Skip to main content
Download PDF

EZH2 mutations at diagnosis in follicular lymphoma: a promising biomarker to guide frontline treatment

BMC Cancer volume 22, Article number: 982 (2022) Cite this article

A Correction to this article was published on 28 November 2022

This article has been updated

Abstract

EZH2 is mutated in nearly 25% of follicular lymphoma (FL) cases. Little is known about how EZH2 affects patients’ response to therapy. In this context, the aim of this study was to retrospectively analyze the frequency of mutations in EZH2 at diagnosis in tissue and ctDNA in patients with FL and to assess the patients’ outcomes after receiving immunochemotherapy, depending on the EZH2 mutation status. Among the 154 patients included in the study, 27% had mutated EZH2 (46% with high-grade and 26% with low-grade FL). Of the mutated tissue samples, the mutation in ctDNA was identified in 44% of cases. EZH2 mutation in ctDNA was not identified in any patient unmutated in the tissue.

Unmutated patients who received R-CHOP had significantly more relapses than patients who received R-Bendamustine (16/49 vs. 2/23, p = 0.040). Furthermore, our results show that patients with mutated EZH2 treated with R-CHOP vs. those treated with R-Bendamustine present a lower incidence of relapse (10% vs. 42% p = 0.09 at 4 years), a higher PFS (92% vs. 40% p = 0.039 at 4 years), and higher OS (100% vs. 78% p = 0.039 at 4 years). Based on these data, RCHOP could be a more suitable regimen for mutated patients, and R-bendamustine for unmutated patients. These findings could mean the first-time identification of a useful biomarker to guide upfront therapy in FL.

Peer Review reports

Introduction

Follicular lymphoma (FL) is the second most common type of lymphoma diagnosed in Spain [1] and the United States [2], representing approximately 32% of all non-Hodgkin lymphomas (NHLs), and two thirds of indolent lymphomas. It is a germinal center origin disease, and nearly 90% of patients present translocation t(14;18) [3]. Chromatin modifying gene mutations (KMT2D, CREBBP, EZH2) are a common feature of FL [4]. It is characterized by an indolent course with a median overall survival (OS) beyond 10 years [5]. However, FL remains an incurable hematological malignancy with a characteristic course of multiple relapses, and with heterogeneous clinical behaviour, since about 20% of patients suffer from a rapid disease after treatment or a histological transformation to aggressive lymphoma (2% of patients per year) and a poor prognosis [6, 7].

The decision of therapy is strongly determined by the stage of the disease, the tumor burden, and the symptoms. In this sense, the most widely used tools for risk stratification, such as the Follicular Lymphoma International Prognostic Index (FLIPI) [8], and the PRIMA-prognostic index (PRIMA-PI) [9], m7-FLIPI [10], are not useful for selecting the best treatment strategy [11]. For localized disease, therapy options include radiotherapy [12], radiotherapy combined with immunochemotherapy [13], and observation without treatment, also known as watch & wait (W&W) strategy [14, 15]. Patients with advanced stage do not require immediate treatment, unless they have symptomatic or bulky, and are commonly observed under W&W strategy [16, 17] or may receive rituximab monotherapy [16, 18]. For advanced disease and high tumor burden, chemoimmunotherapy is the best option if GELF criteria are met [19, 20]. The most common chemoimmunotherapies used in combination with rituximab are cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) [21], Bendamustine, or cyclophosphamide, vincristine, and prednisone (CVP) [22]. R-CHOP and R-Bendamustine (RB) have been compared in two different non-inferiority phase III clinical trials. Patients treated with RB presented a higher PFS but OS was similar to patients treated with R-CHOP [20, 23, 24]. Until today, the choice between one scheme or the other depends on the choice of the physician, or the centre’s protocols. Other anti-CD20 monoclonal antibodies, like Obinutuzumab, have been evaluated in combinations with Bendamustine or CHOP, and are also an option [25]. Patients with more aggressive lymphoma, such as histologically grade 3b or transformed, need to be treated as diffuse large B cell lymphoma with combinations including anthracyclines [20, 26].

