Citations

AbstractClear‐cell renal cell carcinoma (ccRCC) presents challenges to clinical management because of late‐stage detection, treatment resistance, and frequent disease recurrence. Metabolically, ccRCC has a well‐described Warburg effect utilization of glucose, but how this affects complex carbohydrate synthesis and alterations to protein and cell surface glycosylation is poorly defined. Using an imaging mass spectrometry approach, N‐glycosylation patterns and compositional differences were assessed between tumor and nontumor regions of formalin‐fixed clinical ccRCC specimens and tissue microarrays. Regions of normal kidney tissue samples were also evaluated for N‐linked glycan‐based distinctions between cortex, medullar, glomeruli, and proximal tubule features. Most notable was the proximal tubule localized detection of abundant multiantennary N‐glycans with bisecting N‐acetylglucosamine and multziple fucose residues. These glycans are absent in ccRCC tissues, while multiple tumor‐specific N‐glycans were detected with tri‐ and tetra‐antennary structures and varying levels of fucosylation and sialylation. A polycystic kidney disease tissue was also characterized for N‐glycan composition, with specific nonfucosylated glycans detected in the cyst fluid regions. Complementary to the imaging mass spectrometry analyses was an assessment of transcriptomic gene array data focused on the fucosyltransferase gene family and other glycosyltransferase genes. The transcript levels of the FUT3 and FUT6 genes responsible for the enzymes that add fucose to N‐glycan antennae were significantly decreased in all ccRCC tissues relative to matching nontumor tissues. These striking differences in glycosylation associated with ccRCC could lead to new mechanistic insight into the glycobiology underpinning kidney malignancies and suggest the potential for new therapeutic interventions and diagnostic markers.

TGF-β–dependent metabolic dysregulation contributes to lung fibrosis.

Abstract Transforming growth factor‐beta (TGFβ) is an enigmatic protein with various roles in healthy tissue homeostasis/development as well as the development or progression of cancer, wound healing, fibrotic disorders, and immune modulation, to name a few. As TGFβ is causal to various fibroproliferative disorders featuring localized or systemic tissue/organ fibrosis as well as the activated stroma observed in various malignancies, characterizing the pathways and players mediating its action is fundamental. In the current study, we found that TGFβ induces the expression of the immunoinhibitory molecule Programed death‐ligand 1 (PD‐L1) in human and murine fibroblasts in a Smad2/3‐ and YAP/TAZ‐dependent manner. Furthermore, PD‐L1 knockdown decreased the TGFβ‐dependent induction of extracellular matrix proteins, including collagen Iα1 (colIα1) and alpha‐smooth muscle actin (α‐SMA), and cell migration/wound healing. In addition to an endogenous role for PD‐L1 in profibrotic TGFβ signaling, TGFβ stimulated‐human lung fibroblast‐derived PD‐L1 into extracellular vesicles (EVs) capable of inhibiting T cell proliferation in response to T cell receptor stimulation and mediating fibroblast cell migration. These findings provide new insights and potential targets for a variety of fibrotic and malignant diseases.

Aims We sought to investigate the association of obesity and metabolic health status with the incidence of clinical hypertrophic cardiomyopathy (HCM) diagnosis in the general population. Our goal was to identify modifiable risk factors to attenuate clinical expression of HCM, enabling management evolution from a mostly passive strategy of risk stratification to a proactive strategy of modifying disease expression. Methods Using nationwide population-based data from the Korean National Health Insurance Service, 28,679,891 people who were free of prevalent HCM and who underwent health examinations between 2009 and 2015 were followed until 31 December 2016. The primary outcome was clinical HCM that was defined as incident diagnosis of HCM during the follow-up, after a blanking period of 12 months. Results Over a median follow-up of 5.2 years, 0.027% (n = 7851) of the study participants were diagnosed as incident HCM. The incidence rate per 1000 person-years was 0.059. A significant association was found between body mass index (BMI) and the incidence of clinical HCM after multivariate adjustment, with a hazard ratio per 1 kg/m2 increase in BMI of 1.063 (95% confidence interval 1.051–1.075). Metabolically unhealthy participants had a greater incidence of HCM than metabolically healthy participants, regardless of obesity status. The effect of BMI was more pronounced in several subgroups, including participants with no hypertension, those aged less than 65 years and men. Conclusion We found that individuals with obesity and/or metabolic abnormalities had a significantly higher incidence of clinical HCM diagnosis than their counterparts. Efforts to manage obesity and metabolic abnormalities may be important in modifying clinical expression of HCM.

