본문 바로가기
KERD
논문KCI 등재

Utility of Plasma Cell Screening Tube Kit to Differentiate Neoplastic Plasma Cells from Reactive Plasma Cells

2

조회

0

다운로드

0

인용

0

참고문헌

키워드

초록

Flow cytometry is a powerful tool for analysis of hematologic malignancies, that provides rapid, quantitative, and multiparametric analysis of heterogeneous cell populations, but requires standardization because of complexities in panel design and interpretation. Here, we compared the Plasma Cell Screening Tube (PCST) kit (Cytognos, Spain) in conjunction with EuroFlow antibody panels for standardization of flow cytometry to a conventional method for diagnosis of plasma cell dyscrasias. Thirty-nine bone marrow samples and one peripheral blood sample from 40 patients were tested. Thirty-three patients were diagnosed with multiple myeloma (MM), and seven were in a reactive state. In PCST implementation, eight antibodies were used for staining, including anti-CD45-Pacific Blue, anti-CD19-PECy7, anti-CD138-OC515, anti-CD38-FITC, anti-CD56-PE, anti-β2-microglobulin-PerCPCy5.5, anti-kappa-APC, and anti-lambda-APC-C750. Plasma cells were initially identified using CD38 and CD138; thereafter, CD38+, CD138+ gated cells were analyzed for CD56, CD19, CD45, cytoplasmic kappa, cytoplasmic lambda, and β2-microglobulin. Conventional flow cytometry was performed with six monoclonal antibodies, including anti-CD56-FITC, anti-kappa-FITC, anti-CD19-PE, anti-lambda-PE, anti-CD138-PECy5, and anti-CD45-PECy7 (Beckman Coulter, USA). Monoclonal plasma cells with cytoplasmic light-chain restriction were detected in 30 of 33 (90.9%) MM cases by conventional methods, and 32 of 33 (97.0%) MM cases with the PCST method. No differences were noted between PCST and the conventional method in immunophenotyping and plasma cell percentages (P=0.323). Among plasma cells, levels (%) were significantly higher by the PCST approach than those in the conventional method (97.6% vs 95.8%, P=0.010). PCST exhibited better performance for plasma cell dyscrasias diagnosis, and could improve laboratory efficiency and quality.

Abstract

Flow cytometry is a powerful tool for analysis of hematologic malignancies, that provides rapid, quantitative, and multiparametric analysis of heterogeneous cell populations, but requires standardization because of complexities in panel design and interpretation. Here, we compared the Plasma Cell Screening Tube (PCST) kit (Cytognos, Spain) in conjunction with EuroFlow antibody panels for standardization of flow cytometry to a conventional method for diagnosis of plasma cell dyscrasias. Thirty-nine bone marrow samples and one peripheral blood sample from 40 patients were tested. Thirty-three patients were diagnosed with multiple myeloma (MM), and seven were in a reactive state. In PCST implementation, eight antibodies were used for staining, including anti-CD45-Pacific Blue, anti-CD19-PECy7, anti-CD138-OC515, anti-CD38-FITC, anti-CD56-PE, anti-β2-microglobulin-PerCPCy5.5, anti-kappa-APC, and anti-lambda-APC-C750. Plasma cells were initially identified using CD38 and CD138; thereafter, CD38+, CD138+ gated cells were analyzed for CD56, CD19, CD45, cytoplasmic kappa, cytoplasmic lambda, and β2-microglobulin. Conventional flow cytometry was performed with six monoclonal antibodies, including anti-CD56-FITC, anti-kappa-FITC, anti-CD19-PE, anti-lambda-PE, anti-CD138-PECy5, and anti-CD45-PECy7 (Beckman Coulter, USA). Monoclonal plasma cells with cytoplasmic light-chain restriction were detected in 30 of 33 (90.9%) MM cases by conventional methods, and 32 of 33 (97.0%) MM cases with the PCST method. No differences were noted between PCST and the conventional method in immunophenotyping and plasma cell percentages (P=0.323). Among plasma cells, levels (%) were significantly higher by the PCST approach than those in the conventional method (97.6% vs 95.8%, P=0.010). PCST exhibited better performance for plasma cell dyscrasias diagnosis, and could improve laboratory efficiency and quality.