In the past few years, next generation sequencing (NGS) has allowed us to approach the understanding of the genomic landscape and to discover more common mutations in FL, clarifying the lymphomagenesis mechanism, including epigenetic dysregulation [27]. Furthermore, this molecular approach has allowed for the establishment of a clinic-genetic risk model (m7-FLIPI), which includes the mutational status of seven genes [10]. This model includes the gene EZH2, which encodes the catalytic subunit of Polycomb repressor complex (PCR2) and mediates methylation of Lys27 residue of histone H3 (H3K27) [28, 29]. Missense mutations in EZH2 lead to decreased transcriptional function of genes involved in cell cycle regulation and plasma cell differentiation, contributing to oncogenic transformation [4, 27, 28]. Mutated EZH2 has been detected in nearly 25% of FL cases in tissue samples [30,31,32,33,34], but also could be analysed in cell tumor DNA (ctDNA) [35,36,37,38]. Although little is known about how EZH2 affects patients’ response to therapy, Pastore et colleagues concluded that patients harboring EZH2 were more likely to have better outcomes after most used R-CHOP [10]. Recently, in the 61st American Society of Hematology, Jurinovic et colleagues [39] considered EZH2 one of the genes with higher impact in the m7-FLIPI when they assessed this risk model in patients treated with anti-CD20 combined with CHOP or bendamustine within the GALLIUM trial. These authors showed that patients who harbored mutated EZH2 could benefit more from CHOP/CVP in combination with rituximab. These results also suggest that EZH2 may have a predictive role in the selection of the chemoimmunotherapy for patients with FL.

In this context, the aim of this study was to retrospectively analyze, in a real-world setting, the frequency of mutations in EZH2 at diagnosis in tissue and ctDNA in patients with FL and assess the patients’ outcomes with different upfront immune-chemotherapies, depending on the EZH2 mutation status.

Material and methods

Patient samples

A total of 179 consecutive FL cases, diagnosed between 2002 and 2019 at the Department of Hematology, Gregorio Maranon General University Hospital, were included. Twenty-five out of 179 patients were excluded due to insufficient DNA quantity or quality or previous cancer. One hundred and fifty-four patients with histologically confirmed grade 1, 2, 3a or 3b FL, according to WHO classification and sufficient tissue available at diagnosis for DNA isolation, were eligible. Of the 154 patients analyzed, 39 had plasma samples at diagnosis or prior to treatment. Eligible patients were divided according to their grade of FL into low-grade FL (n = 141) (grades 1, 2 and 3a) and high-grade FL (n = 13) (grade 3b). Only high tumor burden patients that met criteria for treatment were included in the efficacy analysis. The study protocol was approved by the Ethical Committee of Gregorio Maranon General University Hospital (reference number HGM-EZH2-LF-2021) and all patients signed the informed consent document. All methods were performed in accordance with the relevant guidelines and regulations.

Clinical characteristics, therapy, and outcome were collected and shown in Tables 1 and 2 (grade 1, 2 and 3A) and 3 (grade 3B).

Table 1 Clinical characteristics, immunohistochemical and molecular markers available of patients with grade 1, 2 and 3A
Full size table
Table 2 Clinical characteristics, immunohistochemical and molecular markers available and response to therapy of patients with grade 3B
Full size table

Genetic analysis

DNA was extracted from tissue biopsies using Maxwell(R) 16 FFPE Plus LEV DNA Purification Kit (Promega) or GeneRead DNA FFPE Kit (Qiagen). Cell free DNA was isolated from plasma samples using QIAamp® Circulating Nucleic Acid (Qiagen). Mutations in DNA tissue was performed by Sanger sequencing (ABI3130xl DNA sequencer) (n = 139) (Supplementary Table 1) and 15 patients using a capture-based targeted commercial panel of 54 genes (Lymphoma Solution, Sophia Genetics; Next Seq, Illumina) [40]. Bioinformatics analyses were performed using DDM software (Sophia Genetics). Mutations in ctDNA was performed by RT-qPCR reactions on a Roche Light Cycler 480 Instrument II Real Time PCR System, using Prime Time Mini LNA probes for mutations Y646N, Y646S, Y646C, and A692V (57% of existing variants) (Supplementary Tables 2–4).

