Circulating Plasma Cells in Monoclonal Gammopathies
Cirkulující plazmocyty u monoklonálních gamapatií
Východiska:
Monoklonální gamapatie jsou charakteristické přítomností klonálních plazmocytů v kostní dřeni, nicméně cirkulující plazmatické buňky lze u významné části pacientů nalézt i v periferní krvi. Počet cirkulujících plazmatických buněk je nezávislým prognostickým faktorem asociovaným s kratším přežíváním, ale také může napomoci předvídat časný relaps. Příčina a mechanizmus vycestování klonálních plazmocytů z kostní dřeně stále není objasněna, nicméně může zahrnovat např. změny v expresi adhezivních molekul. Multiparametrická průtoková cytometrie umožňuje jednoduché a přesné stanovení zastoupení cirkulujících plazmocytů v jakékoli buněčné suspenzi, a to i při velmi nízkých počtech, vč. stanovení jejich fenotypu a potvrzení příslušnosti ke klonálním plazmocytům kostní dřeně. V současnosti však v klinických laboratořích není používán jednotný postup k analýze cirkulujících plazmocytů.
Cíl:
Souhrnná práce popisuje využití průtokové cytometrie v analýze cirkulujících plazmocytů v periferní krvi. Zaměřuje se na možnosti detekce pomocí různých přístupů a také na klinický význam stanovení těchto buněk s cílem standardizace analýz.
Závěr:
Multiparametrická průtoková cytometrie je vhodnou a dostatečně citlivou metodou pro detekci cirkulujících myelomových klonálních plazmocytů. Využití standardizovaného přístupu může vést ke stanovení a zavedení nového „průtokově cytometrického” diagnostického kritéria u suspektních případů plazmocelulární leukemie, a může být využito také v rámci prognostikace pacientů s monoklonální gamapatií. Mimoto, stanovení fenotypového profilu klonálních plazmocytů by mohlo napomoci objasnit jejich budoucí chování.
Klíčová slova:
monoklonální gamapatie – crkulující plazmatické buňky – plazmocelulární leukemie – průtoková cytometrie
Práce byla podpořena grantem MZ ČR – RVO (FNBr, 65269705).
Autoři deklarují, že v souvislosti s předmětem studie nemají žádné komerční zájmy.
Redakční rada potvrzuje, že rukopis práce splnil ICMJE kritéria pro publikace zasílané do biomedicínských časopisů.
Obdrženo:
23. 6. 2017
Přijato:
30. 6. 2017
Authors:
R. Bezdekova 1,2; M. Penka 1; R. Hájek 2,3; L. Rihova 1,2
Authors place of work:
Department of Clinical Hematology, University Hospital Brno, Czech Republic
1; Babak Myeloma Group, Department of Pathological Physiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
2; Department of Haematooncology, University Hospital Ostrava, Czech Republic
3
Published in the journal:
Klin Onkol 2017; 30(Supplementum2): 29-34
Category:
Review
doi:
https://doi.org/10.14735/amko20172S29
Summary
Background:
Monoclonal gammopathies are characterized by presence of clonal plasma cells in the bone marrow, although peripheral blood circulating plasma cells can be found in a significant proportion of patients. The number of circulating plasma cells is an independent prognostic marker associated with shorter survival, but it can also help to predict early relapse. The reason and mechanism of plasma cell expansion from the bone marrow to enter peripheral blood is still not entirely clear, but possible changes in the expression of adhesion molecules are probably involved. Multiparametric flow cytometry allows simple and exact enumeration of circulating plasma cells in different types of cell suspensions, even in their low quantity. The phenotype profile and confirmation of clonality regarding to their bone marrow clonal counterparts should be verified as well. There is no uniform method used in clinical laboratories for circulating plasma cells analyses at this moment.
Aim:
Review is focused on use of multiparametric flow cytometry for circulating plasma cells analysis in peripheral blood. It is comparing possibilities of their detection by different methods and on clinical relevance of that assessment. The standardization of analyses is the main goal.
Conclusion:
Multiparametric flow cytometry is a very sensitive method for detection of circulating plasma cells, so using a standardized approach can lead to determination and implementation of the flow cytometry diagnostic threshold in plasma cell leukemia suspicious cases as well as in prognostication of monoclonal gammopathies patients. Moreover, analysis of plasma cells phenotypic profile could probably clarify their future behaviour.
