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  • 1
    In: Blood, American Society of Hematology, Vol. 132, No. Supplement 1 ( 2018-11-29), p. 607-607
    Abstract: Background: Somatic driver mutations in hematopoietic cells may lead to clonal hematopoiesis of indeterminate potential (CHIP). In patients with lymphoma CHIP has been associated with increased risk of therapy-related myeloid neoplasms (tMN) and inferior survival after autologous stem cell transplantation as demonstrated in a large single center study and in a case-control study (Gibson CJ et al., JCO 2017 and Berger G et al., Blood 2018). Here, we investigated the clinical impact of clonal hematopoiesis in a nation-wide population-based cohort of Danish lymphoma patients undergoing autologous transplant with prospective data from four national patient registries. Methods: Patients with lymphoma who had undergone leukapheresis at all danish transplant centers from 2000 to 2012 were identified. DNA and RNA was extracted from mobilized peripheral blood products. Targeted sequencing of all samples was performed using an Illumina TruSeq Custom Amplicon panel (Illumina, San Diego, CA, USA) designed to cover 〉 95% of mutations associated with CHIP (ASXL1, ASXL2, BCOR, BRCC3, CBL, CREBBP, DNMT3A, ETV6, GNB1, IDH1, IDH2, JAK2, KRAS, NRAS, PPM1D, RAD21, SF3B1, SRSF2, TET2, TP53). To allow detection of low-level mutations and secure variant calling, unique molecular identifiers (UMI's) were used. Filtering of variants was done by stringent criteria consistent with earlier studies. Assessment of mutations was performed blinded to the patients' clinical data. Prospective clinical patient data was obtained for all patients from four national registries, including the Danish Lymphoma Registry (diagnosis, involvement, lymphoma treatment, relapse and death), the Danish National Patient Registry (hospital admission diagnoses and treatments), the Danish Cancer Registry (primary and secondary cancer diagnoses) and the Danish Pathology Database (histopathological examinations and diagnoses), respectively. Results: Samples from 574 patients were included. The median age was 55.5 years (IQR: 45.3 - 62.2) and the median follow-up time for survivors was 9.2 years (IQR: 7.1 - 11.2). The lymphoma subtypes were typical of patients selected for autologous transplantation; diffuse large B-cell lymphoma (191 pts), follicular lymphoma (102 pts), mantle cell lymphoma (88 pts), Hodgkin's lymphoma (80 pts), peripheral T-cell lymphoma (77 pts) and other histologies (36 pts). Of the 574 patients analyzed, 191 (33.3%) of the patients had somatic mutations meeting CHIP criteria (total mutations called=210). The most commonly mutated genes were DNMT3A (n=59, 28%), TET2 (n=48, 23%), PPM1D (n=34, 16%), ASXL1 (n=21, 10%) and TP53 (n=18, 8%). As expected CHIP mutations were more frequent in patients above 60 years (p=0.002). Prevalence of CHIP was associated with an inferior overall survival (p=0.004) and event-free survival (p=0.03). It was also associated with increased risk of biopsy-confirmed tMN (p=0.03) and higher probability of receiving blood transfusions after autologous transplant (p=0.027). Especially patients with mutations in DNA damage response genes PPM1D and TP53 (found in 48 pts, 8.3%) had a significantly increased risk of adverse outcomes. Both overall survival and event-free survival were significantly poorer with the presence of DNA damage pathway mutations (p 〈 0.0001 for both, Figure 1A), as well as risk of tMN (p=0.01). In addition, PPM1D/TP53 mutations were associated with increased rates of any secondary cancer (p=0.004), including non-hematological cancer, and hospital admissions with severe infections (p=0.01, Figure 1B). The impact of low-level mutations and statistical modelling of interactions between parallel outcomes will be presented at the meeting. Conclusion: To our knowledge this is the first population-based study of clonal hematopoiesis in patients with lymphoma. We find that CHIP and particularly mutations in DNA damage response genes (PPM1D/TP53) are associated with increased mortality, which confirms findings from single center studies. These data support the evaluation of CHIP for risk assessment in lymphoma patients before high-dose chemotherapy. Our study also identifies increased rates of several clinically relevant adverse outcomes (severe infections, blood transfusions and secondary cancers) in lymphoma patients with clonal hematopoiesis. Figure 1. Figure 1. Disclosures Grønbæk: Janssen Pharma: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Otsuka Pharma: Membership on an entity's Board of Directors or advisory committees.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2018
