دورية أكاديمية

Genome‐wide identification of a novel miRNA‐based signature to predict recurrence in patients with gastric cancer

التفاصيل البيبلوغرافية
العنوان: Genome‐wide identification of a novel miRNA‐based signature to predict recurrence in patients with gastric cancer
المؤلفون: Yongmei Yang, Ailin Qu, Rui Zhao, Mengmeng Hua, Xin Zhang, Zhaogang Dong, Guixi Zheng, Hongwei Pan, Hongchun Wang, Xiaoyun Yang, Yi Zhang
المصدر: Molecular Oncology, Vol 12, Iss 12, Pp 2072-2084 (2018)
بيانات النشر: Wiley, 2018.
سنة النشر: 2018
المجموعة: LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
مصطلحات موضوعية: gastric cancer, miRNA signature, prediction, prognosis, recurrence‐free survival, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
الوصف: The current tumor node metastasis (TNM) staging system is inadequate for identifying high‐risk gastric cancer (GC) patients. Using a systematic and comprehensive‐biomarker discovery and validation approach, we attempted to build a microRNA (miRNA)‐recurrence classifier (MRC) to improve the prognostic prediction of GC. We identified 312 differentially expressed miRNAs in 446 GC tissues compared to 45 normal controls by analyzing high‐throughput data from The Cancer Genome Atlas (TCGA). Using a Cox regression model, we developed an 11‐miRNA signature that could successfully discriminate high‐risk patients in the training set (n = 372; P
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1878-0261
1574-7891
Relation: https://doaj.org/toc/1574-7891; https://doaj.org/toc/1878-0261
DOI: 10.1002/1878-0261.12385
URL الوصول: https://doaj.org/article/e5a33214780c4f96b8b9eee7a3668dd6
رقم الأكسشن: edsdoj.5a33214780c4f96b8b9eee7a3668dd6
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:18780261
15747891
DOI:10.1002/1878-0261.12385