Integrated Analysis of Oncogenic Networks in Colorectal Cancer Identifies GUCA2A as a Molecular Marker
المؤلفون المشاركون
Feng, Jifeng
Zhang, Hui
Du, Yuanyuan
Wang, Zhuo
Lou, Rui
Wu, Jianzhong
المصدر
Biochemistry Research International
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-07-28
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Colorectal cancer (CRC) is one of the most common and deadly malignancies in the world.
In China, the morbidity rate of CRC has increased during the period 2000 to 2011.
Biomarker detection for early CRC diagnosis can effectively reduce the mortality of patients with CRC.
To explore the underlying mechanisms of effective biomarkers and identify more of them, we performed weighted correlation network analysis (WGCNA) on a GSE68468 dataset generated from 378 CRC tissue samples.
We screened the gene set (module), which was significantly associated with CRC histology, and analyzed the hub genes.
The key genes were identified by obtaining six colorectal raw data (i.e., GSE25070, GSE44076, GSE44861, GSE21510, GSE9348, and GSE21815) from the GEO database (https://www.ncbi.nlm.nih.gov/geo).
The robust differentially expressed genes (DEGs) in all six datasets were calculated and obtained using the library “RobustRankAggreg” package in R 3.5.1.
An integrated analysis of CRC based on the top 50 downregulated DEGs and hub genes in the red module from WGCNA was conducted, and the intersecting genes were screened.
The Kaplan–Meier plot was further analyzed, and the genes associated with CRC prognosis based on patients from the TCGA database were determined.
Finally, we validated the candidate gene in our clinical CRC specimens.
We postulated that the candidate genes screened from the database and verified by our clinical pathological data may contribute to understanding the molecular mechanisms of tumorigenesis and may serve as potential biomarkers for CRC diagnosis and treatment.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Hui& Du, Yuanyuan& Wang, Zhuo& Lou, Rui& Wu, Jianzhong& Feng, Jifeng. 2019. Integrated Analysis of Oncogenic Networks in Colorectal Cancer Identifies GUCA2A as a Molecular Marker. Biochemistry Research International،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1129071
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Hui…[et al.]. Integrated Analysis of Oncogenic Networks in Colorectal Cancer Identifies GUCA2A as a Molecular Marker. Biochemistry Research International No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1129071
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Hui& Du, Yuanyuan& Wang, Zhuo& Lou, Rui& Wu, Jianzhong& Feng, Jifeng. Integrated Analysis of Oncogenic Networks in Colorectal Cancer Identifies GUCA2A as a Molecular Marker. Biochemistry Research International. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1129071
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1129071
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