Key words:
monoclonal gammopathies – circulating plasma cells – plasma cell leukemia – flow cytometry
Introduction
Presence of circulating “myelomatous” plasma cells (PCs) has an independent prognostic value in multiple myeloma (MM) [1,2]. Plasma cell leukemia (PCL) represents a unique subset of MM; it is generally a rare and aggressive PC proliferative disorder [3–5]. Existing methods of circulating plasma cell (cPC) detection provide correlating results in some cases but they are not comparable in manner of sensitivity and number of identified cPCs [6]. Although phenotypic profile of cPCs is at least partially known, information explaining behaviour of cPCs is needed. New sensitive multiparametric flow cytometry (MFC) based techniques are able to detect even low number of cPCs together with clonality assessment, so using a standardized approach may lead to improvement in diagnostics and clinical research [7].
Development and localization of PCs under normal and pathological conditions
PCs are terminal stage of B-lymphocytes differentiation with ability to produce antibodies. Their development takes place in secondary lymphoid organs, where B-cells are activated by the antigen and differentiate into plasmablasts. These progenitors of PCs migrate to the bone marrow (BM) where they interact with the BM microenvironment and differentiate into long-lived PCs [8–12]. Some studies described the presence of circulating antibody-secreting cells and especially their increasing number after immunization. Although part of the CD19+CD20–CD38++ cells in blood might express CD138, a marker of PCs, they are probably not fully mature PCs but rather a transitional stage between plasmablasts and BM PCs [9–11]. These cells have homogenous CD45bright expression in all cases [12]. Typical transient expansions of polyclonal plasmablasts/early PCs can be observed in peripheral blood (PB) in case of reactive plasmacytosis in both neoplastic and non-neoplastic conditions [12,13]. Mature long-lived PCs in healthy donors persist only in the BM compartment, and they are not detectable in PB [14].
On the other hand, in monoclonal gammopathies (MG), characterized by presence of clonal PCs in BM, pathological PCs can expand into PB as cPCs [15,16]. Presence of cPCs was documented in various cases, not only in symptomatic MM, but also in asymptomatic smoldering MM (SMM), benign monoclonal gammopathy of undetermined significance (MGUS) [2,17,18] and also in patients with primary amyloidosis [19]. The cause and mechanism of PC expansion from the BM into circulation remains largely unknown, but the critical feature of cPCs is their independence from the BM microenvironment. Thus, some possible reasons of their migration may include changes in angiogenesis and microvessel density with subsequent increase in proliferative rate, higher incidence of cytogenetic abnormalities and changes in expression profile of adhesion molecules [14,20–23]. The question is if presence of cPCs is connected with natural development of the disease to the late phase of MM or forms a completely distinct biological group [21–23]. It was shown that cPCs are mostly quiescent, but surprisingly they have a higher clonogenic potential than their paired BM counterparts. This fact could explain their ability to disseminate into various locations in the BM. This suggests that cPCs represent a unique subpopulation coming from BM clonal PCs [22].
Detection of cPCs
Conventional morphology is able to detect cPCs in around 15% of all newly diagnosed MM patients [21,24]. Immunofluorescence microscopy (IM) detects cPCs in approximately 19–28.5% of MGUS patients, 25–38% SMM and more than 70% of newly diagnosed MM patients [1,15,25,26]. On the other hand, MFC can revealed presence of cPCs in 20–25% of MGUS patients, 40–69% of SMM patients and in 70–84% of newly diagnosed MM patients [2,14,25,27–29] and more than 90% of patients in relapse [14]. Using routine diagnostic immunophenotyping with sensitivity 10–4 was able to detect cPCs in 69% (78/113) newly diagnosed MM (median 0.2% and range 0.05–36.05) (own unpublished results). Using the more sensitive next generation flow (NGF) method, based on standardized Euroflow settings, presence of cPCs was documented in 60% of MGUS, 75% SMM and 96% of MM; and very recently cPCs were detected even in 100% SMM and MM new diagnosed patients [30,31]. Above that, using NGF and gene expression profiling (GEP) demonstrated that genetic features of cPCs are in concordance with BM clonal PCs [30]. It was recently published that CD138-based microfluidic PC capture is a potentially useful tool in MM as it permits quantitation of rare cPCs in blood and subsequent fluorescence-based assays [32]. Underestimation of PC number by MFC when compared to morphology evaluation is known, but results obtained by both methods correlate, and the percentage of PCs provided by MFC is also an independent prognostic factor affecting the overall survival (OS) of patients [6]. Hence, new “flow cytometric” criterion for PCL diagnostics should be established.
Characterization of cPCs by MFC
PCs are commonly identified using markers CD45, CD38 and specific CD138. Despite downregulation of CD138 on abnormal cPCs [22], they are clearly distinguishable by specific SSC/FSC position, usually bright expression of CD38 and low or absent expression of CD45 [14,33]. Discrimination of cPC from normal plasmablasts is important, especially in clonal CD19+ MG cases (Fig. 1).
