Integrated Analysis Identifies an Immune-Based Prognostic Signature for the Mesenchymal Identity in Gastric Cancer
المؤلفون المشاركون
Shu, Peng
Peng, Dongzhu
Gu, Bin
Ruan, Liming
Zhang, Xingguo
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-04-09
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Background.
Gastric cancer (GC) has been divided into four molecular subtypes, of which the mesenchymal subtype has the poorest survival.
Our goal is to develop a prognostic signature by integrating the immune system and molecular modalities involved in the mesenchymal subtype.
Methods.
The gene expression profiles collected from 6 public datasets were applied to this study, including 1,221 samples totally.
Network analysis was applied to integrate the mesenchymal modalities and immune signature to establish an immune-based prognostic signature for GC (IPSGC).
Results.
We identified six immune genes as key factors of the mesenchymal subtype and established the IPSGC.
The IPSGC can significantly divide patients into high- and low-risk groups in terms of overall survival (OS) and relapse-free survival (RFS) in discovery (OS: P<0.001) and 5 independent validation sets (OS range: P=0.05 to P<0.001; RFS range: P=0.03 to P<0.001).
Further, in multivariate analysis, the IPSGC remained an independent predictor of prognosis and performed better efficiency compared to clinical characteristics.
Moreover, macrophage M2 was significantly enriched in the high-risk group, while plasma cells were enriched in the low-risk group.
Conclusions.
We propose an immune-based signature identified by network analysis, which is a promising prognostic biomarker and help for the selection of GC patients who might benefit from more rigorous therapies.
Further prospective studies are warranted to test and validate its efficiency for clinical application.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Peng, Dongzhu& Gu, Bin& Ruan, Liming& Zhang, Xingguo& Shu, Peng. 2020. Integrated Analysis Identifies an Immune-Based Prognostic Signature for the Mesenchymal Identity in Gastric Cancer. BioMed Research International،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138290
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Peng, Dongzhu…[et al.]. Integrated Analysis Identifies an Immune-Based Prognostic Signature for the Mesenchymal Identity in Gastric Cancer. BioMed Research International No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1138290
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Peng, Dongzhu& Gu, Bin& Ruan, Liming& Zhang, Xingguo& Shu, Peng. Integrated Analysis Identifies an Immune-Based Prognostic Signature for the Mesenchymal Identity in Gastric Cancer. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138290
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1138290
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