Genetic Profiling and Novel Recurrent Chromosomal Alterations in Patients with Light Chain Amyloidosis

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4488-4488
Author(s):  
Isabel Cuenca ◽  
Beatriz Sanchez-Vega ◽  
Bruno Paiva ◽  
David Gomez-Sanchez ◽  
Santiago Barrio ◽  
...  

Abstract Introduction High-throughput sequencing studies have rendered seminal knowledge in monoclonal gammopathies such as multiple myeloma (MM) and Waldenström's macroglobulinemia (WM). Unfortunately, the low incidence of AL amyloidosis and its typically low tumor burden, often masked by a polyclonal plasma cell (PC) background, account for the limited information on its tumor cell biology. Thus, it remains unknown if AL amyloidosis harbors a unifying mutation as occurs in WM or if, in its absence, there are recurrent mutations and if these overlap with those observed in MM. With this background , the aim of this study is to perform a whole exome sequencing (WES) in a series of patients with AL amyloidosis and to compare mutational profiles in AL amyloidosis vs MM and analyze the copy number variation in this series of patients. Methods A total of 27 patients with confirmed diagnosis of AL were included. WES was performed in 56 paired samples of FACSorted bone marrow tumor plasma cells and peripheral blood mononucleated cells. Each tumor sample was captured in triplicate using Agilent's SureSelect Human All Exon V6 + UTR kit and sequenced on the Illumina NextSeq 500 platform. Data was analyzed with Strelka software to discard germinal mutations, ANNOVAR for functional annotation, and a data reduction strategy to identify candidate variants. The mutational signature was analyzed with Mutational Signatures in Cancer (MuSiCa) software. We used the MMRF CoMMpass dataset (895 patients) to compare the mutational landscape of MM vs AL. We also determined immunoglobulin gene rearrangements in AL by next generation sequencing. Besides, we analyzed the copy number variation (CNV) with CNVkit program. Results The mean depth coverage for control and tumor samples was 64x and 186x, respectively. A total of 1983 somatic SNV and 133 INDEL were identified, with an average of 71 (20-281) SNV and 5 (0-25) INDEL per patient. Overall, the most frequently mutated genes in this series were IGLL5 and MUC16 (recurrence of 17% each). When compared to MM (average of 66 SNV and 2,5 INDEL), we observed a similar mutational load. However, none of the most frequently mutated genes in MM (i.e. KRAS, NRAS, FAM46C, BRAF, TP53, DIS3, PRDM1, SP140, RGR1, TRAF3, ATM,CCND1, HISTH1E, LTB, IRF4, FGFR3,RB1, ACTG1, CYLD, MAX, ATR) were recurrently mutated in patients with AL. The only genes commonly mutated in AL amyloidosis and MM were MUC16 (recurrence of 17% and 8%, respectively) and IGLL5 (recurrence of 17% each).Most patients with AL harbored between 1 and 8 mutational signatures, implying that multiple mutational processes are operative. The most frequent mutational signature were (signatures 6, 15 and 20) associated with mismatch repair protein deficiency (MMR) and high microsatellite instability (93%), mutational signature 2 (89%), related with the aberrant activity of APOBECs, a family of proteins that enzymatically modify single-stranded DNA and mutational signature 1 (81%), profile that appear in all types of cancers and has been correlated with the age of cancer diagnosis. The signature 2 is also representative of MM. Regarding the immunoglobulin gene repertoire, we noted that 26% of patients with AL harbored more than one clone; this extent in clonal heterogeneity being similar to that found in MM (23%).The most frequent IGH gene involved was IGHV3-30 in both AL (recurrence of 10%) and MM (recurrence of 12%).Regarding CNV, recurrent gains included chromosomes 1q (29%), 5 (38%), 6p (14%), 7 (43%), 9 (43%), 15 (24%), 18 (14%) and 19 (43%). Recurrent losses affected chromosome 13 (33%), 6q (14%) and 16q (19%). Conclusions This is the first WES study performed in a series of patients with AL. We demonstrated the lack of a common driver mutation in this disease and unveiled that recurrently mutated genes in AL amyloidosis do not overlap with those observed in MM. We also confirm the existence of numerous chromosomal alterations in patients with AL. The frequencies of aberrations and alterations detected by NGS are comparable with those describe in previous studies by copy number array analysis, but here we show some novel recurrent chromosomal aberrations as gain of chromosome 7 (43%) and losses of chromosome 18 (14%). Overall, these results may have significant impact in our understanding of the pathogenesis of AL amyloidosis and its differential diagnosis vs other monoclonal gammopathies. Disclosures Ocio: BMS: Consultancy; Novartis: Consultancy, Honoraria; Sanofi: Research Funding; Takeda: Consultancy, Honoraria; Seattle Genetics: Consultancy; AbbVie: Consultancy; Janssen: Consultancy, Honoraria; Pharmamar: Consultancy; Amgen: Consultancy, Honoraria, Research Funding; Mundipharma: Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Array Pharmaceuticals: Research Funding. De La Rubia:Ablynx: Consultancy, Other: Member of Advisory Board. Oriol:Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Puig:Janssen: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria; Celgene: Honoraria, Research Funding. Lahuerta:Janssen: Honoraria; Celgene: Honoraria; Amgen: Honoraria. Mateos:Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; GSK: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; GSK: Consultancy, Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. San-Miguel:Janssen: Honoraria; Celgene: Honoraria; Amgen: Honoraria; BMS: Honoraria; Novartis: Honoraria; Sanofi: Honoraria; Roche: Honoraria. Martinez Lopez:Novartis: Research Funding, Speakers Bureau; Jansen: Research Funding, Speakers Bureau; BMS: Research Funding, Speakers Bureau; Celgene: Research Funding, Speakers Bureau.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 1265-1265
Author(s):  
Steven A. Schichman ◽  
Annjanette Stone ◽  
Maria Winters ◽  
Weleetka Carter ◽  
Lori Frederick ◽  
...  