Aberrantly expressed or missing markers on clonal PCs have been described, as well as their relationship to prognosis of MG patients [34,35]. In comparison to BM PCs, cPCs show downregulation of some surface markers, such as CD11a, CD11c, CD29, CD49d, CD49e, CD33, CD56, CD117, CD138, CD28, CD38, CD81 and upregulation of CD44 and CD97, but their basic phenotype profile is mostly the same as in BM [14,22,36].
Adhesive molecule CD56, neural cell adhesion molecule (NCAM), seems to have a specific significance in abnormal PCs. CD56 is mainly involved during normal embryogenesis and has an important role in migration, mediates cell-to-cell interactions and cell-matrix interaction [37–39]. CD56 is commonly present on NK cells, but it is usually expressed on abnormal PCs in majority of MM [23,37,40]. There is no significant alteration of CD56 expression over the course of the disease, so it is possible that weak expression and/or absence of this molecule on PCs at the time of diagnosis may be connected to PCL development and can help predict dissemination of PCs into PB [23]. This is consistent with downregulation of CD56 in patients with extramedullary involvement [39,40]. Interestingly, CD56 negativity is related to the absence of lytic bone lesions [23,41] and is also associated with more aggressive disease and shorter OS in patients treated by conventional therapy [37,40]. However, lack of CD56 is not a prognostic marker in patients treated with high-dose chemotherapy, but is associated with t (11; 14) [42]. Although decreasing and/or missing expression of CD56 was thought to be responsible for extramedullary spread, there are MG cases with clearly CD56+ cPCs [39,40,43,44]. Also our results showed that CD56 was expressed in majority of cPC+ MM cases although median fluorescence intensity of CD56 in PB was lower than in BM. In our hands, the phenotypic profile of cPCs in a single patient is comparable to their clonal BM PCs (unpublished data).
Clinical relevance of cPCs
Presence of cPCs is associated with remarkably increased risk of malignant transformation of asymptomatic MGUS [1] and SMM into symptomatic MM [45]. Thus, MFC could be a convenient method to identify SMM patients with high-risk of progression before they develop end-organ damage [18]. It has also been shown that presence of cPCs in MGUS patients is related to shorter progression-free survival (PFS) and OS [1]. SMM patients with high levels of cPCs have significantly shorter OS compared to patients without cPCs or low number of cPCs [18,45]. It was demonstrated that MM patients with standard risk cytogenetics have better prognosis when associated with a lower number of cPCs, whereas those with high-risk cytogenetics had poor prognosis independently of number of cPCs [27]. Presence of cPCs positively correlates with higher level of beta2microglobulin, advanced ISS and Durie-Salmon stage and lower hemoglobin [21]. Moreover, their presence is also associated with shortened survival, so they could predict more aggressive disease and early relapse as well [20,46,47]. Thus, cPCs are a marker of disease activity [48]. Number of cPC correlates with disease stage, and patients responding to therapy show reduction of cPCs [14]. Further, negative prognostic impact of cPCs in relapsed or refractory MM was observed [49]. Median time to progression (TTP) was the shortest in patients with no reduction of cPCs compared to patients with cPCs reduction or no detectable cPCs after one cycle of therapy (51 vs. 258 vs. 581 days); median OS was the shortest in the group of patients without reduction of cPCs in comparison to other groups (308 vs. 856 vs. 1,006 days) [49]. Therefore, monitoring of cPCs reduction after first cycle of therapy can be a useful tool for identification of patients resistant to treatment [49]. Negative prognostic impact of cPCs presence prior to transplant on post-transplant response has been observed. Achievement of stringent complete response (sCR) in the group with cPCs presence was 15 vs. 38% in patients with no detectable cPCs before autologous stem cell transplantation (ASCT) [50]. Patients without cPCs were associated with better PFS and OS in comparison to patients with detectable cPCs before ASCT (median PFS in the group with cPCs/without cPCs was 15.1 vs. 29.6 months and OS was 41.0 months vs. not reached). Thus, monitoring of cPCs presence before transplant by FC could predict survival in newly diagnosed MM [50]. Additionally, there were no PCs detected in patients who reached complete remission (CR) [14,51]. Although some studies found statistically significant positive correlation between higher presence of cPCs and the number of PCs in the BM [21,25,52], it was not confirmed by other research groups [2,36,45,53]. So, presence of cPC probably cannot be predicted on the basis of high BM infiltration when different methods of analyses are used (morphology vs. flow cytometry etc.).
Surprisingly, Paiva et al. demonstrated that numbers of clonal cPCs fluctuate in circadian rhythms [22]. In addition to that, patients with low or no cPCs were more likely to have bone lesions than those with high cPC numbers [25]. Monitoring of cPCs kinetics during treatment can help predict early relapse or refractory myeloma and reveal resistance to therapy [49].
