The Utilization of Biospecimens: Impact of the Choice of Biobanking Model

The Cooperative Human Tissue Network of the National Cancer Institute: Supporting Cancer Research for 35 Years

The Cooperative Human Tissue Network was created by the NCI in 1987 to support a coordinated national effort to collect and distribute high quality, pathologist-validated human tissues for cancer research. Since then, the network has expanded to provide different types of tissue samples, blood and body fluid samples, immunohistologic and molecular sample preparations, tissue microarrays, and clinical datasets inclusive of biomarkers and molecular testing. From inception through the end of 2021, the network has distributed 1,375,041 biospecimens. It served 889 active investigators in 2021. The network has also taken steps to begin to optimize the representation of diverse communities among the distributed biospecimens. In this article, the authors review the 35-year history of this network, describe changes to the program over the last 15 years, and provide operational and scientific highlights from each of the divisions. Readers will learn how to engage with the network and about the continued evolution of the program for the future.

Review of Indicators in the Context of Biobanking

Background: Biobanks that intend to serve as high-performing and stable elements of an innovative research ecosystem must have an established system for regular measurement and evaluation using appropriately set indicators. The main objective of this study was to provide a comprehensive overview of indicators in the context of biobanking, with new perspectives to highlight the existence of numerous options and introduce indicators that could help overcome problems associated with the difficult assessment of the impact of biobanks. Methods: A literature review was performed to identify publications relevant to the topic of indicators in biobanking. The Web of Science Core Collection and PubMed databases were searched using specific keywords. In addition, three articles that focused on indicators designed for the evaluation of research infrastructures were included in the review. Results: Based on the scientific literature for the biobanking field, many types of quantitative and qualitative indicators exist. They are mainly related to the quantity and quality of data and samples, their distribution, the monitoring of research projects, and subsequent publication outputs. The indicators identified in the biobanking literature primarily focus on the outcome, not the impact. Conclusions: Indicators identified in the biobanking literature may be further expanded with suggestions designed for other types of research infrastructures, while considering the context where biobanks operate and the needs of individual biobanking stakeholders. The establishment of a comprehensive monitoring system that captures all necessary elements is crucial for modern biobanks.

Consensus Definition of Blood Samples from the Subcategorized Normal Controls in the Korea Biobank Network

A control group is defined as a group of people used for comparison. Depending on the type of study, it can be a group of healthy people or a group not exposed to risk factors. It is important to allow researchers to select the appropriate control participants. The Korea Biobank Project-sponsored biobanks are affiliated with the Korea Biobank Network (KBN), for which the National Biobank of Korea plays a central coordinating role among KBN biobanks. KBN organized several working groups to address new challenges and needs in biobanking. The "Normal Healthy Control Working Group" developed standardized criteria for three defined control groups, namely, normal, normal-plus, and disease-specific controls. Based on the consensus on the definition of a normal control, we applied the criteria for normal control participants to retrospective data. The main reason for exclusion from the "Normal-plus" group was blood test results beyond 5% of the reference range, including hypercholesterolemia. Subclassification of samples of normal controls by detailed criteria will help researchers select optimal normal controls for their studies.

Effects of donor source on transcriptomic profiles of human kidney tissue

Normal human tissue is a critical reference control in biomedical research. However, the type of tissue donor can significantly affect the underlying biology of the samples. We investigated the impact of tissue donor source type by performing transcriptomic analysis on healthy kidney tissue from three donor source types: cadavers, organ donors, and normal-adjacent tissue from surgical resections of clear cell renal cell carcinomas, and we compared the gene expression profiles to those of clear cell renal cell carcinoma samples. Comparisons among the normal samples revealed general similarity, with notable differences in gene expression pathways involving immune system and inflammatory processes, response to extracellular stimuli, ion transport, and metabolism. When compared to tumors, the transcriptomic profiles of the normal adjacent tissue were highly similar to the profiles from cadaveric and organ donor tissue samples, arguing against the presence of a field cancerization effect in clear cell renal cell carcinoma. We conclude that all three normal source types are suitable for reference kidney control samples, but important differences must be noted for particular research areas and tissue banking strategies.