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 2
    In: Blood, American Society of Hematology, Vol. 138, No. Supplement 1 ( 2021-11-05), p. 3942-3942
    Abstract: The advent of novel immunotherapy (CAR-T cell therapy, bispecific CD20×CD3 antibodies) have highlighted the importance of T-cells in the treatment of lymphoma. However, overall T-cell characteristics have not been properly examined in patients receiving conventional chemotherapy. Next-generation sequencing (NGS) of the T-cell receptor (TCR) has enabled the possibility of identifying hundred thousands of unique T-cell clones in a single patient sample. Here we analyzed the impact of systemic TCR diversity and T-cell clonotypes in patients with Non-Hodgkin lymphoma (NHL) and Hodgkin-lymphoma (HL) receiving high-dose chemotherapy with stem cell support (HDT/ASCT). Autologous peripheral blood stem cell harvest samples from patients with lymphoma (predominantly B-cell NHL) were collected as part of a national population-based study (Husby et al. - Leukemia 2020). We performed high-throughput RNA-based sequencing of the V, D and J segment of the TCR β-chain to identify unique clonal rearrangements. To ensure supreme quality for TCR repertoire calculations, samples with less than 100.000 aligned reads to the TCR β chain were omitted from further analysis. By using the MiXCR bioinformatic pipeline we analyzed the number of unique clonotypes and TCR repertoire diversity, as calculated by the Simpson index. T-cell clonotype and diversity were for categorical analyses split in two groups by the median, respectively. A total of 96 patients with lymphoma who were intended for HDT/ASCT were included and analyzed for TCR characteristics. In brief, median age was 56 years, 64% were male and major subtypes were diffuse large B-cell lymphoma (37%), follicular lymphoma (24%), Hodgkin lymphoma (16%), and mantle cell lymphoma (14%). Median follow-up time was 6.7 years. Number of unique T-cell clonotypes was not associated with age (Fig. 1A), but low levels were highly associated with inferior survival (Fig. 1B, p=0.008), especially in the first year of follow-up. In contrast, elderly patients had a trend toward lower TCR diversity (Fig. 1C, p=0.08), but this did not impact overall survival (Fig. 1D). Low T-cell clonotype levels was also significantly associated with presence of clonal hematopoiesis (Fig. 1E, p=0.033). No association with clonal hematopoiesis was found with regard to TCR diversity (Fig. 1F). Furthermore, we investigated TCR repertoire in relation to subsequent severe infections (defined as sepsis, pneumonia, or invasive fungal infection). Number of unique T-cell clonotypes did not have an impact (Fig. 1F), but remarkably patients with a high T-cell diversity had significant increased incidence of severe infections in the first 500 days after sampling (Fig. 1G, p=0.029). This implies that patients who have a high T-cell diversity before high-dose chemotherapy, are more capable of mounting an immune response against infectious pathogens. These findings should be validated in larger homogenous cohorts. However, they imply the importance of inherent immune characteristics in patients with lymphoma. Although the immune response is exceedingly complex, we have identified systemic T-cell characteristics that associate with several important clinical variables. Assessment of systemic immunological parameters in patients with aggressive lymphoma may in the future inform on choice of optimal personalized therapy. Figure 1 Figure 1. Disclosures El-Galaly: ROCHE Ltd: Ended employment in the past 24 months; Abbvie: Other: Speakers fee. Larsen: Odense University Hospital, Denmark: Current Employment; Celgene: Consultancy; BMS: Consultancy; Novartis: Consultancy; Gilead: Consultancy.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2021
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
    Library Location Call Number Volume/Issue/Year Availability
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