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.

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.

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

The term research "biobank" is one of multiple names (e.g., bioresource, biorepository,) used to designate an entity that receives, collects, processes, stores, and/or distributes biospecimens or other biospecimen-related products (e.g., data) to support research. There are multiple organizational models of biobanking used by bioresources, but the primary goal of all bioresources should not be simply to collect biospecimens, but ultimately to distribute almost all collected biospecimens and/or data to support scientific research; bioresources should serve as "biodistributors" rather than "biovaults." The appropriate choice of model is the first step in ensuring optimal biospecimen utilization by a bioresource. This article discusses some of the different models that may be used alone or in combination by a bioresource providing biospecimens for research; it describes the factors affecting the choice of the most appropriate model or models, the advantages and disadvantages of the various models, and a discussion of the impact of the choice of the model on biospecimen utilization. Frequently, problems with biospecimen utilization are not caused by any single model, but rather a mismatch between the choice of model and goals of the bioresource, and/or problems with the subsequent design, goals, operations, and management of the bioresource after a model is selected.

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.

Lessons Learned During Three Decades of Operations of Two Prospective Bioresources.

Prospective collection is a model through which biospecimens are provided for research. Using this model, biospecimens are collected based on real-time requests from the research community instead of being collected based on the prediction of future requests. We describe the lessons learned by two bioresources that have operated successfully using a prospective model for over three decades. Our goal is to improve other bioresources by increasing utilization of biospecimens that honor consented donors who provide biospecimens to the research community; this provides strong evidence of stewardship of the public trust. The operation of these sites requires flexibility, close communication, and cooperation with the investigator in developing a standard operating procedure (protocol) based on the investigator's needs described in their initial request. If practicable, almost any preparation can be provided, including fresh (nonfrozen) biospecimens and tissue blots. A quality management system includes rigorous quality control of the specific biospecimens provided to an investigator. The informatics approach focuses on the investigator, the investigator's request, and the biospecimens collected for the investigator; the informatics focus of classic biobanks is on the biospecimens collected to match expected future requests. These lessons have been incorporated into our current operations. Standard investigator agreements (e.g., indemnification and no unapproved biospecimen transfers to third parties) replace material transfer agreements. We have operated under the prospective model of the Cooperative Human Tissue Network (CHTN), which has been successful and has provided over 1.2 million biospecimens since it began in 1987. These tissues have supported over 4300 peer-reviewed scientific articles. Since 2012, about 1000 publications have indicated support by CHTN tissues; their average citation rate is 31 with an H factor of 61. Also, during this period, 114 patents cited the CHTN. We also describe disadvantages of prospective bioresources (e.g., inadequate distribution of rare tissues, biospecimens not immediately available, and delayed clinical outcomes).

Genomic regulation of invasion by STAT3 in triple negative breast cancer.

Breast cancer is a heterogeneous disease comprised of four molecular subtypes defined by whether the tumor-originating cells are luminal or basal epithelial cells. Breast cancers arising from the luminal mammary duct often express estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth receptor 2 (HER2). Tumors expressing ER and/or PR are treated with anti-hormonal therapies, while tumors overexpressing HER2 are targeted with monoclonal antibodies. Immunohistochemical detection of ER, PR, and HER2 receptors/proteins is a critical step in breast cancer diagnosis and guided treatment. Breast tumors that do not express these proteins are known as "triple negative breast cancer" (TNBC) and are typically basal-like. TNBCs are the most aggressive subtype, with the highest mortality rates and no targeted therapy, so there is a pressing need to identify important TNBC tumor regulators. The signal transducer and activator of transcription 3 (STAT3) transcription factor has been previously implicated as a constitutively active oncogene in TNBC. However, its direct regulatory gene targets and tumorigenic properties have not been well characterized. By integrating RNA-seq and ChIP-seq data from 2 TNBC tumors and 5 cell lines, we discovered novel gene signatures directly regulated by STAT3 that were enriched for processes involving inflammation, immunity, and invasion in TNBC. Functional analysis revealed that STAT3 has a key role regulating invasion and metastasis, a characteristic often associated with TNBC. Our findings suggest therapies targeting STAT3 may be important for preventing TNBC metastasis.

Effects of Cold Ischemia on Gene Expression: A Review and Commentary.

