Prognostic impact of specific IGHV rearrangements in younger untreated Mantle Cell Lymphoma patients is independent of p53 alterations and may be modified by ibrutinib-based regimens: Insights from the TRIANGLE trial within the MULTIPLY project
Abstract
Abstract Introduction The TRIANGLE trial (Dreyling et al, Lancet 2024) compared three treatment arms in untreated, younger patients with mantle cell lymphoma (MCL): arm I (IR-CHOP/R-DHAP + ibrutinib maintenance [Im]), arm A+I (IR-CHOP/R-DHAP + ASCT + Im), and arm A (standard-of-care R-CHOP/R-DHAP + ASCT). Ibrutinib-containing regimens demonstrated superior failure-free survival (FFS) and overall survival (OS). Prior studies (Hadzidimitriou et al, Blood 2011) have shown skewed immunoglobulin (IG) repertoires in MCL, with preferential IG heavy chain (IGH) gene usage. However, large, homogeneous cohorts have not clearly linked IGHV usage or IGHV mutational status to clinical outcomes. Moreover, the interaction between biological risk factors such as TP53 aberrations and IGH repertoire is still unknown. Here, we assess the prognostic significance of IGHV repertoire after adjustment for baseline risk factors. Methods IGH clonal rearrangement analysis for minimal residual disease (MRD) was performed on bone marrow or peripheral blood samples centralized in 7 EuroMRD Network laboratories. Samples were analyzed by Sanger or amplicon-based NGS (VH-FR1/JH-3 primers) and were processed via IMGT/V-QUEST or ARResT/Interrogate to assign IGH rearrangements and germline FR1-IGHV identity. Diagnostic lymph node biopsies were assessed for p53 immunohistochemistry expression as a surrogate of TP53 alterations, scored as low (<50%) or high (≥50%). Missing baseline values were imputed by Chained Equations (MICE) model. The prognostic impact of IGHV genes and IGHV mutational status on FFS was analyzed with Kaplan-Meier curves and multivariable Cox regression adjusted for baseline prognostic factors. Results Out of the 870 enrolled patients, 560 had an available IGHV sequence for analysis. Baseline characteristics and outcomes were comparable to the remaining TRIANGLE patients and, in the selected patients, ibrutinib-containing arms had superior outcomes compared with the control arm (3y-FFS: arm A 70% vs arm A+I and I: 85%, P=0.001). The most common IGHV families were IGHV 3-21 (n=123, 22%), 4-34 (n=59, 11%) and 1-8 (n=42, 7.5%) whereas IGHD 3-3 (n=60, 11%) and IGHJ 4 (n=230, 41%) were the most frequent IGHD and IGHJ families, respectively. Univariable Cox regression focused on IGHV family usage identified the VH 3-21, 3-30, 3-48, and 3-74 genes as associated with improved FFS which were therefore grouped together, namely VHcomb patients (N=171). VHcomb patients were younger, had lower MIPI scores, and showed superior 3-year FFS compared to other families (VHother) (87% vs. 77%, P=0.002). Stratified by treatment arm, VHcomb had significantly better FFS vs. VHother in arm A (87% vs. 62%, P<0.001), but no difference was observed in ibrutinib-containing arms (87% vs. 85%, P=0.22). Interestingly, after adjusting for p53, MIPI and Ki67, VHcomb remained associated with improved FFS in arm A (Hazard ratio [HR] 0.46 [0.23-0.92], P=0.029), while no statistically significant impact was observed in arm A+I: HR 1.08 [0.55-2.13], P=0.82; but still a trend in arm I: HR 0.51 [0.23-1.13], P=0.096. Subsequently, to investigate an optimal cut-off point for FR1-IGHV gene identity, a Cox regression with restricted cubic splines was performed, identifying 97% as the best FR1-IGHV gene homology cut-off for prognostic discrimination of FFS after adjustment for MIPI, histologic subtype, Ki67, and treatment arm. Patients with FR1-IGHV gene identity > 97% (FR1-IGHV unmutated, n=448 [80%]) showed a trend towards worse FFS at later follow-up (log rank P=0.056) compared to patients with FR1-IGHV gene identity ≤ 97% (FR1-IGHV mutated, n=110 [20%]). No significant differences in FFS were observed according to FR1-IGHV mutation status after adjusting for p53, MIPI and Ki67 in multivariable analysis both in standard and ibrutinib-containing regimens. Conclusions This is the largest study investigating IGH repertoire in a prospective phase 3 trial in MCL. FR1-IGHV unmutated patients showed inferior FFS. The IGHV 3-21, 3-30, 3-48, and 3-74 rearrangements were associated with improved FFS in the chemo-immunotherapy arm, independently of p53 alterations. On the other hand, the addition of ibrutinib may potentially mitigate the prognostic impact of the IGHV families. Although requiring validation, these findings support a BCR-related prognostic role in MCL, independent from MIPI, Ki67 and p53 alterations and potentially modulated by ibrutinib.
