Constructing mRNA, miRNA, circRNA and lncRNA Regulatory Network by Analysis of Microarray data in Breast Cancer

Abstract Background. Luminal tumors are the utmost frequent subtype of breast cancer (BC). Despite luminal BC has relatively good prognosis, in a subset of patients, disease relapse occursto endocrine therapy ;hence, there is a critical need to identify new strategies to promote the early detection and more effective therapies. Noncoding RNAs including microRNAs, long noncoding RNAs, and circular RNAs can interact with and modulate each other via diverse molecular mechanisms and make a complicated regulatory network.ncRNAs participate in diverse biological processes and disorders such as breast tumors. Therefore, understanding their regulatory mechanisms allow to develop new field of research and therapeutic options for BC patients.Methods. In this study, BC-specific RNA expression profiles including mRNAs, miRNAs, lncRNAs, and circRNAs were retrievedfrom Gene Expression Omnibus microarray datasets, and differentially expressed(DE) items were obtained. Disease ontology, functional and pathway enrichment analyses were executed. The protein-protein interaction network was constructed, and hub mRNAs were extracted.The prognostic value of hub mRNAs in patients of BC were performed. Subsequently, a ceRNA network was established.Results. In total, 691 DE genes, 122 DE lncRNAs, 60 DE miRNAs, and 38 DE circRNAs in breast tumor samples were compared with normal samples. Subsequently, 12 hub-genesincluding FOXO3, RHOA, EZH2, KIT, HSP90B1, NCOA3, RAC1, IGF1, CAV1, CXCR4, CCNB1, and ITGB1 were screened from the network. Kaplan-Meier Plotter results revealed that FOXO3 and RHOA were a suitable prognostic marker for patients with breast cancer. Finally, we determined possible ncRNAs (circ0007535, circ0002727, circ0005240, circ0014130, circ0044927, circ0007001, circ0089153,NORAD, MALAT1, TUG1, ZFAS1, OPI5-AS1, miR183,miR182, miR101, miR200c, miR200b, miR149, miR342, and miR1207) which could crosstalk with each other to regulateFOXO3 and RHOA through different regulatory patterns. Conclusion. These data might improve our perception of the breast tumorigenesis and could develop new field of research and therapeutic options for BC patients.

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Constructing MRNA, miRNA, circRNA and lncRNA Regulatory Network by Analysis of Microarray Data in Breast Cancer

10.21203/rs.3.rs-603108/v1 ◽

2021 ◽

Author(s):

Bita Hassani ◽

Hasan Mollanoori ◽

Farkhondeh Pouresmaeili ◽

Yazdan Asgari ◽

Soudeh Ghafouri-Fard

Keyword(s):

