A Potential Prognostic Gene Signature for Predicting Survival for Glioblastoma Patients
المؤلفون المشاركون
Hou, Ziming
Yang, Jun
Wang, Hao
Liu, Dongyuan
Zhang, Hongbing
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-03-26
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Objective.
This study aimed to screen prognostic gene signature of glioblastoma (GBM) to construct prognostic model.
Methods.
Based on the GBM information in the Cancer Genome Atlas (TCGA, training set), prognostic genes (Set X) were screened by Cox regression.
Then, the optimized prognostic gene signature (Set Y) was further screened by the Cox-Proportional Hazards (Cox-PH).
Next, two prognostic models were constructed: model A was based on the Set Y; model B was based on part of the Set X.
The samples were divided into low- and high-risk groups according to the median prognosis index (PI).
GBM datasets in Gene Expression Ominous (GEO, GSE13041) and Chinese Glioma Genome Atlas (CGGA) were used as the testing datasets to confirm the prognostic models constructed based on TCGA.
Results.
We identified that the prognostic 14-gene signature was significantly associated with the overall survival (OS) in the TCGA.
In model A, patients in high- and low-risk groups showed the significantly different OS (P = 7.47 × 10−9, area under curve (AUC) 0.995) and the prognostic ability were also confirmed in testing sets (P=0.0098 and 0.037).
The model B in training set was significant but failed in testing sets.
Conclusion.
The prognostic model which was constructed based on the prognostic 14-gene signature presented a high predictive ability for GBM.
The 14-gene signature may have clinical implications in the subclassification of GBM.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hou, Ziming& Yang, Jun& Wang, Hao& Liu, Dongyuan& Zhang, Hongbing. 2019. A Potential Prognostic Gene Signature for Predicting Survival for Glioblastoma Patients. BioMed Research International،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1128587
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hou, Ziming…[et al.]. A Potential Prognostic Gene Signature for Predicting Survival for Glioblastoma Patients. BioMed Research International No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1128587
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hou, Ziming& Yang, Jun& Wang, Hao& Liu, Dongyuan& Zhang, Hongbing. A Potential Prognostic Gene Signature for Predicting Survival for Glioblastoma Patients. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1128587
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1128587
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر