ALBERT

Description: In the framework of the EU Copernicus programme, the European Centre for Medium-Range Weather Forecasts (ECMWF) on behalf of the Joint Research Centre (JRC) is forecasting daily fire weather indices using its medium-range ensemble prediction system. The use of weather forecasts in place of local observations can extend early warnings by up to 1–2 weeks, allowing for greater proactive coordination of resource-sharing and mobilization within and across countries. Using 1 year of pre-operational service in 2017 and the Fire Weather Index (FWI), here we assess the capability of the system globally and analyse in detail three major events in Chile, Portugal and California. The analysis shows that the skill provided by the ensemble forecast system extends to more than 10 d when compared to the use of mean climate, making a case for extending the forecast range to the sub-seasonal to seasonal timescale. However, accurate FWI prediction does not translate into accuracy in the forecast of fire activity globally. Indeed, when all fires detected in 2017 are considered, including agricultural- and human-induced burning, high FWI values only occur in 50 % of the cases and are limited to the Boreal regions. Nevertheless for very large events which were driven by weather conditions, FWI forecasts provide advance warning that could be instrumental in setting up management and containment strategies.

Description: Patients with multiple myeloma (MM) carrying high-risk cytogenetic abnormalities (CA) have inferior outcome despite achieving similar complete response (CR) rates when compared to cases with standard-risk CA. This questions the legitimacy of CR as treatment endpoint for high-risk MM, and represents a biological conundrum regarding the nature of tumor reservoirs persisting after therapy in patients with standard- and high-risk CA. Here, we used next-generation flow (NGF) to evaluate measurable residual disease (MRD) in MM patients with standard- (N=300) vs high-risk CA (N=90) enrolled in the PETHEMA/GEM2012MENOS65 trial (NCT01916252), and to identify mechanisms determining MRD resistance in both patient subgroups (N=40). The 36-month progression-free and overall survival rates were higher than 90% in patients with undetectable MRD, with no significant differences (P≥0.202) between cases having standard- vs high-risk CA. Persistent MRD resulted in median progression-free survival of approximately three and two years in patients with standard- and high-risk CA, respectively (P

Description: Granulocytic myeloid-derived suppressor cells (G-MDSCs) promote tumor growth and immunosuppression in multiple myeloma (MM). However, their phenotype is not well established for accurate monitoring or clinical translation. We aimed to provide the phenotypic profile of G-MDSCs based on their prognostic significance in MM, immunosuppressive potential, and molecular program. The preestablished phenotype of G-MDSCs was evaluated in bone marrow samples from controls and MM patients using multidimensional flow cytometry; surprisingly, we found that CD11b+CD14−CD15+CD33+HLADR− cells overlapped with common eosinophils and neutrophils, which were not expanded in MM patients. Therefore, we relied on automated clustering to unbiasedly identify all granulocytic subsets in the tumor microenvironment: basophils, eosinophils, and immature, intermediate, and mature neutrophils. In a series of 267 newly diagnosed MM patients (GEM2012MENOS65 trial), only the frequency of mature neutrophils at diagnosis was significantly associated with patient outcome, and a high mature neutrophil/T-cell ratio resulted in inferior progression-free survival (P 〈 .001). Upon fluorescence-activated cell sorting of each neutrophil subset, T-cell proliferation decreased in the presence of mature neutrophils (0.5-fold; P = .016), and the cytotoxic potential of T cells engaged by a BCMA×CD3-bispecific antibody increased notably with the depletion of mature neutrophils (fourfold; P = .0007). Most interestingly, RNA sequencing of the 3 subsets revealed that G-MDSC–related genes were specifically upregulated in mature neutrophils from MM patients vs controls because of differential chromatin accessibility. Taken together, our results establish a correlation between the clinical significance, immunosuppressive potential, and transcriptional network of well-defined neutrophil subsets, providing for the first time a set of optimal markers (CD11b/CD13/CD16) for accurate monitoring of G-MDSCs in MM.