Breast Cancer ◽

Regulatory Network ◽

Molecular Mechanisms ◽

Expression Profiles ◽

Noncoding Rnas ◽

Interaction Network ◽

Good Prognosis ◽

Therapeutic Options ◽

Circular Rnas ◽

Breast Tumorigenesis

Abstract Background. Luminal tumors are the utmost frequent subtype of breast cancer (BC). Despite luminal BC has relatively good prognosis, in a subset of patients, disease relapse occurs to endocrine therapy ;hence, there is a critical need to identify new strategies to promote the early detection and more effective therapies. Noncoding RNAs including microRNAs (miRNAs), long noncoding RNAs (lncRNAs), and circular RNAs (circRNAs) can interact with and modulate each other via diverse molecular mechanisms and make a complicated regulatory network. ncRNAs participate in diverse biological processes and disorders such as breast tumors. Therefore, understanding their regulatory mechanisms allow to develop new field of research and therapeutic options for BC patients. Methods. In this study, BC-specific RNA expression profiles including mRNAs, miRNAs, lncRNAs, and circRNAs were retrieved from Gene Expression Omnibus (GEO) microarray datasets, and differentially expressed (DE) items were obtained. Disease ontology, functional and pathway enrichment analyses were executed. The protein-protein interaction network was constructed, and hub mRNAs were extracted. The prognostic value of hub mRNAs in patients of BC were performed using GEPIA. Subsequently, a ceRNA network was established by Cytoscape.Results. In total, 691 DE genes, 122 DE lncRNAs, 60 DE miRNAs, and 38 DE circRNAs in breast tumor samples were compared with normal samples. Subsequently, 12 hub-genes including FOXO3, RHOA, EZH2, KIT, HSP90B1, NCOA3, RAC1, IGF1, CAV1, CXCR4, CCNB1, and ITGB1 were screened from the network. Kaplan-Meier Plotter results revealed that FOXO3 and RHOA were a suitable prognostic marker for patients with breast cancer. Finally, we determined possible ncRNAs (circ0007535, circ0002727, circ0005240, circ0014130, circ0044927, circ0007001, circ0089153, NORAD, MALAT1, TUG1, ZFAS1, OPI5-AS1, miR183, miR182, miR101, miR200c, miR200b, miR149, miR342, and miR1207) which could crosstalk with each other to regulate FOXO3 and RHOA through different regulatory patterns. Conclusion. These data might improve our perception of the breast tumorigenesis and could develop new field of research and therapeutic options for BC patients.

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Identification of Potential Key Genes and Molecular Mechanisms of Medulloblastoma Based on Integrated Bioinformatics Approach

BioMed Research International ◽

10.1155/2022/1776082 ◽

2022 ◽

Vol 2022 ◽

pp. 1-17

Author(s):

Md. Rakibul Islam ◽

Lway Faisal Abdulrazak ◽

Mohammad Khursheed Alam ◽

Bikash Kumar Paul ◽

Kawsar Ahmed ◽

...

Keyword(s):

Gene Expression ◽

Molecular Mechanisms ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Interaction Network ◽

Enrichment Analysis ◽

Clinical Information ◽

Gene Expression Omnibus ◽

Hub Genes ◽

New Treatments

Background. Medulloblastoma (MB) is the most occurring brain cancer that mostly happens in childhood age. This cancer starts in the cerebellum part of the brain. This study is designed to screen novel and significant biomarkers, which may perform as potential prognostic biomarkers and therapeutic targets in MB. Methods. A total of 103 MB-related samples from three gene expression profiles of GSE22139, GSE37418, and GSE86574 were downloaded from the Gene Expression Omnibus (GEO). Applying the limma package, all three datasets were analyzed, and 1065 mutual DEGs were identified including 408 overexpressed and 657 underexpressed with the minimum cut-off criteria of ∣ log fold change ∣ > 1 and P < 0.05 . The Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and WikiPathways enrichment analyses were executed to discover the internal functions of the mutual DEGs. The outcomes of enrichment analysis showed that the common DEGs were significantly connected with MB progression and development. The Search Tool for Retrieval of Interacting Genes (STRING) database was used to construct the interaction network, and the network was displayed using the Cytoscape tool and applying connectivity and stress value methods of cytoHubba plugin 35 hub genes were identified from the whole network. Results. Four key clusters were identified using the PEWCC 1.0 method. Additionally, the survival analysis of hub genes was brought out based on clinical information of 612 MB patients. This bioinformatics analysis may help to define the pathogenesis and originate new treatments for MB.

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Overexpression of CCNE1 confers a poorer prognostic in triple negative breast cancer identified by bioinformatic analysis

10.21203/rs.3.rs-50005/v1 ◽

2020 ◽

Author(s):

Qianqian Yuan ◽

Lewei Zheng ◽

Yiqin Liao ◽

Gaosong Wu

Keyword(s):