Abstract Abstract 1265 Poster Board I-287 Introduction Fluorescence in situ hybridization (FISH), in combination with other markers, is used as a prognostic tool for CLL patients at diagnosis. The presence or absence of trisomy 12 and deletions at 13q, 11q, and 17p helps to predict disease progression and to stratify patients for therapeutic decisions. We hypothesized that whole genome single nucleotide polymorphism (SNP)-based copy number variation (CNV) analysis would capture all of the information in current CLL FISH panels and would reveal new CNV features in the CLL genome. Patients and Methods Nineteen early-intermediate clinical stage, untreated CLL patients aged 29 to 77 were determined to be at high risk for disease progression by FISH, IgVH mutation status, ZAP-70, and CD38 prognostic markers. CLL cells and normal cells were separated by magnetic bead selection from patient peripheral blood samples with absolute lymphocyte counts that ranged from 7.4 to 162 × 109/L. CNV analysis was performed on purified genomic DNA from the CLL cells and from normal cells for each patient in order to distinguish acquired CNVs in malignant cells from polymorphic CNVs in the human genome. We used the Illumina human660w-quad beadchip, a SNP-based microarray for whole-genome genotyping and CNV analysis that contains more than 550,000 tag SNPs and approximately 100,000 additional markers that target regions of common CNV. CNV data was analyzed using CNV partition (Illumina Genome Studio software) and PennCNV. Results 100% concordance is found between del(13q), del(11q), and del(17p) FISH abnormalities and loss of heterozygosity (LOH) at 13q, 11q, and 17p by CNV analysis. All three patients with trisomy 12 by FISH show copy number(CN)=3 of chromosome 12 by CNV analysis. Of 15 patients with del(13q) by FISH, 12 out of 15 have regions of hemizygous deletion on 13q that vary from ∼830 Kb to ∼38 Mb. The smallest region of LOH is located within 13q14.3. Three out of 15 patients show homozygous deletion within 13q14.3. One of these 3 patients has copy-neutral LOH of the entire 13q arm with an embedded 835 Kb segment of homozygous deletion at 13q14.3. Two patients have large discontinuous segments of LOH on 13q, indicating complex interstitial deletion events. Two out of 5 patients with del(13q) as a sole FISH abnormality show additional CNV events in the CLL genome. One of these patients has copy neutral LOH at 2q33.1-telomere(tel). One other patient with sole del(13q) FISH shows LOH events at 10q23.31-23.33 and at 15q15.1. Five out of six patients with del(11q) by FISH have either 13q LOH (n=4) or chromosome 12 CN=3 (n=1) without any other CNV events detected in the CLL genome. One patient with trisomy 12 and del(11q) by FISH has three additional acquired CNV abnormalities in the CLL genome: LOH at 7p15.2-tel, LOH at 11p13, and CN=3 at 3q24-tel. In contrast to patients with del(11q), del(13q), and trisomy 12, patients with del(17p) by FISH have numerous acquired CNV abnormalities in the CLL genome. These include LOH events at 1p34.3-p34.2, 2q34-q36.3, 3p21.31-tel, 4p13, 4p15.1-tel, 15q11.2-q14 and 15q14-q15.3, 16p13.3-tel, 16p13.11, 16p13.2, 18p11.21-tel, 20p11.21-tel, and 20q13.2-q13.31. CN=3 at 2p12-tel is detected in 2 out of 5 patients with 17p hemizygous deletion. One out of 5 patients with 17p hemizygous deletion shows CN=3 at 10q22.2-tel. One other patient also with 17p hemizygous deletion shows CN=3 at 22q12.2-tel. Conclusions Whole genome CNV analysis by SNP-based microarrays greatly expands our ability to detect acquired genomic events in CLL cells. These events include hemizygous deletion, homozygous deletion, copy-neutral LOH, and CN=3 duplication. Detection of copy-neutral LOH is not possible by FISH or array comparative genomic hybridization technology. The current study reveals a high number of acquired CNV events in earlier stage, untreated CLL patients with 17p hemizygous deletion. This observation, indicative of genomic instability, is consistent with the known poor prognosis of del(17p) patients. The new somatic CNV abnormalities detected in CLL cells may help to discover additional genes or signaling pathways involved in CLL initiation and progression. In addition, the new CNV markers may be used in larger clinical studies to improve CLL prognosis and patient stratification for therapy. Disclosures Shanafelt: Genentech: Research Funding; Hospira: Membership on an entity's Board of Directors or advisory committees, Research Funding; Polyphenon E International: Research Funding; Celgene: Research Funding; Cephalon: Research Funding; Bayer Health Care Pharmaceuticals: Research Funding. Kay:Genentech, Celgene, Hospira, Polyphenon Pharma, Sanofi-Aventis: Research Funding; Biogenc-Idec, Celgene, Genentech, genmab: Membership on an entity's Board of Directors or advisory committees. Zent:Genentech, Bayer, Genzyme, Novartis: Research Funding.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1929-1929
Author(s):  
Syed J. Mehdi ◽  
Sarah K Johnson ◽  
Sharmin Khan ◽  
Wen Ling ◽  
Randal Shelton ◽  
...  