Detection, analysis and separation of cPCs is a much less invasive way for their further characterization and useful PB “liquid biopsy” should be a part of routine examination of MG patients which can supply BM aspiration.
Plasma cell leukemia
PCL is a very rare and aggressive form of plasma cell dyscrasias characterized by presence of cPCs. The diagnostic criteria are based on a relative number of cPCs exceeding 20% of the total leukocytes and/or on the absolute number of cPCs exceeding 2 × 109/L in PB [3–5].
PCL can be divided in two different groups. Primary PCL (pPCL) originates de novo with no previous evidence of MM and represents approximately 60% of all PCL cases with median age at diagnosis 55 years [54,55]. On the other hand, secondary PCL (sPCL) is a leukemic transformation of pre-existing MM with median age at diagnosis 65 years and significantly shorter OS than pPCL (1.3 vs. 11.1 months) [55]. The clinical course of both PCLs is very aggressive with bad prognosis, significantly shorter OS than MM and adverse prognostic factors in comparison to MM [56,57]. Treatment of PCL is similar to MM, but despite aggressive new treatment strategies which have improved OS of pPCL patients, it is still worse than MM patients [56–58]. Interestingly, patients with pPCL achieve CR after transplantation more likely, but their OS remains worse than MM patients [59]. On the contrary, sPCL is usually not responsive to any treatment modality [60].
Analogous to MM, PCs of both PCL types express CD38, CD138 and typically have no CD19 [23,56,61]. Despite low incidence of PCLs, some studies demonstrated differences in their PC phenotypic profile. In addition to markedly reduced levels of CD27, which is associated with an aggressive clinical course of the disease [62], lack of or weak expression of CD56 seems to be a characteristic feature of pPCL in both compartments (BM and PB) [23,62]. Increased levels of soluble CD95 and beta2microglobulin have been observed in PCL [63]. Primary PCL shows higher expression of CD20 and lower CD9, CD56, HLA-DR and CD117 compared to BM PCs in MM patients [56,64] and lower expression of CD40 in comparison to MGUS [63]. Interestingly, expression of CD23, which is specific for abnormalities of chromosome 11, is associated with pPCL [65]. As well as in pPCL, typical absence of CD19 and negativity or low expression of CD56 in PB or BM was found in sPCL. CD56–/weak phenotype is stable from time of diagnosis to disease progression [23]. As mentioned above, majority of MM patients express CD56 [23,62], so the group of patients with CD56–/weak expression can possibly delineate a special subset of MM [23,42]. However, even in the era of new drugs, there is no clear connection between dissemination of PCs and loss of CD56, but CD56– group might preferentially be the source of sPCL [23]. In addition to that, PCL shows high expressions of CD54, CD49d, CD29, CD126; in contrast to MM; PCL has uniform expression of CD44. Moreover, overexpression of nestin – a protein marker for neural stem cells – was found in both PCLs when compared to MM [66]. Surprisingly, expression of molecules CD18, CD11a, CD11b was lower on BM PCs and higher on cPCs, so these differences may explain hematogenic dissemination characterizing PCLs [61]. In comparison to untreated MM, PCs from progressing MM patients and BM PCs or cPCs from sPCL patients expressed lower levels or were negative for CD106 and the activated form of CD29, resp., with a weaker or zero ability to adhere to human fibronectin [67]. Phenotypic profile of pPCL and sPCL is not very different, except for a decrease of CD117 in pPCL and loss of CD19 and CD20 expression in sPCL [66]. CD28 seems to be able to distinguish pPCL from sPCL. It was found that expression of CD28 can be found in PB, but not in all cases in BM, and these PCs are more proliferative. Furthermore, in contrast with other markers, CD28 can be upregulated during disease evolution and correlates with tumor progression [23,64].
Using conventional morphology, a group of patients with the presence of 5–20% cPCs was observed to have worse OS independently of other prognostic factors, such as age, creatinine and the grade of D-S and ISS staging system [24]. Above that, this group of patients had lower platelets number together with higher BM infiltration by PCs. Consistently, another study found that OS of MM patients with more than 2% of cPCs was comparable to pPCL [21,24]. Based on this observation, it seems that the time has come to reconsider the diagnostic criteria of PCL. Also, due to the well-known phenomenon of underestimation of PC number by MFC when compared to morphology evaluation [6], and together with important role of MFC in PCL diagnostics [68], there is a need to determine the new flow cytometry criterion for PCL diagnosis which reduces previously established morphologic cut-off to (at least) 10%.
