scholarly journals miR-10a and miR-204 as a Potential Prognostic Indicator in Low-Grade Gliomas

2017 ◽  
Vol 16 ◽  
pp. 117693511770287 ◽  
Author(s):  
Ju Cheol Son ◽  
Hyoung Oh Jeong ◽  
Deaui Park ◽  
Sang Gyoon No ◽  
Eun Kyeong Lee ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Target Genes ◽  
Prognostic Indicator ◽  
The Cancer Genome Atlas ◽  
Differentially Expressed ◽  
Low Grade ◽  
Low Grade Gliomas ◽  
Clinical Biomarkers ◽  
Differentially Expressed Mirnas ◽  
Cancer Genome Atlas

This study aimed to identify and characterize microRNAs (miRNAs) that are related to radiosensitivity in low-grade gliomas (LGGs). The miRNA expression levels in radiosensitive and radioresistant LGGs were compared using The Cancer Genome Atlas database, and differentially expressed miRNAs were identified using the EBSeq package. The miRNA target genes were predicted using Web databases. Fifteen miRNAs were differentially expressed between the groups, with miR-10a and miR-204 being related to overall survival (OS) of patients with LGG. Patients with upregulated miR-10a expression had a higher mortality rate and shorter OS time, whereas patients with downregulated miR-204 expression had a lower mortality rate and longer OS time. Two genes, HSP90AA1 and CREB5, were targets for both miRNAs. Thus, this study suggests that expression of miR-10a and miR-204 is significantly related to both radiosensitivity and the survival of patients with LGG. These miRNAs could therefore act as clinical biomarkers for LGG prognosis and diagnosis.

scholarly journals YTHDC1-mediated VPS25 regulates cell cycle by targeting JAK-STAT signaling in human glioma cells

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaolong Zhu ◽  
Hui Yang ◽  
Mengying Zhang ◽  
Xingwei Wu ◽  
Lan Jiang ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Glioma Cells ◽  
Prognostic Indicator ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Endosomal Sorting ◽  
Cancer Genome Atlas

Abstract Background Glioma is a common type of malignant brain tumor with a high mortality and relapse rate. The endosomal sorting complex required for transport (ESCRT) has been reported to be involved in tumorigenesis. However, the molecular mechanisms have not been clarified. Methods Bioinformatics was used to screen the ESCRT subunits highly expressed in glioma tissues from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The function of the ESCRT subunits in glioma cells was examined in vitro. Transcriptome sequencing analyzed the target genes and signaling pathways affected by the ESCRT subunit. Finally, the relationship between m6A (N6-methyladenosine) modification and high expression of the ESCRT subunit was studied. Results VPS25 was upregulated in glioma tissues, which was correlated with poor prognosis in glioma patients. Furthermore, VPS25 knockdown inhibited the proliferation, blocked the cell cycle, and promoted apoptosis in glioma cells. Meanwhile, VPS25 induced a G0/G1 phase arrest of the cell cycle in glioma cells by directly mediating p21, CDK2, and cyclin E expression, and JAK-signal transducer and activator of transcription (STAT) activation. Finally, YTHDC1 inhibited glioma proliferation by reducing the expression of VPS25. Conclusion These results suggest that VPS25 is a promising prognostic indicator and a potential therapeutic target for glioma.

Identification of Three Differentially Expressed miRNAs as Potential Biomarkers for Lung Adenocarcinoma Prognosis

2020 ◽  
Vol 23 (2) ◽  
pp. 148-156
Author(s):  
Wei Wang ◽  
Bin Liu ◽  
Xiaoran Duan ◽  
Xiaolei Feng ◽  
Tuanwei Wang ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Regression Model ◽  
Lupus Erythematosus ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
The Cancer Genome Atlas ◽  
Differentially Expressed ◽  
Lasso Regression ◽  
Differentially Expressed Mirnas ◽  
Selection Operator

