التفاصيل البيبلوغرافية
| العنوان: |
Transcriptomics Signature from Next-Generation Sequencing Data Reveals New Transcriptomic Biomarkers Related to Prostate Cancer |
| المؤلفون: |
Alkhateeb, Abedalrhman, Rezaeian, Iman, Singireddy, Siva, Cavallo-Medved, Dora, Porter, Lisa A, Rueda, Luis |
| المساهمون: |
natural sciences and engineering research council of canada, Windsor-Essex County Cancer Centre Foundation, university of windsor |
| المصدر: |
Cancer Informatics ; volume 18, page 117693511983552 ; ISSN 1176-9351 1176-9351 |
| بيانات النشر: |
SAGE Publications |
| سنة النشر: |
2019 |
| مصطلحات موضوعية: |
Cancer Research, Oncology |
| الوصف: |
Prostate cancer is one of the most common types of cancer among Canadian men. Next-generation sequencing using RNA-Seq provides large amounts of data that may reveal novel and informative biomarkers. We introduce a method that uses machine learning techniques to identify transcripts that correlate with prostate cancer development and progression. We have isolated transcripts that have the potential to serve as prognostic indicators and may have tremendous value in guiding treatment decisions. Analysis of normal versus malignant prostate cancer data sets indicates differential expression of the genes HEATR5B, DDC, and GABPB1-AS1 as potential prostate cancer biomarkers. Our study also supports PTGFR, NREP, SCARNA22, DOCK9, FLVCR2, IK2F3, USP13, and CLASP1 as potential biomarkers to predict prostate cancer progression, especially between stage II and subsequent stages of the disease. |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
English |
| DOI: |
10.1177/1176935119835522 |
| الإتاحة: |
https://doi.org/10.1177/1176935119835522Test |
| حقوق: |
http://journals.sagepub.com/page/policies/text-and-data-mining-licenseTest |
| رقم الانضمام: |
edsbas.F4DEB026 |
| قاعدة البيانات: |
BASE |
