scholarly journals Transcriptome-Wide Map of N6-Methyladenosine Methylome Profiling in Human Bladder Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Aolin Li ◽  
Ying Gan ◽  
Congcong Cao ◽  
Binglei Ma ◽  
Quan Zhang ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Gene Expression Pattern ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Functional Enrichment ◽  
Rna Modification ◽  
Human Bladder Cancer ◽  
Human Bladder ◽  
Normal Tissues ◽  
Cancer Tissues

N6-Methyladenosine (m6A) is the most widespread internal RNA modification in several species. In spite of latest advances in researching the biological roles of m6A, its function in the development and progression of bladder cancer remains unclear. In this study, we used MeRIPty -55-seq and RNA-seq methods to obtain a comprehensive transcriptome-wide m6A profiling and gene expression pattern in bladder cancer and paired normal adjacent tissues. Our findings showed that there were 2,331 hypomethylated and 3,819 hypermethylated mRNAs, 32 hypomethylated and 105 hypermethylated lncRNAs, and 15 hypomethylated and 238 hypermethylated circRNAs in bladder cancer tissues compared to adjacent normal tissues. Furthermore, m6A is most often harbored in the coding sequence (CDS), with some near the start and stop codons between two groups. Functional enrichment analysis revealed that differentially methylated mRNAs, lncRNAs, and circRNAs were mostly enriched in transcriptional misregulation in cancer and TNF signaling pathway. We also found that different m6A methylation levels of gene might regulate its expression. In summary, our results for the first time provide an m6A landscape of human bladder cancer, which expand the understanding of m6A modifications and uncover the regulation of mRNAs, lncRNAs, and circRNAs through m6A modification in bladder cancer.

scholarly journals Construction of ceRNA Coexpression Network and Screening of Molecular Targets in Colorectal Cancer

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Zhao Hui ◽  
Wang Zhanwei ◽  
Yang Xi ◽  
Liu Jin ◽  
Zhuang Jing ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Protein Interactions ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Gene Expression Omnibus ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Normal Tissues ◽  
Cerna Network ◽  
Cancer Tissues

Objective. To screen some RNAs that correlated with colorectal cancer (CRC). Methods. Differentially expressed miRNAs, lncRNAs, and mRNAs between cancer tissues and normal tissues in CRC were identified using data from the Gene Expression Omnibus (GEO) database. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and protein-protein interactions (PPIs) were performed to do the functional enrichment analysis. And a lncRNA-miRNA-mRNA network was constructed which correlated with CRC. RNAs in this network were subjected to analyze the relationship with the patient prognosis. Results. A total of 688, 241, and 103 differentially expressed genes (diff-mRNA), diff-lncRNA, and diff-miRNA were obtained between cancer tissues and normal tissues. A total of 315 edges were obtained in the ceRNA network. lncRNA RP11-108K3.2 and mRNA ONECUT2 correlated with prognosis. Conclusion. The identified RNAs and constructed ceRNA network could provide great sources for the researches of therapy of the CRC. And the lncRNA RP11-108K3.2 and mRNA ONECUT2 may serve as a novel prognostic predictor of CRC.

Reduced ING4 Expression Is Associated with the Malignancy of Human Bladder

2015 ◽  
Vol 94 (4) ◽  
pp. 464-471 ◽  
Author(s):  
Yongquan Wang ◽  
Tianying Wang ◽  
Yelu Han ◽  
Heng Wu ◽  
Wenran Zhao ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Cell Cycle Progression ◽  
Human Bladder Cancer ◽  
Human Bladder ◽  
Normal Tissues ◽  
T24 Cells ◽  
M Phase ◽  
Bladder Cells ◽  
Cancer Tissues

Introduction: Inhibitor of growth 4 (ING4) is a tumor suppressor. However the role of ING4 in human bladder malignancy is unknown. In this study, ING4 expression in human bladder cancer and its potential effects were studied. Materials and Methods: ING4 expression in 47 human bladder cancer tissues and paired adjacent normal tissues was detected by Western blotting, quantitative reverse transcription-polymerase chain reaction, and immunohistochemistry. The migration and cell cycle progression of SV-HUC-1 and T24 cells with aberrant ING4 expression were examined. Results: ING4 protein and mRNA were significantly decreased in bladder cancer tissues. ING4 protein level was significantly lower in the group of patients over 50 years of age. ING4 knockdown caused more rapid cell migration and increased the population of SV-HUC-1 and T24 cells in the G2-M phase. Conclusion: Our data suggest a close connection between aberrant ING4 expression and the carcinogenesis of human bladder cells. ING4 may be a potential target for bladder cancer chemotherapy.

scholarly journals An epithelial–mesenchymal transition-related long noncoding RNA signature correlates with the prognosis and progression in patients with bladder cancer