Objective: The aim of this study areto screen MicroRNAs (miRNAs) related to the prognosis of lung adenocarcinoma (LUAD) and to explore the possible molecular mechanisms. Methods: The data for a total of 535 patients with LUAD data were downloaded from The Cancer Genome Atlas (TCGA) database. The miRNAs for LUAD prognosis were screened by both Cox risk proportional regression model and Last Absolute Shrinkage and Selection Operator (LASSO) regression model. The performances of the models were verified by time-dependent Receiver Operating Characteristic (ROC) curve. The possible biological processes linked to the miRNAs’ target genes were analyzed by Gene Ontology (GO), Kyoto gene and genome encyclopedia (KEGG). Results: Among 127 differentially expressed miRNAs identified from the screening analysis, there are 111 up-regulated and 16 down-regulated miRNAs. Three of them, hsa-miR-1293, hsa-miR-490 and hsa-miR- 5571, were also significantly associated with the survival of the LUAD patients. The targets of the three miRNAs are significantly enriched in systemic lupus erythematosus pathways. Conclusion: Hsa-miR-1293, hsa-miR-490 and hsa-miR-5571 can be potentially used as novel biomarkers for the prognosis prediction of LUAD.

scholarly journals Identifying Differentially Expressed MicroRNAs Between Cirrhotic and Non-Cirrhotic Hepatocellular Carcinoma and Exploring Their Functions Using Bioinformatic Analysis

2018 ◽  
Vol 48 (4) ◽  
pp. 1443-1456 ◽  
Author(s):  
Ying Mei ◽  
Yu You ◽  
Jin Xia ◽  
Jian-Ping Gong ◽  
Yun-Bing Wang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Bioinformatic Analysis ◽  
The Cancer Genome Atlas ◽  
Differentially Expressed ◽  
Online Tools ◽  
Tumor Stages ◽  
Differentially Expressed Mirnas ◽  
Cancer Genome Atlas ◽  
Cirrhotic Patients ◽  
Independent Risk Factors

Background/Aims: Few studies have been designed to directly investigate the exact mechanisms underlying the different phenotypes between cirrhotic and non-cirrhotic hepatocellular carcinoma (HCC). This study aimed to illuminate the incidence and developmental mechanisms for both types of HCC through differentially expressed microRNAs (miRNAs) using bioinformatic analysis. Methods: The miRNA-seq data and clinical data of patients (from The Cancer Genome Atlas (TCGA) database) were utilized to determine differentially expressed miRNAs between cirrhotic and non-cirrhotic HCC. Afterwards, the function of the selected miRNAs was predicted with online tools. Furthermore, the miRNA expression and clinical significance were validated by external datasets and our experiment. Results: The present study included 135 non-cirrhotic and 80 cirrhotic patients to find differentially expressed miRNAs. Among them, four miRNAs (mir-1296, mir-23c, mir-149, and mir-95) were finally selected for further validation and analysis. Correlation analysis found that two miRNAs are greatly associated with the non-cirrhotic HCC patients’ clinical traits, such as the T, M, and N tumor stages. However, only mir-23c was associated with the cirrhotic HCC patients’ tumor T and N stages. Furthermore, survival analysis revealed that increased mir-149 in non-cirrhotic HCC, patients’ age and the existence of vessels in the tumor in cirrhotic HCC were independent risk factors for the patients’ postoperative overall survival. Functional and interaction analyses also supported the notion that these miRNAs function through some pathways that influence the behavior of the HCC. These results are strongly supported by analysis of extra datasets and our experiment. Conclusions: The cirrhotic and non-cirrhotic HCC types involve differentially expressed miRNAs, which are correlated with distinctive pathological traits. To some extent, non-cirrhotic HCC seems more dependent on miRNA network regulation, but additional studies are needed to confirm this conclusion.

scholarly journals Involvement of Differentially Expressed microRNAs in the PEGylated Liposome Encapsulated 188Rhenium-Mediated Suppression of Orthotopic Hypopharyngeal Tumor

