Mutations In MLL2 and MEF2B Genes In Follicular Lymphoma and Diffuse Large B-Cell Lymphoma

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 473-473
Author(s):  
Maria Mendez-Lago ◽  
Ryan D Morin ◽  
Andrew J Mungall ◽  
Susanna Chan ◽  
Suganthi Chittaranjan ◽  
...  

Abstract Abstract 473 Introduction : Follicular lymphoma (FL) and diffuse large B cell lymphoma (DLBCL) are the most common types of B-cell derived non-Hodgkin lymphomas (NHL). A significant proportion of patients with FL develop transformed disease reminiscent of DLBCL, which arises from the cells of FL. A common feature of FL and a subset of DLBCL is the presence of a balanced cytogenetic translocation t(14;18)(q32;q21). In addition to chromosome rearrangements, inappropriate somatic hypermutation of proto-oncogenes, including MYC, PIM1, ARHH and PAX5, have been proposed to contribute to DLBCL, but not to FL. Evidence for other mutations contributing to the development of DLBCL and FL is lacking. Our research group had previously detected a residue of the SET domain of the methyltransferase EZH2 (Y641) that is frequently mutated both in FL and the GCB subtype of DLBCL (Morin, R et al. 2010 Nature Genetics 42 (2):181-5). It has also been recently reported that specific gene expression signatures can reveal unique diagnostic and prognostic information about FL and DLBCL. The presence of mutations in genes that contribute to chromatin modification (from transcriptionally active to silent, and vice versa) can have an effect on the regulation of gene expression, playing an important role in cancer. Methods: We have deep-sequenced the whole transcriptome of DLBCL samples using Illumina second-generation sequencing to detect candidate mutations in different genes that may contribute to lymphoma development and progression. Based on our observations of these data, we subsequently PCR amplified and sequenced the entire MLL2 locus from genomic DNA isolated from FL and DLBCL tumor samples, and from matched germline DNA where available. Using an alternative approach, consisting of a targeted hybridization capture of MEF2B exons from genomic DNA, we re-sequenced the exons of MEF2B in an extended cohort of FL and DLBCL samples. Results: Among many other mutated genes we have characterized the mutations found in two chromatin modifying genes, MLL2 and MEF2B. MLL2, a gene that encodes a histone methyltransferase, is somatically mutated in 89% of FL (n=35) and 32% of DLBCL (n=37) samples. The majority of these mutations were truncations and frame-shift insertions and deletions, likely inactivating MLL2. MEF2B, which encodes a MADS/MEF2 DNA binding protein involved in the regulation of gene expression, was found mutated in 12% of FL (n=274) and 9% of DLBCL (n=321) tumor samples. In contrast with the mutational pattern of MLL2, we did not detect non-sense mutations in MEF2B. All mutations in MEF2B affected a small number of residues. Several studies in MEF2 family members have shown the importance of some of these mutated residues for the correct function of the protein. Conclusions: After high-throughput sequencing of transcriptomes in a cohort of FL and DLBCL lymphoma samples, two targeted second generation re-sequencing approaches have enabled the screening of individual genes in a large cohort of samples. We chose two of the genes with strong evidence for recurrent somatic mutations and no previously known role in lymphoma, MLL2 and MEF2B, for detailed characterization. The high incidence of mutations in both of these genes suggests that these mutations might act as driver mutations of interest for further study. Disclosures: No relevant conflicts of interest to declare.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 2951-2951
Author(s):  
Ash A Alizadeh ◽  
Andrew J Gentles ◽  
Sylvia K Plevritis ◽  
Ronald Levy

