ALBERT

Description: Introduction : Glofitamab (RG6026) is a novel T-cell-engaging, bispecific, full-length antibody with a 2:1 molecular configuration that facilitates bivalent binding to CD20 on B-cells, and monovalent binding to CD3 on T-cells. Preclinically, glofitamab had superior potency compared with other tested bispecifics with 1:1 formats (Bacac, et al. Clin Cancer Res 2018). NP30179 (NCT03075696) is an ongoing multicenter, Phase I/Ib, dose-escalation and dose-expansion trial evaluating the safety, tolerability, pharmacokinetics, biomarker responses, and efficacy of glofitamab in patients (pts) with relapsed or refractory (R/R) non-Hodgkin lymphoma (NHL). Clinical data from NP30179 demonstrated that fixed dosing of glofitamab (0.6-25mg) induced high and durable complete responses with a manageable safety profile in pts with heavily pre-treated R/R NHL (Dickinson, et al. EHA 2020). Obinutuzumab pretreatment (Gpt) was shown to be effective in mitigating the risk of cytokine release syndrome (CRS), allowing for rapid escalation of glofitamab to clinically active doses (Dickinson, et al. EHA 2020). Step-up dosing of glofitamab was used in addition to Gpt to further reduce the risk of CRS. For the first time, we present clinical data of glofitamab step-up dosing with Gpt in pts with R/R NHL. Methods: Pts received 1000mg obinutuzumab 7 days prior to first glofitamab administration. Glofitamab was given intravenously with step-up dosing on Cycle (C) 1 Day (D) 1 and 8 and then at the target dose from C2D1, every 3 weeks for up to 12 cycles (2.5/10/16mg or 2.5/10/30mg). Response rates reported are based on the Lugano criteria (Cheson, et al. J Clin Oncol 2014). Results: As of April 17, 2020, 38 pts received step-up doses of glofitamab; 17 pts received 2.5/10/16mg, and 21 pts received 2.5/10/30mg. Twenty-eight pts (73.7%) had aggressive NHL (aNHL) histologies and ten pts had indolent NHL (iNHL; Table). The median age was 68 years (range 52-85) and median number of prior lines of therapy was 3 (range 1-12). Twenty-seven (71.1%) pts were refractory to their last therapy, and 28 (73.7%) pts were refractory to prior CD20 therapy. After a median follow-up of 2.8 months, across all efficacy-evaluable pts (n=32) the overall response rate (ORR) and complete metabolic response (CMR) rate was 62.5% and 40.6%, respectively. For pts with aNHL (n=24), the ORR was 50.0% with CMR rates of 29.2%. As of the data cut-off date, 17 pts with aNHL (70.8%) had reached the first response assessment only (C3) and remain on treatment; four pts (16.7%) had reached the second response assessment (C6). For pts with iNHL (n=8), the ORR was 100.0% with 75.0% of pts achieving CMR. Across the safety-evaluable population (n=38), the most common AEs were CRS (57.9%), pyrexia (31.6%), neutropenia, thrombocytopenia and hypophosphatemia (28.9% each). No AEs led to treatment discontinuation. Of 22 patients who experienced CRS events, the CRS events only occurred in C1 and C2; 15 had CRS after the 2.5mg dose, 12 after the 10mg dose, and 5 during C2 (16 or 30mg dose; Figure). Eight pts (21.1%) and 13 pts (34.2%) experienced Grade (Gr) 1 and 2 CRS, respectively; none experienced Gr 3 CRS. One pt (2.6%) experienced Gr 4 CRS after the 30mg dose. No CRS events occurred after C2. Tocilizumab was used to manage CRS in six (15.8%) pts: n=2 for 2.5/10/16mg and n=4 for 2.5/10/30mg cohorts. CRS events were manageable and resolved for 21 pts (95.4%) at data cut-off. No Gr ≥3 neurologic adverse events were reported. Consistent with prior biomarker data from fixed-dose regimens (Bröske, et al. EHA 2020), glofitamab administered with step-up dosing induced a transient T-cell redistribution. Conclusions: Step-up dosing of glofitamab allowed escalation up to 30mg to maximize efficacy, while minimizing the risk of increased CRS. High ORR and CMR rates were observed in pts with NHL who had failed several lines of treatment. Toxicity was manageable with the main safety signal being low-grade CRS observed in early cycles. Updated results will be presented at the congress which will include data from at least 50 pts receiving glofitamab step-up dosing with Gpt. Disclosures Hutchings: Genmab, F. Hoffmann-La Roche, Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene, Genmab, Janssen, Novartis, F. Hoffmann-La Roche, Takeda: Research Funding. Carlo-Stella:Servier, Novartis, Genenta Science srl, ADC Therapeutics, F. Hoffmann-La Roche, Karyopharm, Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; ADC Therapeutics and Rhizen Pharmaceuticals: Research Funding; Bristol-Myers Squibb, Merck Sharp & Dohme, Janssen Oncology, AstraZeneca: Honoraria; Boehringer Ingelheim and Sanofi: Consultancy. Bachy:Roche, Gilead: Consultancy; Amgen: Research Funding; Roche, Celgene, Amgen, Janssen, Gilead, Novartis, Sanofi: Honoraria; Beigene: Membership on an entity's Board of Directors or advisory committees. Morschhauser:F. Hoffmann-La Roche: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Epizyme: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Abbvie: Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria; Servier: Consultancy; Genentech, Inc.: Consultancy. Crump:Kite/Gilead: Consultancy; Roche: Consultancy; Servier: Consultancy. Iacoboni:Novartis, Gilead, Celgene, Roche: Honoraria. Sureda Balari:BMS: Speakers Bureau; Roche: Honoraria; Janssen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria, Speakers Bureau; Incyte: Consultancy; Gilead/Kite: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Merck Sharpe and Dohme: Consultancy, Honoraria, Speakers Bureau; Celgene: Consultancy, Honoraria; Celgene/Bristol-Myers Squibb: Consultancy, Honoraria. Martinez-Lopez:Novartis: Consultancy; Janssen: Consultancy, Honoraria; BMS: Consultancy, Research Funding; Incyte: Consultancy, Research Funding; Janssen-cilag: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Lundberg:F. Hoffmann-La Roche: Current Employment, Current equity holder in publicly-traded company. Dixon:Roche Products Limited: Current Employment; F. Hoffmann-La Roche: Current equity holder in publicly-traded company, Divested equity in a private or publicly-traded company in the past 24 months. Perez Callejo:F. Hoffmann-La Roche: Current Employment, Current equity holder in publicly-traded company. Relf:Roche Products Ltd: Current Employment. Carlile:AstraZeneca: Current equity holder in publicly-traded company, Ended employment in the past 24 months; F. Hoffmann-La Roche: Current Employment, Current equity holder in publicly-traded company. Piccione:Genentech, Inc.: Current Employment; F. Hoffmann-La Roche: Current equity holder in publicly-traded company. Humphrey:F. Hoffmann-La Roche: Current Employment, Current equity holder in private company, Current equity holder in publicly-traded company. Dickinson:Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Gilead: Consultancy, Honoraria, Research Funding, Speakers Bureau; Merck Sharp & Dohme: Consultancy. OffLabel Disclosure: Glofitamab (RG6026; CD20-TCB) is a full-length, fully humanized immunoglobulin G1 (IgG1) bispecific antibody with a 2:1 molecular format that facilitates bivalent binding to CD20 on B-cells, and monovalent binding to CD3 on T-cells. Glofitamab redirects T cells to engage and eliminate malignant B cells. Glofitamab is an investigational agent.

Description: Diffuse large B-cell lymphoma (DLBCL) is an aggressive and heterogeneous disease with variable prognosis associated with clinical features, cell-of-origin and genetic aberrations. The main problems for DLBCL patients are that a substantial percentage of them (30-40%) are refractory to treatment or relapse and the lack of accurate predictive markers that adequately determine which patients will benefit from immunochemotherapy. Several recent deep-sequencing studies have proposed new genetic subtypes based on the DLBCL genomic profile (Wright et al., 2020; Lacy et al. 2020) and associated with clinical outcome. However, a consensus and validated classification is still needed. The aim was to determine whether genetic alterations of individual genes or genes clustered in pathways are associated with clinical outcome in immunochemotherapy-treated patients. We used targeted massive sequencing to analyze 84 diagnostic samples from a multicentric cohort of patients with DLBCL treated with rituximab-containing therapies with a median follow up of 6 years. A two-step genetic classifier was built with mutation information from 27 genes and BCL2/BCL6 translocations, based on recently proposed genetic subtypes (Wright et al., 2020; Lacy et al. 2020). Logistic regression and Kaplan-Meier analyses for survival and risk of relapse were performed to assess the potential clinical value of the classifier. Moreover, this two-step classifier was validated in an external cohort and its specificity and sensitivity were tested to determine its accuracy in classifying patients compared to the previous approaches. We found that the most frequently mutated genes were IGLL5 (43%), KMT2D (33.3%), CREBBP (28.6%), PIM1 (26.2%), and CARD11 (22.6%). Mutations in CD79B, PRDM1, and NOTCH2 were associated with a higher risk of relapse after treatment, whereas patients with mutations in CD79B, ETS1, PRDM1, and TNFAIP3 had significantly shorter survival. Analyzing the impact of gene mutations on predefined gene sets related to lymphomagenesis revealed that mutations in genes involved in B-cell development, and BCR-PI3K and MAPK-ERK pathways were significantly associated with a higher risk of relapse and/or shorter overall survival. These results confirmed the current landscape of genetic alterations in DLBCL. According to the two-step classifier, we categorized the samples into MCD, BN2, EZB, ST2, and N1 genetic subgroups (Figure). We tested the accuracy of our classification in an external series (UK population-based Haematological Malignancy Research Network cohort [HMRN]) to determine its specificity and sensitivity compared with their own classification (Lacy et al. 2020) and the LymphGen algorithm (Wright et al., 2020). The comparison demonstrated (Wright et al., 2020; Lacy et al. 2020), a specificity and sensitivity higher than 85% for each subtype, except for BN2. This controversy may be explained by the fact that BN2 is less strongly defined than the other subtypes. We then tested their clinical impact and found the EZB and ST2 subtypes to have a better clinical course and a lower risk of relapse. The BN2 group had the worst clinical outcome of our series, unlike other published studies (Figure). These results were validated in the HMRN cohort, in which N1 showed a higher risk of relapse and shorter overall survival, whereas ST2 is the group with the most favorable outcome. Although N1 was not included for clinical outcome analysis in our cohort due to the small number of cases, the validation of our classifier defined N1 as the most aggressive subtype. In summary, we propose and validate a feasible genetic DLBCL classifier based on an optimized panel of genes that unifies previous genetic classification algorithms in such a way as to facilitate its implementation as part of pathology laboratories for routine patient management. This genetic classifier, combined with clinical data and other molecular characteristics, should eventually help develop improved risk models for DLBCL patients, and guide precision therapy. Figure Disclosures Perez Callejo: F. Hoffmann-La Roche: Current Employment, Current equity holder in publicly-traded company.