Statistical analysis

Data analysis, including descriptive statistics and Fisher’s exact test, was performed using IBM SPSS Statistics 26 (IBM, USA). OS was defined as the time from diagnosis (date of biopsy) to death or last visit if the patient was still alive. PFS was defined as the time from treatment onset to progression or last visit if there was no progression. Both OS and PFS of the total cohort, and according to therapy received and EZH2 mutation status, were calculated using R studio Version 1.3.1056 (RStudio, Inc.) Progression of disease within 24 months (POD24) was defined from diagnosis to progression if occurring within 24 months. P-values of less than 0.05 were considered significant.

Results

Distribution of EZH2 mutations at diagnosis

  • Global cohort

Of the total cohort (n = 154), in tissue, 42 (27%) presented EZH2 mutations at diagnosis. Mutations are missense and were detected at 3 recurrent mutation hot spots (Y646, A682, and A692). The most frequent mutation was Y646N (18, 42%), followed by Y646F (9, 21%), A682G (5, 11.9%), A692V (4, 9.5%), Y646C (3, 7.1%), Y646H (2, 4,7%), and Y646S (1, 2.3%).

Patients were then divided into two groups according to their grade of FL: low-grade FL (grades 1, 2 and 3a) and high-grade FL (grade 3b).

  • High-grade FL

EZH2 mutations were found in 6 of the 13 (46%) high-grade FL patients’ tissue (Table 3). Mutations detected were Y646N (2.3%), Y646F (1.2%), A682G (1.2%), Y646C (2.2%), and Y646S (1.2%). Among patients with mutated EZH2, 2 of those with advanced disease had plasma available. The same mutation as detected in tissue (Y646N) was also identified in ctDNA.

  • Low-grade FL

Table 3 Response to therapy of patients with grade 1, 2 and 3A
Full size table

EZH2 mutations were detected in 36 out of 141 (26%) low-grade FL patients’ tissue (Tables 1 and 2). The most frequent mutation was Y646N (16.4%), followed by Y646F (8.2%), A682G (5.1%), A692V (2.6%), Y646C (2.6%), Y646H (2.6%), and Y646S (1.3%). Of the 37 plasma samples collected, 4 cases were positive in ctDNA (2 patients presented Y646N, 1 Y646S, and 1 Y646C), all of them were also present in tissue, 3/ 4 patients (75%) had advanced stage. Five ctDNA samples were EZH2 negative and positive in tissue. Therefore, 44% of mutated patients with available ctDNA at diagnosis had the mutation in ctDNA. We did not identify EZH2 mutations in ctDNA from patients with unmutated EZH2 in tissue.

Clinical correlations and prognostic value of EZH2 mutation

Clinical and biological characteristics and outcome were compared in low-grade FL (Tables 1 and 2) and high-grade FL (Table 3) according to EZH2 mutation status in tissue.

High-grade FL

In high-grade FL, mutated EZH2 had statistically higher FLIPI risk (100% vs. 0%; p = 0.048). No statistical differences were found when comparing the resting clinical and biological characteristics and outcome in mutated and unmutated patients. All patients included in the high-grade FL group were treated with R-CHOP (13) (Table 2).

Low-grade FL

In low-grade FL, there was no statistical significance when comparing clinical characteristic immunohistochemical and molecular markers between mutated and unmutated EZH2 in tissue (Table 1). One hundred and twenty-three patients received treatment and 18 were observed according to the W&W strategy. Of the total of treated patients, 30 received R-Bendamustine, 67 R-CHOP, and 26 R-CVP, Rituximab or radiotherapy (Table 3). Patients with EZH2 mutated vs. no present lower relapses (11% VS. 20% p = 0.1), with no statistical differences and lower deaths (5.5% vs. 19% p = 0.034) Table 3.

Outcomes after first line therapy in mutated and unmutated patients were compared between R-Bendamustine and R-CHOP. Clinical and biological characteristics between the groups (R-CHOP vs. R-Bendamustine) were analysed with no significant differences found between them (Supplementary Table 5). Percentage of patients that achieved complete remission after receiving R-Bendamustine or R-CHOP were similar when compared according to EZH2 status. There were no statistical differences when comparing POD24 according to therapy received and EZH2 mutational status. Instead, unmutated patients who received R-CHOP had significantly more relapses than patients who received R-Bendamustine (16/49 vs. 2/23, p = 0.040), no differences were found in terms of PFS and OS (data not shown). Furthermore, our results show that mutated EZH2 patients treated with R-CHOP vs. those treated with R-Bendamustine present a higher PFS (92% vs. 40% at 4 years p = 0.039), and higher OS (100% vs. 78% at 4 years p = 0.039), Fig. 1C.

