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Updated: Apr 29, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Genomic analysis of breast cancer heralds a changing treatment paradigm
1Presented by Matthew Ellis, MB, BChir, PhD, Siteman Cancer Center at Barnes-Jewish Hospital and Washington University School of Medicine, St. Louis, Missouri.
Abstract:
Deep genomic analysis in breast cancer and the identification of driver mutations will result in treatments based on molecular subtypes and pathways. Mutations not yet familiar to most oncologists will become part of the clinical oncology vernacular. Such discoveries will advance the concept of "biology first, not drug first," because molecular biology will drive drug development and clinical trial design involving small, molecularly defined subsets of patients, according to a presentation at the NCCN 19th Annual Conference.
Insights
Deep genomic analysis in breast cancer identifies driver mutations, shifting treatment towards molecular subtypes. This "biology first" approach will guide drug development and clinical trials for targeted patient subsets.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Breast cancer treatment is evolving beyond traditional approaches.
- Genomic analysis is revealing critical driver mutations.
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