2021 ◽  
Vol 41 (1) ◽  
Author(s):  
Hang Tong ◽  
Tinghao Li ◽  
Shun Gao ◽  
Hubin Yin ◽  
Honghao Cao ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Epithelial Mesenchymal Transition ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Risk Groups ◽  
Functional Enrichment ◽  
Diagnostic Efficacy ◽  
Mesenchymal Transition

Abstract Bladder cancer is a common malignant tumour worldwide. Epithelial–mesenchymal transition (EMT)-related biomarkers can be used for early diagnosis and prognosis of cancer patients. To explore, accurate prediction models are essential to the diagnosis and treatment for bladder cancer. In the present study, an EMT-related long noncoding RNA (lncRNA) model was developed to predict the prognosis of patients with bladder cancer. Firstly, the EMT-related lncRNAs were identified by Pearson correlation analysis, and a prognostic EMT-related lncRNA signature was constructed through univariate and multivariate Cox regression analyses. Then, the diagnostic efficacy and the clinically predictive capacity of the signature were assessed. Finally, Gene set enrichment analysis (GSEA) and functional enrichment analysis were carried out with bioinformatics. An EMT-related lncRNA signature consisting of TTC28-AS1, LINC02446, AL662844.4, AC105942.1, AL049840.3, SNHG26, USP30-AS1, PSMB8-AS1, AL031775.1, AC073534.1, U62317.2, C5orf56, AJ271736.1, and AL139385.1 was constructed. The diagnostic efficacy of the signature was evaluated by the time-dependent receiver-operating characteristic (ROC) curves, in which all the values of the area under the ROC (AUC) were more than 0.73. A nomogram established by integrating clinical variables and the risk score confirmed that the signature had a good clinically predict capacity. GSEA analysis revealed that some cancer-related and EMT-related pathways were enriched in high-risk groups, while immune-related pathways were enriched in low-risk groups. Functional enrichment analysis showed that EMT was associated with abundant GO terms or signaling pathways. In short, our research showed that the 14 EMT-related lncRNA signature may predict the prognosis and progression of patients with bladder cancer.

C51 ANALYSIS OF P16 AND DAPK PROMOTER METHYLATION IN HUMAN BLADDER CANCER TISSUES

2010 ◽  
Vol 9 (6) ◽  
pp. 632
Author(s):  
Z. Jablonowski ◽  
E. Reszka ◽  
E. Wieczorek ◽  
J. Gromadzihska ◽  
W. Wasowicz ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Promoter Methylation ◽  
Human Bladder Cancer ◽  
Human Bladder ◽  
Cancer Tissues

scholarly journals Construction of a long noncoding RNA-based competing endogenous RNA network and prognostic signatures of left- and right-side colon cancer

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ke-zhi Li ◽  
Yi-xin Yin ◽  
Yan-ping Tang ◽  
Long Long ◽  
Ming-zhi Xie ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Prognostic Value ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Functional Enrichment ◽  
Molecular Characteristics ◽  
Prognostic Signature ◽  
Cerna Network ◽  
Colon Cancers ◽  
Cancer Tissues

Abstract Background Cancers located on the right and left sides of the colon have distinct clinical and molecular characteristics. This study aimed to explore the regulatory mechanisms of location-specific long noncoding RNAs (lncRNAs) as competing endogenous RNAs (ceRNAs) in colon cancer and identify potential prognostic biomarkers. Method Differentially expressed lncRNAs (DELs), miRNAs (DEMs), and genes (DEGs) between right- and left-side colon cancers were identified by comparing RNA sequencing profiles. Functional enrichment analysis was performed for the DEGs, and a ceRNA network was constructed. Associations between DELs and patient survival were examined, and a DEL-based signature was constructed to examine the prognostic value of these differences. Clinical colon cancer tissues and Gene Expression Omnibus (GEO) datasets were used to validate the results. Results We identified 376 DELs, 35 DEMs, and 805 DEGs between right- and left-side colon cancers. The functional enrichment analysis revealed the functions and pathway involvement of DEGs. A ceRNA network was constructed based on 95 DEL–DEM–DEG interactions. Three DELs (LINC01555, AC015712, and FZD10-AS1) were associated with the overall survival of patients with colon cancer, and a prognostic signature was established based on these three DELs. High risk scores for this signature indicated poor survival, suggesting that the signature has prognostic value for colon cancer. Examination of clinical colon cancer tissues and GEO dataset analysis confirmed the results. Conclusion The ceRNA regulatory network suggests roles for location-specific lncRNAs in colon cancer and allowed the development of an lncRNA-based prognostic signature, which could be used to assess prognosis and determine treatment strategies in patients with colon cancer.

scholarly journals T-Box Transcription Factor 22 Is an Immune Microenvironment-Related Biomarker Associated With the BRAFV600E Mutation in Papillary Thyroid Carcinoma

2020 ◽  
Vol 8 ◽  
Author(s):  
Xubin Dong ◽  
Jingjing Song ◽  
Jing Hu ◽  
Cheng Zheng ◽  
Xiaohua Zhang ◽  
...  
Keyword(s):  
Transcription Factor ◽  
T Regulatory Cells ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Functional Enrichment ◽  
Papillary Thyroid ◽  
Immune Microenvironment ◽  
Invasion And Migration ◽  
T Box ◽  
Normal Tissues