참고문헌 (16)

  1. van Dongen JJ, "EuroFlow: Resetting leukemia and lymphoma immunophenotyping. Basis for companion diagnostics and personalized medicine", Leukemia, 26, pp.1899~1907 (2012)
  2. van Dongen JJ, "EuroFlow antibody panels for standardized n-dimensional flow cytometric immunophenotyping of normal, reactive and malignant leukocytes", Leukemia, 26, pp.1908~1975 (2012)
  3. Tae-Dong Jeong, "Simplified flow cytometric immunophenotyping panel for multiple myeloma, CD56", CD19, CD45, to differentiate neoplastic myeloma cells from reactive plasma cells, pp.Blood Research, 2012[DOI]
  4. "EuroFlow standard operating protocol (SOP) for instrument setup and compensation, BC Navios Instruments. Version 1.4"[URL]
  5. Nadav L, "Diverse niches within multiple myeloma bone marrow aspirates affect plasma cell enumeration", Br J Haematol, 133, pp.530~532 (2006)
  6. Cogbill CH, "Morphologic and cytogenetic variables affect the flow cytometric recovery of plasma cell myeloma cells in bone marrow aspirates", Int J Lab Hematol, 37, pp.797~808 (2015)
  7. Terstappen LW, "Identification and characterization of plasma cells in normal human bone marrow by high-resolution flow cytometry", Blood, 76, pp.1739~1747 (1990)
  8. Leo R, "Multiparameter analyses of normal and malignant human plasma cells : CD38++, CD56+, CD54+, cIg+ is the common phenotype of myeloma cells", Ann Hematol, 64, pp.132~139 (1992)
  9. Harada H, "Phenotypic difference of normal plasma cells from mature myeloma cells", Blood, 81, pp.2658~2663 (1993)
  10. Ruiz-Argüelles GJ, "Cell surface markers in multiple myeloma", Mayo Clin Proc, 69, pp.684~690 (1994)
  11. Ocqueteau M, "Immunophenotypic characterization of plasma cells from monoclonal gammopathy of undetermined significance patients. Implications for the differential diagnosis between MGUS and multiple myeloma", Am J Pathol, 152, pp.1655~1665 (1998)
  12. Lin P, "Flow cytometric immunophenotypic analysis of 306 cases of multiple myeloma", Am J Clin Pathol, 121, pp.482~488 (2004)
  13. Seegmiller AC, "Immunophenotypic differentiation between neoplastic plasma cells in mature B-cell lymphoma vs plasma cell myeloma", Am J Clin Pathol, 127, pp.176~181 (2007)
  14. Rawstron AC, "Report of the European Myeloma Network on multiparametric flow cytometry in multiple myeloma and related disorders", Haematologica, 93, pp.431~438 (2008)
  15. Nowakowski GS, "Circulating plasma cells detected by flow cytometry as a predictor of survival in 302 patients with newly diagnosed multiple myeloma", Blood, 106, pp.2276~2279 (2005)
  16. Gonsalves WI, "Quantification of clonal circulating plasma cells in relapsed multiple myeloma", Br J Haematol, 167, pp.500~505 (2014)

관련 논문AI추천

Clinical Utility of Next-Generation Flow-Based Minimal Residual Disease Assessment in Patients with Multiple Myeloma김기현, 김석진, 김선희, 김현영, 김희진, Cho Duck, Lim Dae Jin, Yoo In Young, Yoon Sang Eun대한진단검사의학회 · Annals of Laboratory Medicine2022 · 제42권 제5호Current Status of Flow Cytometric Immunophenotyping of Hematolymphoid Neoplasms in Korea강은숙, Ahn Ari, Cho Duck, Choi Hyun-Woo, Han Jin-Yeong, Hwang Sang-Hyun, Kim Hyerim, Kim Hyun-Young, Kim Kyeong-Hee, Kim Miyoung, Lim Jihyang, Oh Eun-Jee, Park Joo-Heon, Park Mikyoung, Shin Kyung-Hwa, Song Jaewoo대한진단검사의학회 · Annals of Laboratory Medicine2024 · 제44권 제3호Bone Marrow Flow Cytometry in Staging of Patients With B-cell Non-Hodgkin Lymphoma김보람, 김선희, 김희진, 이승태대한진단검사의학회 · Annals of Laboratory Medicine2015 · 제35권 제2호Unusual biclonal IgA plasma cell myeloma with aberrant expression of high-risk immunophenotypes: first report of a new diagnostic and clinical challengeCarlos A. Monroig-Rivera, Clara N. Finch Cruz대한병리학회 · Journal of Pathology and Translational Medicine2023 · 제57권 제2호Factors Influencing Fluorescence-activated Cell Sorting for Multiple Myeloma Fluorescence in situ Hybridization: Real-world ExperienceChoi Jaeguk, Choi Jong Rak, Lee Seung-Tae, Shin Saeam, Yu Kyunghee대한진단검사의학회 · Annals of Laboratory Medicine2025 · 제45권 제3호Expression of CD99 in Multiple Myeloma: A Clinicopathologic and Immunohistochemical Study of 170 Cases길민찬, 박영수, 박찬식, 박찬정, 박호섭, 서철원, 신수진, 윤덕현, 이향신, 정근영, 허주령대한병리학회 · Journal of Pathology and Translational Medicine2014 · 제48권 제3호

이 간행물의 다른 논문 (11건)