Description: Risk of developing myelodysplastic syndrome (MDS) is significantly increased in both multiple myeloma (MM) and monoclonal gammopathy of undetermined significance, suggesting that it is therapy independent. However, the incidence and sequelae of dysplastic hematopoiesis at diagnosis are unknown. Here, we used multidimensional flow cytometry (MFC) to prospectively screen for the presence of MDS-associated phenotypic alterations (MDS-PA) in the bone marrow of 285 patients with MM enrolled in the PETHEMA/GEM2012MENOS65 trial (#NCT01916252). We investigated the clinical significance of monocytic MDS-PA in a larger series of 1252 patients enrolled in 4 PETHEMA/GEM protocols. At diagnosis, 33 (11.6%) of 285 cases displayed MDS-PA. Bulk and single-cell–targeted sequencing of MDS recurrently mutated genes in CD34+ progenitors (and dysplastic lineages) from 67 patients revealed clonal hematopoiesis in 13 (50%) of 26 cases with MDS-PA vs 9 (22%) of 41 without MDS-PA; TET2 and NRAS were the most frequently mutated genes. Dynamics of MDS-PA at diagnosis and after autologous transplant were evaluated in 86 of 285 patients and showed that in most cases (69 of 86 [80%]), MDS-PA either persisted or remained absent in patients with or without MDS-PA at diagnosis, respectively. Noteworthy, MDS-associated mutations infrequently emerged after high-dose therapy. Based on MFC profiling, patients with MDS-PA have altered hematopoiesis and T regulatory cell distribution in the tumor microenvironment. Importantly, the presence of monocytic MDS-PA at diagnosis anticipated greater risk of hematologic toxicity and was independently associated with inferior progression-free survival (hazard ratio, 1.5; P = .02) and overall survival (hazard ratio, 1.7; P = .01). This study reveals the biological and clinical significance of dysplastic hematopoiesis in newly diagnosed MM, which can be screened with moderate sensitivity using cost-effective MFC.

Description: This study aims to assess the economic efficiency of Tunisian olive oil firms in order to identify the organizational and technological variables that are directly associated with greater efficiency. The Data Envelopment Analysis (DEA) and fuzzy sets Qualitative Comparative Analysis (fsQCA) method were used to achieve this. We find the managing director’s education level and information and communication technologies (ICT) training, the longevity of the company in inverse relationship with efficiency, the company’s presence on and use of virtual social networks, and the outsourcing of ICT management in combination have significant explanatory power in the companies that display greater economic efficiency.

Description: The primary cause of morbidity and mortality in patients with multiple myeloma(MM) is an infection. Therefore there is great concern about the susceptibility to the outcome of COVID-19 infected patients with MM. This retrospective study describes the baseline characteristics and outcome data of COVID-19 infection in 650 patients with plasma cell disorders, collected by the International Myeloma Society to understand the initial challenges faced by myeloma patients during COVID-19 pandemic. Analysis were performed for hospitalized MM patients. Among hospitalized patinets, the median age was 69 years, and nearly all patients(96%) had MM. Approximately 36% were recently diagnosed(2019-2020), and 54% of patients were receiving first-line therapy. Thirty-three percent of patients have died, with significant geographic variability, ranging from 27% to 57% of hospitalized patients. Univariate analysis identified age, ISS3, high-risk disease, renal disease, suboptimal myeloma control(active or progressive disease), and one or more comorbidities as risk factors for higher rates of death. Neither history of transplant, including within a year of COVID-19 diagnosis, nor other anti-MM treatments were associated with outcomes. Multivariate analysis found that only age, high-risk MM, renal disease, and suboptimal MM control remained independent predictors of adverse outcome with COVID-19 infection. The management of MM in the era of COVID-19 requires careful consideration of patient and disease-related factors to decrease the risk of acquiring COVID-19 infection, while not compromising disease control through appropriate MM treatment. This study provides initial data to develop recommendations for the management of MM patients with COVID-19 infection.

