Analytical Validation of SKY92 for the Identification of High-Risk Multiple Myeloma

J Mol Diagn. 2021 Jan;23(1):120-129. doi: 10.1016/j.jmoldx.2020.10.010. Epub 2020 Nov 2.

Abstract

Multiple myeloma (MM) is an incurable plasma cell cancer with a large variability in survival. Patients with MM classified as high risk by the SKY92 gene expression classifier are at high risk of relapse and short survival. Analytical validation of the SKY92 assay was performed with primary bone marrow specimens from 12 patients with MM and 7 reference cell line specimens. The SKY92 results were 100% concordant with the reference and/or their expected result for sensitivity, specificity, microarray stability, and RLT buffer stability. The SKY92 results were 90% concordant for primary specimen stability, 96.4% concordant for intermediate precision, and 80% to 100% concordant for RNA stability. For the cell-line reproducibility, the concordance was at least 92.9%, except for one near-cut point specimen. For the clinical specimen reproducibility, the concordance was 100%, except for two near-cut point specimens. Three independent laboratories were concordant in ≥77.8% and ≥92.9% of experiments for patient specimens and cell lines, respectively. Statistical acceptance thresholds were developed as Δ ≤1.48 (change in SKY92 score) and SD ≤0.45 (SD across SKY92 scores). Using the Clinical and Laboratory Standards Institute method of choice (EP05-A2/A3), restricted maximum likelihood, the observed Δ values (0 to 1.14) and SDs (0.22 to 0.31) passed acceptance criteria. Thus, we successfully present analytical validation for the SKY92 assay as a prognostic molecular test for individual patients with MM.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Biomarkers, Tumor / genetics
  • Blood Donors
  • Case-Control Studies
  • Cell Line, Tumor
  • Gene Expression Profiling / methods*
  • Gene Expression Regulation, Neoplastic*
  • Humans
  • Molecular Diagnostic Techniques / methods*
  • Multiple Myeloma / genetics*
  • Multiple Myeloma / mortality
  • Multiple Myeloma / pathology
  • Prognosis
  • Recurrence
  • Reproducibility of Results
  • Risk Assessment
  • Sensitivity and Specificity
  • Transcriptome*

Substances

  • Biomarkers, Tumor