Systems pharmacology using mass spectrometry identifies critical response nodes in prostate cancer

H Alexander Ebhardt1,2, Alex Root3,4, Yansheng Liu1,5

  • 11Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Auguste Piccard Hof 1, Zürich, Switzerland.

Insights

This study used systems pharmacology to test drug combinations for prostate cancer (PCa). It identified proteins like HN1 and PAK1 as drug efficacy indicators and 14-3-3 proteins as potential resistance markers.

Area of Science:

  • Oncology
  • Pharmacology
  • Systems Biology

Background:

  • Prostate carcinoma (PCa) is a common cancer in men, often driven by Androgen Receptor (AR) signaling and the PI3K-AKT-mTOR pathway.
  • Resistance to single-targeted therapies necessitates combination treatments for effective PCa management.
  • Understanding short-term molecular responses is key to predicting drug efficacy and resistance mechanisms.

Purpose of the Study:

  • To evaluate the efficacy of drug combinations in PCa using a systems pharmacology approach.
  • To identify molecular markers indicative of short-term drug response and adaptive resistance.
  • To explore potential therapeutic targets for overcoming drug resistance in PCa.

Main Methods:

  • Utilized a systems pharmacology approach combining targeted drug perturbation with mass spectrometry-based protein quantification.
  • Perturbed LNCaP clone FGC cells with 21 treatment conditions, including single and paired drug combinations targeting AR and PI3K-AKT-mTOR pathways.
  • Analyzed the short-term (24h) molecular response by quantifying 52 proteins using mass spectrometry.

Main Results:

  • Identified consistently downregulated proteins (HN1, PAK1, SPAG5) as potential early indicators of drug efficacy.
  • Identified upregulated proteins (14-3-3 proteins, KLK2) as potential early markers of adaptive response and resistance.
  • Observed increased DNA copy number and transcript levels of 14-3-3ζ (YWHAZ) with PCa progression, suggesting its role in resistance.

Conclusions:

  • Systems pharmacology is a powerful tool for discovering drug response markers and anti-resistance targets in PCa.
  • Downregulated proteins like HN1, PAK1, and SPAG5 may indicate drug efficacy.
  • Upregulated proteins, particularly 14-3-3ζ, could serve as targets to overcome therapy resistance in PCa.

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