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Improving the differential diagnosis between myelodysplastic syndromes and reactive peripheral cytopenias by multiparametric flow cytometry: the role of B-cell precursors (2015)

  • Authors:
  • USP affiliated authors: TRAINA, FABÍOLA - FMRP
  • USP Schools: FMRP
  • DOI: 10.1186/s13000-015-0259-3
  • Subjects: DOENÇAS HEMATOLÓGICAS; IMUNOFENOTIPAGEM; CITOMETRIA DE FLUXO; MEDULA ÓSSEA; LEUCEMIA
  • Language: Inglês
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    Informações sobre o DOI: 10.1186/s13000-015-0259-3 (Fonte: oaDOI API)
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    Título do periódico: Diagnostic Pathology

    ISSN: 1746-1596

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    Informações sobre o Citescore
  • Título: Diabetology and Metabolic Syndrome

    ISSN: 1758-5996

    Citescore - 2017: 2.5

    SJR - 2017: 0.943

    SNIP - 2017: 1.033


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    • ABNT

      REIS-ALVES, Suiellen C.; TRAINA, Fabíola; METZE, Konradin; LORAND-METZE, Irene. Improving the differential diagnosis between myelodysplastic syndromes and reactive peripheral cytopenias by multiparametric flow cytometry: the role of B-cell precursors. Diabetology & Metabolic Syndrome, London, v. 10, 2015. Disponível em: < http://dx.doi.org/10.1186/s13000-015-0259-3 > DOI: 10.1186/s13000-015-0259-3.
    • APA

      Reis-Alves, S. C., Traina, F., Metze, K., & Lorand-Metze, I. (2015). Improving the differential diagnosis between myelodysplastic syndromes and reactive peripheral cytopenias by multiparametric flow cytometry: the role of B-cell precursors. Diabetology & Metabolic Syndrome, 10. doi:10.1186/s13000-015-0259-3
    • NLM

      Reis-Alves SC, Traina F, Metze K, Lorand-Metze I. Improving the differential diagnosis between myelodysplastic syndromes and reactive peripheral cytopenias by multiparametric flow cytometry: the role of B-cell precursors [Internet]. Diabetology & Metabolic Syndrome. 2015 ; 10Available from: http://dx.doi.org/10.1186/s13000-015-0259-3
    • Vancouver

      Reis-Alves SC, Traina F, Metze K, Lorand-Metze I. Improving the differential diagnosis between myelodysplastic syndromes and reactive peripheral cytopenias by multiparametric flow cytometry: the role of B-cell precursors [Internet]. Diabetology & Metabolic Syndrome. 2015 ; 10Available from: http://dx.doi.org/10.1186/s13000-015-0259-3

