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 | 84555 |
| عنوان فارسی مقاله | بیومارکرهای تشخیص زودهنگام سرطان پستان نوع Ductal carcinoma in-situ: یک رویکرد بیوانفورماتیک |
| عنوان لاتین مقاله | Breast cancer early detection biomarkers identified from ductal carcinoma in-situ patients: a bioinformatics approach |
| نوع ارائه | پوستر |
| 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 | 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 | Research Center for Pharmaceutical Nanotechnology, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran |
| نویسنده | نفر چندم مقاله |
|---|---|
| مجید فتحی | اول |
| بهزاد جعفری | دوم |
| کریم حسن پور | سوم |
| یوسف مسعودی سبحان زاده | چهارم |
| محمد مصطفی پورسیف | پنجم |
| عنوان | متن |
|---|---|
| خلاصه مقاله | The Breast Cancer is the most prevalent cancer in the world [1]. According to WHO (World Health Organization), there were more than 2 million women diagnosed with breast cancer and more than 600,000 recorded deaths all around the world in 2020. Common diagnosis approaches for breast cancer like mammography have some limitations such as low sensitivity and specificity, high cost and time-consuming procedures so new and better diagnostic methods are presented [2, 3]. The Events Responsible for Transmission of normal breast tissue into cancer phase are poorly known. In this study, we aim to discover the pathways initiating breast cancer that can modify diagnosis and treatment methods. Four datasets (PRJNA484546, PRJNA602512, PRJNA855324 and PRJNA950392) were selected from the NCBI SRA database. These datasets included ductal carcinoma in-situ and normal breast samples. In order to ensure of the quality of these samples, a test was performed using FastQC. Using Trimmomatic software, appropriate changes were made on the samples to increase quality. After performing Various analysis, we used UMAP Plot (Uniform manifold approximation and projection) to classify the genes with different alterations of gene expression in order to identify the pathways related to breast cancer. Bioinformatic analysis on 34 samples selected from 4 datasets, showed that the presence of conserved mutations in genes including PIK3CA, TP53 and CDH1 in matched samples of both DCIS and normal tissue suggest a fitness benefit of these mutations. Studies of matched synchronous cases have also shown DCIS-specific mutations in selected cases. Discovering the pathways initiating breast cancer is a key goal that can modify diagnosis and treatment methods. |
| کلمات کلیدی | breast cancer; diagnosis; RNA-sequencing |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| BookletFinalFileFinalFileFinal.pdf | 1403/03/07 | 12122026 | دانلود |
| Certificate15042 (2).pdf | 1403/02/06 | 412133 | دانلود |
| Certificate15042.pdf | 1403/02/06 | 307792 | دانلود |
