Noxxon Pharma Research Articles

CTNI-43. CXCL12 INHIBITION IN MGMT UNMETHYLATED GLIOBLASTOMA – RESULTS OF AN EARLY PROOF-OF-CONCEPT ASSESSMENT IN THE MULTICENTRIC PHASE I/II GLORIA TRIAL (NCT04121455)

Abstract BACKGROUND Preclinical studies showed that CXCL12-mediated influx of highly angiogenic monocytes/macrophages is a key driver of tumor re-vascularization and re-growth after radiotherapy (RT) of glioblastoma (GBM). We report findings from a phase I/II proof-of concept (PoC) study on CXCL12 inhibition during and after RT of GBM. METHODS Patients ≥18years with incompletely or unresected GBM without MGMT promoter hypermethylation and ECOG≤2 were eligible to participate. Patients received continuous (24/7) i.v. infusions of 200mg/week (n=3), 400mg/week (n=3) or 600mg/week (n=3) of the CXCL12 inhibitor olaptesed pegol (OLA) for 26 weeks during and after normo- or hypofractionated RT (60Gy/40.05Gy). The primary endpoint was safety as per the incidence of treatment-related adverse events. The study was accompanied by PoC-research including multiparametric MRI biomarkers (relative cerebral blood volume, rCBV; fractional tumor burden with high perfusion, FTBhigh; apparent diffusion coefficient, ADC) and of multiplexed immunofluorescence imaging (CODEX®) of reference and patient samples. Initial results of these analyses are reported for the first six patients enrolled. RESULTS Five of six (83%) patients assessed with advanced MRI showed response under OLA in rCBV/FTBhigh and ADC. Maximum reduction in perfusion (rCBV) from baseline was 55%, maximum reduction of FTBhigh was 55% and maximum increase in ADC was 77%. Furthermore, five of six (83%) patients analyzed showed reduction of enhancing tissue volumes in at least one scan under OLA therapy. In both one patient and two reference samples CXCL12 co-localized with endothelial cells of the microvascular proliferation zone. In a paired sample (before/during OLA) of one patient, endothelial cells stained positive for CXCL12 before but not during treatment and almost all GBM cells were negative in Ki67 staining in the sample obtained under OLA therapy. CONCLUSIONS Advanced MRI and multiplexed immunofluorescence suggest efficacy of combined radiotherapy and CXCL12 inhibition in unmethylated GBM. Funded by NOXXON Pharma AG; ClinicalTrials.gov number, NCT04121455.

Impact of the Novel Contrast Agent Gadopiclenol on Decision Making in Patients With Brain Metastases

To evaluate the impact on decision making and radiotherapy (RT) treatment planning of brain metastases (BM) using gadopiclenol, a new gadolinium-based contrast agent (GBCA).Patients who underwent two separate magnetic resonance imaging (MRI) examinations, one with gadopiclenol and one with gadobenate dimeglumine, both at 0.1 mmol/kg were included in the analysis. Those with ≥1 BM detected in any of both scans were subjected to a blinded reader analysis and contouring. For each patient, treatment plans (stereotactic radiosurgery [SRS] or whole-brain radiotherapy [WBRT]) were determined for both MRIs, with the gross target volume (GTV) indicating the contrast-enhancing aspects of the tumor. Mean GTVs and normal tissue volumes receiving 12 Gy (as well as the Dice similarity coefficient (DSC) were obtained for the paired contours. The Spearman´s rank (ρ) correlation was additionally calculated. Furthermore, 3 experts blindly of each lesion for contouring purposes and subjectively qualified them as "better", in detriment of the counterpart, or "equal".A total of 13 adult patients (31% females) presenting with at least one BM were analyzed. Gadopiclenol depicted additional BM as compared with gadobenate dimeglumine in 7 patients (54%). Treatment indication was changed in 2 (15%) patients, from no treatment to SRS and SRS to WBRT. The mean GTVs and V12 were comparable between gadopiclenol and gadobenate dimeglumine (P = 0.694, P = 1.974). The mean DSC was 0.70 (± 0.14, ρ 0.82). From a total 36 answers, an improvement in enhancement was qualified in 58.3% (n = 21) with g, while no difference was obtained in 19.4% (n = 7).Gadopiclenol improved BM detection and characterization with impact on RT treatment decisions. Further trials are warranted to determine the impact of this novel MRI contrast agent on a clinical setting.G.R. Sarria: Honoraria; Roche Pharma AG. Travel Expenses; Carl Zeiss Meditec AG. Volunteer; Rayos Contra Cancer Inc. J. Fleckenstein: None. M. Eckl: None. F. Stieler: None. M. Bendszus: None. L.C. Schmeel: None. D. Koch: None. A. Feißt: None. M. Essig: None. F. Wenz: Honoraria; Carl Zeiss Meditec AG, Celgene GmbH, Roche Pharma AG, Eli Lilly and Co., Ipsen Pharma GmbH, Elekta AB.F.A. Giordano: Research Grant; Carl Zeiss Meditec AG, NOXXON Pharma AG. Honoraria; Implacit GmbH, Oncare GmbH, Roche Pharma AG, AstraZeneca GmbH.

A Next Generation Liquid Biopsy Approach for Multiple Myeloma

Direct-to-Patient (DTP) Multiple Myeloma (MM) research studies have been launched recently, including PCROWD (NCT02269592), PROMISE (NCT03689595) and the MMRF CureCloud Research Initiative (NCT03657251), aimed at enrolling thousands of individuals from whom comprehensive molecular and immune analyses will be generated from blood specimens and the resulting data aggregated with the correlating clinical information. To support the molecular characterization of liquid biopsies for such DTP efforts, a set of myeloma-specific liquid biopsy approaches were developed. First, a hybrid selection panel was developed that detects somatic variants present in a patient's circulating-free DNA (cfDNA) in 70 commonly altered MM and Clonal Hematopoiesis of Indeterminate Potential (CHIP) genes. For this MM 70-Gene cfDNA Assay, samples are received as blood in a StreckTM tube designed for stabilization of cfDNA and DNA is extracted from buffy coat using magnetic bead-based chemistry. Deep coverage sequencing (80,000x depth) is performed and duplex BAM files generated with UMI alignment and error correction allowing for sensitive detection of clinically relevant variants. Technical validation data on healthy donor cfDNA mixes was generated using samples with a range of cfDNA inputs. This data determined that the assay is capable of achieving >90% sensitivity for detecting somatic events present at 1% variant allele frequency with a specificity of <0.2 false positives per megabase. Using a clinical cohort, we observed a strong correlation between Bone Marrow Aspirate (BMA) and cfDNA samples with the vast majority of variants previously detected in BMA also identified via the MM-70 Gene panel analysis. Interestingly, we also saw evidence of additional somatic variants identified in cfDNA previously undetected in BMA analysis. Because one the aims of this effort is to return results to treating physicians, a clinical-grade (CLIA) pipeline was established. For that CLIA pipeline, the variants reported are a subset of all the events detected by the MM 70-Gene Assay. The events detected in the assay are reviewed by experienced molecular pathologists at the Dana Farber Cancer Institute (DFCI) who have developed a customized reporting process. These reports utilize an internally-developed knowledgebase of variant/gene annotations that leverages the DFCI expertise in hematologic malignancies and myeloma specifically. The reports are then provided back through providers to the patient via the CureCloud system for their use in clinical care and trial identification. In order to complement the MM-70 Gene panel with copy number and translocation information, we have been exploring Circulating Multiple Myeloma Cells (CMMCs). Our current approach involves automated capture of CMMCs using ferrofluids coated with MM-selective and discriminating antibodies to immunomagnetically enrich circulating plasma cells. The highly enriched CMMCs fractions generated in such a fashion are then submitted for molecular characterization. At the submission date of this abstract, 163 patients have been fully enrolled into CureCloud from which results will be presented. In summary, we have developed a robust and very sensitive clinical-grade next-gen liquid biopsy sequencing platform allowing for minimally invasive monitoring of MM disease genomics that can be used to complement other more classical approaches and to help support our Direct-To-Patient Initiatives. Especially in this post-COVID19 era, such liquid biopsy-based approaches that avoid clinic visits for the patients and can be performed through at-home mobile phlebotomy are emerging as important new options. Disclosures Kim: LabCorp: Consultancy; Quanterix, Inc: Consultancy; PapGene, Inc: Consultancy. Ghobrial:AbbVie: Consultancy; GNS Healthcare: Consultancy; GlaxoSmithKline: Consultancy; Genentech: Consultancy; Noxxon Pharma: Consultancy; Novartis: Consultancy; Adaptive Biotechnologies: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Cellectar: Honoraria; Karyopharm Therapeutics: Consultancy, Honoraria; Amgen: Consultancy, Honoraria.

