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Preliminary screening and analysis of metastasis-related lncRNA and co-expressed papillary thyroid carcinoma mRNA.

ABSTRACT: The objective of the present study was to investigate the long non-coding RNA (lncRNA) and mRNA expression profiles that are associated with the invasion and metastasis of papillary thyroid carcinoma (PTC). Transwell invasion assays were used to screen three highly invasive sub-strains of the human PTC IHH4 cell line: IHH4-M1, IHH4-M2 and IHH4-M3. In addition, tumor-bearing nude mice were used to identify the invasive and metastatic capacity of the three sub-strains. Agilent lncRNA microarray chips were used to screen 795 differentially expressed lncRNAs and 788 differentially expressed mRNAs. A total of 10 lncRNAs and 10 mRNAs were randomly selected for RT-qPCR validation to confirm that the results were consistent with the microarray chips, suggesting that the results of the microarray chip analysis were relatively accurate. Gene ontology enrichment-based cluster analysis revealed that the differentially expressed genes were mainly associated with steroid biosynthesis, bioadhesion, intercellular adhesion and other metastasis-associated biological processes. The results of the pathway cluster analysis identified that the differentially expressed genes were associated with tumor metastasis-associated signaling pathways, including the cholesterol metabolic signaling pathway, the sterol regulatory element-binding protein signaling pathway and the integrin signaling pathway, suggesting that lncRNA may regulate PTC metastasis through various signaling pathways. The present study screened and constructed PTC metastasis-associated lncRNA and mRNA expression profiles, and it provides a molecular basis for the future study of high-risk molecular markers of PTC.

SUBMITTER: Ge MH

PROVIDER: S-EPMC6096112 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

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Project description:BackgroundPapillary thyroid carcinoma (PTC) is characterized by frequent metastases to cervical lymph nodes (CLNs), and the presence of lymph node metastasis at diagnosis has a significant impact on the surgical approach. Therefore, we established a radiomic signature to predict the CLN status of PTC patients using preoperative thyroid ultrasound, and investigated the association between the radiomic features and underlying molecular characteristics of PTC tumors.MethodsIn total, 270 patients were enrolled in this prospective study, and radiomic features were extracted according to multiple guidelines. A radiomic signature was built with selected features in the training cohort and validated in the validation cohort. The total protein extracted from tumor samples was analyzed with LC/MS and iTRAQ technology. Gene modules acquired by clustering were chosen for their diagnostic significance. A radiogenomic map linking radiomic features to gene modules was constructed with the Spearman correlation matrix. Genes in modules related to metastasis were extracted for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, and a protein-protein interaction (PPI) network was built to identify the hub genes in the modules. Finally, the screened hub genes were validated by immunohistochemistry analysis.ResultsThe radiomic signature showed good performance for predicting CLN status in training and validation cohorts, with area under curve of 0.873 and 0.831 respectively. A radiogenomic map was created with nine significant correlations between radiomic features and gene modules, and two of them had higher correlation coefficient. Among these, MEmeganta representing the upregulation of telomere maintenance via telomerase and cell-cell adhesion was correlated with 'Rectlike' and 'deviation ratio of tumor tissue and normal thyroid gland' which reflect the margin and the internal echogenicity of the tumor, respectively. MEblue capturing cell-cell adhesion and glycolysis was associated with feature 'minimum calcification area' which measures the punctate calcification. The hub genes of the two modules were identified by protein-protein interaction network. Immunohistochemistry validated that LAMC1 and THBS1 were differently expressed in metastatic and non-metastatic tissues (p=0.003; p=0.002). And LAMC1 was associated with feature 'Rectlike' and 'deviation ratio of tumor and normal thyroid gland' (p<0.001; p<0.001); THBS1 was correlated with 'minimum calcification area' (p<0.001).ConclusionsThe radiomic signature proposed here has the potential to noninvasively predict the CLN status in PTC patients. Merging imaging phenotypes with genomic data could allow noninvasive identification of the molecular properties of PTC tumors, which might support clinical decision making and personalized management.

Project description:The incidence rate of papillary thyroid carcinoma (PTC) has rapidly increased in the recent decades, and the microRNA (miRNA) is one of the potential biomarkers in this cancer. Despite good prognosis, certain features such as lymph node metastasis (LNM) and BRAF V600E mutation are associated with a poor outcome. More than 50% of PTC patients present with LNM and BRAF V600E is the most common mutation identified in this cancer. The molecular mechanisms underlying these features are yet to be elucidated. This study aims to elucidate miRNA-genes interaction networks in PTC with or without LNM and to determine the association of BRAF V600E mutation with miRNAs and genes expression profiles. Next generation sequencing was performed to characterize miRNA and gene expression profiles in 20 fresh frozen tumor and the normal adjacent tissues of PTC with LNM positive (PTC LNM-P) and PTC without LNM (PTC LNN). BRAF V600E was genotyped using Sanger sequencing. Bioinformatics integration and pathway analysis were performed to determine the regulatory networks involved. Based on network analysis, we then investigated the association between miRNA and gene biomarkers, and pathway enrichment analysis was performed to study the role of candidate biomarkers. We identified 138 and 43 significantly deregulated miRNAs (adjusted p value?<?0.05; log2 fold change???-1.0 or ?1.0) in PTC LNM-P and PTC LNN compared to adjacent normal tissues, respectively. Ninety-six miRNAs had significant expression ratios of 3p-to-5p in PTC LNM-P as compared to PTC LNN. In addition, ribosomal RNA-reduced RNA sequencing analysis revealed 699 significantly deregulated genes in PTC LNM-P versus normal adjacent tissues, 1,362 genes in PTC LNN versus normal adjacent tissue, and 1,576 genes in PTC LNM-P versus PTC LNN. We provide the evidence of miRNA and gene interactions, which are involved in LNM of papillary thyroid cancer. These findings may lead to better understanding of carcinogenesis and metastasis processes. This study also complements the existing knowledge about deregulated miRNAs in papillary thyroid carcinoma development.

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Preliminary screening and analysis of metastasis-related lncRNA and co-expressed papillary thyroid carcinoma mRNA.

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