Waldenström macroglobulinemia (WM) is a chronic indolent mature B-cell lymphoma characterized by bone marrow infiltration of lymphoplasmacytic cells and a monoclonal immunoglobulin M.1 The most frequent somatic anomaly in WM is a gain of function mutation of MYD88 (MYD88 L265P), present in 90% of WM at diagnosis leading to constitutive activation of NF-kB and JAK/STAT pathways,1 followed by 6q deletion (del6q, 30-55%)2,3 and CXCR4 gain-of-function mutations (30-40%).3 The therapy is based on chemo-immunotherapy (CIT) or Bruton tyrosine kinase inhibitors (BTKi). The numerous prognostic scores, specific of WM, did not impact the therapeutic choice in clinical practice.4,5
Based on WM and inflammatory disorder association, the prognosis impact of inflammation in WM during CIT was recently highlighted by two independent teams.6,7 In the first cohort, inflammatory syndrome (C-reactive protein [CRP] ≥20 mg/L) was present in one third of the patients.6 This inflammatory syndrome decreased during treatment but was associated with a shorter time to next treatment (TTNT, 1.6 years vs. 4.8 years; P<0.001). In the second cohort, inflammation (CRP >5 mg/L) was associated with more frequent del6q and, more frequent need for treatment initiation, inflammation decrease during CIT and a trend towards poorer progression-free survival (PFS) and overall survival (OS).7
Importantly, the outcome of inflammatory WM (iWM) was evaluated during CIT, whereas data about BTKi therapy and inflammation were lacking. Therefore, we performed a multicentric cohort to evaluate the impact of BTKi on iWM. In this real-life cohort, the inflammation positively impacts the prognosis of WM with BTKi.
The pooled cohort used in this study was based on published WM cohorts from Saint Louis6 (n=268) and Pitie-Salpetriere Hospitals (n=270)7 with the addition of a Necker cohort Hospital (n=110). MYD88 L265P and CXCR4 S338X mutations were evaluated by restriction-fragment-length polymorphism and allele-specific polymerase chain reaction or targeted next-generation sequencing, respectively, as previously described.8
iWM was defined by the presence of two CRP measures ≥20 mg/L without other causes to explain inflammatory syndrome (e.g., infection, inflammatory complication). We excluded patients without CRP measurement before treatment. The CIT cohort at second line used as control was extracted from the Saint-Louis cohort.6
The response was assessed according to the sixth International Workshop on Waldenström's Macroglobulinemia.9
Patient data were obtained in conformity with the Declaration of Helsinki and registered by the Assistance-Publique-Hôpitaux-de-Paris data protection office.
OS was defined as the time from BTKi initiation to death from all causes. PFS was defined as the time from BTKi initiation and its discontinuation for any reason (progression or toxicity) or death. TTNT was defined as the time from BTKi or CIT initiation to disease progression requiring treatment or death from any cause. All quantitative variables were described using medians (quartiles), while qualitative variables were described by frequencies (percentage). Categorical and quantitative data were compared using Fisher’s exact test and Student t test, respectively. Kaplan–Meier curves were plotted for survival, and data for the various groups were compared using the log-rank test. Maximally selected-rank statistics were used to select the best cutoff for CRP based on TTNT survival. Statistical analyses were obtained using R 4.0.4.
Among 648 WM patients from the pooled cohort, 474 (73%) WM patients received CIT including 398 (84%) with multiple CRP measures before treatment (Online Supplementary Table S1A). We confirmed the inferior outcome after CIT of iWM, defined by CRP ≥20 mg/L, based on TTNT at three levels (Online Supplementary Figure S1A) and maximally selected-rank statistics (Online Supplementary Figure S1B). CXCR4 mutation was not associated with TTNT (hazard ratio [HR] =1; 95% confidence interval [CI]: 0.65-1.6; P=0.96). iWM was associated with more del6q (49% vs. 20%; P<0.001; Online Supplementary Figure S1C) and less CXCR4 mutation than non-iWM (15% vs. 34%; P=0.02; Online Supplementary Figure S1D).
Seventy-eight WM patients who received BTKi between 2015 and 2022 were included (Figure 1A). After one exclusion for lack of CRP measurement, 42 (54%) patients were classified as iWM as previously described6 (Figure 1B). Among iWM, the median CRP before BTKi initiation was 37 mg/L (interquatile range [IQR], 26-60). The median age at WM diagnosis was 65 years (IQR, 56-73; Table 1). Median follow-up after BTKi initiation was 3.3 years (IQR, 1.7-5.9). Thirty-one (40%) patients had full characterization of MYD88/CXCR4/del6q. Ninety percent of the patients had MYD88 mutation. CXCR4 mutation was less frequent in iWM than in non-iWM (17% [4/24] vs. 50% [10/20]; P=0.04). Del6q was twice more frequent in iWM than non-iWM without reaching statistical significance (58% [14/24] vs. 33% [6/18]; P=0.19). No difference was observed for characteristics at diagnosis, first-line choice or BTKi initiation between iWM and non-iWM. Among BTKi, most patients received Ibrutinib. Half of the patients received BTKi on second line.