Single-Cell Multi-Omics in Human Clonal Hematopoiesis Reveals That DNMT3A R882 Mutations Perturb Early Progenitor States through Selective Hypomethylation

Leukemia driver mutations have been identified in clonal hematopoiesis (CH; Jaiswal et al, NEJM, 2014). This provides a window of opportunity to interrogate the downstream impact of driver mutations in the earliest stages of neoplasia, before the accumulation of additional drivers that lead to frank malignancy. However, CH mutated cells are morphologically and phenotypically similar to normal cells. Thus, previous characterization in primary human samples have largely focused on genetic identification of these clonal outgrowths. To overcome this limitation and define the downstream effects of CH mutations, we leveraged multi-omic single-cell sequencing to profile the mutation status and whole transcriptome for the same cells at high-throughput (GoT; Nam et al, Nature, 2019). To identify CH samples, we screened 136 stem cell grafts collected for autologous transplant from multiple myeloma patients in remission (Mouhieddine et al, Nat Comm, 2020). We identified four individuals with DNMT3AR882 mutations with VAF > 0.05, allowing the profiling of 27,324 CD34+ cells (Fig. 1a-b). DNMT3A R882 mutations in these human CH samples did not result in a significant differentiation block in the hematopoietic stem cells, as assessed by pseudotime analysis (Fig. 1c). However, specific differentiation skews were apparent in multi-lineage progenitors, corresponding to the highest expression of DNMT3A in mutated immature myeloid progenitors (IMP, i.e. common myeloid progenitors/granulocyte-monocyte progenitors, Fig. 1d). We observed the expansion of mutated IMPs (Fig. 1e) that showed priming toward the megakaryocytic-erythroid (ME) lineage (Fig. 1f). DNMT3AR882 lympho-myeloid primed progenitors showed a myeloid bias and disfavored lymphoid development (Fig. 1g). In these CD34+ progenitors, we identified dysregulated expressions of megakaryocytic lineage markers, such as CD9 and PLEK, consistent with the ME-bias (Fig. 1h). We also observed downregulation of lymphoid differentiation gene ZBTB1, corresponding to the myeloid over lymphoid skewing (Fig. 1h). Finally, we identified dysregulated expression of genes involved in TNF-alpha signaling (e.g. TNFRSF4, TNFSF13B), suggesting a pro-inflammatory state. To identify activated pathways, we performed a gene set enrichment analysis that revealed activation of MYC and IL-6 signaling (FDR <0.05, Hallmark). A focused analysis of regulatory networks identified enhanced activity of key transcription factors (TFs) involved in ME differentiation such as GATA1 and FLI1, as well as those involved in inflammation such as NFKB/REL (FDR <0.05). We also identified increased expression of polycomb repression complex 2 (PRC2) target genes (FDR <0.05). To determine how aberrant DNA methylation may serve as a link between DNMT3A mutations and the observed transcriptional dysregulation, we performed single-cell multi-omics that simultaneously profiles the cells' methylome and transcriptome, linked with mutation status (Gaiti et al, Nature, 2019; Fig. 1i). By comparing the methylation rates in mutated vs. wildtype CD34+ cells within the same sample, we found that DNMT3AR882 result in selective hypomethylation that preferentially impacts CpG islands (Fig. 1j) and PRC2 targets (Fig. 1k), which may underlie the dysregulated expression of PRC2 targets in DNMT3AR882 progenitors. Notably, DNMT3AR882-induced hypomethylation was enriched in a specific sequence context in which the CpG is followed by a T nucleotide (Fig. 1l). This DNMT3AR882 motif was enriched in the DNA binding motifs of central hematopoietic TFs, including MYC/MAX (Fig. 1m), suggesting that DNMT3AR882-induced hypomethylation may serve as a mechanism to preferentially increase the activity of these TFs. Consistent with this hypothesis, joint single-cell methylome and transcriptome data revealed that the expression of MYC targets increased with hypomethylation of its binding motifs (Fig. 1n), providing a mechanism of enhanced MYC activity due to DNMT3AR882 mutations. Altogether, we report the direct examination of the consequences of DNMT3AR882 mutations in primary CD34+ cells in CH. We discovered that DNMT3A is most highly expressed in mutated multi-lineage progenitors, promoting their expansion and biasing their downstream differentiation. This is accompanied by a disruption to differentiation through PRC2 and MYC target reactivation via selective hypomethylation. Disclosures Abdel-Wahab: Envisagenics Inc.: Current equity holder in private company; H3 Biomedicine Inc.: Consultancy, Research Funding; Janssen: Consultancy; Merck: Consultancy. Ghobrial:Takeda: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Karyopharm Therapeutics: Consultancy, Honoraria; Cellectar: Honoraria; Adaptive Biotechnologies: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Novartis: Consultancy; Noxxon Pharma: Consultancy; Genentech: Consultancy; GlaxoSmithKline: Consultancy; GNS Healthcare: Consultancy; AbbVie: Consultancy. Landau:Bristol Myers Squibb: Research Funding; Illumina: Research Funding.

A Phase I/II Study of Twice Weekly Ixazomib Plus Pomalidomide and Dexamethasone in Relapsed and Refractory Multiple Myeloma: Results from Phase I Dose Escalation Cohorts

A Phase I/II Study of Twice Weekly Ixazomib Plus Pomalidomide and Dexamethasone in Relapsed and Refractory Multiple Myeloma: Results from Phase I Dose Escalation Cohorts

613P - Phase I/II study with CXCL12 inhibitor NOX-A12 and pembrolizumab in patients with microsatellite-stable, metastatic colorectal or pancreatic cancer