Conclusion
Presence and clinical significance of cPCs is still a partially unsolved phenomenon in majority of MGs. MFC is a very sensitive method not only for detection of cPCs, but also for determination of their phenotypic profile. Technical development of MFC together with development of novel standardized NGF analysis allows standardization of this approach. Further analysis of cPC using other methods on cellular and molecular level may further explore their characteristics regarding their possible future behaviour. Moreover, definition of the “flow cytometry criterion” for PCL diagnostics as well as the prognostication of patients according to cPCs presence and phenotype should be validated in the future.
This work was supported by grant of the Ministry of Health, Czech Republic – Conceptual development of research organization (FNBr, 65269705).
The authors declare they have no potential conflicts of interest concerning drugs, products, or services used in the study.
The Editorial Board declares that the manuscript met the ICMJE recommendation for biomedical papers.
Mgr. Lucie Rihova, Ph.D.
Department of Clinical Hematology University Hospital Brno
Jihlavska 20
625 00 Brno
Czech Republic
e-mail: lucie.rihova@fnbrno.cz
Submitted: 23. 6. 2017
Accepted: 30. 6. 2017
Zdroje
1. Kumar S, Rajkumar SV, Kyle RA et al. Prognostic value of circulating plasma cells in monoclonal gammopathy of undetermined significance. J Clin Oncol 2005; 23 (24): 5668–5674.
2. Nowakowski GS, Witzig TE, Dingli D et al. Circulating plasma cells detected by flow cytometry as a predictor of survival in 302 patients with newly diagnosed multiple myeloma. Blood 2005; 106 (7): 2276–2279.
3. Fernández de Larrea C, Kyle RA, Durie BG et al. Plasma cell leukemia: consensus statement on diagnostic requirements, response criteria and treatment recommendations by the International Myeloma Working Group. Leukemia 2013; 27 (4): 780–791. doi: 10.1038/leu.2012.336.
4. Kyle RA, Maldonado JE, Bayrd ED. Plasma cell leukemia. Report on 17 cases. Arch Intern Med 1974; 133 (5): 813–818.
5. International Myeloma Working Group. Criteria for the classification of monoclonal gammopathies, multiple myeloma and related disorders: a report of the International Myeloma Working Group. Br J Haematol 2003; 121 (5): 749–757.
6. Paiva B, Vidriales MB, Pérez JJ et al. Multiparameter flow cytometry quantification of bone marrow plasma cells at diagnosis provides more prognostic information than morphological assessment in myeloma patients. Haematologica 2009; 94 (11): 1599–1602. doi: 10.3324/haematol.2009.009100.
7. Flores-Montero J, Sanoja-Flores L, Paiva B et al. Next Generation Flow for highly sensitive and standardized detection of minimal residual disease in multiple myeloma. Leukemia 2017. doi: 10.1038/leu.2017.29.
8. Dörner T, Radbruch A. Selecting B cells and plasma cells to memory. J Exp Med 2005; 201 (4): 497–499.
9. Medina F, Segundo C, Campos-Caro A et al. The heterogeneity shown by human plasma cells from tonsil, blood, and bone marrow reveals graded stages of increasing maturity, but local profiles of adhesion molecule expression. Blood 2002; 99 (6): 2154–2161.
10. Caraux A, Klein B, Paiva B et al. Circulating human B and plasma cells. Age-associated changes in counts and detailed characterization of circulating normal CD138– and CD138– plasma cells. Haematologica 2010; 95 (6): 1016–1020. doi: 10.3324/haematol.2009.018689.
11. Jourdan M, Caraux A, De Vos J et al. An in vitro model of differentiation of memory B cells into plasmablasts and plasma cells including detailed phenotypic and molecular characterization. Blood 2009; 114 (25): 5173–5181. doi: 10.1182/blood-2009-07-235960.
12. Pellat-Deceunynck C, Bataille R. Normal and malignant human plasma cells: proliferation, differentiation, and expansions in relation to CD45 expression. Blood Cells Mol Dis 2004; 32 (2): 293–301.
13. Jego G, Avet-Loiseau H, Robillard N et al. Reactive plasmacytoses in multiple myeloma during hematopoietic recovery with G-or GM-CSF. Leuk Res 2000; 24 (7): 627–630.
14. Rawstron AC, Owen RG, Davies FE et al. Circulating plasma cells in multiple myeloma: characterization and correlation with disease stage. Br J Haematol 1997; 97 (1): 46–55.
15. Billadeau D, Van Ness B, Kimlinger T et al. Clonal circulating cells are common in plasma cell proliferative disorders: a comparison of monoclonal gammopathy of undetermined significance, smoldering multiple myeloma, and active myeloma. Blood 1996; 88 (1): 289–296.
