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Clinicopathological value and underlying molecular mechanism of annexin A2 in 992 cases of thyroid carcinoma

Authors :
Su-Ning Huang
Dan-Ming Wei
Gang Chen
Yu-Yan Pang
Wen-wen Xing
Minhua Rong
Xiao-jiao Li
Yong-Ying Qin
Xiao-Zhun Tang
Yun He
Source :
Computational Biology and Chemistry. 86:107258
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

Thyroid carcinoma (THCA) is one of the most frequent endocrine cancers and has increasing morbidity. Annexin A2 (ANXA2) has been found to be highly expressed in various cancers; however, its expression level and potential mechanism in THCA remain unknown. This study investigated the clinicopathological value and primary molecular machinery of ANXA2 in THCA.Public RNA-sequencing and microarray data were obtained and analyzed with ANXA2 expression in THCA and corresponding non-cancerous thyroid tissue. A Pearson correlation coefficient calculation was used for the acquisition of ANXA2 coexpressed genes, while edgR, limma, and Robust Rank Aggregation were employed for differentially expressed gene (DEG) in THCA. The probable mechanism of ANXA2 in THCA was predicted by gene ontology and pathway enrichment. A dual-luciferase reporter assay was employed to confirm the targeting relationships between ANXA2 and its predicted microRNA (miRNA).Expression of ANXA2 was significantly upregulated in THCA tissues with a summarized standardized mean difference of 1.09 (P0.0001) based on 992 THCA cases and 589 cases of normal thyroid tissue. Expression of ANXA2 was related to pathologic stage. Subsequently, 1442 genes were obtained when overlapping 4542 ANXA2 coexpressed genes with 2248 DEGs in THCA; these genes were mostly enriched in pathways of extracellular matrix-receptor interaction, cell adhesion molecules, and complement and coagulation cascades. MiR-23b-3p was confirmed to target ANXA2 by dual-luciferase reporter assay.Upregulated expression of ANXA2 may promote the malignant biological behavior of THCA by affecting the involving pathways or being targeted by miR-23b-3p.

Details

ISSN :
14769271
Volume :
86
Database :
OpenAIRE
Journal :
Computational Biology and Chemistry
Accession number :
edsair.doi.dedup.....29f47566d97d360120ee80191d75f5cd