Skip to main navigation Skip to search Skip to main content

Integrating genetic subtypes with PET scan monitoring to predict outcome in diffuse large B-cell lymphoma

  • Matías S. Mendeville
  • , Jurriaan Janssen
  • , G. Tjitske Los-de Vries
  • , Erik van Dijk
  • , Julia Richter
  • , Marcel Nijland
  • , Margaretha G.M. Roemer
  • , Phylicia Stathi
  • , Nathalie J. Hijmering
  • , Reno Bladergroen
  • , Diego A. Pelaz
  • , Arjan Diepstra
  • , Corinne J. Eertink
  • , Coreline N. Burggraaff
  • , Yongsoo Kim
  • , Pieternella J. Lugtenburg
  • , Anke van den Berg
  • , Alexandar Tzankov
  • , Stefan Dirnhofer
  • , Ulrich Dührsen
  • Andreas Hüttmann, Wolfram Klapper, Josée M. Zijlstra, Bauke Ylstra*, Daphne de Jong
*Corresponding author for this work
  • Amsterdam UMC
  • Kiel University
  • University Medical Centre Groningen
  • University of Basel
  • University Hospital Essen

Research output: Contribution to journalArticleAcademicpeer-review

8 Citations (Scopus)
42 Downloads (Pure)

Abstract

Next Generation Sequencing-based subtyping and interim- and end of treatment positron emission tomography (i/eot-PET) monitoring have high potential for upfront and on-treatment risk assessment of diffuse large B-cell lymphoma patients. We performed Dana Farber Cancer Institute (DFCI) and LymphGen genetic subtyping for the HOVON84 (n = 208, EudraCT-2006-005174-42) and PETAL (n = 204, EudraCT-2006-001641-33) trials retrospectively combined with DFCI genetic data (n = 304). For all R-CHOP treated patients (n = 592), C5/MCD- and C2/A53-subtypes show significantly worse outcome independent of the international prognostic index. For all subtypes, adverse prognostic value of i/eot-PET-positive status is confirmed. Consistent with frequent primary refractory disease, only 67% C2 patients become eot-PET-negative versus 81-88% for other subtypes. Indicative of high relapse rates, outcome of C5 i/eot-PET-negative patients remains significantly worse in HOVON-84, which trend validates in the PETAL and SAKK38-07 trials (NCT00544219). These results show the added value of integrated genetic subtyping and PET monitoring for prognostic stratification and subtype-specific trial design.

Original languageEnglish
Article number109
JournalNature Communications
Volume16
Issue number1
DOIs
Publication statusPublished - 2 Jan 2025

Bibliographical note

© The Author(s) 2024.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Integrating genetic subtypes with PET scan monitoring to predict outcome in diffuse large B-cell lymphoma'. Together they form a unique fingerprint.

Cite this