Abstract Abstract 2951 Poster Board II-927 Background: Expression signatures of infiltrating immune cells [1] have been shown to predict survival in follicular lymphoma (FL), but have not been cross-validated in independent patient cohorts [2,3]. These signatures may relate biologically to the frequency of infiltrating including T-cells and macrophages, or to specific transcription programs within tumor cells and/or the tumor microenvironment. We sought to evaluate the validity of this model in an independent cohort of patients with FL, assessing its relationship to outcomes including histological transformation and death. Methods: The immune response (IR) predictor score proposed by Dave et al. [1] was applied to gene expression data from an independent cohort of 88 FL patients [4] with known survival outcomes and history of transformation to diffuse large B-cell lymphoma (DLBCL). Genes (n=66) corresponding to IR1 and IR2 signatures were mapped from Affymetrix microarrays [1] to a custom cDNA array [4] via Entrez Gene ID, and the composite IR score was calculated per the scheme proposed by Dave et al. Results: The IR score was predictive of patient outcome in the 88 patient test set as a continuous variable (p=0.001, HR=2.01, 95% CI 0.50-1.30). Partitioning of patients into high and low risk groups based on the median IR score across the cohort robustly separated survival curves (Figure A). The IR score was significantly higher in FL patients known to undergo transformation to DLBCL (Figure B: mean IR score of -0.6 in non-transforming FL vs. -0.2 in transforming FL; p∼10-11, t-test). Conclusions: The IR score of Dave et al. was highly significant as a predictor of survival in the independent patient cohort [4]. Moreover, the score was significantly associated with propensity of FL to transform to DLBCL. To our knowledge, immune cell infiltration has not previously been implicated in transformation. 1. Dave SS et al. (2004) Prediction of survival in follicular lymphoma based on molecular features of tumor-infiltrating immune cells. N Engl J Med 351(21): 2159-2169. 2. Tibshirani R (2005) Immune signatures in follicular lymphoma. N Engl J Med 352: 1496-1497. 3. Chu G Hong WJ, Warnke R, Chu G (2005). Immune Signatures in Follicular Lymphoma (Corres). N Engl J Med. 352: 1496-1497. 4. Glas AM et al. (2005) Gene expression profiling in follicular lymphoma to assess clinical aggressiveness and to guide the choice of treatment. Blood 105(1): 301-307. Disclosures: No relevant conflicts of interest to declare.


Haematologica ◽  
2022 ◽  
Author(s):  
Karoline Koch ◽  
Julia Richter ◽  
Christoph Hanel ◽  
Andreas Huttmann ◽  
Ulrich Duhrsen ◽  
...  

The sole distinguishing feature of follicular lymphoma grade 3B and diffuse large B-cell lymphoma is the growth pattern assessed by histopathology analysis. Diffuse growth defines diffuse large B-cell lymphoma but the clinical relevance of this finding when occurring in follicular lymphoma grade 3B is uncertain. To address this question, individual and coexisting follicular lymphoma grade 3B and diffuse large B-cell lymphoma were separated and analyzed for immunophenotype and molecular genetic features by fluorescence in situ hybridization, targeted sequencing and gene expression profiling. Clinical features of follicular lymphoma grade 3B with and without coexisting diffuse large B-cell lymphoma were studied in homogeneously treated patients from a prospective randomized trial. Follicular lymphoma grade 3B and diffuse large B-cell lymphoma frequently show intermediate growth pattern and/or occurred simultaneously in the same tissue at the time of initial diagnosis. When occurring simultaneously follicular lymphoma grade 3B and diffuse large B-cell lymphoma do not differ significantly in genetic aberrations or phenotype but distinct features in gene expression reflect divergent microenvironment. Follicular lymphoma grade 3B with and without coexisting diffuse large B-cell lymphoma do not differ in major clinical parameters such as international prognostic index, response to immunochemotherapy, progression or overall survival. Follicular lymphoma grade 3B and simultaneous diffuse large B-cell lymphoma are molecularly homogenous. Histological detection of diffuse large B-cell lymphoma is not associated with features of a more aggressive disease and does not reflect transformation or progression of follicular lymphoma Grade 3B.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4479-4479
Author(s):  
Tristan Loveday ◽  
Gerben Duns ◽  
Lisa M. Rimsza ◽  
Karen Rech ◽  
James R. Cook ◽  
...  

