scholarly journals Cell-Free DNA Genotyping Analysis in Diffuse Large B-Cell Lymphoma; The Correlation between TP53 Gene Mutation and Cereblon Gene Mutation

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2786-2786
Author(s):  
Hideki Uryu ◽  
Yuko Mishima ◽  
Yuji Mishima ◽  
Masahiro Yokoyama ◽  
Noriko Nishimura ◽  
...  
Keyword(s):  
B Cell ◽  
Gene Mutation ◽  
Research Funding ◽  
Tp53 Mutation ◽  
Gene Mutations ◽  
B Cell Lymphoma ◽  
Large B Cell Lymphoma ◽  
Tumor Specimen ◽  
Germinal Center B Cell ◽  
Somatic Gene

Introduction: Recently cell-free DNA (cfDNA) genotyping analysis has been utilized as a non-invasive procedure for detecting tumor specific genes or clarifying gene mutations instead of tumor sample biopsies. In diffuse large B-cell lymphoma (DLBCL), cfDNA analysis has been proceeding and the relationships between somatic gene mutation and the disease status have been considered. We retrospectively analyzed somatic gene mutations in DLBCL and examined the correlation between mutant genes and clinical outcomes by using serum cfDNA samples. Patients and Methods: 50 patients newly diagnosed with DLBCL (including 4 patients mixed with follicular components) in our institute between March 2016 and March 2017 were enrolled in this study. All cases were sub-divided into germinal center B-cell (GCB) or non-germinal center B-cell (NGC) through immuno-staining, as CD10, bcl-6, and MUM-1 as Hans algorithm with biopsied tumor specimen. The stage at diagnosis and evaluation of treatment effects were assessed by PET-CT scan and bone marrow aspiration. All patients were treated by R-CHOP-like regimens with or without radiation. The serum samples from the patients were obtained before treatment and the cfDNA was extracted from the serum using a Maxwell RSC cfDNA Plasma kit. Using genomic DNA derived from cfDNA, multiplex polymerase chain reaction (PCR) was performed, and a sequence library was then constructed with an Ion Custom Amplicon panel. The panel for the sequence library was designed using an Ion AmpliSeq DesignerTM. 121 targeted genes were selected. The genomes were sequenced using the Ion ProtonTM System. We compared the validation of the sequence results dependent on the characteristics and prognoses of the patients. Connections between each gene mutation and clinical features were assessed using Fisher's exact test. Mann-Whitney U test was used for evaluating factors associated with the number of gene mutations. Survivals were estimated by the Kaplan-Meier method and differences were compared using the log-rank test. This protocol was approved by the institutional review board and the Genomic Review Board of the Japanese Foundation for Cancer Research. Results: Median age was 65.4 years old (range 33-83), 27 patients were male and 23 were female. The stage of Ⅲ or Ⅳ were 17 (34%), IPI high or high intermediate were 17 (34%), and 20 (40%) had LDH>ULN. 27 patients (54%) were GCB and 23 (46%) were NGC. With a median follow up was 26.6 months (range 6-35). Factors affecting both shorter overall survival (OS) and progression-free survival (PFS) were LDH>ULN (P=0.037 and P<0.001), NGC (P=0.012 and P=0.002), IPI≧3 (P=0.023 and P<0.001) in univariate analysis. According to the cfDNA gene mutation analysis, the mutations of HDAC4 (88%), KDM3B (86%), HDAC6 (86%), KDM1A (84%), CREBBP (80%), JMJD1C (78%), and EGR1 (62%) were frequently detected in all DLBCL patients. CREBBP, PCLO, and KDM5A tended to be relatively abundant in NGC (P=0.084, 0.087, and 0.085, respectively). No other mutations had deviation in either GCB or NGC and correlated with other prognostic factors. 7 patients had TP53 mutation, 6 were TP53 p.N178H and 1 was TP53 p.P58L. All cases with TP53 p.N178H mutation were accompanied by more than 27 types of other gene mutations. This was significantly abundant compared to patients without TP53 p.N178H (mean of 38 types vs 16 types, P<0.001). Patients with 15 or more types of gene mutations tended toward poor PFS (2-year PFS of 89.5% vs 77.2%, P=0.092). Additionally, 7 patients had cereblon (CRBN) p.F101S mutation and 5 of 7 were concurrent with TP53 p.N178H mutation. Discussion and Conclusion: This study showed serum cfDNA could be used as an alternative resource for analysis by tumor specimen. Our results indicated that TP53 mutation occurred in latter period undergoing multistep genetic variation and it showed the tendency that multistep mutations were related to poor prognosis. Interestingly, relative rate in TP53 mutation accompanied by CRBN mutation was high. In some reports, it was described that deletion p53 caused drug resistance including immunomodulator which targets CRBN in multiple myeloma cases. Zijun Y et al mentioned CRBN expression correlated with favorable prognosis in DLBCL with wild type TP53. Further studies are warranted to confirm the relationships between TP53 and CRBN mutations and its prognosis of DLBCL. Disclosures Mishima: Chugai-Roche Pharmaceuticals Co.,Ltd.: Consultancy. Yokoyama:Chugai-Roche Pharmaceuticals Co.,Ltd.: Consultancy. Nishimura:Celgene K.K.: Honoraria; Chugai-Roche Pharmaceuticals Co.,Ltd.: Consultancy. Hatake:Takeda Pharmaceutical Co.,Ltd.: Honoraria; Celgene K.K.: Research Funding; Janssen Pharmaceutical K.K.: Research Funding. Terui:Bristol-Myers Squibb, Celgene, Janssen, Takeda, MSD, Eisai, Ono, and Chugai-Roche Pharmaceuticals Co.,Ltd.: Honoraria; Bristol-Myers Squibb K.K.: Research Funding.

