دورية أكاديمية
Genome‐wide identification of a novel miRNA‐based signature to predict recurrence in patients with gastric cancer
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 |
تدمد: | 18780261 15747891 |
---|---|
DOI: | 10.1002/1878-0261.12385 |