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Pharmacogenomics of breast cancer targeted therapy: focus on recent patents

Eugenia Ch Yiannakopoulou1

  • 1Department of Basic Medical Lessons Faculty of Health and Caring Professions Technological Educational Institute of Athens, Athens, Greece. nyiannak@teiath.gr

Recent Patents on DNA & Gene Sequences
|January 14, 2012
PubMed

Insights

Pharmacogenomics can explain why some women with hormone receptor-positive breast cancer respond differently to targeted therapies like tamoxifen and HER2 inhibitors. Understanding genetic variations is key to personalized breast cancer treatment.

Area of Science:

  • Oncology
  • Pharmacogenomics
  • Genetics

Background:

  • Adjuvant endocrine and targeted therapies improve outcomes for hormone receptor-positive breast cancer.
  • However, significant inter-individual variability exists in treatment response and resistance to targeted therapies.
  • Pharmacogenomics offers a potential explanation for these observed differences in treatment efficacy.

Purpose of the Study:

  • To review the role of pharmacogenomics in targeted breast cancer therapies.
  • To focus on the clinical relevance of genetic variations influencing treatment response.
  • To present recent patents and a hypothesis for future research in personalized breast cancer treatment.

Main Methods:

  • Literature review of pharmacogenomics in breast cancer targeted therapy.
  • Focus on genetic variations impacting tamoxifen, aromatase inhibitors, HER2 inhibitors, and anti-angiogenic agents.
  • Review of recent patents and formulation of a testable hypothesis.

Main Results:

  • Genetic variations play a role in the variable response to targeted breast cancer therapies.
  • Pharmacogenomic data is crucial for understanding treatment efficacy and resistance.
  • Recent patents show promise for personalized medicine, but clinical validation is needed.

Conclusions:

  • Pharmacogenomics is essential for understanding and improving targeted breast cancer treatments.
  • Further research, including the publication of negative results, is needed to advance personalized medicine.
  • Identifying biologically meaningful genetic variations will optimize patient outcomes.

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