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. 2022 Oct 29;37(1):212–216. doi: 10.1038/s41375-022-01737-4

Clinical characteristics and outcomes of B-cell precursor ALL with MEF2D rearrangements: a retrospective study by the Ponte di Legno Childhood ALL Working Group

Kentaro Ohki 1, Ellie R Butler 2, Nobutaka Kiyokawa 1, Shinsuke Hirabayashi 3, Anke K Bergmann 4, Anja Möricke 5, Judith M Boer 6,7, Hélène Cavé 8, Giovanni Cazzaniga 9,10, Allen Eng Juh Yeoh 11, Masashi Sanada 12, Toshihiko Imamura 13, Hiroto Inaba 14, Charles G Mullighan 15, Mignon L Loh 16, Ulrika Norén-Nyström 17, Lee-Yung Shih 18, Marketa Zaliova 19, Ching-Hon Pui 14, Oskar A Haas 20, Christine J Harrison 2, Anthony V Moorman 2, Atsushi Manabe 3,
PMCID: PMC9883149  PMID: 36309560

To the Editor:

B-cell precursor acute lymphoblastic leukemia (BCP-ALL) comprises multiple genetic subtypes with strong prognostic associations. The outcome of patients with high-risk genetics improves with risk stratification or targeted therapy [1, 2]. Therefore, it is important to assess the prognostic impact of newly identified genetic abnormalities to ensure appropriate clinical intervention. Recent studies have identified MEF2D rearrangements (MEF2D-r) in 2–3% cases and initial observations, based on small numbers of cases, indicate that patients have a poor outcome [37]. MEF2D-r are characterized by fusion of an N-terminal region of MEF2D to the C-terminal region of multiple, different partner genes [38]. As there are limited data available concerning the prognostic impact of MEF2D-r in ALL, we conducted an international study via the Ponto di Legno Childhood Leukemia Working Group to describe the clinical characteristics and outcome of patients with BCP-ALL and MEF2D-r.

Demographic, clinical, treatment, genetics and outcome data were collected from 14 regional study groups (Supplementary Table 1). Patients were diagnosed between 1987 and 2018 and MEF2D-r were detected retrospectively, using a range of techniques (Supplementary Table 2). The majority of cases [97/107(91%)] were identified by screening diagnostic samples from representative cohorts of B-other-ALL (i.e. patients lacking an established genetic abnormality). Additional cases were identified among relapse patients and/or in relapse samples. These cases were excluded from the survival analysis (n = 10). We considered three endpoints: relapse rate (RR), event-free survival (EFS) and overall survival (OS), using the Kaplan-Meier method, log-rank test and Cox regression models, retrospectively, as previously described [9]. All rates are quoted at 5 years.

Among 107 MEF2D-r patients, there was female predominance (66:41) with a median age of 10.67 years (Table 1). A quarter of patients had diagnostic peripheral blood white blood cell (WBC) counts >50,000/μl, which, coupled with the older age, resulted in 70% (60/98) being classified as National Cancer Institute (NCI) high risk. Data on antigen expression were available for 91 of the 107 cases. Different panels were used so the amount of data was variable for each antigen (Supplementary Table 3). Cases distributed evenly across EGIL groups: pro-B, pre-B, late pre-B. HLA-DR, cytoplasmic immunoglobulin μ chain, CD45, CD22 and CD19 were commonly expressed (>80% tested cases). CD10 and CD5 were expressed in 65% and 56% tested cases, respectively. None of the other tested antigens (CD2, CD3, CD7, CD13, CD20, CD33, CD34 and CD66c) were expressed in >20% tested cases. Unfortunately, data were unavailable for CD38 expression, which has reported to be a feature of MEF2D-r [38]. Although we did not include a comparator cohort, we confirmed the distinct features associated with MEF2D-r reported in smaller studies [38]. Namely female sex, older age, common expression of cytoplasmic immunoglobulin μ chain and CD5, and less frequent expression of CD10.

Table 1.

Demographic and outcome features of patients with BCP-ALL and a MEF2D rearrangement stratified by partner gene.

