Bioinformatics analysis of the prognosis and biological significance of VCAN in gastric cancer

Abstract Background: Gastric cancer (GC) is one of the major malignancies of gastrointestinal tract. Hydrogen-potassium ATPase beta (ATP4B) gene is aberrantly downexpressed in gastric cancer that is associated with worse disease outcome. The objective of this study was to investigate the biological significance of ATP4B in GC carcinogenesis and development. Methods: The expression level of ATP4B was analyzed via clinical tissues and TCGA database. Then, we overexpressed ATP4B in SGC7901 and utilized isobaric Tags for Relative and Absolute Quantitation (iTRAQ) technique validate the ATP4B-regulated proteomics profile alterations. Bioinformatics analysis was performed to evaluate the biological processes of ATP4B in GC. Western blot was used for the verification of significant downstream proteins of ATP4B based on bioinformatics analysis data.Results: We identified 293 differentially expressed proteins between the ATP4B overexpressing and control groups in SGC7901, including 145 upregulated proteins and 148 downregulated proteins. GO enrichment analysis indicated that ATP4B-modulating downstream proteins were primarily related to mitochondria function and metabolism. ATP4B-induced enrichments of biological functions were partly associated with suppressing tumor advancement, illustrating an inhibitory role for ATP4B in the progression of GC. Co-expression interaction network analysis exhibited the significant alterations in p53 and STAT3/NF-κB signaling pathway. Consistently, KEGG pathway analysis showed that DEPs are enriched in cell metabolism and cancer-related signaling pathway. Western blot validated the activation of p53 pathway and the inhibition of NF-κB /CD44 pathway after ATP4B overexpressing in GC cells.Conclusion: ATP4B plays a critical anticancer effect by regulating p53/NF-κΒ/mitochondrial pathway. Our data suggested a novel role and mechanism for ATP4B in GC progression.

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Ultrastructural Localization Study of Carcinoembryonic Antigen (CEA) in Gastric Cancer: Immunoelectron Microscopic Observation

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100158807 ◽

1990 ◽

Vol 48 (3) ◽

pp. 252-253

Author(s):

Dong Yuming ◽

Yang Guanglin ◽

Wu Jifeng ◽

Chen Xiaolin

Keyword(s):

Gastric Cancer ◽

Intestinal Metaplasia ◽

Cancer Cells ◽

Microscopic Observation ◽

Biological Significance ◽

Ultrastructural Localization ◽

Mucinous Carcinoma ◽

Surface Glycoprotein ◽

Tubular Adenocarcinoma ◽

Pap Method

On the basis of light microscopic observation, the ultrastructural localization of CEA in gastric cancer was studied by immunoelectron microscopic technique. The distribution of CEA in gastric cancer and its biological significance and the mechanism of abnormal distribution of CEA were further discussed.Among 104 surgically resected specimens of gastric cancer with PAP method at light microscopic level, the incidence of CEA(+) was 85.58%. All of mucinous carcinoma exhibited CEA(+). In tubular adenocarcinoma the incidence of CEA(+) showed a tendency to rising with the increase of degree of differentiation. In normal epithelia and intestinal metaplasia CEA was faintly present and was found only in the luminal surface. The CEA staining patterns in cancer cells were of three types--- cytoplasmic, membranous and weak reactive type. The ultrastructural localization of CEA in 14 cases of gastric cancer was studied by immunoelectron microscopic technique.There was a little or no CEA in the microvilli of normal epithelia. In intestinal metaplasia CEA was found on the microvilli of absorptive cells and among the mucus particles of goblet cells. In gastric cancer CEA was also distributed on the lateral and basal surface or even over the entire surface of cancer cells and lost their polarity completely. Many studies had proved that the alterations in surface glycoprotein were characteristic changes of tumor cells. The antigenic determinant of CEA was glycoprotein, so the alterations of tumor-associated surface glycoprotein opened up a new way for the diagnosis of tumors.