BackgroundNOX-A12 is an inhibitor of the chemokine CXCL12 which prevents receptor engagement and blocks the formation of chemotactic CXCL12 concentration gradients. The Opera study (NCT03168139) is a Phase 1/2 study to evaluate pharmacodynamic effects and safety of monotherapy with NOX-A12 as well as safety and efficacy of a combination with pembrolizumab in metastatic microsatellite-stable (MSS) colorectal (CRC) and pancreatic (PaC) cancer where PD-1 inhibition alone has not shown clinical benefit. MethodsPatients received 300mg NOX-A12 twice weekly during a 2-week monotherapy phase. Biopsies were taken from liver metastases before and after NOX-A12 monotherapy for analysis of immune cell infiltration and cytokine signature. In a combination phase, patients received repeated 21-day cycles of 300mg NOX-A12 and 200mg pembrolizumab until progression or intolerable toxicity. Results11 of the patients had CRC and 9 PaC. All patients were heavily pretreated with 5 (CRC) and 3 median lines (PaC) of prior treatment. Best responses to last prior treatment was progressive disease for 95% of patients. The AE profile was comparable with the pembrolizumab profile or typical for the underlying diseases. At baseline, mean T cell density at the invasive margin was 327 cells/mm², clearly below the 600 cells/mm² that are predictive for a good prognosis. 2 weeks of NOX-A12 monotherapy induced Th1 cytokines (IFNγ, IL-2, IL-16) in approx. half of the patients. Although there were no objective responses, 25% of patients achieved stable disease; 7 patients showed prolonged time on treatment vs. the prior line of therapy. Median progression-free survival was 1.87 months, overall survival was 42% at 6 months and 19% at 12 months. ConclusionsIn patients with MSS metastatic PaC and CRC cancer with impaired immune systems and a high tumor load that have failed multiple prior lines of therapy, NOX-A12 plus pembrolizumab shows induction of immune response, stable disease in 25% of patients, and prolonged time on treatment vs. prior therapy for 35% of patients. The safety profile of the combination therapy was consistent with that of pembrolizumab in advanced cancer patients. Clinical trial identificationNCT03168139. Legal entity responsible for the studyThe authors. FundingNOXXON Pharma AG. DisclosureN. Halama: Research grant / Funding (institution): NOXXON Pharma AG; Shareholder / Stockholder / Stock options, Officer / Board of Directors: Navitect Bio. A. Froemming: Full / Part-time employment: NOXXON Pharma AG. D. Beyer: Full / Part-time employment: NOXXON Pharma AG. D. Eulberg: Full / Part-time employment, Officer / Board of Directors: NOXXON Pharma AG. J.U. Jungnelius: Full / Part-time employment, Officer / Board of Directors: NOXXON Pharma AG. A. Mangasarian: Full / Part-time employment, Officer / Board of Directors: NOXXON Pharma AG. All other authors have declared no conflicts of interest.

Outcome of Very Young (≤ 40 Years) Patients with Immunoglobulin Light Chain Amyloidosis (AL): A Case Control Study

BACKGROUND Light-chain amyloidosis (AL) is the most common form of systemic amyloidosis, with an incidence of approximately 1 case/100,000 person-years. Clinically relevant data with regard to the very young (≤ 40 years) patients (pts) are scant. We present a case-control study of very young pts with AL seen at a single institution. METHODS We reviewed the medical records of all pts with AL who were consecutively evaluated at Mayo Clinic, Rochester, MN between 01/01/1995 and 12/31/2015. The clinical characteristics and survival outcomes of very young pts at the time of AL diagnosis (cases) were compared to a 2:1 matched cohort of pts (controls) with AL who were 65 years or older and matched by the time of diagnosis. Upfront autologous stem cell transplantation (ASCT) was defined as transplantation within 6 months of the diagnosis of AL. The Kaplan-Meier method was used to all time-to-event analyses. The average years of life lost was computed by subtracting the mean survival from diagnosis observed in the cohort from the mean survival expected in the population based on life-tables. RESULTS Of 3433 pts with AL, 50 (1.5%) pts were ≤ 40 years of age at diagnosis (cases). Fatigue, peripheral edema, dyspnea and bleeding were less common at presentation in cases compared to controls (table A). The cases were also more likely to have liver or GI involvement (OR= 3.45, 95% CI: 1.6-7.2). Unusual initial clinical features in the cases included unprovoked splenic rupture (2%) and erectile dysfunction (4%) observed 6-15 months prior to the diagnosis of AL in cases; no such features were observed in the control group. The median time between the onset of symptoms and definitive diagnosis was 0.4 years (95% CI: 0.3-0.7) for the cases and 1 year (95% CI: 0.8-1.2) for controls (p 10% BMPCs without active myeloma (AL-PCMM) (p=0.16). Monoclonal light chain involvement without involvement of heavy chain was seen in 23 cases (50%) and 31 controls (32%), (OR= 2.1, 95% CI: 1.04-4.37). The median follow-up was similar for cases and controls, [10.9 years (95% CI: 7.6-12) vs 9.9 years (95% CI 8-14)], respectively. The estimated average years-of-life lost was 8.6 years over 20 years of follow-up in cases, (Figure 1a). In cases, 1 and 10-year overall survival (OS) from diagnosis was 73% and 51%, respectively (median OS 12.7 years; 95% CI: 4.0-NR) while, in controls, 1 year and 10 year OS was 62% and 15% respectively (median OS 2.1 years; 95% CI (1.0-3.6), p<0.001), (Figure 1b). Cardiac involvement was associated with a worse OS in both cohorts, (cases: median OS was 3.2 years with cardiac involvement (95% CI: 0.6-8.7) vs NR (95% CI: 8.0-NR) in those without; p=0.003; controls: median OS was 1.1 years with cardiac involvement (95% CI: 0.53-1.6) vs 4.8 years (95% CI: 3.7-8.1) in those without; p=0.02. Thirty one of 47 (66%) cases were eligible and 20 of 79 (25%) controls were eligible for upfront ASCT. In cases, upfront ASCT was associated with a longer OS. Median OS was NR (95% CI: NR-NR) in pts who underwent upfront ASCT (n=25) vs 4.0 years (95% CI: 0.5-8) in pts who did not, p≤0.0001. For controls, the median OS was 9 years (95% CI: 0.5-11) for pts who underwent upfront ASCT (n=7) vs 1.6 years (95% CI: 1.0-2.8) for pts who did not (n=93), p=0.26. In cases, six (12%) pts underwent solid organ transplantation (kidney 5, heart 1) and none in the control arm. CONCLUSIONS AL amyloidosis is infrequently encountered at the age of ≤40 years, but the loss of productive years of life and the disease burden are substantial in this cohort. A substantial delay in diagnosis from the onset of symptoms was noted in our study in the control population. Cardiac involvement remains a primary determinant of prognosis irrespective to age. Although over one-half of young pts are alive 10 years after the diagnosis (contrast ≈15% ≥ 65 years), early mortality remains substantial irrespective of age. An ASCT-based approach is associated with superior outcome in the young. A greater proportion of the young pts is fitter and ASCT-eligible at diagnosis, and should therefore be offered this approach. ![Figure][1] ![Figure][1] ![Figure][1] Disclosures Dispenzieri: Jannsen: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; GSK: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; pfizer: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; Alnylam: Research Funding. Kumar: Array BioPharma: Consultancy, Research Funding; Kesios: Consultancy; Onyx: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; AbbVie: Research Funding; Glycomimetics: Consultancy; Janssen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; BMS: Consultancy; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees. Kapoor: Amgen: Research Funding; Takeda: Research Funding; Celgene: Research Funding. [1]: pending:yes

Phase 2 Study of the All-Oral Combination of Ixazomib Plus Cyclophosphamide and Low-Dose Dexamethasone (ICd) in Patients (Pts) with Relapsed/Refractory Multiple Myeloma (RRMM)

Phase 2 Study of the All-Oral Combination of Ixazomib Plus Cyclophosphamide and Low-Dose Dexamethasone (ICd) in Patients (Pts) with Relapsed/Refractory Multiple Myeloma (RRMM)

Bortezomib Versus Non-Bortezomib Based Initial Treatment for Transplant Ineligible Patients with Light Chain Amyloidosis

