Targeting mitochondria in cancer therapy could provide a basis for the selective anti-cancer activity

Dmitri Rozanov1, Anton Cheltsov2, Aaron Nilsen3

  • 1Department of Molecular and Medical Genetics, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, United States of America.

Plos One
|March 26, 2019
PubMed

Insights

Structure-activity relationship studies identified that inhibiting the mitochondrial electron transfer chain (ETC) differentiates safe anti-cancer compounds from toxic ones. This finding aids in developing potent, non-toxic cancer therapeutics.

Area of Science:

  • Medicinal Chemistry
  • Pharmacology
  • Cancer Biology

Background:

  • A novel lead compound, NSC130362, exhibits selective anti-cancer efficacy and safety in normal cells.
  • Understanding the molecular target of NSC130362 is crucial for developing safer cancer therapies.

Purpose of the Study:

  • To elucidate the target of NSC130362 responsible for its selective anti-cancer activity and safety.
  • To conduct structure-activity relationship (SAR) studies on 1,4-naphthoquinines and quinoline-5,8-diones.

Main Methods:

  • SAR studies involved cell viability assays using pancreatic cancer (MIA PaCa-2) and breast cancer (HCC1187) cells, alongside normal human hepatocytes.
  • Compounds were categorized based on their ability to induce apoptosis selectively in cancer cells or in both cancer and normal cells.
  • Inhibition of the mitochondrial electron transfer chain (ETC) was assessed as a key distinguishing activity.

Main Results:

  • A library of 1,4-naphthoquinines and quinoline-5,8-diones was synthesized and tested.
  • Compounds were identified that selectively induce apoptosis in cancer cells without harming normal cells.
  • Inhibition of the mitochondrial ETC was found to be a critical differentiator between non-toxic and toxic compounds.

Conclusions:

  • Selective inhibition of the mitochondrial ETC is key to developing anti-cancer compounds with improved potency and safety.
  • Quantitative SAR (QSAR) models can be utilized to design effective and non-toxic anti-cancer agents.
  • This research provides a foundation for the rational design of next-generation cancer therapeutics.

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