Role of differentially expressed genes and long non-coding RNAs in papillary thyroid carcinoma diagnosis, progression, and prognosis

2018 ◽  
Vol 119 (10) ◽  
pp. 8249-8259 ◽  
Author(s):  
Wei-Yang Cai ◽  
Xiong Chen ◽  
Li-Ping Chen ◽  
Qian Li ◽  
Xiao-Jing Du ◽  
...  
Keyword(s):  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
Differentially Expressed Genes ◽  
Differentially Expressed ◽  
Papillary Thyroid ◽  
Non Coding Rnas

Identification of Differentially Expressed Genes Associated with Papillary Thyroid Carcinoma

2020 ◽  
Vol 23 (6) ◽  
pp. 546-553
Author(s):  
Hongyuan Cui ◽  
Mingwei Zhu ◽  
Junhua Zhang ◽  
Wenqin Li ◽  
Lihui Zou ◽  
...  
Keyword(s):  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
Differentially Expressed Genes ◽  
Molecular Mechanisms ◽  
Cellular Proliferation ◽  
Mrna Level ◽  
Thyroid Tissue ◽  
Differentially Expressed ◽  
Thyroid Tumors ◽  
Papillary Thyroid

Objective: Next-generation sequencing (NGS) was performed to identify genes that were differentially expressed between normal thyroid tissue and papillary thyroid carcinoma (PTC). Materials & Methods: Six candidate genes were selected and further confirmed with quantitative real-time polymerase chain reaction (qRT-PCR), and immunohistochemistry in samples from 24 fresh thyroid tumors and adjacent normal tissues. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was used to investigate signal transduction pathways of the differentially expressed genes. Results: In total, 1690 genes were differentially expressed between samples from patients with PTC and the adjacent normal tissue. Among these, SFRP4, ZNF90, and DCN were the top three upregulated genes, whereas KIRREL3, TRIM36, and GABBR2 were downregulated with the smallest p values. Several pathways were associated with the differentially expressed genes and involved in cellular proliferation, cell migration, and endocrine system tumor progression, which may contribute to the pathogenesis of PTC. Upregulation of SFRP4, ZNF90, and DCN at the mRNA level was further validated with RT-PCR, and DCN expression was further confirmed with immunostaining of PTC samples. Conclusion: These results provide new insights into the molecular mechanisms of PTC. Identification of differentially expressed genes should not only improve the tumor signature for thyroid tumors as a diagnostic biomarker but also reveal potential targets for thyroid tumor treatment.

scholarly journals Network Analyses of Integrated Differentially Expressed Genes in Papillary Thyroid Carcinoma to Identify Characteristic Genes

Genes ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 45 ◽  
Author(s):  
Junliang Shang ◽  
Qian Ding ◽  
Shasha Yuan ◽  
Jin-Xing Liu ◽  
Feng Li ◽  
...  
Keyword(s):  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
Differentially Expressed Genes ◽  
Interaction Network ◽  
Enrichment Analysis ◽  
Differentially Expressed ◽  
Papillary Thyroid ◽  
Topological Properties ◽  
Network Analyses ◽  
Genetic Mechanisms

Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer. Identifying characteristic genes of PTC are of great importance to reveal its potential genetic mechanisms. In this paper, we proposed a framework, as well as a measure named Normalized Centrality Measure (NCM), to identify characteristic genes of PTC. The framework consisted of four steps. First, both up-regulated genes and down-regulated genes, collectively called differentially expressed genes (DEGs), were screened and integrated together from four datasets, that is, GSE3467, GSE3678, GSE33630, and GSE58545; second, an interaction network of DEGs was constructed, where each node represented a gene and each edge represented an interaction between linking nodes; third, both traditional measures and the NCM measure were used to analyze the topological properties of each node in the network. Compared with traditional measures, more genes related to PTC were identified by the NCM measure; fourth, by mining the high-density subgraphs of this network and performing Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, several meaningful results were captured, most of which were demonstrated to be associated with PTC. The experimental results proved that this network framework and the NCM measure are useful for identifying more characteristic genes of PTC.

Identification of biomarkers associated with cervical lymph node metastasis in papillary thyroid carcinoma: Evidence from an integrated bioinformatic analysis

2021 ◽  
pp. 1-10
Author(s):  
Zheng Zhang ◽  
Shuangshuang Zhao ◽  
Keke Wang ◽  
Mengyuan Shang ◽  
Zheming Chen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lymph Node ◽  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
Differentially Expressed Genes ◽  
Cervical Lymph Node ◽  
Receptor Activity ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Papillary Thyroid

