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(searched for: doi:10.3816/clml.2011.n.039)
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, Ilda Murillo-Flórez, , , Department of Hematology Miguel Servet University Hospital Zaragoza, Spain, Department of Hematology University Hospital of Salamanca Salamanca
Clinical Chemistry and Laboratory Medicine (CCLM), Volume 55; doi:10.1515/cclm-2016-0748

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Guillemette Fouquet, Stéphanie Poulain, Suzanna Schraen, Efstathios Koulieris, Elisabeth Bertrand, Stéphanie Guidez, Cécile Tomowiak, Marie-Christine Kyrtsonis, Efstathios Kastritis, Irene Ghobrial, et al.
Waldenström’s Macroglobulinemia pp 239-261; doi:10.1007/978-3-319-22584-5_17

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, Roger G. Owen, Enrica Morra
Waldenström’s Macroglobulinemia pp 265-275; doi:10.1007/978-3-319-22584-5_18

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Vlastimil Scudla, Pavel Lochman, Tomas Pika, Jiri Minarik, Jana Zapletalova, Jaroslav Bacovsky
Published: 30 March 2016
Biomedical Papers, Volume 160, pp 84-93; doi:10.5507/bp.2015.032

Abstract:
Advances in the diagnosis and treatment of multiple myeloma (MM), place increasing demands on accurate stratification of patients as the starting point for optimal individualized therapy. The present study focused on assessing the association between HLC levels and the HLC-r to parameters of MM activity, prognosis and tumor mass volume.The objective was to assess the correlation of immunoglobulin (Ig), heavy/light chain (HLC) pairs (IgG-κ and-λ, IgA-κ and -λ HLC) and the ratio of monoclonal involved-HLC (i-HLC) to polyclonal uninvolved (u-HLC) Ig concentrations assessed by the Hevylite(TM) method with the free light chain κ/λ ratio (FLC-r), selected prognostic laboratory parameters i.e. Hb, platelets, albumin, β2-microglobulin (β2-M), Ca, lactate dehydrogenase (LDH), creatinine and the Durie-Salmon (D-S) and International Staging System (ISS), stages (1-3) for MM. Hevylite assays were done on the sera of 132 MM patients at the time of diagnosis (IgG 94, IgA 38). HLC-r was calculated in the case of i-HLC-κ from the i-HLC-κ/u-HLC-λ ratio and for i-HLC-λ from the i-HLC-λ/u-HLC-κ ratio. D-S and ISS stages were evenly distributed. Md IgG-κ HLC-r was 64.8 (2.7-2222) and of IgG-λ HLC-r 49.6 (0.7-465.1), in the case of IgA-κ, Md HLC-r was 408.9 (3.4-3966) and for IgA-λ HLC-r the Md was 180.0 (0.1-3110). Normal levels of HLC pairs and HLC-r did not always rule out the diagnosis of MM. HLC-r correlated with FLC-r in IgG (r = 0.244, P = 0.018), but not in the IgA type. For IgG, HLC-r values were significantly different in patients with abnormal vs normal levels of Hb (P < 0.0001), albumin (P < 0.043), β2-M (P < 0.0001) and creatinine (P = 0.034) but not thrombocyte count, Ca or LDH. For the IgA isotype, we found a significant difference in HLC-r values only for thrombocyte count (P = 0.026) and β2-M (P = 0.016) but not for Hb, albumin, Ca, LDH or creatinine. For the IgG isotype there was a significant relationship of HLC-r index to stages 1-3 (P = 0.038) and substage A vs B (P = 0.048) according to D-S, and with high significance to stages 1-3 according to ISS (P = 0.005) and between stages 1 vs 3 (P = 0.001). For the IgA isotype, we found significant differences in HLC-r only between stages 1-3 (P = 0.025) according to D-S but not in the case of ISS. There were no significant correlations between i-HLC Ig levels and D-S or ISS stages in both IgG-κ and λ and IgA-κ and λ. Exceptions were significant differences for stages 1 vs 3 (P = 0.012) and 2 vs 3 (P = 0.017) for the IgG-λ isotype. There were no correlations of the HLC-r and u-HLC levels for either D-S or ISS stratifications in all HLC isotypes. We found a significant positive contribution of HLC-r using the i-HLC/u-HLC ratio even in the case of i-HLC-λ i.e. i-HLC-λ/u-HLC-κ. Variable results for the relationship of important laboratory parameters and D-S and ISS stratifications (stage 1-3) to HLC-r values in IgG and IgA isotypes make separate interpretation of the Hevylite method results necessary in clinical practice.
Diagnostic Pathology: Molecular Oncology pp 6-40; doi:10.1016/b978-0-323-37678-5.50093-1

