Anti‐cancer targets of formononetin and molecular mechanisms in osteosarcoma: Findings of bioinformatic and experimental assays. Issue 5 (15th March 2019)
- Record Type:
- Journal Article
- Title:
- Anti‐cancer targets of formononetin and molecular mechanisms in osteosarcoma: Findings of bioinformatic and experimental assays. Issue 5 (15th March 2019)
- Main Title:
- Anti‐cancer targets of formononetin and molecular mechanisms in osteosarcoma: Findings of bioinformatic and experimental assays
- Authors:
- Hu, Wei
Wu, Xianpei
Tang, Jiandong
Zhao, Guoping
Xiao, Niansu
Zhang, Li
Li, Sen - Abstract:
- Abstract: In current study, a bioinformatic‐based network pharmacology was used to identify the osteosarcoma (OGS)‐pathological targets and formononetin (FN)‐treated targets before the main core predictive biotargets were screened. In addition, all core targets were selected through a number of bioinformatic databases, followed by identification of predominant biological processes and signalling pathways of FN anti‐OGS. Further, top three core targets of FN anti‐OGS were determined as oestrogen receptor 1 (ESR1), tumour protein p53 (TP53), receptor tyrosine‐protein kinase erbB‐2 (ERBB2) respectively. In clinical biochemical data, the plasma samples of OGS showed the increased trends of alkaline phosphatase, triglyceride, blood glucose, lactate dehydrogenase, high‐sensitive C‐reactive protein and some immune cell counts when referenced to medical criteria. In clinicopathological examination, histological OGS sections resulted in increased positive cell counts of neoplastic ESR1, TP53, ERBB2. To further validate these corn proteins in experimental study in vivo, FN‐treated tumour‐bearing nude mice showed intracellular reductions of ESR1, TP53, ERBB2 positive expressions, accompanied with visibly reduced tumour weights. Collectively, our bioinformatic and experimental findings disclosed main core targets, biological processes and signalling pathways of FN anti‐OGS. Interestingly, the top core targets were representatively validated following FN treatment in vivo. Therefore, weAbstract: In current study, a bioinformatic‐based network pharmacology was used to identify the osteosarcoma (OGS)‐pathological targets and formononetin (FN)‐treated targets before the main core predictive biotargets were screened. In addition, all core targets were selected through a number of bioinformatic databases, followed by identification of predominant biological processes and signalling pathways of FN anti‐OGS. Further, top three core targets of FN anti‐OGS were determined as oestrogen receptor 1 (ESR1), tumour protein p53 (TP53), receptor tyrosine‐protein kinase erbB‐2 (ERBB2) respectively. In clinical biochemical data, the plasma samples of OGS showed the increased trends of alkaline phosphatase, triglyceride, blood glucose, lactate dehydrogenase, high‐sensitive C‐reactive protein and some immune cell counts when referenced to medical criteria. In clinicopathological examination, histological OGS sections resulted in increased positive cell counts of neoplastic ESR1, TP53, ERBB2. To further validate these corn proteins in experimental study in vivo, FN‐treated tumour‐bearing nude mice showed intracellular reductions of ESR1, TP53, ERBB2 positive expressions, accompanied with visibly reduced tumour weights. Collectively, our bioinformatic and experimental findings disclosed main core targets, biological processes and signalling pathways of FN anti‐OGS. Interestingly, the top core targets were representatively validated following FN treatment in vivo. Therefore, we reasoned that these predictive targets might be the potential biomarkers for screening and treating osteosarcoma. … (more)
- Is Part Of:
- Journal of cellular and molecular medicine. Volume 23:Issue 5(2019)
- Journal:
- Journal of cellular and molecular medicine
- Issue:
- Volume 23:Issue 5(2019)
- Issue Display:
- Volume 23, Issue 5 (2019)
- Year:
- 2019
- Volume:
- 23
- Issue:
- 5
- Issue Sort Value:
- 2019-0023-0005-0000
- Page Start:
- 3505
- Page End:
- 3511
- Publication Date:
- 2019-03-15
- Subjects:
- bioinformatics -- biomarkers -- formononetin -- mechanism -- osteosarcoma
Cytology
Medicine
Molecular Biology
Cytologie -- Périodiques
Médecine -- Périodiques
Biologie moléculaire -- Périodiques
Cytology -- Periodicals
Medicine -- Periodicals
Molecular biology -- Periodicals
611.01805 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1582-4934 ↗
http://www.blackwell-synergy.com/loi/jcmm ↗
http://www.usc.edu/hsc/nml/e-resources/info/joucelmm.html ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/jcmm.14248 ↗
- Languages:
- English
- ISSNs:
- 1582-1838
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4955.005000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17480.xml