Description: Background: Evaluation of MRD is standard in patients with AML. However, the role of decentralized MRD assessment for risk stratification in AML remains largely unknown, and so it does which methodological aspects are critical to empower the evaluation of MRD with prognostic significance, particularly if using MFC. Aim: To evaluate the role of decentralized MRD assessment using MFC for risk stratification and putative treatment individualization of patients with AML. Methods: This study was performed on 1,076 AML patients in complete remission (CR) after 7+3 induction chemotherapy, in whom MRD was evaluated by MFC in local laboratories over a period of 20 years in the PETHEMA group. We conducted a survey of technical aspects of MFC based MRD testing in the laboratories of the 60 participating Hospitals, to determine the impact of methodological heterogeneity in the prognostic value of MFC. Results: We first investigated the most effective MRD cutoff to stratify patients' risk at first remission. Patients were segmented into progressively higher cutoffs, starting at 0.01% followed by 0.05%, 0.1%, 0.5% and 1%. Our results showed that 0.1% reached higher statistical significance to discriminate patients with different relapse-free survival (RFS, HR: 0.77; P = .001) and overall survival (OS, HR: 0.73; P = .001). In multivariate analyses together with patients' age, WBC, genetic risk and post-consolidation therapy, MRD status was selected as an independent prognostic factor for OS. To further define the utility of "real-world" MRD assessment using MFC in risk stratification of AML, recursive partitioning was performed using the prognostic and treatment related factors selected in the multivariate Cox model for OS. Of the four variables evaluated, hematopoietic stem cell transplantation (HSCT, regardless of autologous or allogeneic source) vs no transplant emerged as the best single discriminator for OS, followed by genetic risk, age and MRD status. There were two branching points defined by MRD status; the first in patients ≤60 years with intermediate genetic risk who were not transplanted and the second in patients with adverse genetics who were not transplanted, in whom 500,000 cells were measured. Only MRD assessment using patient-specific panels was predictive of outcome. Conclusions: We report here one of the largest studies investigating the role of MRD monitoring using MFC. Our results confirmed that detection of MRD identifies patients in CR/CRi with inferior survival, but uncovered that decentralized MRD testing lacks significance when compared to other baseline risk factors and in the context of risk-adapted post-consolidation strategies. Thus, while this study demonstrated that "real-world" decentralized assessment of MRD using MFC does provide prognostic information in AML patients at first remission, our results question its readiness for risk stratification towards clinical decisions outside trials, at least until adequate standardization of this technique is achieved. Figure Disclosures Paiva: SkylineDx: Consultancy; Takeda: Consultancy, Honoraria, Research Funding; Roche: Research Funding; Adaptive: Honoraria; Amgen: Honoraria; Janssen: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Kite: Consultancy; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Sanofi: Consultancy, Honoraria, Research Funding. Alonso Dominguez:Celgene: Research Funding; Incyte: Research Funding; Pfizer: Research Funding. Martinez-Lopez:Janssen: Speakers Bureau; Altum: Membership on an entity's Board of Directors or advisory committees, Patents & Royalties; Hosea: Membership on an entity's Board of Directors or advisory committees, Patents & Royalties; Roche: Speakers Bureau; Amgen: Speakers Bureau; Takeda: Speakers Bureau; Vivia Biotech: Honoraria; Novartis: Research Funding; BMS: Research Funding, Speakers Bureau; Incyte: Research Funding, Speakers Bureau. Sossa:Astellas: Honoraria; Roche: Honoraria; Takeda: Honoraria; Novo: Honoraria. San-Miguel:Roche, AbbVie, GlaxoSmithKline, and Karyopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb, Celgene, Novartis, Takeda, Amgen, MSD, Janssen, and Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees.