Post-Transplant Diffuse Large B Cell Lymphoma with Non Germinal Center B-Cell Subtype Frequently Lacks Programmed Cell Death Ligand (PD-L1) Overexpression Which May Influence Overall Outcomes

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3054-3054
Author(s):  
Zohra Nooruddin ◽  
Zenggang Pan ◽  
Lilyana Gross ◽  
Weitzenkamp David ◽  
Bradley M. Haverkos ◽  
...  
Keyword(s):  
B Cell ◽  
Germinal Center ◽  
Research Funding ◽  
Cell Lymphoma ◽  
B Cell Lymphoma ◽  
Advisory Board ◽  
Post Transplant ◽  
Large B Cell Lymphoma ◽  
Improved Outcomes ◽  
Germinal Center B Cell

Abstract Background : Post Transplant Lymphoproliferative disorder (PTLD) represents a distinct and rare complication following solid organ transplantation (SOT). Insight into the biology of this disorder is limited to retrospective reviews and case series. In one of the first reports for post-transplant Diffuse Large B cell Lymphoma (PT-DLBCL) cases, we demonstrated a higher incidence and improved outcomes in PT-DLBCL non-germinal center B-cell (non-GCB) subtype compared to PT-DLBCL germinal center B-cell (GCB) Subtype. Published data suggests immunocompetent DLBCL non-GCB subtypes are less common and fare worse than immunocompetent GCB DLBCL. The reason for this unexpected finding in our PT-DLBCL pts is not fully understood. Recently Kiyasu and colleagues demonstrated that PD-L1 overexpression was significantly associated with non-GCB DLBCL, EBV virus positivity and poor prognosis in immunocompetent DLBCL samples. Therefore based on this we hypothesized that PT-DLBCL non-GCB subtype may have negative PD-L1 overexpression thus possibly accounting for improved outcomes compared to their immunocompetent counterparts. Hence we sought to test PD-L1 expression in our samples with PT-DLBCL. Methods: With IRB approval, we retrospectively identified PT- DLBCL patients treated at the University of Colorado between Jan 1989 to April 2015. We retrieved formalin fixed paraffin embedded PT-DLBCL tissue specimens and determined cell of origin by the Hans Algorithm. We assessed PD-L1 expression by immunohistochemistry. PD-L1 positive PT-DLBCL was defined as 30% of more of the lymphoma cells showing distinct membranous and or cytoplasmic staining. In addition EBER-ISH was performed to assess EBV status. Results: 86 adult SOT pts with PTLD were treated at our institution. 75 of 86 pts (87%) had monomorphic histology. Among monomorphic PTLD, 64% (48 of 75) had DLBCL. The median age at transplantation was 49.5 yrs (5-74 yrs). Median time from SOT to PTLD was 37 mos (1.4-499). The most common transplanted organ included kidney (40%), liver (38%), lung (13%) and heart (9%). 31% had early PTLD (<12mos of SOT) and 69% had late PTLD (>12mos of SOT). 60% were EBV positive. 77% with early PTLD and 49% with late PTLD were EBV positive. Due to a paucity of archived tissue blocks, IHC staining was applied to 32/48 samples with DLBCL. Non-GCB subtype was identified in 75% (24/32) samples and GCB subtype in 25% (8/32) samples. Of the 48 pts with PT-DLBCL histology, PD-L1 stain was performed on 18 samples. Of the 18 PT-DLBCL samples, 77% (14/18) had non-GCB subtype and 16% (3/18) had GCB subtype. PD-L1 expression was negative in 78% (11/14) and positive in 22% (3/14) of non-GCB DLBCL samples. PD-L1 expression was negative in 100% (3/3) of GCB DLBCL samples. The sample size was too small to effectively describe the survival experience of pt subsets. Using Fisher's exact test we found no evidence to support an association between EBV Status and PDL1 expression (p-value 0.316). Conclusions: We previously reported in our consecutive series of PTLD after SOT an increased incidence and improved survival in pts with PT-DLBCL non-GCB subtype (ASH 2015) compared to PT-DLBCL GCB subtype. The reason for this is not fully understood. However, our limited series reveals that a majority of pts with PT- DLBCL non-GCB subtype was negative for PD-L1 overexpression. This might explain the improved outcomes in the PT-DLBCL non-GCB population. Despite a small sample size it is also interesting to note that 100% pts with PT-DLBCL GCB subtype were negative for PD-L1 overexpression. In the era of immunotherapy further studies in larger patient cohorts are warranted in order to understand the unique biology and outcomes of PT-DLBCL since it may have therapeutic implications. Disclosures Pollyea: Celgene: Other: advisory board, Research Funding; Ariad: Other: advisory board; Alexion: Other: advisory board; Pfizer: Other: advisory board, Research Funding; Glycomimetics: Other: DSMB member. Kamdar:Seattle Genetics: Speakers Bureau.

