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Updated: Jun 4, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Gene profiling in breast cancer: time to move forward
Enrique Espinosa1, Juan Ángel Fresno Vara, Iker Sánchez Navarro
1Service of Oncology, Hospital La Paz & Instituto de Investigación Sanitaria IdiPAZ, Paseo de la Castellana, Madrid, Spain. eespinosa00@terra.es
Gene signatures can improve breast cancer prognosis and treatment selection. Integrating these gene profiles into clinical trials is key for routine adoption and targeted drug development.
Area of Science:
- Oncology
- Genomics
- Translational Medicine
Background:
- Gene signatures offer prognostic and predictive value in breast cancer, aiding in tumor sub-classification.
- Several prognostic gene signatures are commercially available, with two progressing to phase III trials.
- Predictive signatures for drug response are under development, highlighting the potential of gene profiling.
Purpose of the Study:
- To explore the role of gene signatures in breast cancer prognosis and therapy.
- To discuss the integration of gene signatures into clinical decision-making and drug development.
- To address barriers to the widespread adoption of gene profiling in routine clinical practice.
Main Methods:
- Review of current literature on gene signatures in breast cancer.
- Analysis of the clinical utility and limitations of gene profiling technologies.
- Discussion of the future integration of gene signatures in clinical trials and practice.
Main Results:
- Gene signatures can complement traditional factors for predicting breast cancer outcomes and treatment response.
- Commercial prognostic signatures are advancing, and predictive signatures are being evaluated for specific therapies.
- The combined use of different types of gene signatures holds promise for personalized medicine in breast cancer.
Conclusions:
- Gene signatures have the potential to guide therapeutic decisions and facilitate targeted drug development in specific breast cancer patient groups.
- Cost-utility and technical limitations currently hinder widespread adoption of gene profiling.
- Inclusion of gene signatures in clinical trial designs is a crucial step towards their routine clinical integration.
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