Relapsed/Refractory International Prognostic Index (R/R-IPI): An international prognostic calculator for relapsed/refractory diffuse large B-cell lymphoma.


Journal

American journal of hematology
ISSN: 1096-8652
Titre abrégé: Am J Hematol
Pays: United States
ID NLM: 7610369

Informations de publication

Date de publication:
01 05 2021
Historique:
revised: 26 02 2021
received: 15 02 2021
accepted: 28 02 2021
pubmed: 5 3 2021
medline: 14 5 2021
entrez: 4 3 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 33661547
doi: 10.1002/ajh.26149
pmc: PMC8763015
mid: NIHMS1768328
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

599-605

Subventions

Organisme : NCI NIH HHS
ID : Lymphoma Epidemiology of Outcomes U01CA195568
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States
Organisme : NCI NIH HHS
ID : P50 CA097274
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA195568
Pays : United States
Organisme : NCI NIH HHS
ID : University of Iowa/Mayo Clinic SPORE P50CA097274
Pays : United States

Informations de copyright

© 2021 Wiley Periodicals LLC.

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Auteurs

Matthew J Maurer (MJ)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.

Lasse H Jakobsen (LH)

Aalborg University Hospital, Aalborg, Denmark.

Raphael Mwangi (R)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.

Norbert Schmitz (N)

Department of Medicine A, University Hospital Münster, Münster, Germany.

Umar Farooq (U)

Division of Hematology, Oncology, and Blood & Marrow Transplantation, University of Iowa, Iowa City, Iowa.

Cristopher R Flowers (CR)

Department of Lymphoma/Myeloma, MD Anderson Cancer Center, Houston, Texas.

Peter de Nully Brown (P)

Department of Hematology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.

Carrie A Thompson (CA)

Division of Hematology, Mayo Clinic, Rochester, Minnosata.

Henrik Frederiksen (H)

Department of Hematology, Odense University Hospital, Odense, Denmark.

David Cunningham (D)

Department of Medicine, Royal Marsden Hospital, Surrey, UK.

Judit Jørgensen (J)

Department of Hematology, Aarhus University Hospital, Aarhus, Denmark.

Viola Poeschel (V)

Saarland University Medical School, Homburg, Germany.

Grzegorz Nowakowski (G)

Division of Hematology, Mayo Clinic, Rochester, Minnosata.

John F Seymour (JF)

Peter MacCallum Cancer Centre, Melbourne, Australia.

Francesco Merli (F)

Hematology Unit, Azienda Unità Sanitaria Locale/IRCCS Reggio Emilia, Reggio Emilia, Italy.

Corinne Haioun (C)

Clinical Hematology, Henri Mondor University Hospital, UPEC, Creteil, France.

Hervé Ghesquieres (H)

Department of Hematology, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre Benite, France.

Marita Ziepert (M)

Institute for Medical Informatics, Statistics and Epidemiology, University Leipzig, IMISE, Leipzig, Germany.

Hervé Tilly (H)

Centre Henri Becquerel, University of Rouen, Rouen, France.

Gilles Salles (G)

Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, New York.

Qian Shi (Q)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.

Tarec C El-Galaly (TC)

Aalborg University Hospital, Aalborg, Denmark.

Thomas M Habermann (TM)

Division of Hematology, Mayo Clinic, Rochester, Minnosata.

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