Incorporating Equity, Diversity and Inclusion in a Canadian Biobank.

Equity, diversity, and inclusion (EDI) is an established concept and is an important issue in health research. It is now recognized that measures to address EDI in research can have a positive impact on the value of health research outputs and health outcomes based on this knowledge. EDI strategies, guidelines, and education and training are now embraced by national research funders and local research organizations. However, these initiatives are very broad and not specific to the field of biobanking. We have, therefore, set out to develop and implement a formal research biobank EDI action plan. This article describes the creation of an EDI action plan that provides an intentional approach to identifying and achieving EDI actions and priorities for our research biobank. The plan is framed by the definitions of EDI and an understanding of the topics, issues, and groups within the EDI field. The plan is founded on a set of guiding principles and delineates three pillars of work that align with team, participant, and researcher domains. The plan identifies a set of 31 actions that are categorized by implementation time frames, in order to positively address EDI issues across these pillars. The completion of these actions will help us to mitigate against bias and enrich our biobanking and research services. Ultimately, our goal is to realize more diverse participation in research supported by our biobank. This would support health research to explore and better understand differences in disease biology and the efficacy of medical treatments across all people.

Principles of reproducible metabolite profiling of enriched lymphocytes in tumors and ascites from human ovarian cancer.

Identifying metabolites and delineating their immune-regulatory contribution in the tumor microenvironment is an area of intense study. Interrogating metabolites and metabolic networks among immune cell subsets and host cells from resected tissues and fluids of human patients presents a major challenge, owing to the specialized handling of samples for downstream metabolomics. To address this, we first outline the importance of collaborating with a biobank for coordinating and streamlining workflow for point of care, sample collection, processing and cryopreservation. After specimen collection, we describe our 60-min rapid bead-based cellular enrichment method that supports metabolite analysis between T cells and tumor cells by mass spectrometry. We also describe how the metabolic data can be complemented with metabolic profiling by flow cytometry. This protocol can serve as a foundation for interrogating the metabolism of cell subsets from primary human ovarian cancer.

Is Your Biobank Up to Standards? A Review of the National Canadian Tissue Repository Network Required Operational Practice Standards and the Controlled Documents of a Certified Biobank.

Ongoing quality management is an essential part of biobank operations and the creation of high quality biospecimen resources. Adhering to the standards of a national biobanking network is a way to reduce variability between individual biobank processes, resulting in cross biobank compatibility and more consistent support for health researchers. The Canadian Tissue Repository Network (CTRNet) implemented a set of required operational practices (ROPs) in 2011 and these serve as the standards and basis for the CTRNet biobank certification program. A review of these 13 ROPs covering 314 directives was conducted after 5 years to identify areas for revision and update, leading to changes to 7/314 directives (2.3%). A review of all internal controlled documents (including policies, standard operating procedures and guides, and forms for actions and processes) used by the BC Cancer Agency's Tumor Tissue Repository (BCCA-TTR) to conform to these ROPs was then conducted. Changes were made to 20/106 (19%) of BCCA-TTR documents. We conclude that a substantial fraction of internal controlled documents require updates at regular intervals to accommodate changes in best practices. Reviewing documentation is an essential aspect of keeping up to date with best practices and ensuring the quality of biospecimens and data managed by biobanks.

Biospecimen User Fees: Global Feedback on a Calculator Tool.

The notion of attributing user fees to researchers for biospecimens provided by biobanks has been discussed frequently in the literature. However, the considerations around how to attribute the cost for these biospecimens and data have, until recently, not been well described. Common across most biobank disciplines are similar factors that influence user fees such as capital and operating costs, internal and external demand, and market competition. A biospecimen user fee calculator tool developed by CTRNet, a tumor biobank network, was published in 2014 and is accessible online at www.biobanking.org . The next year a survey was launched that tested the applicability of this user fee tool among a global health research biobank user base, including both cancer and noncancer biobanking. Participants were first asked to estimate user fee pricing for three hypothetical user scenarios based on their biobanking experience (estimated pricing) and then to calculate fees for the same scenarios using the calculator tool (calculated pricing). Results demonstrated variation in estimated pricing that was reduced by calculated pricing. These results are similar to those found in a similar previous study restricted to a group of Canadian tumor biobanks. We conclude that the use of a biospecimen user fee calculator contributes to reduced variation of user fees and for biobank groups (e.g., biobank networks), could become an important part of a harmonization strategy.

A Model to Estimate Frozen Tissue Collection Targets in Biobanks to Support Cancer Research.

Human biospecimens are used in 40% of cancer research publications. Tumor biobanks are an important source for these biospecimens and support both prospective and retrospective research studies. Supporting retrospective research requires tumor tissue biobanks to accrue an adequate inventory, or stock, of cases comprising tumor biospecimens and associated treatment and outcomes data. We propose a model to establish appropriate targets for stocks of frozen tissue biospecimens in tumor biobanks, sufficient to support cancer research needs. Our model considers national levels of investment in academic cancer research relative to research use of cases described in publication output, and scales this to the local context of the BC Cancer Agency Tumour Tissue Repository (TTR) as an example. Adjustment factors are then applied to correct for the primary intended user base of the biobank, as well as variables intrinsic to all biobanking operations and case collection. On this basis we estimate a current target stock for the TTR of approximately 4500 cases. Local research demand derived from case release data can then be applied to fine-tune accrual targets and refine the biobank's relative portfolio of cases from different tumor sites. We recognize that current targets will need regular remodeling as research demands change over time and that our initial model has some limitations related to the need to extrapolate from available research and biobank utilization data, and does not incorporate biospecimen/case contributions within the context of a network. However, we believe the lack of models to estimate inventory targets for tumor biobanks and to better balance research demand with biospecimen supply, contributes to the hesitation of funders to provide support, and also the problems of sustainability faced by many biobanks. Creating tangible inventory targets will improve biobank efficiency, sustainability, and may also encourage increased and stable funding.