Breast Cancer ◽

Survival Analysis ◽

Triple Negative Breast Cancer ◽

Molecular Mechanisms ◽

Triple Negative ◽

Cancer Survival ◽

Process Analysis ◽

Interaction Network ◽

Bioinformatic Analysis ◽

Gene Expression Omnibus

Abstract Background. Triple-negative breast cancer (TNBC) is a major subtype of breast cancer. Due to the lack of effective therapeutic targets, the prognosis is poor. In order to find an effective target, despite many efforts, the molecular mechanisms of TNBC are still not well understood which remain to be a profound clinical challenge.Methods. To identify the candidate genes in the carcinogenesis and progression of TNBC, microarray datasets GSE36693 and GSE65216 were downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified, and functional and pathway enrichment analyses were performed using the Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) databases via DAVID. We constructed the protein-protein interaction network (PPI) and the performed the module analysis using STRING and Cytoscape. Then we reanalyzed the selected DEGs genes and the survival analysis was performed using cBioportal.Results. A total of 140 DEGs were identified, consisting of 69 upregulated genes and 71 downregulated genes. Three hub genes were up-regulated among the selected genes from PPI and biological process analysis uncovered the fact that these genes were mainly enriched in p53 pathway and the pathways in cancer. Survival analysis showed that only CCNE1 may be involved in the carcinogenesis, invasion or recurrence of TNBC. Conclusion. CCNE1 could confer a poorer prognostic in TNBC identified by bioinformatic analysis and play key roles in the progression of TNBC which may contribute potential targets for the diagnosis, treatment and prognosis assessment of TNBC.

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Overexpression of CCNE1 confers a poorer prognosis in triple-negative breast cancer identified by bioinformatic analysis

World Journal of Surgical Oncology ◽

10.1186/s12957-021-02200-x ◽

2021 ◽

Vol 19 (1) ◽

Author(s):

Qianqian Yuan ◽

Lewei Zheng ◽

Yiqin Liao ◽

Gaosong Wu

Keyword(s):

Breast Cancer ◽

Survival Analysis ◽

Triple Negative Breast Cancer ◽

Molecular Mechanisms ◽

Triple Negative ◽

Cancer Survival ◽

Process Analysis ◽

Interaction Network ◽

Bioinformatic Analysis ◽

Gene Expression Omnibus

Abstract Background Triple-negative breast cancer (TNBC) is a major subtype of breast cancer. Due to the lack of effective therapeutic targets, the prognosis is poor. In order to find an effective target, despite many efforts, the molecular mechanisms of TNBC are still not well understood which remain to be a profound clinical challenge. Methods To identify the candidate genes in the carcinogenesis and progression of TNBC, microarray datasets GSE36693 and GSE65216 were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified, and functional and pathway enrichment analyses were performed using the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases via DAVID. We constructed the protein-protein interaction network (PPI) and performed the module analysis using STRING and Cytoscape. Then, we reanalyzed the selected DEG genes, and the survival analysis was performed using cBioportal. Results A total of 140 DEGs were identified, consisting of 69 upregulated genes and 71 downregulated genes. Three hub genes were upregulated among the selected genes from PPI, and biological process analysis uncovered the fact that these genes were mainly enriched in p53 pathway and the pathways in cancer. Survival analysis showed that only CCNE1 may be involved in the carcinogenesis, invasion, or recurrence of TNBC. The expression levels of CCNE1 were significantly higher in TNBC cells than non-TNBC cells that were detected by qRT-PCR (P < 0.05). Conclusion CCNE1 could confer a poorer prognosis in TNBC identified by bioinformatic analysis and plays key roles in the progression of TNBC which may contribute potential targets for the diagnosis, treatment, and prognosis assessment of TNBC.

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Overexpression of CCNE1 confers a poorer prognostic in triple negative breast cancer identified by bioinformatic analysis

10.21203/rs.3.rs-50005/v2 ◽

2021 ◽

Author(s):

Qianqian Yuan ◽

Lewei Zheng ◽

Yiqin Liao ◽

Gaosong Wu

Keyword(s):

Breast Cancer ◽

Survival Analysis ◽

Triple Negative Breast Cancer ◽

Molecular Mechanisms ◽

Triple Negative ◽

Cancer Survival ◽

Process Analysis ◽

Interaction Network ◽

Bioinformatic Analysis ◽

Gene Expression Omnibus

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Circular RNA hsa_circ_0000277 sequesters miR-4766-5p to upregulate LAMA1 and promote esophageal carcinoma progression

Cell Death and Disease ◽

10.1038/s41419-021-03911-5 ◽

2021 ◽

Vol 12 (7) ◽

Author(s):

Peng Li Zhou ◽

Zhengyang Wu ◽

Wenguang Zhang ◽

Miao Xu ◽

Jianzhuang Ren ◽

...