The Use of Human Tissues for Research: What Investigators Need to Know

While laboratory animals are necessary for some aspects of the development of scientific and biomedical advances, including those of precision medicine, the use of human tissues is necessary in order to explore the findings and ensure that they are relevant to human systems. Many sources of human tissues exist, but researchers - particularly those making the transition from animal to human systems - may not be aware of how best to find quality sources of human tissues or how best to use them in their research. In this article, we discuss the advantages of using human tissues in research. In addition, we highlight some of the major advances made possible through the use of human tissue, and describe how human tissue is collected for research. We discuss the various types of bioresources that make human tissue available, and advise on how investigators can find and use appropriate bioresources to support their research - with the hope that this information will help facilitate the transition from research on animals to research using human tissues, as rapidly as is practicable.

The Availability of Human Biospecimens to Support Biomarker Research

Preserved biospecimens held in biobank inventories and clinical archives are important resources for biomarker research. Recent advances in technologies have led to an increase in use of clinical archives in particular, in order to study retrospective cohorts and to generate data relevant to tissue biomarkers. This raises the question of whether the current sizes of biobank inventories are appropriate to meet the demands of biomarker research. This commentary discusses this question by considering data concerning overall biobank and biospecimen numbers to estimate current biospecimen supply and use. The data suggests that biospecimen supply exceeds current demand. Therefore, it may be important for individual biobanks to reassess the targets for their inventories, consider culling unused portions of these inventories, and shift resources towards providing prospective custom biobanking services.

Analysis of Trends in Biospecimen Complexity in Cancer Research Over Two Decades

Background: Over time, researchers' demand for increased quality and quantity of biospecimens has risen. However, quality is multifaceted, ranging from simple to complex, and comes at a cost. Therefore, to be sustainable and ensure optimal utilization of their resources (supply), biobanks must consider the trends in biospecimen use to predict the needs for future biospecimen quality (demand). Methods: An unbiased selection process was used to identify research articles from across the spectrum of cancer research from the PubMed database. A set of 225 articles utilizing human biospecimens were randomly selected for review (75 articles from each of three time intervals; 2000, 2010, 2020). Criteria for determining the source and complexity of quality of biospecimens were developed and overall concordance between two independent observers abstracting the data was then confirmed (k = 0.87) to validate the criteria. Results: We observed increased use of dual biospecimen formats (20%-36% of articles, p = 0.03), matched samples (16%-37% of articles, p = 0.0033), and biospecimens with associated outcomes data (20%-49%, p = 0.0002). In addition, the use of two or more cohorts increased over time (p = 0.03). The mechanism through which biospecimens were obtained also changed over time with an increase in the diversity of collection pathways used (p = 0.006). Conclusions: The complexity of biospecimens being used in cancer research and the diversity of collection pathways through which these are obtained has changed significantly. This observation is important for biobanks given that the cost to support the supply of biospecimens with complex extrinsic as opposed to simple intrinsic quality characteristics is greater. For biobanks to manage sustainability, optimize utilization, and meet changing research demand, they may need to adjust their operational models to better support the supply of these types of biospecimens.

Vignettes to Illustrate the Value of Tumor Biobanks in Cancer Research in Canada

Background: Tumor biobanks are a common research infrastructure. As a collection of biospecimens and annotated data collected to support a multitude of research projects, biobanks facilitate access to materials that are the critical fuel for the generation of data in up to 40% of cancer research publications. However, quantifying how to measure biobanks' impact and their value on the field of cancer research discoveries and findings, has not been well elucidated. Methods: We have used a qualitative case study approach to illustrate the impact of tumor biobanks. We assessed the impact of three research studies published between 2010 and 2012 that required easily accessible "classic" biobanks. Each study utilized preassembled collections of tumor biospecimens with associated patient outcomes data at the outset of the research project. We compared the resulting journal impact factor, altmetric and field-weighted citation impact factor scores for each article to a set of six "benchmark" articles that represent cancer research and treatment discoveries from the same time period and two sentinel scientific discovery articles. Results: We developed a value model using a literature search and design-thinking methodologies to illustrate the contributions of these "classic" model biobanks to these research studies. Assessment of the three example articles supported by biobanks demonstrates that the output can have impact that is comparable to the impact of a set of benchmark articles describing milestones in the field of cancer research and cancer care. Conclusions: These case studies illustrate the value of the sustained investment of funds, planning, time, and effort on the part of the biobanks before the conduct of the research study to be able to ultimately support high-value research. The "value" model will enable further discussion around impact and may be useful in better delineating qualitative metrics of biobank value in the future.