Genetic Alterations of Gα13 Signaling Pathway with BCL2 over-Expression Confers Lymphoma Dissemination and Inferior Outcome in Germinal Center B Cell Diffuse Large B Cell Lymphoma

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 111-111
Author(s):  
Daisuke Ennishi ◽  
Anja Mottok ◽  
Hennady Shulha ◽  
Pedro Farinha ◽  
Fong Chun Chan ◽  
...  
Keyword(s):  
B Cell ◽  
Signaling Pathway ◽  
Germinal Center ◽  
Research Funding ◽  
Cell Lymphoma ◽  
B Cell Lymphoma ◽  
Genetic Alterations ◽  
Over Expression ◽  
Large B Cell Lymphoma ◽  
Germinal Center B Cell

Abstract Background: Diffuse large B cell lymphoma (DLBCL) is divided into two distinct molecular subtypes, germinal center B cell (GCB) subtype and activated B cell (ABC) subtype. Genetic landscape studies of DLBCL have revealed several GCB-DLBCL specific mutations, including CREBBP, GNA13, EZH2, TNFRSF14, BCL2 and MEF2B. Functional studies have recently shown that the inactivation of Gα13 signaling pathway genes, including GNA13, together with BCL2 over-expression, allows GC B-cells to escape the germinal center niche and widely disseminate. Although these findings revealed a critical role of genetic alterations of Gα13 signaling pathway in GC-driven mouse models of lymphomagenesis, clinical correlation is lacking. Here we analyzed the clinical impact of genetic alterations of Gα13 signaling pathway in a large population-based DLBCL cohort. Methods: We analyzed 347 newly diagnosed de novo DLBCL cases that were uniformly treated with R-CHOP at the BC Cancer Agency. Comprehensive clinical annotation was available through the BCCA Lymphoid Cancer Database. Deep targeted re-sequencing of the coding exons of GNA13, P2RY8, ARHGEF1, S1PR2 and RHOA was performed using a Truseq Custom Amplicon assay (Illumina) and/or Fluidigm Access Array chips. High-resolution copy number analyses were performed using Affymetrix SNP 6.0 arrays. Immunohistochemical staining and break-apart FISH assays for MYC and BCL2 were performed on tissue microarrays (n=332). Cell-of-origin classification was available in 331 cases, according to gene expression profiling by the Lymph2Cx assay using the NanoString platform (Scott, Blood 2014; 123) in 299 patients and the Hans algorithm (Hans, Blood 2004; 103) in 32 cases with low tumor content (<40%). Results: Using next generation sequencing, 225 SNVs and 5 Indels were detected in GNA13 (16%), P2RY8 (18%), ARHGEF1 (6%), S1PR2 (3%) and RHOA (6%). SNP 6.0 microarrays revealed heterozygous deletions in GNA13 (2%), ARHGEF1 (1%), S1PR2 (4%) and RHOA (8%), but homozygous deletion was not found in any of these five loci. GNA13, P2RY8 and ARHGEF1 mutations were significantly more frequent in the GCB subtype than ABC subtype (26% vs. 6%; p<.0001, 25% vs 7%; p=.0002, and 8% vs. 5%; p=.008, respectively). 185 GCB-DLBCL cases were further analyzed for clinical correlations. In the cases with mutations of any of the five Gα13 signaling pathway genes, BCL2 over-expression (cut off; 50%) and translocation was associated with increasing stage (p=.018 and p=.005, respectively), but not in wt cases (p=.53 and p=.63, respectively). Specifically, in the cases with GNA13 and P2RY8 mutations individually, BCL2 over-expression was associated with advanced stage (stage III/IV, p=.018 and p=.037, respectively), but not in wild type (wt) cases. Importantly, BCL2 over-expression in the cases harboring Gα13 pathway mutations was not significantly associated with other poor risk features, including any other IPI factors or bone marrow involvement, indicating that genetic alterations in Gα13 signaling pathway accompanied by BCL2 over-expression might promote lymphoma dissemination into lymph nodes but not extranodal sites. With a median follow up of 6.5 years for living patients, there was no prognostic impact of harboring any isolated Gα13 pathway mutation in GCB-DLBCL patients. However, in cases with any Gα13 pathway mutations, BCL2 over-expression was significantly associated with an inferior 5y-time to progression (TTP; 90% vs 62%, p=.003) and disease-specific survival (DSS; 90% vs 71%, p=.042), but not in wt cases (Fig 1). In a Cox model of TTP including the IPI, BCL2 over-expression remained prognostic in the cases harboring any Gα13 pathway mutations (HR=4.13 [1.42-12.01], p=.009), but not in wt cases (HR=1.70 [0.62-4.68], p=.31). In cases with any Gα13 pathway alterations including copy number loss, BCL2 over-expression was also significantly associated with an inferior TTP (HR=3.64 [1.39-9.57], p=.009) independent of IPI, but not in the cases without genetic alterations (HR=1.75 [0.57-5.34], p=.33). Conclusions: Genetic alterations in Gα13 signaling pathway genes cooperate with BCL2 over-expression to promotes lymphoma dissemination to nodal sites and is associated with the poor outcome in GCB-DLBCL Figure 1. TTP and DSS according to BCL2 over-expression with/without Gα13 signaling pathway mutations in GCB-DLBCL patients (n=185) treated with R-CHOP Figure 1. TTP and DSS according to BCL2 over-expression with/without Gα13 signaling pathway mutations in GCB-DLBCL patients (n=185) treated with R-CHOP Disclosures Savage: Seattle Genetics: Honoraria, Speakers Bureau; BMS: Honoraria; Infinity: Honoraria; Roche: Other: Institutional research funding. Connors:Roche: Research Funding; Seattle Genetics: Research Funding. Scott:Celgene: Consultancy, Honoraria; NanoString: Patents & Royalties: Inventor on a patent that NanoString has licensed.

