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[Desperately seeking targets].

Bertrand Jordan1

  • 1UMR 7268 ADÉS, Aix-Marseille, Université/EFS/CNRS, Espace éthique méditerranéen, hôpital d'adultes la Timone, 264, rue Saint-Pierre, 13385 Marseille Cedex 05, France ; CoReBio PACA, case 901, parc scientifique de Luminy, 13288 Marseille Cedex 09, France.

Medecine Sciences : M/S
|March 7, 2015
PubMed
Summary
This summary is machine-generated.

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Interpreting clinical tumor sequencing data is crucial for identifying actionable targets. This helps predict patient response to targeted cancer therapies, driving research and commercial development.

Area of Science:

  • Oncology
  • Genomics
  • Bioinformatics

Context:

  • Tumor sequencing is now logistically feasible, fast, and cost-effective in clinical settings.
  • The primary challenge in clinical oncology has shifted from data acquisition to data interpretation.
  • Significant efforts are underway by public institutions and private companies to address this challenge.

Purpose:

  • To interpret complex tumor genomic data and identify actionable targets.
  • To define genomic alterations driving tumor development (tumorogenesis).
  • To predict the efficacy of targeted therapies based on tumor genetic profiles.

Summary:

  • Obtaining tumor sequence data is now practical in clinical oncology.
  • The key challenge is interpreting this data to find actionable targets.

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  • These targets are genome changes involved in tumorogenesis and predicting treatment response.

    • Impact:

    • Enables personalized medicine through targeted treatment selection.
    • Facilitates the development of novel targeted therapies.
    • Drives commercial innovation in clinical bioinformatics and diagnostics.