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Identification of clinical-biological features of newly diagnosed early relapse multiple myeloma patients eligible for autologous stem cell transplantation.
Cillo, Lorenzo; Palma, Anna Benedetta Dalla; Ricci, Stefania; Pedrazzoni, Mario; Scita, Matteo; Bernardi, Matia; Sammarelli, Gabriella; Pelagatti, Laura; Giuliani, Nicola.
Afiliação
  • Cillo L; Department of Medicine and Surgery University of Parma Parma Italy.
  • Palma ABD; Department of Onco-Hematology Hematology and BMT Unit University Hospital of Parma Parma Italy.
  • Ricci S; Department of Onco-Hematology Hematology and BMT Unit University Hospital of Parma Parma Italy.
  • Pedrazzoni M; Department of Medicine and Surgery University of Parma Parma Italy.
  • Scita M; Department of Onco-Hematology Hematology and BMT Unit University Hospital of Parma Parma Italy.
  • Bernardi M; Department of Onco-Hematology Hematology and BMT Unit University Hospital of Parma Parma Italy.
  • Sammarelli G; Department of Onco-Hematology Hematology and BMT Unit University Hospital of Parma Parma Italy.
  • Pelagatti L; Department of Onco-Hematology Hematology and BMT Unit University Hospital of Parma Parma Italy.
  • Giuliani N; Department of Medicine and Surgery University of Parma Parma Italy.
EJHaem ; 5(4): 892-895, 2024 Aug.
Article em En | MEDLINE | ID: mdl-39157622
ABSTRACT
A portion of multiple myeloma (MM) patients relapse early or do not respond to first line treatment. Identification of possible clinical and or biological features of these patients remains an unmet medical need. In this study we assesed the predictive markers for early relapse MM, defined as a progressive disease that occurred within 18 months, from autologoust stem cell transplantation (ASCT) in MM patients who did not have primary refractory disease. 74 consecutive MM patients were included in the study that received intensive therapy with ASCT. The study was able to identify the main features of newly diagnosed ER MM patients eligible for ASCT identifying the IgA isotype and the R2-ISS score system as the main predictive prognostic factors for ER in this cohort of MM patients.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: EJHaem Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: EJHaem Ano de publicação: 2024 Tipo de documento: Article