Abstract Introduction: Multiple myeloma (MM) cells from patients with smoldering MM (SMM) and low-risk (LR) MM harbor genetic alterations typically seen in patients with high-risk (HR) disease. To test whether the bone marrow (BM) microenvironment plays a role in controlling growth of LR MM cells, we established an experimental model that mimics a HR microenvironment by co-culturing normal mesenchymal stem cells (MSCs) with HR MM cells. We previously have shown that MSC conditioned media (CM) promotes growth of MM cells more effectively than cell-cell contact, as adhesion to MSCs often promotes survival at the expense of proliferation. Therefore, we utilized CM and hypothesized that MSC CM is enriched with bioactive growth factors that facilitate proliferation of LR MM cells. The aim of the study was to test the effect of CM from unprimed and primed MSCs on the survival, growth, and molecular properties of LR MM cells, and identify molecular pathways that mediate these effects. Methods: Primed MSCs were prepared by co-culturing normal MSCs with BM-dependent MM lines for 5 days. MSCs were trypsinized, replated for 40 min followed by serial washing to remove MM cells. Molecularly classified CD138-selected LR MM cells from 8 newly diagnosed patients were treated with 50% primed CM or unprimed CM, or growth media (CONT) for 5 days. Growth and survival of primary MM cells was assessed by MTT assay and detection of annexin V/PI and KI67 by flow cytometry. Microarrays were performed on primed and unprimed MSCs (n=7) and on primary LR MM cells treated with primed and unprimed MSCs CM (n=3). Pathways were analyzed using Ingenuity. Ultra low depth WGS was performed to assess copy number variation. Protein arrays were performed to test levels of secreted factors in CM (n=7). Results: Growth of primary LR MM cells (n=8) was increased by primed CM 5.1±0.05 (p<0.0001) and 7.0±0.6 (p<0.0001) folds compared to unprimed CM or CONT, respectively. In contrast, unprimed MSC CM increased growth in these cells by 1.3 fold. Flow cytometry analyses revealed no differences in proportion of annexin V/PI+ cells. However, the proportion of KI67+ cells was increased from 0.95±0.1% in unprimed CM group to 4.6±1.5% in primed CM group (p<0.04). Primed MSC CM caused MM cell GEP70 score to increase resulting in change from LR to HR in 2 experiments and from an ultra LR score to an intermediate score in another. Pathway analyses on genes differentially expressed between primed CM- and unprimed CM-treated MM cells identified oxidative phosphorylation with mitochondrial dysfunction, cell cycle, mitosis and p53 as the most significantly altered pathways. Top transcription regulators included FOXO3, TP53, E2F4, MYC and E2F1, whereas mir-16-5p and let-7 were the top microRNAs. Top significantly upregulated genes (>2 fold) by primed MSC CM included proliferation-related factors (MKI67, TOP2A, CCNB1, BIRC5 and RRM2), whereas underexpressed genes (< 2 fold) involved regulators of cell dormancy including BCL2 (survival), RICTOR (mTOR), HEY1 (NOTCH), JUN (AP-1) and CXCR4 (adhesion). Four genes we reported to powerfully predict progression of SMM to MM (Khan et al., Haematologica 2015) were highly upregulated in MM cells by primed MSC CM. WGS revealed similar copy number variation in MM cells treated with unprimed and primed CM, suggesting other mechanisms produced the observed gene expression changes. IGF1 is a central MM growth factor and IGF binding proteins (IGFBPs) control its bioavailability. We recently reported that mesenchymal cells are the main source of IGFBPs in BM, with IGFBP2 being the most downregulated gene in MM bone (Schinke et al., CCR 2018). Expression and secretion of IGFBPs (particularly IGFBP2) by MSCs were significantly reduced by priming these cells with MM cells, whereas IGF1 levels remained unchanged. IGFBP2 markedly blocked IGF1-induced MM cell growth (p<0.0003). Addition of IGF1R inhibitor significantly blocked primed CM-induced MM cell growth (p<0.02). Conclusions: MSCs primed by HR MM cells mimic a HR microenvironment, reflected by reduced level of factors that restrain bioavailability of MM growth factors such as IGF1, resulting in shutdown of master regulators of cell dormancy, which then enable a MM cells to proliferate. Such a scenario is particularly applicable in SMM and LR disease where MM cells exhibit a low proliferative index and their expansion is accelerated in distinct HR BM microenvironmental niches such as focal lesions. Disclosures Epstein: University of Arkansas for Medical Sciences: Employment. Davies:Abbvie: Consultancy; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; ASH: Honoraria; MMRF: Honoraria; Janssen: Consultancy, Honoraria; TRM Oncology: Honoraria. Morgan:Celgene: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Janssen: Research Funding.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 573-573
Author(s):  
Francesco Maura ◽  
Even H Rustad ◽  
Niccolò Bolli ◽  
Venkata Yellapantula ◽  
Daniel A. Leongamornlert ◽  
...  

INTRODUCTION: Cancer pathogenesis is usually characterized by a long evolutionary process where genomic driver events accumulate over time, conferring advantage to distinct subclones, allowing their expansion and progression. METHODS: To investigate the multiple myeloma (MM) evolutionary history, we characterized the mutational processes' landscape and activity over time utilizing a large cohort of 89 whole genomes and 973 exomes. To improve the accuracy of mutational signatures analysis, we analyzed both the 3' and 5' nucleotide context of each mutation and we developed the novel fitting algorithm mmSig, which fits the entire mutational catalogue of each patient with the mutational signatures involved in MM pathogenesis. The contribution of each mutational signature was then corrected based on the cosine similarity between the original 96-mutational profile and the reconstructed profile generated without that signature. To reconstruct the genetic evolutionary history of each patient's cancer, we integrated two approaches. First dividing all mutations into clonal (early) or subclonal (late), then subdivided the clonal mutations into duplicated mutations (present on two alleles and therefore acquired before the duplication) or non-duplicated mutations (detected on a single allele), reflecting either pre-gain and post-gain mutations on the minor allele, or post-gain mutations acquired on one of the duplicated alleles. RESULTS Eight mutational signatures were identified, seven of which showed significant similarity with the most recent mutational signature catalogue (i.e SBS1, SBS2, SBS5, SBS8, SBS9, SBS13 and SBS18). The new mutational signature (named SBS-MM1) was observed only among relapsed patients exposed to alkylating agents (i.e melphalan). The etiology of this specific signature was further confirmed by analyzing recent whole genomes public data from human-induced pluripotent stem cells exposed to melphalan (Kucab et al, Cell 2019). Reconstructing the chronological activity of each mutational signature, we identified four different routes to acquire the full mutational spectrum in MM based on the differential temporal activity of AID (SBS9) and APOBEC (SBS2 and SBS13). Our data indicate that AID activity is not limited to the first contact with the GC, but persists in the majority of patients, behaving similarly to a B-memory cells, capable of re-entering the germinal center upon antigen stimulation to undergo clonal expansion several times before MM diagnosis. Next, we confirmed the clock-like nature (i.e constant mutation rate) of SBS5 in MM and other post-germinal center disorders such as chronic lymphocytic leukemia and B-cell lymphomas. Based on the SBS5 mutation rates and the corrected ratio between duplicated and non-duplicated mutations within large chromosomal gains, we could time the acquisition of the first copy number gain during the life history of each MM patient. Intriguingly, the first MM chromosomal duplication was acquired on average 38 years (ranges 11-64) before sample collection. In 23/27 (85%) cases the first multi gain event occurred before 30 years of age, and in 13/27 (48%) before 20 years reflecting a long and slow process potentially influenced and accelerated by extrinsic and intrinsic factors. DISCUSSION Our analysis provides a glimpse into the early stages of myelomagenesis, where acquisition of the first key drivers precedes cancer diagnosis by decades. Defining the time window when transformation occurs opens up for new avenues of research: to identify causal mechanisms of disease initiation and evolution, to better define the optimal time to start therapy, and ultimately develop early prevention strategies. Disclosures Bolli: CELGENE: Honoraria; JANSSEN: Honoraria; GILEAD: Other: Travel expenses. Corradini:Janssen: Honoraria, Other: Travel Costs; Jazz Pharmaceutics: Honoraria; KiowaKirin: Honoraria; Servier: Honoraria; Takeda: Honoraria, Other: Travel Costs; Kite: Honoraria; Novartis: Honoraria, Other: Travel Costs; Gilead: Honoraria, Other: Travel Costs; Roche: Honoraria; Sanofi: Honoraria; BMS: Other: Travel Costs. Anderson:Janssen: Consultancy, Speakers Bureau; Takeda: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau; Bristol-Myers Squibb: Other: Scientific Founder; Oncopep: Other: Scientific Founder; Amgen: Consultancy, Speakers Bureau; Sanofi-Aventis: Other: Advisory Board. Moreau:Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria. Papaemmanuil:Celgene: Research Funding. Avet-Loiseau:takeda: Consultancy, Other: travel fees, lecture fees, Research Funding; celgene: Consultancy, Other: travel fees, lecture fees, Research Funding. Munshi:Adaptive: Consultancy; Amgen: Consultancy; Celgene: Consultancy; Janssen: Consultancy; Takeda: Consultancy; Oncopep: Consultancy; Abbvie: Consultancy. Landgren:Karyopharm: Membership on an entity's Board of Directors or advisory committees; Theradex: Other: IDMC; Adaptive: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: 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; Merck: Other: IDMC; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1884-1884 ◽  
Author(s):  
Alfred Chung ◽  
Gregory P. Kaufman ◽  
Surbhi Sidana ◽  
David Iberri ◽  
Erik Eckhert ◽  
...  