Fig. 1
figure 1

Kaplan-Meier curves in patients with grade 1, 2, and 3a. A PFS and OS in patients treated with R-CHOP (EZH2 mutated vs. unmutated); B PFS and OS in patients treated with R-Bendamustine (EZH2 mutated vs. unmutated). C PFS and OS in EZH2 mutated patients (R-CHOP vs. R-Bendamustine). PFS Progression-free survival. OS: Overall survival

Full size image

If the analysis is carried out regarding the treatment received, the group of patients who received R-CHOP, mutated vs. unmutated EZH2 patient’s trend to present a higher PFS (at 4 years 92% vs.79% p = 0.1) and a higher OS (at 11 years 90% vs. 70% p = 0.2) (Fig. 1A). In the group of patients who received R-bendamustine, mutated vs. unmutated EZH2 patient’s seem to have a lower PFS with no statistical differences (at 4 years 40% vs.85% p = 0.09). No differences were found in terms of OS (Fig. 1B).

Discussion

In this study, we evaluate the frequency of EZH2 mutations in tissue biopsy and in ctDNA at the time of diagnosis in FL, and we describe the possible usefulness of this biomarker as a tool to guide frontline treatment. We have found 27% of patients mutated in low-grade FL and 46% in high-grade. The frequency in which we have found mutated low-grade LF patients is similar to that previously reported [41, 42]. However, 46% of patients were mutated in the high-grade FL group. This remarkable difference between low and high-grade FL has not been previously referred to, as far as we know. In fact, looking at the percentage of mutated patients in DLCBL, even those of germinal center origin, it is significantly lower, near 20% [32, 43]. It is important to note that our population of patients with high-grade FL is small, and we must increase it in order to confirm these data.

Furthermore, here we showed that EZH2 mutations are detectable in ctDNA. In the present study we found that 44% of mutated patients with available ctDNA at diagnosis had the mutation. The percentage of ctDNA with mutated EZH2 is probably misrepresented, because in some samples the amount of plasma obtained was low and, furthermore, a higher number of samples in low-grade FL could be needed since the amount of ctDNA released into the plasma in this group may be lower than in high-grade lymphomas [40]. It should be noted that 83% of the ctDNA with mutated EZH2 in our cohort had stage III-IV. It seems to be more common to find the ctDNA that harbors mutations in this gene in advanced stage patients, probably because in this group a greater amount of ctDNA is being released into the bloodstream. In this regard, the quantification of ctDNA has been directly related to the tumor metabolic volume in FL [36].

In high-grade FL, mutated EZH2 had statistically higher FLIPI risk (100% vs. 0%; p = 0.048). No statistical differences were found when comparing the resting clinical and biological characteristics and outcome in mutated and unmutated patients. In low-grade FL, there was no statistical significance when comparing clinical characteristic immunohistochemical and molecular markers between mutated and unmutated EZH2 in tissue.

As previously mentioned, the decision about first-line treatment in advanced stage low-grade FL is difficult, and so far we do not have prognostic tools that allow the selection of one immunochemotherapy regime over the other [44]. EZH2 has been highlighted as a prognosis predictor [10, 38, 39]. A study that evaluates the impact of genetic alterations in EZH2 in a group of patients treated homogeneously with RCHOP within a clinical trial identified those patients with alterations as having longer PFS compared to those who did not have them [31]. Likewise, in a recent international hematology meeting it was postulated as a tool for frontline therapy selection in patients with low-grade FL, results similar to ours [39]. In this abstract the author postulated that EZH2 mutation status was associated with longer PFS in patients receiving CHOP/CVP regimens and it did not impact treatment outcome of patients treated with R-Bendamustine, suggesting that EZH2 mutation status could be a predictive marker for differential efficacy of the chemotherapy regimen. In our study we have found that patients with EZH2 mutated low-grade FL treated with R-CHOP had significantly lower incidence of relapse, and higher PFS and OS compared to those treated with R-Bendamustine. To our knowledge, this is the first time that this correlation between the EZH2 mutation and the type of immunochemotherapy used in the first-line treatment of FL has been published.

