Literature DB >> 8891442

Interlaboratory variability in fluorescence in situ hybridization analysis. The NCI Bladder Tumor Marker Network.

D H Moore1, L Epstein, J Reeder, L Wheeless, F M Waldman.   

Abstract

Reliable interpretation of fluorescence in situ hybridization (FISH) data, especially data that have been generated in more than one laboratory, requires knowledge of the sources of variability inherent in FISH analysis. Possible sources of variation may derive from differences in sample preparation, probes used, intrasample heterogeneity, hybridization protocols, counting criteria within and between scorers, fluorescence microscopes, and filters. This study characterized the relative weight of some of these factors in order to determine the degree to which FISH results are comparable between laboratories. We used a hierarchical partitioned chi 2 analysis to measure sources of variation. We found that replicate counts varied no more than expected based on counting statistics (i.e., multinomial variation). However, with replicate hybridizations done in two separate laboratories, the variability increased significantly. Thus, care must be taken when interpreting FISH data that are derived from more than one institution. Previously agreed upon counting criteria as well as standardized FISH hybridization protocols may decrease this variability.

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Mesh:

Year:  1996        PMID: 8891442     DOI: 10.1002/cyto.990250202

Source DB:  PubMed          Journal:  Cytometry        ISSN: 0196-4763


  4 in total

1.  Clinical decisions for treatment of different staged bladder cancer based on multitarget fluorescence in situ hybridization assays?

Authors:  F Steffen Krause; Anita Rauch; Karl M Schrott; Dirk G Engehausen
Journal:  World J Urol       Date:  2006-05-11       Impact factor: 4.226

2.  Semi-automated scoring of triple-probe FISH in human sperm: methods and further validation.

Authors:  Melissa J Perry; Xing Chen; Megan E McAuliffe; Arnab Maity; Glen M Deloid
Journal:  Cytometry A       Date:  2011-05-12       Impact factor: 4.355

3.  Is FISH painting an appropriate biological marker for dose estimates of suspected accidental radiation overexposure? A review of cases investigated in France from 1995 to 1996.

Authors:  I Sorokine-Durm; V Durand; A Le Roy; N Paillole; L Roy; P Voisin
Journal:  Environ Health Perspect       Date:  1997-12       Impact factor: 9.031

4.  CNV Radar: an improved method for somatic copy number alteration characterization in oncology.

Authors:  David Soong; Jeran Stratford; Herve Avet-Loiseau; Nizar Bahlis; Faith Davies; Angela Dispenzieri; A Kate Sasser; Jordan M Schecter; Ming Qi; Chad Brown; Wendell Jones; Jonathan J Keats; Daniel Auclair; Christopher Chiu; Jason Powers; Michael Schaffer
Journal:  BMC Bioinformatics       Date:  2020-03-06       Impact factor: 3.169

  4 in total

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