Description: Background: MM inevitably relapses and becomes refractory to treatment, representing a patient (pt) population with unmet needs. Teclistamab (JNJ-64007957) is a bispecific BCMA x CD3 antibody that induces T cell-mediated cytotoxicity against BCMA-expressing MM cells. Previously presented results from an ongoing study of teclistamab in RRMM (NCT03145181) included a 67% objective response rate [ORR] for the 270 µg/kg dose administered intravenously (iv) (Usmani et al, ASCO 2020 Oral Presentation #100). Here we present updated results and newly available data for subcutaneous (sc) administration. Methods: Pts have MM that is RR to established therapies. The primary objective is to identify a recommended phase 2 dose(s) (RP2D). Multiple sc and iv doses ± step-up doses were explored. Adverse events (AEs) were graded per CTCAE v4.03 and cytokine release syndrome (CRS) per Lee et al 2014. Response was investigator-assessed using IMWG criteria; minimal residual disease (MRD) in bone marrow was assessed by next generation sequencing. Results: As of 20 Jul 2020, iv teclistamab (0.3-720 µg/kg) and sc teclistamab (20-3000 µg/kg) were received by 84 and 44 pts, respectively. Overall, median age was 64 y (24-82), median number of prior lines of therapies (LOT) was 6 (2-14), 95%/79% triple-class exposed/refractory, 70%/38% penta-drug exposed/refractory, and 91% refractory to last LOT. AEs in 〉20% of pts (both iv and sc combined) included anemia (55%), neutropenia (55%), thrombocytopenia (41%), and leukopenia (26%), as well as non-hematologic events of CRS (53%), pyrexia (28%), diarrhea (24%), cough (23%), fatigue (23%), nausea (22%), back pain (20%), and headache (20%). 39% of pts had treatment-related grade ≥3 AEs; neutropenia (23%) and anemia (9%) were most frequent. CRS occurred in 55% and 50% of pts with iv and sc dosing, respectively, tending to occur later (relative to the most recent dose) with sc administration (median time to onset of 1.0 day iv and 2.0 days sc). CRS events were all gr 1 (n=51) or 2 (n=17) and generally confined to initial doses. 5% of pts (all iv) had neurotoxicity (2% gr ≥3), and 12% had treatment-related infusion/injection related reaction (including 4 infusion reactions [all iv, 5%] and 11 injection related reactions [all sc, 25%], all gr 1/2). Gr 3 or higher infection-related AEs were reported in 15% of pts (3% treatment related). Four gr 5 AEs were reported (all iv and considered unrelated to treatment by investigator except for 1 case of pneumonia). Pharmacokinetic results showed that the half-life of teclistamab supports weekly iv dosing. Exposure increased in an approximately dose-proportional manner following weekly iv or sc treatment dosing. 1500 µg/kg sc dose had comparable Cmax to that of 270 µg/kg iv and higher trough levels than that of 720 µg/kg iv. Individual time to reach Cmax following sc dosing ranged from Day 3 - Day 8. Teclistamab treatment in both iv and sc cohorts led to pharmacodynamic changes supporting mechanism of action, including increases in T cell activation and circulating cytokine levels, such as IL-10, IL-2Ra and IL-6. 120 pts were evaluable for response, with the highest and most active dose levels of 270 µg/kg and 720 µg/kg weekly for iv and 720 µg/kg and 1500 µg/kg weekly for sc (of note, response data for 3000 µg/kg sc is not yet mature). Combining these 4 iv and sc dose levels, ORR was 30/47 (63.8%, including n=24 with very good partial response [VGPR] or better and n=9 with complete response [CR] or better). 