Pepsinogen C expression–related lncRNA/circRNA/mRNA profile and its co-mediated ceRNA network in gastric cancer

Although ignored in the past, with the recent deepening of research, significant progress has been made in the field of non-coding RNAs (ncRNAs). Accumulating evidence has revealed that microRNA (miRNA) response elements regulate RNA. Long ncRNAs, circular RNAs, pseudogenes, miRNAs, and messenger RNAs (mRNAs) form a competitive endogenous RNA (ceRNA) network that plays an essential role in cancer and cardiovascular, neurodegenerative, and autoimmune diseases. Gastric cancer (GC) is one of the most common cancers, with a high degree of malignancy. Considerable progress has been made in understanding the molecular mechanism and treatment of GC, but GC’s mortality rate is still high. Studies have shown a complex ceRNA crosstalk mechanism in GC. lncRNAs, circRNAs, and pseudogenes can interact with miRNAs to affect mRNA transcription. The study of the involvement of ceRNA in GC could improve our understanding of GC and lead to the identification of potential effective therapeutic targets. The research strategy for ceRNA is mainly to screen the different miRNAs, lncRNAs, circRNAs, pseudogenes, and mRNAs in each sample through microarray or sequencing technology, predict the ceRNA regulatory network, and, finally, conduct functional research on ceRNA. In this review, we briefly discuss the proposal and development of the ceRNA hypothesis and the biological function and principle of ceRNAs in GC, and briefly introduce the role of ncRNAs in the GC’s ceRNA network.

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ceRNA network construction and comparison of gastric cancer with or without Helicobacter pylori infection

Journal of Cellular Physiology ◽

10.1002/jcp.27467 ◽

2018 ◽

Vol 234 (5) ◽

pp. 7128-7140 ◽

Cited By ~ 9

Author(s):

Yanyan Liu ◽

Jingyu Zhu ◽

Xiaoli Ma ◽

Shuyi Han ◽

Dongjie Xiao ◽

...

Keyword(s):

Gastric Cancer ◽

Helicobacter Pylori ◽

Helicobacter Pylori Infection ◽

Network Construction ◽

Cerna Network

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Integrated Analysis of lncRNA-Associated ceRNA Network Identifies Two lncRNA Signatures as a Prognostic Biomarker in Gastric Cancer

Disease Markers ◽

10.1155/2021/8886897 ◽

2021 ◽

Vol 2021 ◽

pp. 1-16

Author(s):

Shuyan Zhang ◽

Shanshan Li ◽

Jian-Lin Guo ◽

Ningyi Li ◽

Cai-Ning Zhang ◽

...

Keyword(s):

Gastric Cancer ◽

Overall Survival ◽

Proportional Hazards ◽

Cox Regression ◽

Cox Proportional Hazards ◽

Integrated Analysis ◽

Survival Prediction ◽

Survival Prognosis ◽

Cox Regression Analysis ◽

Cerna Network

Background. Gastric cancer (GC) is a malignant tumour that originates in the gastric mucosal epithelium and is associated with high mortality rates worldwide. Long noncoding RNAs (lncRNAs) have been identified to play an important role in the development of various tumours, including GC. Yet, lncRNA biomarkers in a competing endogenous RNA network (ceRNA network) that are used to predict survival prognosis remain lacking. The aim of this study was to construct a ceRNA network and identify the lncRNA signature as prognostic factors for survival prediction. Methods. The lncRNAs with overall survival significance were used to construct the ceRNA network. Function enrichment, protein-protein interaction, and cluster analysis were performed for dysregulated mRNAs. Multivariate Cox proportional hazards regression was performed to screen the potential prognostic lncRNAs. RT-qPCR was used to measure the relative expression levels of lncRNAs in cell lines. CCK8 assay was used to assess the proliferation of GC cells transfected with sh-lncRNAs. Results. Differentially expressed genes were identified including 585 lncRNAs, 144 miRNAs, and 2794 mRNAs. The ceRNA network was constructed using 35 DElncRNAs associated with overall survival of GC patients. Functional analysis revealed that these dysregulated mRNAs were enriched in cancer-related pathways, including TGF-beta, Rap 1, calcium, and the cGMP-PKG signalling pathway. A multivariate Cox regression analysis and cumulative risk score suggested that two of those lncRNAs (LINC01644 and LINC01697) had significant prognostic value. Furthermore, the results indicate that LINC01644 and LINC01697 were upregulated in GC cells. Knockdown of LINC01644 or LINC01697 suppressed the proliferation of GC cells. Conclusions. The authors identified 2-lncRNA signature in ceRNA regulatory network as prognostic biomarkers for the prediction of GC patient survival and revealed that silencing LINC01644 or LINC01697 inhibited the proliferation of GC cells.

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Gastric cancer in a Caucasian population: Role of pepsinogen C genetic variants

World Journal of Gastroenterology ◽

10.3748/wjg.v12.i31.5033 ◽

2006 ◽

Vol 12 (31) ◽

pp. 5033 ◽

Cited By ~ 11

Author(s):

Ana L Pinto-Correia

Keyword(s):

Gastric Cancer ◽

Genetic Variants ◽

Caucasian Population ◽

Pepsinogen C

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H19 promotes the gastric carcinogenesis by sponging miR-29a-3p: evidence from lncRNA–miRNA–mRNA network analysis

Epigenomics ◽

10.2217/epi-2020-0114 ◽

2020 ◽

Vol 12 (12) ◽

pp. 989-1002 ◽

Cited By ~ 1

Author(s):

Jianxin Li ◽

Xin Wang ◽

Yinchun Wang ◽

Qingqiang Yang

Keyword(s):

Gastric Cancer ◽

Network Analysis ◽

Gastric Carcinogenesis ◽

Clinical Treatment ◽

Competing Endogenous Rna ◽

Bioinformatic Tools ◽

Cerna Network

Aim: To identify novel competing endogenous RNA (ceRNA) network correlated with the prognosis of gastric cancer (GC) patients. Materials & methods: We systematically analyzed the aberrantly expressed genes in human GC to construct a ceRNA network by using multiple bioinformatic tools. Results: Aberrantly expressed mRNAs in GC were identified. By means of stepwise reverse prediction and validation from mRNA to lncRNA, a ceRNA network comprised of H19, miR-29a-3p, COL3A1, COL5A2, COL1A2 and COL4A1 was constructed, and all genes in the network are significantly correlated with the prognosis of GC patients. Conclusion: The present study successfully constructed a GC related ceRNA network, and provided potential targets for GC clinical treatment.

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