title: Use of diagnostic accuracy as a metric for evaluating laboratory proficiency with microarray assays using mixed-tissue RNA reference samples.
abstract: Effective use of microarray technology in clinical and regulatory settings is contingent on the adoption of standard methods for assessing performance. The MicroArray Quality Control project evaluated the repeatability and comparability of microarray data on the major commercial platforms and laid the groundwork for the application of microarray technology to regulatory assessments. However, methods for assessing performance that are commonly applied to diagnostic assays used in laboratory medicine remain to be developed for microarray assays. A reference system for microarray performance evaluation and process improvement was developed that includes reference samples, metrics and reference datasets. The reference material is composed of two mixes of four different rat tissue RNAs that allow defined target ratios to be assayed using a set of tissue-selective analytes that are distributed along the dynamic range of measurement. The diagnostic accuracy of detected changes in expression ratios, measured as the area under the curve from receiver operating characteristic plots, provides a single commutable value for comparing assay specificity and sensitivity. The utility of this system for assessing overall performance was evaluated for relevant applications like multi-laboratory proficiency testing programs and single-laboratory process drift monitoring. The diagnostic accuracy of detection of a 1.5-fold change in signal level was found to be a sensitive metric for comparing overall performance. This test approaches the technical limit for reliable discrimination of differences between two samples using this technology. We describe a reference system that provides a mechanism for internal and external assessment of laboratory proficiency with microarray technology and is translatable to performance assessments on other whole-genome expression arrays used for basic and clinical research.
authors.affiliation: Center for Drug Evaluation and Research, US FDA, Silver Spring, MD, USA.
authors.forename: P S
authors.initials: PS
authors.lastname: Pine
authors.forename: M
authors.initials: M
authors.lastname: Boedigheimer
authors.forename: B A
authors.initials: BA
authors.lastname: Rosenzweig
authors.forename: Y
authors.initials: Y
authors.lastname: Turpaz
authors.forename: Y D
authors.initials: YD
authors.lastname: He
authors.forename: G
authors.initials: G
authors.lastname: Delenstarr
authors.forename: B
authors.initials: B
authors.lastname: Ganter
authors.forename: K
authors.initials: K
authors.lastname: Jarnagin
authors.forename: W D
authors.initials: WD
authors.lastname: Jones
authors.forename: L H
authors.initials: LH
authors.lastname: Reid
authors.forename: K L
authors.initials: KL
authors.lastname: Thompson
mesh_terms: D000818:Animals; D019411:Clinical Laboratory Techniques / Q000592:standards*; D020869:Gene Expression Profiling / Q000379:methods / Q000592:standards*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods / Q000592:standards*; D009928:Organ Specificity; D011786:Quality Control; D012313:RNA / Q000032:analysis / Q000235:genetics* / Q000592:standards; D051381:Rats; D012015:Reference Standards; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
chemical_list: D012313:RNA