16. Kyle RA. The monoclonal gammopathies. Clin Chem 1994; 40 (11): 2154–2161.
17. Gonsalves WI, Rajkumar SV, Gupta V et al. Quantification of clonal circulating plasma cells in newly diagnosed multiple myeloma: implications for redefining high-risk myeloma. Leukemia 2014; 28 (10): 2060–2065. doi: 10.1038/leu.2014.98.
18. Gonsalves WI, Rajkumar SV, Dispenzieri A et al. Quantification of circulating clonal plasma cells via multiparametric flow cytometry identifies patients with smoldering multiple myeloma at high risk of progression. Leukemia 2016; 31 (1): 130–135. doi: 10.1038/leu.2016.205.
19. McElroy EA Jr, Witzig TE, Gertz MA et al. Detection of monoclonal plasma cells in the peripheral blood of patients with primary amyloidosis. Br J Haematol 1998; 100 (2): 326–327.
20. Kumar S, Witzig TE, Greipp PR et al. Bone marrow angiogenesis and circulating plasma cells in multiple myeloma. Br J Haematol 2003; 122 (2): 272–274.
21. An G, Qin X, Acharya C et al. Multiple myeloma patients with low proportion of circulating plasma cells had similar survival with primary plasma cell leukemia patients. Ann Hematol 2015; 94 (2): 257–264. doi: 10.1007/s00277-014-2211-0.
22. Paiva B, Paino T, Sayagues JM et al. Detailed characterization of multiple myeloma circulating tumor cells shows unique phenotypic, cytogenetic, functional, and circadian distribution profile. Blood 2013; 122 (22): 3591–3598. doi: 10.1182/blood-2013-06-510453.
23. Pellat-Deceunynck C, Barillé S, Jego G et al. The absence of CD56 (NCAM) on malignant plasma cells is a hall-mark of plasma cell leukemia and of a special subset of multiple myeloma. Leukemia 1998; 12 (12): 1977–1982.
24. Granell M, Calvo X, Garcia-Guiñón A et al. Prognostic impact of circulating plasma cells in patients with multiple myeloma: implications for plasma cell leukaemia definition. Haematologica 2017; 102 (6): 1099–1104. doi: 10.3324/haematol.2016.158303.
25. Witzig TE, Gertz MA, Lust JA et al. Peripheral blood monoclonal plasma cells as a predictor of survival in patients with multiple myeloma. Blood 1996; 88 (5): 1780–1787.
26. Witzig TE, Kyle RA, O’Fallon WM et al. Detection of peripheral blood plasma cells as a predictor of disease course in patients with smouldering multiple myeloma. Br J Haematol 1994; 87 (2): 266–272.
27. Vagnoni D, Travaglini F, Pezzoni V et al. Circulating plasma cells in newly diagnosed symptomatic multiple myeloma as a possible prognostic marker for patients with standard-risk cytogenetics. Br J Haematol 2015; 170 (4): 523–531. doi: 10.1111/bjh.13484.
28. San Miguel JF, Gutiérrez NC, Mateo G et al. Conventional diagnostics in multiple myeloma. Eur J Cancer 2006; 42 (11): 1510–1519.
29. Paiva B, Pérez-Andrés M, Vídriales MB et al. Competition between clonal plasma cells and normal cells for potentially overlapping bone marrow niches is associated with a progressively altered cellular distribution in MGUS vs myeloma. Leukemia 2011; 25 (4): 697–706. doi: 10.1038/leu.2010.320.
30. Burgos L, Alignani D, Garces JJ et al. Non-Invasive Genetic Profiling Is Highly Applicable in Multiple Myeloma (MM) through Characterization of Circulating Tumor Cells (CTCs). Blood 2016; 128 (22): 801.
31. Sanoja-Flores L, Paiva B, Flores-Montero JA et al. Next Generation Flow (NGF): A High Sensitive Technique to Detect Circulating Peripheral Blood (PB) Clonal Plasma Cells (cPC) in Patients with Newly Diagnosed of Plasma Cell Neoplasms (PCN). Blood 2015; 126 (23): 4180–4180.
32. Qasaimeh MA, Wu YC, Bose S et al. Isolation of Circulating Plasma Cells in Multiple Myeloma Using CD138 Antibody-Based Capture in a Microfluidic Device. Sci Rep 2017; 7: 45681. doi: 10.1038/srep45681.
33. Schneider U, van Lessen A, Huhn D et al. Two subsets of peripheral blood plasma cells defined by differential expression of CD45 antigen. Br J Haematol 1997; 97 (1): 56–64.
34. Paiva B, Almeida J, Pérez-Andrés M et al. Utility of flow cytometry immunophenotyping in multiple myeloma and other clonal plasma cell-related disorders. Cytometry B Clin Cytom 2010; 78 (4): 239–252. doi: 10.1002/cyto.b.20512.
