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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Breast cancer revisited using DNA array-based gene expression profiling
François Bertucci1, Patrice Viens, Pascal Hingamp
1Department of Molecular Oncology, Institut Paoli-Calmettes, Marseille, France.
Abstract:
Breast cancer is a complex genetic disease characterized by the accumulation of multiple molecular alterations. The resulting clinical heterogeneity makes current diagnostic and therapeutic strategies less than perfectly adapted to each patient. Pathological and clinical factors are insufficient to capture the complex cascade of events that drive the clinical behavior of tumors. High-throughput molecular technologies provide novel tools to tackle this complexity. In particular, DNA arrays allow the simultaneous and quantitative analysis of the mRNA expression levels of thousands of genes in a single assay. Potential applications are multiple in the cancer field and the first research results are promising; comprehensive gene expression profiles of breast tumors are providing insights into mammary oncogenesis and are revealing new tumor subgroups previously indistinguishable. Significant advances will be the identification of new diagnostic, prognostic and predictive biomarkers as well as the discovery of new potential therapeutic targets. This review presents recent applications of DNA arrays in breast cancer research and discusses some issues to address in the near future to allow the technology to reach its full potential.
Insights
DNA arrays analyze gene expression in breast cancer, revealing new tumor subgroups and biomarkers. This technology offers insights into mammary oncogenesis and identifies new therapeutic targets for personalized treatment.
Area of Science:
- Oncology
- Genetics
- Molecular Biology
Background:
- Breast cancer is a complex genetic disease with significant clinical heterogeneity.
- Current diagnostic and therapeutic strategies are limited by the inability to fully capture tumor complexity.
- Pathological and clinical factors alone are insufficient for precise patient stratification.
Purpose of the Study:
- To review recent applications of DNA arrays in breast cancer research.
- To highlight the potential of high-throughput molecular technologies in understanding breast cancer.
- To discuss future challenges and opportunities for DNA array technology in oncology.
Main Methods:
- Utilizing high-throughput molecular technologies, specifically DNA arrays.
- Simultaneously and quantitatively analyzing mRNA expression levels of thousands of genes.
- Generating comprehensive gene expression profiles of breast tumors.
Main Results:
- DNA arrays provide novel insights into mammary oncogenesis.
- Identification of previously indistinguishable breast tumor subgroups.
- Promising results in revealing new diagnostic, prognostic, and predictive biomarkers.
Conclusions:
- DNA arrays are powerful tools for tackling breast cancer complexity.
- The technology facilitates the discovery of new therapeutic targets.
- Addressing future challenges will enable DNA arrays to reach their full potential in personalized breast cancer care.
