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
  • [41] Assessment of plasma cell myeloma minimal residual disease testing by flow cytometry in an international inter-laboratory study: Is it ready for primetime use?
    Scott, Stuart D.
    Fletcher, Matthew
    Whitehouse, Helen
    Whitby, Liam
    Yuan, Constance
    Mazzucchelli, Silvia
    Lin, Pei
    de Tute, Ruth
    Dorwal, Pranav
    Wallace, Paul K.
    Tembhare, Prashant
    Arroz, Maria
    Snowden, John A.
    Chantry, Andrew D.
    Barnett, David
    CYTOMETRY PART B-CLINICAL CYTOMETRY, 2019, 96 (03) : 201 - 208
  • [42] Eight-color multiparameter flow cytometry (EuroFlow-NGF) is as sensitive as next-generation sequencing in detecting minimal/measurable residual disease in autografts of patients with multiple myeloma
    Urushihara, Ryota
    Takezako, Naoki
    Yoroidaka, Takeshi
    Yamashita, Takeshi
    Murata, Ryoichi
    Satou, Kenji
    Nakao, Shinji
    Takamatsu, Hiroyuki
    EJHAEM, 2023, 4 (01): : 184 - 191
  • [43] Minimal residual disease in multiple myeloma: defining the role of next generation sequencing and flow cytometry in routine diagnostic use
    Maclachlan, Kylee H.
    Came, Neil
    Diamond, Benjamin
    Roshal, Mikhail
    Ho, Caleb
    Thoren, Katie
    Mayerhoefer, Marius E.
    Landgren, Ola
    Harrison, Simon
    PATHOLOGY, 2021, 53 (03) : 385 - 399
  • [44] Standardization of High Sensitivity Minimal Residual Disease Monitoring in Multiple Myeloma: An Experience in Tertiary Cancer Centre
    Subramanian, Papagudi
    Chatterjee, Gaurav
    Gokarn, Anant
    Gudapati, Prathyusha
    Deshpande, Nilesh
    Yajamanam, Badrinath
    Patkar, Nikhil
    Inamdar, Nitin
    Punatar, Sachin
    Bagal, Bhausaheb
    Jain, Hasmukh
    Sengar, Manju
    Khattry, Navin
    Gujral, Sumeet
    Tembhare, Prashant
    CLINICAL LYMPHOMA MYELOMA & LEUKEMIA, 2019, 19 (10): : E183 - E183
  • [45] Radiomics analysis of bone marrow biopsy locations in [18F]FDG PET/CT images for measurable residual disease assessment in multiple myeloma
    Eva Milara
    Rafael Alonso
    Lena Masseing
    Alexander P. Seiffert
    Adolfo Gómez-Grande
    Enrique J. Gómez
    Joaquín Martínez-López
    Patricia Sánchez-González
    Physical and Engineering Sciences in Medicine, 2023, 46 : 903 - 913
  • [46] Flow Cytometry-Based Photodynamic Diagnosis with 5-Aminolevulinic Acid for the Detection of Minimal Residual Disease in Multiple Myeloma
    Iwaki, Keita
    Fujiwara, Tohru
    Ito, Takako
    Suzuki, Chie
    Sasaki, Katsuyuki
    Ono, Koya
    Saito, Kei
    Fukuhara, Noriko
    Onishi, Yasushi
    Yokoyama, Hisayuki
    Fujimaki, Shinichi
    Tanaka, Tohru
    Tamura, Hideto
    Fujiwara, Minami
    Harigae, Hideo
    TOHOKU JOURNAL OF EXPERIMENTAL MEDICINE, 2019, 249 (01): : 19 - 28
  • [47] Prospective trial of minimal residual disease assessment by multiparametric flow cytometry for multiple myeloma in the era of bortezomib-based chemotherapy
    Clark, C. Amos
    Mosse, Claudio A.
    Chen, Heidi
    Byrne, Michael
    Chinratanalab, Wichai
    Engelhardt, Brian G.
    Goodman, Stacey A.
    Harrell, Shelton L.
    Kassim, Adetola A.
    Savani, Bipin N.
    Sengsayadeth, Salyka
    Jagasia, Madan
    Cornell, R. Frank
    BONE MARROW TRANSPLANTATION, 2018, 53 (12) : 1589 - 1592
  • [48] False Negative Rate of Minimal Residual Disease Measurement by Multiparameter Flow Cytometry in Multiple Myeloma when Compared to Trephine Immunohistochemistry
    Austin, Michael
    O'Connor, Simon
    Morilla, Ricardo
    Kaiser, Martin
    Boyd, Kevin
    CLINICAL LYMPHOMA MYELOMA & LEUKEMIA, 2018, 18 : S243 - S244
  • [49] Evaluation of next-generation sequencing versus next-generation flow cytometry for minimal-residual-disease detection in Chinese patients with multiple myeloma
    Mo Zhou
    Yan Chen
    Yanlei Gong
    Mingqing Zhu
    Jiannong Cen
    Jinlan Pan
    Lingzhi Yan
    Jingjing Shang
    Song Jin
    Xiaolan Shi
    Weiqin Yao
    Shuang Yan
    Depei Wu
    Suning Chen
    Chengcheng Fu
    Li Yao
    Discover Oncology, 15
  • [50] Minimal residual disease detection in multiple myeloma: comparison between BML single-tube 10-color multiparameter flow cytometry and EuroFlow multiparameter flow cytometry
    Kota Sato
    Kiyoshi Okazuka
    Tadao Ishida
    Jun Sakamoto
    Shigeto Kaneko
    Junichiro Nashimoto
    Yui Uto
    Mizuki Ogura
    Yumiko Yoshiki
    Yu Abe
    Aki Maeda
    Hiroyuki Hamazaki
    Nobuhiro Tsukada
    Yuji Hiragohri
    Kenshi Suzuki
    Annals of Hematology, 2021, 100 : 2989 - 2995