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Background Patients with cancer are considered highly vulnerable to the recent coronavirus disease 2019 (COVID‐19) pandemic. However, there are still few data on COVID‐19 occurring in hematologic patients. Methods One hundred two patients with COVID‐19 symptoms and a nasopharyngeal swab positive for severe acute respiratory syndrome coronavirus 2 seen at 2 hematologic departments located in Lombardy, Italy, during March 2020 were studied. Risk factors for acquiring COVID‐19 were analyzed by comparisons of patients with COVID‐19 and the standard hematologic population managed at the same institutions in 2019. Thirty‐day survival was compared with the survival of matched uninfected control patients with similar hematologic disorders and nonhematologic patients affected by COVID‐19. Results Male sex was significantly more prevalent in patients with COVID‐19. The infection occurred across all different types of hematologic disease; however, the risk of acquiring a COVID‐19 infection was lower for patients with chronic myeloproliferative neoplasms, including chronic myeloid leukemia, and higher for patients with immune‐mediated anemia on immunosuppressive‐related treatments. The 30‐day mortality rate was 39.2%, which was higher than the rates for nonhematologic patients with COVID‐19 (23.5%; P = .02) and uninfected hematologic controls (3%; P < .001). The severity of the respiratory syndrome at presentation and active hematologic treatment were independently associated with a worse prognosis. Neither diagnosis nor disease status affected the prognosis. The worst prognosis was demonstrated among patients on active hematologic treatment and those with more severe respiratory syndrome at COVID‐19 presentation. Conclusions During the COVID‐19 pandemic, patients should be advised to seek medical attention at the earliest signs of dyspnea and/or respiratory infection. Physicians should perform a risk‐benefit analysis to determine the impact of temporarily deferring nonlifesaving treatments versus the risk of adverse outcomes associated with COVID‐19. Lay Summary Coronavirus disease 2019 (COVID‐19) infection occurs across all different types of hematologic disease; however, the risk of acquiring it is lower for patients with chronic myeloproliferative neoplasms, including chronic myeloid leukemia, and higher for patients with immune‐mediated anemia on immunosuppressive treatment. The 30‐day mortality rate is 39.2%, which is far higher than the rates for both uninfected hematologic controls (3%; P < .001) and nonhematologic patients with COVID‐19 (23.5%; P = .02) despite matching for age, sex, comorbidities, and severity of disease. Variables independently associated with a worse prognosis are the severity of the respiratory syndrome at presentation and any type of active hematologic treatment. Neither diagnosis nor disease status influence the prognosis.

Background: Proteasome inhibitor (PI)-based induction and consolidation proved to be effective in newly diagnosed multiple myeloma (NDMM) patients (pts) eligible for melphalan 200 mg/m2-autologous stem cell transplant (MEL200-ASCT). High response rates have been reported with the second-generation PI Carfilzomib in combination with Lenalidomide-dexamethasone (KRd) or Cyclophosphamide-dexamethasone (KCd). Aims: The primary aim was to evaluate the efficacy and safety of KRd induction-ASCT-KRd consolidation (KRd-ASCT-KRd) vs 12 cycles of KRd (KRd12) vs KCd induction-ASCT-KCd consolidation (KCd-ASCT-KCd). Methods: NDMM pts ≤65 years were randomized (1:1:1; stratification ISS and age) to: KRd-ASCT-KRd: 4 28-day