Daratumumab (DARA) is a CD38-targeted antibody FDA-approved for the treatment of multiple myeloma (MM) and its efficacy has recently been demonstrated in the treatment of AL amyloidosis. DARA is conventionally given indefinitely until evidence of disease progression or intolerance for the treatment of MM. In AL amyloidosis, the optimal duration of therapy is not known, and patients may be treated indefinitely on maintenance, extrapolating from MM data. However, the plasma cell burden observed in AL amyloidosis is often lower than in MM, and thus certain patients achieving deep responses may have durable responses with time-limited treatment. Outcomes for patients who are observed after DARA discontinuation are not known. We report the outcomes of patients at our institution who received time-limited DARA. A retrospective analysis of AL amyloidosis patients treated at Stanford University from 2016 to 2019 with DARA monotherapy and dexamethasone for at least 2 months was performed, and patients who subsequently had DARA discontinued for reasons other than disease progression or lack of response were selected for the study. Hematologic responses were assessed by consensus guidelines. Duration on and off therapy were explored, along with time-to-next treatment or death (TTNT), defined as the time from DARA initiation to restarting/switching therapy or death. An exploratory analysis comparing TTNT between the study population and a control cohort who achieved hematologic CR and were maintained on DARA was conducted with the Kaplan-Meier method and log-rank testing. 67 patients received at least 2 months of DARA monotherapy and dexamethasone; among these, 15 patients discontinued therapy for reasons other than disease progression and were included. Median age was 66 years old and median lines of prior therapies was 4 (range: 1 - 6). Baseline difference between involved and uninvolved free light chains (dFLC) prior to DARA initiation was 2.6 mg/dL (range: 0 - 16.8 mg/dL). 10 of 15 patients had cardiac involvement with median NT-proBNP of 1982 pg/mL and 9 of 15 patients had renal involvement with median 24-hour proteinuria of 6.2 g and eGFR of 32 mL/min/1.73m2 at DARA initiation. Median duration from starting to stopping DARA was 7.8 months (range: 2 - 21 months). Median duration from achieving best hematologic response to stopping DARA was 3 months (range: 0 - 17 months). Reasons for discontinuation included: patient preference (5), fatigue/body aches (4), infection (2), other active medical comorbidities (3), and lack of perceived further benefit (1). At DARA discontinuation, median dFLC was 0.1 mg/dL (range: 0 - 2.2 mg/dL) and there were 12 hematologic CR, 1 VGPR, 1 PR, and 1 not assessable for response. Outcomes for all 15 patients are shown in Figure 1. The median treatment-free interval was 17.5 months (range: 5 - 34 months); estimated 2-year TTNT-free survival was 83% (95% CI: 61 - 100%). All 14 evaluable patients eventually achieved CR. 3 patients restarted DARA for rising dFLC, and all 3 patients demonstrated response to retreatment (2 achieving CR and 1 near PR with ongoing follow-up). There were 2 deaths. One patient with severe baseline cardiac amyloidosis developed sudden rise in dFLC after treatment-free interval of 21 months; although he rapidly achieved hematologic CR on retreatment, he died of heart failure within 2 months of restarting DARA. The other patient developed therapy-related AML while off therapy and underwent allogenic stem cell transplant but died of leukemia (censored for AL amyloidosis outcomes at transplant). There was no significant difference in the TTNT between the study group and a control group of 16 patients who achieved CR and were on continuous maintenance (Figure 2; p=0.807). AL amyloidosis patients achieving deep responses with DARA can have favorable outcomes after treatment discontinuation, including a long treatment-free interval. Although our sample size is small, the outcomes of these patients appeared comparable to those achieving CR on continuous DARA maintenance, and patients were able to regain responses when retreatment was necessary. These results suggest that DARA may be safely discontinued in patents achieving deep hematologic responses, which has significant implications for quality of life and financial burden of treatment. Future studies evaluating time-limited versus continuous DARA maintenance after achievement of deep responses are warranted. Disclosures Kaufman: Janssen: Other: travel/lodging, Research Funding. Liedtke:Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; IQVIA/Jazz: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech/Roche: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celator: Research Funding; Caelum: Membership on an entity's Board of Directors or advisory committees; BlueBirdBio: Research Funding; Amgen/Onyx: Consultancy, Honoraria, Research Funding; Agios: Research Funding; Adaptive: Membership on an entity's Board of Directors or advisory committees. OffLabel Disclosure: Daratumumab for treatment of AL amyloidosis


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1828-1828
Author(s):  
Alfred Chung ◽  
Gregory P. Kaufman ◽  
Surbhi Sidana ◽  
Erik Eckhert ◽  
Stanley Schrier ◽  
...  

