Evaluation of multiple myeloma measurable residual disease by high sensitivity flow cytometry: An international harmonized approach for data analysis

被引:12
|
作者
Soh, Kah Teong [1 ]
Came, Neil [2 ]
Otteson, Gregory E. [3 ]
Jevermovic, Dragan [3 ]
Shi, Min [3 ]
Olteanu, Horatiu [3 ]
Natoni, Alessandro [4 ]
Lagoo, Anand [5 ]
Theakston, Edward [6 ]
Oskarsson, Jon Porir [7 ]
Gorniak, Malgorzata [8 ]
Grigoriadis, George [8 ]
Arroz, Maria [9 ]
Fletcher, Matthew [10 ]
Lin, Pei [11 ]
Ludwig, Peter [12 ]
Tembhare, Prashant [13 ]
Matuzeviciene, Reda [14 ,15 ]
Radzevicius, Mantas [14 ,15 ]
Kay, Sigi [16 ]
Chen, Weina [17 ]
Cabrita, Carina [18 ]
Wallace, Paul K. [1 ]
机构
[1] Roswell Pk Comprehens Canc Ctr, Buffalo, NY 14203 USA
[2] Peter MacCallum Canc Ctr, Melbourne, Vic, Australia
[3] Mayo Clin, Rochester, MN USA
[4] Natl Univ Ireland Galway, Galway, Ireland
[5] Duke Univ Med Ctr, Durham, NC USA
[6] Auckland Dist Hlth Board, Auckland, New Zealand
[7] Univ Iceland, Fac Med, Reykjavik, Iceland
[8] Alfred Hosp, Melbourne, Vic, Australia
[9] Hosp S Francisco Xavier, Ctr Hospitalar Lisboa Ocidental, Lisbon, Portugal
[10] Royal Hallamshire Hosp, Dept Haematol, UK NEQAS Leucocyte Immunophenotyping, Sheffield, S Yorkshire, England
[11] MD Anderson Canc Ctr, Houston, TX USA
[12] Hanusch Hosp, Vienna, Austria
[13] Tata Mem Hosp, Mumbai, Maharashtra, India
[14] Vilnius Univ, Dept Physiol Biochem Microbiol & Lab Med, Inst Biomed Sci, Vilnius, Lithuania
[15] Vilnius Univ Hosp Santaros Clin, Lab Med Ctr, Vilnius, Lithuania
[16] Tel Aviv Sourasky Med Ctr, Tel Aviv, Israel
[17] Univ Texas Southwestern Med Ctr, Dallas, TX USA
[18] Cytognos SL, Salamanca, Spain
关键词
data analysis; harmonized approach; limit of detection; lower limit of quantification; measurable residual disease; multiparametric flow cytometry; multiple myeloma; CONSENSUS GUIDELINES; PLASMA-CELLS; CRITERIA; THERAPY; PROGRAM;
D O I
10.1002/cyto.b.22053
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Background Multiple myeloma (MM) measurable residual disease (MRD) evaluated by flow cytometry is a surrogate for progression-free and overall survival in clinical trials. However, analysis and reporting between centers lack uniformity. We designed and evaluated a consensus protocol for MM MRD analysis to reduce inter-laboratory variation in MM MRD reporting. Methods Seventeen participants from 13 countries performed blinded analysis of the same eight de-identified flow cytometry files from patients with/without MRD using their own method (Stage 1). A consensus gating protocol was then designed following survey and discussions, and the data re-analyzed for MRD and other bone marrow cells (Stage 2). Inter-laboratory variation using the consensus strategy was reassessed for another 10 cases and compared with earlier results (Stage 3). Results In Stage 1, participants agreed on MRD+/MRD- status 89% and 68% of the time respectively. Inter-observer variation was high for total numbers of analyzed cells, total and normal plasma cells (PCs), limit of detection, lower limit of quantification, and enumeration of cell populations that determine sample adequacy. The identification of abnormal PCs remained relatively consistent. By consensus method, average agreement on MRD- status improved to 74%. Better consistency enumerating all parameters among operators resulted in near-unanimous agreement on sample adequacy. Conclusion Uniform flow cytometry data analysis substantially reduced inter-laboratory variation in reporting multiple components of the MM MRD assay. Adoption of a harmonized approach would meet an important need for conformity in reporting MM MRD for clinical trials, and wider acceptance of MM MRD as a surrogate clinical endpoint.
