Literature DB >> 27176137

Transcriptional network in ovarian cancer cell line SKOV3 treated with Pinellia pedatisecta Schott extract.

Li Zhou1, Teng Xu2, Ying Zhang2, Mei Zhu2, Wen Zhu2, Ziqiang Wang2, Hangzhi Gu2, Hanchu Wang2, Peizhen Li2, Jun Ying2, Lei Yang2, Ping Ren2, Jinsong Li2, Zuyuan Xu2, Liyan Ni3, Qiyu Bao1, Jindong Chen4.   

Abstract

Ovarian cancer is the most lethal disease among the malignant tumors of female reproductive organs. Few successful therapeutic options exist for patients with ovarian cancer. The common therapeutic methods are surgical operation, chemotherapy, radiotherapy, and combination of these treatments. In recent years, studies have indicated that Pinellia pedatisecta Schott (PPS), a traditional Chinese medicine, could inhibit tumor growth. In this study, we demonstrated that PPS extract could induce apoptosis in SKOV3 cells in a dose- and time-dependent manner. We further conducted transcriptome sequencing on PPS extract-treated SKOV3 cells along with controls, and identified 1,754 transcripts whose expression differs at least 3-fold over the controls. These differentially expressed transcripts include the apoptosis-related genes such as the caspase family members, and were significantly enriched in steroid biosynthesis in the KEGG pathway database compared with the transcriptome background. Most of the differentially expressed transcripts from this pathway were upregulated in PPS extract-treated cell line, indicating that PPS extract-induced apoptosis was accompanied by increased steroid biosynthesis (e.g. zymosterol). These results suggest that PPS extract could be a new cytostatic therapeutic agent for ovarian cancer.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27176137     DOI: 10.3892/or.2016.4779

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  1 in total

1.  Antitumor effects of baicalin on ovarian cancer cells through induction of cell apoptosis and inhibition of cell migration in vitro.

Authors:  Chen Gao; Yinglu Zhou; Huatao Li; Xia Cong; Zhongling Jiang; Xin Wang; Rongfeng Cao; Wenru Tian
Journal:  Mol Med Rep       Date:  2017-10-10       Impact factor: 2.952

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.