Building Research Support Capacity across Human Health Biobanks during the COVID-19 Pandemic

Human health biobanks are forms of research infrastructure that supply biospecimens and associated data to researchers, and therefore juxtapose the activities of clinical care and biomedical research. The discipline of biobanking has existed for over 20 years and is supported by several international professional societies and dedicated academic journals. However, despite both rising research demand for human biospecimens, and the growth of biobanking as an academic discipline, many individual biobanks continue to experience sustainability challenges. This commentary will summarize how the COVID-19 pandemic is creating new challenges and opportunities for both the health biobanking sector and the supporting discipline of biobanking. While the challenges for biobanks may be numerous and acute, there are opportunities for both individual biobanks and the discipline of biobanking to embrace change such that biobanks can continue to support and drive biomedical research. We will therefore describe numerous practical steps that individual biobanks and/or the discipline of biobanking can take to survive and possibly thrive in response to the COVID-19 pandemic.

National Dementia BioBank: A Strategy for the Diagnosis and Study of Neurodegenerative Diseases in México

We recently developed the National Dementia Biobank in México (BioBanco Nacional de Demencias, BND) as a unit for diagnosis, research, and tissue transfer for research purposes. BND is associated with the Facultad de Estudios Superiores Cuautitlán, Universidad Nacional Autónoma de Mexico (UNAM), Mexico. The donation of fluids, brain, and other organs of deceased donors is crucial for understanding the underlying mechanisms of neurodegenerative diseases and for the development of successful treatment. Our laboratory research focuses on 1) analysis of the molecular processing of the proteins involved in those neurodegenerative diseases termed tauopathies and 2) the search for biomarkers for the non-invasive and early diagnosis of Alzheimer's disease.

Moving with the Times: The Health Science Alliance (HSA) Biobank, Pathway to Sustainability

Human biobanks are recognised as vital components of translational research infrastructure. With the growth in personalised and precision medicine, and the associated expansion of biomarkers and novel therapeutics under development, it is critical that researchers can access a strong collection of patient biospecimens, annotated with clinical data. Biobanks globally are undertaking transformation of their operating models in response to changing research needs; transition from a ‘classic’ model representing a largely retrospective collection of pre-defined specimens to a more targeted, prospective collection model, although there remains a research need for both models to co-exist. Here we introduce the Health Science Alliance (HSA) Biobank, established in 2012 as a classic biobank, now transitioning to a hybrid operational model. Some of the past and current challenges encountered are discussed including clinical annotation, specimen utilisation and biobank sustainability, along with the measures the HSA Biobank is taking to address these challenges. We describe new directions being explored, going beyond traditional specimen collection into areas involving bioimages, microbiota and live cell culture. The HSA Biobank is working in collaboration with clinicians, pathologists and researchers, piloting a sustainable, robust platform with the potential to integrate future needs.

The Scale, Collections, and Biospecimen Distribution of Grade A Tertiary Hospital Biobanks in China: A National Survey

Chinese clinical biobanks were built rapidly in grade A tertiary hospitals. However, the general information of biorepositories in China remained largely unknown. The aim of this study was to investigate the size, collections, biospecimens distribution and other characteristics of Chinese biobanks in grade A tertiary hospitals. In 2018, we launched a national survey among biobank leaders to provide a comprehensive understanding of Chinese grade A tertiary hospital biobanks. A total of 70 biobank managers or directors completed an online questionnaire to collect information about the biorepositories. Nearly 20% of biobanks stored over one million specimens, while almost one-third of biobanks stored 50-200,000 specimens. In general, plasma and serum were the specimens most commonly stored. For the use of collections, biospecimens were most commonly applied by internal clinical departments. Further analyses revealed that the large-scale biobanks were characterized by earlier establishment, more types of specimens in storage and distribution compared with small-scale biobanks. Moreover, specimens in large-scale biobanks were more commonly used for basic research (62.86% vs. 34.29%, P = 0.017) and clinical research (57.14% vs. 28.57%, P = 0.016). Large-scale biobanks also had more opportunities to cooperate with domestic research institutes (34.29% vs. 5.71%, P = 0.003). Our survey revealed diversity in collections, distribution and utilization of biospecimens among Chinese grade A tertiary hospital biobanks. Although the biobanks had relatively large collections, the underutilization of stored biospecimens and lack of sharing could hamper clinical and biological research.