引用
收藏
页码:88 / 106
页数:19
相关论文
共 50 条
  • [21] MINIMAL RESIDUAL DISEASE MONITORING IN MULTIPLE MYELOMA USING POLYCHROMATIC FLOW CYTOMETRY
    Rihova, Lucie
    Varmuzova, Tamara
    Zarbochova, Pavla
    Suska, Renata
    Penka, Miroslav
    Hajek, Roman
    CYTOMETRY PART B-CLINICAL CYTOMETRY, 2012, 82B (06) : 404 - 405
  • [22] Minimal residual disease testing in multiple myeloma by flow cytometry: major heterogeneity
    Flanders, Aaron
    Stetler-Stevenson, Maryalice
    Landgren, Ola
    BLOOD, 2013, 122 (06) : 1088 - 1089
  • [23] An analysis of the false negative rate of minimal residual disease measurement by multiparameter flow cytometry in multiple myeloma
    Austin, Michael
    O'Connor, Simon
    Morilla, Ricardo
    Pawlyn, Charlotte
    Kaiser, Martin F.
    Boyd, Kevin D.
    INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY, 2020, 42 (02) : E65 - E67
  • [24] Validated single-tube multiparameter flow cytometry approach for the assessment of minimal residual disease in multiple myeloma
    Dold, Sandra Maria
    Riebl, Veronika
    Wider, Dagmar
    Follo, Marie
    Pantic, Milena
    Ihorst, Gabriele
    Duyster, Justus
    Zeiser, Robert
    Waesch, Ralph
    Engelhardt, Monika
    HAEMATOLOGICA, 2020, 105 (10) : E523 - E530
  • [25] Reliable monitoring of minimal residual disease in multiple myeloma:: how specific is flow cytometry?
    Lioznov, MV
    Cortes-Dericks, L
    Fehse, B
    Zander, AR
    Kröger, N
    BONE MARROW TRANSPLANTATION, 2006, 37 : S146 - S147
  • [26] Standardizing Clinical Workflow for Assessing Minimal Residual Disease by Flow Cytometry in Multiple Myeloma
    Foureau, David M.
    Paul, Barry A.
    Guo, Fei
    Lipford, Edward H.
    Fesenkova, Kateryna
    Tjaden, Elise
    Drummond, Kendra
    Bhutani, Manisha
    Atrash, Shebli
    Ndiaye, Ami
    Varga, Cindy
    Voorhees, Peter M.
    Usmani, Saad Z.
    CLINICAL LYMPHOMA MYELOMA & LEUKEMIA, 2023, 23 (01): : E41 - E50
  • [27] Comparison of mass spectrometry and flow cytometry in measuring minimal residual disease in multiple myeloma
    Foureau, David
    Bhutani, Manisha
    Guo, Fei
    Rigby, Katherine
    Leonidas, Marina
    Tjaden, Elise
    Fox, Andee
    Atrash, Shebli
    Paul, Barry
    Voorhees, Peter M.
    Usmani, Saad Z.
    CANCER MEDICINE, 2021, 10 (20): : 6933 - 6936
  • [28] High Sensitivity Detection of Residual Disease in Multiple Myeloma from Blood
    Murray, David
    Dispenzieri, Angela
    Dasari, Surendra
    Kohlhagen, Mindy
    Barnidge, David
    Mills, John
    CLINICAL LYMPHOMA MYELOMA & LEUKEMIA, 2017, 17 (01): : E46 - E47
  • [29] Minimal residual disease and quality sample evaluation by Next Generation Flow cytometry in multiple myeloma patients: a Brazilian experience
    Salgado, Anna Beatriz
    de Pontes, Roberia Mendonca
    Pessoa de Magalhaes Filho, Roberto Jose
    Barbosa, Eduarda
    Dutra, Helio
    Pimenta, Glicinia
    da Costa, Elaine Sobral
    Maiolino, Angelo
    CLINICAL LYMPHOMA MYELOMA & LEUKEMIA, 2019, 19 (10): : E179 - E179
  • [30] Comparison of Cross-Platform Flow Cytometry Minimal Residual Disease Evaluation in Multiple Myeloma Using a Common Antibody Combination and Analysis Strategy
    Mathis, Stephanie
    Chapuis, Nicolas
    Borgeot, Jessica
    Maynadie, Marc
    Fontenay, Michaela
    Bene, Marie-Christine
    Guy, Julien
    Bardet, Valerie
    CYTOMETRY PART B-CLINICAL CYTOMETRY, 2015, 88 (02) : 101 - 109