Increased MMP-21 expression is associated with poor overall survival of patients with gastric cancer

2012 ◽  
Vol 30 (1) ◽  
Author(s):  
Tao Wu ◽  
Yi Li ◽  
Jianguo Lu ◽  
Qing Qiao ◽  
Guoqiang Bao ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Poor Overall Survival

scholarly journals Long Noncoding RNA Lnc-TLN2-4:1 Suppresses Gastric Cancer Metastasis and Is Associated with Patient Survival

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Yuyun Wu ◽  
Ningbo Hao ◽  
Suming Wang ◽  
Xin Yang ◽  
Yufeng Xiao ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Noncoding Rna ◽  
Tumor Metastasis ◽  
Cancer Metastasis ◽  
Survival Rates ◽  
Migration And Invasion ◽  
Poor Overall Survival ◽  
Low Expression ◽  
Overall Survival Rates

Gastric cancer (GC) is one of the most common malignancies worldwide, and the tumor metastasis leads to poor outcomes of GC patients. Long noncoding RNAs (lncRNAs) have emerged as new regulatory molecules that play a crucial role in tumor metastasis. However, the biological function and underlying mechanism of numerous lncRNAs in GC metastasis remain largely unclear. Here, we report a novel lncRNA, lnc-TLN2-4:1, whose expression is decreased in GC tissue versus matched normal tissue, and its low expression is involved in the lymph node and distant metastases of GC, as well as poor overall survival rates of GC patients. We further found that lnc-TLN2-4:1 inhibits the ability of GC cells to migrate and invade but does not influence GC cell proliferation and confirmed that lnc-TLN2-4:1 is mainly located in the cytoplasm of GC cells. We then found that lnc-TLN2-4:1 increases the mRNA and protein expression of TLN2 in GC cells and there is a positive correlation between the expression of lnc-TLN2-4:1 and TLN2 mRNA in GC tissue. Collectively, we identified a novel lncRNA, lnc-TLN2-4:1, in GC, where lnc-TLN2-4:1 represses cell migration and invasion. The low expression of lnc-TLN2-4:1 is associated with poor overall survival rates of GC patients. These suggest that lnc-TLN2-4:1 may be a tumor suppressor during GC metastasis.

scholarly journals TBL1XR1 Is Highly Expressed in Gastric Cancer and Predicts Poor Prognosis

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Fang Liu ◽  
Yuan He ◽  
Qinghua Cao ◽  
Ni Liu ◽  
Wenhui Zhang
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Lymph Node ◽  
Cox Regression ◽  
Biological Significance ◽  
High Expression ◽  
Human Gastric Cancer ◽  
Mrna Levels ◽  
Poor Overall Survival ◽  
Cox Regression Analysis

Objective. To investigate the expression of transducin- (β-) like 1 X-linked receptor 1 (TBL1XR1) in human gastric cancer (GC) and its correlation with prognostic and biologic significance.Methods. TBL1XR1 mRNA expression was analyzed in gastric cancer using a microarray dataset (GSE2701) from the Gene Expression Omnibus (GEO). Immunohistochemistry (IHC) analysis of TBL1XR1 was performed on GC tissue microarray (TMA) to assess its prognostic and biological significance in 334 patients of GC.Results. Analysis of GSE2701 showed that the mRNA levels of TBL1XR1 were significantly elevated in primary gastric tumor and lymph node tissues than normal gastric tissues (P<0.05). The same results of TBL1XR1 protein level were observed by IHC staining in 334 GC tissues. 204 of 334 (60.1%) primary gastric cancer tissues showed high expression of TBL1XR1 protein. TBL1XR1 overexpression was significantly correlated with lymph node metastasis (P=0.000) and advanced TNM stage (P=0.001). Moreover, high levels of TBL1XR1 predicted worse overall survival (P=0.015). Multivariate Cox regression analysis indicated that high expression of TBL1XR1 was an independent prognostic factor for poor overall survival (HR, 0.525; 95% confidence interval, 0.367–0.752;P=0.005).Conclusion. This present study demonstrates that TBL1XR1 is overexpressed in gastric cancer and may be a potential predictor and therapeutic target for GC patients.