Introduction: Chemotherapeutic options for patients with systemic light chain amyloidosis (AL) who are not transplant candidates include bortezomib based therapy, melphalan with dexamethasone, and less commonly, immunomodulatory drugs (IMiDs). However, prospective clinical trial data comparing these regimens are lacking. This study aims to compare efficacy of bortezomib-based treatment to other therapies. Methods: All patients with AL seen within 90 days of diagnosis at our institution over a 10-year period (2006 to 2015) who did not undergo a stem cell transplant were identified from our institutional database. Data pertaining to demographics, diagnosis, treatment and follow-up were extracted from electronic medical records. Analyses were carried out by chi-square and Fisher9s exact test for categorical variables and Kruskal-Wallis and Wilcoxon rank sum test for ordinal and continuous variables. Progression free survival (PFS) is defined as time to death, progression requiring treatment change or relapse requiring re-institution of treatment. PFS and overall survival was analyzed via the Kaplan-Meier method. Results: Seven hundred and twenty five patients met the inclusion criteria, of which 38% (n=275) received bortezomib containing regimens and 62% (n=450) received non-bortezomib based therapies. Bortezomib was used with dexamethasone in 24% (n=67) patients; and with other drugs, most commonly cyclophosphamide, in 76% (n=208) patients. Non-bortezomib treatment regimens included melphalan-based treatment in the majority (92%, n=414) followed by IMiDs with steroids and other drugs (8%, n=36). Baseline variables similar in both groups and their distribution in the entire cohort was as follows: gender distribution (63.3% males, n=459), median age of diagnosis (66.3 years, range 32.2 to 93.6), type of involved free light chain (FLC) (lambda 73%, n=523) and median plasma cell burden (10%, range 0 to 91). Median difference between the involved and uninvolved free light chain (dFLC) was higher in the bortezomib group (29 mg/dL vs. 23 mg/dL; p=0.017). There was no difference in organ involvement. In the bortezomib group, organ involvement was as follows: cardiac (81%, n=219), renal (62%, n=168) and hepatic (18%, n=48). In the non-bortezomib group, the rates of organ involvement were similar: cardiac (78%, n=346), renal (57%, n=247) and hepatic (19%, n=85). Median duration of first line treatment was similar in the 2 groups, with 178 days in the bortezomib cohort and 187 days in the non-bortezomib cohort. Response rates are illustrated in Table 1. Rates of very good partial response (VGPR) or better response were higher in the bortezomib group (64 % vs. 54%, p=0.0002). Patients treated with bortezomib achieved VGPR faster with higher rates of VGPR or better response seen at 3 months (48% vs. 27%, p Relapse or progression requiring change in therapy was more common in patients treated with non-bortezomib based therapy (38%, n=143/372) compared to bortezomib-based treatment (28%, n=67/236); p =0.01). However, no difference in overall survival was observed in patients treated with bortezomib (2.2 years; 95% confidence interval (CI): 1.7 to 3.3) vs. non-bortezomib therapies (1.7 years; 95% CI: 1.3 to 2.5). Conclusion: Treatment with bortezomib-based regimens results in a deeper response including higher rates of early VGPR at 3 and 6 months from starting therapy. Moreover, these patients achieve cardiac response faster and have lower rate of relapse. However, no difference in overall survival was seen, which may be explained by subsequent use of bortezomib-based therapies in this population. Disclosures Dispenzieri:Celgene: Research Funding; Alnylam: Research Funding; pfizer: Research Funding; Jannsen: Research Funding; Takeda: Membership on an entity9s Board of Directors or advisory committees, Research Funding; GSK: Membership on an entity9s Board of Directors or advisory committees; Prothena: Membership on an entity9s Board of Directors or advisory committees. Kumar:Millennium: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Onyx: Consultancy, Research Funding; AbbVie: Research Funding; Janssen: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; BMS: Consultancy; Skyline: Honoraria, Membership on an entity9s Board of Directors or advisory committees; Array BioPharma: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; Kesios: Consultancy; Glycomimetics: Consultancy.

Predictors of Early Relapse Following Initial Therapy for Systemic Immunoglobulin Light Chain Amyloidosis

IntroductionImmunoglobulin 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.MethodsClinical 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.ResultsSeven 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.ConclusionsDespite 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. [Display omitted] DisclosuresDispenzieri: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.

Treatment Patterns and Outcomes Following Initial Relapse in Patients with Relapsed Systemic Immunoglobulin Light Chain Amyloidosis

IntroductionImmunoglobulin light chain amyloidosis (AL Amyloidosis) is a plasma cell disorder characterized by deposition of misfolded insoluble protein fibrils (composed of monoclonal κ or λ light chains) in tissues causing progressive organ dysfunction. Chemotherapy and autologous stem cell transplant (ASCT), when eligible, are standard treatment options but relapses remain inevitable for most patients. However, there is a paucity of literature describing relapsed or refractory patients. We performed a retrospective study to analyze the outcomes upon relapse and the impact of type of therapy and retreatment with the same therapy at relapse.MethodsClinical and laboratory data of 1327 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. Of these patients, 219 (16.5%) were lost to follow-up. Among the remaining 1108 patients, 366 patients experienced a documented hematological or organ relapse or progression requiring change of first line or start of second line therapy and form the current study population. Overall survival (OS) was calculated from start of second line treatment or progression mandating therapy until death from any cause or the date of last follow up. The OS was estimated using the Kaplan-Meier method and log rank test was used to estimate the difference in survival curves.ResultsThe median age was 62.8 years (36.1 - 85.3); 63.1% were males; 64.7% / 59.3% / 11.4% had cardiac / renal / hepatic involvement and 24.2% / 32.1% / 23.3% / 20.3% had MS I/II/III/IV.The median estimated follow up for this cohort was 69.4 months (95% CI; 64.4, 76.8) from the start of first line therapy and 45.2 months (95% CI; 36.5, 50.6) from the start of second line therapy or progression requiring treatment. The median time to second line treatment or relapse /progression mandating therapy was 16.2 months (1-93) from the start of first line therapy. At relapse, 14 patients underwent ASCT, 165 were treated with proteasome inhibitor (PI) based therapy, 83 with immunomodulator (IMiD) based therapy, 33 with alkylator based therapy, 15 with a combination of PI and IMiD, 10 with steroids, 8 with other therapies and 38 did not receive treatment.Among the 366 patients, 124 (33.9%) required change or reinstitution of therapy during follow up at the time of analysis. The median time to third line treatment or relapse /progression mandating therapy was 31 months (95% CI; 24, 40.5) from the start of second line treatment. The median overall survival (OS) was 76.4 months (95% CI; 65.2, 83.6) from the start of first line therapy and 38.8 months (95% CI; 29.6, 52.6) from the start of second line therapy.The type of therapy at relapse (ASCT vs PI vs IMiD vs melphalan vs steroids and others) did not alter the time to next therapy (ASCT, 43.1m; PI, 31m; IMiD, 37m; melphalan, 20.8m; steroids and others, 20m; p=0.3) and OS (ASCT, 66.9m; PI, 51.1m; IMiD, 51.3m; melphalan, 37.2m; steroids and others, 80.7m; p=0.9) from the start of the second line treatment; as depicted in Figure 1. Retreatment with a different drug class (as the first line treatment) at relapse significantly reduced the time to next treatment (32.3m vs 22 m; p= 0.01) as compared to same therapy; but did not have any impact on survival (30.8m vs 51.1m; p = 0.5); as presented in Figure 2.ConclusionThis study provides novel information about outcomes of patients with systemic AL amyloidosis who relapse or progress after first line therapy which could be useful in planning salvage therapies and designing clinical trials. Retreatment with a different therapy at relapse improves time to next therapy but does not impact OS. Hence, we conclude that the patients can fare well post relapse/ progression and can benefit from various treatment regimens including retreatment with the same agent. [Display omitted] [Display omitted] DisclosuresDispenzieri:Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; GSK: Membership on an entity's Board of Directors or advisory committees; Prothena: Membership on an entity's Board of Directors or advisory committees; Jannsen: Research Funding; pfizer: Research Funding; Alnylam: Research Funding; Celgene: Research Funding. Kapoor:Amgen: Research Funding; Takeda: Research Funding; Celgene: Research Funding. Kumar:BMS: Consultancy; Kesios: Consultancy; Glycomimetics: Consultancy; Onyx: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; AbbVie: Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Millennium: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding.

