scholarly journals Bioinformatics Analysis Finds Immune Gene Markers Related to the Prognosis of Bladder Cancer

2020 ◽  
Vol 11 ◽  
Author(s):  
Xingyu Chen ◽  
Yi Jin ◽  
Lian Gong ◽  
Dong He ◽  
YaXing Cheng ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Bioinformatics Analysis ◽  
Immune Gene ◽  
Gene Markers

scholarly journals Identification of Four Immune Subtypes in Bladder Cancer Based on Immune Gene Sets

2020 ◽  
Vol 10 ◽  
Author(s):  
Chaozhi Tang ◽  
Jiakang Ma ◽  
Xiuli Liu ◽  
Zhengchun Liu
Keyword(s):  
Bladder Cancer ◽  
Immune Gene ◽  
Gene Sets

Identification of diagnosis and prognosis gene markers in B-ALL with ETV6-RUNX1 fusion by Integrated Bioinformatics Analysis

Gene ◽  
2022 ◽  
pp. 146132
Author(s):  
Hongkai Zhu ◽  
Rong Zhang ◽  
Ruijuan Li ◽  
Zhihua Wang ◽  
Heng Li ◽  
...  
Keyword(s):  
Bioinformatics Analysis ◽  
Gene Markers ◽  
Diagnosis And Prognosis

scholarly journals Integrated analysis identifies AQP9 correlates with immune infiltration and acts as a prognosticator in multiple cancers

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Xiaohong Liu ◽  
Qian Xu ◽  
Zijing Li ◽  
Bin Xiong
Keyword(s):  
Survival Data ◽  
Integrated Analysis ◽  
Immune Gene ◽  
Gene Markers ◽  
Lung Cancers ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
Aquaporin 9 ◽  
Infiltrating Cells ◽  
The Relationship

AbstractAquaporin 9 (AQP9), as an aquaglyceroporin, is expressed in many immune cells and plays important role in tumor initiation and progression. However, the relationship between AQP9 and tumor-infiltrating cells, and its prognostic value in cancers still require comprehensive understanding. Herein, we aimed to elucidate the correlations of AQP9 with prognosis and immune infiltration levels in diverse cancers. We detected the expression and survival data of AQP9 through Oncomine, TIMER, Kaplan–Meier Plotter and PrognoScan databases. The correlations between AQP9 and immune infiltrates were analyzed in TIMER database. Our results found that high AQP9 expression was significantly correlated with worse prognosis in breast, colon and lung cancers, while predicted better prognosis in gastric cancer. Moreover, AQP9 had significant association with various immune infiltrating cells including CD8+ and CD4+ T cells, neutrophils, macrophages and dendritic cells (DCs), and diverse immune gene markers in BRCA, COAD, LUAD, LUSC and STAD. AQP9 was also significantly correlated with the regulation of tumor associated macrophages (TAM). These results indicate that AQP9 can play as a significant biomarker to determine the prognosis and the immune infiltrating levels in different cancers. It might also contribute to the development of the immunotherapy in breast, colon, lung and gastric cancers.

scholarly journals Identification and bioinformatics analysis of miRNAs associated with human muscle invasive bladder cancer

2017 ◽  
Vol 16 (6) ◽  
pp. 8709-8720 ◽  
Author(s):  
Liang Chen ◽  
Lushun Yuan ◽  
Gang Wang ◽  
Rui Cao ◽  
Jianping Peng ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Bioinformatics Analysis ◽  
Human Muscle ◽  
Invasive Bladder Cancer ◽  
Muscle Invasive Bladder Cancer ◽  
Muscle Invasive

Effects and mechanisms of AMIGO2 in proliferation, migration and drug resistance of bladder cancer

2020 ◽  
Author(s):  
Dali Han ◽  
Bin Xiong ◽  
Xiangxiang Zhang ◽  
Chaohu Chen ◽  
Zhiqiang Yao ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Cell Proliferation ◽  
Bladder Cancer ◽  
Cancer Cells ◽  
Abc Transporters ◽  
Bioinformatics Analysis ◽  
Sequencing Technology ◽  
Hub Genes ◽  
Bladder Cancer Cells ◽  
Ppar Signaling

Abstract Background Bladder cancer is the most common malignancy in urinary system, but the therapeutic targets remain elusive. This study aims to reveal the relationship between AMIGO2 and proliferation, migration, drug-resistance and tumorigenicity of bladder cancer, and explore the potential molecular mechanisms. Methods The expression of AMIGO2 in human bladder cancer tissues is measured by qRT-PCR and immunohistochemistry (IHC). Stable AMIGO2 knockdown cell lines T24 and 5637 were established by lentivirus transfection. Cell viability assay (CCK-8 assay) was used to determine cell proliferation, flow cytometry analysis was utilized to detect cell cycle, and wound healing assay was proceeded to test migration ability of bladder cancer cells. Chemosensitivity to cisplatin was measured by CCK-8 assay. Xenograft mouse model was established for investigating the effect of AMIGO2 on tumor formation in vivo. The RNA Sequencing technology was used to explore differentially expressed genes (DEGs) between knockdown group and negative control group of T24. Bioinformatics analysis upon the results of RNA-Seq was proceeded to understand underlying mechanisms. Results AMIGO2 was upregulated in bladder cancer cells and tissues. Inhibited expression of AMIGO2 suppresses cell proliferation and migration, which might be mediated by cell cycle arrest in G1 phase. AMIGO2 could reduce chemoresistance to cisplatin in bladder cancer cells. Low AMIGO2 expression inhibited tumorigenicity of T24 in nude mice. 917 DEGs were identified by RNA-Sequencing technology and bioinformatics analysis. The DEGs were mainly enriched in cell-cell adhesion, ATP-binding cassette transporters (ABC transporters), PPAR signaling pathway and some other pathways. Among ten hub genes, four of them might be associated with the prognosis of bladder cancer patients. Conclusion AMIGO2 is overexpressed in bladder cancer cells and tissues and serves as an oncogene in bladder cancer. It also reduces chemoresistance to cisplatin. The process might be regulated by particular pathways including ABC transporters and PPAR signaling pathway. Four hub genes might be associated with prognosis of bladder cancer patients.

Sign in / Sign up

Export Citation Format

Share Document