| Literature DB >> 33661547 |
Matthew J Maurer1, Lasse H Jakobsen2, Raphael Mwangi1, Norbert Schmitz3, Umar Farooq4, Cristopher R Flowers5, Peter de Nully Brown6, Carrie A Thompson7, Henrik Frederiksen8, David Cunningham9, Judit Jørgensen10, Viola Poeschel11, Grzegorz Nowakowski7, John F Seymour12, Francesco Merli13, Corinne Haioun14, Hervé Ghesquieres15, Marita Ziepert16, Hervé Tilly17, Gilles Salles18, Qian Shi1, Tarec C El-Galaly2, Thomas M Habermann7.
Abstract
Disease progression after frontline therapy for Diffuse large B-cell lymphoma (DLBCL) is a clinically significant event. Patients who experience early progression or have refractory disease have especially poor outcomes. Simple, clinically applicable prognostic tools are needed for selecting patients for consideration for novel therapies and prognostication in the relapsed/refractory (R/R) setting. Model building was performed in patients from the Surrogate endpoints in aggressive lymphoma (SEAL) consortium with disease progression after frontline immunochemotherapy. The primary endpoint was overall survival (OS) measured from date of progression. Validation was performed in the University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Resource (MER) and Danish National Lymphoma Register (LYFO) cohorts. Model performance was assessed using time-dependent concordance indices (c-statistic) and calibration with metrics evaluated at 2 years from progression. Note, 1234 of 5112 patients treated with frontline immunochemotherapy in the SEAL consortium developed progressive disease. Time to progression on immunochemotherapy and age at progression were strongly associated with post-progression OS (both p < 0.001). A prognostic model was developed incorporating spline fit for both variables. The model had good concordance in the discovery (0.67) and validation sets (LYFO c = 0.64, MER c = 0.68) with generally good calibration. Time to progression on frontline therapy is strongly associated with post-progression OS in DLBCL. We developed and validated a simple to apply clinical prognostic tool in the R/R setting. The useful prediction of expected outcomes in R/R DLBCL and can inform treatment decisions such as considerations for CAR-T therapy as well as trial designs. The model is available in smartphone-based point of care applications.Entities:
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Year: 2021 PMID: 33661547 PMCID: PMC8763015 DOI: 10.1002/ajh.26149
Source DB: PubMed Journal: Am J Hematol ISSN: 0361-8609 Impact factor: 10.047