EZH2 mutation occurs early in the development of FL [28]. However, it has been postulated as one of genes that promotes progression, relapse or transformation in FL, since some patients acquired it during this event [42, 45,46,47]. Taking into account that in our high-grade patients the mutation is significantly more represented, and the best PFS obtained with the use of anthracyclines in the mutated group could be an indicator of high-grade comportment of the disease, although other studies would be necessary to demonstrate this hypothesis, furthermore the number of patients with high grade FL (n = 13) is low, we must confirm this data in a higher cohort.

The present study has several limitations. The first being the one inherent to the retrospective nature of the study. On the other hand, there could be a selection bias when selecting the treatment, since in routine clinical practice, in patients who have clinical behaviour of transformation, although the biopsy does not confirm it, these could tend to be treated more with RCHOP instead of R-Bendamustine. Likewise, the expression and copy numbers of EZH2 have not been studied, which could enrich the results, but would require a different technology than that used in our analysis. Finally, the number of patients treated in first line with R-CHOP and R-Bendamustine must be expanded to confirm our results. Despite this, we consider that our findings are of great importance and may have an impact on the therapeutic decision of patients with LF in the first line. In conclusion, our study shows that the status of the EZH2 mutation in FL at diagnosis could be a useful marker for the selection of first-line treatment in low-grade FL. Furthermore, ctDNA could be a promising tool in identifying mutated patients, especially in advanced stages and high-grade FL.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Change history

References

  1. Bastos-Oreiro M, Muntañola A, Panizo C, et al. RELINF: prospective epidemiological registry of lymphoid neoplasms in Spain. A project from the GELTAMO group. Ann Hematol. 2020;99(4):799–808.

    Article  PubMed  CAS  Google Scholar 

  2. Swerdlow SH, Campo E, Pileri SA, et al. The 2016 revision of the World Health Organization classification of lymphoid neoplasms. Blood. 2016;127(20):2375–90.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  3. Zelenetz AD, Chu G, Galili N, et al. Enhanced detection of the t(14;18) translocation in malignant lymphoma using pulsed-field gel electrophoresis. Blood. 1991;78(6):1552–60.

    Article  PubMed  CAS  Google Scholar 

  4. Green MR. Chromatin modifying gene mutations in follicular lymphoma. Blood. 2018;131(6):595–604.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  5. Pouyiourou M, Meyer A, Stroux A, et al. First-line treatment with R-CHOP or rituximab-bendamustine in patients with follicular lymphoma grade 3A—results of a retrospective analysis. Ann Hematol. 2020;99(12):2821–9.

    Article  PubMed  CAS  Google Scholar 

  6. Casulo C, Byrtek M, Dawson KL, et al. Early relapse of follicular lymphoma after rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone defines patients at high risk for death: an analysis from the national LymphoCare study. J Clin Oncol. 2015;33(23):2516–22.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  7. Montoto S, Davies AJ, Matthews J, et al. Risk and clinical implications of transformation of follicular lymphoma to diffuse large B-cell lymphoma. J Clin Oncol. 2007;25(17):2426–33.

    Article  PubMed  Google Scholar 

  8. Solal-Céligny P, Roy P, Colombat P, et al. Follicular lymphoma international prognostic index. Blood. 2004;104(5):1258–65.

    Article  PubMed  Google Scholar 

  9. Bachy E, Maurer MJ, Habermann TM, et al. A simplified scoring system in de novo follicular lymphoma treated initially with immunochemotherapy. Blood. 2018;132(1):49–58.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  10. Pastore A, Jurinovic V, Kridel R, et al. Integration of gene mutations in risk prognostication for patients receiving first-line immunochemotherapy for follicular lymphoma: a retrospective analysis of a prospective clinical trial and validation in a population-based registry. Lancet Oncol. 2015;16(9):1111–22.

    Article  PubMed  CAS  Google Scholar 

  11. Matasar MJ, Luminari S, Barr PM, et al. Follicular lymphoma: recent and emerging therapies, treatment strategies, and remaining unmet needs. Oncologist. 2019;24(11):e1236–50.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Lowry L, Smith P, Qian W, et al. Reduced dose radiotherapy for local control in non-Hodgkin lymphoma: a randomised phase III trial. Radiother Oncol. 2011;100(1):86–92.

