Screening a living biobank identifies cabazitaxel as a strategy to combat acquired taxol resistance in high-grade serous ovarian cancer

Anthony Tighe, Anthony Tighe, Robert Morgan, Bethany Barnes, I-Hsuan Lin, Samantha Littler, James Altringham, Jean Ling Tan, Joanne Mcgrail, Stephen Taylor*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The anti-mitotic agent taxol (paclitaxel) remains a cornerstone of ovarian cancer treatment. To tackle drug resistance and toxicity, second-generation targeted anti-mitotic agents and combination strategies are being explored but have yet to demonstrate meaningful clinical benefit. A limitation is the lack of a platform to compare strategies in models that capture disease heterogeneity. To overcome this, we screen 83 patient-derived ex vivo ovarian cancer models that exhibit extensive intra- and inter-patient heterogeneity, testing four distinct approaches to enhance taxol sensitivity. Inhibitors of the HSET kinesin or the Mps1 spindle assembly check point kinase show minimal impact on the taxol-sensitivity landscape. By contrast, Bcl-xL inhibition exerts a global anti-proliferative effect. Inhibition of the MDR1 drug-efflux pump restores taxol sensitivity in models characterized by ABCB1 overexpression. These MDR1-driven resistant models also respond to cabazitaxel, which is a poor MDR1 substrate, highlighting a potential therapeutic option for ovarian cancers with acquired taxol resistance.
Original languageEnglish
Article number102160
JournalCell Reports Medicine
Early online date3 Jun 2025
DOIs
Publication statusE-pub ahead of print - 3 Jun 2025

Keywords

  • Ovarian cancer
  • chromosome instability
  • drug resistance
  • centrosome amplification
  • spindle assembly check-point
  • ABCB1
  • MDR1
  • taxol
  • paclitaxel
  • intrinsic apoptosis pathway

Fingerprint

Dive into the research topics of 'Screening a living biobank identifies cabazitaxel as a strategy to combat acquired taxol resistance in high-grade serous ovarian cancer'. Together they form a unique fingerprint.

Cite this