Areas of Consensus and Differences Among a Panel of Experts on the Optimal Use of Newly Approved Agents to Treat Multiple Myeloma (MM): Results from an Annually Updated Online Decision Support Tool

BackgroundIn 2015, the FDA approved 5 new agents and/or combination regimens for the treatment of patients with relapsed/refractory (R/R) MM. In addition, new clinical data support using new regimens in the first-line setting. This rapid expansion of available treatment options has greatly increased the complexity of treatment decisions for patients in this disease setting. Clinical practice guidelines list multiple preferred treatment options for MM and can be challenging to apply to specific patients with a mixture of presenting features. Since 2013, we have developed and updated an MM online decision support tool designed to provide clinicians with expert guidance on optimal treatment for defined patient scenarios. An analysis of the tool over the years has shown that experts rapidly integrate new data and available agents into practice whereas many tool users do not. Here we report data from the most recent version (2016) of this tool, capturing the impact of the rapid expansion of new therapies on expert treatment recommendations.MethodsIn June 2016, a panel of 5 experts provided treatment recommendations for 688 case scenarios across 3 settings: induction, maintenance, and R/R disease. These distinct scenarios were defined by key patient and disease characteristics that the experts considered important when making treatment choices, including: eligibility for autologous stem cell transplantation, results of chromosome analysis (cytogenetics/FISH), ECOG performance status, previous therapy and response, and preexisting comorbidities. To use the tool, these patient and disease factors and the intended treatment for that specific patient were entered through drop-down menus to display the expert choices for that case. Users were then asked to indicate the impact of the expert recommendations on planned treatment.ResultsWe compared expert recommendations from the 2 most recent versions of our MM tool, compiled in March 2015 and June 2016, to assess the impact of the new data and FDA approvals on treatment patterns. The experts are generally not recommending these agents as induction or maintenance therapy. Three out of 5 experts recommended carfilzomib/lenalidomide/dexamethasone as induction therapy for preexisting peripheral neuropathy (PN) and 1 expert recommended ixazomib-based regimens as induction and maintenance therapy for patients with high-risk cytogenetics and both renal insufficiency and PN. The new agents did have a substantial impact on expert recommendation in the R/R setting. In the 2016 tool, the type of previous therapy was the primary factor affecting expert selections, whereas the number of previous lines of therapy (1-3 vs >3) had minimal impact in the R/R setting. For example, in patients refractory to previous proteasome inhibitor (PI) therapy, regimens containing either elotuzumab (30%) or daratumumab (25%) were selected frequently by experts with pomalidomide-containing regimens recommended in another 40% of these specific cases. In the 2016 tool, the use of lenalidomide/dexamethasone alone without a newly approved agent was not recommended by any expert in the R/R setting, although it had been recommended by experts in 25% of R/R case scenarios in the 2015 tool. For patient scenarios refractory to previous immunomodulatory drugs and PIs, the experts recommended daratumumab-based regimens in 67.5% of the cases in the 2016 tool whereas the use of carfilzomib/pomalidomide/dexamethasone fell from 45% in 2015 to 10% of the cases in 2016. None of the experts recommended regimens with panobinostat as their preferred choice in any patient scenario in either 2015 or 2016.ConclusionsExpert opinions regarding optimal MM therapy continue to evolve with new evidence and FDA approvals. Our data show that newly approved therapies are having a large impact on expert recommendations for specific case scenarios in the relapsed/refractory MM setting. A detailed and updated analysis of expert and user data that captures practice trends in this rapidly evolving environment will be presented. DisclosuresKumar:Kesios: Consultancy; Array BioPharma: Consultancy, Research Funding; AbbVie: Research Funding; Onyx: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Millennium: Consultancy, Research Funding; BMS: Consultancy; Glycomimetics: Consultancy; Janssen: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding. Lentzsch:Celgene: Consultancy, Honoraria; BMS: Consultancy. Lonial:Merck: Consultancy; Novartis: Consultancy; Millenium: Consultancy; Celgene: Consultancy; Onyx: Consultancy; Janssen: Consultancy; Onyx: Consultancy; BMS: Consultancy; Novartis: Consultancy; Janssen: Consultancy; Celgene: Consultancy; BMS: Consultancy. Roodman:Amgen: Consultancy. Anderson:Oncopep: Other: Scientific Founder; Acetylon: Other: Scientific Founder; Sonofi Aventis: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Onyx: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees.

Bortezomib Versus Non-Bortezomib Based Treatment for Transplant Ineligible Patients with Light Chain Amyloidosis

Introduction: Chemotherapeutic options for patients with systemic light chain amyloidosis (AL) who are not transplant candidates include bortezomib based therapy, melphalan with dexamethasone, and less commonly, immunomodulatory drugs (IMiDs). However, prospective clinical trial data comparing these regimens are lacking. This study aims to compare efficacy of bortezomib-based treatment to other therapies.Methods: All patients with AL seen within 90 days of diagnosis at our institution over a 10-year period (2006 to 2015) who did not undergo a stem cell transplant were identified from our institutional database. Data pertaining to demographics, diagnosis, treatment and follow-up were extracted from electronic medical records. Analyses were carried out by chi-square and Fisher's exact test for categorical variables and Kruskal-Wallis and Wilcoxon rank sum test for ordinal and continuous variables. Progression free survival (PFS) is defined as time to death, progression requiring treatment change or relapse requiring re-institution of treatment. PFS and overall survival was analyzed via the Kaplan-Meier method.Results: Seven hundred and twenty five patients met the inclusion criteria, of which 38% (n=275) received bortezomib containing regimens and 62% (n=450) received non-bortezomib based therapies. Bortezomib was used with dexamethasone in 24% (n=67) patients; and with other drugs, most commonly cyclophosphamide, in 76% (n=208) patients. Non-bortezomib treatment regimens included melphalan-based treatment in the majority (92%, n=414) followed by IMiDs with steroids and other drugs (8%, n=36). Baseline variables similar in both groups and their distribution in the entire cohort was as follows: gender distribution (63.3% males, n=459), median age of diagnosis (66.3 years, range 32.2 to 93.6), type of involved free light chain (FLC) (lambda 73%, n=523) and median plasma cell burden (10%, range 0 to 91). Median difference between the involved and uninvolved free light chain (dFLC) was higher in the bortezomib group (29 mg/dL vs. 23 mg/dL; p=0.017). There was no difference in organ involvement. In the bortezomib group, organ involvement was as follows: cardiac (81%, n=219), renal (62%, n=168) and hepatic (18%, n=48). In the non-bortezomib group, the rates of organ involvement were similar: cardiac (78%, n=346), renal (57%, n=247) and hepatic (19%, n=85).Median duration of first line treatment was similar in the 2 groups, with 178 days in the bortezomib cohort and 187 days in the non-bortezomib cohort.Response rates are illustrated in Table 1. Rates of very good partial response (VGPR) or better response were higher in the bortezomib group (64 % vs. 54%, p=0.0002). Patients treated with bortezomib achieved VGPR faster with higher rates of VGPR or better response seen at 3 months (48% vs. 27%, p <0.0001) and 6 months (57% vs. 34%, p < 0.0001) after initiation of therapy compared to non-bortezomib treatment. Rates of organ response were similar amongst the 2 groups as shown in Table 1. However, median time taken to achieve a cardiac response was shorter in the bortezomib group (23 vs. 38 weeks, p=0.0026). In a multivariable model, bortezomib-based treatment and dFLC at diagnosis were predictors of VGPR.Relapse or progression requiring change in therapy was more common in patients treated with non-bortezomib based therapy (38%, n=143/372) compared to bortezomib-based treatment (28%, n=67/236); p =0.01). However, no difference in overall survival was observed in patients treated with bortezomib (2.2 years; 95% confidence interval (CI): 1.7 to 3.3) vs. non-bortezomib therapies (1.7 years; 95% CI: 1.3 to 2.5).Conclusion: Treatment with bortezomib-based regimens results in a deeper response including higher rates of early VGPR at 3 and 6 months from starting therapy. Moreover, these patients achieve cardiac response faster and have lower rate of relapse. However, no difference in overall survival was seen, which may be explained by subsequent use of bortezomib-based therapies in this population. [Display omitted] DisclosuresDispenzieri:Celgene: Research Funding; Alnylam: Research Funding; pfizer: Research Funding; Jannsen: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; GSK: Membership on an entity's Board of Directors or advisory committees; Prothena: Membership on an entity's Board of Directors or advisory committees. Kumar:Millennium: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Onyx: Consultancy, Research Funding; AbbVie: Research Funding; Janssen: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; BMS: Consultancy; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Array BioPharma: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; Kesios: Consultancy; Glycomimetics: Consultancy.

