Identification of FOS as a Candidate Risk Gene for Liver Cancer by Integrated Bioinformatic Analysis
المؤلفون المشاركون
Zhou, Jian
Fu, Peiyao
Hu, Jin-Wu
Ding, Guang-Yu
Tang, Wei-Guo
Sun, Qi-Man
Zhu, Xiao-Dong
Shen, Ying-Hao
Fan, Jia
Sun, Hui-Chuan
Huang, Cheng
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-03-23
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Liver cancer is a lethal disease that is associated with poor prognosis.
In order to identify the functionally important genes associated with liver cancer that may reveal novel therapeutic avenues, we performed integrated analysis to profile miRNA and mRNA expression levels for liver tumors compared to normal samples in The Cancer Genome Atlas (TCGA) database.
We identified 405 differentially expressed genes and 233 differentially expressed miRNAs in tumor samples compared with controls.
In addition, we also performed the pathway analysis and found that mitogen-activated protein kinases (MAPKs) and G-protein coupled receptor (GPCR) pathway were two of the top significant pathway nodes dysregulated in liver cancer.
Furthermore, by examining these signaling networks, we discovered that FOS (Fos proto-oncogene, AP-1 transcription factor subunit), LAMC2 (laminin subunit gamma 2), and CALML3 (calmodulin like 3) were the most significant gene nodes with high degrees involved in liver cancer.
The expression and disease prediction accuracy of FOS, LAMC2, CALML3, and their interacting miRNAs were further performed using a HCC cohort.
Finally, we investigated the prognostic significance of FOS in another HCC cohort.
Patients with higher FOS expression displayed significantly shorter time to recurrence (TTR) and overall survival (OS) compared with patients with lower expression.
Collectively, our study demonstrates that FOS is a potential prognostic marker for liver cancer that may reveal a novel therapeutic avenue in this lethal disease.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hu, Jin-Wu& Ding, Guang-Yu& Fu, Peiyao& Tang, Wei-Guo& Sun, Qi-Man& Zhu, Xiao-Dong…[et al.]. 2020. Identification of FOS as a Candidate Risk Gene for Liver Cancer by Integrated Bioinformatic Analysis. BioMed Research International،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1136199
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hu, Jin-Wu…[et al.]. Identification of FOS as a Candidate Risk Gene for Liver Cancer by Integrated Bioinformatic Analysis. BioMed Research International No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1136199
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hu, Jin-Wu& Ding, Guang-Yu& Fu, Peiyao& Tang, Wei-Guo& Sun, Qi-Man& Zhu, Xiao-Dong…[et al.]. Identification of FOS as a Candidate Risk Gene for Liver Cancer by Integrated Bioinformatic Analysis. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1136199
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1136199
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