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Updated: Aug 23, 2026

Orthotopic Transplantation of Breast Tumors as Preclinical Models for Breast Cancer
Published on: May 18, 2020
[Therapeutic implications of advances in breast cancer biology]
François Bertucci1, Anthony Gonçalves, Dominique Maraninchi
1Département d'oncologie médicale, département d'oncologie moléculaire, Institut Paoli-Calmettes, IFR57, 13273 Marseille 09. bertuccif@marseille.fnclcc.fr
Abstract:
The polygenic and multifactor genetic basis of breast cancer confers to each tumour a different phenotype and clinical outcome. A therapeutic stake is to better determine this heterogeneity by using more reliable prognostic factors and to develop molecular therapies targeting the tumour cells selectively. The study of molecular alterations in breast cancer allowed considerable therapeutic progress by use of the hormonal receptors and the ERBB2 receptor. Today, new high-throughput technologies such as DNA microarrays allow measuring the activity of thousands of genes in a sample simultaneously. The awaited repercussions are multiple. Expression profiling of breast tumours allows the identification of new sub-groups of tumour in groups a priori identical, but with different outcome. This stratification should make it possible to better tailor the treatment and boost the discovery of new therapeutic targets
Insights
Breast cancer
Area of Science:
- Genomics and molecular biology research.
- Focus on cancer genetics and personalized medicine.
Context:
- Breast cancer exhibits genetic heterogeneity, influencing tumor phenotype and patient outcomes.
- Current therapies target hormonal and ERBB2 receptors, but limitations remain.
- High-throughput technologies like DNA microarrays offer new analytical capabilities.
Purpose:
- To leverage advanced genomic technologies for a deeper understanding of breast cancer heterogeneity.
- To identify novel prognostic factors and therapeutic targets.
- To improve patient stratification for tailored treatments.
Summary:
- DNA microarrays enable simultaneous measurement of thousands of gene activities in breast tumors.
- Gene expression profiling can reveal previously unrecognized tumor subgroups with distinct clinical outcomes.
- This approach facilitates more precise patient stratification and the discovery of new therapeutic strategies.
Impact:
- Enables more accurate prediction of patient prognosis.
- Facilitates the development of targeted molecular therapies.
- Advances personalized medicine approaches in oncology.
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