Efficacy of Carfilzomib (K), Pomalidomide (P), and Dexamethasone (d) in Heavily Pretreated Patients with Relapsed/ Refractory Multiple Myeloma (RRMM) in a Real World Setting

Efficacy of Carfilzomib (K), Pomalidomide (P), and Dexamethasone (d) in Heavily Pretreated Patients with Relapsed/ Refractory Multiple Myeloma (RRMM) in a Real World Setting

Outcome of Very Young (≤ 40 years) Patients with Immunoglobulin Light Chain Amyloidosis (AL): A Case Control Study

BACKGROUND Light-chain amyloidosis (AL) is the most common form of systemic amyloidosis, with an incidence of approximately 1 case/100,000 person-years. Clinically relevant data with regard to the very young (≤ 40 years) patients (pts) are scant. We present a case-control study of very young pts with AL seen at a single institution. METHODS We reviewed the medical records of all pts with AL who were consecutively evaluated at Mayo Clinic, Rochester, MN between 01/01/1995 and 12/31/2015. The clinical characteristics and survival outcomes of very young pts at the time of AL diagnosis (cases) were compared to a 2:1 matched cohort of pts (controls) with AL who were 65 years or older and matched by the time of diagnosis. Upfront autologous stem cell transplantation (ASCT) was defined as transplantation within 6 months of the diagnosis of AL. The Kaplan-Meier method was used to all time-to-event analyses. The average years of life lost was computed by subtracting the mean survival from diagnosis observed in the cohort from the mean survival expected in the population based on life-tables. RESULTS Of 3433 pts with AL, 50 (1.5%) pts were ≤ 40 years of age at diagnosis (cases). Fatigue, peripheral edema, dyspnea and bleeding were less common at presentation in cases compared to controls (table A). The cases were also more likely to have liver or GI involvement (OR= 3.45, 95% CI: 1.6-7.2). Unusual initial clinical features in the cases included unprovoked splenic rupture (2%) and erectile dysfunction (4%) observed 6-15 months prior to the diagnosis of AL in cases; no such features were observed in the control group. The median time between the onset of symptoms and definitive diagnosis was 0.4 years (95% CI: 0.3-0.7) for the cases and 1 year (95% CI: 0.8-1.2) for controls (p 10% BMPCs without active myeloma (AL-PCMM) (p=0.16). Monoclonal light chain involvement without involvement of heavy chain was seen in 23 cases (50%) and 31 controls (32%), (OR= 2.1, 95% CI: 1.04-4.37). The median follow-up was similar for cases and controls, [10.9 years (95% CI: 7.6-12) vs 9.9 years (95% CI 8-14)], respectively. The estimated average years-of-life lost was 8.6 years over 20 years of follow-up in cases, (Figure 1a). In cases, 1 and 10-year overall survival (OS) from diagnosis was 73% and 51%, respectively (median OS 12.7 years; 95% CI: 4.0-NR) while, in controls, 1 year and 10 year OS was 62% and 15% respectively (median OS 2.1 years; 95% CI (1.0-3.6), p<0.001), (Figure 1b). Cardiac involvement was associated with a worse OS in both cohorts, (cases: median OS was 3.2 years with cardiac involvement (95% CI: 0.6-8.7) vs NR (95% CI: 8.0-NR) in those without; p=0.003; controls: median OS was 1.1 years with cardiac involvement (95% CI: 0.53-1.6) vs 4.8 years (95% CI: 3.7-8.1) in those without; p=0.02. Thirty one of 47 (66%) cases were eligible and 20 of 79 (25%) controls were eligible for upfront ASCT. In cases, upfront ASCT was associated with a longer OS. Median OS was NR (95% CI: NR-NR) in pts who underwent upfront ASCT (n=25) vs 4.0 years (95% CI: 0.5-8) in pts who did not, p≤0.0001. For controls, the median OS was 9 years (95% CI: 0.5-11) for pts who underwent upfront ASCT (n=7) vs 1.6 years (95% CI: 1.0-2.8) for pts who did not (n=93), p=0.26. In cases, six (12%) pts underwent solid organ transplantation (kidney 5, heart 1) and none in the control arm. CONCLUSIONS AL amyloidosis is infrequently encountered at the age of ≤40 years, but the loss of productive years of life and the disease burden are substantial in this cohort. A substantial delay in diagnosis from the onset of symptoms was noted in our study in the control population. Cardiac involvement remains a primary determinant of prognosis irrespective to age. Although over one-half of young pts are alive 10 years after the diagnosis (contrast ≈15% ≥ 65 years), early mortality remains substantial irrespective of age. An ASCT-based approach is associated with superior outcome in the young. A greater proportion of the young pts is fitter and ASCT-eligible at diagnosis, and should therefore be offered this approach. ![Figure][1] ![Figure][1] ![Figure][1] Disclosures Dispenzieri: Jannsen: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; GSK: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; pfizer: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; Alnylam: Research Funding. Kumar: Array BioPharma: Consultancy, Research Funding; Kesios: Consultancy; Onyx: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; AbbVie: Research Funding; Glycomimetics: Consultancy; Janssen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; BMS: Consultancy; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees. Kapoor: Amgen: Research Funding; Takeda: Research Funding; Celgene: Research Funding. [1]: pending:yes

Whole-Exome Sequencing and Targeted Deep Sequencing of cfDNA Enables a Comprehensive Mutational Profiling of Multiple Myeloma