    Article  PubMed  Google Scholar 

  13. MacManus M, Fisher R, Roos D, et al. Randomized trial of systemic therapy after involved-field radiotherapy in patients with early-stage follicular lymphoma: TROG 99.03. J Clin Oncol. 2018;36(29):2918–25.

    Article  PubMed  CAS  Google Scholar 

  14. Matis LA, Young RC, Longo DL. Nodular lymphomas: current concepts. Crit Rev Oncol Hematol. 1986;5(2):171–97.

    Article  PubMed  CAS  Google Scholar 

  15. Advani R, Rosenberg SA, Horning SJ. Stage I and II follicular non-Hodgkin’s lymphoma: long-term follow-up of no initial therapy. J Clin Oncol. 2004;22(8):1454–9.

    Article  PubMed  Google Scholar 

  16. Ardeshna KM, Qian W, Smith P, et al. Rituximab versus a watch-and-wait approach in patients with advanced-stage, asymptomatic, non-bulky follicular lymphoma: an open-label randomised phase 3 trial. Lancet Oncol. 2014;15(4):424–35.

    Article  PubMed  CAS  Google Scholar 

  17. Brice P, Bastion Y, Lepage E, et al. Comparison in low-tumor-burden follicular lymphomas between an initial no-treatment policy, prednimustine, or interferon alfa: a randomized study from the Groupe d’Etude des Lymphomes Folliculaires. Groupe d’Etude des Lymphomes de l’Adulte. J Clin Oncol. 1997;15(3):1110–7.

    Article  PubMed  CAS  Google Scholar 

  18. Kahl BS, Hong F, Williams ME, et al. Rituximab extended schedule or re-treatment trial for low-tumor burden follicular lymphoma: eastern cooperative oncology group protocol e4402. J Clin Oncol. 2014;32(28):3096–102.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Solal-Celigny P, Lepage E, Brousse N, et al. Recombinant interferon alfa-2b combined with a regimen containing doxorubicin in patients with advanced follicular lymphoma. Groupe d’Etude des Lymphomes de l’Adulte. N Engl J Med. 1993;329(22):1608–14.

    Article  PubMed  CAS  Google Scholar 

  20. Dreyling M, Ghielmini M, Rule S, et al. Newly diagnosed and relapsed follicular lymphoma: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2021;32(3):298–308.

    Article  PubMed  CAS  Google Scholar 

  21. Hiddemann W, Kneba M, Dreyling M, et al. Frontline therapy with rituximab added to the combination of cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) significantly improves the outcome for patients with advanced-stage follicular lymphoma compared with therapy with CHOP alone: results of a prospective randomized study of the German low-grade lymphoma study group. Blood. 2005;106(12):3725–32.

    Article  PubMed  CAS  Google Scholar 

  22. Marcus R, Imrie K, Belch A, et al. CVP chemotherapy plus rituximab compared with CVP as first-line treatment for advanced follicular lymphoma. Blood. 2005;105(4):1417–23.

    Article  PubMed  CAS  Google Scholar 

  23. Flinn IW, Van Der Jagt R, Kahl B, et al. First-line treatment of patients with indolent non-hodgkin lymphoma or mantle-cell lymphoma with bendamustine plus rituximab versus R-CHOP or R-CVP: results of the BRIGHT 5-year follow-up study. J Clin Oncol. 2019;37(12):984–91.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  24. Rummel MJ, Niederle N, Maschmeyer G, et al. Bendamustine plus rituximab versus CHOP plus rituximab as first-line treatment for patients with indolent and mantle-cell lymphomas: an open-label, multicentre, randomised, phase 3 non-inferiority trial. Lancet. 2013;381(9873):1203–10.

    Article  PubMed  CAS  Google Scholar 

  25. Marcus R, Davies A, Ando K, et al. Obinutuzumab for the first-line treatment of follicular lymphoma. N Engl J Med. 2017;377(14):1331–44.

    Article  PubMed  CAS  Google Scholar 

  26. Smith S. Transformed lymphoma: what should I do now? Hematology Am Soc Hematol Educ Program. 2020;2020(1):306–11.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Huet S, Sujobert P, Salles G. From genetics to the clinic: a translational perspective on follicular lymphoma. Nat Rev Cancer. 2018;18(4):224–39.