scholarly journals Novel Epigenetic Vulnerabilities for Diffuse Large B-Cell Lymphoma

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 2600-2600
Author(s):  
Deepak Jha ◽  
George Q. Daley ◽  
Benoit Laurent ◽  
Cheng Zhang ◽  
Caroline Kubaczka ◽  
...  
Keyword(s):  
Gene Expression ◽  
B Cell ◽  
Germinal Center ◽  
Research Funding ◽  
Cell Lymphoma ◽  
B Cell Lymphoma ◽  
Large B Cell Lymphoma ◽  
Germinal Center B Cell ◽  
Bcr Signaling ◽  
Expression Program

Abstract Diffuse Large B Cell Lymphoma (DLBCL) is the most common form of B-cell Non-Hodgkin Lymphoma (NHL), representing a third of all new cases. DLBCL is further sub-divided into various molecular sub-types based on gene expression and co-occurring genetic alterations. Gene expression based- subtypes include the germinal center B-cell (GCB) and the activated B-cell type (ABC) subtypes, with the ABC sub-type having a poorer prognosis than the GCB sub-type. Interestingly, 30-40% of all DLBCL patients harbor mutations in key epigenetic regulators, EZH2, KMT2D, CREBBP, EP300, and mutations in histone proteins themselves. Through an unbiased cell-based phenotypic screen, we discovered that inhibition of lysine demethylases, specifically KDM4C and KDM4A, represents a vulnerability across 15 different DLBCL cell lines including germinal center B-cell (GCB) and activated B-cell (ABC) type lines, with a GI50 value between 75nM to ~200nM, while sparing leukemia lines. Consistently, treatment of xenograft-based animal models of DLBCL with a low dose of KDM4A/KDM4C inhibitor delivered intra-peritoneally three times a week, results in a drastic reduction of tumor burden. Both KDM4A and KDM4C catalyze the removal of histone H3 K9 di- and tri-methylation (H3K9me2/3) and H3K36 di- and tri-methylation (H3K36me2/3). H3K9me2/3 is associated with promoter and enhancer repression, while H3K36me2/3 is present in gene bodies during transcription but also functions as a chromatin repressor Consistently, we have identified key enhancers, including those associated with IKZF1, that are "decommissioned" after inhibition of KDM4A/KDM4C. Repressed enhancer activity, through loss of H3K27 acetylation and H3K4me1, and gain of H3K9me2/3, results in a rapid transcriptional downregulation of IKZF1 and its partners including IKZF3. Given the role of IKZF1 in the transcriptional regulation of key B Cell Receptor (BCR) signaling components, we show that KDM4A/KDM4C inhibition leads to a downregulation of SYK, a proximal BCR-signaling component, which likely precedes DLBCL cell apoptosis. In addition, we observed an activation of extra-lineage transcription factors such as CEBPA and CEBPB, which are normally repressed by IKZF1 in the lymphoid lineage. A concomitant downregulation of the B-cell gene expression program and an upregulation of the myeloid (CD14+ monocytic) gene expression program is also observed, implying a "trans-differentiation" of DLBCL cells into the monocyte lineage. This lineage-switch correlates with an increased population of CD14+ expressing cells. Finally, using DLBCL patient data sets, we can show that over-expression of either KDM4A or KDM4C is associated with poor prognosis in DLBCL patients. In summary, we have discovered that KDM4A/KDM4C inhibition results in an increase of repressive histone modifications at several intra-genic "enhancers" of genes that are responsible for the survival and proliferation of DLBCL cells. The elucidation of this unique epigenetic mechanism provides a strong rationale for the development of novel targeted therapies against both multiple subtypes of DLBCL. Figure. Figure. Disclosures Shipp: Bayer: Research Funding; AstraZeneca: Honoraria; Merck: Research Funding; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.

