چاپ صفحه |  صفحه نخست سامانه |  نویسندگان |  اطلاعات تفضیلی |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| نویسنده ثبت کننده مقاله | نرجس صدیقی |
| مرحله جاری مقاله | تایید نهایی |
| دانشکده/مرکز مربوطه | کمیته تحقیقات دانشجویی |
| کد مقاله | 86023 |
| عنوان فارسی مقاله | شناسایی بیومارکرهای بالقوه سرطان سینه بر اساس آنالیز بیوانفورماتیک |
| عنوان لاتین مقاله | Identification of Potential Biomarkers with Breast Cancer Based on Bioinformatics Analysis |
| نوع ارائه | پوستر |
| عنوان کنگره / همایش | the 20th International Congress of Stem Cell Biology & Technology and the 25th International Congress of Reproductive Biomedicine |
| نوع کنگره / همایش | بین المللی |
| کشور محل برگزاری کنگره/ همایش | Iran (Islamic Republic) |
| شهر محل برگزاری کنگره/ همایش | تهران |
| سال انتشار/ ارائه شمسی | 1403 |
| سال انتشار/ارائه میلادی | |
| تاریخ شمسی شروع و خاتمه کنگره/همایش | 1403/06/07 الی 1403/06/09 |
| آدرس لینک مقاله/ همایش در شبکه اینترنت | https://royancongress.com/preCongress |
| آدرس علمی (Affiliation) نویسنده متقاضی | Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran |
| نویسنده | نفر چندم مقاله |
|---|---|
| نرجس صدیقی | اول |
| عنوان | متن |
|---|---|
| خلاصه مقاله | Background Breast cancer is the most common malignancy in women worldwide, despite great advances in the diagnosis and treatment of cancer. Nowadays, with the advances in the bioinformatics analysis of RNAseq, it can identify potential biomarkers for diagnosis, treatment, and evaluation of metastasis and relapse. In this study, we are going to evaluate RNAseq data obtained from TCGA in breast cancer (BRCA) and investigate prognostic and protective genes in survival. Method GEPIA2 (http://gepia2.cancer-pku.cn/) was used to examine the TCGA BRCA dataset in order to identify all DEGs linked with BRCA among high throughput RNA-Seq data. GEPIA2 is an online program that uses the Genotype-Tissue Expression projects and the TCGA database to evaluate the transcriptional patterns of human malignancies and normal tissues. Genes with adj-P-value < 0.05 were considered significant; after that, significant genes were divided into 4 groups including up/down prognostic or protective genes according to the logFC and HR. After that, a Protein-protein interaction (PPI) network of significant genes associated with BRCA was constructed with STRING at the Cytoscape software. Result of 3556 genes acquired from TCGA-RNAseq for AML, 334 genes are considered significant; of which 127 genes are prognostic and 207 genes are protective. PPI networks were drawn for significant and also hub genes; according to the result, 7 genes are considered as hub genes based on their interaction and degree including CXCL1, SELL, CXCL9, CD3E, CCL5, CXCR3, and CCR5 (degree more than 20). All genes were protective (adj p-value < 0.05, HR <1). Conclusion This study identifies hub genes as a promising prognostic, protective, and diagnostic biomarker for breast cancer. Further investigations are warranted to identify the diagnostic potential of these genes. |
| کلمات کلیدی | Breast cancer, TCGA, RNAseq, bioinformatics, significant genes |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| BRCA.pdf | 1403/09/03 | 255539 | دانلود |
| 1732377052480.jpg | 1403/09/03 | 18604376 | دانلود |