Introduction: AL amyloidosis involves deposition of abnormally folded light chains into a wide range of tissues causing end-organ dysfunction, including in the heart and kidney. Daratumumab, a CD38-targeted antibody, has recently demonstrated efficacy in producing hematologic responses in previously relapsed/refractory disease. However, data on long-term outcomes to daratumumab, including organ responses, are lacking. Here we present the largest retrospective study to date on patients with previously treated AL amyloidosis treated with daratumumab. Methods: We conducted a retrospective analysis of relapsed/refractory AL amyloidosis patients treated at Stanford University from January 2016 to January 2019. Patients treated with daratumumab, either as monotherapy with dexamethasone (DMT) or in combination with other plasma-cell directed therapies (DCT) were included. Hematologic and organ responses were assessed by consensus guidelines. Hematologic responses were based on the maximal change in the difference between involved and uninvolved free light chains (dFLC). For cardiac response, a >30% and >300 pg/mL decrease in NT-proBNP for patients with initial baseline NT-proBNP ≥650 pg/mL was considered a response. A graded cardiac response metric was also explored with partial response (PR) representing 30-59% reduction, very good partial response (VGPR) ≥60% reduction, and complete response (CR) NT-proBNP <450 pg/mL as previously reported. For renal response, a >30% decrease (by at least 0.5 g/day) in 24-hour urine protein without worsening in creatinine or creatinine clearance by more than 25% in patients with at least 0.5 g/day pretreatment was considered a response. A graded renal response metric was also explored with PR representing 30-59% reduction in proteinuria, VGPR ≥60%, and CR ≤ 200 mg per 24-hour period. Survival data was analyzed using the Kaplan-Meier method. All time-to-event outcomes, including survival and organ responses, were determined from initiation of daratumumab. Results: Eighty-four patients were identified with baseline characteristics at start of daratumumab shown in Table 1. Median duration of follow-up was 16 months. Two-year overall survival (OS) was 83% and median OS was not reached. Median time-to-next-treatment or death was 31 months. Sixty-seven out of 80 evaluable patients (84%) achieved a hematologic response, with 47 patients (59%) achieving a VGPR or better (Figure 1). Sixty-eight patients (81%) had cardiac involvement, and among the 34 evaluable patients, 18 (53%) of evaluable patients achieved a cardiac response with a median response time of 2 months among responders. In terms of a graded cardiac response, 6 patients (18%) were able to achieve cardiac CR, 5 patients (15%) cardiac VGPR, and 7 patients (21%) PR (Figure 2). The median NT-proBNP percent reduction was 64.5% (IQR: 48.3 - 81.1%) and the median absolute reduction was 2395 pg/mL (IQR 1279.5 - 4089.5 pg/mL). Cardiac responses were associated with an improvement in OS (p<0.001, Figure 3), with landmark analysis for cardiac responses at 6-month trending towards statistical significance (100% vs. 51% at 30 months, p=0.052). Fifty-three patients (63%) had renal involvement, and among the 26 evaluable patients, 12 patients (46%) achieved a renal response with a median initial response time of 6 months among responders. Using graded response, 1 patient (4%) achieved renal CR, 7 patients (27%) renal VGPR, 4 patients (15%) renal PR, and 14 patients had no response, worsening creatinine, or were subsequently started on hemodialysis (54%) (Figure 4). The median percent reduction in proteinuria was 74.1% (IQR: 49.2 - 83.1%) and the median absolute reduction in proteinuria was 3.1 g/24 hours (IQR 2.1 - 4.9 g) among responders. There were no significant differences in OS between renal responders and non-responders. Conclusion: Daratumumab is highly effective in the treatment of previously treated AL amyloidosis, and a significant proportion of patients can achieve durable hematologic responses as well as improvements in organ function. Disclosures Kaufman: Janssen: Other: travel/lodging, Research Funding. Liedtke:Prothena: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; IQVIA/Jazz: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech/Roche: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celator: Research Funding; Caelum: Membership on an entity's Board of Directors or advisory committees; BlueBirdBio: Research Funding; Amgen/Onyx: Consultancy, Honoraria, Research Funding; Adaptive: Membership on an entity's Board of Directors or advisory committees; Agios: Research Funding. OffLabel Disclosure: Daratumumab in AL amyloidosis


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 746-746 ◽  
Author(s):  
Jeffrey A Zonder ◽  
Vaishali Sanchorawala ◽  
Rachel M. Snyder ◽  
Jeffrey Matous ◽  
Howard Terebelo ◽  
...  

Abstract Abstract 746 Introduction: Primary systemic amyloidosis (AL) is a monoclonal plasma cell disorder associated with progressive organ dysfunction and short survival. Standard therapy for patients (pts) not eligible for autologous stem cell transplant (ASCT) is melphalan (Mel; M) + dexamethasone (Dex; D). With non-ASCT therapy, the median overall survival (OS) of high-risk AL pts remains < 1 yr. After the VISTA study showed the addition of bortezomib (Bz) to Mel + Prednisone improved response rate, complete response rate, response duration, and OS in pts with myeloma, we designed this study to determine if adding Bz to MD improves outcomes in AL. Key eligibility criteria: ECOG PS ≤ 3, Cr ≤ 5 mg/dL, T.Bili ≤ 2.5 x IULN, ALT/AST ≤ 3 x IULN, ANC ≥ 1.0 K/mm3, PLT ≥ 80 K/mm3, peripheral neuropathy (PN) ≤ Gr 2 (≤ 1 if painful), no lower limit for LVEF. Study design: Two-stage Phase II study. Stage I: 16 pts with biopsy-proven AL or light chain deposition disease (LCDD). 1° endpoint: complete hematologic responses (cHR). If ≥5 cHRs observed, then 2nd stage with 17 more pts to be opened. The study has a 90% power to detect a true cHR rate of 50%. 2° endpoints include overall HR (cHR + Partial Responses (PR)), organ response (OrR), and OS. Treatment: M (9 mg/m2 PO days 1-4; 6 mg/m2 if Cr > 2.5 mg/dL), Bz (1.3 mg/m2 IV days 1, 8, 15, 22; 1.0 mg/m2 if pt has PN at baseline) and D (40 mg PO/IV days of & days after Bz; 20 mg if ≥ 70 yrs, peripheral edema, or CHF) in 4-6 wk cycles, max of 20 cycles. PN was assessed serially with the FACT/GOG-Ntx survey. Results: To date, 23 pts have been enrolled: 21 with AL; 2 with LCDD. Med age 64 (range: 47-76). Med # prior Rx: 1 (range: 0-2; 7 with ≥1 prior ASCT). Med # organs involved: 4 (range 1-6; 8 pts with ≥ 3). PS 0-1/2-3: 18/1. Response data for the 16 pts comprising stage 1 of this two-stage study are reported here; accrual of all 33 pts is expected to be complete by ASH, and results will be updated. One pt who was not response-evaluable (RE) for HR is included in toxicity data (n=17). Med # cycles MD-Bz: 4+ (range: 2-12+; 9 pts still on treatment). 15 of 16 pts had heme responses: 6 cHRs & 9 PRs. Ten RE pts had OrR (2 cardiac, 3 renal, 6 nerve, 1 lung; total >10 because some pts improved in > 1 organ). Nerve symptom improvement occurred exclusively in pts with cHR. Two pts had progressive disease (PD). Two pts died (4.5 and 9 mos from enrollment, from pneumonia and PD, respectively). Despite baseline dose adjustment for co-morbidities, 12 pts needed subsequent dose-reduction of ≥ 1 of the study meds during therapy (10 Bz, for thrombocytopenia and/or PN in almost all cases). Five pts developed neutropenia (Gr 3-4: 1), 15 pts developed thrombocytopenia (Gr 3-4: 11). Nine pts developed peripheral neuropathy (Gr 3: 2). Other grade 3-4 non-hematologic AEs seen in ≥ 2 pts included edema (5), syncope (3), SVT (2), dehydration (2), fatigue (2), and renal failure (2). One pt developed reversible cardiomyopathy (cycle 8) attributed to Bz. Calculated sensory/dysfunction (S/D) composite scores based on patient responses from the FACT/GOG-Ntx survey improved in 7 of 14 pts between cycles 1 and 4, were stable in 4 pts and worsened in only 3. On average, the S/D score accounted for 43% of each pt's total Ntx score at baseline, whereas it only accounted for 39% of the score after 4 cycles, and 45% after 8 cycles, indicating progressive disability from Bz-related PN was uncommon. As results of nerve conduction studies did not correlate well with reported symptoms or FACT/GOG-Ntx scores in stage 1 of the study, mandatory EMGs were discontinued in stage 2. Conclusions: MD-Bz shows promising activity in the treatment of AL, with 94% of pts in the first stage of this trial achieving HR (38% cHR) and evidence of OrR observed in 63%. Toxicity is manageable, but meds often require baseline or subsequent dose adjustment. A randomized study of MD +/- Bz in AL is planned. Disclosures: Zonder: Cephalon: Consultancy; Pfizer: Consultancy; Amgen: Consultancy; Millennium: Consultancy, Research Funding, Speaking CME Only, No PromotionalTalks; Celgene: Speaking CME only; no Promotional Talks. Off Label Use: Bortezomib is being used in the treatment of AL amyloidosis in this trial; it is currently approved for use as treatment of multiple myeloma.. Matous:Celgene: Honoraria, Speakers Bureau; Cephalon: Speakers Bureau. Janakiraman:Millennium: Honoraria, Research Funding. Mapara:Resolyx: Membership on an entity's Board of Directors or advisory committees, Research Funding; Cephalon: Membership on an entity's Board of Directors or advisory committees, My Wife: Suzanne Lentzsch, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, My wife: Suzanne Lentzsch, Research Funding; Sentium: Stocks. Gasparetto:Millennium: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 2406-2406
Author(s):  
Neil E. Kay ◽  
Jeanette Eckel Passow ◽  
Esteban Braggio ◽  
Scott Van Wier ◽  
Tait Shanafelt ◽  
...  