Frequently investigators request that tissues be collected and processed in less than one hour following removal from a patient. Some biorepositories expend significant personnel time and other resources in trying to meet such goals; however, it is unclear whether the perceived benefits of relatively short cold ischemia times warrant these added costs. The literature of human surgical tissues prospectively exposed to cold ischemia at several time points was reviewed to compare the changes in transcripts/genes and microRNA with time of cold ischemia. Also, reports of protein changes in response to cold ischemia were correlated to changes in genes. The literature is limited; however, for most tissues, only a small proportion of transcripts/genes (<1%) changes up to 3 hours following surgery and most transcripts increase rather than decrease in less than 2 hours of cold ischemia. Biorepositories and investigators must consider the literature for evidence of significant changes in molecular results from tissues before spending significant resources on relatively rapid collection of tissues to meet cold ischemia times of less than 3 hours. Instead, those using human tissues in research must consider if the cold ischemia times affect their use in specific research; hence are these tissues "fit for purpose?"

RNA sequencing of pancreatic adenocarcinoma tumors yields novel expression patterns associated with long-term survival and reveals a role for ANGPTL4.

BACKGROUND: Pancreatic adenocarcinoma patients have low survival rates due to late-stage diagnosis and high rates of cancer recurrence even after surgical resection. It is important to understand the molecular characteristics associated with survival differences in pancreatic adenocarcinoma tumors that may inform patient care. RESULTS: RNA sequencing was performed for 51 patient tumor tissues extracted from patients undergoing surgical resection, and expression was associated with overall survival time from diagnosis. Our analysis uncovered 323 transcripts whose expression correlates with survival time in our pancreatic patient cohort. This genomic signature was validated in an independent RNA-seq dataset of 68 additional patients from the International Cancer Genome Consortium. We demonstrate that this transcriptional profile is largely independent of markers of cellular division and present a 19-transcript predictive model built from a subset of the 323 transcripts that can distinguish patients with differing survival times across both the training and validation patient cohorts. We present evidence that a subset of the survival-associated transcripts is associated with resistance to gemcitabine treatment in vitro, and reveal that reduced expression of one of the survival-associated transcripts, Angiopoietin-like 4, impairs growth of a gemcitabine-resistant pancreatic cancer cell line. CONCLUSIONS: Gene expression patterns in pancreatic adenocarcinoma tumors can distinguish patients with differing survival outcomes after undergoing surgical resection, and the survival difference could be associated with the intrinsic gemcitabine sensitivity of primary patient tumors. Thus, these transcriptional differences may impact patient care by distinguishing patients who would benefit from a non-gemcitabine based therapy.

Factors Affecting the Use of Human Tissues in Biomedical Research: Implications in the Design and Operation of a Biorepository.

The availability of high-quality human tissues is necessary to advance medical research. Although there are inherent and induced limitations on the use of human tissues in research, biorepositories play critical roles in minimizing the effects of such limitations. Specifically, the optimal utilization of tissues in research requires tissues to be diagnosed accurately, and the actual specimens provided to investigators must be carefully described (i.e., there must be quality control of each aliquot of the tissue provided for research, including a description of any damage to tissues). Tissues also should be collected, processed, stored, and distributed (i.e., handled) uniformly under a rigorous quality management system (QMS). Frequently, tissues are distributed to investigators by tissue banks which have collected, processed, and stored them by standard operating procedures (SOPs). Alternatively, tissues for research may be handled via SOPs that are modified to the specific requirements of investigators (i.e., using a prospective biorepository model). The primary goal of any type of biorepository should be to ensure its specimens are of high quality and are utilized appropriately in research; however, approaches may vary based on the tissues available and requested. For example, extraction of specific molecules (e.g., microRNA) to study molecular characteristics of a tissue may require less clinical annotation than tissues that are utilized to identify how the molecular expression might be used to clarify a clinical outcome of a disease or the response to a specific therapy. This review focuses on the limitations of the use of tissues in research and how the design and operations of a tissue biorepository can minimize some of these limitations.

Quality management of biorepositories.

