Oncotarget

Research Papers:

Identification of differentially expressed genes, lncRNAs and miRNAs which are associated with tumor malignant phenotypes in hepatoblastoma patients

Sida Liu, Fujing Xie, Xiaohong Xiang, Sinan Liu, Shunbin Dong, Kai Qu _ and Ting Lin

PDF  |  HTML  |  How to cite  |  Order a Reprint

Oncotarget. 2017; 8:97554-97564. https://doi.org/10.18632/oncotarget.22181

Metrics: PDF 925 views  |   HTML 2062 views  |   ?  


Abstract

Sida Liu1,*, Fujing Xie2,*, Xiaohong Xiang3, Sinan Liu4,3, Shunbin Dong3, Kai Qu3 and Ting Lin4,3

1Department of The Second General Surgery, Shaanxi Provincial People’s Hospital, Xi’an 710068, China

2Department of Pediatrics, Liaocheng People’s Hospital, Taishan Medical College, Liaocheng 252000, China

3Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China

4Department of Surgical Intensive Care Units, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China

*These authors have contributed equally to this work

Correspondence to:

Kai Qu, email: joanne8601@163.com

Ting Lin, email: 947119451@qq.com

Keywords: hepatoblastoma; lncRNA; miRNA; mRNA; malignant phenotype

Received: August 02, 2017     Accepted: August 24, 2017     Published: October 31, 2017

ABSTRACT

Hepatoblastoma (HB) is one of the most common hepatic malignancies in the pediatric population. HB are composed of a variety of tumors, which derived from different origins and had varying clinical outcomes. However, the unclear underlying mechanisms of HB limited exploring novel biomarkers and effective therapeutic targets. We searched microarray datasets on Gene Expression Omnibus (GEO) database and selected GSE75271 and GSE75283 datasets for comprehensive analysis. Weighted gene correlation network analysis (WGCNA) was employed to identify genes which were associated with tumor malignant phenotypes, including HB subtypes, Cairo classification and tumor stage. Coexpression analysis of identified genes was also performed and lncRNA-miRNA-mRNA network was finally conducted. Our results showed that a total of 22 lncRNAs, 13 miRNAs and 66 mRNAs were identified to be associated with tumor malignant phenotypes. Mechanistically, these molecules might promote the malignant phenotypes via regulating metabolic pathways. Among of them, 6 miRNAs (hsa-miR-106b, hsa-miR-130b, hsa-miR-19a, hsa-miR-19b, hsa-miR-20a and hsa-miR-301a), 8 lncRNAs (NR_102317, XR_245338, XR_428373, XR_924945, XR_929728, XR_931611, XR_935074 and XR_946696), and 6 mRNAs (EGFR, GAREM, INSIG1, KRT81, SAR1B and SDC1) were selected to conduct a lncRNA-miRNA-mRNA network. Taken together, our findings provide evidence for exploring molecular mechanisms of HB. Those identified malignant phenotype-associated molecules might be potential biomarkers and anti-cancer therapeutic targets in future.


Creative Commons License All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 License.
PII: 22181