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Präanalytik und Biobanking

Einfluss präanalytischer Faktoren auf die Gewebeprobenqualität

Preanalytics and biobanking

Influence of preanalytical factors on tissue sample quality

  • Schwerpunkt: Pathologie und Forschungsbiobanken
  • Published:
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Zusammenfassung

Der Zugang zu gut charakterisierten menschlichen Bioproben ist eine der wichtigsten Voraussetzungen für die moderne biomedizinische Forschung. Biobanken spielen hier eine entscheidende Rolle, da sie entsprechende Bioproben für geplante Analysen zur Verfügung stellen. Hierfür müssen viele Störfaktoren, die die Qualität von Bioproben beeinflussen, beachtet werden. Neben logistischen, ethischen und datenschutzrechtlichen Aspekten sind hier v. a. präanalytische Variablen im Rahmen der Probengewinnung, Verarbeitung und Lagerung zu nennen. Im vorliegenden Paper werden daher die wichtigsten präanalytischen Einflussfaktoren systematisch dargestellt. Außerdem geben wir einen Überblick über aktuelle nationale und internationale Aktivitäten zur standardisierten Erfassung der präanalytischen Variablen, um deren Einfluss auf das Analyseergebnis besser zu verstehen und in Zukunft zu minimieren.

Abstract

Access to well-characterized human biosamples is one of the most important prerequisites for modern biomedical research. Biobanks play a decisive role here, as they provide corresponding biosamples for planned analyses. Many interfering factors influencing the quality of biosamples have to be taken into account. In addition to logistical, ethical, and data protection aspects, preanalytical variables in the context of sample acquisition, storage, and processing should be mentioned in particular. In this paper, therefore, the most important preanalytical influencing factors are presented systematically and an overview of current national and international activities for the standardized recording of these factors is provided with the goal of being able to better understand their influence on results and to minimize them in the near future.

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Literatur

  1. Asslaber M, Abuja PM, Stark K et al (2007) The Genome Austria Tissue Bank (GATiB). Pathobiology 74(4):251–258

    Article  PubMed  CAS  Google Scholar 

  2. Betsou F, Lehmann S, Ashton G et al (2010) Standard preanalytical coding for biospecimens: defining the sample PREanalytical code. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive. Oncology 19(4):1004–1011

    CAS  Google Scholar 

  3. Bevilacqua G, Bosman F, Dassesse T et al (2010) The role of the pathologist in tissue banking: European Consensus Expert Group Report. Virchows Arch 456(4):449–454

    Article  PubMed  PubMed Central  Google Scholar 

  4. Boellner S, Becker KF (2015) Recent progress in protein profiling of clinical tissues for next-generation molecular diagnostics. Expert Rev Mol Diagn 15(10):1277–1292

    Article  PubMed  CAS  Google Scholar 

  5. Caixeiro NJ, Lai K, Lee CS (2016) Quality assessment and preservation of RNA from biobank tissue specimens: a systematic review. J Clin Pathol 69(3):260–265

    Article  PubMed  CAS  Google Scholar 

  6. Carraro P, Plebani M (2007) Errors in a stat laboratory: types and frequencies 10 years later. Clin Chem 53(7):1338–1342

    Article  PubMed  CAS  Google Scholar 

  7. Ellervik C, Vaught J (2015) Preanalytical variables affecting the integrity of human biospecimens in biobanking. Clin Chem 61(7):914–934

    Article  PubMed  CAS  Google Scholar 

  8. Espina V, Edmiston KH, Heiby M et al (2008) A portrait of tissue phosphoprotein stability in the clinical tissue procurement process. Mol Cell Proteomics 7(10):1998–2018

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  9. Ferguson RE, Hochstrasser DF, Banks RE (2007) Impact of preanalytical variables on the analysis of biological fluids in proteomic studies. Proteomics Clin Appl 1(8):739–746

    Article  PubMed  CAS  Google Scholar 

  10. Gaskins AJ, Wilchesky M, Mumford SL et al (2012) Endogenous reproductive hormones and C‑reactive protein across the menstrual cycle: the BioCycle Study. Am J Epidemiol 175(5):423–431

    Article  PubMed  PubMed Central  Google Scholar 

  11. Gnanapragasam VJ (2010) Unlocking the molecular archive: the emerging use of formalin-fixed paraffin-embedded tissue for biomarker research in urological cancer. BJU Int 105(2):274–278

    Article  PubMed  Google Scholar 

  12. Goswami RS, Luthra R, Singh RR et al (2016) Identification of factors affecting the success of next-generation sequencing testing in solid tumors. Am J Clin Pathol 145(2):222–237

    Article  PubMed  Google Scholar 

  13. Gundisch S, Hauck S, Sarioglu H et al (2012) Variability of protein and phosphoprotein levels in clinical tissue specimens during the preanalytical phase. J Proteome Res 11(12):5748–5762