Abstract Background: As of 2013, approximately 558,340 people are living with non-Hodgkin lymphoma (NHL). Outcome disparities have been reported in lymphoid malignancies but a comprehensive analysis, especially with expanding ethnic minorities is necessary. We undertook a large Surveillance Epidemiology and End Results (SEER) based analysis to describe outcome disparities in different subgroups of T-cell and B-cell NHL patients (pts), with a focus on various ethnicities. Methods: The SEER 18 Registry data (1973-2011) was utilized for pts with a confirmed diagnosis of T-cell or B-cell NHL. Cases that received a diagnosis at death certificate or autopsy, no follow-up records, no documented age at diagnosis, sex, or race/ethnicity were excluded. Cox proportional hazards models, adjusted for gender, age, race, year (yr) of diagnosis, and stratified by SEER registries were used to evaluate association between pt characteristics and survival. All statistical tests were two-sided and utilized the SAS software (v9.4) with a two-sided significance level of 0.05. Results: The final analysis included 7,662 pts with T-cell NHL and 84,910 pts with B-cell NHL. The pt demographics are shown in Table 1. Pts were stratified based on yr of diagnosis to study the impact of therapeutic developments on pt outcomes (Table 1). Pts were also divided by T-cell NHL subtype: mature T-cell (9702/3) 51%, angioimmunoblastic T-cell (9705/3) 16%, anaplastic large cell (ALCL) (9714/3) 32%, and hepatosplenic gamma-delta cell (HSϒd) (9716/3) 0.8%. Median age at diagnosis was youngest for AA pts (54 yrs) and oldest for Asian pts (65 yrs) (Figure 1 A). Survival analysis revealed that females had a better median OS than males (3.3 yrs vs. 2.3 yrs, HR 0.876; 95% CI 0.824, 0.932; p<0.001). Increasing age was an independent predictor of worse overall survival, with pts age 18-44 having a median OS 9.4 yrs (HR 0.345; 95% CI 0.312, 0.382) and pts age ≥75 having a median OS of 1.0 yr (p<0.001). There was no statistically significant difference seen in median OS for pts with respect to yr of diagnosis (p=0.081). Among the different T-cell NHL subtypes, pts with ALCL had the best (3.8 yrs, HR 0.766; 95% CI 0.714, 0.822) and pts with HSϒd had the worst median OS (0.7 yrs HR 1.959; 95% CI 1.424, 2.695) (p<0.001). AA pts (1.7 yrs, HR 1.292; 95% CI 1.176, 1.419) and Hispanic pts (1.9 yrs, HR 1.215; 95% CI 1.087, 1.357) had significantly worse OS compared to White pts who had the longest median OS (3.1 yrs) (p<0.001) (Figure 1 B). To compare and contrast with aggressive B-cell NHL, similar analyses were performed using diffuse large B-cell (DLBCL) NHL (9680/3). DLBCL showed similar trends regarding sex, age and race. Ethnic minorities had significantly worse median OS including Hispanic (2.8 yrs, HR 1.154; 95% CI 1.111, 1.198) and AA pts (3.3 yrs, HR 1.261; 95% CI 1.212, 1.312) compared to White pts with a median OS of 5.8 yrs (p<0.001). B-cell NHL pts had a significant improvement in median OS over time with pts diagnosed in 2007-2011 having more than 3 times the median OS of pts diagnosed in 1973-1991 (7 yrs vs. 2.4 yrs; p<0.001). Conclusions: Studies of outcome disparities are important for evaluating disease characteristics and their relationship to specific pt populations over time. We have performed the largest population-based analysis for T-cell and B-cell NHL including various ethnicities in the novel therapeutic agent era. We observed that males, older pts and ethnic minorities had worse median OS for both T-cell and B-cell NHL. Despite novel therapeutics targeting T cells there has been no statistically significant improvement in OS over time. In contrast, significant improvement in B-cell NHL OS has been noted, presumably due to the advent of monoclonal antibodies. These results underline the urgency for the development of novel therapeutics as well as aggressive studies of disease biology and healthcare utilization for better triage of healthcare resources, especially for ethnic minorities. Table 1. Table 1. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