    Article  PubMed  CAS  Google Scholar 

  28. Béguelin W, Popovic R, Teater M, et al. EZH2 is required for germinal center formation and somatic EZH2 mutations promote lymphoid transformation. Cancer Cell. 2013;23(5):677–92.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Kim KH, Roberts CWM. Targeting EZH2 in cancer. Nat Med. 2016;22(2):128–34.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  30. Miao Y, Medeiros LJ, Li Y, Li J, Young KH. Genetic alterations and their clinical implications in DLBCL. Nat Rev Clin Oncol. 2019;16(10):634–52.

    Article  PubMed  CAS  Google Scholar 

  31. Huet S, Xerri L, Tesson B, et al. EZH2 alterations in follicular lymphoma: biological and clinical correlations. Blood Cancer J. 2017;7(4):e555–8.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  32. Morin RD, Johnson NA, Severson TM, et al. Somatic mutations altering EZH2 (Tyr641) in follicular and diffuse large B-cell lymphomas of germinal-center origin. Nat Genet. 2010;42(2):181–5.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  33. Morin RD, Mendez-Lago M, Mungall AJ, et al. Frequent mutation of histone-modifying genes in non-Hodgkin lymphoma. Nature. 2011;476(7360):298–303.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  34. Bödör C, O’Riain C, Wrench D, et al. EZH2 Y641 mutations in follicular lymphoma. Leukemia. 2011;25(4):726–9.

    Article  PubMed  Google Scholar 

  35. Cervena K, Vodicka P, Vymetalkova V. Diagnostic and prognostic impact of cell-free DNA in human cancers: systematic review. Mutat Res Rev Mutat Res. 2019;781:100–29.

    Article  PubMed  CAS  Google Scholar 

  36. Delfau-Larue MH, Van Der Gucht A, Dupuis J, et al. Total metabolic tumor volume, circulating tumor cells, cell-free DNA: distinct prognostic value in follicular lymphoma. Blood Adv. 2018;2(7):807–16.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  37. Kurtz DM, Scherer F, Jin MC, et al. Circulating tumor DNA measurements as early outcome predictors in diffuse large B-cell lymphoma. J Clin Oncol. 2018;36(28):2845–53.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  38. Nagy Á, Bátai B, Balogh A, et al. Quantitative analysis and monitoring of ezh2 mutations using liquid biopsy in follicular lymphoma. Genes. 2020;11(7):1–12.

    Article  Google Scholar 

  39. Jurinovic V, Passerini V, Oestergaard MZ, et al. Evaluation of the m7-FLIPI in patients with follicular lymphoma treated within the Gallium trial: EZH2 mutation status may be a predictive marker for differential efficacy of chemotherapy. Blood. 2019;134(Supplement_1):122.

    Article  Google Scholar 

  40. Bastos-Oreiro M, Suárez-González J, Andrés-Zayas C, et al. Incorporation of next-generation sequencing in clinical practice using solid and liquid biopsy for patients with non-Hodgkin’s lymphoma. Sci Rep. 2021;11(1):22815.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  41. Okosun J, Bödör C, Wang J, et al. Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initiation and progression of follicular lymphoma. Nat Genet. 2014;46(2):176–81.

    Article  PubMed  CAS  Google Scholar 

  42. Bödör C, Grossmann V, Popov N, et al. EZH2 mutations are frequent and represent an early event in follicular lymphoma. Blood. 2013;122(18):3165–8.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Liu Y, Yu K, Li M, et al. EZH2 overexpression in primary gastrointestinal diffuse large B-cell lymphoma and its association with the clinicopathological features. Hum Pathol. 2017;64:213–21.

    Article  PubMed  CAS  Google Scholar 

  44. Casulo C. Risk stratification in follicular lymphoma. Best Pract Res Clin Haematol. 2018;31(1):15–22.

    Article  PubMed  Google Scholar 

  45. Bouska A, Zhang W, Gong Q, et al. Combined copy number and mutation analysis identifies oncogenic pathways associated with transformation of follicular lymphoma. Leukemia. 2017;31(1):83–91.

    Article  PubMed  CAS  Google Scholar 

  46. Kridel R, Chan FC, Mottok A, et al. Histological transformation and progression in follicular lymphoma: a clonal evolution study. PLoS Med. 2016;13(12):1–25.

