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Sindhoo A, Sipy S, Khan A, Selvaraj G, Alshammari A, Casida ME, Wei DQ. ESOMIR: a curated database of biomarker genes and miRNAs associated with esophageal cancer. Database (Oxford) 2023; 2023:baad063. [PMID: 37815872 PMCID: PMC10563827 DOI: 10.1093/database/baad063] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 07/10/2023] [Accepted: 09/16/2023] [Indexed: 10/12/2023]
Abstract
'Esophageal cancer' (EC) is a highly aggressive and deadly complex disease. It comprises two types, esophageal adenocarcinoma (EAC) and esophageal squamous cell carcinoma (ESCC), with Barrett's esophagus (BE) being the only known precursor. Recent research has revealed that microRNAs (miRNAs) play a crucial role in the development, prognosis and treatment of EC and are involved in various human diseases. Biological databases have become essential for cancer research as they provide information on genes, proteins, pathways and their interactions. These databases collect, store and manage large amounts of molecular data, which can be used to identify patterns, predict outcomes and generate hypotheses. However, no comprehensive database exists for EC and miRNA relationships. To address this gap, we developed a dynamic database named 'ESOMIR (miRNA in esophageal cancer) (https://esomir.dqweilab-sjtu.com)', which includes information about targeted genes and miRNAs associated with EC. The database uses analysis and prediction methods, including experimentally endorsed miRNA(s) information. ESOMIR is a user-friendly interface that allows easy access to EC-associated data by searching for miRNAs, target genes, sequences, chromosomal positions and associated signaling pathways. The search modules are designed to provide specific data access to users based on their requirements. Additionally, the database provides information about network interactions, signaling pathways and region information of chromosomes associated with the 3'untranslated region (3'UTR) or 5'UTR and exon sites. Users can also access energy levels of specific miRNAs with targeted genes. A fuzzy term search is included in each module to enhance the ease of use for researchers. ESOMIR can be a valuable tool for researchers and clinicians to gain insight into EC, including identifying biomarkers and treatments for this aggressive tumor. Database URL https://esomir.dqweilab-sjtu.com.
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Affiliation(s)
- Asma Sindhoo
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Dongchuan Road Minhang District, Shanghai 200240, PR China
| | - Saima Sipy
- Sindh Madressatul Islam University, Karachi, Sindh 74600, Pakistan
| | - Abbas Khan
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Dongchuan Road Minhang District, Shanghai 200240, PR China
- State Key Laboratory of Microbial Metabolism, Shanghai–Islamabad–Belgrade Joint Innovation Center on Antibacterial Resistances, Joint Laboratory of International Cooperation in Metabolic and Developmental Sciences, Ministry of Education and School of Life Sciences and Biotechnology, Shanghai, Minhang 200030, PR China
| | - Gurudeeban Selvaraj
- Centre for Research in Molecular Modelling (CERMM), Department of Chemistry and Biochemistry, Concordia University, Montreal, Quebec H4B 1R6, Canada
| | - Abdulrahman Alshammari
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia
| | - Mark Earl Casida
- Laboratoire de Spectrom´etrie, Interactions et Chimie th´eorique (SITh), D´epartement de Chimie Mol´eculaire (DCM, UMR CNRS/UGA 5250), Institut de Chimie Mol´eculaire de Grenoble (ICMG, FR2607), Universit´e Grenoble Alpes (UGA), 301 rue de la Chimie BP 53, Grenoble Cedex F-38041, France
| | - Dong-Qing Wei
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Dongchuan Road Minhang District, Shanghai 200240, PR China
- State Key Laboratory of Microbial Metabolism, Shanghai–Islamabad–Belgrade Joint Innovation Center on Antibacterial Resistances, Joint Laboratory of International Cooperation in Metabolic and Developmental Sciences, Ministry of Education and School of Life Sciences and Biotechnology, Shanghai, Minhang 200030, PR China
- Peng Cheng Laboratory, Phase I Building 8, Xili Street, Montreal, Vanke Cloud City, Nashan District, Shenzhen, Guangdong 518055, PR China