scholarly journals Longitudinal Analyses of Diagnostic-Relapse Biopsies of Diffuse Large B Cell Lymphoma Reveal a Poor Risk Subset of ABC Patients Based on the Expression of a 30 Gene Panel

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2769-2769
Author(s):  
Findlay Bewicke-Copley ◽  
Koorosh Korfi ◽  
Shamzah Araf ◽  
Emil Arjun Kumar ◽  
Thomas E C Cummin ◽  
...  
Keyword(s):  
Gene Expression ◽  
High Risk ◽  
B Cell ◽  
Board Of Directors ◽  
Research Funding ◽  
Cell Lymphoma ◽  
Gene Mutations ◽  
B Cell Lymphoma ◽  
Advisory Committees ◽  
Large B Cell Lymphoma

Background: Although diffuse large B cell lymphoma (DLBCL) can be cured using immuno-chemotherapy, 40% of patients experience relapse or refractory disease. Large-scale profiling studies have mainly focused on DLBCL at diagnosis, resolving different outcome groups based on gene expression (e.g. cell-of-origin (COO) or molecular high grade), MYC/BCL2 translocations (double-hit lymphoma) or gene mutations and copy number aberrations (Schmitz et al, NEJM 2018; Chapuy et al, NatureMedicine 2018). In comparison, longitudinal studies have been hindered by the limited availability of sequential biopsy samples. To date, the relapse-specific gene mutations identified are limited and inconsistent across studies. In our study, we have focussed attention on the changes in gene expression profile (GEP) accompanying DLBCL relapse. Methods: We retrospectively collected archival paired diagnostic/relapse formalin fixed paraffin embedded tumor biopsies from 38 de novo DLBCL patients collected from multiple UK sites treated with rituximab-based immuno-chemotherapy, where partial or complete remission was reported following treatment. COO classification was performed by the Lymph2Cx assay on NanoString to distinguish activated B-cell-like (ABC) and germinal center B-cell-like (GCB) subtypes. The Ion AmpliSeq™ Transcriptome Human Gene Expression Kit was used to measure the expression levels of > 20,000 genes on the paired samples. Results: COO remained stable from diagnosis to relapse in 17 ABC-ABC pairs, 11 GCB-GCB pairs and 4 unclassified (UNC)-UNC pairs. Frank COO switching was observed in 6 cases (1 ABC-GCB, 2 ABC-UNC, 2 GCB-UNC, 1 UNC-ABC). Pairs with stable COO were taken forward for further analysis. Gene expression analysis using the limma R package identified 163 and 136 genes as differentially expressed (DE) (p <= 0.01 and absolute log2FC > 1) between the diagnostic and relapse biopsies in ABC and GCB tumors respectively, with only a one gene overlap. Gene Set Enrichment Analysis further suggested that ABC and GCB relapses are mediated via different mechanisms, with tumor growth and proliferation signatures enriched in ABC relapses, whilst adaptive immunity-related signatures accompanied GCB relapses. Next, we aimed to utilise our relapse-specific genes to identify outcome predictors at diagnosis using publicly available GEP datasets. In order to increase our discovery power and accuracy, a larger set of DE genes from the paired differential analysis (796 genes in ABC pairs and 387 from GCB pairs) were selected (p <= 0.05) and subsequently used in a training cohort (GEP from Reddy et al, Cell 2017). The Prediction Analysis for Microarrays R (PAMR) algorithm identified a 30-gene signature within DE genes from ABC pairs (Fig1.A), capable of separating the 249 ABC cases into 136 low and 113 high-risk cases with significantly inferior overall survival (Hazard Ratio (HR)=1.89, log-rank p=0.0017, measure of goodness-of-fit C-index=0.71; Fig1.B). No equivalent signature was found in the GCB cases using this approach. The prognostic significance of this 30-gene discriminator was successfully validated using a linear predictor in two independent GEP datasets: 1) a population-based cohort (Lenz et al, NEJM 2008) with 93 R-CHOP-treated ABC cases identifying 47 low and 46 high-risk cases (HR=1.92, p=0.046, C-index=0.77; Fig1.C) and 2) a clinical trial dataset (REMoDL-B, Davies et al, Lancet Oncol 2019) with 255 ABC cases identifying 110 low and 145 high-risk ABC cases (HR=1.95, p=0.0051, C-index=0.70; Fig1.D). Conclusions: Here we describe a 30-gene discriminator in ABC-DLBCL, derived from genes differentially expressed between diagnosis and relapse, that allowed the definition of clinically distinct high and low risk subgroups in ABC-DLBCLs at diagnosis. The clinical translation of such a tool may be useful to guide therapy for this unfavourable subgroup of ABC-DLBCLs. Validation of this signature is currently underway in additional datasets and further study is required to understand the contribution of these genes in DLBCL pathology. Disclosures Korfi: Roche: Consultancy. Burton:Celgene: Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees. Rule:TG Therapeutics: Consultancy, Honoraria; Napp: Consultancy; Kite: Consultancy; Pharmacyclics: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; Sunesis: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria, Research Funding; Astra-Zeneca: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Crosbie:Janssen: Honoraria. Scott:Celgene: Consultancy; Janssen: Consultancy, Research Funding; NanoString: Patents & Royalties: Named inventor on a patent licensed to NanoSting [Institution], Research Funding; Roche/Genentech: Research Funding. Rimsza:NanoSting: Patents & Royalties: Named inventor on a patent licensed to NanoSting [Institution]. Davies:Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Research Funding; Bayer: Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Research Funding; Karyopharma: Membership on an entity's Board of Directors or advisory committees, Research Funding; GSK: Research Funding; Acerta Pharma: Honoraria, Research Funding; ADCT Therapeutics: Honoraria, Research Funding; BioInvent: Research Funding; Kite Pharma: Membership on an entity's Board of Directors or advisory committees; MorphoSys AG: Honoraria, Membership on an entity's Board of Directors or advisory committees. Gribben:Abbvie: Consultancy, Honoraria, Research Funding; Acerta/Astra Zeneca: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding. Okosun:Gilead Sciences: Honoraria, Research Funding. Johnson:Epizyme: Honoraria, Research Funding; Novartis: Honoraria; Kite: Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria; Boehringer Ingelheim: Honoraria; Takeda: Honoraria; Genmab: Honoraria; Celgene: Honoraria; Incyte: Honoraria. Fitzgibbon:Epizyme: Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Speakers Bureau.

