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Acquisition of taxane resistance by p53 inactivation in ovarian cancer cells

	author = {Changfa Shu and Xi Zheng and Alafate Wuhafu and Danielle Cicka and Sean Doyle and Qiankun Niu and Dacheng Fan and Kun Qian and Andrey A. Ivanov and Yuhong Du and Xiulei Mo and Haian Fu},
	title = {Acquisition of taxane resistance by p53 inactivation in ovarian cancer cells},
	journal = {Acta Pharmacologica Sinica},
	volume = {43},
	number = {9},
	year = {2022},
	keywords = {},
	abstract = {Ovarian cancer is one of the most common gynecologic malignancies in women and has a poor prognosis. Taxanes are a class of standard first-line chemotherapeutic agents for the treatment of ovarian cancer. However, tumor-intrinsic and acquired resistance to taxanes poses major challenges to improving clinical outcomes. Hence, there is an urgent clinical need to understand the mechanisms of resistance in order to discover potential biomarkers and therapeutic strategies to increase taxane sensitivity in ovarian cancer. Here, we report the identification of an association between the TP53 status and taxane sensitivity in ovarian cancer cells through complementary experimental and informatics approaches. We found that TP53 inactivation is associated with taxane resistance in ovarian cancer cells, supported by the evidence from (i) drug sensitivity profiling with bioinformatic analysis of large- scale cancer therapeutic response and genomic datasets and (ii) gene signature identification based on experimental isogenic cell line models. Further, our studies revealed TP53-dependent gene expression patterns, such as overexpression of ACSM3, as potential predictive biomarkers of taxane resistance in ovarian cancer. The TP53-dependent hyperactivation of the WNT/β-catenin pathway discovered herein revealed a potential vulnerability to exploit in developing combination therapeutic strategies. Identification of this genotype-phenotype relationship between the TP53 status and taxane sensitivity sheds light on TP53-directed patient stratification and therapeutic discoveries for ovarian cancer treatment.},
	issn = {1745-7254},	url = {}