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Wang XB, Luo T, Lu SL, Lu HZ, Zhao TY, Jiang ZJ, Liu XY, Zhao C, Li LQ, Chen J. Circular RNA hsa_circ_0005218 promotes the early recurrence of hepatocellular carcinoma by targeting the miR-31-5p/CDK1 pathway. Heliyon 2023; 9:e14816. [PMID: 37035389 PMCID: PMC10073894 DOI: 10.1016/j.heliyon.2023.e14816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 03/15/2023] [Accepted: 03/17/2023] [Indexed: 03/28/2023] Open
Abstract
Increasing evidence has manifested that circular RNAs (circRNAs) exhibited critical function in regulating various signaling pathways related to hepatocellular carcinoma (HCC) recurrence. However, the role and mechanism of the circRNAs in the HCC early recurrence remain elusive. In this study, high-throughput RNA-sequencing (RNA-seq) analysis was conducted to identify the expression profile of circRNAs in HCC tissues and circ_0005218 was identified as one circRNA that significantly up-regulated in early recurrent HCC tissues. And patients with high expression of circ_0005218 showed worsen overall survival (OS) and disease-free survival (DFS). Moreover, the promotion effects of circ_0005218 on HCC cells in term of proliferation, invasion and metastasis were confirmed both in vitro and vivo by gain- and loss-of function assays. In addition, dual-luciferase reporter assays showed that circ_0005218 could competitively bind to micro-RNA (miR)-31-5p. Furthermore, we showed that suppression of CDK1 by miR-31-5p could be partially rescued by up-regulating circ_0005218. Taken together, the present study indicates that circ_0005218 absorbed miR-31-5p as a sponge to weaken its suppression on CDK1 expression, and thus boost HCC cell invasion and migration, which would act as a potential biomarker to predict the HCC early recurrence and as a new therapeutic target for treatment of HCC.
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Affiliation(s)
- Xiao-bo Wang
- Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Tao Luo
- Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Shao-long Lu
- Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Hua-ze Lu
- Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Tai-yun Zhao
- Guangxi Key Laboratory of Bioactive Molecules Research and Evaluation, Nanning, China
| | - Zhi-jun Jiang
- Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Xin-yu Liu
- Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Chang Zhao
- Department of Interventional Therapy, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Le-qun Li
- Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China
- Corresponding author. Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, 530021 China.
| | - Jie Chen
- Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China
- Corresponding author. Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, 530021 China.
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CmirC: an integrated database of clustered miRNAs co-localized with copy number variations in cancer. Funct Integr Genomics 2022; 22:1229-1241. [DOI: 10.1007/s10142-022-00909-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 10/08/2022] [Accepted: 10/14/2022] [Indexed: 11/25/2022]
Abstract
AbstractGenomic rearrangements and copy number variations (CNVs) are the major regulators of clustered microRNAs (miRNAs) expression. Several clustered miRNAs are harbored in and around chromosome fragile sites (CFSs) and cancer-associated genomic hotspots. Aberrant expression of such clusters can lead to oncogenic or tumor suppressor activities. Here, we developed CmirC (Clustered miRNAs co-localized with CNVs), a comprehensive database of clustered miRNAs co-localized with CNV regions. The database consists of 481 clustered miRNAs co-localized with CNVs and their expression patterns in 35 cancer types of the TCGA. The portal also provides information on CFSs, miRNA cluster candidates, genomic coordinates, target gene networks, and gene functionality. The web portal is integrated with advanced tools such as JBrowse, NCBI-BLAST, GeneSCF, visNetwork, and NetworkD3 to help the researchers in data analysis, visualization, and browsing. This portal provides a promising avenue for integrated data analytics and offers additional evidence for the complex regulation of clustered miRNAs in cancer. The web portal is freely accessible at http://slsdb.manipal.edu/cmirclust to explore clinically significant miRNAs.