scholarly journals Open-Labeled, Multicenter Phase II Study of Bortezomib for Maintenance Therapy in Patients with High Risk Diffuse Large B Cell Lymphoma (DLBCL): Borma Trial from Consortium for Improving Survival of Lymphoma (CISL)

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2884-2884
Author(s):  
Jae-Cheol Jo ◽  
Ho Sup Lee ◽  
Cheolwon Suh ◽  
Hye Jin Kang ◽  
Won Seog Kim ◽  
...  
Keyword(s):  
High Risk ◽  
Maintenance Therapy ◽  
B Cell ◽  
Research Funding ◽  
Maintenance Treatment ◽  
Cell Lymphoma ◽  
B Cell Lymphoma ◽  
High Risk Patients ◽  
Large B Cell Lymphoma ◽  
Risk Patients

Background: High-intermediate or high risk in international prognostic index (IPI) has a long-term chance of cure in the range about 50% in patients with diffuse large B cell lymphoma (DLBCL) treated by R-CHOP. These high risk patients should be considered for additional new treatment to standard R-CHOP or investigational approaches in the context of clinical trials that are designed to ensure that potentially curative therapy. Bortezomib inhibits NF-κB activation through proteasome inhibition, providing rationale for its use in cells that constitutively express NF-κB. Non-germinal center B cell (GCB) DLBCL has a worse survival after upfront chemotherapy and is characterized by constitutive activation of the antiapoptotic NF-κB pathway, which can inhibit chemotherapy. There is no study of bortezomib as maintenance therapy after treated with R-CHOP in high risk patients with DLBCL. So we applied additional bortezomib as maintenance therapy in order to assess improving efficacy and survival rates in high risk patients with non-GCB DLBCL who had been confirmed complete response (CR) after treated with R-CHOP. Methods: Patients with newly diagnosed stage II(bulky)-IV DLBCL with high or high intermediate IPI score of 3 to 5, and patients achieving a CR at the end of 6 or 8 cycles of R-CHOP21 were eligible for enrollment. Non-GCB DLBCL according to Hans criteria confirmed by central review was need before enrollment. Bortezomib maintenance treatment was consisted of bortezomib 1.3mg/m2 subcutaneously administration day 1 and day 15 per 28-day cycle with a total of 12 cycles. The primary endpoint was 3-year progression-free survival (PFS). Secondary endpoints were 3-year overall survival (OS), and toxicites. Toxicity was graded according to the Common Terminology Criteria for Adverse Events v4.0. Results: Fifty-nine patients were enrolled between May 2014 and Oct 2018. The type of Non-GCB DLBCL in all patients was confirmed by the central pathology review. The median age was 65 years (range: 27-86 years), and 60% were > 61 years. The baseline clinical features were as follows: female sex, 45.8%; ECOG >1, 10.2%; stage II bulky (>10cm), 6.8%; stage III/IV, 93.2%. At the time of analysis, 29 patients completed 12-cycles of bortezomib maintenance, and 3 patients is ongoing. Seven patients did not finished maintenance therapy due to toxicities (fatigue, atrial flutter, neuropathy, pleural effusion, thrombocytopenia), and withdrawal of informed consent (n=4). Sixteen patients experienced disease progression during bortezomib maintenance treatment. With a median follow-up of 25.1 months, 3-year PFS rate was 56.9% and 3-year OS rate was 86.4% (Figure 1). Toxicity was assessed in 489 cycles of bortezomib maintenance in all 59 patients. There was no treatment-related death and febrile neutropenia. Conclusion: Bortezomib maintenance showed 3-year PFS rate of 56.9% with acceptable toxicities in patients with high risk DLBCL achieving a CR at the end of 6 or 8 cycles of R-CHOP21. Figure 1 Disclosures Kim: Celltrion: Research Funding; Novartis: Research Funding; J + J: Research Funding; Donga: Research Funding; Kyowa-Kirin: Research Funding; Novartis: Research Funding; F. Hoffmann-La Roche Ltd: Research Funding.