Biomedical investigators require high quality human tissue to support their research; thus, an important aspect of the provision of tissues by biorepositories is the assurance of high quality and consistency of processing specimens. This is best accomplished by a quality management system (QMS). This article describes the basis of a QMS program designed to aid biorepositories that want to improve their operations. In 1983, the UAB Tissue Collection and Biobanking Facility (TCBF) introduced a QMS program focused on providing solid tissues to support a wide range of research; this QMS included a quality control examination of the specific specimens provided for research. Similarly, the Division of Laboratory Sciences at the Centers for Disease Control and Prevention (CDC) introduced a QMS program for their laboratory analyses, focused primarily on bodily fluids. The authors of this article bring together the experience of the QMS programs at these two sites to facilitate the development or improvement of quality management systems of a wide range of biorepositories.

Issues in collecting, processing and storing human tissues and associated information to support biomedical research.

The availability of human tissues to support biomedical research is critical to advance translational research focused on identifying and characterizing approaches to individualized (personalized) medical care. Providing such tissues relies on three acceptable models - a tissue banking model, a prospective collection model and a combination of these two models. An unacceptable model is the "catch as catch can" model in which tissues are collected, processed and stored without goals or a plan or without standard operating procedures, i.e., portions of tissues are collected as available and processed and stored when time permits. In the tissue banking model, aliquots of tissues are collected according to SOPs. Usually specific sizes and types of tissues are collected and processed (e.g., 0.1 gm of breast cancer frozen in OCT). Using the banking model, tissues may be collected that may not be used and/or do not meet specific needs of investigators; however, at the time of an investigator request, tissues are readily available as is clinical information including clinical outcomes. In the model of prospective collection, tissues are collected based upon investigator requests including specific requirements of investigators. For example, the investigator may request that two 0.15 gm matching aliquots of breast cancer be minced while fresh, put in RPMI media with and without fetal calf serum, cooled to 4°C and shipped to the investigator on wet ice. Thus, the tissues collected prospectively meet investigator needs, all collected specimens are utilized and storage of specimens is minimized; however, investigators must wait until specimens are collected, and if needed, for clinical outcome. The operation of any tissue repository requires well trained and dedicated personnel. A quality assurance program is required which provides quality control information on the diagnosis of a specimen that is matched specifically to the specimen provided to an investigator instead of an overall diagnosis of the specimen via a surgical pathology report. This is necessary because a specific specimen may not match the diagnosis of the case due to many factors such as necrosis, unsuspected tumor invasion of apparently normal tissue, and areas of fibrosis which are mistaken grossly for tumor. Aliquots for quality control (QC) may or may not be collected at the time of collection and in some cases, QC may not occur until specimens are distributed to investigators. In establishing a tumor repository, multiple issues need to be considered. These include the available resources, long term support, space and equipment. The needs of the potential users need to be identified as to the types of tissues and services needed and the annotation expected. Other specific issues to be considered include collection of specimens potentially infected with blood borne pathogens (e.g., hepatitis B), charge back mechanisms, informatics needs and support, and investigator requirements (e.g., recognition of repository contributions in publications). In general, the repository should not perform the research of the investigators, but should provide the infrastructure necessary to support the research of the investigator. Thus, the goals of the repository must be established. Similarly, ethical and regulatory issues must be evaluated. In general, tissue repositories need ethical (e.g., IRB) and privacy (e.g., HIPAA) review. Also, safety issues need to be considered as well as how biohazards will be addressed by investigator-users. Considerations involving the transfer of specimens to other organization usually require a material transfer agreement (MTA). A MTA should address biohazards as well as indemnification. Thus, many issues must be considered and addressed in order to establish and operate successfully a biorepository.

Organizational issues in providing high-quality human tissues and clinical information for the support of biomedical research.

Superior-quality human tissues are required to support many types of biomedical research. To be useful optimally in supporting research, not only must these tissues be accurately diagnosed, but also the specific aliquots of tissue supplied to investigators must be accurately described as part of the quality control analysis of the tissue. Tissues should be collected, processed, and stored uniformly. Some tissues are provided to investigators from tissue banks for which tissues have been collected and processed according to standard operating procedures (SOPs) of the tissue bank. Other tissues provided to support research are collected and processed according to SOPs modified to meet investigator needs and requirements, i.e., prospective collection/processing. These different models of tissue collection require different goals, designs, and SOPs. The objectives of tissue repositories also vary based on the types of tissues provided (e.g., fresh tissue aliquots, fixed paraffin-embedded tissue, paraffin tissue sections, etc.) and how the tissues are to be used in research. For example, the potential use of tissues affects the need for extensive annotation of the specimen including both clinical information (e.g., clinical outcomes) and demographics. Specifically, if the tissues are to be used for extraction of proteins or basic studies of disease processes, less clinical information, if any, may be needed than if the tissues are to be used for the correlation of an aspect of the disease process with clinical outcome or response to a specific therapy. In this review, we describe, based on our experience, the major issues that should be addressed in designing and establishing a tissue repository.

