Brain tumor biobanking in the precision medicine era: building a high-quality resource for translational research in neuro-oncology

Quinn T. Ostrom(Cornell University), Karen Devine(Cornell University), Jordonna Fulop(Cornell University), Yingli Wolinsky(Cornell University), Peter Liao(Cornell University), Lindsay Stetson(Cornell University), Marta Couce(Cornell University), Andrew E. Sloan(Cornell University), Jill S. Barnholtz‐Sloan(Cornell University)
Neuro-Oncology Practice
December 30, 2016
Cited by 9Open Access
Full Text

Abstract

The growth of precision medicine has made access to biobanks with high-quality, well-annotated neuro-oncology biospecimens critical. Developing and maintaining neuro-oncology biobanks is best accomplished through multidisciplinary collaboration between clinicians and researchers. Balancing the needs and leveraging the skills of all stakeholders in this multidisciplinary effort is of utmost importance. Collaboration with a multidisciplinary team of clinicians, health care team members, and institutions, as well as patients and their families, is essential for access to participants in order to obtain informed consent, collect samples under strict standard operating procedures, and accurate and relevant clinical annotation. Once a neuro-oncology biobank is established, development and implementation of policies related to governance and distribution of biospecimens (both within and outside the institution) is of critical importance for sustainability. Proper implementation of a governance process helps to ensure that the biospecimens and data can be utilized in research with the largest potential benefit. New NIH and peer-reviewed journal policies related to public sharing of 'omic' data generated from stored biospecimens create new ethical challenges that must be addressed in developing informed consents, protocols, and standard operating procedures. In addition, diversification of sources of funding for the biobanks is needed for long-term sustainability.


Related Papers

No related papers found

Powered by citation graph analysis