RAD51B as a potential biomarker for early detection and poor prognostic evaluation contributes to tumorigenesis of gastric cancer

Tumor Biology ◽  
2016 ◽  
Vol 37 (11) ◽  
pp. 14969-14978 ◽  
Author(s):  
Yikun Cheng ◽  
Bin Yang ◽  
Yanfeng Xi ◽  
Xing Chen
Author(s):  
Deli Mao ◽  
Rui Xu ◽  
Hengxing Chen ◽  
Xiancong Chen ◽  
Dongsheng Li ◽  
...  

Background: Focal adhesion, as the intermediary between tumor cells and extracellular matrix communication, plays a variety of roles in tumor invasion, migration, and drug resistance. However, the potential role of focal adhesion-related genes in the microenvironment, immune cell infiltration, and drug sensitivity of gastric cancer (GC) has not yet been revealed.Methods: The genetic and transcriptional perspectives of focal adhesion-related genes were systematically analyzed. From a genetic perspective, the focal adhesion index (FAI) was constructed based on 18 prognosis-related focus adhesion-related genes to evaluate the immune microenvironment and drug sensitivity. Then three prognosis-related genes were used for consistent clustering to identify GC subtypes. Finally, use FLT1, EGF, COL5A2, and M2 macrophages to develop risk signatures, and establish a nomogram together with clinicopathological characteristics.Results: Mutations in the focal adhesion-related gene affect the survival time and clinical characteristics of GC patients. FAI has been associated with a shorter survival time, immune signaling pathways, M2 macrophage infiltration, epithelial-mesenchymal transition (EMT) signaling, and diffuse type of GC. FAI recognizes ALK, cell cycle, and BMX signaling pathways inhibitors as sensitive agents for the treatment of GC. FLT1, EGF, and COL5A2 may distinguish GC subtypes. The established risk signature is of great significance to the prognostic evaluation of GC based on FLT1, EGF, and COL5A2 and M2 macrophage expression.Conclusion: The focal adhesion-related gene is a potential biomarker for the evaluation of the immune microenvironment and prognosis. This work emphasizes the potential impact of the focal adhesion pathway in GC therapy and highlights its guiding role in prognostic evaluation.


2008 ◽  
Vol 14 (19) ◽  
pp. 6264-6269 ◽  
Author(s):  
Carolina Bernal ◽  
Francisco Aguayo ◽  
Cynthia Villarroel ◽  
Macarena Vargas ◽  
Ignacio Díaz ◽  
...  

2014 ◽  
Vol 110 (9) ◽  
pp. 2291-2299 ◽  
Author(s):  
C Zhu ◽  
C Ren ◽  
J Han ◽  
Y Ding ◽  
J Du ◽  
...  

2010 ◽  
Vol 9 (7) ◽  
pp. 3671-3679 ◽  
Author(s):  
Poh Kuan Chong ◽  
Huiyin Lee ◽  
Jianbiao Zhou ◽  
Shaw-Cheng Liu ◽  
Marie Chiew Shia Loh ◽  
...  

Biomarkers ◽  
2014 ◽  
Vol 19 (8) ◽  
pp. 667-673 ◽  
Author(s):  
Yaping Zhang ◽  
Ling Qiu ◽  
Yanmin Wang ◽  
Chengyan He ◽  
Xuzhen Qin ◽  
...  

2001 ◽  
Vol 120 (5) ◽  
pp. A606-A606
Author(s):  
Y MORII ◽  
T YOSHIDA ◽  
T MATSUMATA ◽  
T ARITA ◽  
K SHIMODA ◽  
...  

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.


Bioengineered ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 4361-4373
Author(s):  
Lingshan Zhou ◽  
Yuan Yang ◽  
Min Liu ◽  
Yuling Gan ◽  
Rong Liu ◽  
...  

2015 ◽  
Vol 11 (4) ◽  
pp. 370-379 ◽  
Author(s):  
Xiao-Jun Shen ◽  
Hao Zhang ◽  
Gu-Sheng Tang ◽  
Xu-Dong Wang ◽  
Rui Zheng ◽  
...  

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