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

被引:11
|
作者
van Beers, Erik H. [1 ]
Huigh, Daphne [1 ]
Bosman, Lizanne [1 ]
de Best, Leonie [1 ]
Kuiper, Rowan [1 ]
Spaan, Marieke [1 ]
van Duin, Mark [2 ]
Sonneveld, Pieter [2 ]
Dumee, Belinda [1 ]
van Vliet, Martin H. [1 ]
机构
[1] SkylineDx, Rotterdam, Netherlands
[2] Erasmus MC, Canc Inst, Dept Hematol, Rotterdam, Netherlands
来源
JOURNAL OF MOLECULAR DIAGNOSTICS | 2021年 / 23卷 / 01期
基金
欧盟地平线“2020”;
关键词
GENE-EXPRESSION; ELDERLY-PATIENTS; DIAGNOSIS; ISS;
D O I
10.1016/j.jmoldx.2020.10.010
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
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, micro-array 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 Delta <= 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 Delta 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.
引用
收藏
页码:120 / 129
页数:10
相关论文
共 50 条
  • [1] Identification of Drivers of SKY92 High-Risk Multiple Myeloma
    Mcavera, Roisin
    Cymer, Izabela
    Mcauley, Niamh
    Badar, Sarah
    O'Neill, Grace
    Murphy, Philip
    John, Quinn
    Glavey, Siobhan, V
    BLOOD, 2024, 144 : 5771 - 5772
  • [2] PRECISION AS PART OF THE ANALYTICAL VALIDATION OF THE SKY92 HIGH RISK SIGNATURE AND THE MMPROFILER ASSAY
    Van Vliet, M.
    Dumee, B.
    Bosman, L.
    Huigh, D.
    van Beers, E.
    de Best, L.
    HAEMATOLOGICA, 2016, 101 : 85 - 86
  • [3] SKY92 GEP, IFISH AND ISS COMPARISONS FOR RISK STRATIFICATION IN MULTIPLE MYELOMA
    van Beers, E.
    van Vliet, M.
    de Best, L.
    Gregory, W.
    Morgan, G.
    Goldschmidt, H.
    Kuiper, R.
    van Duin, M.
    Broijl, A.
    Sonneveld, P.
    HAEMATOLOGICA, 2015, 100 : 258 - 258
  • [4] Validation of SKY92 high and low risk prognostication in a retrospective, multinational cohort of 155 non-trial multiple myeloma patients
    Chen, Yan-Ting
    Valent, Erik
    van Beers, Erik H.
    Kuiper, Rowan
    Oliva, Stefania
    Haferlach, Torsten
    Chng, Wee Joo
    van Vliet, Martin H.
    Sonneveld, Pieter
    Larocca, Alessandra
    CLINICAL LYMPHOMA MYELOMA & LEUKEMIA, 2019, 19 (10): : E60 - E61
  • [5] Prognostic Validation of SKY92 and Its Combination With ISS in an Independent Cohort of Patients With Multiple Myeloma
    van Beers, Erik H.
    van Vliet, Martin H.
    Kuiper, Rowan
    de Best, Leonie
    Anderson, Kenneth C.
    Chari, Ajai
    Jagannath, Sundar
    Jakubowiak, Andrzej
    Kumar, Shaji K.
    Levy, Joan B.
    Auclair, Daniel
    Lonial, Sagar
    Reece, Donna
    Richardson, Paul
    Siegel, David S.
    Stewart, A. Keith
    Trudel, Suzanne
    Vij, Ravi
    Zimmerman, Todd M.
    Fonseca, Rafael
    CLINICAL LYMPHOMA MYELOMA & LEUKEMIA, 2017, 17 (09): : 555 - 562
  • [6] High Risk Multiple Myeloma Cases Are Identified In An MMRC Led Study By The SKY92 Gene Signature (MMprofiler)
    van Beers, Erik H.
    Van Vliet, Martin H.
    Anderson, Kenneth C.
    Chari, Ajai
    Jagannath, Sundar
    Jakubowiak, Andrzej
    Kumar, Shaji K.
    Lebovic, Daniel
    Levy, Joan
    Lonial, Sagar
    Reece, Donna E.
    Richardson, Paul G.
    Siegel, David S.
    Stewart, Keith
    Trudel, Suzanne
    Vij, Ravi
    Zimmerman, Todd M.
    Fonseca, Rafael
    BLOOD, 2013, 122 (21)
  • [7] The Combination of SKY92 and ISS Provides a Powerful Tool to Identify Both High Risk and Low Risk Multiple Myeloma Cases, Validation in Two Independent Cohorts
    van Vliet, Martin
    Ubels, Joske
    de Best, Leonie
    van Beers, Erik
    Sonneveld, Pieter
    BLOOD, 2015, 126 (23)
  • [8] THE SKY92 PROGNOSTIC MARKER IS VALIDATED IN EIGHT MULTIPLE MYELOMA CLINICAL DATASETS
    Van Vliet, M.
    Kuiper, R.
    Ubels, J.
    Dumee, B.
    Bosman, L.
    van Beers, E.
    de Best, L.
    Waage, A.
    Zweegman, S.
    Morgan, G.
    Levy, J.
    Auclair, D.
    Fonseca, R.
    Goldschmidt, H.
    van Duin, M.
    Sonneveld, P.
    HAEMATOLOGICA, 2016, 101 : 83 - 83
  • [9] Unveiling the Discrepancy in Multiple Myeloma Risk Classification between Clinical Practice and SKY92 Test and the Impact on Survival
    Biran, Noa
    Dhakal, Binod
    Niesvizky, Ruben
    Lentzsch, Suzanne
    McKay, John T.
    Vesole, David H.
    Nooka, Ajay K.
    Paul, Barry
    Hari, Parameswaran N.
    Stork-Sloots, Lisette
    D'Ambrosi, Silvia
    Kuiper, Rowan
    van Vliet, Martin
    Siegel, David S.
    Usmani, Saad Z.
    van Rhee, Frits
    BLOOD, 2023, 142
  • [10] Prommis Trial Prospectively Demonstrates the Efficacy of SKY92 Risk Stratification in Newly Diagnosed Multiple Myeloma Patients
    Biran, Noa
    Dhakal, Binod
    Niesvizky, Ruben
    Lentzsch, Suzanne
    McKay, John T.
    Vesole, David H.
    Nooka, Ajay K.
    Paul, Barry
    Hari, Parameswaran N.
    Stork-Sloots, Lisette
    D'Ambrosi, Silvia
    Kuiper, Rowan
    van Vliet, Martin
    Siegel, David S.
    Usmani, Saad Z.
    van Rhee, Frits
    BLOOD, 2023, 142