scholarly journals Global Analysis of miRNA-mRNA Regulation Pair in Bladder Cancer

2021 ◽  
Author(s):  
Xingchen Fan ◽  
Xuan Zou ◽  
Cheng Liu ◽  
Shuang Peng ◽  
Shiyu Zhang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Bladder Cancer ◽  
Correlation Analysis ◽  
Global Analysis ◽  
Characteristic Curve ◽  
External Validation ◽  
Regulation Of Gene Expression ◽  
The Cancer Genome Atlas ◽  
Mrna Regulation ◽  
Qrt Pcr

Abstract Purpose: MicroRNA (miRNA) is a class of short non-coding RNA molecules that functions in RNA silencing and post-transcriptional regulation of gene expression. This study aims to identify critical miRNA-mRNA regulation pairs contributing to bladder cancer (BLCA) pathogenesis. Patients and methods: MiRNA and mRNA microarray and RNA-sequencing datasets were downloaded from gene expression omnibus (GEO) and the cancer genome atlas (TCGA) databases. The tool of GEO2R and R packages were used to screen differential miRNAs (DE-miRNAs) and mRNAs (DE-mRNAs) and DAVID, DIANA, and Hiplot tools were used to perform gene enrichment analysis. The miRNA-mRNA regulation pair were screened from the experimentally validated miRNA-target interactions databases (miRTarBase and TarBase). Twenty-eight pairs of BLCA tissues were used to further verify the screened DE-miRNAs and DE-mRNAs by quantitative reverse transcription and polymerase chain reaction (qRT-PCR). The diagnostic value of the miRNA-mRNA regulation pairs was evaluated by receiver operating characteristic curve (ROC) and decision curve analysis (DCA). The correlation analysis between the selected miRNA-mRNAs regulation pair and clinical, survival and tumor-related phenotypes was performed in this study.Results: After the analysis of 2 miRNA datasets, 6 mRNA datasets and TCGA-BLCA dataset, a total of 13 miRNAs (5 down-regulated and 8 up-regulated in BLCA tissues) and 181 mRNAs (72 up-regulated and 109 down-regulated in BLCA tissues) were screened out. The pairs of miR-17-5p (up-regulated in BLCA tissues) and TGFBR2 (down-regulated in BLCA tissues) were verified in the external validation cohort (28 BLCA vs. 28 NC) using qRT-PCR. Areas under the ROC curve of the miRNA-mRNA regulation pair panel were 0.929 (95% CI: 0.885-0.972, p<0.0001) in TCGA-BLCA and 0.767 (95% CI: 0.643-0.891, p=0.001) in the external validation. The DCA also showed that the miRNA-mRNA regulation pairs had an excellent diagnostic performance distinguishing BLCA from normal controls. Correlation analysis showed that miR-17-5p and TGFBR2 correlated with tumor immunity.Conclusions: The research identified potential miRNA-mRNA regulation pairs, providing a new idea for exploring the genesis and development of BLCA.

scholarly journals Prognostic value of CLIC3 mRNA overexpression in bladder cancer

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8348
Author(s):  
Mei Chen ◽  
Shufang Zhang ◽  
Xiaohong Wen ◽  
Hui Cao ◽  
Yuanhui Gao
Keyword(s):  
Gene Expression ◽  
Bladder Cancer ◽  
Mrna Expression ◽  
Prognostic Value ◽  
Multivariate Analyses ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Functional Enrichment ◽  
Receptor Interaction ◽  
Normal Tissues

Background Human intracellular chloride channel 3 (CLIC3) is involved in the development of various cancers, but the expression and prognostic value of CLIC3 mRNA in bladder cancer (BC) remain unclear. Methods The gene expression data and clinical information of CLIC3 were obtained from the Gene Expression Omnibus (GEO) database and verified in the Oncomine and The Cancer Genome Atlas (TCGA) database. The expression of CLIC3 mRNA in BC tissues and adjacent normal tissues was detected by quantitative real-time polymerase chain reaction (qRT-PCR). The Kaplan-Meier method was used to analyze the relationship between the expression of CLIC3 mRNA and the prognosis of BC. Cox univariate and multivariate analyses were performed on the overall survival and tumor-specific survival of BC patients. The genes coexpressed with CLIC3 were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). CLIC3-related signal transduction pathways in BC were explored with gene set enrichment analysis (GSEA). Results The expression of CLIC3 mRNA in BC tissues was higher than that in normal tissues (P < 0.01). High CLIC3 mRNA expression was associated with age (P = 0.021) and grade (P = 0.045) in BC patients. High CLIC3 mRNA expression predicted a poor prognosis in BC patients (P < 0.05). Cox univariate and multivariate analyses showed that high CLIC3 mRNA expression was associated with tumor-specific survival in BC patients (P < 0.05). Functional enrichment analyses indicated that CLIC3 may be significantly associated with the cell cycle, focal adhesion, the extracellular matrix (ECM) receptor interaction and the P53 signaling pathway. Conclusions CLIC3 mRNA is highly expressed in BC, and its high expression is related to the adverse clinicopathological factors and prognosis of BC patients. CLIC3 can be used as a biomarker for the prognosis of BC patients.

