RNA interference (RNAi) screening approach identifies agents that enhance paclitaxel activity in breast cancer cells

Joshua A Bauer1, Fei Ye, Clayton B Marshall

  • 1Department of Biochemistry, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 2200 Pierce Avenue, Nashville, TN 37232, USA. josh.bauer@vanderbilt.edu

Abstract

Insights

This study used RNA interference screening to identify new drug combinations that enhance paclitaxel sensitivity in breast cancer, particularly for triple-negative breast cancer (TNBC) resistant to treatment.

Area of Science:

  • Genomics
  • Cancer Biology
  • Pharmacology

Background:

  • Paclitaxel is a key chemotherapy for advanced breast cancer, but resistance limits its effectiveness, especially in triple-negative breast cancer (TNBC).
  • Developing strategies to overcome paclitaxel resistance is crucial for improving patient outcomes.

Purpose of the Study:

  • To identify novel drug targets and combinations that can sensitize breast cancer cells to paclitaxel.
  • To explore these combinations in preclinical models, including paclitaxel-resistant TNBC cell lines.

Main Methods:

  • Generated a gene set from the druggable genome and deregulated breast cancer transcripts.
  • Utilized loss-of-function RNA interference (RNAi) screens to identify genes that enhance paclitaxel sensitivity when targeted.
  • Tested pharmacological agents targeting top RNAi hits in combination with paclitaxel on breast cancer cell lines.

Main Results:

  • RNAi screens identified known pathways that enhance paclitaxel sensitivity.
  • Combinations of paclitaxel with inhibitors of PPM1D (CCT007093) and SP1 (mithramycin) showed synergistic growth inhibition.
  • A TGF-beta receptor inhibitor (LY2109761) also demonstrated synergy with paclitaxel in 3D cultures.
  • Crucially, CCT007093 and mithramycin synergized with paclitaxel to inhibit paclitaxel-resistant TNBC cell lines.

Conclusions:

  • RNAi screening is effective in identifying druggable targets and novel drug combinations to sensitize breast cancer to paclitaxel.
  • This genomic approach provides preclinical data for developing new combination therapies for clinical investigation.
  • The identified drug combinations show promise for overcoming paclitaxel resistance in TNBC.