scholarly journals Relapses after Achieving EFS24 in Patients with Diffuse Large B-Cell Lymphoma in the Rituximab Era

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 454-454 ◽  
Author(s):  
Yucai Wang ◽  
Umar Farooq ◽  
Brian K. Link ◽  
Mehrdad Hefazi ◽  
Cristine Allmer ◽  
...  
Keyword(s):  
B Cell ◽  
Cumulative Incidence ◽  
Research Funding ◽  
Cell Lymphoma ◽  
B Cell Lymphoma ◽  
Salvage Chemotherapy ◽  
Newly Diagnosed ◽  
Indolent Lymphoma ◽  
Large B Cell Lymphoma ◽  
Large B Cell

Abstract Introduction: The addition of Rituximab to chemotherapy has significantly improved the outcome of patients with newly diagnosed diffuse large B-cell lymphoma (DLBCL). Patients treated with immunochemotherapy for DLBCL who achieve EFS24 (event-free for 2 years after diagnosis) have an overall survival equivalent to that of the age- and sex-matched general population. Relapses after achieving EFS24 have been considered to be unusual but have been understudied. We sought to define the rate, clinical characteristics, treatment pattern, and outcomes of such relapses. Methods: 1448 patients with newly diagnosed DLBCL from March 2002 to June 2015 were included. Patients were enrolled in the Molecular Epidemiology Resource (MER) of the University of Iowa/Mayo Clinic Lymphoma SPORE, treated per physician choice (predominantly R-CHOP immunochemotherapy) and followed prospectively. An event was defined as progression or relapse, unplanned re-treatment after initial therapy, or death from any cause. Cumulative incidence of relapse and non-relapse mortality after achieving EFS24 were analyzed as competing events using Gray's test in the EZR software. Post-relapse survival was defined as time from relapse to death from any cause and analyzed using Kaplan-Meier method in SPSS (V22). Results: Among the 1448 patients, 1260 (87%) had DLBCL alone at diagnosis, and 188 (13%) had concurrent indolent lymphoma (follicular lymphoma 115, marginal zone lymphoma 18, chronic lymphocytic leukemia 14, lymphoplasmacytic lymphoma 4, unspecified 37) at diagnosis. After a median follow-up of 83.9 months, 896 patients achieved EFS24. For all 896 patients who achieved EFS24, the cumulative incidence of relapse (CIR) was 5.7%, 9.3% and 13.2%, respectively, at 2, 5 and 10 years after achieving EFS24. Patients with concurrent indolent lymphoma at diagnosis had a higher CIR compared to those with DLBCL alone at diagnosis (10.2 vs 4.8% at 2 years, 15.7 vs 8.0% at 5 years, 28.8 vs 9.7% at 10 years, P<0.001; Figure 1). There were a total of 84 patients who relapsed after achieving EFS24. The median age at initial diagnosis was 66 years (range 35-92), and 48 (57%) were male. At diagnosis, 11 (13%) had ECOG PS >1, 37 (50%) had LDH elevation, 62 (74%) were stage III-IV, 14 (17%) had more than 1 extranodal site, and 26 (31%) were poor risk by R-IPI score. There were 58 patients with DLBCL alone at diagnosis who relapsed after achieving EFS24, and 38 (75%) relapsed with DLBCL, 13 (25%) relapsed with indolent lymphoma (predominantly follicular lymphoma), and pathology was unknown in 7 patients. In contrast, there were 26 patients with concurrent indolent lymphoma at diagnosis who relapsed after achieving EFS24, and 9 (41%) relapsed with DLBCL, 13 (59%) relapsed with indolent lymphoma, and pathology was unknown in 4 patients. In the 47 patients who relapsed with DLBCL after achieving EFS24, 45% received intensive salvage chemotherapy, 19% received regular intensity chemotherapy, 9% received CNS directed chemotherapy, and 36% went on to receive autologous stem cell transplant (ASCT). In the 26 patients who relapsed with indolent lymphoma after achieving EFS24, 27% were initially observed, 54% received regular intensity chemotherapy, 4% received intensive salvage chemotherapy, and 19% received ASCT after subsequent progression. The median post-relapse survival (PRS) for all patients with a relapse after achieving EFS24 was 38.0 months (95% CI 27.5-48.5). The median PRS for patients who relapsed with DLBCL and indolent lymphoma after achieving EFS24 were 29.9 (19.9-39.9) and 89.9 (NR-NR) months, respectively (P=0.002; Figure 2). Conclusions: Relapses after achieving EFS24 in patients with DLBCL were uncommon in the rituximab era. Patient with DLBCL alone at diagnosis can relapse with either DLBCL or indolent lymphoma (3:1 ratio). Patients with concurrent DLBCL and indolent lymphoma at diagnosis had a significantly higher CIR, and relapses with DLBCL and indolent lymphoma were similar (2:3 ratio). Even with high intensity salvage chemotherapy and consolidative ASCT, patients who relapsed with DLBCL had a significantly worse survival compared to those who relapsed with indolent lymphoma. Late relapses with DLBCL remain clinically challenging, with a median survival of 2.5 years after relapse. Figure 1. Figure 1. Disclosures Maurer: Celgene: Research Funding; Nanostring: Research Funding; Morphosys: Research Funding. Witzig:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Ansell:Takeda: Research Funding; Pfizer: Research Funding; Affimed: Research Funding; Regeneron: Research Funding; Seattle Genetics: Research Funding; Celldex: Research Funding; LAM Therapeutics: Research Funding; Trillium: Research Funding; Merck & Co: Research Funding; Bristol-Myers Squibb: Research Funding. Cerhan:Celgene: Research Funding; Jannsen: Other: Scientific Advisory Board; Nanostring: Research Funding.