1500 µg/kg sc was selected as a RP2D, and currently at this dose, 6 of 6 pts are in response (3 PR, 1 VGPR, 2 stringent CR) with progressive deepening of responses over time. Among 48 pts with responses across all iv and sc cohorts, median time to first response was 1 mo (range, 0.3-4.2) and median duration of response has not been reached, with 38 responding pts remaining on therapy 1.6 to 21.3+ months. Of MRD-evaluable pts who had a CR, 4/5 pts treated in the iv cohorts and 2/2 pts in the sc cohorts are MRD negative at 10-6. Conclusions: Teclistamab has a manageable safety profile, which includes low-grade CRS (with no gr ≥3 events) and low severe infection and neurotoxicity rates with both iv and sc administration. Deep and durable responses were observed with both iv and sc administration. The encouraging tolerability and efficacy of teclistamab support the planned phase 2 monotherapy (at 1500 µg/kg sc) trial and future combination studies. Disclosures Garfall: Tmunity: Consultancy, Other: Personal fees, Research Funding; Kite Pharma: Other: Personal fees; Amgen: Research Funding; Novartis: Research Funding; GSK: Consultancy; Janssen: Consultancy, Research Funding; Surface Oncology: Consultancy. Usmani:Merck: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; Incyte: Research Funding; SkylineDX: Consultancy, Research Funding; GSK: Consultancy, Research Funding; Celgene: Other; Amgen: Consultancy, Honoraria, Other: Speaking Fees, Research Funding; Array Biopharma: Research Funding; Abbvie: Consultancy; BMS, Celgene: Consultancy, Honoraria, Other: Speaking Fees, Research Funding; Sanofi: Consultancy, Honoraria, Research Funding; Pharmacyclics: Research Funding; Janssen: Consultancy, Honoraria, Other: Speaking Fees, Research Funding; Takeda: Consultancy, Honoraria, Other: Speaking Fees, Research Funding. Mateos:Adaptive: Consultancy; Amgen: Consultancy; GlaxoSmithKline: Consultancy; Pharmamar: Consultancy; Janssen: Consultancy; Celgene: Consultancy; EDOMundipharma: Consultancy; AbbVie: Consultancy; Takeda: Consultancy. van de Donk:Bayer: Membership on an entity's Board of Directors or advisory committees; Amgen: 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; Novartis: Membership on an entity's Board of Directors or advisory committees; Ferrer: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding. San-Miguel:Amgen, BMS, Celgene, Janssen, MSD, Novartis, Takeda, Sanofi, Roche, Abbvie, GlaxoSmithKline and Karyopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees. Oriol Rocafiguera:Amgen: Consultancy, Speakers Bureau; GSK: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; BMS/Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Chari:Seattle Genetics: Consultancy, Research Funding; Karyopharm: Consultancy; Bristol Myers Squibb: Consultancy; Pharmacyclics: Research Funding; Array BioPharma: Honoraria; The Binding Site: Honoraria; Sanofi Genzyme: Consultancy; Adaptive Biotechnology: Honoraria; Novartis: Honoraria; Takeda: Consultancy, Research Funding; Antengene: Consultancy; Amgen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Secura Bio: Consultancy; Glaxo Smith Kline: Consultancy; Oncopeptides: Consultancy. Bhutani:Prothena: Other: Clinical Trial Funding to Institute; Janssen: Other: Clinical Trial Funding to Institute; Takeda: Other: Clinical trial funding to institute, Speakers Bureau; Amgen: Speakers Bureau; BMS: Other: Clinical trial funding to institute, Speakers Bureau; Sanofi Genzyme: Consultancy; MedImmune: Other: Clinical Trial Funding to Institute. Pei:J&J: Current Employment, Current equity holder in publicly-traded company. Verona:Johnson & Johnson: Current Employment, Current equity holder in publicly-traded company. Girgis:Johnson & Johnson: Current Employment, Current equity holder in private company. Stephenson:Johnson & Johnson: Current Employment, Current equity holder in private company. Goldberg:Johnson & Johnson: Current Employment, Current equity holder in publicly-traded company. Banerjee:Janssen: Current Employment. Krishnan:BMS/Celgene: Consultancy, Other: Stock BMS, Speakers Bureau; Janssen: Consultancy; Takeda: Speakers Bureau; Z Predicta: Membership on an entity's Board of Directors or advisory committees; Amgen: Speakers Bureau; Sanofi: Consultancy; Sutro: Membership on an entity's Board of Directors or advisory committees; Regeneron: Consultancy.