Total BCL9 HNRNPUL1 p valuea BCL9 v HNRNPUL1 Otherb p valuea BCL9 v HNRNPUL1 v other Missing
Total, n (%) 107 (100) 37 (54) 22 (32) 10 (14) 38
Sex, n (%)
    Male 41 (38) 13 (35) 11 (50) 0.3 2 (20) 0.2 15 (39)
    Female 66 (62) 24 (65) 11 (50) 8 (80) 23 (61)
Age at initial diagnosis(years)
    Median 10.67 9.48 9.09 8.91 12.00
    1–9 40 (42) 16 (53) 11 (52) 0.2 5 (50) 0.2 8 (23)
    10–14 41 (43) 8 (27) 9 (43) 5 (50) 19 (54)
    15–18 15 (16) 6 (20) 1 (5) 0 (0) 8 (23)
    Unknown/Missing 11 7 1 0 3
WBC Count (106/L) at diagnosis
    <50,000 78 (74) 26 (72) 20 (91) 0.09 5 (50) 0.04 27 (71)
    >50,000 28 (26) 10 (28) 2 (9) 5 (50) 11 (29)
    Unknown/Missing 1 1 0 0 0
NCI risk group at diagnosis
    Standard risk 29 (30) 11 (35) 10 (48) 0.4 3 (30) 0.6 5 (14)
    High risk 69 (70) 20 (65) 11 (52) 7 (70) 31 (86)
    Missing 9 6 1 0 2
CNS disease at diagnosis (CNS3)
Yes 4 (4) 0 (0) 1 (6) 0.4 1 (11) 0.3 2 (6)
No 85 (96) 27 (100) 17 (94) 8 (89) 33 (94)
Unknown/Missing 18 10 4 1 3
Year of Diagnosis
    1992–2007 52 (49) 15 (41) 9 (41) 0.9 6 (60) 0.5 22 (58)
    2008–2018 55 (51) 22 (59) 13 (59) 4 (40) 16 (42)
Race
    Asian 29 (45) 14 (61) 12 (75) 0.4 3 (60) 0.6 0 (0)
    White 28 (43) 7 (30) 2 (13) 2 (40) 17 (81)
    Other 8 (12) 2 (9) 2 (13) 0 (0) 4 (19)
    Unknown/Missing 42 14 6 5 17
Treatment risk groups
    Non-high risk 60 (56) 23 (62) 15 (68) 0.4 8 (80) 0.6 14
    High risk 47 (44) 14 (38) 7 (32) 2 (20) 24
Minimal residual disease at end of induction
    Positive (≥0.01%) 2 (7) 1 (9) 0 (0) 0.4 1 (25) 0.4 0 (0)
    Negative (<0.01%) 26 (93) 10 (91) 6 (100) 3 (75) 7 (100)
    Unknown/Missing 79 26 16 6 31
Stem cell transplant Received
    Yes 2 (3) 2 (6) 0 (0) 0.2 0 (0) 0.4 0 (0)
    No 73 (97) 31 (4) 22 (100) 8 (100) 38 (100)
    Unknown/missing 32 3 0 2 26
Outcome analysis
    Cases includedc 95 (100) 33 (55) 18 (30) 9 (15) 35
    Median followup (years) 6.73 6.16 6.75 0.7 5.79 0.6/0.7d 6.97
5 years survival, % (95% CI)
    Relapse rate 24% (16–35) 32% (18–53) 6% (1–37) 0.07 13% (2–61) 0.2 29% (16–48)
    Event-free 74% (63–82) 65% (45–80) 94% (63–99) 0.05 88% (39–98) 0.1 68% (49–82)
    Overall 81% (71–88) 76% (55–88) 94% (63–99) 0.2 88% (39–98) 0.3 78% (59–89)
Site of relapse
    Bone marrow (BM) 13 (68) 7 (78) 1 (100) 0.9 1 (50) 0.9 4
    BM + CNS 2 (11) 1 (11) 0 (0) 1 (50) 1
    CNS 3 (16) 1 (11) 0 (0) 0 (0) 2
    Other 1 (5) 0 (0) 0 (0) 0 (0) 1
    Missing 2 0 0 1 1
Univariate Cox Model (hazard ratio (95% confidence interval), p value)
    Relapse 1 0.18 (0.02–1.43) 0.1
    Event 1 0.16 (0.02–1.28) 0.09
    Death 1 0.24 (0.03–1.97) 0.2

aP values are from Chi-squared test, t-test, log rank test or Cox regression model as appropriate.

bThe other group includes 4 cases of FOXJ2 and 1 case each of BCL9L, HNRNPH1, PYGO2, SS18; plus two cases of CSFR1.

cTwelve patients were excluded because they had missing data (n = 2), had been selected for screening because they had relapsed or had refractory disease (n = 7) or the fusion had only be detected at relapse (n = 3).

dBCL9 v Other and HNRNPUL1 v Other.

