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Clinicogenetic risk models predict early progression of follicular lymphoma after first-line immunochemotherapy.
Jurinovic, Vindi; Kridel, Robert; Staiger, Annette M; Szczepanowski, Monika; Horn, Heike; Dreyling, Martin H; Rosenwald, Andreas; Ott, German; Klapper, Wolfram; Zelenetz, Andrew D; Barr, Paul M; Friedberg, Jonathan W; Ansell, Stephen; Sehn, Laurie H; Connors, Joseph M; Gascoyne, Randy D; Hiddemann, Wolfgang; Unterhalt, Michael; Weinstock, David M; Weigert, Oliver.
Afiliação
  • Jurinovic V; Medical Department III, University Hospital of the Ludwig Maximilians University Munich, Munich, Germany; Institute for Medical Informatics, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany;
  • Kridel R; Centre for Lymphoid Cancer, British Columbia Cancer Agency, Vancouver, BC, Canada;
  • Staiger AM; Department of Clinical Pathology, Robert-Bosch-Krankenhaus, Stuttgart, Germany; Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, and University of Tübingen, Tübingen, Germany;
  • Szczepanowski M; Hematopathology Section, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany;
  • Horn H; Department of Clinical Pathology, Robert-Bosch-Krankenhaus, Stuttgart, Germany; Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, and University of Tübingen, Tübingen, Germany;
  • Dreyling MH; Medical Department III, University Hospital of the Ludwig Maximilians University Munich, Munich, Germany;
  • Rosenwald A; Institute of Pathology, University of Würzburg, and Comprehensive Cancer Center Mainfranken, Würzburg, Germany;
  • Ott G; Department of Clinical Pathology, Robert-Bosch-Krankenhaus, Stuttgart, Germany;
  • Klapper W; Hematopathology Section, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany;
  • Zelenetz AD; Department of Medicine, Memorial Sloan Kettering Cancer Center, and Weill Medical College of Cornell University, New York, NY;
  • Barr PM; Wilmot Cancer Institute, University of Rochester, Rochester NY;
  • Friedberg JW; Wilmot Cancer Institute, University of Rochester, Rochester NY;
  • Ansell S; Division of Hematology, Mayo Clinic, Rochester, MN;
  • Sehn LH; Centre for Lymphoid Cancer, British Columbia Cancer Agency, Vancouver, BC, Canada;
  • Connors JM; Centre for Lymphoid Cancer, British Columbia Cancer Agency, Vancouver, BC, Canada;
  • Gascoyne RD; Centre for Lymphoid Cancer, British Columbia Cancer Agency, Vancouver, BC, Canada;
  • Hiddemann W; Medical Department III, University Hospital of the Ludwig Maximilians University Munich, Munich, Germany; German Cancer Consortium and German Cancer Research Center, Heidelberg, Germany; and.
  • Unterhalt M; Medical Department III, University Hospital of the Ludwig Maximilians University Munich, Munich, Germany;
  • Weinstock DM; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
  • Weigert O; Medical Department III, University Hospital of the Ludwig Maximilians University Munich, Munich, Germany; German Cancer Consortium and German Cancer Research Center, Heidelberg, Germany; and.
Blood ; 128(8): 1112-20, 2016 08 25.
Article em En | MEDLINE | ID: mdl-27418643
ABSTRACT
Follicular lymphoma (FL) is a clinically and molecularly heterogeneous disease. Posttreatment surrogate end points, such as progression of disease within 24 months (POD24) are promising predictors for overall survival (OS) but are of limited clinical value, primarily because they cannot guide up-front treatment decisions. We used the clinical and molecular data from 2 independent cohorts of symptomatic patients in need of first-line immunochemotherapy (151 patients from a German Low-Grade Lymphoma Study Group [GLSG] trial and 107 patients from a population-based registry of the British Columbia Cancer Agency [BCCA]) to validate the predictive utility of POD24, and to evaluate the ability of pretreatment risk models to predict early treatment failure. POD24 occurred in 17% and 23% of evaluable GLSG and BCCA patients, with 5-year OS rates of 41% (vs 91% for those without POD24, P < .0001) and 26% (vs 86%, P < .0001), respectively. The m7-FL International Prognostic Index (m7-FLIPI), a prospective clinicogenetic risk model for failure-free survival, had the highest accuracy to predict POD24 (76% and 77%, respectively) with an odds ratio of 5.82 in GLSG (P = .00031) and 4.76 in BCCA patients (P = .0052). A clinicogenetic risk model specifically designed to predict POD24, the POD24-PI, had the highest sensitivity to predict POD24, but at the expense of a lower specificity. In conclusion, the m7-FLIPI prospectively identifies the smallest subgroup of patients (28% and 22%, respectively) at highest risk of early failure of first-line immunochemotherapy and death, including patients not fulfilling the POD24 criteria, and should be evaluated in prospective trials of precision medicine approaches in FL.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Linfoma Folicular / Progressão da Doença / Imunoterapia Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Blood Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Linfoma Folicular / Progressão da Doença / Imunoterapia Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Blood Ano de publicação: 2016 Tipo de documento: Article