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Network Pharmacology-Based and Clinically Relevant Prediction of the Potential Targets of Chinese Herbs in Ovarian Cancer Patients
المؤلفون المشاركون
Liu, Jinfeng
Sun, Jing
Wu, Xiongzhi
Liu, Dan
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-10-23
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
Reports increasingly suggest that Chinese herbal medicine (CHM) has been used to treat ovarian cancer (OvCa) with a good curative effect; however, the molecular mechanisms underlying CHM are still unclear.
In this retrospective study, we explored CHM’s molecular targets for the treatment of OvCa based on clinical data and network pharmacology.
We used the Kaplan-Meier method and Cox regression analysis to verify the survival rate of 202 patients with CHM-treated OvCa.
The association between CHM and survival time was analyzed by bivariate correlation.
A target network of CHM active ingredients against OvCa was established via network pharmacology.
Cox regression analysis showed that CHM is an independent favorable prognostic factor.
The median survival time was 91 months in the CHM group and 65 months in the non-CHM group.
The survival time of FIGO stage III patients in the two groups was 91 months and 52 months, and the median survival period of FIOG stage IV patients was 60 months and 22 months, respectively (p<0.001).
Correlation analysis demonstrated that 12 herbs were closely associated with prognosis, especially in regard to the long-term benefits.
Bioinformatics analysis indicated that the anti-OvCa activity of these 12 herbs occurs mainly through the regulation of apoptosis-related protein expression, which promotes OvCa cell apoptosis and inhibits OvCa development.
They also regulate the progress of OvCa treatment by promoting or inhibiting protein expression on the p53 signaling pathway and by inhibiting the NF-κB signaling pathway by directly inhibiting NF-κB.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sun, Jing& Liu, Jinfeng& Liu, Dan& Wu, Xiongzhi. 2020. Network Pharmacology-Based and Clinically Relevant Prediction of the Potential Targets of Chinese Herbs in Ovarian Cancer Patients. BioMed Research International،Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1137891
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sun, Jing…[et al.]. Network Pharmacology-Based and Clinically Relevant Prediction of the Potential Targets of Chinese Herbs in Ovarian Cancer Patients. BioMed Research International No. 2020 (2020), pp.1-18.
https://search.emarefa.net/detail/BIM-1137891
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sun, Jing& Liu, Jinfeng& Liu, Dan& Wu, Xiongzhi. Network Pharmacology-Based and Clinically Relevant Prediction of the Potential Targets of Chinese Herbs in Ovarian Cancer Patients. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1137891
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1137891
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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