Exploration of potential molecular mechanisms and genotoxicity of anti-cancer drugs using next generation knowledge

Peter Natesan Pushparaj1, Mahmood Rasool2, Muhammad Imran Naseer3

  • 1Peter Natesan Pushparaj, PhD Associate Professor Center of Excellence in Genomic Medicine Research, Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences King Abdulaziz University, Jeddah, Saudi Arabia.

Abstract

Insights

This study used in silico methods to assess anticancer drug toxicity and molecular mechanisms, identifying pathways like TP53 signaling involved in cell death and genotoxicity for safer drug development.

Area of Science:

  • Computational toxicology
  • Pharmacology
  • Bioinformatics

Background:

  • Accurate identification of molecular and toxicological functions is crucial for drug discovery and development.
  • In silico characterization of drugs aids in evaluating genotoxicity and carcinogenesis risks.
  • Understanding drug mechanisms can inform anticancer treatment development.

Purpose of the Study:

  • To establish a risk assessment of anticancer drugs for their molecular mechanisms and genotoxicity using next-generation knowledge discovery (NGKD).
  • To identify distinct toxicological signatures and signaling pathways regulated by anticancer drugs.
  • To explore potential biomarkers for assessing treatment safety and efficacy.

Main Methods:

  • Utilized in silico model systems to assess molecular mechanisms and toxicity of 20 anticancer drugs.
  • Employed Ingenuity Pathway Analysis (IPA) to determine drug targets and analyze biological/toxicological activities.
  • Used SwissTargetPrediction and WebGestalt for target identification, pathway analysis, and gene ontology mapping.

Main Results:

  • Identified distinct toxicological signatures and canonical signaling pathways, including cell death, apoptosis, p53 signaling, and aryl hydrocarbon receptor signaling.
  • Confirmed that the TP53 signaling pathway is utilized by anticancer agents to induce cell death and apoptosis.
  • p53 was identified as a master regulator in cellular stress responses, including genotoxic stress.

Conclusions:

  • The study provides a foundation for discovering biomarkers to assess treatment safety and effectiveness.
  • NGKD tools are relevant for identifying safer therapies and rationally screening drug candidates.
  • Combining molecular profiles may be essential for developing translatable biomarkers for drug safety and efficacy.

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