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Objective:To investigate the expression and mechanism of hepatocyte growth factor (HGF) in multiple myeloma (MM) based on the gene information in Oncomine database.Methods:Information about HGF study in Oncomine database was collected, and the changes in HGF expression level in MM were analyzed. Genecards database was used to collect HGF gene-related proteins, and STRING software was used to draw HGF-related protein network map. The physiological process of protein function enrichment was analyzed by using DAVID online tools. The relationship between HGF expression level and survival of MM patients was analyzed by using DRUGSURV database and its online tools to explore its clinical significance.Results:A total of 445 studies on HGF in different tumors were collected in Oncomine database. In 23 studies, the difference in HGF expression level between tumor tissues and normal tissues was statistically significant ( P < 0.05), including 10 items of increased HGF expression in tumor tissues and 13 items of decreased HGF expression in tumor tissues. In 4 datasets of 3 studies on the differential expression of HGF gene in MM and normal tissues in Oncomine database, the expression of HGF in MM tissues was higher than that in normal tissues (all P < 0.05). Twenty-five HGF-related proteins were collected in Genecards database, including SDC1, YWHAG, RAF1, etc. Protein function enrichment analysis showed that these proteins were mainly enriched in the negative regulation of hydrogen peroxide-mediated programmed cell death, the regulation of synaptic plasticity, the negative regulation of death domain receptors on extrinsic apoptotic signaling pathways, etc., and they were related to PI3K-AKT and tumor-related pathways. Survival analysis based on DRUGSURV database showed that there was no significant difference in overall survival rate between MM patients with high and low HGF expression ( P > 0.05). Conclusions:HGF gene may regulate the apoptosis of MM cells through PI3K-AKT pathway and play a role in the occurrence and development of MM. HGF may be a potential marker of MM, but its value in prognostic judgment needs further research.
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@#[Abstract] Objective: To explore the expression and biological significance of GABRE gene in colon cancer by mining data in the Oncomine and TCGA databases. Methods: The expression of the GABRE gene in colon cancer tissues and its correlation with the prognosis of patients were analyzed using the Oncomine and TCGA databases. The upstream miRNA targeting GABRE gene was identified using TargetScan, starBase, mirDIP, and miRWalk, and its expression and relationship with prognosis of colon cancer were analyzed. Furthermore, the GABRE co-expression genes were screened using the LinkedOmics database, and the GO enrichment analysis and KEGG pathway analysis were carried out. Results: The results showed that GABRE was highly expressed in colon cancer and indicated a poor prognosis (all P<0.05). The Venn diagram indicated that hsa-miR-370-3p targeted GABRE, and its expression was markedly increased in normal tissues (P<0.01). The expression of GABRE was positively correlated with the expressions of OGT and FAM156A genes, whereas negatively correlated with the expressions of ATP5A1 and MPDU1 genes (all P<0.05). GO biological process function and KEGG pathway enrichment analysis suggested that the GABRE gene may be involved in biological processes including protein dealkylation and regulation of cyclin-dependent protein kinase activity and enriched in taurine metabolism and NF-κB signaling pathway. Conclusions: GABRE gene is highly expressed in patients with colon cancer and indicates a poor prognosis, suggesting that the gene may serve as a potential novel target for the diagnosis and treatment of colon cancer.
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Objective: To explore the expression of Ephrin receptor A7 (EphA7) in the patients with small cell lung cancer (SCLC) and its clinical significance. Methods: The expression of EphA7 mRNA in SCLC cell lines and tissues was analyzed by the Cancer Cell Line Encyclopedia (CCLE) and Oncomine databases, respectively. Seventy-three paraffin-embedded lung cancer specimens and six adjacent normal lung tissue samples from SCLC patients who underwent lobectomy or pneumonectomy resection in Tianjin Medical University Affiliated Cancer Hospital and Institution from January 2011 to December 2014 were collected. The expression of EphA7 protein was assessed by immunohistochemistry. The relationship between the expression of EphA7 protein and other clinicopathological factors was analyzed by x2 test. Kaplan-Meier survival curve and COX proportional hazard model were used to analyze the relationship between these clinicopathological parameters (including EphA7 expression) and the prognosis of SCLC patients. Results: The expression of EphA7 mRNA in SCLC cell lines was the highest among the 1 457 cell lines included in CCLE database. Three datasets of EphA7 mRNA expression in SCLC tissues were obtained from the Oncomine database. Compared with the normal lung tissues and non-small cell lung cancer, the expression level of EphA7 mRNA was relatively higher in SCLC tissues. The positive expression rate of EphA7 protein reached 72.6% (53/73) in the 73 patients with SCLC. The expression of EphA7 protein was significantly associated with lymph node metastasis and TNM stage (both P < 0.05). After adjusting other factors, it was found that the positive expression of EphA7 protein was an independent prognostic factor for the overall survival (OS) of SCLC patients [hazard ratio (HR) = 2.369, 95% confidence interval (CI): 1.075-5.219, P < 0.05], while TNM stage was an independent prognostic factor for both OS (HR = 2.273, 95% CI: 1.252-4.124, P < 0.05) and progression-free survival (PFS) (HR = 1.898, 95% CI: 1.088-3.312, P < 0.05) of SCLC patients, respectively. Conclusion: EphA7 mRNA and protein are highly expressed in SCLC tissues. The expression of EphA7 protein and TNM stage may be independent factors for the prognosis of SCLC patients.
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Objective The objective of this study was to investigate the expression and function of TMEM45A( transmem-brane protein 45A)in clear cell renal cell carcinoma(ccRCC). Methods The data of TMEM45A in Oncomine database were extrac-ted by R language. The relationship between the expression level of TMEM45A and the stage or survival time of ccRCC was analyzed by GEPIA database. qRT-PCR and Western blot were used to detect the expression of TMEM45A in ccRCC tissues and renal cell carcinoma cell lines. After transfection of TMEM45A siRNA,the low expression ofTMEM45A in Caki-1 cells was confirmed by qRT-PCR and Western blot. Cell proliferation after knockdown TMEM45A was analyzed in Caki-1 cells by CCK8. The mechanism of action in the low expression of TMEM45A inhibited cell proliferation was analyzed in Caki-1 cells by qRT-PCR and Western blot. Results A total of 384 TMEM45A-related studies were collected in the Oncomine database,with 35 statistically significant differ-ences,25 of them elevated and 10 decreased. Four studies were associated with ccRCC with a total of 115 samples. The expression of TMEM45A was significantly increased in ccRCC(P<0. 05). It was also found that the high expression of TMEM45A was closely as-sociated with high ccRCC stage and poor prognosis( P<0. 05). When compared with the normal kidney tissues,TMEM45A mRNA was significantly increased in ccRCC tissues(P<0. 05). The expression of TMEM45A at levels of mRNA and protein in Caki-1 and 786-0 cells was higher than that in normal renal tubular epithelial HK-2 cells. After transfection with TMEM45A siRNA for 48h and 72h,the proliferation of Caki-1 cells was significantly decreased(P<0. 001). At the same time,it was found that the expression of PCNA and cyclin D1 at levels of mRNA and protein was significantly decreased ( P <0. 05). Conclusion The expression of TMEM45A is elevated in ccRCC and is associated with ccRCC staging and prognosis. It may be involved in the proliferation of renal carcinoma cells by regulating PCNA and Cyclin D1.