Literature DB >> 29366408

A High-throughput Screening of a Chemical Compound Library in Ovarian Cancer Stem Cells.

F Ricci1, L Carrassa1, M S Christodoulou2, D Passarella2, B Michel3, R Benhida3, N Martinet3, A Hunyadi4, E Ioannou5, V Roussis5, L Musso6, S Dallavalle6, R Silvestri7, N Westwood8, M Mori9, C Ingallina7, B Botta7, E Kavetsou10, A Detsi10, Z Majer11, F Hudecz11, S Bosze12, B Kaminska13, T V Hansen14, P Bertrand15, C M Athanassopoulos16, G Damia1.   

Abstract

BACKGROUND: Epithelial ovarian cancer has a poor prognosis, mostly due to its late diagnosis and the development of drug resistance after a first platinum-based regimen. The presence of a specific population of "cancer stem cells" could be responsible of the relapse of the tumor and the development of resistance to therapy. For this reason, it would be important to specifically target this subpopulation of tumor cells in order to increase the response to therapy.
METHOD: We screened a chemical compound library assembled during the COST CM1106 action to search for compound classes active in targeting ovarian stem cells. We here report the results of the high-throughput screening assay in two ovarian cancer stem cells and the differentiated cells derived from them. RESULTS AND
CONCLUSION: Interestingly, there were compounds active only on stem cells, only on differentiated cells, and compounds active on both cell populations. Even if these data need to be validated in ad hoc dose response cytotoxic experiments, the ongoing analysis of the compound structures will open up to mechanistic drug studies to select compounds able to improve the prognosis of ovarian cancer patients. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Entities:  

Keywords:  Cancer stem cell; chemical compounds library; high-throughput screening; oncology screening; ovarian cancer; therapy resistance.

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Year:  2018        PMID: 29366408     DOI: 10.2174/1386207321666180124093406

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  1 in total

Review 1.  Biomedical polymers: synthesis, properties, and applications.

Authors:  Wei-Hai Chen; Qi-Wen Chen; Qian Chen; Chunyan Cui; Shun Duan; Yongyuan Kang; Yang Liu; Yun Liu; Wali Muhammad; Shiqun Shao; Chengqiang Tang; Jinqiang Wang; Lei Wang; Meng-Hua Xiong; Lichen Yin; Kuo Zhang; Zhanzhan Zhang; Xu Zhen; Jun Feng; Changyou Gao; Zhen Gu; Chaoliang He; Jian Ji; Xiqun Jiang; Wenguang Liu; Zhuang Liu; Huisheng Peng; Youqing Shen; Linqi Shi; Xuemei Sun; Hao Wang; Jun Wang; Haihua Xiao; Fu-Jian Xu; Zhiyuan Zhong; Xian-Zheng Zhang; Xuesi Chen
Journal:  Sci China Chem       Date:  2022-04-24       Impact factor: 10.138

  1 in total

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