Molecules ◽  
2020 ◽  
Vol 25 (16) ◽  
pp. 3609
Author(s):  
Bing-Ze Lin ◽  
Shen-Ying Wan ◽  
Min-Ying Lin ◽  
Chih-Hsien Chang ◽  
Ting-Wen Chen ◽  
...  
Keyword(s):  
Therapeutic Efficacy ◽  
Survival Rates ◽  
Clinical Information ◽  
Hypopharyngeal Cancer ◽  
The Cancer Genome Atlas ◽  
Differentially Expressed ◽  
Differentially Expressed Mirnas ◽  
Cancer Genome Atlas ◽  
Next Generation Sequencing Ngs

Hypopharyngeal cancer (HPC) accounts for the lowest survival rate among all types of head and neck cancers (HNSCC). However, the therapeutic approach for HPC still needs to be investigated. In this study, a theranostic 188Re-liposome was prepared to treat orthotopic HPC tumors and analyze the deregulated microRNA expressive profiles. The therapeutic efficacy of 188Re-liposome on HPC tumors was evaluated using bioluminescent imaging followed by next generation sequencing (NGS) analysis, in order to address the deregulated microRNAs and associated signaling pathways. The differentially expressed microRNAs were also confirmed using clinical HNSCC samples and clinical information from The Cancer Genome Atlas (TCGA) database. Repeated doses of 188Re-liposome were administrated to tumor-bearing mice, and the tumor growth was apparently suppressed after treatment. For NGS analysis, 13 and 9 microRNAs were respectively up-regulated and down-regulated when the cutoffs of fold change were set to 5. Additionally, miR-206-3p and miR-142-5p represented the highest fold of up-regulation and down-regulation by 188Re-liposome, respectively. According to Differentially Expressed MiRNAs in human Cancers (dbDEMC) analysis, most of 188Re-liposome up-regulated microRNAs were categorized as tumor suppressors, while down-regulated microRNAs were oncogenic. The KEGG pathway analysis showed that cancer-related pathways and olfactory and taste transduction accounted for the top pathways affected by 188Re-liposome. 188Re-liposome down-regulated microRNAs, including miR-143, miR-6723, miR-944, and miR-136 were associated with lower survival rates at a high expressive level. 188Re-liposome could suppress the HPC tumors in vivo, and the therapeutic efficacy was associated with the deregulation of microRNAs that could be considered as a prognostic factor.

scholarly journals Bioinformatics Analysis of Differentially Expressed Genes and miRNAs in Low-Grade Gliomas

2020 ◽  
Vol 19 ◽  
pp. 117693512096969
Author(s):  
Mohammed Amine Bendahou ◽  
Azeddine Ibrahimi ◽  
Mahjouba Boutarbouch
Keyword(s):  
Large Scale ◽  
Regulation Of Gene Expression ◽  
The Cancer Genome Atlas ◽  
Low Grade ◽  
Molecular Precursors ◽  
Low Grade Gliomas ◽  
Micro Rnas ◽  
Limma Package ◽  
Cancer Genome Atlas ◽  
Primary Intracranial Tumor

Low-grade glioma is the most common type of primary intracranial tumor. In the last 3 years, new observations of molecular precursors in adults with gliomas have led to a modification in the histopathologic classification of these brain tumors. Among the biomarkers that have been highlighted, we have the micro RNAs (miRNAs) which play a crucial role in the regulation of gene expression and the long noncoding RNAs (lncRNAs) controlling various cellular and metabolic pathways. In our study, large-scale data on sequenced RNA and miRNAs from 516 patients were obtained from the Cancer Genome Atlas database by the TCGAbiolinks package. We identified the differential expression of miRNAs and genes using the Limma package and then we used the ClusterProfiler package for annotations of the biological pathways of the expressed genes, the survival package to estimate the survival analysis, and the GDCRNATools package to determine miRNAs-genes and miRNAs-lncRNAs interactions. We obtained a significant correlation between the miRNAs identified and the overall survival of the patients (log-rank P < .05) and we have theoretically proposed a novel network of miRNAs involved in low-grade gliomas, specifically astrocytomas and oligodendrogliomas, which combine both genes and lncRNAs.

scholarly journals The Cancer Genome Atlas expression profiles of low-grade gliomas

