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'); Reports of Biochemistry and Molecular Biology rbmb.net Basic Sciences http://rbmb.net 1 admin 2322-3480 2322-3480 10.61882/rbmb en jalali 1403 5 1 gregorian 2024 8 1 13 2 online 1 fulltext
en Modelling of miRNA-mRNA Network to Identify Gene Signatures with Diagnostic and Prognostic Value in Gastric Cancer: Evidence from In-Silico and In-Vitro Studies زیست شناسی ملکولی Molecular Biology مقالات اصلی Original Article <div style="text-align: justify;"><span style="font-size:10pt"><span style="text-justify:inter-ideograph"><span style="line-height:normal"><span style="tab-stops:396.55pt"><span style="font-family:Calibri,sans-serif"><b><i><span style="font-size:12.0pt"><span new="" roman="" style="font-family:" times=""><span style="color:black"><span style="letter-spacing:-.1pt">Background:</span></span></span></span></i></b><b><i> </i></b><span style="font-size:12.0pt"><span new="" roman="" style="font-family:" times=""><span style="color:black"><span style="letter-spacing:-.1pt">Gastric cancer (GC) is a prevalent malignancy with high recurrence. Advances in systems biology have identified molecular pathways and biomarkers. This study focuses on discovering gene and miRNA biomarkers for diagnosing and predicting survival in GC patients.</span></span></span></span></span></span></span></span></span><br> <br> <span style="font-size:10pt"><span style="text-justify:inter-ideograph"><span style="line-height:normal"><span style="tab-stops:396.55pt"><span style="font-family:Calibri,sans-serif"><b><i><span style="font-size:12.0pt"><span new="" roman="" style="font-family:" times=""><span style="color:black"><span style="letter-spacing:-.1pt">Methods:</span></span></span></span></i></b><span style="font-size:12.0pt"><span new="" roman="" style="font-family:" times=""><span style="color:black"><span style="letter-spacing:-.1pt"> Three sets of genes (GSE19826, GSE81948, and GSE112369) and two sets of miRNA expression (GSE26595, GSE78775) were obtained from the Gene Expression Omnibus (GEO), and subsequently, differentially expressed genes (DEGs) and miRNAs (DEMs) were identified. Functional pathway enrichment, DEG-miR-TF-protein&ndash;protein interaction network, DEM-mRNA network, ROC curve, and survival analyses were performed. Finally, qRT-PCR was applied to validate our results.</span></span></span></span></span></span></span></span></span><br> <br> <span style="font-size:10pt"><span style="text-justify:inter-ideograph"><span style="line-height:normal"><span style="tab-stops:396.55pt"><span style="font-family:Calibri,sans-serif"><b><i><span style="font-size:12.0pt"><span new="" roman="" style="font-family:" times=""><span style="color:black"><span style="letter-spacing:-.1pt">Results:</span></span></span></span></i></b><span style="font-size:12.0pt"><span new="" roman="" style="font-family:" times=""><span style="color:black"><span style="letter-spacing:-.1pt"> From the high-throughput profiling studies of GC, we investigated 10 candidate mRNA and 7 candidate miRNAs as potential biomarkers. Expression analysis of these hubs revealed that 5 miRNAs (including miR-141-3p, miR-204-5p, miR-338-3p, miR-609, and miR-369-5p) were significantly upregulated compared to the controls. The genes with the highest degree included 6 upregulated and 4 downregulated genes in tumor samples compared to controls. The expression of miR-141-3p, miR-204-5p, SESTD1, and ANTXR1 were verified in vitro from these hub DEMs and DEGs. The findings indicated a decrease in the expression of miR-141-3p and miR-204-5p and increased expression of SESTD1 and ANTXR1 in GC cell lines compared to the GES-1 cell line.</span></span></span></span></span></span></span></span></span><br> <br> <span style="font-size:10pt"><span style="text-justify:inter-ideograph"><span style="line-height:normal"><span style="tab-stops:396.55pt"><span style="font-family:Calibri,sans-serif"><b><i><span style="font-size:12.0pt"><span new="" roman="" style="font-family:" times=""><span style="color:black"><span style="letter-spacing:-.1pt">Conclusions:</span></span></span></span></i></b><span style="font-size:12.0pt"><span new="" roman="" style="font-family:" times=""><span style="color:black"><span style="letter-spacing:-.1pt"> The current investigation successfully recognized a set of prospective miRNAs and genes that may serve as potential biomarkers for GC&#39;s early diagnosis and prognosis. </span></span></span></span></span></span></span></span></span></div> Biomarker, Gastric cancer, GEO, MicroRNA, PPI-network, Stomach neoplasms. 281 300 http://rbmb.net/browse.php?a_code=A-10-296-3&slc_lang=en&sid=1 Mohammad Bagher Jahantab 100319475328460020442 100319475328460020442 No Clinical Research Development Unit, Shahid Jalil Hospital, Yasuj University of Medical Sciences, Yasuj, Iran. Mohammad Salehi 100319475328460020443 100319475328460020443 No Department of Clinical Biochemistry, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran. Mehdi Koushki 100319475328460020444 100319475328460020444 No Cancer Gene Therapy Research Center, Zanjan University of Medical Sciences, Zanjan, Iran & Department of Clinical Biochemistry, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran. Reyhaneh Farrokhi Yekta 100319475328460020445 100319475328460020445 No Proteomics Research Center, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Nasrin Amiri-Dashatan nasrinamiri91@gmail.com 100319475328460020446 100319475328460020446 Yes Proteomics Research Center, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran & Zanjan Metabolic Diseases Research Center, Health and Metabolic Diseases Research Institute, Zanjan University of Medical Sciences, Zanjan, Iran. Mostafa Rezaei-Tavirani* tavirany@yahoo.com 100319475328460020447 100319475328460020447 No Proteomics Research Center, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.