Accumulating evidence has revealed that aberrantly expressed long non-coding transcripts are involved in the development and progression of colorectal cancer (CRC). Small nucleolar RNA host gene 3 (SNHG3) is a newly identified lncRNA, and little is known about its clinical significance and biological functions in the development of CRC. In the present study, we found that the expression of SNHG3 was significantly upregulated in CRC, and upregulation of SNHG3 predicted poor prognosis for patients with CRC as determined through analysis of the data obtained from TCGA database. Gain-of function and loss-of function assays revealed that SNHG3 markedly promoted cellular proliferation of CRC cells. Gene Set Enrichment Analysis (GSEA) suggested that high expression of SNHG3 was positively associated with c-Myc and its targets genes. Furthermore, ectopic overexpression of SNHG3 increased the expression of c-Myc and its target genes, whereas inhibition of SNHG3 had opposite effect on the expression of c-Myc and its targets. Mechanistic investigations demonstrated that SNHG3 functioned as a competing endogenous RNA (ceRNA) to ‘sponge’ miR-182-5p, thus leading to the release of c-Myc from miR-182-5p and modulating the expression of c-Myc. In conclusion, SNHG3 promoted CRC progression via sponging miR-182-5p and upregulating c-Myc and its target genes.

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Voltage-gated sodium channels (VGSCs), which are aberrantly expressed in several human cancers, affect cancer cell behavior; however, their role in gastric cancer (GC) and the link between these channels and tumorigenic signaling remain unclear. The aims of this study were to determine the clinicopathological significance and role of the VGSC Nav 1.7 in GC progression and to investigate the associated mechanisms. Here, we report that the SCN9A gene encoding Nav 1.7 was the most abundantly expressed VGSC subtype in GC tissue samples and two GC cell lines (BGC-823 and MKN-28 cells). SCN9A expression levels were also frequently found to be elevated in GC samples compared to nonmalignant tissues by real-time PCR. In the 319 GC specimens evaluated by immunohistochemistry, Nav 1.7 expression was correlated with prognosis, and transporter Na(+) /H(+) exchanger-1 (NHE1) and oncoprotein metastasis-associated in colon cancer-1 (MACC1) expression. Nav 1.7 suppression resulted in reduced voltage-gated sodium currents, decreased NHE1 expression, increased extracellular pH and decreased intracellular pH, and ultimately, reduced invasion and proliferation rates of GC cells and growth of GC xenografts in nude mice. Nav 1.7 inhibition led to reduced MACC1 expression, while MACC1 inhibition resulted in reduced NHE1 expression in vitro and in vivo. Mechanistically, the suppression of Nav 1.7 decreased NF-κB p65 nuclear translocation via p38 activation, thus reducing MACC1 expression. Downregulation of MACC1 decreased c-Jun phosphorylation and subsequently reduced NHE1 expression, whereas the addition of hepatocyte growth factor (HGF), a c-Met physiological ligand, reversed the effect. These results indicate that Nav 1.7 promotes GC progression through MACC1-mediated upregulation of NHE1. Therefore, Nav 1.7 is a potential prognostic marker and/or therapeutic target for GC.

Tribbles homolog 3 (TRIB3) plays important roles in many types of malignancies. However, whether TRIB3 is involved in the development or progression of gastric cancer (GC) remains unclear. In this study, we analyzed TRIB3 expression in GC tissues from 191 GC patients categorized with stage I to Ⅳ disease, to examine the role of TRIB3 in GC, and examined the relationship between TRIB3 and tumor angiogenesis. We found that TRIB3 expression was significantly higher in GC tissues than that in adjacent non-tumor tissues. TRIB3 expression was associated with VEGF-A and tumor microvessel density, as well as overall TNM stage, T stage, N stage, and distant metastasis in GC tissues. Furthermore, TRIB3 silencing downregulated VEGF-A expression in GC cells, which subsequently suppressed endothelial cell recruitment and vessel formation. In conclusion, overexpression of TRIB3 is associated with tumor angiogenesis and a poor prognosis in patients with GC. Our findings indicate that TRIB3 is a promising target for anti-angiogenic therapy in GC.

Endothelium-dependent angiogenesis is thought to be a crucial step in cancer progression. We previously reported that metastasis-associated in colon cancer-1 (MACC1) contributed to the vasculogenic mimicry in gastric cancer (GC), but it remains unknown whether MACC1 promotes endothelium-dependent angiogenesis of GC and whether TWIST1 is involved in this process. In the present study, we detected MACC1 expression and microvessel density (MVD) by immunohistochemistry in 159 patients with stage I-III GC, and investigated the role of TWIST1 and vascular endothelial growth factor A (VEGF-A) in MACC1-induced endothelium-dependent angiogenesis using nude mice with GC xenografts, and human umbilical vein endothelial cells (HUVECs) that were co-cultured with conditioned media from overexpression and interference MACC1 GC cells. We found that MACC1 expression was positively correlated with an increased MVD and tumor recurrence in GC patients. In GC xenograft models, MACC1 elevated MVD and upregulated the expression of VEGF-A as well as accelerated tumor growth. In addition, MACC1 obviously increased the expression of TWIST1 and induced tube-like formation of HUVECs, whereas attenuation of TWIST1 suppressed the protein expression of VEGF-A and repealed the effect of MACC1 on tube formation. Our findings shed light on the function of MACC1 in endothelium-dependent angiogenesis of GC and suggest potential prognostic and therapeutic value.

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Objective. To investigate the diagnostic gene biomarkers for hepatocellular carcinoma (HCC) and identify the immune cell infiltration characteristics in this pathology. Methods. Five gene expression datasets were obtained through Gene Expression Omnibus (GEO) portal. After batch effect removal, differentially expressed genes (DEGs) were conducted between 209 HCC and 146 control tissues and functional correlation analyses were performed. Two machine learning algorithms were used to develop diagnostic signatures. The discriminatory ability of the gene signature was measured by AUC. The expression levels and diagnostic value of the identified biomarkers in HCC were further validated in three independent external cohorts. CIBERSORT algorithm was adopted to explore the immune infiltration of HCC. A correlation analysis was carried out between these diagnostic signatures and immune cells. Results. A total of 375 DEGs were identified. GPC3, ACSM3, SPINK1, COL15A1, TP53I3, RRAGD, and CLDN10 were identified as the early diagnostic signatures of HCC and were all validated in external cohorts. The corresponding results of AUC presented excellent discriminatory ability of these feature genes. The immune cell infiltration analysis showed that multiple immune cells associated with these biomarkers may be involved in the development of HCC. Conclusion. This study indicates that GPC3, ACSM3, SPINK1, COL15A1, TP53I3, RRAGD, and CLDN10 are potential biomarkers associated with immune infiltration in HCC. Combining these genes can be used for early detection of HCC and evaluating immune cell infiltration. Further studies are needed to explore their roles underlying the occurrence of HCC.