Integrated analysis of accumulated data is an effective way to obtain reliable potential diagnostic molecular of cervical lymph node metastases (LNM) in papillary thyroid carcinoma (PTC). The benefits of prophylactic lymph node dissection (PLND) for these clinically node-negative (cN0) patients remained considerable controversies. Hence, elucidation of the mechanisms of LNM and exploration of potential biomarkers and prognostic indicators are essential for accurate diagnosis of LNM in PTC patients. Up to date, advanced microarray and bioinformatics analysis have advanced an understanding of the molecular mechanisms of disease occurrence and development, which are necessary to explore genetic changes and identify potential diagnostic biomarkers. In present study, we performed a comprehensive analysis of the differential expression, biological functions, and interactions of LNM-related genes. Two publicly available microarray datasets GSE60542 and GSE129562 were available from Gene Expression Omnibus (GEO) database. Differentially expressed genes between clinically node-positive (cN1) and cN0 PTC samples were screened by an integrated analysis of multiple gene expression profile after gene reannotation and batch normalization. Our results identified 48 differentially expressed genes (DEGs) genetically associated with LNM in PTC patients. Gene ontology (GO) analyses revealed the changes in the modules were mostly enriched in the regulation of MHC class II receptor activity, the immune receptor activity, and the peptide antigen binding. Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis of DEGs displayed that the intestinal immune network for IgA production, staphylococcus aureus infection, and cell adhesion molecules (CAMs). To screen core genes related to LNM of PTC from the protein-protein interaction network, top 10 hub genes were identified with highest scores. Our results help us understand the exact mechanisms underlying the metastasis of cervical LNM in PTC tissues and pave an avenue for the progress of precise medicine for individual patients.

scholarly journals Identification of key genes of papillary thyroid carcinoma by integrated bioinformatics analysis

2020 ◽  
Vol 40 (8) ◽  
Author(s):  
Gang Xue ◽  
Xu Lin ◽  
Jing-Fang Wu ◽  
Da Pei ◽  
Dong-Mei Wang ◽  
...  
Keyword(s):  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
Differentially Expressed Genes ◽  
Disease Free Survival ◽  
Differentially Expressed ◽  
Mrna Levels ◽  
Papillary Thyroid ◽  
Positive Role ◽  
Immune Infiltration ◽  
Key Genes

Abstract Background: Papillary thyroid carcinoma (PTC) is one of the fastest-growing malignant tumor types of thyroid cancer. Therefore, identifying the interaction of genes in PTC is crucial for elucidating its pathogenesis and finding more specific molecular biomarkers. Methods: Four pairs of PTC tissues and adjacent tissues were sequenced using RNA-Seq, and 3745 differentially expressed genes were screened (P<0.05, |logFC|>1). The enrichment analysis indicated that the vast majority of differentially expressed genes (DEGs) may play a positive role in the development of cancer. Then, the significant modules were analyzed using Cytoscape software in the protein–protein interaction network. Survival analysis, TNM analysis, and immune infiltration analysis of key genes were analyzed. And the expression of ADORA1, APOE, and LPAR5 genes were verified by qPCR in PTC compared with matching adjacent tissues. Results: Twenty-five genes were identified as hub genes with nodes greater than 10. The expression of 25 genes were verified by the GEPIA database, and the overall survival and disease-free survival analyses were conducted with Kaplan–Meier plotter. We found only three genes were confirmed with our validation and were statistically significant in PTC, namely ADORA1, APOE, and LPAR5. Further analysis found that the mRNA levels and methylation degree of these three genes were significantly correlated with the TNM staging of PTC. And these three genes were related to PTC immune infiltration. Verification of the expression of these three genes by RT-qPCR and Western blot further confirmed the reliability of our results. Conclusion: Our study identified three genes that may play key regulatory roles in the development, metastasis, and immune infiltration of papillary thyroid carcinoma.

scholarly journals Integrated bioinformatics analysis and screening of hub genes in papillary thyroid carcinoma

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0251962
Author(s):  
Rong Fan ◽  
Lijin Dong ◽  
Ping Li ◽  
Xiaoming Wang ◽  
Xuewei Chen
Keyword(s):  
Gene Ontology ◽  
Survival Analysis ◽  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
Differentially Expressed Genes ◽  
Enrichment Analysis ◽  
Differentially Expressed ◽  
Papillary Thyroid ◽  
Hub Genes ◽  
Online Software

Background With the increasing incidence of papillary thyroid carcinoma (PTC), PTC continues to garner attention worldwide; however its pathogenesis remains to be elucidated. The purpose of this study was to explore key biomarkers and potential new therapeutic targets for, PTC. Methods GEO2R and Venn online software were used for screening of differentially expressed genes. Hub genes were screened via STRING and Cytoscape, followed by Gene Ontology and KEGG enrichment analysis. Finally, survival analysis and expression validation were performed using the UALCAN online software and immunohistochemistry. Results We identified 334 consistently differentially expressed genes (DEGs) comprising 136 upregulated and 198 downregulated genes. Gene Ontology enrichment analysis results suggested that the DEGs were mainly enriched in cancer-related pathways and functions. PPI network visualization was performed and 17 upregulated and 13 downregulated DEGs were selected. Finally, the expression verification and overall survival analysis conducted using the Gene Expression Profiling Interactive Analysis Tool (GEPIA) and UALCAN showed that LPAR5, TFPI, and ENTPD1 were associated with the development of PTC and the prognosis of PTC patients, and the expression of LPAR5, TFPI and ENTPD1 was verified using a tissue chip. Conclusions In summary, the hub genes and pathways identified in the present study not only provide information for the development of new biomarkers for PTC but will also be useful for elucidation of the pathogenesis of PTC.