35. Rihova L, Raja KR, Leite LA et al. Immunophenotyping in Multiple Myeloma and Others Monoclonal Gammopathies. 2013 [cited 2017 Jun 27]. Available from: http: //www.intechopen.com/books/multiple-myeloma-a-quick-reflection-on-the-fast-progress/immunophenotyping-in-multiple-myeloma-and-others-monoclonal-gammopathies.
36. Sevcikova T, Kryukov F, Brozova L et al. Gene Expression Profile of Circulating Myeloma Cells Reveals CD44 and CD97 (ADGRE5) Overexpression. Blood 2016; 128 (22): 5639.
37. Van Camp B, Durie BG, Spier C et al. Plasma cells in multiple myeloma express a natural killer cell-associated antigen: CD56 (NKH-1; Leu-19). Blood 1990; 76 (2): 377–382.
38. Walsh FS, Doherty P. Neural cell adhesion molecules of the immunoglobulin superfamily: role in axon growth and guidance. Annu Rev Cell Dev Biol 1997; 13 (1): 425–456.
39. Pellat-Deceunynck C, Barillé S, Puthier D et al. Adhesion Molecules on Human Myeloma Cells: Significant Changes in Expression Related to Malignancy, Tumor Spreading, and Immortalization. Cancer Res 1995; 55 (16): 3647–3653.
40. Sahara N, Takeshita A, Shigeno K et al. Clinicopathological and prognostic characteristics of CD56-negative multiple myeloma. Br J Haematol 2002; 117 (4): 882–885.
41. Ely SA, Knowles DM. Expression of CD56/neural cell adhesion molecule correlates with the presence of lytic bone lesions in multiple myeloma and distinguishes myeloma from monoclonal gammopathy of undetermined significance and lymphomas with plasmacytoid differentiation. Am J Pathol 2002; 160 (4): 1293–1299.
42. Hundemer M, Klein U, Hose D et al. Lack of CD56 expression on myeloma cells is not a marker for poor prognosis in patients treated by high-dose chemotherapy and is associated with translocation t (11; 14). Bone Marrow Transplant 2007; 40 (11): 1033–1037.
43. Dahl IM, Rasmussen T, Kauric G et al. Differential expression of CD56 and CD44 in the evolution of extramedullary myeloma. Br J Haematol 2002; 116 (2): 273–277.
44. Bladé J, Fernández de Larrea C, Rosiñol L et al. Soft-tissue plasmacytomas in multiple myeloma: incidence, mechanisms of extramedullary spread, and treatment approach. J Clin Oncol 2011; 29 (28): 3805–3812. doi: 10.1200/JCO.2011.34.9290.
45. Bianchi G, Kyle RA, Larson DR et al. High levels of peripheral blood circulating plasma cells as a specific risk factor for progression of smoldering multiple myeloma. Leukemia 2013; 27 (3): 680–685. doi: 10.1038/leu.2012. 237.
46. Dingli D, Nowakowski GS, Dispenzieri A et al. Flow cytometric detection of circulating myeloma cells before transplantation in patients with multiple myeloma: a simple risk stratification system. Blood 2006; 107 (8): 3384–3388.
47. Pardanani A, Witzig TE, Schroeder G et al. Circulating peripheral blood plasma cells as a prognostic indicator in patients with primary systemic amyloidosis. Blood 2003; 101 (3): 827–830.
48. Witzig TE, Dhodapkar MV, Kyle RA et al. Quantitation of circulating peripheral blood plasma cells and their relationship to disease activity in patients with multiple myeloma. Cancer 1993; 72 (1): 108–113.
49. Peceliunas V, Janiulioniene A, Matuzeviciene R et al. Circulating plasma cells predict the outcome of relapsed or refractory multiple myeloma. Leuk Lymphoma 2012; 53 (4): 641–647. doi: 10.3109/10428194.2011.627481.
50. Chakraborty R, Muchtar E, Kumar SK et al. Risk stratification in myeloma by detection of circulating plasma cells prior to autologous stem cell transplantation in the novel agent era. Blood Cancer J 2016; 6 (12): e512. doi: 10.1038/bcj.2016.117.
51. Gonsalves WI, Morice WG, Rajkumar V et al. Quantification of clonal circulating plasma cells in relapsed multiple myeloma. Br J Haematol 2014; 167 (4): 500–505. doi: 10.1111/bjh.13067.
52. Rawstron A, Barrans S, Blythe D et al. Distribution of myeloma plasma cells in peripheral blood and bone marrow correlates with CD56 expression. Br J Haematol 1999; 104 (1): 138–143.
53. Billadeau D, Quam L, Thomas W et al. Detection and quantitation of malignant cells in the peripheral blood of multiple myeloma patients. Blood 1992; 80 (7): 1818–1824.
