Literature DB >> 35031699

Acquisition of taxane resistance by p53 inactivation in ovarian cancer cells.

Changfa Shu1,2, Xi Zheng1,3, Alafate Wuhafu1,4, Danielle Cicka1, Sean Doyle1, Qiankun Niu1, Dacheng Fan1, Kun Qian1, Andrey A Ivanov1,5, Yuhong Du1,5, Xiulei Mo1, Haian Fu6,7,8.   

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.
© 2022. The Author(s), under exclusive licence to Shanghai Institute of Materia Medica, Chinese Academy of Sciences and Chinese Pharmacological Society.

Entities:  

Keywords:  ACSM3; Docetaxel; Ovarian cancer; Paclitaxel; TP53; WNT signaling

Mesh:

Substances:

Year:  2022        PMID: 35031699      PMCID: PMC9433434          DOI: 10.1038/s41401-021-00847-6

Source DB:  PubMed          Journal:  Acta Pharmacol Sin        ISSN: 1671-4083            Impact factor:   7.169


  57 in total

1.  Downregulation of ACSM3 promotes metastasis and predicts poor prognosis in hepatocellular carcinoma.

Authors:  Hao-Yu Ruan; Chen Yang; Xue-Mei Tao; Jia He; Ting Wang; Hui Wang; Cun Wang; Guang-Zhi Jin; Hao-Jie Jin; Wen-Xin Qin
Journal:  Am J Cancer Res       Date:  2017-03-01       Impact factor: 6.166

Review 2.  p53, the cellular gatekeeper for growth and division.

Authors:  A J Levine
Journal:  Cell       Date:  1997-02-07       Impact factor: 41.582

3.  Cancer Statistics, 2021.

Authors:  Rebecca L Siegel; Kimberly D Miller; Hannah E Fuchs; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2021-01-12       Impact factor: 508.702

4.  HIF Inactivation of p53 in Ovarian Cancer Can Be Reversed by Topotecan, Restoring Cisplatin and Paclitaxel Sensitivity.

Authors:  Basmina Parmakhtiar; Robert A Burger; Jai-Hyun Kim; John P Fruehauf
Journal:  Mol Cancer Res       Date:  2019-05-14       Impact factor: 5.852

5.  Loss of normal p53 function confers sensitization to Taxol by increasing G2/M arrest and apoptosis.

Authors:  A F Wahl; K L Donaldson; C Fairchild; F Y Lee; S A Foster; G W Demers; D A Galloway
Journal:  Nat Med       Date:  1996-01       Impact factor: 53.440

6.  Low Dose of Paclitaxel Combined with XAV939 Attenuates Metastasis, Angiogenesis and Growth in Breast Cancer by Suppressing Wnt Signaling.

Authors:  Dattatrya Shetti; Bao Zhang; Conghui Fan; Canlong Mo; Bae Hoon Lee; Kun Wei
Journal:  Cells       Date:  2019-08-14       Impact factor: 6.600

Review 7.  Wnt signaling in cancer: therapeutic targeting of Wnt signaling beyond β-catenin and the destruction complex.

Authors:  Youn-Sang Jung; Jae-Il Park
Journal:  Exp Mol Med       Date:  2020-02-10       Impact factor: 8.718

Review 8.  Putting p53 in Context.

Authors:  Edward R Kastenhuber; Scott W Lowe
Journal:  Cell       Date:  2017-09-07       Impact factor: 41.582

Review 9.  Wnt signaling in cancer.

Authors:  T Zhan; N Rindtorff; M Boutros
Journal:  Oncogene       Date:  2016-09-12       Impact factor: 9.867

10.  Elevation of CXCL1 indicates poor prognosis and radioresistance by inducing mesenchymal transition in glioblastoma.

Authors:  Wahafu Alafate; Xiaodong Li; Jie Zuo; Hua Zhang; Jianyang Xiang; Wei Wu; Wanfu Xie; Xiaobin Bai; Maode Wang; Jia Wang
Journal:  CNS Neurosci Ther       Date:  2020-04       Impact factor: 5.243

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  1 in total

1.  A p53 transcriptional signature in primary and metastatic cancers derived using machine learning.

Authors:  Faeze Keshavarz-Rahaghi; Erin Pleasance; Tyler Kolisnik; Steven J M Jones
Journal:  Front Genet       Date:  2022-08-29       Impact factor: 4.772

  1 in total

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