Literature DB >> 19939766

[Preanalytical guidelines for clinical proteomics investigation of biological fluids].

S Lehmann1, S Roche, Y Allory, A Barthelaix, J-L Beaudeux, F Berger, F Betsou, J Borg, A Dupuy, J Garin, M Quillard, G Lizard, K Peoc'h, M Riviere, P Ducoroy.   

Abstract

Research of new diagnosis or prognosis biomarkers is a major challenge for the management of patients with complex pathologies like cancer. Clinical proteomics is one of the recent approaches to identify these biomarkers in biological fluids. Over the last five years, many problems related to the variability and the quality control of these analyses have been observed. This was notably related to the different preanalytical status of each sample. A strong need for standardization of the critical preanalytical phases (collection, transport, processing, storage...) has been therefore recognized. With this goal in mind, working groups of the "Institut national du cancer" (INCa) and the "Société française de biologie clinique" (SFBC) proposed here preanalytical proteomics guidelines for the most common biological fluids: plasma, serum, urine and cerebrospinal fluid. To goal is to provide the basis for the harmonization of the procedures in clinical laboratories and biobanks to allow an optimal use of biological collections.

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Year:  2009        PMID: 19939766     DOI: 10.1684/abc.2009.0374

Source DB:  PubMed          Journal:  Ann Biol Clin (Paris)        ISSN: 0003-3898            Impact factor:   0.459


  3 in total

1.  Plasma miR-34a-5p and miR-545-3p as Early Biomarkers of Alzheimer's Disease: Potential and Limitations.

Authors:  Marta Cosín-Tomás; Anna Antonell; Albert Lladó; Daniel Alcolea; Juan Fortea; Mario Ezquerra; Albert Lleó; Maria José Martí; Mercè Pallàs; Raquel Sanchez-Valle; José Luís Molinuevo; Coral Sanfeliu; Perla Kaliman
Journal:  Mol Neurobiol       Date:  2016-09-08       Impact factor: 5.590

Review 2.  Biomarker analysis of stored blood products: emphasis on pre-analytical issues.

Authors:  Julien Delobel; Olivier Rubin; Michel Prudent; David Crettaz; Jean-Daniel Tissot; Niels Lion
Journal:  Int J Mol Sci       Date:  2010-11-17       Impact factor: 5.923

3.  Understanding the impact of pre-analytic variation in haematological and clinical chemistry analytes on the power of association studies.

Authors:  Amadou Gaye; Tim Peakman; Martin D Tobin; Paul R Burton
Journal:  Int J Epidemiol       Date:  2014-08-01       Impact factor: 7.196

  3 in total

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