cycles with KRd induction (Carfilzomib 20/36 mg/m2 IV days 1,2,8,9,15,16; Lenalidomide 25 mg days 1-21; dexamethasone 20 mg days 1,2,8,9,15,16) followed by MEL200-ASCT and 4 KRd consolidation cycles; KRd12: 12 KRd cycles; KCd-ASCT-KCd: 4 28-day induction cycles with KCd (Carfilzomib 20/36 mg/m2 IV days 1,2,8,9,15,16; Cyclophosphamide 300 mg/m2 days 1,8,15; dexamethasone 20 mg days 1,2,8,9,15,16) followed by MEL200-ASCT and 4 KCd consolidation cycles. Thereafter, pts were randomized to maintenance with Lenalidomide alone or plus Carfilzomib. Centralized minimal residual disease (MRD) evaluation - 8-color second generation flow cytometry, sensitivity 10-5 - was performed in pts achieving ≥very good partial response (VGPR). Endpoints were pre-maintenance stringent complete response (sCR) and MRD negativity in intention-to-treat (ITT) analysis. Data cut-off was May 30, 2018. Results: 474 NDMM pts were randomized (KRd-ASCT-KRd, n=158; KRd12, n=157; KCd-ASCT-KCd, n=159) and analyzed. Pts characteristics were well balanced. Median follow-up was 20 months. Depth of response improved during treatment (Figure). By ITT analysis, rates of pre-maintenance sCR was similar between KRd-ASCT-KRd (41%) and KRd12 (42%), and significantly higher than with KCd-ASCT-KCd (30%; P value KRd-ASCT-KRd vs KCd-ASCT-KCd=0.047; P value KRd12 vs KCd-ASCT-KCd=0.028). Similarly, rate of ≥CR was 49% with KRd-ASCT-KRd, 52% with KRd12 and 38% with KCd-ASCT-KCd (P value KRd-ASCT-KRd vs KCd-ASCT-KCd=0.041; P value KRd12 vs KCd-ASCT-KCd=0.014) and rate of ≥CR+unconfirmed CR (missing immunofixation confirmation) raised to 60% vs 63% vs 46% in the 3 groups, respectively; rate of ≥VGPR was 88% with KRd-ASCT-KRd, 86% with KRd12 and 74% with KCd-ASCT-KCd (P value KRd-ASCT-KRd vs KCd-ASCT-KCd=0.002; P value KRd12 vs KCd-ASCT-KCd=0.008). In multivariate analysis, the main factor affecting probability of achieving ≥VGPR, ≥CR or sCR was treatment with KRd-ASCT-KRd or KRd12 vs KCd, with no significant impact of ISS Stage or FISH abnormalities. In ITT analysis (MRD missing [31/395 VGPR pts, 8%] and <VGPR were considered as MRD positive), MRD negativity was again similar with KRd-ASCT-KRd (58%) and KRd12 (54%) and significantly higher than with KCd-ASCT-KCd (41%; P value KRd-ASCT-KRd vs KCd-ASCT-KCd=0.004; P value KRd12 vs KCd-ASCT-KCd=0.023); 82% vs 78% vs 88% of pts in the 3 groups, respectively, could maintain extended MRD negative status with 2 MRD negative results obtained apart ≥6 months (either pre-ASCT and post consolidation or post consolidation and during maintenance). During treatment (excluding ASCT) the most frequent grade 3-4 AEs were neutropenia (KRd-ASCT-KRd 20%, KRd12 10%, KCd-ASCT-KCd 16%), thrombocytopenia (KRd-ASCT-KRd 15%, KRd12 8%, KCd-ASCT-KCd 13%) and infections (KRd-ASCT-KRd 14%, KRd12 12%, KCd-ASCT-KCd 13%). Grade 3-4 dermatologic AEs (KRd-ASCT-KRd, 5% with KRd12 12%, KCd-ASCT-KCd 1%), increase in liver enzymes (KRd-ASCT-KRd 9%, KRd12 10%, KCd-ASCT-KCd 1%) and hypertension (KRd-ASCT-KRd 3%, KRd12 8%, KCd-ASCT-KCd 3%) were more frequent with KRd12. Rates of grade 3-4 cardiac AEs (KRd-ASCT-KRd 3%, KRd12 2%, KCd-ASCT-KCd 4%) and thrombosis (KRd-ASCT-KRd 1%, KRd12 2%, KCd-ASCT-KCd 2%) were below 5% in all arms. Discontinuation for AEs was similar in the 3 arms (KRd-ASCT-KRd 6%, KRd12 8%, KCd-ASCT-KCd 7%). Conclusions: Rates of MRD negativity, sCR, ≥CR, ≥VGPR were significantly higher with KRd-ASCT-KRd and KRd12 vs KCd. At present, no differences in MRD and overall best response (sCR, ≥CR, ≥VGPR) were noticed between KRd-ASCT-KRd and KRd12; longer follow-up is needed to evaluate survival. Treatment was well tolerated. Updated data