Cancer genomics guide clinical practice in personalized medicine

Jacqueline Lehmann-Che1, Brigitte Poirot1, Jean-Christophe Boyer2

  • 1Laboratoire d'oncologie moléculaire, hôpital Saint-Louis, 1, avenue Claude-Vellefaux 75475 Paris cedex 10, France; Unité CNRS UMR7212/U944, équipe de recherche translationnelle en oncologie, bâtiment Jean-Bernard, 75475 Paris, France.

Therapie
|March 5, 2017
PubMed

Insights

Precision medicine uses genomic analysis to tailor cancer treatments, identifying optimal therapies for individual patients. This approach enhances effectiveness, minimizes side effects, and reduces costs through targeted gene analysis.

Area of Science:

  • Oncology
  • Genomics
  • Pharmacology

Background:

  • Targeted therapies represent a significant advancement in cancer treatment.
  • Precision medicine leverages genomic technologies to personalize patient care.
  • Identifying actionable targets and resistance biomarkers is crucial for optimizing treatment strategies.

Purpose of the Study:

  • To review the role of analyzing key oncogenes and driver genes in clinical decision-making.
  • To highlight seminal examples of therapeutic targets in cancer treatment.
  • To underscore the impact of cancer genomics on personalized medicine.

Main Methods:

  • Review of seminal examples of therapeutic targets.
  • Analysis of genomic technologies for tumor sample evaluation.
  • Discussion of the contribution of oncogene and driver gene analysis.

Main Results:

  • Genomic analysis identifies actionable targets and resistance biomarkers.
  • Personalized treatment selection optimizes efficacy and minimizes adverse effects.
  • Cancer genomics is integral to modern clinical management.

Conclusions:

  • Appropriate analysis of key oncogenes and driver genes is vital for clinical decisions.
  • Next-generation sequencing (NGS) expands the scope of personalized medicine.
  • Genomic-driven approaches are transforming cancer care and leading to new therapeutic options.

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