, Wei Su, Qian-Qian Cai, Hao Cai, Wei Ji, Qian Di, , , ,
Published: 12 October 2015
by Wiley
European Journal of Haematology, Volume 97, pp 48-54; doi:10.1111/ejh.12682

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Published: 1 September 2015
Blood Reviews, Volume 29, pp 301-319; doi:10.1016/j.blre.2015.03.001

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, , Avgustina Danailova, Violeta Petkova, Keranka Dimitrova, Lidia Gartcheva, Stefka G. Taneva
Published: 1 September 2015
Thermochimica Acta, Volume 615, pp 23-29; doi:10.1016/j.tca.2015.07.002

, Guy Pratt, Rebecca L. Auer, Rita Flatley, Charalampia Kyriakou, , Francis Matthey, Helen McCarthy, Feargal P. McNicholl, Saad M. Rassam, et al.
Published: 15 February 2014
by Wiley
British Journal of Haematology, Volume 165, pp 316-333; doi:10.1111/bjh.12760

, , Magali Le Garff-Tavernier, Fréderic Davi,
Revue Francophone des Laboratoires, Volume 2013, pp 73-82; doi:10.1016/s1773-035x(13)72034-3

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, , Christina K. Tripsas,
Clinical Lymphoma Myeloma and Leukemia, Volume 13, pp 247-249; doi:10.1016/j.clml.2013.03.001

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, Marie Hélène Delfau-Larue, , Christiane Copie-Bergman, Josette Brière, Tony Petrella, , Bettina Fabiani, Jean-Philippe Jaïs, , et al.
Published: 18 February 2013
Leukemia & Lymphoma, Volume 54, pp 1898-1907; doi:10.3109/10428194.2013.767456

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, France Debaugnies, , Dominique Willems, Fabian Brohet, Jonathan Brauner, Patrick Stordeur
Published: 1 January 2013
Clinical Biochemistry, Volume 46, pp 79-84; doi:10.1016/j.clinbiochem.2012.09.023

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, Robert A. Kyle, Marvin J. Stone, Andy C. Rawstron, Veronique Leblond, , Ramon Garcia-Sanz, , Enrica Morra, Pierre Morel, et al.
Published: 15 November 2012
by Wiley
British Journal of Haematology, Volume 160, pp 171-176; doi:10.1111/bjh.12102

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, D Milosavljevic, N Zojer, J M Faint, , W Hübl, S J Harding
Leukemia, Volume 27, pp 213-219; doi:10.1038/leu.2012.197

Abstract:
Leukemia is one of the leading journals in hematology and oncology. It is published monthly and covers all aspects of the research and treatment of leukemia and allied diseases. Studies of normal hemopoiesis are covered because of their comparative relevance.
Esteban Braggio, Casey Philipsborn, Anne Novak, Lucy Hodge, ,
Haematologica, Volume 97, pp 1281-1290; doi:10.3324/haematol.2012.068478

Abstract:
Waldenström’s macroglobulinemia is an indolent, lymphoproliferative disease, characterized by a heterogeneous lymphoplasmacytic bone marrow infiltrate and high immunoglobulin M production. While technological advances over the past several decades have dramatically improved the possibilities of studying the molecular basis of Waldenström’s macroglobulinemia, the pathogenesis of the disease remains fragmented. Undoubtedly, research has been successful in uncovering underlying aberrations and deregulated mechanisms in this disease, providing useful information for identifying biomarkers for disease diagnosis, risk stratification and therapeutic intervention, but there is still a long way to go before the pathogenesis of Waldenström’s macroglobulinemia is fully revealed. In addition, the low number of in vitro or in vivo models significantly challenges extensive analysis. In this manuscript, we review the molecular basis of this disease.
Published: 10 January 2012
Expert Review of Hematology, Volume 5, pp 187-199; doi:10.1586/ehm.11.82

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