    Article  PubMed  CAS  Google Scholar 

  14. Herpel E, Koleganova N, Schirmacher P (2008) Tissue bank of the National Centre for Tumour Disease. An innovative platform for translational tumour. Pathologe 29(Suppl 2):204–209

    Article  PubMed  Google Scholar 

  15. Herpel E, Schmitt S, Kiehntopf M (2016) Quality of biomaterials in liquid- and tissue-biobanking. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 59(3):325–335

    Article  PubMed  Google Scholar 

  16. Kiehntopf M, Krawczak M (2011) Biobanking and international interoperability: samples. Hum Genet 130(3):369–376

    Article  PubMed  CAS  Google Scholar 

  17. Kokkat TJ, McGarvey D, Patel MS et al (2013) Protein extraction from methanol fixed paraffin embedded tissue blocks: a new possibility using cell blocks. Cytojournal 10:23

    Article  PubMed  PubMed Central  Google Scholar 

  18. Kokkat TJ, Patel MS, McGarvey D et al (2013) Archived formalin-fixed paraffin-embedded (FFPE) blocks: a valuable underexploited resource for extraction of DNA, RNA, and protein. Biopreserv Biobank 11(2):101–106

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Livesey JH, Ellis MJ, Evans MJ (2008) Pre-analytical requirements. Clin Biochem Rev 29(Suppl 1):S11–S15

    PubMed  PubMed Central  Google Scholar 

  20. Kynast LK, Volk N, Fleming T et al (2017) Diabetes-associated biobanking: more topical than ever? Exp Clin Endocrinol Diabetes 125(9):603–609

    Article  CAS  Google Scholar 

  21. Meric-Bernstam F, Akcakanat A, Chen H et al (2014) Influence of biospecimen variables on proteomic biomarkers in breast cancer. Clin Cancer Res 20(14):3870–3883

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  22. Morrin H, Gunningham S, Currie M et al (2005) The christchurch tissue bank to support cancer research. N Z Med J 118(1225):U1735

    PubMed  Google Scholar 

  23. Nanni U, Betsou F, Riondino S et al (2012) SPRECware: software tools for Standard PREanalytical Code (SPREC) labeling – effective exchange and search of stored biospecimens. Int J Biol Markers 27(3):e272–279

    Article  PubMed  CAS  Google Scholar 

  24. Ollier W, Sprosen T, Peakman T (2005) UK Biobank: from concept to reality. Pharmacogenomics 6(6):639–646

    Article  PubMed  Google Scholar 

  25. Plebani M, Carraro P (1997) Mistakes in a stat laboratory: types and frequency. Clin Chem 43(8 Pt 1):1348–1351

    PubMed  CAS  Google Scholar 

  26. Riegman PH, de Jong B, Daidone MG et al (2015) Optimizing sharing of hospital biobank samples. Sci Transl Med 7(297):297–s231

    Article  Google Scholar 

  27. Riegman PH, Morente MM, Betsou F et al (2008) Biobanking for better healthcare. Mol Oncol 2(3):213–222

    Article  PubMed  PubMed Central  Google Scholar 

  28. Schrohl AS, Wurtz S, Kohn E et al (2008) Banking of biological fluids for studies of disease-associated protein biomarkers. Mol Cell Proteomics 7(10):2061–2066

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  29. Wander K, Brindle E, O’Connor KA (2008) C‑reactive protein across the menstrual cycle. Am J Phys Anthropol 136(2):138–146

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. Gewebebank des Klinikums rechts der Isar und der Fakultät für Medizin der TU München, Technische Universität München, München, Deutschland

    K.-F. Becker

  2. Zentralisierte Biomaterialbank der medizinischen Fakultät der RWTH Aachen Universität, Aachen, Deutschland

    J. Wipperfürth

  3. Gewebebank des NCT am Pathologischen Institut, Universitätsklinikum Heidelberg, Heidelberg, Deutschland

    E. Herpel

  4. Abt. Allgemeine Pathologie und pathologische Anatomie, Institut für Pathologie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 224, 69120, Heidelberg, Deutschland

    E. Herpel

Authors
  1. K.-F. Becker
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  2. J. Wipperfürth
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  3. E. Herpel
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Correspondence to E. Herpel.

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Interessenkonflikt

K.-F. Becker, J. Wipperfürth und E. Herpel geben an, dass kein Interessenkonflikt besteht.

Dieser Beitrag beinhaltet keine von den Autoren durchgeführten Studien an Menschen oder Tieren.

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Schwerpunktherausgeber

E. Dahl, Aachen

P. Schirmacher, Heidelberg

R. Knüchel-Clarke, Aachen

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Becker, KF., Wipperfürth, J. & Herpel, E. Präanalytik und Biobanking. Pathologe 39, 297–302 (2018). https://doi.org/10.1007/s00292-018-0437-7

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  • DOI: https://doi.org/10.1007/s00292-018-0437-7

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