scholarly journals Clinicopathological and prognostic significance of metastasis-associated in colon cancer-1 in gastric cancer: A meta-analysis

2019 ◽  
Vol 34 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Yan Jin ◽  
Kun Zhou ◽  
Wenjing Zhao ◽  
Rongbo Han ◽  
Xinying Huo ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Colon Cancer ◽  
Overall Survival ◽  
Cancer Patients ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Clinicopathological Features ◽  
Poor Overall Survival ◽  
Expression Levels ◽  
Gastric Cancer Patients

Background: The gene metastasis-associated in colon cancer-1 (MACC1) has been reported to be overexpressed in diverse human malignancies, and an increasing amount of evidence suggests that its overexpression is associated with the development and progression of many human tumors. However, the prognostic and clinicopathological value of MACC1 in gastric cancer remains inconclusive. Therefore, we conducted this meta-analysis to investigate the effect of positive MACC1 expression on clinicopathological features and survival outcomes in gastric cancer. Methods: Medline, Web of Science, and EMBASE databases were searched for relevant articles published up to 10 April 2018. The correlation of MACC1 expression levels with overall survival and clinicopathological features was analyzed. Results: In this meta-analysis, nine studies with a total of 2103 gastric cancer patients were included. Our results showed that high expression of MACC1 was significantly related to a poor overall survival. Moreover, our meta-analysis showed that MACC1 overexpression was significantly linked to distant metastasis and vascular invasion. There were no significant correlations between positive MACC1 expression and gender, localization, tumor-node-metastasis (TNM) stage, tumor extent (T stage) and lymph node involvement (N stage) Conclusions: MACC1 expression levels can serve as a novel prognostic factor in gastric cancer patients.

scholarly journals Expression of ASPN with Prognostic Values in Gastric Cancer: A Study Based on TCGA Data

2021 ◽  
Author(s):  
wen chao li ◽  
Zhe Xu ◽  
Hui Chen ◽  
Zhen dong Wang ◽  
Yang Xu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Excision Repair ◽  
Univariate Analysis ◽  
Stage I ◽  
Rank Test ◽  
P Value ◽  
Poor Overall Survival ◽  
Potential Biomarker ◽  
Pathologic Features

Abstract Objective: Gastric ancer is a common cancer with high cancer-related death in the world Although, ASPN has been reported as a potential biomarker in some cancers, the relationship of ASPN and clinical pathologic features in gastric cancer has not been investigated thoroughly. Thus, the aim of study is to evaluate the function of ASPN in gastric cancer based on TCGA. Materials and methods: The gene expression data (407 cases, Workflow Type: HTSeq-Counts) and corresponding clinical information were downloaded from the TCGA Genomic Data Commons data portal. We performed the NES and nominal p value to evaluate the pathways enriched in each phenotype. Then, we analyzed the association with ASPN and clinicopathologic variables based on Wilcoxon signed-rank test and logistic regression. Result: We found that it was significantly different in ASPN expression between gastric cancer and normal tissue (P<0.001). High ASPN expression was significantly associated with high stage (Odds ratio (OR)=3.656 for stage II vs stage I and OR=0.014 for stage III vs stage I), T classification (OR=13.304 for T2 vs T1, OR=20.769 for T3 vs T1 and OR=24.857 for T4 vs T1) (all p-values< 0.05). Univariate analysis revealed ASPN could result in poor overall survival with HR=1.004 and P=0.036. Besides, multivariate analysis indicated that ASPN expression was an independent risk factor for overall survival (HR:1.010, P=0.000), age (HR: 1.046, P=0.002) and gender (HR: 1.623, P=0.026). Besides, GSEA results showed that Pentose phosphate pathway, Base excision repair, Peroxisome, Protesome, Nucleotide excision repair, and Mismatch repair were differentially enriched in gastric cancer with high ASPN expression phentype. Conclusion: ASPN expression is higher in gastric cancer than normal tissues, and considered ASPN as a potential independent molecular marker for diagnosis and prognosis of GC.

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