scholarly journals Controversial T1G3 bladder cancer is the key to revealing the changes in the biological functions of bladder cancer cells

2020 ◽  
Author(s):  
Shen Pan ◽  
Yunhong Zhan ◽  
Xiaonan Chen ◽  
Bin Wu ◽  
Bitian Liu
Keyword(s):  
Gene Expression ◽  
Bladder Cancer ◽  
Cancer Cells ◽  
Interaction Analysis ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Functional Enrichment ◽  
Specific Gene ◽  
Gene Sets ◽  
Bladder Cancer Cells

Abstract Background T1G3 shows a higher chance of recurrence and progression among early bladder cancer types and the available treatment option is controversial. High recurrence and progression are the problems that need to be explored and solved. Changes in the internal signals of bladder cancer cells and differential genes may be the root cause of these problems. Methods GSE120736, GSE19915, GSE19423, GSE32548 and GSE37815 datasets were obtained from Gene Expression Omnibus (GEO ) to identify differentially expressed genes (DEGs). Bladder cancer transcript data from The Cancer Genome Atlas (TCGA) were clustered into different cell-specific gene sets according to weighted gene co-expression network analysis (WGCNA). Multiple sets of databases were used for gene expression comparison, functional enrichment, and protein interaction analysis, including The Human Protein Atlas, Cancer Dependency Map, Metascape, Gene set enrichment analysis, and DisNor. Results DEGs were obtained through GEO data comparison and intersection. After WGCNA was proven to recognise cell-specific gene sets, candidate DEGs were selected and shown to be specifically expressed in cancer cells. Candidate DEGs were related to mitosis and cell cycle. Further, 12 functional candidate markers were identified from the sequencing data of 30 bladder cancer cell lines. These genes were all up-regulated and previously shown to be closely related to bladder cancer progression. Conclusions Twelve functional genes with specific differential expression in bladder cancer cells were identified. WGCNA can identify the relatively specific expression sets of different cells in bladder cancer with greater tumour heterogeneity, which provides new perspectives for future cancer research.

scholarly journals Evaluating the role of RAD52 and its interactors as novel potential molecular targets for hepatocellular carcinoma

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Ping Li ◽  
YanZhen Xu ◽  
Qinle Zhang ◽  
Yu Li ◽  
Wenxian Jia ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Dna Repair ◽  
Characteristic Curve ◽  
The Cancer Genome Atlas ◽  
Mrna Levels ◽  
Protein Structure Analysis ◽  
Qrt Pcr ◽  
Specificity And Sensitivity ◽  
Huh7 Cells ◽  
The Impact

