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National Cancer Institute Biospecimen Evidence-Based Practices: a novel approach to pre-analytical standardization.

ABSTRACT: Variable biospecimen collection, processing, and storage practices may introduce variability in biospecimen quality and analytical results. This risk can be minimized within a facility through the use of standardized procedures; however, analysis of biospecimens from different facilities may be confounded by differences in procedures and inferred biospecimen quality. Thus, a global approach to standardization of biospecimen handling procedures and their validation is needed. Here we present the first in a series of procedural guidelines that were developed and annotated with published findings in the field of human biospecimen science. The series of documents will be known as NCI Biospecimen Evidence-Based Practices, or BEBPs. Pertinent literature was identified via the National Cancer Institute (NCI) Biospecimen Research Database ( brd.nci.nih.gov ) and findings were organized by specific biospecimen pre-analytical factors and analytes of interest (DNA, RNA, protein, morphology). Meta-analysis results were presented as annotated summaries, which highlight concordant and discordant findings and the threshold and magnitude of effects when applicable. The detailed and adaptable format of the document is intended to support the development and execution of evidence-based standard operating procedures (SOPs) for human biospecimen collection, processing, and storage operations.

SUBMITTER: Engel KB

PROVIDER: S-EPMC3995433 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature

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National Cancer Institute Biospecimen Evidence-Based Practices: a novel approach to pre-analytical standardization.

Engel Kelly B KB Vaught Jim J Moore Helen M HM

Biopreservation and biobanking 20140401 2

Variable biospecimen collection, processing, and storage practices may introduce variability in biospecimen quality and analytical results. This risk can be minimized within a facility through the use of standardized procedures; however, analysis of biospecimens from different facilities may be confounded by differences in procedures and inferred biospecimen quality. Thus, a global approach to standardization of biospecimen handling procedures and their validation is needed. Here we present the ...[more]

PMID: 24749882

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Project description:The Biospecimen Pre-analytical Variables (BPV) Program is a National Cancer Institute-sponsored study to systematically assess the effects of pre-analytical factors on the molecular profile of biospecimens. A robust biospecimen collection infrastructure was established to prospectively collect biospecimens using rigorous standard operating procedures to control for most variables while introducing experimental conditions to study specific biospecimen handling issues, including the cold ischemic time (delay to formalin fixation), time in formalin, freezing methods, and storage temperatures and durations. RNA and DNA from biospecimens collected under these conditions was analyzed on multiple molecular platforms. The potential effects of these pre-analytical conditions on protein integrity and detection of metabolites were also examined. Data from this study will be used to develop evidence-based biospecimen standard operating procedures and best practices for fit-for-purpose collection, processing, and storage of biospecimens. The BPV Cohort is utilized in the following dbGaP substudies. To view genotypes, analysis, expression data, other molecular data, and derived variables collected in these substudies, please click on the following sub-studies below or in the "Substudies" box located on the right hand side of this top-level study page phs001304 BPV Cohort. The substudy links will be active once they are released by dbGaP. <ol> <li>Preanalytical Impacts on Global Metabolite Profiling - plasma (MassSpec by Metabolon) This study was to evaluate the impact of the storage temperature (s) (-80°C and LN2 vapor) and the length of storage on human plasma quality using LC-MS/MS (liquid-chromatography-mass spectrometry/mass spectrometry) based global metabolite profiling. The study includes 240 plasma samples collected from 40 donors.</li> <li>Investigate the effect of the delay to fixation on the proteome and phosphoproteome -FFPE (MassSpec by Caprion). The study is to do proteome and phosphoproteome analysis on Delay to fixation was carried out using FFPE tumor samples from colon and ovarian cancer patients comparing 2, 3, and 12hr delay to fixation to the 1hr time point. The study includes 100 samples 20 donors.</li> <li>Investigate the effect of storage conditions of tumor specimens on the proteome and phosphoproteome profiling- Frozen tissue and plasma (MassSpec by Caprion). The study was to evaluate the effects of storage conditions on tumor specimens. Plasma samples from 40 cancer patients stored at two different temperatures (-80°C and LN2) for a given period (0-2, 6-8, and 12-14 months) were evaluated. Frozen kidney tumor samples from 20 patients were compared for effects of different snap frozen (dry ice vs. LN2) and storage temperatures (-80°C and LN2). The study includes 100 tissue and 240 plasma samples from 60 donors.</li> <li>Preanalytical Impacts on Genomic Sequencing by Next Generation Sequencing (NGS) technology (mRNA/miRNA and WES by Expression Analysis). The goal of the study is to determine the effects of cold ischemic delay-to-fixation (4 time points) and formalin preservation (FFPE) on the nature and quality of genomic profiles using the matched freshly frozen sample as the gold standard, which including WES, RNAseq. The study includes 395 samples from 37 donors.</li> <li>Preanalytical Impacts on Copy Number Variation (CNV) Detection by aCGH technology (aCGH by Georgetown University). This study was to use aCGH to evaluate the effect of variation in cold ischemia time and time in formalin fixation on CNV in DNA extracted from kidney cancer specimens. The study includes 235 samples from 40 donors.</li> <li>Evaluation of frozen conditions on mRNA profiling by TaqMan assay (mRNA expression by Georgetown University). This study was to utilize gene expression profiling, using custom TaqMan arrays, to compare the molecular profiles of RNA from frozen tumor samples collected using two freezing methods (dry ice or LN2), two storage temperatures (-80°C or LN2 vapor), as well as Optimal Cutting Temperature (OCT) compound and non-OCT embedded. The study includes 100 samples from 20 donors.</li> <li>mRNA signature for stratification by cold ischemia time (mRNA expression by IBBL). The study was to determine the effects of cold ischemic time (delay-to-fixation) and formalin preservation (FFPE) on mRNA detection by Taqman assay using tumor tissue specimens from kidney, colon and ovarian cancer patients. There are160 samples from 40 donors.</li> </ol> The Biospecimen PV cohort is utilized in the following dbGaP individual studies. To view molecular data, and derived variables collected in these individual studies, please click on the following individual studies below or in the "Sub-studies" box located on the right hand side of this top-level study page <a href="study.cgi?study_id=phs001304">phs001304</a> Biospecimen PV cohort. <ul> <li><a href="study.cgi?study_id=phs001634">phs001634</a> CIT mRNA</li> <li><a href="study.cgi?study_id=phs001635">phs001635</a> CNV aCGH</li> <li><a href="study.cgi?study_id=phs001636">phs001636</a> Fixation Delay</li> <li><a href="study.cgi?study_id=phs001637">phs001637</a> Global Metabolite Profiling</li> <li><a href="study.cgi?study_id=phs001638">phs001638</a> mRNA TaqMan</li> <li><a href="study.cgi?study_id=phs001639">phs001639</a> NGS</li> <li><a href="study.cgi?study_id=phs001640">phs001640</a> Tumor Storage</li> </ul>