Background. Cell-free DNA (cfDNA) sequencing enables serial temporal sampling, which offers the possibility of following the dynamics of biomarkers and clonal evolution in Multiple Myeloma (MM) over time. The use of cfDNA in clinical practice as a molecular biomarker and for monitoring response/resistance is dependent on a comprehensive profile of matched cfDNA and tumor DNA (tDNA) samples. Here we performed Ultra-Low Pass Whole Genome Sequencing (ULP-WGS) followed by whole-exome sequencing (WES) and targeted deep sequencing of matched cfDNA/tDNA samples from MM patients.Methods. We performed next generation sequencing of matched cfDNA/tDNA samples for 63 patients with newly diagnosed or relapsed MM, SMM, or MGUS. Libraries were constructed using the Kappa Hyper kit and sequenced by ultra-low-pass whole-genome sequencing (ULP-WGS, 0.1x coverage) to quantify tumor fraction within cfDNA. WES was performed on 30 matched samples cfDNA/tDNA/germline DNA from 10 patients with more than 5% of tumor fraction. Libraries were hybridized to the Nextera Rapid Capture Exome kit (Illumina) and then sequenced on HiSeq 4000 (Illumina). Targeted deep sequencing was performed on 32 matched cfDNA/tDNA samples from 16 patients using the HaloPlex HS technology (Agilent), allowing for molecular barcoding. Libraries were constructed according to the manufacturer's instructions and sequenced on HiSeq 2500 (Illumina). Sequencing data were analyzed using the Firehose pipelines, including MuTect, ABSOLUTE, ReCapSeg, GISTIC and MutSig.Results. We first used a cost-effective approach to establish the tumor content of cfDNA in a large-scale manner by ULP-WGS. Among 63 tested samples (53 MM, 6 SMM and 4 MGUS patient samples), the tumor fraction within cfDNA ranged from 0 to 81% with a mean of 10%. About 43% of these samples had tumor fraction greater than 5% within cfDNA. To assess whether cfDNA can capture the genetic diversity of MM and inform clinical management, we performed WES of matched cfDNA/tDNA/germline DNA samples for 10 patients (mean target coverage 194x). Copy number alterations (CNAs) assessed by WES (ReCapSeg) were consistent between cfDNA and tumor DNA. Similarly, focal CNAs assessed by GISTIC were consistent between tDNA and cfDNA. We then examined the overlap of somatic single nucleotide variants (SSNVs) between WES of cfDNA and matched tDNA. We found, on average, 100% of the clonal and 96% of the subclonal (range 54-100%) SSNVs that were detected in the tumor were confirmed to be present in cfDNA. Similarly, for mutations detected in the cfDNA, we found, on average, 100% of the clonal and 99% of the subclonal (range 98-100%) SSNVs were confirmed in the tumor. To assess whether targeted deep sequencing of cfDNA could be a good proxy for tumor biopsy we used a targeted deep sequencing approach of known MM driver genes. Libraries were prepared using unique molecular barcodes to avoid duplication rates, for 32 matched cfDNA/tDNA samples from 16 patients with MM. The mean target coverage was 596x. We found similar frequencies of altered MM driver genes in both cfDNA and tDNA, including KRAS, NRAS, and TP53, indicating that cfDNA can be used for precision medicine.Conclusions. Our study demonstrates that both WES and targeted deep sequencing of cfDNA are consistently representative of tumor DNA alterations in terms of CNAs, focal CNAs and SSNVs. This approach could therefore be used to longitudinally follow clonal evolution across the course of the disease and precision medicine in patients with MM. DisclosuresPalumbo:Takeda: Employment, Honoraria; Janssen Cilag: Honoraria. Kumar:Noxxon Pharma: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Research Funding; Kesios: Consultancy; Glycomimetics: Consultancy; BMS: Consultancy; Array BioPharma: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; AbbVie: Research Funding; Onyx: Consultancy, Research Funding. Roccaro:Takeda Pharmaceutical Company Limited: Honoraria. Facon:Amgen: Consultancy, Speakers Bureau; Novartis: Consultancy; Janssen: Consultancy, Speakers Bureau; Bristol: Consultancy; Millenium/Takeda: Consultancy; Celgene: Consultancy, Speakers Bureau; Karyopharm: Consultancy. Ghobrial:Celgene: Honoraria, Research Funding; BMS: Honoraria, Research Funding; Noxxon: Honoraria; Novartis: Honoraria; Takeda: Honoraria; Amgen: Honoraria.

Venetoclax Combined with Bortezomib and Dexamethasone for Patients with Relapsed/Refractory Multiple Myeloma

Venetoclax Combined with Bortezomib and Dexamethasone for Patients with Relapsed/Refractory Multiple Myeloma

Survival Trends in Young Patients with Waldenstrom Macroglobulinemia: Over 5 Decades of Experience

BackgroundWaldenstrom macroglobulinemia (WM) is an IgM-associated lymphoplasmacytic lymphoma, first described over seven decades ago. Although WM is typically a disease of the elderly, with a median age at diagnosis of ~ 67 years, approximately 10% of patients are ≤50 years (y) of age at diagnosis. Data for young patients are sparse and the few available studies demonstrate inconsistent findings, with potential overestimation of survival owing to inclusion of patients with smoldering WM. In this case-control study, we evaluate outcomes, prognostic features and impact of changing therapies in a large cohort of young symptomatic WM patients compared to matched older patients seen over the course of the past five decades.MethodsThe medical records of all WM patients seen consecutively at Mayo Clinic from 01/1960 to 10/2013 were reviewed. Of 1181 patients, 140 (11.8%) were ≤ 50 y of age at diagnosis. A cohort of patients 65 y or older at diagnosis, matched 1:1 by the time of diagnosis, served as the control population. The patients were divided into 3 groups based on the timing of initiation of therapy: Group 1 (1960-1977), Group 2 (1978-1995) and Group 3 (1996-2013). The baseline characteristics were compared. Initiation of frontline therapy was used for all time-to-event analysis using the Kaplan Meier method.ResultsYounger patients were more likely to present with adenopathy and splenomegaly, have higher IgM levels and hyperviscosity symptoms (Table 1). The median follow-up from the frontline therapy was similar (10.7 y vs. 10 y for the control population). At the time of analysis, 91% of the deaths for the younger cases were WM-related compared to 58% in the control arm (p=0.0001). Younger patients had a better OS with a median disease-specific survival (DSS) of 15.6 y (95% CI: 13-21; 10-y OS of 77%) vs. 11 y (95% CI: 7.8-12; 10-y OS of 51%) for the older patient (p=0.0003).Among the young patients, there was no difference in the median DSS across the 3 groups (p=0.42). However, the median DSS for the control group incrementally improved (p=0.02) over the 3 time periods (Table 1).In the younger patients, no improvement in DSS was noted with the use of either frontline rituximab-based therapy compared to non-rituximab based regimens [median NR (95% CI: 7.6-NR) vs. 15.8 y (95% CI: 13-22) with other regimens, p=0.30], or frontline chlorambucil-based compared to non-chlorambucil based regimens [median 16 y (95% CI: 12-22) vs 15.6 y (95% CI: 12-NR) with other regimens, p=0.73]. In the control group, however, there was significant difference in DSS among patients who received frontline rituximab-based compared to non-rituximab based regimens [median NR (95% CI: 8.3-NR) vs 9.1 y (95% CI: 5.6-12) with other regimens, p=0.04], or frontline chlorambucil-based vs non-chlorambucil based regimens [8 y (95% CI: 5-12) vs 12.3 y (95% CI: 11-NR) in other regimens; p=0.001].ConclusionStriking differences in presentation are evident in young WM patients compared to their older counterparts. The incorporation of rituximab to the previously existing anti-WM regimens and the transition to non-chlorambucil based regimens has resulted in substantial survival gains in the older WM population over the past five decades. However, such improvement in outcome has not yet been observed in the young patients. The majority of younger patients, despite a protracted disease course, succumb to their disease. [Display omitted] DisclosuresAnsell:BMS, Seattle Genetics, Merck, Celldex and Affimed: Research Funding. Ailawadhi:Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy. Reeder:Novartis: Research Funding; Celgene: Research Funding; BMS: Research Funding; Millennium: Research Funding. Kumar:Kesios: Consultancy; Janssen: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; AbbVie: Research Funding; BMS: Consultancy; Onyx: Consultancy, Research Funding; Glycomimetics: Consultancy; Millennium: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees. Dispenzieri:Alnylam: Research Funding; Celgene: 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; GSK: Membership on an entity's Board of Directors or advisory committees; pfizer: Research Funding; Jannsen: Research Funding. Kapoor:Celgene: Research Funding; Takeda: Research Funding; Amgen: Research Funding.