Information on the fusion partner gene was available for 69/107 (64%) patients. MEF2D::BCL9 and MEF2D::HNRNPUL1 were the most common fusions, detected in 37 and 22 cases, respectively; together accounting for 85% cases. Other partner genes were identified as follows: FOXJ2 (n = 4, 6%), CSF1R (n = 2, 3%), and single cases of HNRNPH1, PYGO2, BCL9L, and SS18. The partner gene was not determined in the remaining 38 cases due to lack of suitable material or unavailability of a relevant technique. There were no statistical differences in the distribution of age, NCI risk group, ethnicity, or leukocyte count according to partner gene (Table 1). Due to lack of data, we are unable to confirm a recent observation, showing that black patients had a higher incidence of MEF2D-r [10]. The distinctive antigen profile associated with MEF2D-r (cytoplasmic immunoglobulin μ chain and CD5) was consistent in cases with different partner genes. However, patients with MEF2D::HNRNPUL1 were significantly more likely to express CD10 compared to patients with MEF2D::BCL9 [18/20(90%) v 17/32(53%), p = 0.007) and be late pre-B [11/18(61%) v 8/31(26%), p = 0.016] (Supplementary Table 3).

Approximately 60% cases were tested by MLPA/SNP arrays for deletions affecting IKZF1, PAX5, CDKN2A/B, and ETV6, whilst a smaller number were screened for mutations in NRAS/KRAS, FLT3, NOTCH1, FBXW7 and PHF6 (Supplementary Table 4). The most common secondary abnormality was CDKN2A/B deletion, occurring in 48/68 (71%) cases. PAX5, also located to 9p, was co-deleted in 12 cases. IKZF1 deletions and NRAS/KRAS mutations were rare, occurring in ≤10% cases. As previously noted, the frequency of PHF6 mutations, usually associated with T-ALL, was high (25%) [7]. There was little evidence that the frequency of secondary copy number alterations or mutations varied in relation to partner gene. However, 0/18 cases with MEF2D::HNRNPUL1 carried a PAX5 deletion. The spectrum of secondary alterations in MEF2D-r patients was not typical of B-other-ALL. The proportion of patients with CDKN2A/B deletions was much higher than expected, whilst the frequency of IKZF1 deletions was lower [11].

Outcome data for 95 patients with MEF2D-r was available for analysis (Table 1). All patients achieved a complete hematological remission and 26/28 (93%) cases tested were MRD negative (<0.01%) at the end of remission induction therapy. Despite this good early response, 39/95 (44%) cases were treated on the high-risk protocols of each study group, likely reflecting the observation that most patients were NCI high-risk. Very few patients (2 of 75, 3%) received a hematopoietic stem cell transplant, consistent with 90% cases being MRD negative at the end of induction. After a median follow-up time of 6.73 years, the EFS rate was 74% (63%–82%) with corresponding relapse and survival rates (Table 1). The majority of relapses (79%) involved bone marrow. There was no significant difference in EFS by NCI risk status, treatment period (pre- and post- 2008) or race (white vs Asian) (Fig. 1, Supplementary Table 5). Our cohort was incomplete for data on race in terms of both classification and numbers of cases, so only very large differences in outcome would be detectable.

Fig. 1. Event free survival of patients with B-cell precursor ALL and MEF2D rearrangements stratified by partner gene, period of diagnosis, NCI risk group and ethnicity.

Fig. 1

All event free survival rates are quoted at 5 years with accompanying 95% Confidence Intervals. HR hazard ratio, NCI National Cancer Institute.

Patients with MEF2D::HRNPUL1 had an EFS of 94% (95% CI 63–99), which was numerically, but not statistically significantly, higher than the EFS for patients with MEF2D::BCL9 − 65% (95% 45–80) (log rank test p = 0.05). A univariate Cox model comparing the risk of an event among MEF2D::HRNPUL1 cases with MEF2D::BCL9 cases revealed a hazard ratio of 0.16 (95% CI 0.02–1.28), p = 0.09 (Table 1). The trend towards a better outcome for patients with MEF2D::HRNPUL1 correlated with the high frequency CD10 expression and proportion of late pre-B cases in this subtype. Both factors were also linked with better outcome: CD10 expression (yes v no) EFS 83% (95% 64–93) v 57% (27–78), log-rank p = 0.04; late pre-B v pro-B/pre-B 94% (63–99) v 63% (41–78) log-rank p = 0.03. Nine of 33 patients with MEF2D::BCL9 relapsed with a median time to relapse of 20 months. Only 1/18 patients with MEF2D::HRNPUL1 relapsed. CD5 expression was highest among patients with MEF2D::BCL9 (64%) but there was no difference in outcome between patients expressing and not expressing CD5: EFS 64% (95% 36–82) v 79% (47–93), log rank test p = 0.3. Our ability to examine the prognostic effect of secondary abnormalities was limited both by the number of cases tested, as well as the rarity of recurrent abnormalities. However, there was no significant prognostic effect of the presence of either CDKN2A/B or PAX5 deletions (log rank p values >0.2 for all three endpoints).