Abstract Objectives: We identified a case of follicular lymphoma (FL) that transformed into a morphologic diffuse large B-cell lymphoma (DLBCL), which by gene expression profiling showed a primary mediastinal (PMBL)-like gene expression profile (GEP) (Lymph3Cx; Blood 2018;132:2401-5). A search identified 4 additional transformed FL (tFL) cases with a PMBL-like GEP, which we further studied to determine how similar these tFLs were to classic cases of PMBL. Methods: The morphology and previously reported immunophenotype were reviewed, and CD30, CD23, MAL, CD273/PDL2, and CD200 immunohistochemical stains (IHC) were performed. Whole exome sequencing (WES) and copy number analysis (CNA) to evaluate genes typically altered in FL and PMBL were performed. Results: None of the tFLs arose in the mediastinum or had a previous history of mediastinal disease. All cases showed typical centroblastic DLBCL cytology, with fine sclerosis typical of PMBL. 3/3 were GCB by the Hans IHC algorithm, 1/3 were MYC+, 3/3 BCL2+, 1/5 CD30+, 3/5 CD23+, 4/5 MAL+, 0/5 CD273/PDL2+, 1/5 CD200+, and 0/2 EBER+. Rearrangements of MYC, BCL2, or BCL6 were identified by FISH in 0/3, 1/3, and 2/3 cases, respectively. WES demonstrated sequence variants in genes associated with both FL (CREBBP [60%], KMT2D [40%], and TNFRSF14 [40%]) and PMBL (JAK-STAT pathway genes [80%], B2M [20%], and CD58 [20%]). 2 of the mutations identified in the tFLs have previously been shown to result in JAK-STAT activation (STAT6 p.E372K [PNAS 2016;113:13015-20] and SOCS1 p.F101L [Oncogene 2002;21:4351-62] identified in 1/5 cases each). CNA showed gains/amplification of REL in 3/5 cases, gains/amplification of STAT6 in 2/5, gains of large sections of chromosome 16, including IL4R, in 2/5, and both deletions and gains of 11q in 1/5. See Figure demonstrating the 5 cases on the Y-axis and the chromosomes on the X-axis. Conclusions: The tFLs in this small series seem to represent PMBL-like DLBCLs, rather than classic PMBLs, and have a blended pattern of immunophenotypic and genomic features between FL/DLBCL and PMBL. Although the cases express some PMBL-associated markers (CD23 and MAL), there is less frequent staining for others (CD30, CD273/PDL2, and CD200). The cases harbor both FL-associated and PMBL-associated sequence variants, including 40% with mutations known to activate the JAK-STAT pathway. This frequency of mutations in JAK-STAT pathway genes is higher than that seen in typical FL/DLBCL, but perhaps lower than in classic PMBL (Blood 2019;134:802-13). PMBL also frequently has gains/amplifications of 9p24.1, which was not seen in our cohort. However, gains/amplification of REL/2p, which is seen in approximately 50% of PMBL, was identified in 60% of the tFLs. The 11q aberration identified in 1 case would be unusual for PMBL, and is instead more commonly associated with a subset of aggressive lymphomas with Burkitt-like features (Haematologica 2019;104:1822-9). Recently, lymphomas with similar blended features between DLBCL and PMBL, which were not arising in the setting of tFL, have been reported (Duns G, et al. Blood 2021). Our study extends the types of biological transformations, in addition to more classic DLBCL, that can be seen in FL. These tFLs with blended PMBL-DLBCL biology may have implications for therapeutic decision making including targeted therapies used in PMBL. Figure 1 Figure 1. Disclosures Rimsza: NanoString Technologies: Other: Fee-for-service contract. Steidl: Curis Inc.: Consultancy; Trillium Therapeutics: Research Funding; Bayer: Consultancy; Epizyme: Research Funding; Seattle Genetics: Consultancy; AbbVie: Consultancy; Bristol-Myers Squibb: Research Funding.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Selin Merdan ◽  
Kritika Subramanian ◽  
Turgay Ayer ◽  
Johan Van Weyenbergh ◽  
Andres Chang ◽  
...  

AbstractThe clinical risk stratification of diffuse large B-cell lymphoma (DLBCL) relies on the International Prognostic Index (IPI) for the identification of high-risk disease. Recent studies suggest that the immune microenvironment plays a role in treatment response prediction and survival in DLBCL. This study developed a risk prediction model and evaluated the model’s biological implications in association with the estimated profiles of immune infiltration. Gene-expression profiling of 718 patients with DLBCL was done, for which RNA sequencing data and clinical covariates were obtained from Reddy et al. (2017). Using unsupervised and supervised machine learning methods to identify survival-associated gene signatures, a multivariable model of survival was constructed. Tumor-infiltrating immune cell compositions were enumerated using CIBERSORT deconvolution analysis. A four gene-signature-based score was developed that separated patients into high- and low-risk groups. The combination of the gene-expression-based score with the IPI improved the discrimination on the validation and complete sets. The gene signatures were successfully validated with the deconvolution output. Correlating the deconvolution findings with the gene signatures and risk score, CD8+ T-cells and naïve CD4+ T-cells were associated with favorable prognosis. By analyzing the gene-expression data with a systematic approach, a risk prediction model that outperforms the existing risk assessment methods was developed and validated.


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