    Referências citadas na obra
    Swerdlow S, Camp E, Harris NL, Jaffe ES, Pileri SA, Stein H, et al. WHO classification of tumors of haematopoietic and lymphoid tissues. Lyon: IARC; 2008.
    Valent P, Horny HP, Bennett JM, Fonatsch C, Germing U, Greenberg P, et al. Definitions and standards in the diagnosis and treatment of the myelodysplastic syndromes: Consensus statements and report from a working conference. Leuk Res. 2007;31:727–39.
    van de Loosdrecht AA, Alhan C, Béné MC, Della Porta MG, Dräger AM, Feuillard J, et al. Standardization of flow cytometry in myelodysplastic syndromes: report from the first European LeukemiaNet working conference on flow cytometric in myelodysplastic syndromes. Haematologica. 2009;94:1124–34.
    Stetler-Stevenson M, Yuan CM. Myelodysplastic syndromes: the role of flow cytometry in diagnosis and prognosis. Int J Lab Hematol. 2009;31:479–83.
    Ossenkoppele GJ, van de Loosdrecht AA, Schuurhuis GJ. Review of the relevance of aberrant antigen expression by flow cytometry in myeloid neoplasms. Br J Haematol. 2011;153:421–36.
    Della Porta MG, Picone C, Pascutto C, Malcovati L, Tamura H, Handa H, et al. Multicenter validation of a reproducible flow cytometric score for the diagnosis of low-grade myelodysplastic syndromes: results of a European LeukemiaNET study. Haematologica. 2012;97:1209–17.
    Loken MR, van de Loosdrecht A, Ogata K, Orfao A, Wells DA. Flow cytometry in myelodysplasic syndromes: report from a consensus working conference. Leuk Res. 2008;32:5–17.
    van de Loosdrecht AA, Westers TM, Westra AH, Drager AM, van der Velden VH, Ossenkoppele GJ. Identification of distinct prognostic subgroups in low- and intermediate-1-risk myelodysplastic syndromes by flow cytometry. Blood. 2008;111:1067–77.
    Sandes AF, Kerbauy DM, Matarraz S, Chauffaille ML, Lopez A, Orfao A, et al. Combined flow cytometric assessment of CD45, HLA-DR, CD34, and CD117 expression is a useful approach for reliable quantification of blast cells in myelodysplastic syndromes. Cytometry B Clin Cytom. 2013;84:157–66.
    Reis SC, Traina F, Saad STO, Lorand-Metze I. Variation of bone marrow CD34+ cell subsets in myelodysplastic syndromes according to WHO types. Neoplasma. 2009;56:435–40.
    Satoh C, Dan K, Yamashita T, Jo R, Tamura H, Ogata K. Flow cytometric parameters with little interexaminer variability for diagnosing low-grade myelodysplastic syndromes. Leuk Res. 2008;32:699–707.
    Lorand-Metze I, Ribeiro E, Lima CSP, Batista LS, Metze K. Detection of hematopoietic maturation abnormalities by flow cytometry in myelodysplastic syndromes and its utility for the differential diagnosis with non-clonal disorders. Leuk Res. 2007;31:147–55.
    Aalbers AM, van den Heuvel-Eibrink MM, Baumann I, Dworzak M, Hasle H, Locatelli F, et al. Bone marrow immunophenotyping by flow cytometry in refractory cytopenia of childhood. Haematologica. 2015;100:315–23.
    van Lochem EG, Velden VHJ, Wind JG, Marvelde JG, Westerdaal NAC, Dongen JJM. Immunophenotypic differentiation patterns of normal hematopoiesis in human bone marrow: reference patterns for age-related changes and disease-induced shifts. Cytometry B Clin Cytom. 2004;60B:1–13.
    Wells DA, Benesch M, Loken MR, Vallejo C, Myerson D, Leisernring WM, et al. Myeloid and monocytic dispoiesis as determinated by flow cytometry scoring in myelodysplastic syndromes correlates with the IPSS and with outcome after hemopoietic stem cell transplantation. Blood. 2003;102:394–405.
    Stachurski D, Smith BR, Pozdnyakova O, Andersen M, Xiao Z, Raza A, et al. Flow cytometric analysis of myelomonocytic cells by a pattern recognition approach is sensitive and specific in diagnosing myelodysplastic syndrome and related marrow diseases: emphasis on a global evaluation and recognition of diagnostic pitfalls. Leuk Res. 2008;32:215–24.
    Chu SC, Wang TF, Li CC, Kao RH, Li DK, Su YC, et al. Flow cytometric scoring system as a diagnostic and prognostic tool in myelodysplastic syndromes. Leuk Res. 2011;35:868–73.
    Tang G, Jorgensen JL, Zhou Y, Hu Y, Kersh M, Garcia-Manero G, et al. Multi-color CD34(+) progenitor-focused flow cytometric assay in evaluation of myelodysplastic syndromes in patients with post cancer therapy cytopenia. Leuk Res. 2012;36:974–81.
    Reis-Alves SC, Traina F, Saad ST, Metze K, Lorand-Metze I. The impact of several phenotypic features at diagnosis on survival of patients with myelodysplastic syndromes. Neoplasma. 2010;57:530–6.