Previous studies, based on small numbers of cases, have reported the therapeutic outcome of MEF2D-r BCP-ALL to be unfavorable. For example, analysis of NCI-high risk children enrolled on AALL0232 showed that 20 MEF2D-r cases belonged to the group with EFS of 72%, which was comparable to BCR::ABL1 (60%), KMT2A-r (78%) and Ph-like (60%), but lower than other BCP-ALL cases (87%) [6]. In the TCCSG L04‑16 Study, the EFS and OS rates for BCP-ALL patients was 80% and 92%, respectively, but 50% and 56% respectively for MEF2D-r cases [7]. The major strength of this study is that it collected a large, well-annotated cohort of MEF2D-r cases. Although the patients were not uniformly treated, they did not exhibit significant outcome heterogeneity by era or NCI risk status. In this study, 24% patients had relapsed and the EFS was 74%, indicating the therapeutic outcome of MEF2D-r, whilst not extremely poor, was lower than expected for patients with intermediate risk genetics. In this study, patients with MEF2D::BCL9 had an EFS of 65%, close to the rates reported in AALL0232 and TCCSG L04-16 studies that were predominantly based on MEF2D::BCL9 cases. In contrast, only 6% (n = 1) of MEF2D::HNRNPUL1 cases in this study had relapsed within 5 years and the EFS was 94%. There was no difference in the distribution or outcome of MEF2D::HNRNPUL1 or MEF2D::BCL9 patients by NCI risk status. Although a direct comparison of the outcome of patients with MEF2D::HNRNPUL1 or MEF2D::BCL9 did not reach statistical significance, the large numerical differences in relapse and EFS do indicate outcome heterogeneity according to partner gene.

In conclusion, this retrospective multi-center study confirmed that MEF2D fusions are associated with female sex, older age and atypical immunophenotype. The most common fusion partners were BCL9 and HNRNPUL1, accounting for >80% cases. We have confirmed previous studies that suggest a high risk of relapse for patients with MEF2D::BCL9 fusions, but we could not confirm that this poor outcome extended to patients with other MEF2D partners.

Supplementary information

Supplementary Tables (26.4KB, xlsx)

Acknowledgements

Research support: We acknowledge funding from Clinical Cancer Research from the Ministry of Health, Labour and Welfare, Japan; Japan Agency for Medical Research and Development (AMED), Japan; Blood Cancer UK (15036); National Cancer Institute (CA021765), US; Czech Health Research Council project NU20-07-00322; ERA-NET TRANSCAN EJC granted by Foundation ARC, France; Center for Biological Resources (CRB-cancer; BB-0033-00076), Robert Debré Hospital, France; Oncode Institute and KiKa Foundation, Netherlands; American and Lebanese Syrian Associated Charities of St. Jude Children’s Research Hospital (HI, CGM, C-HP), US National Cancer Institute R35 CA297695 (CGM). We thank the following additional study group members for their support. AIEOP: Valentino Conter, Andrea Biondi; Polish ALIC: Wojciech Mlynarski; BFM-A: Georg Mann, Andishe Attarbaschi, Karin Nebral, Sabine Strehl and Dagmar Schinnerl; BFM-G/CH: Martin Schrappe; COG: Stephen Hunger; DCOG: Rob Pieters; JACLS: Junichi Hara, Keizo Horibe; NOPHO: Kjeld Schmiegelow, Mats Heyman; TCCSG: Akira Ohara, Katsuyoshi Koh; TPOG: His-Che Liu; CLIP: Jan Stary; UKALL: Ajay Vora, Claire Schwab; SFCE: Chloé Arfeuille, Aurélie Caye-Eude, André Baruchel, Yves Bertrand, Pierre Rohrlich, Marion Strullu.

Author contributions

Conception and design: SH, AVM and AM. Collection of data: all authors. Data analysis and interpretation: SH, EB, AVM and AM. Statistics: EB and AVM, Manuscript writing and final approval: all authors.

