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

Oncotarget ◽  
2017 ◽  
Vol 8 (41) ◽  
pp. 70271-70280 ◽  
Author(s):  
Chenhua Sun ◽  
Qi Yuan ◽  
Dongdong Wu ◽  
Xiaohu Meng ◽  
Baolin Wang
2021 ◽  
Vol 0 (0) ◽  
pp. 2109-2122
Author(s):  
Changjiang Shao ◽  
Rong Wang ◽  
Dandan Kong ◽  
Qian Gao ◽  
Chunfang Xu

Medicine ◽  
2021 ◽  
Vol 100 (12) ◽  
pp. e25154
Author(s):  
Yewen Shi ◽  
Dongmin Chang ◽  
Wenhan Li ◽  
FengYu Zhao ◽  
Xiaoyong Ren ◽  
...  

2020 ◽  
Vol 15 ◽  
Author(s):  
Yuan Gu ◽  
Ying Gao ◽  
Xiaodan Tang ◽  
Huizhong Xia ◽  
Kunhe Shi

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.


Oncotarget ◽  
2017 ◽  
Vol 8 (42) ◽  
pp. 73017-73028 ◽  
Author(s):  
Hua-Chuan Zheng ◽  
Bao-Cheng Gong ◽  
Shuang Zhao

Author(s):  
Xiao‐yan Huang ◽  
Jin‐jian Liu ◽  
Xiong Liu ◽  
Yao‐hui Wang ◽  
Wei Xiang

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Wei Gu ◽  
Ying Sun ◽  
Xiong Zheng ◽  
Jin Ma ◽  
Xiao-Ying Hu ◽  
...  

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.


2019 ◽  
Vol 215 (7) ◽  
pp. 152436 ◽  
Author(s):  
Fei Liu ◽  
Yunyan Wu ◽  
Yunzhe Mi ◽  
Lina Gu ◽  
Meixiang Sang ◽  
...  

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Xiaonan Xi ◽  
Yahui Chu ◽  
Ning Liu ◽  
Qianqian Wang ◽  
Zheng Yin ◽  
...  

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