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  • Holte, Harald  (4)
  • Lawrence, Michael S.  (4)
  • Smeland, Erlend B.  (4)
  • 1
    In: Blood Advances, American Society of Hematology, Vol. 4, No. 9 ( 2020-05-12), p. 1859-1866
    Abstract: Diagnostic and relapse diffuse large B-cell lymphoma (DLBCL) biopsies reveal increased mutational burden/loss of heterozygosity in HLA-A. Serially sampled tumor biopsies provide insight into therapeutic targets and evolutionary divergence in relapsed/refractory DLBCL.
    Type of Medium: Online Resource
    ISSN: 2473-9529 , 2473-9537
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2020
    detail.hit.zdb_id: 2876449-3
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  • 2
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 20-20
    Abstract: Introduction: Follicular lymphoma (FL) is an indolent malignancy, characterized by multiple relapses during the disease course. Annually around 2-3% of patients experience transformation to aggressive disease (tFL), most commonly to diffuse large B-cell lymphoma (DLBCL). Both transformation and progression of disease within 2 years (POD24) are associated with poor prognosis, yet the molecular events underlying these processes are not well understood. The existence of common progenitor cells (CPCs) has been inferred from genetic analyses of longitudinal biopsies. Improved characterization of genetic alterations associated with CPCs in cases with transformation and POD24 may improve our understanding of disease progression, and reveal molecular markers for high-risk disease. Methods: We performed whole-exome sequencing of 97 serial tumor biopsies and matched normal samples purified from peripheral blood from 44 FL patients. An average sequencing coverage of 700X was achieved for both tumor and normal samples, which ensured high data quality and ability to detect SNVs and InDels using our bench-marked bioinformatics pipeline. SNP6.0 data was available for 93 sequenced tumors and used to infer allele-specific copy number alterations. Several computational tools were applied to identify potential cancer driver genes (MutSig2CV, 2020plus), mutational signatures (MutationalPatterns), and to study clonal evolution (PyClone, ClonEvol). Results: Twenty-two of the 44 FL patients experienced relapses without transformation (referred to as the nFL group), and 22 patients experienced transformation (the tFL group). Nineteen patients (including both groups) experienced POD24. Both transformation and POD24 were associated with inferior overall survival. The median non-synonymous mutational burden was 96 per biopsy (range 10-326). Pre-treatment FL biopsies from the tFL group had significantly higher mutational burden compared to the nFL group (p & lt;0.02). The application of two different approaches for driver gene discovery resulted in a total of 55 as putative drivers. Sixteen of these genes were identified by both tools, including the known FL driver genes CREBBP, KMT2D, TNFRSF14 and BCL2, all being mutated in more than 40 % of cases, and the novel cancer driver genes CTSS and VPS39. By applying MutSig2CV to different categories of biopsies, we identified RRAGC, ATP6V1B2, and HNRNPU as being significantly mutated in pre-treatment tumors of the nFL group, whereas TNFRSF14 and EZH2 were significantly mutated in pre-treatment tumors of the tFL group. When comparing pretreatment and relapsed FL biopsies, we identified CTSS, ZNF493 and HLA-A as significantly mutated in relapsed FL, thus potentially linking these genes to FL relapse. Analysis of mutational signatures demonstrated the presence of the same signatures for longitudinal samples, and no contrasting difference was found between nFL and tFL biopsies. Finally, we constructed clonal phylogenetic trees for 31 patients with serial biopsies and observed that both non-transformed and transformed tumors can evolve directly from CPCs. Contrary to previous findings, we did not find a preference for divergent evolution from FL to tFL, as compared to FL to relapsed FL. There was no significant correlation between evolution pattern and time intervals in the nFL and tFL groups. Based on the mutational history, we confirmed that CREBBP and KMT2D were the most frequently mutated genes seen in CPCs and PCLO, ATP6V1B2 and LRRN3 were also identified as early mutated genes. TNFRSF14, TBL1XR1 and GNAI2 were often mutated later, but before clonal expansion. Conclusions: We show that at diagnosis, the mutational burden in the tFL group is significantly higher than in the nFL group. By systematically applying driver discovery tools we have confirmed known driver genes and discovered novel genes that may be of importance for FL progression and transformation. Divergent evolution is a common feature both during relapse of FL and transformation to DLBCL, regardless of the time interval between the longitudinal biopsies. A better characterization of the CPCs may provide additional therapeutic opportunities towards a cure for FL patients. Disclosures Holte: Novartis: Honoraria, Other: Advisory board.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2019
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 3
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 1497-1497
    Abstract: Introduction Relapses of diffuse large B-cell lymphoma typically occur within 2-3 years and only 10% of these patients reach a 3-year progression-free survival compared to 65% at diagnosis. Our ability to distinguish patients at risk for relapse remains based on clinical staging. We hypothesized that identifying genetic alterations in serial tumour biopsies at diagnosis and relapse would improve our ability to identify high-risk patients, make therapeutic selections and reveal molecular markers for chemo-immunotherapy resistant tumours. However, relatively few relapsed/refractory biopsies have been sequenced. A unique, clinically annotated, Nordic DLBCL cohort was used to identify significantly mutated genes, assess potential driver genes, comprehensively examine clonal evolution, and gauge the importance of clinical relapsed sampling. Methods To address the lack of information on the molecular foundations of relapsed/refractory DLBCL, we performed whole exome sequencing (WES) on 42 DLBCL cases, with 34% representing relapsed/refractory biopsies and 13 serially sample cases. Enriched with relapsed/refractory diffuse large B-cell lymphoma cases, we performed multiple computational analyses to identify significantly mutated genes (MutSig2CV), mutational signatures (NMF and DeConstructsSig), driver genes (IntOgen and CADD), clonal evolution architecture (SciClone and ClonEvol), druggable gene analysis (DGIdb), and HLA-inference and mutation calling (Polysolver). Results Clonal evolution analysis of 13 paired diagnostic and relapsed biopsies revealed that relapsed/refractory biopsies have remarkable similarities to diagnostic biopsies and often present with late divergent clonal evolution of the tumor. Mutational analysis of 18 serially sampled tumors determined that in the majority of cases druggable oncogenic variants do arise at relapse. In addition, time to relapse correlated with divergence of mutations from the diagnostic biopsy. In addition to being identified as a significantly mutated gene, mutations in HLA-A had an increased incidence in cases that ultimately relapsed. This result led to an in-depth investigation into the mutational prevalence, timing, impact on prognosis, and loss of heterozygosity in the human leukocyte antigen (HLA) haplotypes of relapsed/refractory DLBCL. HLA-A mutagenesis and loss of heterozygosity was discovered as mechanisms of immune evasion in cases that go on to relapse from R-CHOP like therapies (Figure 1). Conclusions Our results yield insight into the development of chemo-immunotherapy resistant diffuse large B-cell lymphoma, and highlight the clinical importance of sampling relapsed biopsies. Analysis of immune evasion through MHC Class I/II, specifically HLA-A, may provide better characterization of patients for relapse prediction. In the age of personalized medicine it will be instrumental to determine if relapsed biopsies offer additional insight for salvage therapy treatment. Divergence of biopsies, as characterized by shared genomic mutations, increase with time and the majority of cases present with new alterations in druggable genes post-therapy. Disclosures Leppa: Roche: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Celgene: Consultancy; Bayer: Research Funding. Holte:Novartis: Honoraria, Other: Advisory board.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2019
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
    Location Call Number Limitation Availability
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  • 4
    In: Blood, American Society of Hematology, Vol. 140, No. Supplement 1 ( 2022-11-15), p. 6411-6412
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2022
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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