Challenges in the correct assessment of a case of aggressive thyroid carcinoma with synchronous breast cancer, case report and review of the literature: essential role of radiopharmaceuticals

2020 ◽  
Vol 13 ◽  
Author(s):  
Andra Piciu ◽  
Alexandru Mester ◽  
George Rusu ◽  
Doina Piciu
Keyword(s):  
Breast Cancer ◽  
Papillary Thyroid Carcinoma ◽  
Breast Carcinoma ◽  
Thyroid Carcinoma ◽  
Bone Metastases ◽  
Essential Role ◽  
Papillary Thyroid ◽  
Invasive Ductal Breast Carcinoma ◽  
Ductal Breast Carcinoma

Background: Thyroid carcinoma represents a complex pathology that can still be considered a medical challenge, despite having a better prognosis and life expectancy than most other neoplasms, also the scenario of multiple malignancies involving thyroid cancer is nowadays a common reality. Materials and methods: We reviewed the literature regarding the aggressive presentation of synchronous thyroid and breast cancer. In the current paper we are reporting the case of a 59 years-old woman, diagnosed with invasive ductal breast carcinoma and papillary thyroid carcinoma, presenting a natural history of both aggressive synchronous tumors. At the moment of hospitalization, the diagnostic was breast carcinoma with multiple secondary lesions, suggestive for lung and bone metastases, and nodular goiter. Results: Searching the literature PUBMED with the terms “thyroid carcinoma and synchronous breast carcinoma we found 86 studies; introducing the term “aggressive” the result included 4 studies, among them none being relevant for aggressive and synchronous. A similar search was done in SCOPUS finding 92 documents and after introducing the term aggressive, the number of papers was 8, none being for the synchronous aggressive metastatic thyroid and breast carcinoma. The majority of imaging diagnostic tools were used in this particular medical case, in order to ensure the best potential outcome. The final diagnostic was papillary thyroid carcinoma with lung and unusual multiple bone metastases and synchronous invasive ductal breast carcinoma with subcutaneous metastases. Conclusion: The case illustrates the challenges in correct assessment of oncologic patients, despite the advances in medical imaging and technologies and underlines the essential role of nuclear medicine procedures in the diagnostic and therapy protocols.

scholarly journals Analysis of the Role of FRMD5 in the Biology of Papillary Thyroid Carcinoma

2021 ◽  
Vol 22 (13) ◽  
pp. 6726
Author(s):  
Agata M. Gaweł ◽  
Maciej Ratajczak ◽  
Ewa Gajda ◽  
Małgorzata Grzanka ◽  
Agnieszka Paziewska ◽  
...  
Keyword(s):  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
Endocrine System ◽  
Metastatic Potential ◽  
Multidrug Resistant ◽  
Thyroid Tumor ◽  
Braf V600e ◽  
Papillary Thyroid ◽  
Spheroid Formation

Background: Thyroid carcinoma (TC) is the most common endocrine system malignancy, and papillary thyroid carcinoma (PTC) accounts for >80% of all TC cases. Nevertheless, PTC pathogenesis is still not fully understood. The aim of the study was to elucidate the role of the FRMD5 protein in the regulation of biological pathways associated with the development of PTC. We imply that the presence of certain genetic aberrations (e.g., BRAF V600E mutation) is associated with the activity of FRMD5. Methods: The studies were conducted on TPC1 and BCPAP (BRAF V600E) model PTC-derived cells. Transfection with siRNA was used to deplete the expression of FRMD5. The mRNA expression and protein yield were evaluated using RT-qPCR and Western blot techniques. Proliferation, migration, invasiveness, adhesion, spheroid formation, and survival tests were performed. RNA sequencing and phospho-kinase proteome profiling were used to assess signaling pathways associated with the FRMD5 expressional status. Results: The obtained data indicate that the expression of FRMD5 is significantly enhanced in BRAF V600E tumor specimens and cells. It was observed that a drop in intracellular yield of FRMD5 results in significant alternations in the migration, invasiveness, adhesion, and spheroid formation potential of PTC-derived cells. Importantly, significant divergences in the effect of FRMD5 depletion in both BRAF-wt and BRAF-mutated PTC cells were observed. It was also found that knockdown of FRMD5 significantly alters the expression of multidrug resistant genes. Conclusions: This is the first report highlighting the importance of the FRMD5 protein in the biology of PTCs. The results suggest that the FRMD5 protein can play an important role in controlling the metastatic potential and multidrug resistance of thyroid tumor cells.

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