Papillary thyroid cancer (PTC) is the most common malignant disease in endocrine systems. T-box transcription factor 22 (TBX22) is a phylogenetically conserved family member that has not been widely characterized in cancers. In this study, we explored the potential clinical significance and biological functions of TBX22 in PTC. Comprehensive analyses of TBX22 were based on the public databases and our local qRT-PCR cohort. We observed that TBX22 was significantly downregulated in PTC compared with normal tissues. TBX22 was associated with several clinicopathological factors in PTC. Low TBX22 expression correlated with BRAFV600E and TERT mutation. Functional enrichment analysis revealed that cancer-related pathways and immune progress were closely associated with TBX22 in PTC. In TBX22-low PTC, high immune infiltration levels with increased CD8+ T cells, natural killer, M1 macrophages, and T-regulatory cells were observed. TBX22 was negatively correlated with the activity of different steps of the anticancer immunity cycle. Functionally, overexpression of TBX22 inhibited the proliferation, invasion, and migration in PTC cells, while knocking down of TBX22 showed the opposite effects. The present findings disclose that TBX22, as an immune microenvironment-related biomarker, could be an important tumor suppresser gene and might inform the management of PTC patients better.

scholarly journals Identification of a FLG-wide-type bladder cancer subtype with poor prognosis and prediction use in immune checkpoint

2021 ◽  
Author(s):  
Liang Chen ◽  
Liulin Xiong ◽  
Weinan Chen ◽  
Lizhe An ◽  
Huanrui Wang ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Immune Checkpoint ◽  
Poor Prognosis ◽  
Expression Profiles ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Functional Enrichment ◽  
Immune Biomarkers

Abstract Background Bladder cancer (BLCA) is one of most common urinary tract malignant tumor and immunotherapy have generated a great deal of interest in BLCA. Immune checkpoint blockade (ICB) therapy has significantly progressed the treatment of BLCA. Multiple studies have suggested that specific genetic mutations may serve as immune biomarkers for ICB therapy. Objective In this study, we aimed to investigate the role of mutations genes and subtypes in prognosis and immune checkpoint prediction in BLCA. Method Mutation information and expression profiles were acquired from The Cancer Genome Atlas (TCGA) database. Integrated bioinformatics analysis was carried out to explore the mutation genes of BLCA. Functional enrichment analysis Gene Ontology (GO) and Gene set enrichment analysis (GSEA) was conducted. The infiltrating immune cells and the prediction of ICB between different subtypes group were explored using immuCellAI algorithm. Results The mutation genes Filaggrin (FLG) gene were identified. Following the study on its subtypes and functional enrichment analysis, Sub2 of FLG-wide type was found to have relationships with poor prognosis and immune infiltration BLCA. What’s more, Sub2 of FLG-wide type may be used as a biomarker to predict the prognosis of BLCA patients receiving ICB. Conclusion This research provides a new basis and ideas for guiding the clinical application of BLCA immunotherapy.

scholarly journals Significance and Mechanisms Analyses of RB1 Mutation in Bladder Cancer Disease Progression and Drug Selection by Bioinformatics Analysis

2021 ◽  
pp. 1-10
Author(s):  
Dingguo Zhang ◽  
Jinjun Tian ◽  
Qier Xia ◽  
Zhenyu Yang ◽  
Bin Gu
Keyword(s):  
Bladder Cancer ◽  
Disease Progression ◽  
Drug Sensitivity ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Functional Enrichment ◽  
Drug Selection ◽  
Cancer Disease ◽  
Ezh2 Expression ◽  
Bladder Cancer Cells

BACKGROUND: Bladder cancer is still a disease of significant morbidity and mortality. In bladder cancer, RB1 is one of the most common mutant genes. METHODS: In this study, we explored the Genomics of Drug Sensitivity in Cancer (GDSC) database for drug sensitivity. The latest TCGA data were downloaded for analysis. To deal with functional enrichment analysis, GSEA, KEGG and GO were used. Prognostic analyses have been carried out using the GEPIA online tool. RESULTS: Results from the GDSC database showed that bladder cancer cells with RB1 mutation are more resistant to Dactolisib, MK-2206 and GNE-317. RB1 mutation was found in 25%bladder cancer patients. Patients with RB1 mutation often had lower RB1 mRNA expression level and higher histologic grade. In addition, we identified 999 differentially expressed genes in both groups. Functional enrichment analysis suggested that DEGs were primarily enriched in multiple metabolic progressions, cell proliferation and cancer related pathways. There were strong correlations between WT1, GPR37, CHRM2 and EZH2 expression levels and the prognosis. CONCLUSIONS: In all, the significance of RB1 mutation in disease progression and drug selection in bladder cancer was suggested by our results, and multiple genes and pathways related to such a program were identified.

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