Drug sensitivity and resistance genes in cancer chemotherapy: a chemogenomics approach

Ying Huang1, Wolfgang Sadée

  • 1Program of Pharmacogenomics, Dept of Pharmacology, College of Medicine and Public Health, The Ohio State University, 5078 Graves Hall, 333 W. 10th Avenue, Columbus, OH 43210, USA.

Drug Discovery Today
|April 12, 2003
PubMed

Insights

Identifying genes linked to cancer drug resistance is key for personalized medicine. This research aims to find biomarkers predicting treatment response and overcoming resistance for better patient outcomes.

Area of Science:

  • Pharmacogenomics
  • Cancer Biology
  • Molecular Oncology

Background:

  • Antineoplastic drug resistance is a major challenge in cancer therapy.
  • Genome-wide studies are crucial for understanding drug response.
  • Identifying predictive biomarkers can improve treatment selection.

Purpose of the Study:

  • To identify genes associated with chemosensitivity and drug resistance.
  • To develop predictive models for antineoplastic drug response.
  • To discover novel therapeutic targets for overcoming drug resistance.

Main Methods:

  • Correlating drug response phenotypes with large-scale genomic and proteomic datasets.
  • Utilizing DNA/tissue microarrays for comprehensive data analysis.
  • Employing genome-wide association studies.

Main Results:

  • A set of chemosensitivity and/or resistance genes has been identified.
  • These genes show potential for predicting patient response to cancer drugs.
  • The findings contribute to understanding mechanisms of drug resistance.

Conclusions:

  • Validated pharmacogenomic biomarkers can guide optimal cancer treatment selection.
  • This approach offers potential for identifying new strategies to combat drug resistance.
  • Personalized medicine strategies can be enhanced through biomarker discovery.

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