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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
From genomic data analysis to drug development: a new generation of trials using molecular marker assessment in
Sophie Doisneau-Sixou1, Nadia Harbeck2
1Breast Center, Department of Obstetrics & Gynecology, and Comprehensive Cancer Center, University of Munich, Munich, Germany. Faculty of Pharmacy, University Paul Sabatier Toulouse III, Toulouse, France.
Abstract:
With the advent of molecular subtypes in breast cancer, the landscape of clinical trials and drug development is rapidly changing. Molecular screening identifies numerous mutations but actually druggable targets are few and far between. Thus, new clinical trial concepts are needed which are feasible in clinical practice and successful from the point of view of drug development. This article highlights the evolution of the sequencing technologies, the current molecular screening efforts and their impact on drug development as well as novel successful trial designs, focusing on the hormone receptor (HR) positive breast cancer patients. The range of mutations to identify in order to adapt the treatment to each patient and limit the resistance mechanisms is quite wide already, but theoretical or practical restriction may have to be considered to optimize the development of such adaptive combinations of targeted therapies.
Insights
Molecular screening in breast cancer reveals many mutations, but few druggable targets. New clinical trial designs are crucial for developing targeted therapies and overcoming resistance in hormone receptor-positive breast cancer.
Area of Science:
- Oncology
- Genomics
- Translational Medicine
Background:
- The classification of breast cancer into molecular subtypes has transformed clinical trials and drug development.
- Despite advances in molecular screening, identifying actionable targets remains a challenge, necessitating innovative trial designs.
Purpose of the Study:
- To review the evolution of sequencing technologies and their impact on identifying druggable targets in breast cancer.
- To discuss novel clinical trial designs for hormone receptor-positive breast cancer, optimizing targeted therapy development.
- To address the challenges of treatment adaptation and resistance mechanisms in personalized breast cancer therapy.
Main Methods:
- Review of current sequencing technologies and their application in molecular screening for breast cancer.
- Analysis of the impact of molecular screening on drug development strategies.
- Examination of successful clinical trial designs incorporating targeted therapies for hormone receptor-positive breast cancer.
Main Results:
- Molecular screening identifies a wide spectrum of mutations, but the number of clinically actionable targets is limited.
- Novel trial designs are emerging to address the complexities of targeted therapy development and patient stratification.
- Optimizing treatment combinations requires careful consideration of mutation profiles and potential resistance mechanisms.
Conclusions:
- Advancements in sequencing technologies have improved molecular profiling in breast cancer, yet translating findings into effective therapies requires refined clinical trial strategies.
- Developing adaptive combination therapies for hormone receptor-positive breast cancer necessitates a balance between comprehensive mutation analysis and practical therapeutic constraints.
- Future efforts should focus on innovative trial designs that facilitate the development of targeted therapies and overcome treatment resistance, ultimately improving patient outcomes.
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