Thyroid Functional Abnormalities in Newly Diagnosed AL Amyloidosis: Frequency and Influence By Type of Organ Involvement and Disease Burden

AL amyloidosis is a systemic disease with profound effects on organ function. However, despite the broad array of disease manifestations, the effect of AL amyloidosis on thyroid function is underreported. We explored the frequency of thyroid function abnormalities in 961 untreated AL amyloidosis patients seen in our clinic between 8/2005-8/2015, with emphasis on association with other organ involvement and tumor burden. Thyroid function was assessed using the thyroid stimulating hormone assay (TSH, normal range 0.3-5 mIU/L). If TSH was abnormal, measurement of free thyroxine (FT4) and thyroid peroxidase (TPO) antibodies was routinely performed. Patients’ median age was 62 [interquartile range (IQR) 56-69], 62% were male (Table). The median number of organs involved was 2 (IQR 1-3), 29% of patients had more than 2 involved organs. Seventy-seven percent of patients had cardiac involvement, 61% renal, 23% peripheral/autonomic neuropathy, 19% hepatic and 15% gastro-intestinal (GI) involvement. The median difference between involved and uninvolved light chains (dFLC) was 24.4 [interquartile range 10.6-65.2 mg/dL]. The median TSH was 3 mIU/L (range 0.1-50.1); 22% had levels above the normal range and 8% of patients had TSH greater than 7.5 mIU/L. Baseline characteristics by TSH ≤5 mIU/L and TSH >5 mIU/L subgroups can be viewed in Table. Patients with renal or hepatic involvement had higher TSH values compared to no renal or no hepatic involvement (3.2 vs 2.6 and 2.8 vs 3.8, respectively; P<0.001 for both comparisons). There was a borderline significance for higher TSH in patients with >2 organ involvement compared to 1-2 affected organs (3.3 vs 2.8; P=0.05), with a strong trend for higher TSH for dFLC ≥18 mg/dL compared to dFLC<18 mg/dL (P=0.07). In patients with renal involvement, presence of proteinuria > 2 grams/day was associated with a higher likelihood of TSH >7.5 mIU/L (13% vs 5%; P=0.003). Free thyroxine (FT4) measurements were performed in 214 (22%) of patients with a median value of 1.1 ng/dL(range 0.3-72), 6% had levels below the lower limit (0.8 ng/dL). One-hundred and sixty five patients (17%) were screened for TPO antibodies, of which 16% (n=27) had an elevated titer. L-thyroxine (median dose 100 mcg/d, range 25-350 mcg/d) was already prescribed to 157 of the patients (16%) at their first visit, but duration of treatment prior to AL amyloidosis diagnosis could not be determined. Seventeen patients (1.5%) were prescribed amiodarone (median dose 200mg/d, range 100-400 mg/d), and although numbers were low, patients with amiodarone treatment had a TSH twice as high as patients without this treatment (6 vs 2.9 mIU/L, P=0.006). In conclusion, thyroid function abnormalities are frequent at the time of AL amyloidosis diagnosis and are influenced by type of organ involvement as well as disease burden assessed by dFLC and/or number of affected organs. Amiodarone, although infrequently used in this disease, can cause a profound disturbance in thyroid function among these patients. [Display omitted] DisclosuresDispenzieri:Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; pfizer: Research Funding; Celgene: Research Funding; Alnylam: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; Jannsen: Research Funding. Kumar:AbbVie: Research Funding; Array BioPharma: Consultancy, Research Funding; Glycomimetics: Consultancy; Celgene: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Millennium: Consultancy, Research Funding; Onyx: Consultancy, Research Funding; Kesios: Consultancy; BMS: Consultancy; Sanofi: Consultancy, Research Funding; Janssen: Consultancy, Research Funding.

Clinical Presentation and Outcome of Patients with Myeloid Differentiation Factor 88 Gene (MYD88) Wild-Type Waldenstrom Macroglobulinemia

BackgroundWaldenström macroglobulinemia (WM) is a rare, indolent immunoglobulin M- associated lymphoplasmacytic lymphoma characterized by the alternation in the MYD88 locus in 90-95% of the cases. MYD88L265P is the most common alteration in WM patients and is considered a key molecular signature with a pathophysiological role in WM. Because of extremely low prevalence of WM with MYD88 wild type (WT) genotype there is a paucity of clinical and outcome data in this unique patient population. A recent study (Treon et al, Blood May, 2014), in an analysis based on the patients’ MYD88 status, reported on the clinical features including older age at presentation and an unexpectedly higher mortality (38%) in the MYD88WTcohort compared to MYD88L265P patients (mortality 6%, P < .0001). However, the sample size of the MYD88WT WM cohort was small (n=15), with a few events during the short follow-up (median 4.84 years). Herein, we report on larger cohort of WM patients with this rare genotype.MethodsThis study included patients evaluated at Mayo Clinic, Rochester in whom the diagnosis of WM was established based on their clinicopathologic features and the MYD88 mutation status was determined through AS-PCR (assay sensitivity 1% mutant allele) performed on archived bone marrow samples obtained between 2007-2014. Patients with MYD88WT status were the focus of this study. Clinical data were collected from the patients' medical records. The Kaplan-Meir method was utilized for the survival analysis calculated from the time of diagnosis of WM. Outcomes of MYD88WT patients were compared with those harboring the MYD88L265Pmutation.ResultsOur cohort of 171 patients with an established diagnosis of WM and known MYD88 mutation status was found to be enriched for MYD88WT (n=40) patients. All patients required therapy. At diagnosis, the median age of the patients with MYD88 WT was 63 years (range 37.5-83.5 years; comparable to that of the MYD88L265P cohort, median 65 years, range: 32-92 years, p=0.16). Familial WM was identified in 10% of patients. Sixty four percent of patients presented with constitutional symptoms at diagnosis. These symptoms included fatigue (45%), weight loss (17%), night sweats (8%) dizziness (10%), dyspnea (23%), bleeding (10%), headache (10%) and hyper viscosity syndrome (5%). Splenomegaly and lymphadenopathy was observed in 20% and 27% of patients, respectively. Thirteen percent of patients had concomitant AL amyloidosis. Additional baseline characteristics are reported in Table 1. Transformation to a higher grade lymphoma was noted in 9 (23%) of patients, four of whom had received a purine analog and /or chlorambucil previously.The estimated median follow of MYD88WT patients was 8.1years (95% CI: 6.4-8.9) and their median overall survival (OS) was 8.5 years (95% CI: 6.4-29.4). No OS difference was evident between this cohort and the remainder of the patients with the MYD88L265Pmutation (n=131, median OS 11.7 years, 95% CI: 10-18, p=0.7; median follow-up 7.7 years 95% CI: 6.4-9.1, Figure 1).ConclusionIn this relatively large cohort of WM MYD88WT patients with a prolonged follow-up, the MYD88mutation status was not found to be a determinant of patients' outcomes. Our findings contradict the results of a seminal previous study and require external validation, preferably through prospective studies. [Display omitted] [Display omitted] DisclosuresKapoor:Amgen: Research Funding; Takeda: Research Funding; Celgene: Research Funding. Ansell:BMS, Seattle Genetics, Merck, Celldex and Affimed: Research Funding. Kumar:Sanofi: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Glycomimetics: Consultancy; Onyx: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy; Millennium: Consultancy, Research Funding; AbbVie: Research Funding; Kesios: Consultancy.