will be presented at the meeting. Figure. Figure. Disclosures Gay: Roche: Other: Advisory Board; Seattle Genetics: Other: Advisory Board; Bristol-Myers Squibb: Honoraria; Janssen: Honoraria; Celgene: Honoraria, Other: Advisory Board; Amgen: Honoraria; Takeda: Honoraria, Other: Advisory Board. Galli:Sigma-Tau: Honoraria; Janssen: Honoraria; Celgene: Honoraria; Bristol-Myers Squibb: Honoraria. Belotti:Celgene: Other: Advisory Board; Amgen: Other: Advisory Board. Zamagni:BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Angelucci:Novartis: Honoraria, Other: Chair Steering Committee TELESTO protocol in MDS; Celgene: Honoraria, Other: Chair DMC proptocol BELIEVE 1 and BELIVE 2 in Thalassemia; Vertex Pharmaceuticals Incorporated (MA) and CRISPR Therapeutics AG (CH): Other: Chair DMC CRISPR CAS9 in Hemoglobinopathies; Jazz Pharmaceuticals Italy: Other: Local (national) advisory board on AML; Roche Italia: Other: Local (national) advisory board on biosimilars. Annibali:Celgene; Takeda; Amgen, Janssen Cilag: Honoraria. Offidani:Amgen: Honoraria, Other: Advisory Board; Takeda: Honoraria, Other: Advisory Board; Janssen: Honoraria, Other: Advisory Board; Celgene: Honoraria, Other: Advisory Board; Bristol-Myers Squibb: Honoraria, Other: Advisory Board. Palumbo:Takeda: Employment. Musto:Amgen: Honoraria; BMS: Honoraria; Takeda: Honoraria; Janssen: Honoraria; Celgene: Honoraria. Cavo:GlaxoSmithKline: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Boccadoro:Bristol-Myers Squibb: Honoraria, Research Funding; Mundipharma: Research Funding; Sanofi: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; AbbVie: Honoraria.

PURPOSE High levels of circulating tumor plasma cells (CTC-high) in patients with multiple myeloma are a marker of aggressive disease. We aimed to confirm the prognostic impact and identify a possible cutoff value of CTC-high for the prediction of progression-free survival (PFS) and overall survival (OS), in the context of concomitant risk features and minimal residual disease (MRD) achievement. METHODS CTC were analyzed at diagnosis with two-tube single-platform flow cytometry (sensitivity 4 × 10–5) in patients enrolled in the multicenter randomized FORTE clinical trial (ClinicalTrials.gov identifier: NCT02203643 ). MRD was assessed by second-generation multiparameter flow cytometry (sensitivity 10–5). We tested different cutoff values in series of multivariate (MV) Cox proportional hazards regression analyses on PFS outcome and selected the value that maximized the Harrell's C-statistic. We analyzed the impact of CTC on PFS and OS in a MV analysis including baseline features and MRD negativity. RESULTS CTC analysis was performed in 401 patients; the median follow-up was 50 months (interquartile range, 45-54 months). There was a modest correlation between the percentage of CTC and bone marrow plasma cells ( r = 0.38). We identified an optimal CTC cutoff of 0.07% (approximately 5 cells/µL, C-index 0.64). In MV analysis, CTC-high versus CTC-low patients had significantly shorter PFS (hazard ratio, 2.61; 95% CI, 1.49 to 2.97, P < .001; 4-year PFS 38% v 69%) and OS (hazard ratio, 2.61; 95% CI, 1.49 to 4.56; P < .001; 4-year OS 68% v 92%). The CTC levels, but not the bone marrow plasma cell levels, affected the outcome. The only factor that reduced the negative impact of CTC-high was the achievement of MRD negativity (interaction P = .039). CONCLUSION In multiple myeloma, increasing levels of CTC above an optimal cutoff represent an easy-to-assess, robust, and independent high-risk factor. The achievement of MRD negativity is the most important factor that modulates their negative prognostic impact.