The importance of biobanking in cancer research.

BACKGROUND: Establishing the importance of biobanking in cancer research is important for research funders and for planning health research infrastructure. This study delineates the importance of biobanking to the cancer research landscape in Canada and relative to other forms of health research infrastructure. METHODS: The Cancer Research Society (CRS) is a Canadian organization with a broad mission and national portfolio that funds studies across the spectrum of cancer research. We selected all 35 investigators who received CRS grants in the 2010/11 competition and then analyzed their publications from 2010 to 2014. Articles were categorized by overall research area, acknowledged source of funding, specific scientific focus, and the presence of any data that involved an 'indicator' (human biospecimens, cell lines, animal models, advanced microscopy, flow cell sorters, and next generation sequencing) of dependence on different kinds of health research infrastructures. Publications involving biobanking and utilizing biospecimens were further classified by biospecimen provenance and type of biospecimen used. RESULTS: These investigators generated 502 (from a total of 749) papers that were related to the field of cancer research. Amongst 445 papers that contained primary data, we found no significant differences between CRS funded and 'other funded' papers in terms of biospecimen use, which occurred in 38% of articles. Overall biospecimens were mostly obtained directly from patients (17%), or indirectly from biorepositories (31%) and hospitals (46%). The proportions of studies using other tools was as follows: 54% cell lines, 32% animal models, 14% advanced microscopy, 14% flow sorters, and 8% next generation sequencing. The spectrum of research was very similar to the overall profile of cancer research in Canada in 2010. CONCLUSIONS: This study suggests that biorepositories that coordinate the activity of biobanking rank amongst the most important of established health research infrastructures as contributors to research publications.

Specimen quality evaluation in Canadian biobanks participating in the COEUR repository.

Human biological specimens are important for translational research programs such as the Canadian Ovarian Experimental Unified Resource (COEUR) funded by the Terry Fox Research Institute. Sample quality is an important consideration, as it directly impacts the quality of ensuing research. The aim of the present study was to determine the quality of tissues collected from different sites contributing to the COEUR cohort. Samples from high-grade serous ovarian tumors (fresh frozen and corresponding paraffin-embedded tissues) were provided by nine participating Canadian biobanks. All samples were shipped to a central site using a Standard Operating Protocol (SOP). DNA and RNA extraction was conducted by the quality control division of the Canadian Tumor Repository Network (CTRNet). DNA quality was determined by ß-globin gene PCR amplification, and RNA quality by the RNA integrity number (RIN), as measured by the Agilent BioAnalyzer. DNA of acceptable quality had at least three bands of ß-globin amplified from DNA (n=115/135), and a RIN number ≥7 was considered very good for RNA (n=80/135). Sample preparation and storage time had little effect on RNA or DNA quality. Protein expression was assessed on tissue microarray by immunohistochemistry with antibodies against p53, WT1, E-cadherin, CK-7, and Ki67 from formalin fixed-paraffin embedded (FFPE) tissues. As seen with a nonhierarchical clustering statistical method, there was no significant difference in immunostaining of paraffin tissues among specimens from different biobanks. Interestingly, patients with worse outcome were highly positive for p53 and weak for WT1. In conclusion, while there was no common SOP for retrospectively collected material across Canadian biobanks, these results indicate that specimens collected at these multiple sites are of comparable quality, and can serve as an adequate resource to create a national cohort for the validation of molecular biomarkers in ovarian cancer.

Intratumoral Immune Responses Can Distinguish New Primary and True Recurrence Types of Ipsilateral Breast Tumor Recurrences (IBTR).

Ipsilateral breast tumor recurrence (IBTR) is an increasingly common clinical challenge. IBTRs include True Recurrences (TR; persistent disease) and New Primaries (NP; de novo tumors), but discrimination between these is difficult. We assessed tumor infiltrating leukocytes (TIL) as biomarkers for distinguishing these types of IBTR using primary tumors and matched IBTRs from 24 breast cancer patients, half of which were identified as putative TRs and half as NPs using a previously reported clinical algorithm. Intratumoral lymphocyte populations (CD3, CD8, CD4, CD25, FOXP3, TIA1, CD20) and macrophages (CD68) were quantified by immunohistochemistry in each tumor. Compared to matched primaries, TRs showed significant trends towards increased CD3(+) and CD8(+) TIL, while these populations were often diminished in NPs. Comparison of IBTRs showed that TRs had significantly higher levels of CD3(+) (P = 0.0136), CD8(+) (P = 0.0092), and CD25(+) (P = 0.0159) TIL than NPs. We conclude that TIL may be a novel diagnostic biomarker to distinguish NP from TR IBTRs.