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Bioinformatics Analysis Identifies CPZ as a Tumor Immunology Biomarker For Gastric Cancer

Current Bioinformatics ◽

10.2174/1574893615999200707145643 ◽

2020 ◽

Vol 15 ◽

Author(s):

Yuan Gu ◽

Ying Gao ◽

Xiaodan Tang ◽

Huizhong Xia ◽

Kunhe Shi

Keyword(s):

Gastric Cancer ◽

T Cells ◽

Signaling Pathway ◽

Tumor Immunology ◽

Bioinformatics Analysis ◽

Human Cancer ◽

Disease Free Survival ◽

Kaplan Meier ◽

Potential Biomarker ◽

Pathway Regulation

Background: Gastric cancer (GC) is one of the most common malignancies worldwide. However, the biomarkers for the prognosis and diagnosis of Gastric cancer were still need. Objective: The present study aimed to evaluate whether CPZ could be a potential biomarker for GC. Method: Kaplan-Meier plotter (http://kmplot.com/analysis/) was used to determine the correlation between CPZ expression and overall survival (OS) and disease-free survival (DFS) time in GC [9]. We analyzed CPZ expression in different types of cancer and the correlation of CPZ expression with the abundance of immune infiltrates, including B cells, CD4+ T cells, CD8+ T cells, neutrophils, macrophages, and dendritic cells, via gene modules using TIMER Database. Results: The present study identified that CPZ was overexpressed in multiple types of human cancer, including Gastric cancer. We found that overexpression of CPZ correlates to the poor prognosis of patients with STAD. Furthermore, our analyses show that immune infiltration levels and diverse immune marker sets are correlated with levels of CPZ expression in STAD. Bioinformatics analysis revealed that CPZ was involved in regulating multiple pathways, including PI3K-Akt signaling pathway, cGMP-PKG signaling pathway, Rap1 signaling pathway, TGF-beta signaling pathway, regulation of cell adhesion, extracellular matrix organization, collagen fibril organization, collagen catabolic process. Conclusion: This study for the first time provides useful information to understand the potential roles of CPZ in tumor immunology and validate it to be a potential biomarker for GC.

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The meta and bioinformatics analysis of GRP78 expression in gastric cancer

Oncotarget ◽

10.18632/oncotarget.20318 ◽

2017 ◽

Vol 8 (42) ◽

pp. 73017-73028 ◽

Cited By ~ 2

Author(s):

Hua-Chuan Zheng ◽

Bao-Cheng Gong ◽

Shuang Zhao

Keyword(s):

Gastric Cancer ◽

Bioinformatics Analysis

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Identification of Gastric Cancer-Related Circular RNA through Microarray Analysis and Bioinformatics Analysis

BioMed Research International ◽

10.1155/2018/2381680 ◽

2018 ◽

Vol 2018 ◽

pp. 1-9 ◽

Cited By ~ 12

Author(s):

Wei Gu ◽

Ying Sun ◽

Xiong Zheng ◽

Jin Ma ◽

Xiao-Ying Hu ◽

...

Keyword(s):

Gene Expression ◽

Gastric Cancer ◽

Microarray Analysis ◽

Cancer Progression ◽

Pathway Analysis ◽

Bioinformatics Analysis ◽

Malignant Tumors ◽

Expression Profiles ◽

Circular Rnas ◽

Target Mrnas

Gastric cancer is one of the common malignant tumors worldwide. Increasing studies have indicated that circular RNAs (circRNAs) play critical roles in the cancer progression and have shown great potential as useful markers and therapeutic targets. However, the precise mechanism and functions of most circRNAs are still unknown in gastric cancer. In the present study, we performed a microarray analysis to detect circRNA expression changes between tumor samples and adjacent nontumor samples. The miRNA expression profiles were obtained from the National Center of Biotechnology Information Gene Expression Omnibus (GEO). The differentially expressed circRNAs and miRNAs were identified through fold change filtering. The interactions between circRNAs and miRNAs were predicted by Arraystar’s home-made miRNA target prediction software. After circRNA-related miRNAs and dysregulated miRNAs were intersected, 23 miRNAs were selected. The target mRNAs of miRNAs were predicted by TarBase v7.0. Gene ontology (GO) enrichment analysis and pathway analysis were performed using standard enrichment computational methods for the target mRNAs. The results of pathway analysis showed that p53 signaling pathway and hippo signal pathway were significantly enriched and CCND2 was a cross-talk gene associated with them. Finally, a circRNA-miRNA-mRNA regulation network was constructed based on the gene expression profiles and bioinformatics analysis results to identify hub genes and hsa_circRNA_101504 played a central role in the network.