Description: Introduction: Carfilzomib dosed at 56 mg/m2 twice a week in combination with dexamethasone (Kd) is a standard of care for RRMM after 1-3 prior lines (PL) based on the ENDEAVOR study. Later, the ARROW study showed Kd dosed at 70 mg/m2 weekly to be superior to Kd dosed at 27 mg/m2 twice a week on RRMM patients (pts) after 2-3 PL. On the other side, Cyclophosphamide is an alkylating agent that has been widely combined with proteasome inhibitors and immunomodulatory drugs in MM, improving their efficacy with a good safety profile. In this phase 2 randomized study, we have compared Kd plus cyclophosphamide (KCyd) with Kd in RRMM after 1-3PL, both with K dosed weekly at 70 mg/m2. Patients and methods: RRMM after 1-3 PL of therapy were included in the trial. Consistently with the ENDEAVOR population, previous therapy with proteasome inhibitors was allowed but refractory patients were excluded. Pts were randomized 1:1 to receive K at a dose of 70 mg/m2 iv on days 1, 8 and 15 plus dexamethasone at a dose of 20 mg PO the day on and the day after K plus/minus KCyd at a dose of 300 mg/m2 IV on days 1, 8 and 15 of each 28 days-cycle, as continuous treatment until progressive disease or unacceptable toxicity. The primary endpoint was PFS and key secondary endpoints included response rates, safety profile, and OS. Results: Between January 2018 and February 2020, 198 RRMM pts were included. 97 pts were randomized to KCyd and 101 to Kd. The baseline characteristics of the patients were well balanced between both groups. The median age was 70 years, and 70% and 28% of pts were older than 65 and 75. The median number of PL was one; 61% of pts had received 1 prior line. 94% and 92% of patients had been exposed to bortezomib in the KCyd and Kd and all of them were sensitive. 72% and 67% of patients had been exposed to IMiD's and 51% and 55% of them were IMiD's-refractory in the KCyd and Kd. Only 4 and 6 patients in KCyd and Kd, had received anti-CD38 antibodies being all refractory. After a median f/u of 15.6 months, median PFS was 20.7 m and 15.2 m in KCyd and Kd (p=0.2). In pts after 1PL, median PFS has not been reached in any arm (p=0.4) and in patients after 2-3PL, KCyd resulted in a median PFS of 20.7 vs 11m for Kd (p=0.4). Of note, in the IMiD-refractory population, the addition of Cy to Kd resulted in a significant benefit in terms of PFS: 26.2 months vs 7.7 months in the Kd arm (p=0.01). OS is immature with 23 and 25 events so far in KCyd and Kd, respectively. The ORR was 78% for KCyd and 73% for Kd: 20% of patients in both arms achieved at least complete response, 33% and 28% very good partial response, respectively, and 25% partial response in both arms. The MRD-ve rate was 4% and 5%. As far as toxicity is concerned, neutropenia was the only hematological adverse event more frequently reported in KCyd compared with Kd, of any grade (24% vs 11%) and grade 3-4 (13% vs 7%). This did not translate into more infections and the rate was comparable in both arms (5% G3-4 in both arms). Thrombocytopenia of any grade and grade 3-4 occurred in 14%/1% and 18%/10% in KCyd/Kd. Cardiovascular events of any grade occurred in 22% and 30% of patients in KCyd and Kd. Nine pts in KCyd developed G3-4 cardiovascular events, these included atrial fibrillation (1pt), cardiac failure (2 pts), myocardial infarct (2 pts), and hypertension (4 pts). In the Kd arm, 11 patients developed G3-4 cardiovascular events and consisted of hypertension in most of them (9 pts). Conclusion: Cyclophosphamide added to Kd 70 mg/m2 weekly in RRMM pts after 1-3 PL prolonged the PFS as compared to Kd particularly in the lenalidomide-refractory population. The administration of K at a dose of 70 mg/m2 weekly was safe and more convenient and overall, the toxicity profile was manageable in both arms. Disclosures Mateos: Abbvie/Genentech: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Regeneron: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen-Cilag: Consultancy, Honoraria; PharmaMar-Zeltia: Consultancy; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Honoraria, Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: Consultancy; Takeda: Consultancy, Honoraria, 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; Janssen: 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; Adaptive Biotechnologies: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Ocio:Janssen: Consultancy, Honoraria, Speakers Bureau; Celgene: Consultancy, Honoraria; Asofarma: Honoraria; Sanofi: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Takeda: Honoraria; GSK: Consultancy; MDS: Honoraria; Secura-Bio: Consultancy; Oncopeptides: Consultancy. Sureda Balari:Novartis: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Roche: Honoraria; Takeda: Consultancy, Honoraria, Speakers Bureau; Sanofi: Consultancy, Honoraria; Merck Sharpe and Dohme: Consultancy, Honoraria, Speakers Bureau; Celgene/Bristol-Myers Squibb: Consultancy, Honoraria; BMS: Speakers Bureau; Incyte: Consultancy; Celgene: Consultancy, Honoraria; Gilead/Kite: Consultancy, Honoraria. Oriol:Celgene/Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Consultancy, Speakers Bureau; Janssen: Consultancy; Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees. Rosinol Dachs:Janssen: Honoraria; Celgene: Honoraria; Amgen: Honoraria; Takeda: Honoraria; Sanofi: Honoraria. Blade Creixenti:Takeda: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees. San-Miguel:Amgen, BMS, Celgene, Janssen, MSD, Novartis, Takeda, Sanofi, Roche, Abbvie, GlaxoSmithKline and Karyopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees.

Description: Introduction Multiple Myeloma (MM) is a heterogeneous disease with a complex clonal and subclonal architecture with few recurrent mutations. The arrival of next-generation sequencing (NGS) has allowed us to have a deeper understanding of the disease. Due to that complexity and the low recurrence of "driver" mutations, the study of general mutational profile, copy number variation (CNV) and translocations is crucial to make an accurate diagnosis and prognosis. For that reason, a clinically validated NGS capture panel has been designed to analyze in a single assay all interesting genetic aberrations simultaneously including SNVs, indels, CNVs and chromosomal translocations. Methods In addition to genomic DNA (gDNA) from 33 healthy donors to create a robust baseline forCNV detection,we studied 161 DNA samples from 149 newly diagnosed MM patients enrolled in the GEM2012MENOS65clinical trial and treated homogeneously: gDNA from 149 BM CD138+ plasma cells and 12 paired cfDNA from peripheral blood samples obtained at diagnosis. First, starting with 100 ng of gDNA and 200ng for cfDNA samples, a custom targeted NGS panel using SureSelect capture technology (Agilent) followed by NextSeq500 (Illumina) sequencing identified SNVs, indels, CNVs and the most relevant IGH translocations within 26genes involved with MM. The average sequencing depth was 609x across samples; and 98% of the targeted regions were sequenced with 〉200x. Second, NGS custom panel results were compared with FISH (n=88) and whole exome sequencing (SureSelect XT V6) (n=48) results. Both NGS panel and exome raw data were analyzed by DREAMgenics applying a custom bioinformatic pipeline. Finally, 5 discordant cases were followed-up by SNP-arrays. Results We have identified 408 exonic and non-synonymous variants. At least 1 oncogenic mutation was detected in 86% (128/149) of patients. NRAS was mutated in25% of patients, followed by KRAS(23%), BRAF(12%) DIS3(11%) and TP53(9%). Other interesting pathogenic mutations were identified in FGFR3 andHIST1H1E genes in 9% and 5% of patients, respectively. In 92% (11/12) of cfDNA samples at least 1 oncogenic mutation was detected. For this 12 cases, paired samples (BM CD138+vscfDNA) were available. A total of 39 somatic mutations were identified in those cases. In cfDNA, 10 mutations were detected, and 5 were present in both samples. Furthermore, a mean decrease of 0.19VAF was observed in cfDNA (0.12; 0.01-0.48) vs plasma