Biobanking for Cancer Biomarker Research: Issues and Solutions

Biomarkers are critical tools that underpin precision medicine. However there has been slow progress and frequent failure of biomarker development. The root causes are multifactorial. Here, we focus on the need for fast, efficient, and reliable access to quality biospecimens as a critical area that impacts biomarker development. We discuss the past history of biobanking and the evolution of biobanking processes relevant to the specific area of cancer biomarker development as an example, and describe some solutions that can improve this area, thus potentially accelerating biomarker research.

Ensuring Effective Utilization of Biospecimens: Design, Marketing, and Other Important Approaches

A number of studies have shown that underutilization of biospecimens from bioresources (biobanks and biorepositories) is a significant concern. In addition, biospecimen underutilization has been identified as an ethical as well as practical concern. The utilization of biospecimens is affected by many factors, including the establishment of a scientific need for the biospecimens, the design of the bioresource, strategic planning, biospecimen quality and fitness for purpose, informed consent considerations, access policies and procedures, and marketing. This article discusses the impact of these factors on biospecimen utilization and provides suggestions for how bioresources can optimize biospecimen utilization from their collections.

Biological, Medical, and Other Tissue Variables Affecting Biospecimen Utilization

Bioresources are critical resources that support biomedical research because of their ability to appropriately collect, process, store, and distribute a wide range of high-quality biospecimens that meet the needs of specific investigators. Of note, some biorepositories are concerned by their growing inventories and their low rates of tissue utilization. This review discusses the technical characteristics of biospecimens that can cause morphological and molecular variability and/or limit the usefulness of biospecimens in research. This article also describes current challenges related to biospecimen characteristics that may affect biospecimen utilization. These include inadequate awareness of investigators about the availability of biospecimens with specific morphologic and molecular features, donor variability, preanalytical variables, technical problems inherent with an investigator's request for biospecimens, limited tissue availability from a biorepository based on requested sizes and/or numbers of available biospecimens, effects of times of warm and cold ischemia, damage of tissues during surgery, and molecular changes during storage. To ensure maximal biospecimen utilization of all types of biospecimens requires continual education of investigators from diverse fields, particularly on factors that cause variability in the morphological and molecular characteristics of tissues. The investigators' requests for biospecimens and associated data should be reviewed carefully, including by a bioresource-associated pathologist. Queries arising from the request/application form should be resolved by bioresource personnel directly with the investigator.

The Importance of Human Tissue Bioresources in Advancing Biomedical Research

Medical research advances enabling the realization of precision medicine have relied heavily on the biospecimens provided by bioresources to identify the targets and biomarkers that are the focus of the new generation of more effective molecular-based therapies for specific subtypes of diseases. Through the biospecimens they have distributed, bioresources have permitted subtypes of cancers to be identified and molecular features of these subtypes to be effectively targeted. A prototype example is the human epidermal growth factor receptor type 2 (HER2), which currently is targeted in breast and gastric cancers. In the future, the use of biospecimens from bioresources will continue to increase the understanding of the molecular actions of drugs and how drugs may be more or less active in subpopulations of patients. Although the biospecimen inventories of the initial forms of bioresources may not have always been optimally planned and, therefore, utilized in supporting biomedical research, bioresources are evolving and overall, bioresource inventories and increasingly their prospective collection capabilities will continue to be a critical component of the research infrastructure.

Commentary on Improving Biospecimen Utilization by Classic Biobanks: Identifying Past and Minimizing Future Mistakes

Many classic biobanks collect more human tissues than they distribute, leading to increased inventories, unnecessary storage, increased expenses, and reduced chargeback income. This situation is a result of biobanks operating without well-defined goals, having incorrect views of the potential number of investigators who will utilize specimens, and collection of biospecimens without adequately considering the need for specific tissues by investigators. These deficiencies frequently lead to unrealistic plans for biospecimen utilization and biobanks that are larger than necessary. For example, tissue collections usually are not periodically compared with biospecimen distribution and modified accordingly. An ethical issue has arisen as to the acceptability of consenting patients for the use of their tissues in research without a realistic planned approach to distribution of the biospecimens and their ultimate utilization in supporting biomedical research. These issues and how to minimize them are discussed in this commentary focused on how classic biobanks can improve utilization of their biospecimens.