A Robust Gene Expression Prognostic Signature for Overall Survival in High-Grade Serous Ovarian Cancer
المؤلفون المشاركون
Hang, Bo
Snijders, Antoine M.
Mao, Jian-Hua
Zhao, Yue
Yang, Shao-Min
Jin, Yu-Lan
Xiong, Guang-Wu
Wang, Pin
Zhang, Xiao-Wei
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-11-07
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
The objective of this research was to develop a robust gene expression-based prognostic signature and scoring system for predicting overall survival (OS) of patients with high-grade serous ovarian cancer (HGSOC).
Transcriptomic data of HGSOC patients were obtained from six independent studies in the NCBI GEO database.
Genes significantly deregulated and associated with OS in HGSOCs were selected using GEO2R and Kaplan–Meier analysis with log-rank testing, respectively.
Enrichment analysis for biological processes and pathways was performed using Gene Ontology analysis.
A resampling/cross-validation method with Cox regression analysis was used to identify a novel gene expression-based signature associated with OS, and a prognostic scoring system was developed and further validated in nine independent HGSOC datasets.
We first identified 488 significantly deregulated genes in HGSOC patients, of which 232 were found to be significantly associated with their OS.
These genes were significantly enriched for cell cycle division, epithelial cell differentiation, p53 signaling pathway, vasculature development, and other processes.
A novel 11-gene prognostic signature was identified and a prognostic scoring system was developed, which robustly predicted OS in HGSOC patients in 100 sampling test sets.
The scoring system was further validated successfully in nine additional HGSOC public datasets.
In conclusion, our integrative bioinformatics study combining transcriptomic and clinical data established an 11-gene prognostic signature for robust and reproducible prediction of OS in HGSOC patients.
This signature could be of clinical value for guiding therapeutic selection and individualized treatment.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhao, Yue& Yang, Shao-Min& Jin, Yu-Lan& Xiong, Guang-Wu& Wang, Pin& Snijders, Antoine M.…[et al.]. 2019. A Robust Gene Expression Prognostic Signature for Overall Survival in High-Grade Serous Ovarian Cancer. Journal of Oncology،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1184156
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhao, Yue…[et al.]. A Robust Gene Expression Prognostic Signature for Overall Survival in High-Grade Serous Ovarian Cancer. Journal of Oncology No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1184156
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhao, Yue& Yang, Shao-Min& Jin, Yu-Lan& Xiong, Guang-Wu& Wang, Pin& Snijders, Antoine M.…[et al.]. A Robust Gene Expression Prognostic Signature for Overall Survival in High-Grade Serous Ovarian Cancer. Journal of Oncology. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1184156
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1184156
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