scholarly journals Circulating MicroRNA Profiles as Potential Biomarkers for Diagnosis of Papillary Thyroid Carcinoma

2012 ◽  
Vol 97 (6) ◽  
pp. 2084-2092 ◽  
Author(s):  
Shuang Yu ◽  
Yuanyuan Liu ◽  
Jingsong Wang ◽  
Zhuming Guo ◽  
Quan Zhang ◽  
...  
Keyword(s):  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
Circulating Microrna ◽  
Papillary Thyroid ◽  
Potential Biomarkers

scholarly journals The Landscape of Circular RNA Expression Profiles in Papillary Thyroid Carcinoma Based on RNA Sequencing

2018 ◽  
Vol 47 (3) ◽  
pp. 1122-1132 ◽  
Author(s):  
Xiabin Lan ◽  
Jiajie Xu ◽  
Chao Chen ◽  
Chuanming Zheng ◽  
Jiafeng Wang ◽  
...  
Keyword(s):  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
Kegg Pathway ◽  
Expression Profiles ◽  
Roc Curves ◽  
Circular Rna ◽  
Papillary Thyroid ◽  
Biological Functions ◽  
Qrt Pcr ◽  
Potential Biomarkers

Background/Aims: Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer. However, the molecular mechanisms responsible for its tumorigenesis and progression remain largely unknown. Circular RNA (circRNA) is a novel type of noncoding RNA that can serve as an ideal biomarker due to its stability. Recent evidence suggests that circRNAs play important roles in tumorigenesis. This study aims to investigate circRNA expression profiles and their potential biological functions in PTC. Methods: High-throughput RNA sequencing was used to assess circRNA expression profiles in PTC, and quantitative real-time polymerase chain reaction (qRT-PCR) was used to validate dysregulated circRNAs. Receiver operating characteristic (ROC) curves were generated to evaluate the diagnostic value of circRNAs for PTC. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were employed to determine the biological functions of differentially expressed circRNAs. Bioinformatic analyses were applied to predict interactions between circRNAs and microRNAs (miRNAs), and a circRNA-miRNA-mRNA network was constructed using Cytoscape software. Results: We identified a number of differentially expressed circRNAs in PTC tissues compared with paired normal thyroid tissues, with chr5: 160757890-160763776–, chr12: 40696591-40697936+, chr7: 22330794-22357656-, and chr21: 16386665-16415895– being upregulated, and chr7: 91924203-91957214+, chr2: 179514891-179516047–, chr9: 16435553-16437522–, and chr22: 36006931-36007153– being downregulated. These findings were confirmed by qRT-PCR, and ROC curves indicated that they can serve as potential biomarkers for PTC. GO and KEGG pathway analyses showed that some of these circRNAs are related to cancers. Additionally, bioinformatic analyses revealed a potential competing-endogenous-RNA-regulating network among circRNAs, miRNAs, and mRNAs. Conclusions: Our study results depict the landscape of circRNA expression profiles in PTC and also provide potential biomarkers for PTC. Further functional and mechanistic studies of these circRNAs may improve our understanding of PTC tumorigenesis.

scholarly journals Complement C4-A and Plasminogen as Potential Biomarkers for Prediction of Papillary Thyroid Carcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Yichao Wang ◽  
Shengliang Zhou ◽  
Dun Wang ◽  
Tao Wei ◽  
Jingqiang Zhu ◽  
...  
Keyword(s):  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
Nodular Goiter ◽  
Diagnostic Value ◽  
Enzyme Linked Immunosorbent Assay ◽  
Papillary Thyroid ◽  
Serum Samples ◽  
Term Survival ◽  
Complement C4 ◽  
Potential Biomarkers

BackgroundEarly diagnosis and therapy of papillary thyroid carcinoma (PTC) is essential for reducing recurrence and improving the long-term survival. In this study, we aimed to investigate the proteome profile of plasma and screen unique proteins which could be used as a biomarker for predicting PTC.MethodsSerum samples were collected from 29 PTC patients and 29 nodular goiter (NG) patients. Five PTC serum samples and five NG serum samples were selected for proteome profiles by proteomics. Eight proteins in PTC and NG serum samples were selected for confirmation by enzyme-linked immunosorbent assay analysis. Receiver operating characteristic curves was used to evaluate the diagnostic value of potential biomarkers.ResultsComplement C4-A (C4A) and plasminogen (PLG) were significantly lower in serum samples of PTC patients compared with NG patients. C4A was observed to have excellent diagnostic accuracy for PTC, with a sensitivity of 91.67% and specificity of 83.33%. The diagnostic value of PLG for PTC was demonstrated by a sensitivity at 87.50% and specificity at 75.00%. The AUC for C4A and PLG was 0.97 ± 0.02 and 0.89 ± 0.05.ConclusionC4A and PLG appeared to be excellent potential biomarkers for the prediction of PTC.

scholarly journals Discovery and identification of potential biomarkers of papillary thyroid carcinoma

2009 ◽  
Vol 8 (1) ◽  
pp. 79 ◽  
Author(s):  
Yuxia Fan ◽  
Linan Shi ◽  
Qiuliang Liu ◽  
Rui Dong ◽  
Qian Zhang ◽  
...  
Keyword(s):  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
Papillary Thyroid ◽  
Potential Biomarkers

scholarly journals Circulating miR-25-3p and miR-451a May Be Potential Biomarkers for the Diagnosis of Papillary Thyroid Carcinoma

PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0132403 ◽  
Author(s):  
Min Li ◽  
Qinbin Song ◽  
Hang Li ◽  
Yi Lou ◽  
Lili Wang
Keyword(s):  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
Papillary Thyroid ◽  
Potential Biomarkers

The combination of TP53INP1, TP53INP2 and AXIN2: potential biomarkers in papillary thyroid carcinoma

Endocrine ◽  
2014 ◽  
Vol 48 (2) ◽  
pp. 712-717 ◽  
Author(s):  
Mengzi He ◽  
Yinlong Zhao ◽  
Heqing Yi ◽  
Hui Sun ◽  
Xiaodong Liu ◽  
...  
Keyword(s):  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
Papillary Thyroid ◽  
Potential Biomarkers
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