Background. Proteasome inhibitor (PI)-based induction/consolidation proved to be effective in newly diagnosed multiple myeloma (NDMM) patients (pts) eligible for melphalan 200 mg/m2 plus autologous stem-cell transplantation (MEL200-ASCT). High response rates have been reported with carfilzomib (K) plus lenalidomide-dexamethasone (KRd) or cyclophosphamide-dexamethasone (KCd). Lenalidomide (R) alone is a standard of care for post-ASCT maintenance; K maintenance showed promising results in phase I/II studies, but no data on KR maintenance vs R are available. Aims. The aims of this analysis were to evaluate the progression-free survival (PFS) of KRd induction-ASCT-KRd consolidation (KRd_ASCT) vs 12 cycles of KRd (KRd12) vs KCd induction-ASCT-KCd consolidation (KCd_ASCT) and the PFS of KR vs R maintenance. Secondary aims were efficacy in different subgroups of pts and safety of the maintenance phase. Methods. NDMM pts ≤65 years were randomized [R1: 1:1:1, stratification International Staging System (ISS) and age] to: KRd_ASCT: 4 28-day cycles with KRd induction (K 20/36 mg/m2 IV days 1,2,8,9,15,16; R 25 mg days 1-21; dexamethasone [d] 20 mg days 1,2,8,9,15,16) followed by MEL200-ASCT and 4 KRd consolidation cycles; KRd12: 12 KRd cycles; KCd_ASCT: 4 28-day induction cycles with KCd (K 20/36 mg/m2 IV days 1,2,8,9,15,16; cyclophosphamide 300 mg/m2 days 1,8,15; d 20 mg days 1,2,8,9,15,16) followed by MEL200-ASCT and 4 KCd consolidation cycles. Thereafter, pts were randomized (R2) to maintenance with KR (K 36 mg/m2 days 1,2,15,16, subsequently amended to 70 mg/m2 days 1,15 for up to 2 years; plus R 10 mg days 1-21 every 28 days until progression) or R alone (10 mg days 1-21 every 28 days until progression). Centralized minimal residual disease (MRD) evaluation (8-color second-generation flow cytometry, sensitivity 10-5) was performed in pts achieving ≥very good partial response before maintenance and every 6 months (m) during maintenance. Data cut-off was June 30, 2020. Results. 474 NDMM pts were randomized (KRd_ASCT, n=158; KRd12, n=157; KCd_ASCT, n=159) and analyzed. Pt characteristics were well balanced. Intention-to-treat (ITT) data of pre-maintenance MRD (KRd_ASCT, 62%; KRd12 56%, KCd_ASCT 43%) and safety of the induction/consolidation phases in the 3 arms were already reported (F. Gay et al. ASH 2018; S. Oliva et al. ASH 2019). After a median follow-up from R1 of 45 m, median PFS was not reached with KRd_ASCT, 57 m with KRd12 and 53 m with KCd_ASCT (KRd_ASCT vs KCd_ASCT: HR 0.53, P&lt;0.001; KRd_ASCT vs KRd12: HR 0.64, P=0.023; KRd12 vs KCd_ASCT: HR 0.82, P=0.262). The benefit of KRd_ASCT vs both KCd_ASCT and KRd12 was observed in most subgroups (Figure). 3-year overall survival (OS) was 90% with KRd_ASCT and KRd12 vs 83% with KCd. 356 pts (KR, n=178; R, n=178) were randomized to maintenance; pt characteristics, pre-maintenance response (≥complete response [CR]: KR 62% vs R 59%; stringent CR: KR 50% vs R 48%) including MRD negativity (KR 65% vs R 66%) in the 2 groups were well balanced. After a median follow-up from R2 of 31 m and a median duration of maintenance of 27 m in both arms, 46% of MRD-positive pts at randomization turned negative in KR vs 32% in R (P=0.04). By ITT analysis, 3-year PFS from R2 was 75% with KR vs 66% with R (HR 0.63; P=0.026). The benefit of KR vs R was observed in most subgroups (Figure). 3-year OS was 90% in both arms. During maintenance, a similar proportion of pts experienced ≥1 grade (G)3-4 hematologic adverse events (AEs)/serious AEs (SAEs) in the 2 arms (KR 22% vs R 23%); the most frequent were neutropenia (KR 18% vs R 21%) and thrombocytopenia (KR 3% vs R 3%). Rate of ≥1 G3-4 non-hematologic AEs/SAEs was higher with KR (27%) compared with R (15%), P=0.012; the most frequent were infections (KR 4% vs R 7%); all other events were reported in ≤5% of pts and included: gastrointestinal (KR 5% vs R 2%), cardiac (KR 4% vs R 1%), hypertension (KR 3% vs R 0%), and thrombotic microangiopathy (3% vs 0%). 