Concerning hematologic response, the overall response rate (ORR = partial response/very good partial response/ complete response [CR]) was superior in iWM than non-
iWM (82% vs. 52%; P=0.02; Figure 1C). Regarding the inflammation syndrome kinetic, all iWM patients who reached minimal response (MR) or better on BTKi had a nadir of CRP <20 mg/L (Figure 1D). Sixteen patients (43%) obtained normalization of CRP (<5 mg/L). In addition, 91% (34/37) obtained a 50% decrease or more in their CRP level. Among patients with B-symptoms, 82% (14/17) had regression during BTKi treatment.
Furthermore, iWM patients had better PFS than non-iWM upon BTKi treatment (Figure 2A; median: 4 years vs. 2.4 years; P=0.0025). The leading cause of BTKi discontinuation was progression for non-iWM (n=11, 51%) and BTKi toxicity for iWM (n=8, 47%; Table 1). The cumulative incidence of progression was superior for non-iWM than iWM (4years: 43% vs. 21%; P=0.05; Figure 2B). There was no difference in discontinuation due to BTKi toxicity between non-iWM and iWM (4 years: 37% vs. 34%; P=0.11). Also, the TTNT survival was superior for iWM than non-iWM (median: 4 vs. 2.6 years; P=0.008; Figure 2C). TTNT survival and maximally selected rank statistics confirmed the relevance of the 20 mg/L CRP cutoff (Online Supplementary Figure 2A, B). In univariate analysis, TTNT was associated positively with inflammatory syndrome (HR=0.43; 95% CI: 0.22-0.81; P=0.01), negatively with CXCR4 mutations (HR=3.8; 95% CI: 1.5-9.6; P=0.01) and platelets <100x109/L (HR=2.38; 95% CI: 1.02-5.55; P=0.044; Online Supplementary Table 1B). Del6q was not associated with TTNT (HR=1.3; 95% CI: 0.49-3.4; P=0.60). Multivariate analysis was not performed because of a low number of events (n=18). No difference was observed for OS (4 years: 75% vs. 66%; P=0.15; Online Supplementary Figure 2C).
In order to evaluate the impact of inflammation in the current recommendation of BTKi in second line, TTNT survival analysis was performed with a focus on the second line of treatment (CIT or BTKi) between iWM and non-iWM (Figure 2D; P=0.012). No difference was observed for demographic/disease characteristics between BTKi and CIT cohorts (data not shown). Among patients receiving CIT at second line, most patients received alkylating agents +/- rituximab (55%) followed by chlorambucil (22%). iWM treated with BTKi (51% at 4 years) had better survival than BTKi treated non-IWM (22%), whereas 4-year survival in patients treated with CIT was 16% in iWM and 29% in non-iWM.
To the best of our knowledge, this is the first study evaluating inflammation and response to BTKi in WM. We validated a cutoff of 20 mg/L of CRP for iWM definition and the association with poorer outcomes after CIT. However, we showed here that iWM with BTKi treatment had better hematological response and TTNT than non-iWM. In addition, the inflammatory syndrome decreased during the hematological response in BTKi-treated iWM. Several explanations could exist for these improved hematological response and survival. First, reduced inflammation via decreased pro-inflammatory cytokines after BTKi was described for SARS-COV-2,10 chronic graft-versus-host disease11 and Schnitzler syndrome.12 Second, BTK is expressed by malignant B cells13 but also by macrophages or monocytes.14 We can hypothesize that decreased inflammation mediated by BTKi might be related to the action on tumoral cells15 and/or microenvironment.14 Also, 6q chromosome contains an inhibitor of BTK.3 Deletion of 6q, more frequent in iWM, could thus lead to BTK activation, corrected by BTKi treatment. CXCR4 mutation was less frequent in iWM than non-iWM (17% vs. 50%) and could explain a part of differential prognosis to BTKi. Additional study about the inflammation origin in WM would be required to understand BTKi action in iWM. One limit of our study is the small sample size for genetic analysis that limits the evaluation of interaction between CXCR4 mutation, del6q and inflammation. CXCR4 especially with high clonality (>25%), is the main adverse factor during BTKi therapy in WM.16,17 Related to the partial evaluation of CXCR4 mutation (52% of the cohort) without any clonality analysis, additional studies are necessary to evaluate CXCR4 mutation and inflammation prognosis role independently. Nevertheless, assessment of CRP could be easier, quicker and cheaper to perform than evaluation of CXCR4 mutational status and clonality analysis on bone marrow samples. Also, the retrospective design of our study is a limit, and we will need to confirm our findings in prospective large multicentric cohorts but also to reanalyze clinical trials of BTKi in WM in light of our results.16
In summary, inflammation appears to have a positive impact on the clinical outcome of WM patients on BTKi therapy. Thus, this study supports the use of BTKi in patients with iWM. On the other hand, inflammation could represent a novel biomarker for predicting the effects of BTKi in WM patients that can be easily and quickly evaluated in prospective cohorts and clinical trials.
