Nanog Predicts Poor Prognosis in Human Pancreatic Cancer and Is Downregulated by QingyihuaJi Formula in Pancreatic Cancer Stem Cells

Qingyihuaji formula (QYHJ), confirmed efficacious in a series of clinical trials, has been applied to human pancreatic carcinoma treatment in Shanghai Cancer Center for years. Recent evidence highlighted that pluripotent stem cells transcription factor Nanog plays a pivotal role in carcinogenesis. H...

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Published inEvidence-based complementary and alternative medicine Vol. 2016; no. 2016; pp. 1 - 9
Main Authors Liu, Luming, Chen, Zhen, Wang, Peng, Weng, Lao I., Dong, Lei, Song, Libin, Yan, Pan, Gao, Song, Hua, Yongqiang
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 01.01.2016
John Wiley & Sons, Inc
Hindawi Limited
Subjects
Cancer
Cancer therapies
Care and treatment
Cell cycle
Cell growth
Chemotherapy
Health aspects
Medical prognosis
Metastasis
Oncology, Experimental
Pancreatic cancer
Prognosis
Radiation therapy
Stem cells
Transcription factors
Tumorigenesis
Tumors
China
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Summary:Qingyihuaji formula (QYHJ), confirmed efficacious in a series of clinical trials, has been applied to human pancreatic carcinoma treatment in Shanghai Cancer Center for years. Recent evidence highlighted that pluripotent stem cells transcription factor Nanog plays a pivotal role in carcinogenesis. However, there is little published information regarding the underlying clinical significance and mechanisms of transcription factor Nanog in pancreatic cancer. In this study, our results indicated that Nanog is overexpressed in human pancreatic cancer stem cells and downregulated by QYHJ, which may contribute to explain the clinical effectiveness of QYHJ and provide advanced pancreatic cancer patients with a new therapeutic option, supporting our hypothesis that the degradation pathway is another mechanism by which QYHJ affects Nanog expression.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Academic Editor: Francesca Borrelli
ISSN:1741-427X
1741-4288
DOI:10.1155/2016/7028289