The significance of pretreatment anemia in the era of R‐<scp>IPI</scp> and <scp>NCCN</scp>‐<scp>IPI</scp> prognostic risk assessment tools: a dual‐center study in diffuse large B‐cell lymphoma patients

  • Katharina T. Troppan
    Division of Hematology Medical University of Graz (MUG) Graz Austria
  • Thomas Melchardt
    3rd Medical Department with Hematology and Medical Oncology, Hemostaseology, Rheumatology and Infectious Diseases Laboratory for Immunological and Molecular Cancer Research Oncologic Center Paracelsus Medical University Salzburg Salzburg Austria
  • Alexander Deutsch
    Division of Hematology Medical University of Graz (MUG) Graz Austria
  • Konstantin Schlick
    3rd Medical Department with Hematology and Medical Oncology, Hemostaseology, Rheumatology and Infectious Diseases Laboratory for Immunological and Molecular Cancer Research Oncologic Center Paracelsus Medical University Salzburg Salzburg Austria
  • Tatjana Stojakovic
    Clinical Institute of Medical and Chemical Laboratory Diagnostics Medical University of Graz (MUG) Graz Austria
  • Marc D. Bullock
    Department of Experimental Therapeutics The University of Texas MD Anderson Cancer Center Houston TX USA
  • Daniel Reitz
    Division of Oncology Medical University of Graz (MUG) Graz Austria
  • Christine Beham‐Schmid
    Institute of Pathology Medical University of Graz (MUG) Graz Austria
  • Lukas Weiss
    3rd Medical Department with Hematology and Medical Oncology, Hemostaseology, Rheumatology and Infectious Diseases Laboratory for Immunological and Molecular Cancer Research Oncologic Center Paracelsus Medical University Salzburg Salzburg Austria
  • Daniel Neureiter
    Institute of Pathology Paracelsus Medical University Salzburg Salzburg Austria
  • Kerstin Wenzl
    Division of Hematology Medical University of Graz (MUG) Graz Austria
  • Richard Greil
    3rd Medical Department with Hematology and Medical Oncology, Hemostaseology, Rheumatology and Infectious Diseases Laboratory for Immunological and Molecular Cancer Research Oncologic Center Paracelsus Medical University Salzburg Salzburg Austria
  • Peter Neumeister
    Division of Hematology Medical University of Graz (MUG) Graz Austria
  • Alexander Egle
    3rd Medical Department with Hematology and Medical Oncology, Hemostaseology, Rheumatology and Infectious Diseases Laboratory for Immunological and Molecular Cancer Research Oncologic Center Paracelsus Medical University Salzburg Salzburg Austria
  • Martin Pichler
    Department of Experimental Therapeutics The University of Texas MD Anderson Cancer Center Houston TX USA

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<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Anemia is frequently identified at the time of diagnosis in patients with diffuse large B‐cell lymphoma (<jats:styled-content style="fixed-case">DLBCL</jats:styled-content>); however, studies addressing the prognostic significance of this important clinical parameter are lacking.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>In this dual‐center study of patients with <jats:styled-content style="fixed-case">DLBCL</jats:styled-content> (<jats:italic>n</jats:italic> = 556) treated with rituximab‐containing regimens, we evaluated the prognostic relevance of anemia at diagnosis in a training set (<jats:italic>n</jats:italic> = 211) and validated our findings in a second independent patient cohort (<jats:italic>n</jats:italic> = 345). Using Kaplan–Meier curves as well as univariate and multivariate Cox regression models, we analyzed the impact of anemia on 5‐year overall survival (<jats:styled-content style="fixed-case">OS</jats:styled-content>) and 5‐year disease‐free survival (<jats:styled-content style="fixed-case">DFS</jats:styled-content>) alongside established prognostic indicators including age, tumor stage, the revised International Prognostic Index (R‐<jats:styled-content style="fixed-case">IPI</jats:styled-content>), and the recently published <jats:styled-content style="fixed-case">NCCN</jats:styled-content>‐<jats:styled-content style="fixed-case">IPI</jats:styled-content>. The influence of anemia on the predictive accuracy of <jats:styled-content style="fixed-case">IPI</jats:styled-content>, R‐<jats:styled-content style="fixed-case">IPI</jats:styled-content>, and <jats:styled-content style="fixed-case">NCCN</jats:styled-content>‐<jats:styled-content style="fixed-case">IPI</jats:styled-content> prognosis scores was subsequently determined using the Harrell's concordance index.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Anemia was an independent predictor of impaired <jats:styled-content style="fixed-case">OS</jats:styled-content> and <jats:styled-content style="fixed-case">DFS</jats:styled-content> at 5 years in both <jats:styled-content style="fixed-case">DLBCL</jats:styled-content> patient cohorts (<jats:italic>P </jats:italic>< 0.001, log–rank test). In multivariate analysis, hemoglobin level was also a strong and independent prognostic indicator in patients stratified according to R‐<jats:styled-content style="fixed-case">IPI</jats:styled-content> or <jats:styled-content style="fixed-case">NCCN</jats:styled-content>‐<jats:styled-content style="fixed-case">IPI</jats:styled-content> score. In survival analysis, the estimated concordance index, using <jats:styled-content style="fixed-case">IPI</jats:styled-content>, R‐<jats:styled-content style="fixed-case">IPI</jats:styled-content>, and <jats:styled-content style="fixed-case">NCCN</jats:styled-content>‐<jats:styled-content style="fixed-case">IPI</jats:styled-content> stratification measures (0.69, 0.64, and 0.70, respectively), improved to 0.70, 0.68, and 0.73, respectively, when anemia was also considered.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>In this study, we have demonstrated that anemia at the time of diagnosis is an independent predictor of impaired clinical outcome in <jats:styled-content style="fixed-case">DLBCL</jats:styled-content>. Furthermore, consideration of hemoglobin levels may improve the accuracy of recently established prognostic tools in lymphoma. Our data encourage further evaluation of the prognostic utility of this readily accessible biological parameter in prospective clinical trials.</jats:p></jats:sec>

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