expression profiles of circular RNAs (circRNAs) in papillary thyroid carcinoma (PTC), analyze their biological function, and discover new biomarkers for PTC. Methods: From June 2019 to July 2020, 68 patients admitted to Qilu Hospital and confirmed with PTC were included in this study. PTC and paired healthy tissue samples were collected and analyzed. The circRNA expression profiles of 4 pairs of samples were determined using high-throughput sequencing. Differentially expressed circRNAs were discovered to be associated with multiple related microRNAs (miRNAs) and messenger RNAs using bioinformatics analysis (mRNAs). Results: 89 upregulated and 14 downregulated circRNAs were identified in PTC tissues using high-throughput sequencing (fold change ≥ 2; p < 0.05). Among the upregulated circRNAs, we identified 14 significantly regulated circRNAs that play an important role in the pathogenesis of thyroid cancer using the network map of circRNA–miRNA–mRNA interactions. Following that, we validated the expression levels of seven candidate circRNAs (hsa_circ_0031584, hsa_circ_0082002, hsa_circ_0000660, hsa_circ_0067938, hsa_circ_0002483, hsa_circ_0003692, and hsa_circ_0006509) and discovered that among the circRNAs that we verified to be significantly differentially expressed Conclusions: The findings imply that dysregulated circRNAs may play an important role in the pathogenesis of PTC. We also discovered 14 circRNAs that were significantly upregulated and could be used to diagnose and treat PTC.
2022-02-28 | GSE197443 | GEO
Project description:Through the translatome sequencing (Ribo-seq) of clinically obtained papillary thyroid carcinoma and its paired adjacent tissues, we tried to find the differences in the translation of various genes and evaluate the translation function of circular RNAs in the two tissues. We then performed gene expression profiling analysis using data obtained from Ribo-seq of 4 different pairs of Papillary Thyroid Carcinoma tissue sample and adjacent normal tissue. At the translatome level, we screened out 247 circRNAs with translation ability.
2024-08-01 | GSE212031 | GEO
Project description:BackgroundNon-coding circular RNAs (circRNAs) have displayed dysregulated expression in several human cancers. Here, we profiled the circRNA expression of papillary thyroid carcinoma (PTC) tumors to improve our understanding of PTC pathogenesis.MethodsMicroarray profiling was performed on 18 thyroid samples, consisting of six PTC tumors, six matching contralateral normal samples, and six benign thyroid lesions. After low-intensity filtering, hierarchical clustering revealed the circRNA expression patterns. Statistical analysis followed by qRT-PCR validation identified the differential circRNAs. MicroRNA (miRNA) target prediction software identified putative miRNA response elements (MREs), which were used to construct a network map of circRNA-miRNA interactions for the differential circRNAs. Bioinformatics platforms predicted cancer-related circRNA-miRNA associations and putative downstream target genes, respectively.ResultsA total of 88 circRNAs and 10 circRNAs were significantly upregulated and downregulated, respectively, in PTC tumors relative to normal thyroid tissue, while 129 circRNAs and 226 circRNAs were significantly upregulated and downregulated, respectively, in PTC tumors relative to benign thyroid lesions. A total of 12 upregulated and four downregulated circRNAs were overlapping between the foregoing comparisons. One downregulated circRNA (hsa_circRNA_100395) showed interactive potential with two cancer-related miRNAs (miR-141-3p and miR-200a-3p). From this analysis, we identified several promising cancer-related genes that may be targets of the dysregulated hsa_circRNA_100395/miR-141-3p/miR-200a-3p axis in PTC tumors.ConclusionscircRNA dysregulation may play a role in PTC pathogenesis, and several key circRNAs show promise as candidate biomarkers for PTC. The hsa_circRNA_100395/miR-141-3p/ miR-200a-3p axis may be involved in the pathogenesis of PTC.
| S-EPMC5347999 | biostudies-literature
Project description:Long noncoding RNAs (lncRNAs) have been proved to play important roles in cancer biology. To understand their expression profile and potential functions in papillary thyroid carcinoma (PTC), we investigated the lncRNA and mRNA expression in PTC and paired adjacent noncancerous thyroid tissues using microarray analysis.
2015-07-16 | GSE66783 | GEO
Project description:Here we have performed quantitative and qualitative profiling of the proteome of cystic fluid from human cystic papillary thyroid carcinoma with the aim to identify specific proteins and pathways involved in cystic fluid from human cystic papillary carcinoma, as well as possible diagnostic markers.
2015-05-20 | PXD000996 | Pride
Project description:Label-free proteomics profiling of 37 paired tumor-normal tissues of papillary thyroid cancer
2024-02-08 | PXD044900 | Pride
Project description:Tumor microenvironment heterogeneity sheltered our understanding of papillary thyroid cancer. However, molecular characteristics of papillary thyroid cancer has not been reported at single cell resolution. The immunological link between papillary thyroid cancer and Hashimoto's thyroiditis is also in doubt.We identified 24 cell clusters in human papillary thyroid cancer based on their heterogeneous gene expression pattern. Follicular epithelial cell subsets in papillary thyroid cancer with Hashimoto's thyroiditis and papillary thyroid cancer without Hashimoto's thyroiditis showed different malignant level. Machine learning model identified potential biomarker to evaluate tumor epithelial cell development. Together with immunostaining, lymphocytes heterogeneity indicated an obvious B cell infiltration pattern in papillary thyroid cancer with Hashimoto's thyroiditis. Additionally, trajectory analysis of B cell and plasma cell suggest the migration potential from normal adjacent tissue of Hashimoto's thyroiditis to papillary thyroid cancer tissue. Our results provide the first single cell landscape of Papillary thyroid cancer. Single cell data resource of Papillary thyroid cancer with Hashimoto's thyroiditis promote our understanding of molecular heterogeneity and immunological link between papillary thyroid cancer and Hashimoto's thyroiditis.
2021-07-01 | GSE163203 | GEO