54. Noel P, Kyle RA. Plasma cell leukemia: an evaluation of response to therapy. Am J Med 1987; 83 (6): 1062–1068.
55. Tiedemann RE, Gonzalez-Paz N, Kyle RA et al. Genetic aberrations and survival in plasma cell leukemia. Leukemia 2008; 22 (5): 1044–1052. doi: 10.1038/leu.2008.4.
56. García-Sanz R, Orfão A, González M et al. Primary plasma cell leukemia: clinical, immunophenotypic, DNA ploidy, and cytogenetic characteristics. Blood 1999; 93 (3): 1032–1037.
57. Johnson MR, Del Carpio-Jayo D, Lin P et al. Primary plasma cell leukemia: morphologic, immunophenotypic, and cytogenetic features of 4 cases treated with chemotherapy and stem cell transplantation. Ann Diagn Pathol 2006; 10 (5): 263–268.
58. Gonsalves WI, Rajkumar SV, Go RS et al. Trends in survival of patients with primary plasma cell leukemia: a population-based analysis. Blood 2014; 124 (6): 907–912. doi: 10.1182/blood-2014-03-565051.
59. Drake MB, Iacobelli S, van Biezen A et al. Primary plasma cell leukemia and autologous stem cell transplantation. Haematologica 2010; 95 (5): 804–809. doi: 10.3324/haematol.2009.013334.
60. Hayman SR, Fonseca R. Plasma cell leukemia. Curr Treat Options Oncol 2001; 2 (3): 205–216.
61. Kraj M, Kopeć-Szlęzak J, Pogłód R et al. Flow cytometric immunophenotypic characteristics of 36 cases of plasma cell leukemia. Leuk Res 2011; 35 (2): 169–176. doi: 10.1016/j.leukres.2010.04.021.
62. Morgan TK, Zhao S, Chang KL et al. Low CD27 expression in plasma cell dyscrasias correlates with high-risk disease: an immunohistochemical analysis. Am J Clin Pathol 2006; 126 (4): 545–551.
63. Pérez-Andrés M, Almeida J, Martín-Ayuso M et al. Clonal plasma cells from monoclonal gammopathy of undetermined significance, multiple myeloma and plasma cell leukemia show different expression profiles of molecules involved in the interaction with the immunological bone marrow microenvironment. Leukemia 2005; 19 (3): 449–455.
64. Robillard N, Jego G, Pellat-Deceunynck C et al. CD28, a marker associated with tumoral expansion in multiple myeloma. Clin Cancer Res 1998; 4 (6): 1521–1526.
65. Walters M, Olteanu H, Van Tuinen P et al. CD23 expression in plasma cell myeloma is specific for abnormalities of chromosome 11, and is associated with primary plasma cell leukaemia in this cytogenetic sub-group. Br J Haematol 2010; 149 (2): 292–293.
66. Jelinek T, Kryukov F, Rihova L et al. Plasma cell leukemia: from biology to treatment. Eur J Haematol 2015; 95 (1): 16–26. doi: 10.1111/ejh.12533.
67. Luque R, García-Trujillo JA, Cámara C et al. CD106 and activated-CD29 are expressed on myelomatous bone marrow plasma cells and their downregulation is associated with tumour progression. Br J Haematol 2002; 119 (1): 70–78.
68. Gounari E, Tsavdaridou V, Koletsa T et al. Utility of hematology analyzer and flow cytometry in timely and correct detection of circulating plasma cells: report of three cases. Cytometry B Clin Cytom 2016; 90 (6): 531–537. doi: 10.1002/cyto.b.21350.
Štítky
Paediatric clinical oncology Surgery Clinical oncologyČlánok vyšiel v časopise
Clinical Oncology
2017 Číslo Supplementum2
- Spasmolytic Effect of Metamizole
- Metamizole at a Glance and in Practice – Effective Non-Opioid Analgesic for All Ages
- Metamizole in perioperative treatment in children under 14 years – results of a questionnaire survey from practice
- Current Insights into the Antispasmodic and Analgesic Effects of Metamizole on the Gastrointestinal Tract
- Obstacle Called Vasospasm: Which Solution Is Most Effective in Microsurgery and How to Pharmacologically Assist It?
Najčítanejšie v tomto čísle
- Minimal Residual Disease Assessment in Multiple Myeloma by Multiparametric Flow Cytometry
- CRISPR in Research and Treatment of Multiple Myeloma
- Epidemiology of Multiple Myeloma in the Czech Republic
- Diagnostic Tools of Waldenström’s Macroglobulinemia – Best Possibilities for Non-invasive and Long-term Disease Monitoring