    Lorand-Metze I, Califani SM, Ribeiro E, Lima CS, Metze K. The prognostic value of maturation-associated phenotypic abnormalities in myelodysplastic syndromes. Leuk Res. 2008;32:211–3.
    Ribeiro E, Matarraz Sudón S, Santiago M, Lima CSP, Metze K, Giralt M, et al. Maturation-associated immnophenotypic abnormalities in bone marrow B-lymphocytes in myelodysplastic syndromes. Leuk Res. 2006;30:9–16.
    Westers TM, Ireland R, Kern W, Alhan C, Balleisen JS, Bettelheim P, et al. Standardization of flow cytometry in myelodysplastic syndromes: a report from an international consortium and the European LeukemiaNet Working Group. Leukemia. 2012;26:1730–41.
    Reis-Alves SC, Traina F, Harada G, Campos PM, Saad ST, Metze K, et al. Immunophenotyping in myelodysplastic syndromes can add prognostic information to well-established and new clinical scores. PLoS One. 2013;8:81048.
    Kern W, Haferlach C, Schnittger S, Haferlach T. Clinical utility of multiparameter flow cytometry in the diagnosis of 1013 patients with suspected myelodysplastic syndrome: correlation to cytomorphology, cytogenetics, and clinical data. Cancer. 2010;116:4549–63.
    Matarraz S, Lopez A, Barrena S, Fernandez C, Jensen E, Flores J, et al. The immunophenotype of different immature, myeloid and B-cell lineage-committed CD34+ hematopoietic cells allows discrimination between normal/reactive and myelodysplastic syndrome precursors. Leukemia. 2008;22:1175–83.
    Xu F, Guo J, Wu LY, He Q, Zhang Z, Chang CK, et al. Diagnostic application and clinical significance of FCM progress scoring system based on immunophenotyping in CD34+ blasts in myelodysplastic syndromes. Cytometry B Clin Cytom. 2013;84:267–78.
    Westers TM, van der Velden VH, Alhan C, Bekkema R, Bijkerk A, Brooimans RA, et al. Implementation of flow cytometry in the diagnostic work-up of myelodysplastic syndromes in a multicenter approach: report from the Dutch Working Party on Flow Cytometry in MDS. Leuk Res. 2012;36:422–30.
    Lorand-Metze I, Pinheiro MP, Ribeiro E, de Paula EV, Metze K. Factors influencing survival in myelodysplastic syndromes in a Brazilian population: comparison of FAB and WHO classifications. Leuk Res. 2004;28:587–94.
    Ribeiro E, Lima CSP, Metze K, Lorand-Metze I. Flow cytometric analysis of the expression of Fas/FasL in bone marrow CD34+ cells in myelodysplastic syndromes: relation to disease progression. Leuk Lymphoma. 2004;45:309–13.
    Falco P, Levis A, Stacchini A, Ciriello MM, Geuna M, Notari P, et al. Prognostic relevance of cytometric quantitative assessment in patients with myelodysplastic syndromes. Eur J Haematol. 2011;87:409–18.
    Porwit A, van de Loosdrecht AA, Bettelheim P, Brodersen LE, Burbury K, Cremers E, et al. Revisiting guidelines for integration of flow cytometry results in the WHO classification of myelodysplastic syndromes—proposal from the International/European LeukemiaNet Working Group for Flow Cytometry in MDS. Leukemia. 2014;28:1793–8.
    Greenberg PL, Tuechler H, Schanz J, Sanz G, Garcia-Manero G, Solé F, et al. Revised international prognostic scoring system for myelodysplastic syndromes. Blood. 2012;120:2454–65.
    Malcovati L, Della Porta MG, Strupp C, Ambaglio I, Kuendgen A, Nachtkamp K, et al. Impact of the degree of anemia on the outcome of patients with myelodysplastic syndrome and its integration into the WHO classification-based Prognostic Scoring System (WPSS). Haematologica. 2011;96:1433–40.
    Schanz J, Tuchler H, Sole F, Mallo M, Luno E, Cervera J, et al. New comprehensive cytogenetic scoring system for primary myelodysplastic syndromes (MDS) and oligoblastic acute myeloid leukemia after MDS derived from an international database merge. J Clin Oncol. 2012;30:820–9.
    Nakayama S, Yokote T, Hirata Y, Iwaki K, Akioka T, Miyoshi T, et al. An approach for diagnosing plasma cell myeloma by three-color flow cytometry based on kappa/lambda ratios ofCD38-gated CD138+ cells. Diagn Pathol. 2012;7:31.
    Rimsza LM, Day WA, McGinn S, Pedata A, Natkunam Y, Warnke R, et al. Kappa and lambda light chain mRNA in situ hybridization compared to flow cytometry and immunohistochemistry in B cell lymphomas. Diagn Pathol. 2014;9:144.
    Ogata K, Kakumoto K, Matsuda A, Tohyama K, Tamura H, Ueda Y, et al. Differences in blast immunophenotypes among disease types in myelodysplastic syndromes: a multicenter validation study. Leuk Res. 2012;36:1229–36.
    Chantepie SP, Cornet E, Salaun V, Reman O. Hematogones: an overview. Leuk Res. 2013;37:1404–11.