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. 2023;26(11):1990-2002.
doi: 10.2174/1386207326666221108112113.

Gastric Cancer Growth Modulated by circSNTB2/miR-6938-5p/G0S2 and PDCD4

Baohai Rong  1   2 , Xiqi Chen  2 , Guangdong Xie  2 , Letian Han  3 , Hanhan Chen  4 , Qingying Sun  4 , Yongkun Zhou  2
Affiliations

Gastric Cancer Growth Modulated by circSNTB2/miR-6938-5p/G0S2 and PDCD4

Baohai Rong et al. Comb Chem High Throughput Screen. 2023.

Abstract

Background: Gastric cancer (GC) is the third most common cause of cancer-related death worldwide. Increasing studies have indicated that circular RNAs (circRNAs) play critical roles in cancer progression. However, the precise mechanism and functions of most circRNAs are still unknown in gastric cancer.

Methods: In the present study, we aim to uncover the mechanism by which circRNAs regulate gastric cancer tumorigenesis. By analyzing the microarray data, we screened differential expressed circRNAs in the gastric cancer group and identified a down-regulated circRNA, hsa_circ_0040039 (circSNTB2). Mechanically, circSNTB2 served as a sponge for the miR-6938-5p and up-regulated its expression.

Results: Meanwhile, G0/G1 switch gene 2 (G0S2) and programmed cell death gene 4 (PDCD4) were identified to be the aim genes of miR-6938-5p, constructing circSNTB2/miR-6938-5p/G0S2 and PDCD4 pathways.

Conclusion: Taken together, our findings demonstrated that circSNTB2 plays an essential role in gastric cancer by regulating miR-6938-5p through G0S2 and PDCD4 genes. CircSNTB2 could be a promising biomarker for GC diagnosis and targeted therapy.

Keywords: G0S2; Gastric cancer; PDCD4; biomarker; circSNTB2; miR-6938-5p.

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Conflict of interest statement

The authors declare no conflict of interest financial or otherwise.

Figures

Fig. (1)
Fig. (1)
Heatmap and volcano plots for DECs based on GSE78092. A, Heatmap for top 50 statistically significant circRNAs with 6 upregulated circRNAs and 44 downregulated circRNAs. B, Volcano plot for 199 DECs. Red spots represent 53 upregulated circRNAs and blue spots represent 146 down regulated circRNAs. Black spots represent circRNAs without statistically significant change (|log2(fold change)| >1 and P-value <0.05).
Fig. (2)
Fig. (2)
Interaction network about top 10 upregulated circRNAs with target miRNAs. Yellow spots represent circRNAs, pink spots represent miRNAs interacted with 4 circRNAs, blue spots represent miRNAs interacted with 3 circRNAs, green spots represent miRNAs interacted with 2 circRNAs and purple spots represent miRNAs interacted with 1 circRNAs.
Fig. (3)
Fig. (3)
Interaction network about top 10 downregulated circRNAs with target miRNAs. Purple spots represent circRNAs, red spot represents miRNA interacted with 5 circRNAs, orange spot represents miRNA interacted with 4 circRNAs, yellow spots represent miRNAs interacted with 2 circRNAs and blue spots represent miRNAs interacted with 1 circRNAs.
Fig. (4)
Fig. (4)
Volcano map for 1959 differentially expressed miRNAs based on GSE124158. Red spots represent 79 upregulated miRNAs and blue spots represent 1880 down-regulated miRNAs. Black spots represent miRNAs without statistically significant change.
Fig. (5)
Fig. (5)
Violin plot about hsa-miR-6838-5p expression profile. Yellow module data from normal people while blue module from gastric cancer patients.
Fig. (6)
Fig. (6)
Venn diagram based on hsa-miR-6838-5p target genes from four databases (Targetscan, miRDB, miRWalk, Encori).
Fig. (7)
Fig. (7)
GO and KEGG analysis of 700 target genes. (A), BP; (B), CC; (C), MF and (D), KEGG pathway.
Fig. (8)
Fig. (8)
Venn diagram based on 700 target genes and 908 differential genes from GEPIA.
Fig. (9)
Fig. (9)
Kaplan-Meier curves for survival analyses of PDCD4 and G0S2. Produced by Kaplan Meier-plotter database.
Fig. (10)
Fig. (10)
Relative expression of PDCD4 and G0S2 compared with gastric tumor and peritumoral tissue. (A), PDCD4; (B), G0S2.
Fig. (11)
Fig. (11)
The different expression of PDCD4 and G0S2. (A), PDCD4; (B), G0S2. P roduced by GEPIA.
See this image and copyright information in PMC

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