How to efficiently obtain human tissues to support specific biomedical research projects.

The purpose of this article is to facilitate access of biomedical researchers to human tissues by describing the types of tissue resources available to researchers, common problems with tissue requests that may limit tissue availability to specific investigators, and steps that can be taken to simplify requests to avoid these problems and enhance access to tissue. Types of human tissue resources available to investigators are described and reviewed, and the experience of the University of Alabama Tissue Collection and Banking Facility (TCBF) is described. Our experience indicates that typical problems with requests for tissue fall into the following categories: (1) size and number of specimens, (2) type (rarity and availability), (3) time constraints, (4) demand versus supply, (5) limitations and goals of the resource, and (6) time and resources that can be devoted to a specific request. Investigators should review their requests for human tissues to support their research if they are not receiving adequate quantities of tissue. This review is best accomplished by discussing their requests with the tissue resource and correcting specific limitations that block access to the tissues they need.

Quality Assurance in Tissue Resources Supporting Biomedical Research.

Modern biomedical research requires access to high quality specimens of human tissue with or without extensive clinical annotation. Multiple types of organizations have developed to supply human tissues to support biomedical research. These organizations follow different models including the specific models of 1) prospective collection, 2) tissue banking, and 3) tissue collection associated with clinical trials as well as the model of 4) a tissue resource that incorporates features of the other models. These types of organizations devoted to supplying tissues for research have chosen different goals to meet the different tissue and informational needs of the investigators to whom they supply tissue. In order to provide high quality tissues to support research, all models should rely on a strong quality assurance program with extensive quality control of the tissues being provided to support research. In addition to facilities which collect, process, store and provide tissues, the need for a rigorous QA program applies to all resources and infrastructures used to support biomedical research. The UAB Tissue Collection and Banking Facility which provides human tissue to support biomedical research has been functioning and developing since 1979. To our knowledge, similar programs in providing tissues from animals are less developed, but could easily follow the models which UAB and other institutions providing human tissues have established, including the approaches of UAB and others to QA and QC. This manuscript reviews the current concepts of QA and QC in use in organizations supplying tissue to support biomedical research as well as new approaches in QA and QC that have been proposed.

The efficacy of 9-cis-retinoic acid (aliretinoin) as a chemopreventive agent for cervical dysplasia: results of a randomized double-blind clinical trial.

9-Cis-retinoic acid (aliretinoin) is a pan-retinoid receptor agonist and has been demonstrated in preclinical models to have potent chemoprevention effects. The purpose of this study was to determine the utility of using aliretinoin as a chemoprevention agent in cervical dysplasia. Patients with histological evidence of cervical intraepithelial neoplasia (CIN) 2/3 were randomized in a double-blind manner to receive high-dose aliretinoin (50 mg), low-dose of aliretinoin (25 mg), or placebo daily for 12 weeks. Compliance and side effects were monitored at various time points during therapy. At the completion of therapy, all of the patients underwent a loop procedure. Histology of pretreatment biopsies was compared with that of loop specimens. One-hundred and fourteen patients with CIN 2/3 were enrolled in the study. In the 112 patients evaluable for toxicity, headache was the most common clinical side effect and was experienced more frequently (74%) in the high-dose aliretinoin group. Eight patients withdrew from the study before completion of study medication because of unacceptable side effects. In the 104 patients evaluable for efficacy, there was no statistical difference in the rate of regression among the placebo (32%), the low-dose aliretinoin (32%), and the high-dose aliretinoin (36%) groups. (P = not significant; power 0.06). Aliretinoin at these dosages and this schedule does not appear to result in significant regression rates in CIN 2/3 patients when compared with placebo. Headache is encountered frequently and may thwart efforts to increase the dose or duration of aliretinoin in future cervical cancer chemoprevention studies. The rate of histological regression in biopsied CIN 2/3 patients is high even over a short time interval, and emphasizes the importance of having a placebo arm and an adequate sample size in cervical dysplasia chemoprevention studies.