Ki67 Immunohistochemical Expression Level ≥70%, Bulky Presentation ≥7.5 cm, Meningeal Lymphomatosis, and Interim PET ΔSUVmax After 4 Treatment Cycles <71% as Parts of a Practical Scoring System to Predict Progression-Free Survival and Overall Survival in Diffuse Large B-Cell Lymphoma.

DLBCL Ki67 PET-CT bulky meningeal lymphoma scoring system survival

Journal

Frontiers in nuclear medicine (Lausanne, Switzerland)
ISSN: 2673-8880
Titre abrégé: Front Nucl Med
Pays: Switzerland
ID NLM: 9918470388806676

Informations de publication

Date de publication:
2022
Historique:
received: 05 12 2021
accepted: 14 02 2022
medline: 7 4 2022
pubmed: 7 4 2022
entrez: 2 10 2024
Statut: epublish

Résumé

Currently, prognostic models in diffuse large B-cell lymphoma (DLBCL) fail to closely reflect patients' biological, clinical, and survival heterogeneity. We, therefore, assessed the impact of clinical, biological, immunohistochemical (IHC), baseline (0), and interim (after 2 and 4 treatment cycles) PET (PET0, PET2, and PET4) data not yet included in any scoring system on DLBCL outcome. The analysis was conducted on 89 previously untreated adult patients of the Finistere Observatory Cohort (O.Ly.Fin) with documented DLBCL, recruited between January 2010 and December 2017, with progression-free survival (PFS) and overall survival (OS) as primary and secondary endpoints, respectively. Seventy-eight patients were treated with rituximab, cyclophosphamide, hydroxyadriamycin, vincristine, and prednisone (R-CHOP), while 11 received R-dose-adjusted etoposide, prednisone, vincristine, cyclophosphamide, and hydroxyadriamycin (EPOCH). Patients were followed up until June 20, 2020. On multivariate analysis, Ki67 ≥ 70% on IHC (K), bulky presentation ≥7.5 cm (B), meningeal lymphomatosis (M), and PET0-PET4 ΔSUVmax <71% (P4) were identified as strong independent predictors of PFS, and all variables but bulky disease also strongly and independently predicted OS. Using these 4 parameters, we designed a scoring model named KBMP4 stratifying patients into low- (0 parameter), intermediate- (1 or 2), and high-risk (≥3) subgroups by the Kaplan-Meier analysis. At a median follow-up of 43 months, PFS and OS were both 100% in the low-risk subgroup, 71.4 and 90.5%, respectively, in the intermediate-risk subgroup, and 0 and 55.5%, respectively, in the high-risk subgroup. Use of the KBMP4 model in clinical practice may improve accuracy in prognostic prediction and treatment decisions in

Identifiants

pubmed: 39354989
doi: 10.3389/fnume.2022.829138
pmc: PMC11440974
doi:

Types de publication

Journal Article

Langues

eng

Pagination

829138

Informations de copyright

Copyright © 2022 Rebière, Maajem, Le Calloch, Raj, Le Bris, Malou, Salmon, Quintin-Roué, Tempescul, Bourhis, Samaison, Saad, Salaun, Berthou, Ianotto, Abgral and Eveillard.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Vincent Rebière (V)

Department of Hematology, Brest University Hospital, Brest, France.

Meriem Maajem (M)

Department of Nuclear Medicine, Brest University Hospital, Brest, France.

Ronan Le Calloch (R)

Department of Internal Medicine, Blood and Infectious Diseases, Cornouaille Hospital Center, Quimper, France.

Leela Raj (L)

Faculty of Health Science, McMaster University, Hamilton, ON, Canada.

Anne-Sophie Le Bris (AS)

Department of Internal Medicine, Michel Mazéas Hospital Center, Douarnenez, France.

Mohamed Malou (M)

Department of Hematology and Oncology, Morlaix Hospital Center, Morlaix, France.

François Salmon (F)

Department of Nuclear Medicine, Cornouaille Hospital Center, Quimper, France.

Isabelle Quintin-Roué (I)

Department of Anatomo-Pathology, Brest University Hospital, Brest, France.

Adrian Tempescul (A)

Department of Hematology, Brest University Hospital, Brest, France.

David Bourhis (D)

Department of Nuclear Medicine, Brest University Hospital, Brest, France.

Laura Samaison (L)

Department of Anatomo-Pathology, Cornouaille Hospital Center, Quimper, France.

Hussam Saad (H)

Department of Hematology, Brest University Hospital, Brest, France.

Pierre-Yves Salaun (PY)

Department of Nuclear Medicine, Brest University Hospital, Brest, France.

Christian Berthou (C)

Department of Hematology, Brest University Hospital, Brest, France.

Jean-Christophe Ianotto (JC)

Department of Hematology, Brest University Hospital, Brest, France.

Ronan Abgral (R)

Department of Nuclear Medicine, Brest University Hospital, Brest, France.

Jean-Richard Eveillard (JR)

Department of Hematology, Brest University Hospital, Brest, France.

Classifications MeSH