Exploring the Natural Piericidins as Anti-Renal Cell Carcinoma Agents Targeting Peroxiredoxin 1.
Xue-Feng ZhouZhi LiangKunlong LiWei FangYuan-Xin TianXiao-Wei LuoYulian ChenZhikun ZhanTao ZhangShengrong LiaoShu-Wen LiuYong-Hong LiuWilliam FenicalLan TangPublished in: Journal of medicinal chemistry (2019)
Anti-renal cell carcinoma (RCC) agents with new mechanisms of action are urgently needed. Twenty-seven natural products of the piericidin class, including 17 new ones, are obtained from a marine-derived Streptomyces strain, and several of them show strong inhibitory activities against ACHN renal carcinoma cells. By exploring the mechanisms of two representative natural piericidin compounds, piericidin A (PA) and glucopiericidin A (GPA), peroxiredoxin 1 (PRDX1) is detected as a potential target by transcriptome data of PA-treated ACHN cells, as well as the paired RCC tumor versus adjacent nontumor tissues. PA and GPA induce cell apoptosis through reducing the reactive oxygen species level caused by upregulated PRDX1 mRNA and protein level subsequently and exhibit potent antitumor efficacy in nude mice bearing ACHN xenografts, with increasing PRDX1 expression in tumor. The interaction between PA/GPA and PRDX1 was supported by the docking analysis and surface plasmon resonance. Moreover, the translocation of PRDX1 into the nucleus forced by PA/GPA is proposed to be a key factor for the anti-RCC procedure. Piericidins provide a novel scaffold for further development of potent anti-RCC agents, and the new action mechanism of these agents targeting PRDX1 may improve upon the limitations of existing targeted drugs for the treatment of renal cancer.
Keyphrases
- renal cell carcinoma
- reactive oxygen species
- cancer therapy
- gene expression
- induced apoptosis
- cell proliferation
- poor prognosis
- binding protein
- papillary thyroid
- cell death
- protein protein
- molecular dynamics
- single cell
- squamous cell carcinoma
- adipose tissue
- metabolic syndrome
- machine learning
- anti inflammatory
- rna seq
- oxidative stress
- cell cycle arrest
- electronic health record
- drug delivery
- risk assessment
- newly diagnosed
- dna methylation
- squamous cell
- young adults
- artificial intelligence
- molecular dynamics simulations