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Expression and biological significance of human kallikrein 6 in gastric cancer tissues

Współczesna Onkologia ◽

10.5114/wo.2013.33776 ◽

2013 ◽

Vol 1 ◽

pp. 64-67

Author(s):

Cheng Jin Hu ◽

Kui Xiang Chen ◽

Jin Feng Zheng ◽

Ying Jian Chen

Keyword(s):

Gastric Cancer ◽

Biological Significance ◽

Cancer Tissues ◽

Kallikrein 6

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Identification of core genes and outcome in gastric cancer using bioinformatics analysis

Oncotarget ◽

10.18632/oncotarget.20082 ◽

2017 ◽

Vol 8 (41) ◽

pp. 70271-70280 ◽

Cited By ~ 35

Author(s):

Chenhua Sun ◽

Qi Yuan ◽

Dongdong Wu ◽

Xiaohu Meng ◽

Baolin Wang

Keyword(s):

Gastric Cancer ◽

Bioinformatics Analysis ◽

Core Genes

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Peer Review #3 of "Discovery of plasma messenger RNA as novel biomarker for gastric cancer identified through bioinformatics analysis and clinical validation (v0.2)"

10.7287/peerj.7025v0.2/reviews/3 ◽

2019 ◽

Keyword(s):

Gastric Cancer ◽

Peer Review ◽

Messenger Rna ◽

Bioinformatics Analysis ◽

Clinical Validation

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The Clinicopathological Significance and Prognostic Value of Obg-Like Atpase 1 (OLA1) in Gastric Cancer

10.21203/rs.3.rs-362393/v1 ◽

2021 ◽

Author(s):

Juan Wang ◽

Zihan Zheng ◽

Qinghua Cao ◽

Xiufen Liu ◽

Zhiqing Wang

Keyword(s):

Gastric Cancer ◽

Overall Survival ◽

Cancer Patients ◽

Prognostic Value ◽

Biological Significance ◽

High Expression ◽

Cancer Tissue ◽

Cox Regression Analysis ◽

Gastric Cancer Patients ◽

Cancer Tissues

Abstract Backgroud Obg-like ATPase 1 (OLA1) is a member of the Obg family of P-loop NTPases and has recently been detected in several human cancer cells. However, its expression type and clinical relevance in gastric cancer remains unclear. Methods In the present study, 2 datasets downloaded from the open Gene Expression Omnibus database were used to evaluate the mRNA level of OLA1 in gastric cancer. Quantitative Reverse Transcription PCR further validated the mRNA expression in gastric cancer tissues. Immunohistochemistry was performed on gastric cancer tissue microarray to assess OLA1 protein expression type, prognostic value, biological significance and its association with Snail in 334 patients of gastric cancer. The prognostic value of combination of OLA1 and Snail has been evaluated. Results The results showed that OLA1 mRNA and protein were elevated in gastric cancer tissues. High expression of OLA1 was significantly associated with aggressive features, such as tumor size, lymph node metastasis and TNM stage (P = 0.0146, P = 0.0037, P < 0.001, respectively). Moreover, high levels of OLA1 predicted worse overall survival. Multivariate Cox regression analysis indicated that high expression of OLA1 was an independent prognostic factor for poor overall survival (hazard ratio, 0.573; 95% confidence interval, 0.376–0.872; P = 0.009). Additionally, OLA1 expression was positively correlated with Snail, and combination of them revealed improved prognostic accuracy for gastric cancer patients. Conclusions Our results suggested that OLA1 high expression was considered as an independent factor for the prediction of unfavorable prognosis in gastric cancer patients, and we believe that OLA1 could serve as a biomarker of poor prognosis and a novel target in treating gastric cancers.

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