Cytometry. Part B, Clinical cytometry · 2010
A GEIL flow cytometry consensus proposal for quantification of plasma cells: application to differential diagnosis between MGUS and myeloma.
СтатьяМногоцентровое исследованиеПоддержка исследования: вне правительства СШАВалидационное исследованиеНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Frébet Elise, Abraham Julie, Geneviève Franck, Lepelley Pascale, Daliphard Sylvie, Bardet Valérie, Amsellem Sophie, Guy Julien, Mullier Francois, Durrieu Francoise, Venon Marie-Dominique, Leleu Xavier, Jaccard Arnaud, Faucher Jean-Luc, Béné Marie C, Feuillard Jean, GEIL Groupe d'Etude Immunologique des Leucémies Study Group
Аннотация
BACKGROUND: Flow cytometry is the sole available technique for quantification of tumor plasma-cells in plasma-cell disorders, but so far, no consensus technique has been proposed. Here, we report on a standardized, simple, robust five color flow cytometry protocol developed to characterize and quantify bone marrow tumor plasma-cells, validated in a multicenter manner.
METHODS: CD36 was used to exclude red blood cell debris and erythroblasts, CD38 and CD138 to detect plasma-cells, immunoglobulin light chains, CD45, CD56, CD19, and CD117 + CD34 to simultaneously characterize abnormal plasma-cells and quantify bone marrow precursors. This approach was applied in nine centers to 229 cases, including 25 controls.
RESULTS: Tumor plasma-cells were detected in 96.8% of cases, all exhibiting an immunoglobulin peak over 1g/L. Calculation of a plasma-cells/precursors (PC/P) ratio allowed quantification of the plasma-cell burden independently from bone marrow hemodilution. The PC/P ratio yielded the best results in terms of sensitivity (81%) and specificity (84%) for differential diagnosis between MGUS and myeloma, when compared with other criteria. Combination of both the PC/P ratio and percentage of abnormal plasma-cells allowed the best differential diagnosis, but these criteria were discordant in 25% cases. Indirect calculation of CD19 negative PC/R ratio gave the best results in terms of sensitivity (87%).
CONCLUSION: This standardized multiparameter flow cytometric approach allows for the detection and quantification of bone marrow tumor plasma-cell infiltration in nearly all cases of MGUS and myeloma, independently of debris and hemodilution. This approach may also prove useful for the detection of minimal residual disease.
METHODS: CD36 was used to exclude red blood cell debris and erythroblasts, CD38 and CD138 to detect plasma-cells, immunoglobulin light chains, CD45, CD56, CD19, and CD117 + CD34 to simultaneously characterize abnormal plasma-cells and quantify bone marrow precursors. This approach was applied in nine centers to 229 cases, including 25 controls.
RESULTS: Tumor plasma-cells were detected in 96.8% of cases, all exhibiting an immunoglobulin peak over 1g/L. Calculation of a plasma-cells/precursors (PC/P) ratio allowed quantification of the plasma-cell burden independently from bone marrow hemodilution. The PC/P ratio yielded the best results in terms of sensitivity (81%) and specificity (84%) for differential diagnosis between MGUS and myeloma, when compared with other criteria. Combination of both the PC/P ratio and percentage of abnormal plasma-cells allowed the best differential diagnosis, but these criteria were discordant in 25% cases. Indirect calculation of CD19 negative PC/R ratio gave the best results in terms of sensitivity (87%).
CONCLUSION: This standardized multiparameter flow cytometric approach allows for the detection and quantification of bone marrow tumor plasma-cell infiltration in nearly all cases of MGUS and myeloma, independently of debris and hemodilution. This approach may also prove useful for the detection of minimal residual disease.