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
  • [31] The prognostic value of multiparameter flow cytometry minimal residual disease assessment in relapsed multiple myeloma
    Paiva, Bruno
    Chandia, Mauricio
    Puig, Noemi
    Vidriales, Maria-Belen
    Perez, Jose J.
    Lopez-Corral, Lucia
    Ocio, Enrique M.
    Garcia-Sanz, Ramon
    Gutierrez, Norma C.
    Jimenez-Ubieto, Ana
    Lahuerta, Juan-Jose
    Mateos, Maria-Victoria
    San Miguel, Jesus F.
    HAEMATOLOGICA, 2015, 100 (02) : E53 - E55
  • [32] MINIMAL RESIDUAL DISEASE MONITORING IN MULTIPLE MYELOMA PATIENTS BY FLOW CYTOMETRY: A SINGLE CENTER EXPERIENCE
    Sizikova, S.
    Pronkina, N.
    Batorov, E.
    Ushakova, G.
    Sergeevicheva, V.
    Gilevich, A.
    Kruchkova, I.
    HAEMATOLOGICA, 2017, 102 : 789 - 789
  • [33] The role of CD44 in the assessment of minimal residual disease of multiple myeloma by flow cytometry
    Zuo, Xiaojia
    Feng, Jinyi
    Ye, Lilin
    Xing, Miao
    Deng, Zhikui
    Gu, Xuefeng
    Liu, Dingsheng
    JOURNAL OF HEMATOPATHOLOGY, 2021, 14 (04) : 299 - 307
  • [34] Comparison of MALDI-TOF Mass Spectrometry Analysis of Peripheral Blood and Bone Marrow Based Flow Cytometry for Tracking Measurable Residual Disease (MRD) in Patients with Multiple Myeloma
    Eveillard, Marion
    Rustad, Even H.
    Roshal, Mikhail
    Zhang, Yanming
    Ciardiello, Amanda Kathryn
    Korde, Neha
    Hultcrantz, Malin
    Hassoun, Hani
    Smith, Eric L.
    Lesokhin, Alexander M.
    Mailankody, Sham
    Landgren, Ola
    Thoren, Katie
    BLOOD, 2019, 134
  • [35] Comparison of MALDI-TOF mass spectrometry analysis of peripheral blood and bone marrow-based flow cytometry for tracking measurable residual disease in patients with multiple myeloma
    Eveillard, Marion
    Rustad, Even
    Roshal, Mikhail
    Zhang, Yanming
    Ciardiello, Amanda
    Korde, Neha
    Hultcrantz, Malin
    Lu, Sydney
    Shah, Urvi
    Hassoun, Hani
    Smith, Eric
    Lesokhin, Alexander
    Mailankody, Sham
    Landgren, Ola
    Thoren, Katie
    BRITISH JOURNAL OF HAEMATOLOGY, 2020, 189 (05) : 904 - 907
  • [36] The role of CD44 in the assessment of minimal residual disease of multiple myeloma by flow cytometry
    Xiaojia Zuo
    Jinyi Feng
    Lilin Ye
    Miao Xing
    Zhikui Deng
    Xuefeng Gu
    Dingsheng Liu
    Journal of Hematopathology, 2021, 14 : 299 - 307
  • [37] Monitoring Measurable/Minimal Residual Disease in Acute Myeloid Leukemia: Multiparametric Flow Cytometry-Based Approach
    Tembhare, Prashant Ramesh
    INDIAN JOURNAL OF MEDICAL AND PAEDIATRIC ONCOLOGY, 2023, 44 (06) : 554 - 565
  • [38] Flow Cytometric Immunophenotyping and Minimal Residual Disease Analysis in Multiple Myeloma
    Gupta, Ritu
    Bhaskar, Archana
    Kumar, Lalit
    Sharma, Atul
    Jain, Paresh
    AMERICAN JOURNAL OF CLINICAL PATHOLOGY, 2009, 132 (05) : 728 - 732
  • [39] Minimal Residual Disease By Flow Cytometry in Multiple Myeloma Based on Euro-Flow Panel in Patients with Clinical Remission of the Disease
    Carrasco-Yalan, Antonio
    Pando-Mayta, John W.
    Soto-Delgado, Tania
    Obregon-Zegarra, Eva H.
    Valdes-Gomez, Jorge J.
    Cuyutupac-Barja, Marylin
    Castillo-Aguirre, Jorge F.
    Guevara-Canales, Jose M.
    BLOOD, 2017, 130
  • [40] Clinical implication of minimal residual disease monitoring by 10-color flow cytometry in multiple myeloma
    姚卫芹
    China Medical Abstracts(Internal Medicine), 2019, 36 (04) : 231 - 232