Article Details
Authors (32)
Simone Ragaini
10Division of Hematology, Department of Molecular Biotechnologies and Health Sciences, University of Torino, Turin, Italy
Katja Gutmair
2Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), LMU University, Munich, Germany
Riccardo Moia
32Division of Hematology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
Mouhamad Khouja
2University Hospital Schleswig-Holstein (UKSH) – Campus Kiel, Department of Hematology and Oncology, Kiel, Germany
Elisa Genuardi
University of Turin, Turin, Italy
Jana Nabki
1Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale, Novara, Italy
Philipp Nakov
6University Hospital Schleswig-Holstein, Department of Internal Medicine II, Kiel, Germany
Daniela Drandi
2Università di Torino, Department of Molecular Biotechnology and Health Sciences - Hematology Division, Torino, Italy
Christa H.E. Homburg
5Department of Immunocytology, Sanquin Diagnostic Services, Amsterdam, Netherlands
Ramón García-Sanz
Paula Gameiro
7Departamento de Hematologia, Instituto Portugues de Oncologia de Lisboa, Departamento de Hematologia, Lisboa, Portugal
Eva Froňková
7Charles University and University Hospital Motol, Second Faculty of Medicine, CLIP, Department of Pediatric Hematology and Oncology, Praha, Czech Republic
Beat Schaefer
9University Children's Hospital, Zurich, Switzerland
Carlotta Montana
1Hematology Division, Department of Molecular Biotechnology and Health Sciences, University of Torino, Turin, Italy
Bashar AL Deeban
1Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale, Novara, Italy
Stephan Stilgenbauer
Division of CLL, Department of Internal Medicine III, Ulm University, Ulm, Germany
Carsten Niemann
24Department of Hematology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
Melania Celli
5Ospedale Infermi, UO Ematologia, Rimini, Italy
Jeanette Doorduijn
13Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Hematology, on behalf of the Lunenburg Lymphoma Phase I/II Consortium – HOVON/LLPC, Rotterdam, Netherlands
Gianluca Gaidano
13Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
Eva Giné
Maria da Silva
15Instituto Português de Oncologia de Lisboa, Lisbon, Portugal
Pavel Klener
Mats Jerkeman
Ulrich Mey
17Kantonsspital Graubuenden, Oncology and Hematology, for the Swiss Group for Clinical Cancer Research (SAKK), Chur, Switzerland
Eva Hoster
24Ludwig-Maximilian-University, Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Munich, Germany
Andrea Evangelista
2Unit of Clinical Epidemiology, AOU Città Della Salute E Della Scienza Di Torino and CPO Piemonte, Turin, Italy
Sílvia Beà
Martin Dreyling
LMU Hospital, Munich, Germany
Christiane Pott
6University Hospital Schleswig-Holstein, Department of Internal Medicine II, Kiel, Germany
Marco Ladetto
1University of Eastern Piedmont, Department of Translational Medicine, Novara, Italy
Simone Ferrero
University of Turin, Turin, Italy