4 pts developed a second primary malignancy in KR (breast 1 pt; thyroid 1 pt; myelodysplastic syndrome 1 pt; non-melanoma skin cancer 1pt) vs 1 pt in R (acute lymphoblastic leukemia). Dose reductions of R were reported in 23% of KR and 29% of R pts; dose reductions of K were reported in 20% of pts. The rate of discontinuation due to AEs was similar in the 2 arms (KR 10% vs R 9%). Conclusions. Treatment with KRd_ASCT significantly improved PFS compared with both KRd12 and KCd_ASCT. Maintenance with KR also improved PFS vs R. Figure Disclosures Gay: Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees; Adaptive: Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees. Musto:Celgene: Honoraria; Amgen: Honoraria. Galli:BMS: Honoraria; Celgene: Honoraria; Janssen: Honoraria; Takeda: Honoraria. Belotti:Jannsen: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Zamagni:Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses, Speakers Bureau; Celgene Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Honoraria, Other: Travel, Accommodations, Expenses, Speakers Bureau; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses, Speakers Bureau; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses, Speakers Bureau. Zambello:Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. De Sabbata:Celgene: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees. D'Agostino:GSK: Membership on an entity's Board of Directors or advisory committees. Liberati:VERASTEM: Honoraria, Research Funding; ROCHE: Honoraria, Research Funding; PFIZER: Honoraria, Research Funding; ONCOPEPTIDES AB: Honoraria, Research Funding; TAKEDA: Honoraria, Research Funding; MORPHOSYS: Honoraria, Research Funding; ONCONOVA: Honoraria, Research Funding; ABBVIE: Honoraria, Research Funding; NOVARTIS: Honoraria, Research Funding; KARYOPHARM: Honoraria, Research Funding; INCYTE: Honoraria; JANSSEN: Honoraria; CELGENE: Honoraria; AMGEN: Honoraria; BMS: Honoraria; BEIGENE: Honoraria; ARCHIGEN: Honoraria; BIOPHARMA: Honoraria; FIBROGEN: Honoraria. Offidani:Janssen: Consultancy, Honoraria; BMS: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Cavo:AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: Honoraria, Speakers Bureau; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel accomodations, Speakers Bureau; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Karyopharm: Honoraria; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel accomodations, Speakers Bureau. Boccadoro:AbbVie: Honoraria; Bristol-Myers Squibb: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Research Funding; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees; Mundipharma: Research Funding; Amgen: Honoraria, Research Funding; Sanofi: Honoraria, Research Funding. OffLabel Disclosure: The presentation includes discussion of off-label use of a drug or drugs for the treatment of multiple myeloma (including carfilzomib, cyclophosphamide, lenalidomide and dexamethasone).

Multiple myeloma, the second most common hematologic malignancy, frequently relapses because of chemotherapeutic resistance. Fibroblast growth factors (FGF) act as proangiogenic and mitogenic cytokines in multiple myeloma. Here, we demonstrate that the autocrine FGF/FGFR axis is essential for multiple myeloma cell survival and progression by protecting multiple myeloma cells from oxidative stress-induced apoptosis. In keeping with the hypothesis that the intracellular redox status can be a target for cancer therapy, FGF/FGFR blockade by FGF trapping or tyrosine kinase inhibitor impaired the growth and dissemination of multiple myeloma cells by inducing mitochondrial oxidative stress, DNA damage, and apoptotic cell death that were prevented by the antioxidant vitamin E or mitochondrial catalase overexpression. In addition, mitochondrial oxidative stress occurred as a consequence of proteasomal degradation of the c-Myc oncoprotein that led to glutathione depletion. Accordingly, expression of a proteasomenondegradable c-Myc protein mutant was sufficient to avoid glutathione depletion and rescue the proapoptotic effects due to FGF blockade. These findings were confirmed on bortezomib-resistant multiple myeloma cells as well as on bone marrow-derived primary multiple myeloma cells from newly diagnosed and relapsed/refractory patients, including plasma cells bearing the t(4;14) translocation obtained from patients with high-risk multiple myeloma. Altogether, these findings dissect the mechanism by which the FGF/FGFR system plays a nonredundant role in multiple myeloma cell survival and disease progression, and indicate that FGF targeting may represent a therapeutic approach for patients with multiple myeloma with poor prognosis and advanced disease stage.