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Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
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Published on: November 30, 2022

A call to standardize preanalytic data elements for biospecimens.

James A Robb1, Margaret L Gulley, Patrick L Fitzgibbons

  • 1From the Department of Pathology, University of North Carolina, Chapel Hill (Dr Gulley); the Department of Pathology, St Jude Medical Center, Fullerton, California (Dr Fitzgibbons); the College of American Pathologists, Northfield, Illinois (Ms Kennedy); the Department of Translational Medicine, Biogen Idec, Cambridge, Massachusetts (Dr Cosentino); the Department of Pathology, Vanderbilt Medical Center, Nashville, Tennessee (Dr Washington); the Department of Pathology, Duke Medical Center, Durham, North Carolina (Dr Dash); the Biorepositories and Biospecimens Research Branch, National Cancer Institute, National Institutes of Health, Rockville, Maryland (Dr Branton); the Department of Biospecimen Science, Van Andel Institute, Grand Rapids, Michigan (Dr Jewell); and the Department of Pathology, Spartanburg Regional Medical Center, Spartanburg, South Carolina (Dr Lapham).

Archives of Pathology & Laboratory Medicine
|August 14, 2013
PubMed
Summary
This summary is machine-generated.

This study provides a ranked list of 170 essential clinical preanalytic variables for biospecimen annotation. This guide helps researchers and clinicians select critical data for patient care and research biorepositories.

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Area of Science:

  • Pathology
  • Biobanking
  • Health Informatics

Background:

  • High-quality biospecimens are crucial for patient care and research.
  • Clinical annotation (data) is essential for biospecimen quality.
  • Clinical preanalytic variables significantly impact biospecimen utility.

Purpose of the Study:

  • To define essential preanalytic variables for biospecimen annotation.
  • To create a comprehensive, ranked list of these variables.
  • To consider variations in importance based on downstream use, institutional needs, and IT capabilities.

Main Methods:

  • A Biorepository Working Group, sponsored by the College of American Pathologists, developed the ranked list.
  • Experts in pathology, biobanking, and informatics contributed.
  • Variables were identified, ranked, and supported by evidence, definitions, and impact assessments.
  • Stakeholder review included national and international experts.

Main Results:

  • A ranked list of 170 preanalytic variables was generated.
  • This list serves as a guide for implementing biospecimen annotation processes.
  • The list aids in selecting appropriate variables for specific biospecimen collections.

Conclusions:

  • Selecting the right preanalytic variables for biospecimens can be challenging.
  • The developed ranked list simplifies the selection process.
  • This resource supports consistent and high-quality biospecimen annotation for research and clinical use.