Project description:BACKGROUND:In neuroscience clinical research studies, much time and effort are devoted to deciding what data to collect and developing data collection forms and data management systems to capture the data. Many investigators receiving funding from National Institute of Neurological Disorders and Stroke (NINDS), the National Institutes of Health (NIH), are required to share their data once their studies are complete, but the multitude of data definitions and formats make it extremely difficult to aggregate data or perform meta-analyses across studies. PURPOSE:In an effort to assist investigators and accelerate data sharing in neuroscience clinical research, the NINDS has embarked upon the Common Data Element (CDE) Project. The data standards developed through the NINDS CDE Project enable clinical investigators to systematically collect data and should facilitate study start-up and data aggregation across the research community. METHODS:The NINDS CDE Team has taken a systematic, iterative approach to develop the critical core and the disease-specific CDEs. The CDE development process provides a mechanism for community involvement and buy-in, offers a structure for decision making, and includes a technical support team. RESULTS:Upon conclusion of the development process, the CDEs and accompanying tools are available on the Project Web site - http://www.commondataelements.ninds.nih.gov/. The Web site currently includes the critical core (aka general) CDEs that are applicable to all clinical research studies regardless of therapeutic area as well as several disease-specific CDEs. Additional disease-specific CDEs will be added to the Web site once they are developed and vetted over the next 12 months. LIMITATIONS:The CDEs will continue to evolve and will improve only if clinical researchers use and offer feedback about their experience with them. Thus, the NINDS program staff strongly encourages its clinical research grantees to use the CDEs and is expanding its efforts to educate the neuroscience research community about the CDEs and to train research teams to incorporate them into their studies. CONCLUSIONS:Version 1.0 of a set of CDEs has been published, but publication is not the end of the development process. All CDEs will be evaluated and revised at least annually to ensure that they reflect current clinical research practices in neuroscience.

Dataset Information

National Cancer Institute Biospecimen Evidence-Based Practices: a novel approach to pre-analytical standardization.

Publications

National Cancer Institute Biospecimen Evidence-Based Practices: a novel approach to pre-analytical standardization.

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