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Dynamic Biobanking for Advancing Breast Cancer Research.

Maryam Abdollahyan1, Emanuela Gadaleta1, Millahat Asif1

  • 1Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK.

Journal of Personalized Medicine
|February 25, 2023
PubMed
Summary

Breast cancer research is advanced by biobanks providing longitudinal biospecimens and data. The Breast Cancer Now Tissue Bank offers integrated tools for precision medicine, improving risk identification and treatment.

Keywords:
bioinformaticsbreast cancerelectronic health recordsgenomicshealth informaticsprecision medicinetranslational research

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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.