Your browser doesn't support javascript.
loading
Identification of Potential lncRNAs and miRNAs as Diagnostic Biomarkers for Papillary Thyroid Carcinoma Based on Machine Learning.
Yang, Fei; Zhang, Jie; Li, Baokun; Zhao, Zhijun; Liu, Yan; Zhao, Zhen; Jing, Shanghua; Wang, Guiying.
Afiliação
  • Yang F; Department of Otolaryngology-Head and Neck Surgery, The Fourth Hospital of Hebei Medical University, Hebei, China.
  • Zhang J; Department of Otolaryngology-Head and Neck Surgery, The Fourth Hospital of Hebei Medical University, Hebei, China.
  • Li B; General Surgical Department, The Fourth Hospital of Hebei Medical University, Hebei, China.
  • Zhao Z; Department of Otolaryngology-Head and Neck Surgery, The Fourth Hospital of Hebei Medical University, Hebei, China.
  • Liu Y; Department of Otolaryngology-Head and Neck Surgery, The Fourth Hospital of Hebei Medical University, Hebei, China.
  • Zhao Z; Department of Otolaryngology-Head and Neck Surgery, The Fourth Hospital of Hebei Medical University, Hebei, China.
  • Jing S; Department of Otolaryngology-Head and Neck Surgery, The Fourth Hospital of Hebei Medical University, Hebei, China.
  • Wang G; General Surgical Department, The Fourth Hospital of Hebei Medical University, Hebei, China.
Int J Endocrinol ; 2021: 3984463, 2021.
Article em En | MEDLINE | ID: mdl-34335744
ABSTRACT

BACKGROUND:

Papillary thyroid carcinoma (PTC) accounts for most of the proportion of thyroid cancer (TC). The objective of this study was to identify diagnostic, differentially expressed long noncoding RNAs (lncRNAs) and microRNAs (miRNAs), contributing to understanding the epigenetics mechanism of PTC.

METHODS:

The data of lncRNA, miRNA, and mRNA were downloaded from the Cancer Genome Atlas (TCGA) dataset, followed by functional analysis of differentially expressed mRNAs. Optimal diagnostic lncRNA and miRNA biomarkers were identified via random forest. The regulatory network between optimal diagnostic lncRNA and mRNAs and optimal diagnostic miRNA and mRNAs was identified, followed by the construction of ceRNA network of lncRNA-mRNA-miRNA. Expression validation and diagnostic analysis of lncRNAs, miRNAs, and mRNAs were performed. Overexpression of ADD3-AS1 was performed in PTC-UC3 cell lines, and cell proliferation and invasion assay were used for investigating the role of ADD3-AS1 in PTC.

RESULTS:

A total of 107 differentially expressed lncRNAs, 81 differentially expressed miRNAs, and 515 differentially expressed mRNAs were identified. 11 lncRNAs and 6 miRNAs were regarded as the optimal diagnostic biomarkers for PTC. The epigenetic modifications via the above diagnostic lncRNAs and miRNAs were identified, including MIR181A2HG-FOXP2-hsa-miR-146b-3p, BLACAT1/ST7-AS1-RPS6KA5-hsa-miR-34a-5p, LBX2-AS1/MIR100HG-CDHR3-hsa-miR-34a-5p, ADD3-AS1-PTPRE-hsa-miR-9-5p, ADD3-AS1-TGFBR1-hsa-miR-214-3p, LINC00506-MMRN1-hsa-miR-4709-3p, and LOC339059-STK32A-hsa-miR-199b-5p. In the functional analysis, MMRN1 and TGFBR1 were involved in cell adhesion and endothelial cell migration, respectively. Overexpression of ADD3-AS1 inhibited cell growth and invasion in PTC cell lines.

CONCLUSION:

The identified lncRNAs/miRNAs/mRNA were differentially expressed between normal and cancerous tissues. In addition, identified altered lncRNAs and miRNAs may be potential diagnostic biomarkers for PTC. Additionally, epigenetic modifications via the above lncRNAs and miRNAs may be involved in tumorigenesis of PTC.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Int J Endocrinol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Int J Endocrinol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China