Abstract Abstract 2406 The outcome for a given CLL patient is difficult to predict. While there are promising models, they require collation of multiple clinical and laboratory parameters, and it remains to be seen whether they will apply to typical CLL patients in the community. To further dissect out explanations for this dramatic clinical heterogeneity, we sought to understand genomic complexity of clonal B-cells as a possible explanation of clinical variability with specific application to genomic complexity as a predictor of therapeutic response and clinical outcome in CLL. Thus we wished to identified global gains and losses of genetic material in order to define copy-number abnormalities (CNA) in 48 clinically progressive CLL patients who were about to be treated on a chemoimmunotherapy protocol. This protocol was previously reported by us (Blood. 109:2007) and had an induction phase with pentostatin (2 mg/m2), cyclophosphamide (600 mg/m2) and rituximab (375 mg/m2) given every 3 weeks for 6 cycles and then responding patients were followed ever three months until relapse. In order to estimate CNA, we employed array-based comparative genomic hybridization (aCGH) using a one-million oligonucleotide probe array format on the leukemic B-cells from the 48 patients entering this trial. In those same patients, the aCGH data were compared to a) FISH detecxtable data using a panel for the common recurring genetic defects seen in CLL and b) to their clinical outcome on this trial. With aCGH we found that 288 CNA were identified (median of 4 per patient; range 0–32) of which 215 were deletions and 73 were gains. The aCGH method identified most of the FISH detected abnormalities with a complete concordance for 17p13.1- deletion (17p-) between aCGH and FISH. We also identified chromosomal gain or loss in ≥6% of the patients on chromosomes 3, 8, 9, 10, 11, 12, 13, 14 and 17. We found that CLL patients with ≥15 CNA had a significantly worse progression free survival (PFS) than patients with <15 CNA (p=0.004)(figure). Patients with ≥15 CNA also had a shorter duration of response than those with <15 CNA (p=0.0726). Of interest, more complex genomic features were found both in patients with a 17p13.1 deletion and in more favorable genetic subtypes such as 13q14.1. Thus, for 5 patients with >15 CNAs the following FISH patterns were seen: +12/13q14.1-x1/13q14.1 -x2, 13q14.1 ×1 (n=2), and 17p13.1 (n=2). In addition, a 17p- by FISH was positively associated with the number of CNA and total deletion size. The odds of having an overall response decreased by 28% (95% CI: 5–55%; p=0.015) with each additional CNA for the 17p13.1- patients. In addition to defining genomic complexity as the total number of CNA for each patient, we also defined complexity as the sum of the lengths of all interstitial chromosomal gains and losses. When defined as the total size of chromosomal gains or losses, genomic complexity was significantly associated with 17p13.1 and worse overall clinical response. In summary, this analysis utilized the global assessment of copy number abnormalities using a high-resolution aCGH platform for clinically progressive CLL patients prior to initiation of their treatment. One outcome was that we found higher genomic complexity was associated with shorter progression-free survival, reduced duration of response and predicted a poor response to treatment. In addition since we did find genomic complexity in more traditionally favorable FISH categories, such as 13q14.1 type defects, this may explain why some of the latter patients do not fare as well as might be expected even with aggressive chemoimmunotherapy approaches. This study adds information on the association between inferior trial response and increasing genetic complexity as CLL progresses. Disclosures: Off Label Use: Pentostatin. Kipps: GlaxoSmithKline: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Genzyme: Research Funding; Memgen: Research Funding; Igenica: Consultancy, Membership on an entity's Board of Directors or advisory committees; Sanofi Aventis: Research Funding; Abbott Laboratories: Research Funding.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1786-1786 ◽  
Author(s):  
Heather Landau ◽  
Raymond L. Comenzo ◽  
Tasneem Balasinorwala ◽  
Melissa Warner ◽  
Ola Landgren ◽  
...  