Keyword(s):

Molecular Mechanisms ◽

Bioinformatics Analysis ◽

Epithelial Mesenchymal Transition ◽

Expression Profiles ◽

Luciferase Reporter ◽

Migration And Invasion ◽

Circular Rnas ◽

Mesenchymal Transition ◽

Dismal Prognosis ◽

Advanced Tumor

AbstractGrowing evidence has indicated that circular RNAs (circRNAs) play a pivotal role as functional RNAs in diverse cancers. However, most circRNAs involved in esophageal squamous cell carcinoma (ESCC) remain undefined, and the underlying molecular mechanisms mediated by circRNAs are largely unclear. Here, we screened human circRNA expression profiles in ESCC tissues and found significantly increased expression of hsa_circ_0000277 (termed circPDE3B) in ESCC tissues and cell lines compared to the normal controls. Moreover, higher circPDE3B expression in patients with ESCC was correlated with advanced tumor-node-metastasis (TNM) stage and dismal prognosis. Functional experiments demonstrated that circPDE3B promoted the tumorigenesis and metastasis of ESCC cells in vitro and in vivo. Mechanistically, bioinformatics analysis, a dual-luciferase reporter assay, and anti-AGO2 RNA immunoprecipitation showed that circPDE3B could act as a competing endogenous RNA (ceRNA) by harboring miR-4766-5p to eliminate the inhibitory effect on the target gene laminin α1 (LAMA1). In addition, LAMA1 was significantly upregulated in ESCC tissues and was positively associated with the aggressive oncogenic phenotype. More importantly, rescue experiments revealed that the oncogenic role of circPDE3B in ESCC is partly dependent on the miR-4766-5p/LAMA1 axis. Furthermore, bioinformatics analysis combined with validation experiments showed that epithelial-mesenchymal transition (EMT) activation was involved in the oncogenic functions of the circPDE3B–miR-4766-5p/LAMA1 axis in ESCC. Taken together, we demonstrate for the first time that the circPDE3B/miR-4766-5p/LAMA1 axis functions as an oncogenic factor in promoting ESCC cell proliferation, migration, and invasion by inducing EMT, implying its potential prognostic and therapeutic significance in ESCC.

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SLC6A8-mediated intracellular creatine accumulation enhances hypoxic breast cancer cell survival via ameliorating oxidative stress

Journal of Experimental & Clinical Cancer Research ◽

10.1186/s13046-021-01933-7 ◽

2021 ◽

Vol 40 (1) ◽

Author(s):

Qiao Li ◽

Manran Liu ◽

Yan Sun ◽

Ting Jin ◽

Pengpeng Zhu ◽

...

Keyword(s):