scholarly journals Late Relapses in Patients With Diffuse Large B-Cell Lymphoma Treated With Immunochemotherapy

2019 ◽  
Vol 37 (21) ◽  
pp. 1819-1827 ◽  
Author(s):  
Yucai Wang ◽  
Umar Farooq ◽  
Brian K. Link ◽  
Melissa C. Larson ◽  
Rebecca L. King ◽  
...  
Keyword(s):  
B Cell ◽  
Cell Lymphoma ◽  
B Cell Lymphoma ◽  
Late Relapse ◽  
Indolent Lymphoma ◽  
Large B Cell Lymphoma ◽  
Germinal Center B Cell ◽  
Competing Events ◽  
First Relapse ◽  
Large B Cell

PURPOSE In patients with diffuse large B-cell lymphoma (DLBCL), most relapses occur within the first 2 years of diagnosis. We sought to define the rate and outcome of late relapses that occurred after achieving event-free survival at 24 months (EFS24). METHODS We prospectively followed 1,324 patients with newly diagnosed DLBCL from 2002 to 2015 and treated with immunochemotherapy. Cumulative incidences of late DLBCL and indolent lymphoma relapses were analyzed as competing events. Postrelapse survival was defined as time from first relapse to death from any cause. RESULTS In 847 patients who achieved EFS24, the cumulative incidence of late relapse was 6.9% at 3 years, 9.3% at 5 years, and 10.3% at 8 years after EFS24. The incidence of DLBCL relapse was similar in patients with DLBCL alone at diagnosis (6.3% at 5 years), compared with patients with concurrent indolent lymphoma at diagnosis (5.2%; P = .46). However, the rate of indolent lymphoma relapse was higher in patients with concurrent indolent lymphoma (7.4% v 2.1% at 5 years; P < .01). In patients with DLBCL alone, the rate of DLBCL relapse was similar in the germinal center B-cell–like (GCB) (4.1% at 5 years) and non-GCB (4.0%; P = .71) subtypes, whereas the rate of indolent lymphoma relapse was higher in patients with the GCB subtype (3.9% v 0.0% at 5 years; P = .02). Postrelapse survival was inferior for patients who relapsed with DLBCL than for those who relapsed with indolent lymphoma (median 29.9 months v unreached; P < .01). CONCLUSION Patients with DLBCL with a concurrent indolent lymphoma and those with the GCB subtype had a higher rate of late relapse, owing to increased relapses with indolent lymphoma. Patients who relapsed with DLBCL had a worse prognosis than those who relapsed with indolent lymphoma.

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