Abstract Background: Hematologic response criteria in AL amyloidosis are based on reduction of FLCs and correlate with organ improvement and survival in the front-line setting (Palladini 2012). Hematologic progression is defined from complete response (CR) as any detectable monoclonal (m) protein or abnormal FLC ratio (light chain must double); and from partial response (PR) as a 50% increase in serum or urine m-protein to > 0.5g/dl or 200mg/d respectively; or a 50% increase in FLC to > 10mg/dL based on consensus criteria (Gertz 2005); while cardiac and renal progression criteria have recently been validated (Palladini 2012 & 2014). Trials enrolling relapsed pts define measurable disease by a difference in FLC (dFLC) >5mg/dl such that accurate responses (VGPR, PR) can be assessed. However, many pts with hematologic and/or organ progression fail to meet dFLC > 5mg/dL set by inclusion criteria (if progression from CR) or the high bar of FLC > 10mg/dL set by the progression criteria and are ineligible for clinical trials. Composite criteria for progression of disease involving both hematologic measures and biomarkers of organ damage do not exist. The goal of the current study was to characterize pts with AL and evidence of progressive disease who were ineligible for clinical trials in order to determine the magnitude of this problem and define potential AL study populations whose medical needs are not being met. Methods: Previously treated AL pts screened for clinical trials from 5/2013 to 5/2015 at Memorial Sloan Kettering Cancer Center and Tufts Medical Center were reviewed retrospectively. Trials included 1) phase I/II trial of carfilzomib (NCT01789242), 2) phase I trial of ixazomib (NCT01318902) and 3) phase III trial of ixazomib/dexamethasone versus physician's choice (NCT01659658). Inclusion for all 3 required relapsed AL with dFLC >5mg/dl and evidence of organ damage. Pts with progressive hematologic and/or organ disease (by consensus or validated criteria) who were screened for these trials were included in this analysis. Results: Among 36 pts screened, 33% (N=12) enrolled. Yet, 67% (N=24) with hematologic (N=14), cardiac (N =6) and/or renal (N=11) progression were ineligible. Median age was 61 years (range, 41-78); prior lines of therapy were 1 in 38%, 2 in 38% and >2 in 25%. Median BNP, TROP, serum ALB, eGFR and 24hr urine total protein were: 283pg/mL (36-2197), 0ng/mL (0-0.09), 3.4g/dL (1.3-4.8), 66ml/min (7-128) and 1800 mg/24hrs (trace-12,875), respectively. Median involved FLC was 6.48mg/dl (0.93-52.6) and dFLC 4.69mg/dl (0.01-52). 58% (14/24) were ineligible due to dFLC <5mg/dl, which was the most common reason for screen failure despite meeting hematologic and/or organ criteria for progression. Others were excluded for multiple myeloma (N=2), cardiac stage III (N=4), prior malignancy (N=1), number of prior therapies (N=1) and low creatinine clearance (N=2). 92% (22/24) have received therapy: 19 off study, 2 on alternate trials and 1 eventually qualified with dFLC >5mg/dl; 2 are being monitored for FLC progression with unclear clinical implications. One-third of patients ineligible for these trials have died. Conclusions: The finding that only 1/3 of pts with AL amyloidosis and hematologic or organ progression requiring therapy are eligible for clinical trials demonstrates the limitations of the current definitions of progression and "measurable disease" criteria for enrolling relapsed pts on trials. The necessary decision to treat pts with organ progression in advance of their meeting a criterion for FLC progression (to >10mg/dl) indicates that this arbitrarily defined value needs to be revised. Moreover, time to next therapy rather than progression free survival (as currently defined) is a more relevant clinical trial end point. More sensitive, validated hematologic progression and composite criteria defining progression of hematologic and organ disease are critically needed to identify patients whose level of hematologic disease progression and risk of organ damage is at variance with current criteria as defined by FLCs. This will enable novel therapies that have the potential to reduce the risks of end-stage organ failure and death to be tested in this population. Disclosures Landau: Spectrum Pharmaceuticals: Honoraria; Prothena: Consultancy, Honoraria; Onyx: Honoraria, Research Funding; Janssen: Consultancy; Janssen: Consultancy; Takeda: Research Funding. Comenzo:Prothena: Research Funding; Janssen: Research Funding; Karyopharm: Research Funding; Takeda Millennium: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; Takeda Millennium: Membership on an entity's Board of Directors or advisory committees. Landgren:BMJ Publishing: Honoraria; Bristol-Myers Squibb: Honoraria; Celgene: Honoraria; Medscape: Honoraria; Onyx: Honoraria; International Myeloma Foundation: Research Funding; Onyx: Research Funding; BMJ Publishing: Consultancy; Medscape: Consultancy; Bristol-Myers Squibb: Consultancy; Celgene: Consultancy; Onyx: Consultancy. Giralt:CELGENE: Consultancy, Honoraria, Research Funding; TAKEDA: Consultancy, Honoraria, Research Funding; JAZZ: Consultancy, Honoraria, Research Funding, Speakers Bureau; AMGEN: Consultancy, Research Funding; SANOFI: Consultancy, Honoraria, Research Funding.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 722-722 ◽  
Author(s):  
Jonathan J Keats ◽  
Gil Speyer ◽  
Legendre Christophe ◽  
Christofferson Austin ◽  
Kristi Stephenson ◽  
...  