2014 ◽  
Vol 36 (4) ◽  
pp. E23 ◽  
Author(s):  
David D. Gonda ◽  
Vincent J. Cheung ◽  
Karra A. Muller ◽  
Amit Goyal ◽  
Bob S. Carter ◽  
...  
Keyword(s):  
Cpg Island ◽  
Expression Profiles ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Molecular Characteristics ◽  
Low Grade ◽  
Cpg Island Methylator Phenotype ◽  
Low Grade Gliomas ◽  
Cancer Genome Atlas ◽  
Genome Atlas

Differentiating between low-grade gliomas (LGGs) of astrocytic and oligodendroglial origin remains a major challenge in neurooncology. Here the authors analyzed The Cancer Genome Atlas (TCGA) profiles of LGGs with the goal of identifying distinct molecular characteristics that would afford accurate and reliable discrimination of astrocytic and oligodendroglial tumors. They found that 1) oligodendrogliomas are more likely to exhibit the glioma-CpG island methylator phenotype (G-CIMP), relative to low-grade astrocytomas; 2) relative to oligodendrogliomas, low-grade astrocytomas exhibit a higher expression of genes related to mitosis, replication, and inflammation; and 3) low-grade astrocytic tumors harbor microRNA profiles similar to those previously described for glioblastoma tumors. Orthogonal intersection of these molecular characteristics with existing molecular markers, such as IDH1 mutation, TP53 mutation, and 1p19q status, should facilitate accurate and reliable pathological diagnosis of LGGs.

scholarly journals Tumor mutational burden predicts survival in patients with low-grade gliomas expressing mutated IDH1

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Mahmoud S Alghamri ◽  
Rohit Thalla ◽  
Ruthvik P Avvari ◽  
Ali Dabaja ◽  
Ayman Taher ◽  
...  
Keyword(s):  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Low Grade ◽  
Low Grade Gliomas ◽  
Mutational Burden ◽  
Gene Sets ◽  
Tumor Mutational Burden ◽  
Cancer Genome Atlas ◽  
Gene Ontologies

Abstract Background Gliomas are the most common primary brain tumors. High-Grade Gliomas have a median survival (MS) of 18 months, while Low-Grade Gliomas (LGGs) have an MS of approximately 7.3 years. Seventy-six percent of patients with LGG express mutated isocitrate dehydrogenase (mIDH) enzyme. Survival of these patients ranges from 1 to 15 years, and tumor mutational burden ranges from 0.28 to 3.85 somatic mutations/megabase per tumor. We tested the hypothesis that the tumor mutational burden would predict the survival of patients with tumors bearing mIDH. Methods We analyzed the effect of tumor mutational burden on patients’ survival using clinical and genomic data of 1199 glioma patients from The Cancer Genome Atlas and validated our results using the Glioma Longitudinal AnalySiS consortium. Results High tumor mutational burden negatively correlates with the survival of patients with LGG harboring mIDH (P = .005). This effect was significant for both Oligodendroglioma (LGG-mIDH-O; MS = 2379 vs 4459 days in high vs low, respectively; P = .005) and Astrocytoma (LGG-mIDH-A; MS = 2286 vs 4412 days in high vs low respectively; P = .005). There was no differential representation of frequently mutated genes (eg, TP53, ATRX, CIC, and FUBP) in either group. Gene set enrichment analysis revealed an enrichment in Gene Ontologies related to cell cycle, DNA-damage response in high versus low tumor mutational burden. Finally, we identified 6 gene sets that predict survival for LGG-mIDH-A and LGG-mIDH-O. Conclusions we demonstrate that tumor mutational burden is a powerful, robust, and clinically relevant prognostic factor of MS in mIDH patients.

scholarly journals Investigation of candidate biomarkers and prognostic values in endometrial cancer based on bioinformatics analysis