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Wang J, Jin J, Liang Y, Zhang Y, Wu N, Fan M, Zeng F, Deng F. miR-21-5p/PRKCE axis implicated in immune infiltration and poor prognosis of kidney renal clear cell carcinoma. Front Genet 2022; 13:978840. [PMID: 36186442 PMCID: PMC9516396 DOI: 10.3389/fgene.2022.978840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 08/09/2022] [Indexed: 11/25/2022] Open
Abstract
Kidney renal clear cell carcinoma (KIRC or ccRCC) is the most notorious subtype of renal cell carcinoma for its poor prognosis. Mounting evidence has highlighted the key role of PRKCE in the initiation and development of several types of human cancer, including kidney renal clear cell carcinoma (KIRC). However, the mechanism of PRKCE aberrant expression and the specific clinical correlation of PRKCE expression with immune cell infiltration in KIRC remains elusive. Therefore, we analyzed the relationship between PRKCE and KIRC using many databases, including Oncomine, TCGA, GTEx, TIMER, and GEO. We found that PRKCE decreased in KIRC tumor tissue compared to normal tissue. The Kaplan-Meier Plotter analysis and Univariate and Multivariate Cox analyses were used to evaluate the association between PRKCE and clinicopathological variables and prognosis. Low PRKCE expression was associated with poor survival and histologic grade, T stage, pathologic stage, and M stage. Besides, the C-indexes and calibration plots of the nomogram based on multivariate analysis showed an effective predictive performance for KIRC patients. In addition, PRKCE may be positively correlated with inflammation and negatively correlated with proliferation, metastasis, and invasion as identified by CancerSEA. Moreover, overexpression of PRKCE suppressed ACHN and Caki-1 cell proliferation, migration, and invasion in vitro. Additionally, methylation level data acquired from UALCAN, DiseaseMeth, CCLE, LinkedOmics, and MEXPRESS was used to investigate the relationship between PRKCE expression and PRKCE methylation level. Furthermore, upstream potential miRNA predictions were further performed to explore the mechanism of PRKCE decreased expression in KIRC using multiple online databases available on publicly assessable bioinformatics platforms. High PRKCE methylation levels and hsa-miR-21-5p may contribute to PRKCE low expression in KIRC. Finally, an analysis of immune infiltration indicated that PRKCE was associated with immune cell infiltration. Importantly, PRKCE may affect prognosis partially by regulating immune infiltration in KIRC. In summary, PRKCE may serve as a novel prognostic biomarker reflecting immune infiltration level and a novel therapeutic target in KIRC.
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Affiliation(s)
- Jinxiang Wang
- Department of Cell Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Jie Jin
- Department of Clinical Laboratory, the Fifth Affiliated Hospital, Southern Medical University, Guangzhou, China
| | - Yanling Liang
- Department of Clinical Laboratory, the Fifth Affiliated Hospital, Southern Medical University, Guangzhou, China
- Department of Clinical Laboratory, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yihe Zhang
- Department of Cell Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Nisha Wu
- Department of Clinical Laboratory, the Fifth Affiliated Hospital, Southern Medical University, Guangzhou, China
| | - Mingming Fan
- Department of Cell Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Fangyin Zeng
- Department of Clinical Laboratory, the Fifth Affiliated Hospital, Southern Medical University, Guangzhou, China
- *Correspondence: Fangyin Zeng, ; Fan Deng,
| | - Fan Deng
- Department of Cell Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
- *Correspondence: Fangyin Zeng, ; Fan Deng,
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Deng ZM, Chen GH, Dai FF, Liu SY, Yang DY, Bao AY, Cheng YX. The clinical value of miRNA-21 in cervical cancer: A comprehensive investigation based on microarray datasets. PLoS One 2022; 17:e0267108. [PMID: 35486636 PMCID: PMC9053781 DOI: 10.1371/journal.pone.0267108] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 04/03/2022] [Indexed: 11/19/2022] Open
Abstract
Previous work has demonstrated that the expression of microRNA-21 (miR-21) is implicated in cervical cancer (CC). However, little is known regarding its associations with clinical parameters. We first conducted a meta-analysis using data from Gene Expression Omnibus (GEO) microarrays and The Cancer Genome Atlas (TCGA). Then, enrichment analysis and hub gene screening were performed by bioinformatic methods. Finally, the role of the screened target genes in CC was explored. According to the meta-analysis, the expression of miR-21 in cancer tissues was higher than in adjacent nontumor tissues (P < 0.05). In addition, 46 genes were predicted as potential targets of miR-21. After enrichment analyses, it was detected that these genes were enriched in various cancer pathways, including the phosphatidylinositol signaling system and mammalian target of rapamycin (mTOR) signaling pathway. In this study, bioinformatic tools and meta-analysis validated that miR-21 may function as a highly sensitive and specific marker for the diagnosis of CC, which may provide a novel approach to the diagnosis and treatment of CC.