Background: The DIAL study is testing the efficacy of dual immunomodulation in patients with advanced aggressive B cell non-Hodgkin lymphoma (B-NHL). Sponsored by the Cancer Therapy Evaluation Program (CTEP), the trial combines the use of a programmed cell death protein 1 (PD-1) inhibitor (nivolumab) with an agonist of the CD27 receptor (varlilumab) in a randomized phase 2 design. CD27, a co-stimulatory receptor, regulates T cell activation in the context of T cell receptor (TCR) engagement through interaction with CD70. T cell exhaustion plays a major role in immune evasion in B-NHL. Varlilumab is an agonistic IgG1 monoclonal antibody that recognizes CD27 leading to prevention or reversal of exhaustion in pre-clinical models. Varlilumab also demonstrates direct anti-tumoral activity in xenograft models of human lymphoma cell lines via antibody-dependent cell-mediated cytotoxicity. Phase 1 data supports the safety and tolerability of single-agent varlilumab in advanced hematologic malignancies (NCT01460134). We hypothesize that CD27 activation synergizes with PD-1 inhibition resulting in a superior anti-lymphoma effect compared to PD-1 blockade alone. The study will also evaluate the effect of these agents on tumor and immune cells using immunohistochemistry (IHC), mass cytometry (CyTOF), multiplex ELISA, imaging mass cytometry (IMC), and whole exome sequencing. Methods: The trial is enrolling patients with advanced aggressive B-NHL. Standard inclusion criteria and prior treatment with at least 2 lines of standard therapy are required. Prior autologous stem cell transplant and/or chimeric antigen receptor (CAR) T cell therapy is allowed. Patients with active CNS disease are excluded. Eligible patients are randomized to treatment with single-agent nivolumab (group 1) or dual immunotherapy with nivolumab and varlilumab. Group 1 is allowed to cross-over at the time of progression. Nivolumab will be administered intravenously (IV) every 2 weeks (240 mg) for 4 months followed by monthly dosing thereafter (480 mg). Varlilumab will be given IV every 4 weeks (3 mg/kg). Response assessment will be done by PET-CT scan every 12 weeks. Primary outcome is overall response rate (ORR) according to the LYRIC criteria. The trial will enroll 48 patients per arm, allowing 80% power to detect at least 20% increase in ORR in the experimental arm (group 2) assuming a 25% ORR in the control arm (group 1). The trial is registered (NCT03038672) and open to participation to members of the Experimental Therapeutics Clinical Trials Network (ETCTN) and Early Drug Development Opportunity Program (EDDOP). Figure Disclosures Tun: BMS: Research Funding; Celgene: Research Funding; Curis: Research Funding; TG Therapeutics: Research Funding; Mundi-pharma: Research Funding; DTRM Biopharma: Research Funding. Bartlett:Pharmacyclics: Research Funding; Merck: Research Funding; Incyte: Research Funding; ADC Therapeutics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Research Funding; Millennium: Research Funding; Kite Pharma: Research Funding; Janssen: Research Funding; Immune Design: Research Funding; Affimed: Research Funding; Autolus: Research Funding; Bristol-Myers Squibb: Research Funding; Celgene: Research Funding; Forty Seven: Research Funding; Genentech, Inc.: Research Funding; Gilead: Research Funding. Kline:Merck: Honoraria; Merck: Research Funding. Awan:Janssen: Consultancy; Gilead: Consultancy; Sunesis: Consultancy; Genentech: Consultancy; Abbvie: Consultancy, Speakers Bureau; Pharmacyclics: Consultancy, Research Funding; AstraZeneca: Consultancy, Speakers Bureau. Lazaryan:Kadmon: Consultancy. Ansell:Affimed: Research Funding; Affimed: Research Funding; Bristol-Myers Squibb: Research Funding; Mayo Clinic Rochester: Employment; Affimed: Research Funding; Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding; Affimed: Research Funding; Affimed: Research Funding; Affimed: Research Funding; LAM Therapeutics: Research Funding; Mayo Clinic Rochester: Employment; LAM Therapeutics: Research Funding; LAM Therapeutics: Research Funding; Seattle Genetics: Research Funding; LAM Therapeutics: Research Funding; Affimed: Research Funding; Bristol-Myers Squibb: Research Funding; LAM Therapeutics: Research Funding; Trillium: Research Funding; Regeneron: Research Funding; Regeneron: Research Funding; Regeneron: Research Funding; Regeneron: Research Funding; Bristol-Myers Squibb: Research Funding; Mayo Clinic Rochester: Employment; Seattle Genetics: Research Funding; Seattle Genetics: Research Funding; Regeneron: Research Funding; Seattle Genetics: Research Funding; LAM Therapeutics: Research Funding; Seattle Genetics: Research Funding; Affimed: Research Funding; Trillium: Research Funding; Trillium: Research Funding; LAM Therapeutics: Research Funding; Trillium: Research Funding; Trillium: Research Funding; Seattle Genetics: Research Funding; Mayo Clinic Rochester: Employment; Regeneron: Research Funding; Mayo Clinic Rochester: Employment; Regeneron: Research Funding; Bristol-Myers Squibb: Research Funding; Mayo Clinic Rochester: Employment; Mayo Clinic Rochester: Employment; Trillium: Research Funding; Seattle Genetics: Research Funding; Seattle Genetics: Research Funding; Mayo Clinic Rochester: Employment; Trillium: Research Funding; Mayo Clinic Rochester: Employment; LAM Therapeutics: Research Funding; Trillium: Research Funding; Seattle Genetics: Research Funding; Bristol-Myers Squibb: Research Funding; Affimed: Research Funding; Bristol-Myers Squibb: Research Funding; Regeneron: Research Funding; Bristol-Myers Squibb: Research Funding; LAM Therapeutics: Research Funding; Regeneron: Research Funding; Trillium: Research Funding. Diefenbach:Bristol-Myers Squibb: Consultancy, Research Funding; Denovo: Research Funding; Genentech: Consultancy, Research Funding; Incyte: Research Funding; LAM Therapeutics: Research Funding; MEI: Research Funding; Merck: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; Millenium/Takeda: Research Funding; Trillium: Research Funding.