Data availability

The datasets generated during and/or analyzed during the current study are available from the Ponte di Legno Childhood ALL Working Group via the corresponding author on reasonable request.

Competing interests

CGM: Research support from Loxo, Abbvie, Pfizer. Consulting and speaking fees from Amgen, Illumina. C-HP received consulting and speaker fees from Amgen, Erytech Phamra, and Servier. HI received a research grant from Servier. AVM: Honoria for speaking from Amgen.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

The online version contains supplementary material available at 10.1038/s41375-022-01737-4.

References

  • 1.Moorman AV, Antony G, Wade R, Butler ER, Enshaei A, Harrison CJ, et al. Time to cure for childhood and young adult acute lymphoblastic leukemia is independent of early risk factors: long-term follow-up of the UKALL2003 trial. J Clin Oncol. 2022;JCO2200245. 10.1200/JCO.22.00245. Online ahead of print. [DOI] [PubMed]
  • 2.Moorman AV, Schwab C, Winterman E, Hancock J, Castleton A, Cummins M, et al. Adjuvant tyrosine kinase inhibitor therapy improves outcome for children and adolescents with acute lymphoblastic leukaemia who have an ABL-class fusion. Br J Haematol. 2020;191:844–51. doi: 10.1111/bjh.17093. [DOI] [PubMed] [Google Scholar]
  • 3.Suzuki K, Okuno Y, Kawashima N, Muramatsu H, Okuno T, Wang X, et al. MEF2D-BCL9 fusion gene is associated with high-risk acute B-cell precursor lymphoblastic leukemia in adolescents. J Clin Oncol. 2016;34:3451–9. doi: 10.1200/JCO.2016.66.5547. [DOI] [PubMed] [Google Scholar]
  • 4.Liu YF, Wang BY, Zhang WN, Huang JY, Li BS, Zhang M, et al. Genomic profiling of adult and pediatric B-cell acute lymphoblastic leukemia. EBioMedicine. 2016;8:173–83. doi: 10.1016/j.ebiom.2016.04.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Yasuda T, Tsuzuki S, Kawazu M, Hayakawa F, Kojima S, Ueno T, et al. Recurrent DUX4 fusions in B cell acute lymphoblastic leukemia of adolescents and young adults. Nat Genet. 2016;48:569–74. doi: 10.1038/ng.3535. [DOI] [PubMed] [Google Scholar]
  • 6.Gu Z, Churchman M, Roberts K, Li Y, Liu Y, Harvey RC, et al. Genomic analyses identify recurrent MEF2D fusions in acute lymphoblastic leukaemia. Nat Commun. 2016;7:13331. doi: 10.1038/ncomms13331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Ohki K, Kiyokawa N, Saito Y, Hirabayashi S, Nakabayashi K, Ichikawa H, et al. Clinical and molecular characteristics of MEF2D fusion-positive B-cell precursor acute lymphoblastic leukemia in childhood, including a novel translocation resulting in MEF2D-HNRNPH1 gene fusion. Haematologica. 2019;104:128–37. doi: 10.3324/haematol.2017.186320. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Zaliova M, Stuchly J, Winkowska L, Musilova A, Fiser K, Slamova M, et al. Genomic landscape of pediatric B-other acute lymphoblastic leukemia in a consecutive European cohort. Haematologica. 2019;104:1396–406. doi: 10.3324/haematol.2018.204974. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Hirabayashi S, Butler ER, Ohki K, Kiyokawa N, Bergmann AK, Möricke A, et al. Clinical characteristics and outcomes of B-ALL with ZNF384 rearrangements: a retrospective analysis by the Ponte di Legno Childhood ALL Working Group. Leukemia. 2021;35:3272–7. doi: 10.1038/s41375-021-01199-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Lee SHR, Antillon-Klussmann F, Pei D, Yang W, Roberts KG, Li Z, et al. Association of genetic ancestry with the molecular subtypes and prognosis of childhood acute lymphoblastic leukemia. JAMA Oncol. 2022;8:354–63. doi: 10.1001/jamaoncol.2021.6826. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Moorman AV, Enshaei A, Schwab C, Wade R, Chilton L, Elliott A, et al. A novel integrated cytogenetic and genomic classification refines risk stratification in pediatric acute lymphoblastic leukemia. Blood. 2014;124:1434–44. doi: 10.1182/blood-2014-03-562918. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Tables (26.4KB, xlsx)

Data Availability Statement

The datasets generated during and/or analyzed during the current study are available from the Ponte di Legno Childhood ALL Working Group via the corresponding author on reasonable request.


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