cells (0.31; 0.01-0.51). Regarding to CNV, 1q gain was detected in 32% of patients (28/88), and 1p and 17p deletions in 17% (15/88) and 13% (11/88), respectively. Additionally, ATR and CRBN gene amplifications were detected in 22% and 16%, respectively. When these data were compared to FISH, a 75% of sensitivity and 91% of specificity was achieved by our method, with a PPV of 68% and a NPG of 93%. Translocations were identified in 28% (25/88) of patients, including 7% (6/88)) t(11;14), 14% (12/88), t(4;14), and 1 patient t(14;16). We also detected t(6;14)(p21;q32) IGH/CCND3 in 3 patients that had also been described in MM.Translocations were detected with a 94% of sensitivity, 99% of specificity, with a predictive positive value of 94% and a predictive negative value of 99%. Importantly, NGS-based method revealed a t(10;14) in 3 patients that had not been identified by FISH, a new translocation implying the miRNA hsa-mir-4537. Finally, the impact on PFS from FISH and NGS results was analyzed separately. PFS was similar for translocations and 17p deletions. However, 1p-detected by NGS showed a higher negative prognostic impact (p=0,006 vs p=0,127 by FISH)(Fig.1). Furthermore, our panel showed that 7% of patients (6/88) had a bi-allelic TP53 inactivation. Survival analysis showed that these patients relapsed significantly earlier than the others (p=0.028). Amplifications (≥4 copies) in 1q+could not identified with this panel. Conclusions Our custom NGS-based test allows in a single assay a more comprehensive study of the genomic landscape of MM patients by (a) detecting with a high sensitivity the most important and recurrent mutations and cytogenetic alterations, (b) identifying translocations and CNVs not previously detected by FISH and (c) identifying a double-hit MM patient. Additionally, cfDNA could be analyzed with this NGS strategy identifying molecular alterations in most of the patients. Disclosures Oriol: Celgene: Consultancy, Speakers Bureau; Amgen: Consultancy, Speakers Bureau; Janssen: Consultancy. Sureda Balari:Takeda: Consultancy, Honoraria, Speakers Bureau; Celgene/Bristol-Myers Squibb: Consultancy, Honoraria; Roche: Honoraria; Sanofi: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Gilead/Kite: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Incyte: Consultancy; Celgene: Consultancy, Honoraria; BMS: Speakers Bureau; Merck Sharpe and Dohme: Consultancy, Honoraria, Speakers Bureau. de la Rubia:Janssen: Consultancy, Other: Expert Testimony; Celgene: Consultancy, Other: Expert Testimony; Amgen: Consultancy, Other: Expert Testimony; Ablynx/Sanofi: Consultancy, Other: Expert Testimony. Mateos:Oncopeptides: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees; PharmaMar-Zeltia: Consultancy; Abbvie/Genentech: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen-Cilag: Consultancy, Honoraria; Regeneron: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: Consultancy; Takeda: Consultancy, Honoraria, 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; Janssen: 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. Blade Creixenti:Amgen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees. San-Miguel:Amgen, BMS, Celgene, Janssen, MSD, Novartis, Takeda, Sanofi, Roche, Abbvie, GlaxoSmithKline and Karyopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees. Garcia-Sanz:Novartis: Honoraria; Janssen: Honoraria, Research Funding; Incyte: Research Funding; Gilead: Honoraria, Research Funding; BMS: Honoraria; Amgen: Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Honoraria; Takeda: Consultancy, Research Funding. Martinez-Lopez:Novartis: Research Funding; BMS: Research Funding, Speakers Bureau; Incyte: Research Funding, Speakers Bureau; Janssen: Speakers Bureau; Roche: Speakers Bureau; Amgen: Speakers Bureau; Takeda: Speakers Bureau; Vivia Biotech: Honoraria; Altum: Membership on an entity's Board of Directors or advisory committees, Patents & Royalties; Hosea: Membership on an entity's Board of Directors or advisory committees, Patents & Royalties.