Related Experiment Video

Updated: May 23, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

[Genomics and clinical research for breast cancer]

François Bertucci1, Daniel Birnbaum

  • 1Département d'oncologie médicale, Institut Paoli-Calmettes, centre de recherche en cancérologie de Marseille, France. bertuccif@marseille.fnclcc.fr

Medecine Sciences : M/S
|April 13, 2012
PubMed

Insights

Genomic insights in breast cancer are enabling personalized treatments. Clinical trials now use tumor molecular profiles to match patients with targeted therapies, improving treatment selection.

Area of Science:

  • Genomics
  • Molecular Biology
  • Oncology

Context:

  • Breast cancer exhibits significant molecular heterogeneity.
  • High-throughput analyses reveal diverse molecular subtypes and alterations.
  • Predictive multigenic signatures are emerging for clinical outcomes.

Purpose:

  • To leverage genomic data for personalized breast cancer treatment.
  • To align novel molecularly targeted therapies with specific tumor profiles.
  • To guide patient selection for clinical trials based on molecular characteristics.

Summary:

  • Genomic research in breast cancer is driving the development of tailored therapies.
  • Molecular segmentation of tumors identifies subtypes and alterations.
  • Clinical trials are increasingly designed around molecular profiles to optimize drug selection.

Impact:

  • Facilitates the development of more effective and personalized breast cancer treatments.
  • Enhances the precision of drug targeting by matching therapies to specific molecular alterations.
  • Improves clinical trial design and patient stratification for better therapeutic outcomes.

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