2019 ◽  
Author(s):  
Yaowei Li ◽  
Li Li
Keyword(s):  
Endometrial Cancer ◽  
Target Genes ◽  
System Development ◽  
Gynecological Cancer ◽  
Interaction Network ◽  
The Cancer Genome Atlas ◽  
Differentially Expressed ◽  
Hub Genes ◽  
Cyclin E1 ◽  
Differentially Expressed Mirnas

Abstract Background: Endometrial cancer is a common gynecological cancer whose incidence is increasing annually worldwide. However, the biomarkers that provide the prognosis and progression of endometrial cancer are still lacking. Methods: The differentially expressed mRNAs and miRNAs were screened out using mRNA and miRNA expression data of endometrial cancer from Gene Expression Omnibus, and then validated in the Cancer Genome Atlas. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were conducted using the Database for Annotation,Visualization and Integrated Discovery. A protein–protein interaction network was constructed by STRING and visualized using Cytoscape. OncoLnc was used for studying the prognostic effects of the hub genes. In addition, miRecords were used to predict target genes of differentially expressed miRNAs, and then a miRNA-mRNA regulatory network was constructed. Results: Two eligible human endometrial cancer datasets ( GSE17025 and GSE25405) met the requirement. A total of 520 differentially expressed mRNAs and 30 differentially expressed miRNAs were identified. These differentially expressed mRNAs were mainly enriched in cell cycle, skeletal system development, vasculature development, oocyte maturation, and oocyte meiosis signaling pathways. 160 pairs of differentially expressed miRNAs and mRNAs, including 22 differentially expressed miRNAs and 71 overlapping differentially expressed mRNAs, were validated in endometrial cancer samples using starBase v2.0 project. And the prognosis analysis found that Cyclin E1 (CCNE1, one of the 82 hub genes, which was correlated with hsa-miR-195) was correlated with significantly worse overall survival in endometrial cancer patients. Conclusions: These hub genes and differentially expressed miRNAs might be used as molecular targets for the treatment of endometrial cancer and prognostic biomarkers for endometrial cancer.

scholarly journals Bioinformatic screening for candidate biomarkers and their prognostic values in endometrial cancer

2020 ◽  
Author(s):  
Yaowei Li ◽  
Li Li
Keyword(s):  
Endometrial Cancer ◽  
Target Genes ◽  
System Development ◽  
Gynecological Cancer ◽  
Interaction Network ◽  
The Cancer Genome Atlas ◽  
Differentially Expressed ◽  
Hub Genes ◽  
Cyclin E1 ◽  
Differentially Expressed Mirnas

Abstract Background: Endometrial cancer is a common gynecological cancer with annually increasing incidence worldwide. However, the biomarkers that provide prognosis and progression for this disease remain elusive. Methods: We analysed endometrial cancers mRNA and miRNA expression data from Gene Expression Omnibus, and searched for differentially expressed candidates, and subsequently validated them with the data from the Cancer Genome Atlas. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using the Database for Annotation, Visualization and Integrated Discovery (DAVID). A protein-protein interaction network was constructed by STRING and visualized using Cytoscape. The prognostic values of the identified hub genes were measured with OncoLnc. In addition, miRecords was used to predict target genes of differentially expressed miRNAs, and finally a miRNA-mRNA regulatory network was constructed.Results: Two eligible human endometrial cancer datasets (GSE17025 and GSE25405) were selected for the study. A total of 520 differentially expressed mRNAs and 30 differentially expressed miRNAs were identified. These mRNAs were mainly enriched in cell cycle, skeletal system development, vasculature development, oocyte maturation, and oocyte meiosis signalling pathways. A total of 160 pairs of differentially expressed miRNAs and mRNAs, including 22 differentially expressed miRNAs and 71 overlapping differentially expressed mRNAs, were validated in endometrial cancer samples using starBase v2.0 project. The prognosis analysis revealed that Cyclin E1 (CCNE1, one of the 82 hub genes, which correlated with hsa-miR-195 and hsa-miR-424) was significantly linked to a worse overall survival in endometrial cancer patients. Conclusions: The hub genes and differentially expressed miRNAs identified in this study might be used as prognostic biomarkers for endometrial cancer and molecular targets for its treatment.

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