Breast Cancer ◽

Overall Survival ◽

Molecular Mechanisms ◽

Expression Profiles ◽

Histological Grade ◽

Metabolic Adaptation ◽

Mitochondrial Activity ◽

Cell Viability Assay ◽

Ki 67 ◽

The Impact

Abstract Background Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer, with poor prognosis and limited treatment options. Hypoxia is a key hallmark of TNBC. Metabolic adaptation promotes progression of TNBC cells that are located within the hypoxic tumor regions. However, it is not well understood regarding the precise molecular mechanisms underlying the regulation of metabolic adaptions by hypoxia. Methods RNA sequencing was performed to analyze the gene expression profiles in MDA-MB-231 cell line (20% O2 and 1% O2). Expressions of Slc6a8, which encodes the creatine transporter protein, were detected in breast cancer cells and tissues by quantitative real-time PCR. Immunohistochemistry was performed to detect SLC6A8 protein abundances in tumor tissues. Clinicopathologic correlation and overall survival were evaluated by chi-square test and Kaplan-Meier analysis, respectively. Cell viability assay and flow cytometry analysis with Annexin V/PI double staining were performed to investigate the impact of SLC6A8-mediated uptake of creatine on viability of hypoxic TNBC cells. TNBC orthotopic mouse model was used to evaluate the effects of creatine in vivo. Results SLC6A8 was aberrantly upregulated in TNBC cells in hypoxia. SLC6A8 was drastically overexpressed in TNBC tissues and its level was tightly associated with advanced TNM stage, higher histological grade and worse overall survival of TNBC patients. We found that SLC6A8 was transcriptionally upregulated by p65/NF-κB and mediated accumulation of intracellular creatine in hypoxia. SLC6A8-mediated accumulation of creatine promoted survival and suppressed apoptosis via maintaining redox homeostasis in hypoxic TNBC cells. Furthermore, creatine was required to facilitate tumor growth in xenograft mouse models. Mechanistically, intracellular creatine bolstered cell antioxidant defense by reducing mitochondrial activity and oxygen consumption rates to reduce accumulation of intracellular reactive oxygen species, ultimately activating AKT-ERK signaling, the activation of which protected the viability of hypoxic TNBC cells via mediating the upregulation of Ki-67 and Bcl-2, and the downregulation of Bax and cleaved Caspase-3. Conclusions Our study indicates that SLC6A8-mediated creatine accumulation plays an important role in promoting TNBC progression, and may provide a potential therapeutic strategy option for treatment of SLC6A8 high expressed TNBC.

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Comprehensive transcriptional profiling of aging porcine liver

PeerJ ◽

10.7717/peerj.6949 ◽

2019 ◽

Vol 7 ◽

pp. e6949 ◽

Cited By ~ 1

Author(s):

Jianning Chen ◽

Qin Zou ◽

Daojun Lv ◽

Muhammad Ali Raza ◽

Xue Wang ◽

...

Keyword(s):

Human Liver ◽

Molecular Mechanisms ◽

Expression Profiles ◽

Genomic Structure ◽

Circular Rnas ◽

Transcriptional Level ◽

Porcine Liver ◽

Age Related ◽

Micro Rnas ◽

Model Animal

Background Aging is a major risk factor for the development of many diseases, and the liver, as the most important metabolic organ, is significantly affected by aging. It has been shown that the liver weight tends to increase in rodents and decrease in humans with age. Pigs have a genomic structure, with physiological as well as biochemical features that are similar to those of humans, and have therefore been used as a valuable model for studying human diseases. The molecular mechanisms of the liver aging of large mammals on a comprehensive transcriptional level remain poorly understood. The pig is an ideal model animal to clearly and fully understand the molecular mechanism underlying human liver aging. Methods In this study, four healthy female Yana pigs (an indigenous Chinese breed) were investigated: two young sows (180-days-old) and two old sows (8-years-old). High throughput RNA sequencing was performed to evaluate the expression profiles of messenger RNA, long non-coding RNAs, micro RNAs, and circular RNAs during the porcine liver aging process. Gene Ontology (GO) analysis was performed to investigate the biological functions of age-related genes. Results A number of age-related genes were identified in the porcine liver. GO annotation showed that up-regulated genes were mainly related to immune response, while the down-regulated genes were mainly related to metabolism. Moreover, several lncRNAs and their target genes were also found to be differentially expressed during liver aging. In addition, the multi-group cooperative control relationships and constructed circRNA-miRNA co-expression networks were assessed during liver aging. Conclusions Numerous age-related genes were identified and circRNA-miRNA co-expression networks that are active during porcine liver aging were constructed. These findings contribute to the understanding of the transcriptional foundations of liver aging and also provide further references that clarify human liver aging at the molecular level.