Abstract Background Radiation sensitive 52 (RAD52) is an important protein that mediates DNA repair in tumors. However, little is known about the impact of RAD52 on hepatocellular carcinoma (HCC). We investigated the expression of RAD52 and its values in HCC. Some proteins that might be coordinated with RAD52 in HCC were also analyzed. Methods Global RAD52 mRNA levels in HCC were assessed using The Cancer Genome Atlas (TCGA) database. RAD52 expression was analyzed in 70 HCC tissues and adjacent tissues by quantitative real-time PCR (qRT-PCR), Western blotting and immunohistochemistry. The effect of over-expressed RAD52 in Huh7 HCC cells was investigated. The String database was then used to perform enrichment and functional analysis of RAD52 and its interactome. Cytoscape software was used to create a protein–protein interaction network. Molecular interaction studies with RAD52 and its interactome were performed using the molecular docking tools in Hex8.0.0. Finally, these DNA repair proteins, which interact with RAD52, were also analyzed using the TCGA dataset and were detected by qRT-PCR. Based on the TCGA database, algorithms combining ROC between RAD52 and RAD52 interactors were used to diagnose HCC by binary logistic regression. Results In TCGA, upregulated RAD52 related to gender was obtained in HCC. The area under the receiver operating characteristic curve (AUC) of RAD52 was 0.704. The results of overall survival (OS) and recurrence-free survival (RFS) indicated no difference in the prognosis between patients with high and low RAD52 gene expression. We validated that RAD52 expression was increased at the mRNA and protein levels in Chinese HCC tissues compared with adjacent tissues. Higher RAD52 was associated with older age, without correlation with other clinicopathological factors. In vitro, over-expressed RAD52 significantly promoted the proliferation and migration of Huh7 cells. Furthermore, RAD52 interactors (radiation sensitive 51, RAD51; X-ray repair cross complementing 6, XRCC6; Cofilin, CFL1) were also increased in HCC and participated in some biological processes with RAD52. Protein structure analysis showed that RAD52–RAD51 had the firmest binding structure with the lowest E-total energy (− 1120.5 kcal/mol) among the RAD52–RAD51, RAD52–CFL1, and RAD52–XRCC6 complexes. An algorithm combining ROC between RAD52 and its interactome indicated a greater specificity and sensitivity for HCC screening. Conclusions Overall, our study suggested that RAD52 plays a vital role in HCC pathogenesis and serves as a potential molecular target for HCC diagnosis and treatment. This study’s findings regarding the multigene prediction and diagnosis of HCC are valuable.

Regulation of gene expression by DNA methylation with cytotoxic T lymphocytes evaluation in consensus molecular subtypes of colorectal cancer.

2020 ◽  
Vol 38 (5_suppl) ◽  
pp. 25-25
Author(s):  
Yuanyuan Shen ◽  
Justin Hummel ◽  
Isabel Cristina Trindade ◽  
Christos Papageorgiou ◽  
Chi-Ren Shyu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Colorectal Cancer ◽  
Dna Methylation ◽  
Molecular Subtypes ◽  
Epigenetic Modification ◽  
Pearson Correlation ◽  
Critical Role ◽  
Regulation Of Gene Expression ◽  
The Cancer Genome Atlas ◽  
Highly Correlated

25 Background: Low cytotoxic T lymphocyte (CTLs) infiltration in colorectal cancer (CRC) tumors is a challenge to treatment with immune checkpoint inhibitors. Consensus molecular subtypes (CMS) classify patients based on tumor attributes, and CMS1 patients include the majority of patients with high CTL infiltration and “inflamed” tumors. Epigenetic modification plays a critical role in gene expression and therapy resistance. Therefore, in this study we compared DNA methylation, gene expression, and CTL infiltration of CMS1 patients to other CMS groups to determine targets for improving immunotherapy in CRC. Methods: RNA-seq (n = 511) and DNA methylation (n = 316) from The Cancer Genome Atlas databases were used to determine gene expression and methylation profiles based on CMSs. CMS1 was used as a reference and compared to other subtypes (CMS2-4). Microenvironment Cell Populations- counter (MCPcounter) was used to determine tumor CTL infiltration. Genes with significantly different expression (p < 0.01, LogFC≥|1.5|) and difference of mean methylation β value ≥|0.25| were integrated for Pearson correlation coefficient analysis with MCPcounter score (r > |0.7|). Results: Comparing CMS1 and CMS2, ARHGAP9, TBX21, and LAG3 were differentially methylated and correlated with CTL scores. ARHGAP9 and TBX21 were decreased and hypomethylated in CMS2. Comparing CMS1 and CMS3, ARHGAP9, TBX21, FMNL1, HLA-DPB1, and STX11 were downregulated in CMS3 and highly correlated with CTL scores. ARHGAP9, FMNL1, HLA-DPB1, and STX11 were hypomethylated in CMS3 and TBX21 was methylated in both, but had a higher methylation ratio in CMS1. Comparing CMS1 and CMS4, TBX21 was the only gene downregulated, hypomethylated, and highly correlated with CTL scores in CMS4 patients. Conclusions: We found six genes differentially expressed, differentially methylated, and highly correlated with CTL infiltration when comparing CMS1 to other CMS groups. Specifically, TBX21 was the only gene highly correlated with CTL scores with differential gene expression and methylation in CMS2-4 when compared to CMS1. Thus, T-bet may be a critical regulator of T cell responses in CRC.

