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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–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'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.