Abstract The Multiple Myeloma Research Foundation (MMRF) CoMMpass trial (NCT145429) is a longitudinal study of 1000 patients with newly-diagnosed multiple myeloma from clinical sites in the United States, Canada, Spain, and Italy. Each patient receives a treatment regimen containing a proteasome inhibitor, immunumodulatory agent, or both. Clinical parameters are collected at study enrollment and every three months through the five-year observation period. To identify molecular determinants of clinical outcome each baseline and progression tumor specimen is characterized using Whole Genome Sequencing, Exome Sequencing, and RNA sequencing. This will be the first public presentation of the interim analysis seven cohort with 760 enrolled patients of whom 565 are molecularly characterized. This cohort of patients includes 14 patients with baseline and secondary samples along with 7 patients with characterized tumor samples from the bone marrow and peripheral blood. Although the median follow-up time for the cohort is only 260 days the patients on proteasome and IMiD based combinations are currently showing a PFS and OS benefit compared to those receiving combinations with each agent alone. From the raw mutational analysis we identified 24 significant genes that are recurrently mutated and the mutated allele is detectably expressed in all but one, DNAH5. Suggesting these mutations are likely contributing to myelomagenesis through an unconventional mechanism. Interestingly, DIS3 mutations are independent of KRAS, NRAS, and BRAF indicating a potential mechanistic link while PRKD2 mutations are associated with t(4;14). To identify events driving the initiation of myeloma we performed a detailed clonality analysis using a bayesian clustering method that corrects for copy number abnormalities and tumor purity to assign mutations into distinct clonal branches versus the initiating trunk mutations. On average 63.8% of mutations are trunk mutations and in 86.7% of patients at least one trunk mutation is associated with somatic hypermutation of an immunoglobulin gene as expected in a late stage B-cell malignancy. This identified many expressed trunk mutations that did not come out in the classic significance analysis like ATM, EGR1, and CCND1. To identify molecular subtypes we performed unsupervised clustering using a consensus clustering approach on independent discovery and validation cohorts, which identified 12 distinct subtypes, using a combination of silhouette score and cumulative distribution of consensus scores. This analysis identified two distinct groups associated with t(4;14) with mutations in FGFR3 and DIS3 being exclusive to one subgroup. In addition, this analysis separates patients with cyclin D translocations into three different groups, with one group having the second lowest PFS proportion. Three patients without CCND1 or CCND3 translocations were found to have IgH translocations targeting CCND2. The MAF subgroup was associated with the lowest OS and PFS proportion, and the three MAF/MAFB translocation negative patients in the subgroup all had MAFA translocations. The remaining 6 subgroups are associated with hyperdiploid copy number profiles and harbor the majority of the IgH-MYC translocation events. Two of the hyperdiploid groups are associated with a low level of NFKB activation compared to the remaining four, one of these is defined by the highest proliferation index but paradoxically the other has the second worst OS proportion. Another group is enriched with FAM46C and NRAS mutations. The genomic profiles of the paired tumors isolated from the peripheral blood and bone marrow are highly similar indicating these are not genetically distinct tumor compartments, at least in this subset of seven patients. Applying our bayesian clustering method to the serial samples resolved additional clonal clusters as mutations with similar cancer cell fractions at diagnosis clearly diverged at later timepoints. These analyses have identified tumor initiating mutations and new subtypes of myeloma, which are associated with distinct molecular events and clinical outcomes. Disclosures Jagannath: Novartis: Honoraria; Bristol Myers Squibb: Honoraria; Celgene: Honoraria; Merck: Honoraria; Janssen: Honoraria. Siegel:Celgene Corporation: Consultancy, Speakers Bureau; Amgen: Speakers Bureau; Takeda: Speakers Bureau; Novartis: Speakers Bureau; Merck: Speakers Bureau. Vij:Takeda, Onyx: Research Funding; Celgene, Onyx, Takeda, Novartis, BMS, Sanofi, Janssen, Merck: Consultancy. Zimmerman:Amgen: Honoraria, Speakers Bureau; Celgene: Honoraria, Speakers Bureau; Millennium: Honoraria, Speakers Bureau; Onyx: Honoraria. Niesvizky:Celgene: Consultancy, Speakers Bureau. Rifkin:Onyx Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Consultancy, Membership on an entity's Board of Directors or advisory committees. Lonial:Millennium: Consultancy, Research Funding; Onyx: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 2082-2082
Author(s):  
Nidhi Tandon ◽  
Surbhi Sidana ◽  
Morie A. Gertz ◽  
Angela Dispenzieri ◽  
Martha Q. Lacy ◽  
...  

Abstract Introduction Immunoglobulin light chain amyloidosis (AL Amyloidosis) is a monoclonal plasma cell proliferative disorder that is characterized by tissue deposits of misfolded insoluble κ or λ light chain derived amyloid fibrils, leading to organ dysfunction. The prognosis of patients depends on the number and severity of organ involvement, especially cardiac involvement. Autologous stem cell transplant (ASCT), if eligible, alkylator (melphalan) and novel drugs like proteasome inhibitors (PI) and immunomodulators (IMiD) have improved the overall survival (OS) during the past decades. But still, nearly half of the patients die within a year of diagnosis. We analyzed the factors predicting early relapse / progression or death (within 12 months) after first line therapy for systemic AL amyloidosis. Methods Clinical and laboratory data of all consecutive patients with systemic AL amyloidosis seen at Mayo Clinic within 90 days of their diagnosis, between 2006 and 2015, was collected by chart review and analyzed retrospectively. Patients who died within 3 months of starting the first line treatment were excluded from analysis. Early relapse (ER) was defined as relapse / progression requiring treatment change / re-institution or death within 12 months of starting first line treatment. Patients in the cohort with ER were compared with patients with a follow up of more than 12 months who had a relapse / progression beyond 12 months or had continuing response at the time of analysis. Categorical variables were analyzed using chi - square and Fisher's exact test and continuous variables using Kruskal- Wallis test and Wilcoxon rank sum test. Multivariate analysis was done using logistic regression model. Results Seven hundred and eighty six patients with newly diagnosed systemic AL amyloidosis met the study criteria and were included in the analysis. Among these, 230 (29.3%) patients had ER within 12 months of starting initial therapy while 556 (70.7%) patients either relapsed after 1 year or had continuing response at the time of analysis. Baseline demographics, organ involvement and type of first line therapy are presented in Table1. The median estimated follow up for the entire cohort from start of initial therapy was 62.9 months (95% CI; 59.9, 67.3). The variables included in the univariate and multivariate analyses for factors predicting ER were age at diagnosis (≤ vs > 70 years ), revised mayo stage (I and II vs III and IV), bone marrow plasma cell percentage (BMPC; ≤ 10% vs > 10%), presence of any chromosomal abnormalities, trisomies or IgH translocations by fluorescence in situ hybridization (FISH), multiorgan involvement [(>1 vs 1) (heart, liver, kidney, gastrointestinal tract, autonomic neuropathy), incorporation of ASCT in initial therapy. In univariate analysis, mayo stage (p<0.0001), multiorgan involvement (p=0.0008) and inclusion of ASCT as part of initial therapy (p<0.0001) were significantly associated with ER, while age (p=0.06), BMPC(p=0.9), FISH abnormalities (p=0.2) were not. However, in multivariate analysis, only mayo stage (III + IV vs I + II; p=0.01) and non-inclusion of ASCT in first line treatment (p=0.0001) were significantly predictive of ER. Conclusions Despite the introduction of ASCT and novel drugs, the early mortality in systemic AL amyloidosis remains high. This study demonstrates that patients with ER are older with higher prevalence of cardiac involvement and multiorgan involvement and higher Mayo stage (III and IV). Incorporation of ASCT as part of the initial therapy was associated with reduced early relapse, but it is difficult to separate the influence of the eligibility for ASCT from the effect of ASCT itself. This will help us in characterizing these patients to better understand their mechanisms of resistance to therapy and gives an insight to the type of initial therapy that benefits them. Disclosures Dispenzieri: GSK: Membership on an entity's Board of Directors or advisory committees; Jannsen: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Alnylam: Research Funding; pfizer: Research Funding. Kapoor:Takeda: Research Funding; Amgen: Research Funding; Celgene: Research Funding. Kumar:Celgene: Consultancy, Research Funding; Kesios: Consultancy; BMS: Consultancy; Sanofi: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; Glycomimetics: Consultancy; Millennium: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Onyx: Consultancy, Research Funding; AbbVie: Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Research Funding.


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