Misregulation of the Dependence Receptor DCC and its Upstream lincRNA, LOC100287225, in Colorectal Cancer

2015 ◽  
Vol 103 (1) ◽  
pp. 40-43 ◽  
Author(s):  
Mina Kazemzadeh ◽  
Reza Safaralizadeh ◽  
Mohammad Ali HosseinPour feizi ◽  
Mohammad Hossein Somi ◽  
Behrooz Shokoohi
Keyword(s):  
Gene Expression ◽  
Colorectal Cancer ◽  
Regulation Of Gene Expression ◽  
Cellular Processes ◽  
Qrt Pcr ◽  
Cis Regulation ◽  
Tumor Tissues ◽  
Non Coding Rnas ◽  
Colorectal Cancer Patients ◽  
Dependence Receptor

Background Long non-coding RNAs (lncRNAs), a class of regulatory RNAs, play a major role in various cellular processes. Long intergenic non-coding RNAs (lincRNAs), a subclass of lncRNAs, are involved in the trans- and cis-regulation of gene expression. In the case of cis-regulation, by recruiting chromatin-modifying complexes, lincRNAs influence adjacent gene expression. Methods We used quantitative real-time reverse-transcription polymerase chain reaction (qRT-PCR) to evaluate the coexpression of LOC100287225, a lincRNA, and DCC, one of its adjacent genes that is often decreased in colorectal cancer, in pairs of tumor and adjacent tumor-free tissues of 30 colorectal cancer patients. Results The qRT-PCR results revealed the misregulation of these genes during tumorigenesis. Their relative expression levels were significantly lower in tumor tissues than adjacent tumor-free tissues. However, the analysis found no significant correlation between reduced expression of these genes. Conclusions Our study demonstrated the concurrent misregulation of DCC and LOC100287225 in colorectal cancer.

scholarly journals Global Analysis of the Impact of Environmental Perturbation on cis-Regulation of Gene Expression

PLoS Genetics ◽  
2011 ◽  
Vol 7 (1) ◽  
pp. e1001279 ◽  
Author(s):  
Elin Grundberg ◽  
Veronique Adoue ◽  
Tony Kwan ◽  
Bing Ge ◽  
Qing Ling Duan ◽  
...  
Keyword(s):  
Gene Expression ◽  
Global Analysis ◽  
Regulation Of Gene Expression ◽  
Environmental Perturbation ◽  
Cis Regulation ◽  
The Impact

scholarly journals Distribution of β-lactamase genes of Klebsiella pneumoniae isolates in Zhejiang province, China, and regulation of gene expression

2017 ◽  
Vol 69 (3) ◽  
pp. 399-407
Author(s):  
Jin-Fang Zhao ◽  
Qiang Wang ◽  
Yu-Mei Ge ◽  
Pan-Li Tan ◽  
Yi-Min Chen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Klebsiella Pneumoniae ◽  
Histidine Kinase ◽  
Kinase Inhibitor ◽  
Regulation Of Gene Expression ◽  
Confirmatory Test ◽  
Signaling Systems ◽  
Qrt Pcr ◽  
Lactamase Gene ◽  
M 14

Klebsiella pneumoniae is a common causative agent of nosocomial infections with a high level of resistance toward ?-lactam antibiotics. Our previous study showed that TEM-1 and SHV-11 are the predominant ?-lactamase-encoding genes of K. pneumoniae isolates in the Zhejiangarea, China. In this study, more clinical K. pneumoniae isolates were collected for detecting their ?-lactamase-encoding gene profiles by PCR and sequencing. qRT-PCR was then performed to determine the role of cefotaxime or penicillin in low concentrations to induce the ?-lactamase gene expression of K. pneumoniae isolates. Moreover, the K. pneumoniae isolates were pretreated with closantel (CLO), a histidine kinase inhibitor, before antibiotic treatment, and qRT-PCR and the ?-lactamase phenotype confirmatory test were then applied to determine the effect of CLO on the expression of the ?-lactamase genes. The results showed that, except for KPC-2, the 1/4 MIC cefotaxime or penicillin induced significant mRNA elevation of the TEM-1, CTX-M-14, SHV-11 and OXA-1?-lactamase genes, but this induction could be inhibited by CLO. After pretreatment withCLO,78.4~81.4%of the ?-lactam-resistant isolates became sensitive and the positive rate of the ?-lactamase production phenotype in the isolates was decreased from 100% to 27.1%. The data indicate thatTEM-1 (70.7%), SHV-11 (64.2%) and CTX-M-14 (40.5%) are the predominant ?-lactamase genes of the K. pneumoniae isolates in Zhejiang and sublethal dosage of ?-lactam antibiotics can induce the ?-lactamase gene expression of K. pneumoniae through histidine kinase-mediated two-component signaling systems.

