چاپ صفحه |  صفحه نخست سامانه |  نویسندگان |  اطلاعات تفضیلی |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| نویسنده ثبت کننده مقاله | محمد مصطفی پورسیف |
| مرحله جاری مقاله | تایید نهایی |
| دانشکده/مرکز مربوطه | مرکز تحقیقات ریز فناوری دارویی |
| کد مقاله | 84492 |
| عنوان فارسی مقاله | شناسایی و تجزیه و تحلیل ژن های اساسی زمینه ساز سرطان معده از طریق تکنیک های بیوانفورماتیک |
| عنوان لاتین مقاله | Identification and Analysis of Crucial Genes Underlying Gastric Cancer via Bioinformatics Techniques |
| نوع ارائه | سخنرانی |
| عنوان کنگره / همایش | 3rd International & 12th Iranian Conference on Bioinformatics |
| نوع کنگره / همایش | بین المللی |
| کشور محل برگزاری کنگره/ همایش | Iran (Islamic Republic) |
| شهر محل برگزاری کنگره/ همایش | مازندران، بهشهر |
| سال انتشار/ ارائه شمسی | 1402 |
| سال انتشار/ارائه میلادی | 2024 |
| تاریخ شمسی شروع و خاتمه کنگره/همایش | 1402/12/09 الی 1402/12/10 |
| آدرس لینک مقاله/ همایش در شبکه اینترنت | https://icb12.ibis.org.ir/ |
| آدرس علمی (Affiliation) نویسنده متقاضی | Department of Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran |
| نویسنده | نفر چندم مقاله |
|---|---|
| سید حسین خوش رفتار | اول |
| صبا هادی | سوم |
| پریسا علیرضایی نجف آبادی | دوم |
| آناهیتا سلیمانی | چهارم |
| اکبر امیرفیروزی | ششم |
| محمد مصطفی پورسیف | هفتم |
| عنوان | متن |
|---|---|
| کلمات کلیدی | Gastric Cancer; Biomarker; Microarray; Bioinformatics Analysis |
| خلاصه مقاله | Introduction: Gastric cancer (GC) has become a significant concern globally, particularly in East Asian nations, in recent times. According to the GLOBOCAN database, GC is the fourth most common cancer and the third leading cause of cancer-related deaths worldwide. This study aimed to explore biomarkers based on differentially expressed genes (DEGs) that may act as a driver factor in tumorigenesis. Two sets (400 samples) of data were obtained from the GEO database, and each of these sets underwent quality analysis through the application of PCA. Subsequently, the LIMMA package was utilized to identify genes that exhibited differential expression. To determine the common DEGs between them, a Venn diagram was employed. Furthermore, the TCGA RNA-seq results were employed to validate our findings. Lastly, the relationship between the DEGs and the survival time of the disease was assessed using the Kaplan-Meier plotter. In two datasets, 14 genes were found to be significantly dysregulated (adj.P.val < 0.05). Among them, three genes ATP4A, ESRRG, and ADIPOQ show a significant decrease in expression in both datasets. Based on the information provided by the GeneCards and Reactome pathway databases, these genes exert regulatory control over various crucial pathways, including Ion channel transport, Nuclear Receptor transcription pathway, and AMPK Signaling Pathway. According to Kaplan-Meier plots DEGs are correlated with poor prognosis in GC. Our investigation revealed that the three genes ATP4A, ESRRG, and ADIPOQ play significant roles in GC and they are correlated with poor prognosis in GC. |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| template-word-1.docx | 1403/02/03 | 301034 | دانلود |
| Certificate1151(1).pdf | 1403/02/03 | 407680 | دانلود |
| BookletFinalFileFinalFileFinal.pdf | 1403/03/05 | 13672261 | دانلود |
