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Dihydroartemisinin selectively inhibits PDGFRα-positive ovarian cancer growth and metastasis through inducing degradation of PDGFRα protein.

TLDR
Dihydroartemisinin, one of the most active derivatives of ArtemisinIn, directly targets platelet-derived growth factor receptor-alpha (PDGFRα) to inhibit ovarian cancer cell growth and metastasis and shed high light on future development of novel Artemisinin-based targeted therapy.
Abstract
To develop traditional medicines as modern pharmacotherapies, understanding their molecular mechanisms of action can be very helpful. We have recently reported that Artemisinin and its derivatives, which are clinically used anti-malarial drugs, have significant effects against ovarian cancer, but the direct molecular targets and related combination therapy have been unclear. Herein, we report that dihydroartemisinin, one of the most active derivatives of Artemisinin, directly targets platelet-derived growth factor receptor-alpha (PDGFRα) to inhibit ovarian cancer cell growth and metastasis. Dihydroartemisinin directly binds to the intercellular domain of PDGFRα, reducing its protein stability by accelerating its ubiquitin-mediated degradation, which further inactivates downstream phosphoinositide 3-Kinase and mitogen-activated protein kinase pathways and subsequently represses epithelial–mesenchymal transition, inhibiting cell growth and metastasis of PDGFRα-positive ovarian cancer in vitro and in vivo. A combinational treatment reveals that dihydroartemisinin sensitizes ovarian cancer cells to PDGFR inhibitors. Our clinical study also finds that PDGFRα is overexpressed and positively correlated with high grade and metastasis in human ovarian cancer. Considering that Artemisinin compounds are currently clinically used drugs with favorable safety profiles, the results from this study will potentiate their use in combination with clinically used PDGFRα inhibitors, leading to maximal therapeutic efficacy with minimal adverse effects in PDGFRα-positive cancer patients. These findings also shed high light on future development of novel Artemisinin-based targeted therapy.

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Naturally occurring anti-cancer compounds: shining from Chinese herbal medicine.

TL;DR: The present review has extended to describe other promising compounds including dihydroartemisinin, ginsenoside Rh2, compound K, cucurbitacins D, E, I, tanshinone IIA and cryptotanshin one in view of their potentials in cancer therapy.
Journal ArticleDOI

Artemisinin, the Magic Drug Discovered from Traditional Chinese Medicine

TL;DR: An overview of the story of artemisinin in terms of its past, present, and future is provided, and the importance of relating mechanistic studies to therapeutic outcomes is emphasized, both in malarial and non-malarial contexts.
Journal ArticleDOI

Dihydroartemisinin: A Potential Natural Anticancer Drug.

TL;DR: In this article, the authors comprehensively summarized the latest progress regarding the anticancer activities of DHA in cancer, and provided a strong theoretical support for DHA as an anticancer drug.
Journal ArticleDOI

New opportunities and challenges of natural products research: When target identification meets single-cell multiomics

TL;DR: Wang et al. as mentioned in this paper reviewed the molecular mechanisms of action of natural products from different sources used in the treatment of inflammatory diseases and cancer, introducing the methods and newly emerging technologies used to identify and validate the targets of natural active ingredients.
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Targeting the p53-MDM2 pathway for neuroblastoma therapy: Rays of hope.

TL;DR: Restoring p53 function by inhibiting its interaction with MDM2 is a potential therapeutic strategy for neuroblastoma and a number of p53-MDM2 antagonists have been designed and studied for this purpose.
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Journal ArticleDOI

The biology of ovarian cancer: new opportunities for translation

TL;DR: Increase in long-term survival in ovarian cancer patients might be achieved by translating recent insights at the molecular and cellular levels to personalize individual strategies for treatment and to optimize early detection.
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