Expression and gene regulatory network of SNHG1 in hepatocellular carcinoma

被引:7
|
作者
Zheng, Chaoran [1 ]
Yu, Shicheng [1 ,2 ,3 ]
机构
[1] Wuhan Univ, Sch Pharmaceut Sci, Key Lab Combinatorial Biosynth & Drug Discovery, Wuhan 430071, Peoples R China
[2] Chinese Acad Sci, Guangzhou Inst Biomed & Hlth, 190 Kaiyuan Ave,Guangzhou Sci Pk, Guangzhou 510530, Peoples R China
[3] Bioland Lab, Guangzhou Regenerat Med & Hlth Guangdong Lab, Guangzhou 510005, Peoples R China
关键词
LIHC; HCC; TCGA; ceRNA; SNHG1; Survival; HUMAN PROTEIN ATLAS; LIVER-CANCER; RNA; LNCRNA; E2F8; CYTOSCAPE; PACKAGE; FANCE;
D O I
10.1186/s12920-021-00878-2
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: Small nucleolar RNA host gene 1 (SNHG1), a long noncoding RNA (lncRNA), is a transcript that negatively regulates tumour suppressor genes, such as p53. Abnormal SNHG1 expression is associated with cell proliferation and cancer. We used sequencing data downloaded from Genomic Data Commons to analyse the expression and interaction networks of SNHG1 in hepatocellular carcinoma (HCC). Methods: Expression was examined using the limma package of R and verified by Gene Expression Profiling Interactive Analysis. We also obtained miRNA expression data from StarBase to determine the lncRNA-miRNA-mRNA-related RNA regulatory network in HCC. Kaplan-Meier (KM) analysis was performed using the survival package of R. Gene Ontology annotation of genes was carried out using Metascape. Results: We found that SNHG1 was overexpressed and often amplified in HCC patients. In addition, SNHG1 upregulation was associated with the promotion of several primary biological functions, including cell proliferation, transcription and protein binding. Moreover, we found similar trends of small nucleolar RNA host gene 1 (SNHG1), E2F8 (E2F transcription factor 8), FANCE (FA complementation group E) and LMNB2 (encodes lamin B2) expression. In the SNHG1-associated network, high expression levels of SNHG1 (log-rank P value = 0.0643), E2F8 (log-rank P value = 0.000048), FANCE (log-rank P value = 0.00125) and LMNB2 (log-rank P value = 0.0392) were significantly associated with poor survival. Single-cell analysis showed that E2F8 may play an important role in tumorigenesis or cancer development. Conclusions: Our results highlight the benefit of utilizing multiple datasets to understand the functional potential regulatory networks of SNHG1 and the role of SNHG1 in tumours.
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页数:10
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