CXCL1 expression is correlated with Snail expression and affects the prognosis of patients with gastric cancer

Xiang, Zhen; Jiang, Da-Ping; Xia, Guanggai; Wei, Zhe-Wei; Chen, Wei; Zhang, Changhua

doi:10.3892/ol.2015.3614

Cited by 24 publications

(28 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…EMT molecular reprogramming causes cells to switch from an immobile epithelial phenotype to a motile mesenchymal phenotype, leading to increased cell migration and invasion [5]. Although various signaling pathways associated with EMT during tumor progression have been studied [6][7][8], the signaling mechanisms involved in EMT in gastric cancer cells remain unclear.…”

Section: Introductionmentioning

confidence: 99%

Gastrokine 1 inhibits gastric cancer cell migration and invasion by downregulating RhoA expression

et al. 2016

View full text Add to dashboard Cite

Background We investigated whether GKN1, a gastric tumor suppressor, contributes to the progression of gastric cancer by regulating RhoA expression. Methods We analyzed the expression of GKN1, RhoA, miR-185, and miR-34a in 35 gastric cancer tissues, and compared their expression with T category and TNM stage. Cell migration and invasion, as well as the expression of epithelial-to-mesenchymal transition (EMT)-related proteins, were assessed in GKN1-and RhoA small interfering RNA (siRhoA)-transfected and recombinant-GKN1-treated AGS and MKN1 gastric cancer cells. Results Expression of RhoA protein and messenger RNA (mRNA) was increased in 15 (42.9 %) and 17 (48.6 %) of 35 gastric cancer tissues respectively, and was associated with higher T category and TNM stage. GKN1 expression was significantly decreased in 27 gastric cancers (77.1 %) with a higher T category, and was inversely correlated with RhoA mRNA expression. In AGS and MKN1 cells, GKN1 expression increased miR-185 and miR-34a expression and reduced RhoA mRNA and protein expression. A positive relationship between GKN1 and miR-34a and miR-185 expression and an inverse relationship between miR-34a and RhoA expression were observed in gastric cancer tissues. Cell migration and invasiveness were markedly decreased in GKN1-and siRhoA-transfected cells. GKN1 expression and silencing of RhoA decreased the expression of the proteins Snail, Slug, and vimentin. Furthermore, miR-185 and miR-34a silencing in MKN1 cells transfected with GKN1 stimulated cell migration and invasion, and increased the expression of EMT-related proteins. Conclusion Our data suggest that GKN1 may inhibit gastric cancer cell migration and invasion by downregulating RhoA expression in a miR-185-and miR-34a-dependent manner.

show abstract

Section: Introductionmentioning

confidence: 99%

Gastrokine 1 inhibits gastric cancer cell migration and invasion by downregulating RhoA expression

et al. 2016

View full text Add to dashboard Cite

show abstract

“…These genes include TNFAIP2 [19], FGFR4 [20][21][22], CXCL10 [23], CEP55 [24], CXCL1 [25,26], LIMK1 [27], LAMC2 [28], APOE [29], INHBA [30], OSMR [31,32], APOC1 [33], KLF4 [34], MMP14 [35], ADH1C [36], COL6A3 [37,38], CCT2 [39], NOL8 [40], EPHB4 [41] and MCM2 [42,43]. Ye et al reported that high expression of FGFR4 protein is associated with a poor prognosis in patients with advanced GC and expedites the progress of advanced GC [20].…”

Section: Discussionmentioning

confidence: 99%

A Novel Gene Expression-Based Prognostic Scoring System to Predict Survival in Gastric Cancer

Wang¹

2017

Gastroenterology

View full text Add to dashboard Cite

Analysis of gene expression patterns in gastric cancer (GC) can help to identify a comprehensive panel of gene biomarkers for predicting clinical outcomes and to discover potential new therapeutic targets. Here, a multi-step bioinformatics analytic approach was developed to establish a novel prognostic scoring system for GC. We first identified 276 genes that were robustly differentially expressed between normal and GC tissues, of which, 249 were found to be significantly associated with overall survival (OS) by univariate Cox regression analysis. The biological functions of 249 genes are related to cell cycle, RNA/ncRNA process, acetylation and extracellular matrix organization. A network was generated for view of the gene expression architecture of 249 genes in 265 GCs. Finally, we applied a canonical discriminant analysis approach to identify a 53-gene signature and a prognostic scoring system was established based on a canonical discriminant function of 53 genes. The prognostic scores strongly predicted patients with GC to have either a poor or good OS. Our study raises the prospect that the practicality of GC patient prognosis can be assessed by this prognostic scoring system.

