Rational Design and Development of HDAC Inhibitors for Breast Cancer Treatment

Deepansh Mody1, Julie Bouckaert2, Savvas N Savvides3

  • 1Department of Biotechnology, Jaypee Institute of Information Technology, A-10, Sector-62, Noida, UP, 201307, India.

Abstract

Insights

Developing novel histone deacetylase inhibitors (HDACi) is crucial for breast cancer treatment. This review explores structural insights for designing isoform-selective HDAC inhibitors, advancing personalized medicine approaches.

Area of Science:

  • Oncology
  • Molecular Biology
  • Drug Discovery

Background:

  • Breast cancer is a leading global cancer in women, with over 2 million cases in 2018, causing significant public health and economic strain.
  • Limited therapeutic options exist for triple-negative breast cancers, and resistance to current treatments necessitates novel therapeutic strategies.
  • Histone deacetylase inhibitors (HDACi) are small molecules targeting histone deacetylases, offering potential for chromosomal remodeling and correcting gene expression in breast cancer.

Purpose of the Study:

  • To review structural insights of histone deacetylases (HDACs) and their catalytic folds.
  • To guide the rational structure-based discovery of isoform-selective HDAC inhibitors for breast cancer.
  • To explore a personalized medicine approach for developing targeted breast cancer therapeutics.

Main Methods:

  • Review of structural data for various HDAC isoforms.
  • Analysis of differential HDAC expression in breast cancer subtypes.
  • Exploration of structure-based drug design principles.

Main Results:

  • Identification of structural differences among HDAC isoforms.
  • Understanding the landscape of HDAC expression in different breast cancer types.
  • Highlighting the potential of isoform-selective inhibition.

Conclusions:

  • Rational structure-based design of isoform-selective HDAC inhibitors is a promising strategy for breast cancer.
  • Targeting specific HDAC isoforms based on their expression in breast cancer cells can lead to effective and selective inhibitors.
  • This approach aligns with personalized medicine principles for improved breast cancer treatment.

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