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Affiliation(s)
- Zhi-Min Deng
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Gan-Hong Chen
- Department of Pathology, The People’s Hospital of Honghu, Honghu, Hubei, China
| | - Fang-Fang Dai
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Shi-Yi Liu
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Dong-Yong Yang
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - An-Yu Bao
- Department of Clinical laboratory, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
- * E-mail: (AYB); (YXC)
| | - Yan-Xiang Cheng
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
- * E-mail: (AYB); (YXC)
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Down-Regulation of miR-194-5p for Predicting Metastasis in Breast Cancer Cells. Int J Mol Sci 2021; 23:ijms23010325. [PMID: 35008751 PMCID: PMC8745262 DOI: 10.3390/ijms23010325] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 12/21/2021] [Accepted: 12/27/2021] [Indexed: 12/12/2022] Open
Abstract
MicroRNAs (miRNAs), as key negative regulators of gene expression, are closely related to tumor occurrence and progression. miR-194-5p (miR-194-1) has been shown to play a regulatory role in various cancers however, its biological function and mechanism of action in breast cancer have not yet been well explored. In this study, we use the UALCAN and LinkedOmics databases to analyze transcription expression in The Cancer Genome Atlas Breast Invasive Carcinoma (TCGA-BRCA). The epithelial-mesenchymal transition status of breast cancer cells was evaluated by wound-healing assay, trans-well assays, and gelatin zymography, while protein expression was assessed by Western blotting. miR-194-5p expression was found to be up-regulated in breast cancer clinical specimens but down-regulated in the triple-negative breast cancer (TNBC) cell line MDA-MB-231 and breast cancer clinical specimens in The Cancer Genome Atlas (TCGA). miR-194-5p significantly inhibited the expression of the epithelial marker ZO-1 and increased the expression of mesenchymal markers, including ZEB-1 and vimentin, in MDA-MB-231 cells. miR-194-5p significantly reduced the gelatin-degrading activity of matrix metalloproteinase-2 (MMP-2) and MMP-9 in zymography assays. In MDA-MB-231 cells and TCGA patient samples, ZEB-1 expression was significantly inversely correlated with miR-194-5p expression. High levels of miR-194-5p were associated with good overall survival. miR-194-5p regulates epithelial–mesenchymal transition (EMT) in TNBC. Our findings suggest that miR-194-5p functions as a tumor biomarker in breast cancer, providing new insights for the study of breast cancer development and metastasis.
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Dragomir MP, Knutsen E, Calin GA. Classical and noncanonical functions of miRNAs in cancers. Trends Genet 2021; 38:379-394. [PMID: 34728089 DOI: 10.1016/j.tig.2021.10.002] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 10/01/2021] [Accepted: 10/05/2021] [Indexed: 12/11/2022]
Abstract
Alterations in microRNAs (miRNAs) expression are causative in the initiation and progression of human cancers. The molecular events responsible for the widespread differential expression of miRNAs in malignancy are exemplified by their location in cancer-associated genomic regions, epigenetic mechanisms, transcriptional dysregulation, chemical modifications and editing, and alterations in miRNA biogenesis proteins. The classical miRNA function is synonymous with post-transcriptional repression of target protein genes. However, several studies have reported miRNAs functioning outside this paradigm and some of these novel modes of regulation of gene expression have been implicated in cancers. Here, we summarize key aspects of miRNA involvement in cancer, with a special focus on these lesser-studied mechanisms of action.
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Affiliation(s)
- Mihnea P Dragomir
- Institute of Pathology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.
| | - Erik Knutsen
- Department of Medical Biology, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway.
| | - George A Calin
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Center for RNA Interference and Non-Coding RNAs, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Tan H. Somatic mutation in noncoding regions: The sound of silence. EBioMedicine 2020; 61:103084. [PMID: 33096481 PMCID: PMC7581888 DOI: 10.1016/j.ebiom.2020.103084] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 10/06/2020] [Indexed: 12/18/2022] Open
Affiliation(s)
- Hua Tan
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
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