High-Throughput Screening of Alternative Micro-Metastasis-Specific Gene Predictors of Circulating Osteosarcoma Cells

2021 ◽  
Author(s):  
Pattaralawan Sittiju ◽  
Parunya Chaiyawat ◽  
Dumnoensun Pruksakorn ◽  
Jeerawan Klangjorhor ◽  
Weerinrada Wongrin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Candidate Genes ◽  
High Throughput Screening ◽  
Characteristic Curve ◽  
Diagnostic Model ◽  
Specific Gene ◽  
Molecular Technique ◽  
Potential Candidate ◽  
Discriminative Ability ◽  
Qrt Pcr

Abstract Background Current techniques to identify circulating-tumor cells (CTCs) in osteosarcoma (OS), which are an indication of a poor prognosis in cases of intermediate levels of metastasis, are complicated and time-consuming. This study investigated the efficacy of quantitative reverse transcription PCR (qRT-PCR), a molecular technique that is available in most laboratories, for detection of CTCs in buffy coat samples of OS patients and healthy donors. Methods Previously published reports on data-reviewing and retrieval of data by calculation of differential gene expression from the Gene Expression Omnibus (GEO) database repository were reviewed identify candidate genes. Following analysis of the expression of the candidate genes identified a diagnostic model for detection of specific gene expression was derived using binary logistic regression with a multivariable fractional polynomial (MFP) algorithm. Results A model incorporating VIM, ezrin, COL1A2, and PLS3 exhibited an outstanding discriminative ability as determined by the receiver operating characteristic curve (AUC = 0.9896, 95%CI 0.9695, 1.000). At the probability cut-off value 0.2943, the sensitivity and the specificity of the model for detection of OS were 100% (95%CI 94.8, 100.0) and 96.49% (95%CI 87.9, 99.6), respectively. Conclusion The qRT-PCR can identify the existence of OS circulating cells by detection of potential candidate genes (VIM, Ezrin, COL1A2 and PLS3). Thus, these genes are worthy to be considered diagnostic biomarkers and alternative micro-metastasis predictors for OS.

Pan-cancer analysis on microRNA-mediated gene activation

2018 ◽  
Author(s):  
Hua Tan ◽  
Shan Huang ◽  
Zhigang Zhang ◽  
Xiaohua Qian ◽  
Peiqing Sun ◽  
...  
Keyword(s):  
Gene Expression ◽  
Target Genes ◽  
Immune Cell ◽  
Critical Role ◽  
Mirna Gene ◽  
Regulation Of Gene Expression ◽  
The Cancer Genome Atlas ◽  
Positive Correlation ◽  
Positive Correlations

ABSTRACTWhile microRNAs (miRNAs) were widely considered to repress target genes at mRNA and/or protein levels, emerging evidence from in vitro experiments has shown that miRNAs can also activate gene expression in particular contexts. However, this counterintuitive observation has rarely been reported or interpreted in in vivo conditions. We systematically explored the positive correlation between miRNA and gene expressions and its potential implications in tumorigenesis, based on 8375 patient samples across 31 major human cancers from The Cancer Genome Atlas (TCGA). Results indicated that positive miRNA-gene correlations are surprisingly prevalent and consistent across cancer types, and show distinct patterns than negative correlations. The top-ranked positive correlations are significantly involved in the immune cell differentiation and cell membrane signaling related processes, and display strong power in stratifying patients in terms of survival rate, demonstrating their promising clinical relevance. Although intragenic miRNAs generally tend to co-express with their host genes, a substantial portion of miRNAs shows no obvious correlation with their host gene due to non-conservation. A miRNA can upregulate a gene by inhibiting its upstream suppressor, or shares transcription factors with that gene, both leading to positive correlation. The miRNA/gene sites associated with the top-ranked positive correlations are more likely to form super-enhancers compared to randomly chosen pairs, suggesting a potential epigenetics mechanism underlying the upregulation. Wet-lab experiments revealed that positive correlations partially remain in the in vitro condition. Our study provides the field with new perspectives on the critical role of miRNA in gene regulation and novel insights regarding the complex mechanisms underlying miRNA functions, and reveals the clinical significance of the potential positive regulation of gene expression by miRNA.

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