show abstract

“…Over-expression of CXCR2 also predicted a poor OS and disease-free survival (DFS) in patients with high-grade serous ovarian cancer. [20] In gastric cancer, [38] researchers reported that patients with increased expression of GRO-α together with its receptor CXCR2 was significantly correlated with tumor progression and with more advanced TNM stages, and concordantly, patients with lower GRO-α and CXCR2 expressions had a relative better prognosis. Consistent with this, high expression of GRO-α in breast cancer is always related to an unfavorable survival.…”

Section: Discussionmentioning

confidence: 99%

Elevated expression of growth-regulated oncogene-alpha in tumor and stromal cells predicts unfavorable prognosis in pancreatic cancer

Lian¹,

Zhai²,

Wang³

et al. 2016

Medicine

View full text Add to dashboard Cite

Growth-regulated oncogene-alpha (GRO-α) has been reported to be over-expressed in a series of human cancers including colorectal cancer, melanoma, gastric cancer, hepatocellular carcinoma, and ovarian cancer and was known to regulate multiple biologic activities associated with tumor progression. But the role in human pancreatic cancer remains unclear. To examine the expression of GRO-α and its clinical significance in pancreatic cancer (PC), a total of 12 fresh PC specimens and 12 surrounding normal tissues to detect GRO-α mRNA expression were measured by quantitative real-time polymerase chain reaction (qRT-PCR). Immunohistochemical analysis of GRO-α protein was performed in 160 formalin-fixed, paraffin-embedded PC tissue samples and 68 control specimens, including 37 matched normal surgical margins and 31 benign pancreatic lesions. Kaplan–Meier survival and Cox regression analyses were performed to evaluate the prognosis of PC patients.Expression of GRO-α mRNA in PC tissues was significantly compared with that in adjacent normal tissues (1.399 ± 0.165 vs. 0.870 ± 0.103 t = 1.75, P = 0.012), GRO-α protein expression in cytoplasm of cancer cells and stroma was detected in 41.88% and 40.63% PC specimens, respectively, and was significantly higher than that in corresponding normal tissues (P = 0.008, P = 0.002, respectively). High GRO-α expression in the cytoplasm of cancer cells was related to tumor location (P = 0.047), tumor status (T classification; P = 0.001), distant metastasis (P < 0.001), and tumor node metastasis (TNM) stage (P < 0.001). High GRO-α expression in the stroma correlated with perineural invasion (P = 0.010), T classification (P = 0.006) and TNM stage (P = 0.004), and was marginally associated with metastasis (P = 0.056). Elevated expression of GRO-α in cytoplasm of cancer cells (hazard ratio [HR] = 5.730, P = 0.007) and stroma (HR = 3.120, P = 0.022) were independent prognostic factors of pancreatic cancer. T classification (HR = 2.130, P = 0.023), lymphatic metastasis (HR = 4.211, P = 0.009) and TNM classification (HR = 0.481, P = 0.031) were also prognostic predictors in PC patients.GRO-α expression was elevated in pancreatic cancer tissues and might be a potential therapeutic target and prognostic marker in patients with pancreatic cancer.

show abstract

CXCL1 expression is correlated with Snail expression and affects the prognosis of patients with gastric cancer

Cited by 24 publications

References 25 publications

Gastrokine 1 inhibits gastric cancer cell migration and invasion by downregulating RhoA expression

Gastrokine 1 inhibits gastric cancer cell migration and invasion by downregulating RhoA expression

A Novel Gene Expression-Based Prognostic Scoring System to Predict Survival in Gastric Cancer

Elevated expression of growth-regulated oncogene-alpha in tumor and stromal cells predicts unfavorable prognosis in pancreatic cancer

Contact Info

Product

Resources

About