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SMC4, CCNB1 and CKS1B as potential targets and new critical biomarkers for the prognosis of human bladder cancer

10.21203/rs.3.rs-595148/v1 ◽

2021 ◽

Author(s):

Hongpeng Fang ◽

Zhansen Huang ◽

Xianzi Zeng ◽

Jiaming Wan ◽

Jieying Wu ◽

...

Keyword(s):

Gene Expression ◽

Bladder Cancer ◽

Molecular Mechanisms ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Gene Expression Omnibus ◽

Transcriptional Level ◽

Hub Genes ◽

Kaplan Meier ◽

High Form

Abstract Background As a common malignant cancer of the urinary system, the precise molecular mechanisms of bladder cancer remain to be illuminated. The purpose of this study was to identify core genes with prognostic value as potential oncogenes for the diagnosis, prognosis or novel therapeutic targets of bladder cancer. Methods The gene expression profiles GSE3167 and GSE7476 were available from the Gene Expression Omnibus (GEO) database. Next, PPI network was built to filter the hub gene through the STRING database and Cytoscape software and GEPIA and Kaplan-Meier plotter were implemented. Frequency and type of hub genes and sub groups analysis were performed in cBioportal and ULCAN database. Finally,We used RT-qPCR to confirm our results. Results Totally, 251 DEGs were excavated from two datasets in our study. We only founded high expression of SMC4, TYMS, CCNB1, CKS1B, NUSAP1 and KPNA2 was associated with worse outcomes in bladder cancer patients and no matter from the type of mutation or at the transcriptional level of hub genes, the tumor showed a high form of expression. However, only the expression of SMC4,CCNB1and CKS1B remained changed between the cancer and the normal samples in our results of RT-qPCR. Conclusion In conclusion,These findings indicate that the SMC4,CCNB1 and CKS1B may serve as critical biomarkers in the development and poor prognosis.

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Predicting functional circular RNA-based competitive endogenous RNA network in gastric carcinoma using novel bioinformatics analysis

Experimental Biology and Medicine ◽

10.1177/15353702211048757 ◽

2021 ◽

pp. 153537022110487

Author(s):

Zirui Zhu ◽

Rui Huang ◽

Baojun Huang

Keyword(s):

Messenger Rna ◽

Expression Profiles ◽

Clinical Stage ◽

Interaction Network ◽

Enrichment Analysis ◽

Rank Aggregation ◽

Circular Rnas ◽

Pathway Enrichment Analysis ◽

Hub Genes ◽

Competitive Endogenous Rna

Gastric cancer (GC) remains one of the most prevalent types of malignancies worldwide, and also one of the most reported lethal tumor-related diseases. Circular RNAs (circRNAs) have been certified to be trapped in multiple aspects of GC pathogenesis. Yet, the mechanism of this regulation is mostly undefined. This research is designed to discover the vital circRNA-microRNA (miRNA)-messenger RNA (mRNA) regulatory network in GC. Expression profiles with diverse levels including circRNAs, miRNAs, and mRNAs were all determined using microarray public datasets from Gene Expression Ominous (GEO). The differential circRNAs expressions were recognized against the published robust rank aggregation algorithm. Besides, a circRNA-based competitive endogenous RNA (ceRNA) interaction network was visualized via Cytoscape software (version 3.8.0). Functional and pathway enrichment analysis associated with differentially expressed targeted mRNAs were conducted using Cytoscape and an online bioinformatics database. Furthermore, an interconnected protein–protein interaction association network which consisted of 51 mRNAs was predicted, and hub genes were screened using STRING and CytoHubba. Then, several hub genes were chosen to explore their expression associated with survival rate and clinical stage in GEPIA and Kaplan-Meier Plotter databases. Finally, a carefully designed circRNA-related ceRNA regulatory subnetwork including four circRNAs, six miRNAs, and eight key hub genes was structured using the online bioinformatics tool.

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