    Article  Google Scholar 

  47. Lackraj T, Goswami R, Kridel R. Pathogenesis of follicular lymphoma. Best Pract Res Clin Haematol. 2018;31(1):2–14.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The authors would also like to acknowledge the patients who participated in this study, as well as the Hematology Department staff at Hospital General Universitario Gregorio Marañón (Madrid, Spain), who made the study possible.

Funding

This study was partially supported by the Ministry of Economy and Competitiveness ISCIII-FIS Grant PI20/00521 and co-financed by the European Regional Development Fund from the European Commission, the “A way of making Europe” initiative.

Author information

Authors and Affiliations

  1. Gregorio Maranon Health Research Institute (IiSGM), Madrid, Spain

    C. Martínez-Laperche, L. Sanz-Villanueva, F. J. Díaz Crespo, P. Muñiz, D. Carbonell, M. Chicano, J. Suárez-González, J. Menárguez, M. Kwon, J. L. Diez Martín, I. Buño & M. Bastos Oreiro

  2. Department of Hematology, Gregorio Marañón General University Hospital, Gregorio Marañón Health Research Institute (IiSGM), C/ Doctor Esuerdo 46, 28007, Madrid, Spain

    C. Martínez-Laperche, L. Sanz-Villanueva, P. Muñiz, R. Martín Rojas, D. Carbonell, M. Chicano, M. Kwon, J. L. Diez Martín, I. Buño & M. Bastos Oreiro

  3. Pathology Department, Gregorio Maranon General University Hospital, Madrid, Spain

    F. J. Díaz Crespo & J. Menárguez

  4. Genomics Unit, Gregorio Maranon General University Hospital, IiSGM, Madrid, Spain

    J. Suárez-González & I. Buño

  5. Department of Medicine, School of Medicine, Complutense University of Madrid, Madrid, Spain

    J. L. Diez Martín

  6. Department of Cellular Biology, School of Medicine, Complutense University of Madrid, Madrid, Spain

    I. Buño

Authors
  1. C. Martínez-Laperche
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. L. Sanz-Villanueva
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. F. J. Díaz Crespo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. P. Muñiz
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. R. Martín Rojas
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. D. Carbonell
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. M. Chicano
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. J. Suárez-González
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. J. Menárguez
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. M. Kwon
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. J. L. Diez Martín
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. I. Buño
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. M. Bastos Oreiro
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

M.B.O, LSV, C.M.-L., and I.B, were responsible for conception and design; MBO, FJDC., RMR., JM., MK., J.L.D.-M. provided patients and samples; LSV., P.M., D.C., M.C., JS., C.M.-L., and I.B. collected and assembled data; MBO., LSV., C.M.-L., and I.B. were responsible for data analysis and interpretation; LSV., MBO., C.M.-L., and I.B. wrote the manuscript; and all authors gave final approval of the manuscript and are accountable for all aspects of the work.

Corresponding author

Correspondence to M. Bastos Oreiro.

Ethics declarations

Ethics approval and consent to participate

The study protocol was approved by the Ethical Committee of Gregorio Maranon General University Hospital and all patients signed the informed consent document.

Consent for publication

Not applicable.

Competing interests

The authors have nothing to disclose.

Additional information

Publisher’s Note

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

The original version of this article was revised: Figure 1B has been updated.

Supplementary Information

Additional file 1: Supplementary Table 1.

Custom set of primers for mutations in exons 16 and 18 for sanger sequencing. Supplementary Table 2. Custom set of probes and primers for mutation Y646N for RT-qPCR. Supplementary Table 3. Custom set of probes and LNA primers for mutations Y646C and Y646S for RT-qPCR. Supplementary Table 4. Custom set of probes and LNA primers for mutation A692V for RT-qPCR. Supplementary Table 5. Clinical characteristics, immunohistochemical and molecular markers available in patients treated with R-Benda VS. R-CHOP.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Martínez-Laperche, C., Sanz-Villanueva, L., Díaz Crespo, F.J. et al. EZH2 mutations at diagnosis in follicular lymphoma: a promising biomarker to guide frontline treatment. BMC Cancer 22, 982 (2022). https://doi.org/10.1186/s12885-022-10070-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12885-022-10070-z

Keywords

  • Follicular lymphoma
  • EZH2
  • R-Bendamustine
  • R-CHOP

BMC Cancer

ISSN: 1471-2407

Contact us