Dynamic Biobanking for Advancing Breast Cancer Research

Area of Science:

• Oncology
• Biobanking
• Genomics

Background:

• Longitudinal patient biospecimens and data are crucial for advancing breast cancer research.
• Precision medicine approaches require access to high-quality, annotated biospecimens and comprehensive associated data.
• Cancer biobanks need to provide integrated tools for data analysis and sharing.

Purpose of the Study:

• To present the Breast Cancer Now Tissue Bank as a model for a dynamic biobanking ecosystem.
• To demonstrate how integrated biospecimens and multimodal data can support precision medicine in breast cancer.
• To highlight the importance of data sharing and analytics tools within biobanks.

Main Methods:

• Established a biobanking ecosystem linking longitudinal biospecimens with multimodal data.
• Integrated electronic health records, genomic, and imaging data.
• Provided access to data sharing and analytics tools.

Main Results:

• The Breast Cancer Now Tissue Bank serves as an exemplar of a dynamic biobanking ecosystem.
• The ecosystem successfully hosts and links longitudinal biospecimens and diverse data types.
• Integrated tools facilitate the harnessing of multimodal data for research.

Conclusions:

• Dynamic biobanking ecosystems are essential for advancing breast cancer precision medicine.
• Linking longitudinal biospecimens with integrated data and tools enhances research capabilities.
• This model supports improved risk identification, early diagnosis, and targeted therapy development.