Footnotes
- Received March 16, 2023
- Accepted August 7, 2023
Correspondence
Disclosures
No conflicts of interest to disclose.
Contributions
P-ED, BA, DRW, ME and KB developed the concept and designed the study. P-ED, NF, DE, SH, BR, LF, MC, FD, FNK, WC, CB, GL, SK, OH, DRW and BA collected and assembled data. P-ED, BA, AT, DRW, OH, ME and KB analyzed and interpreted data. P-ED, NF, DE, SH, BR, LF, DRW, MC, OH, AT and BA took care of patients. P-ED, AT, DRW, BA, ME and KB wrote the article. All authors read and approved the final version of this manuscript.
Data-sharing statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Funding
Acknowledgments
The authors thank the patients with WM and their families. The authors thank the nurses and physicians who cared for these patients and their families.
References
- Quintanilla-Martinez L. The 2016 updated WHO classification of lymphoid neoplasias. Hematol Oncol. 2017; 35(Suppl 1):S137-45. Google Scholar
- Nguyen-Khac F, Lambert J, Chapiro E. Chromosomal aberrations and their prognostic value in a series of 174 untreated patients with Waldenström’s macroglobulinemia. Haematologica. 2013; 98(4):649-654. Google Scholar
- Guerrera ML, Tsakmaklis N, Xu L. MYD88 mutated and wild-type Waldenström’s Macroglobulinemia: characterization of chromosome 6q gene losses and their mutual exclusivity with mutations in CXCR4. Haematologica. 2018; 103(9):e408-e411. Google Scholar
- Morel P, Duhamel A, Gobbi P. International prognostic scoring system for Waldenstrom macroglobulinemia. Blood. 2009; 113(18):4163-4170. Google Scholar
- Kastritis E, Morel P, Duhamel A. A revised international prognostic score system for Waldenström’s macroglobulinemia. Leukemia. 2019; 33(11):2654-2661. Google Scholar
- Elessa D, Debureaux P, Villesuzanne C. Inflammatory Waldenström’s macroglobulinaemia: a French monocentric retrospective study of 67 patients. Br J Haematol. 2022; 197(6):728-735. Google Scholar
- Forgeard N, Baron M, Caron J. Inflammation in Waldenström macroglobulinemia is associated with 6q deletion and need for treatment initiation. Haematologica. 2022; 107(11):2720-2724. Google Scholar
- Krzisch D, Guedes N, Boccon-Gibod C. Cytogenetic and molecular abnormalities in Waldenström’s macroglobulinemia patients: correlations and prognostic impact. Am J Hematol. 2021; 96(12):1569-1579. Google Scholar
- Owen RG, Kyle RA, Stone MJ. Response assessment in Waldenström macroglobulinaemia: update from the VIth International Workshop. Br J Haematol. 2013; 160(2):171-176. Google Scholar
- Treon SP, Castillo JJ, Skarbnik AP. The BTK inhibitor ibrutinib may protect against pulmonary injury in COVID-19– infected patients. Blood. 2020; 135(21):1912-1915. Google Scholar
- Miklos D, Cutler CS, Arora M. Ibrutinib for chronic graft-versus-host disease after failure of prior therapy. Blood. 2017; 130(21):2243-2250. Google Scholar
- Claves F, Siest R, Lefebvre C, Valmary-Degano S, Carras S. Dramatic efficacy of ibrutinib in a Schnitzler syndrome case with Indolent lymphoma. J Clin Immunol. 2021; 41(6):1380-1383. Google Scholar
- Castillo JJ, Buske C, Trotman J, Sarosiek S, Treon SP. Bruton tyrosine kinase inhibitors in the management of Waldenström macroglobulinemia. Am J Hematol. 2023; 98(2):338-347. Google Scholar
- Liu X, Pichulik T, Wolz O-O. Human NACHT, LRR, and PYD domain–containing protein 3 (NLRP3) inflammasome activity is regulated by and potentially targetable through Bruton tyrosine kinase. J Allergy Clin Immunol. 2017; 140(4):1054-1067. Google Scholar
- Hodge LS, Ziesmer SC, Yang Z-Z, Secreto FJ, Novak AJ, Ansell SM. Constitutive activation of STAT5A and STAT5B regulates IgM secretion in Waldenström’s macroglobulinemia. Blood. 2014; 123(7):1055-1058. Google Scholar
- Buske C, Tedeschi A, Trotman J. Five-year follow-up of ibrutinib plus rituximab vs placebo plus rituximab for Waldenstrom’s macroglobulinemia: final analysis from the randomized phase 3 INNOVATE study. Blood. 2020; 136(Suppl 1):S24-26. Google Scholar
- Gustine JN, Xu L, Tsakmaklis N. CXCR4S338X clonality is an important determinant of ibrutinib outcomes in patients with Waldenström macroglobulinemia. Blood Adv. 2019; 3(19):2800-2803. Google Scholar
Data Supplements
Figures & Tables
Article Information
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.