Background MZL is a low-grade non-Hodgkin's lymphoma (NHL) which involves lymph nodes, extranodal sites, or spleen. It is sensitive to radiation therapy, which is used in localized disease with curative intent. Yttrium-90 ibritumomab tiuxetan [(90)Y-IT; Zevalin] is a radio-immunoconjugate (RIC) that targets CD20. It is approved for relapsed/refractory low grade and follicular NHL. The data on its use in MZL is limited. We present long-term outcome of the largest reported cohort of MZL patients who received (90)Y-IT. Methods Medical records of patients who received treatment with (90)Y-IT at Mayo Clinic Cancer Center between January 2004 and December 2018 were analyzed. We selected patients with MZL and reviewed clinical data including age, gender, MZL type, clinical stage (Ann Arbor Staging System), treatment response, (90)Y-IT related adverse effects (AEs), as well as lymphoma and treatment related events. All patients received (90)Y-IT according to the standard treatment guidelines. Overall response rate (ORR) and complete response rate (CR) were calculated. Progression-free survival (PFS), time to next therapy (TTNT), and overall survival (OS) were analyzed using the Kaplan-Meier method. Results Twenty-one patients were identified (Table 1). The median age at diagnosis was 60 years (range, 11-81) and 71% (15/21) were female. 52% (11/21) were previously-untreated (UMZL) while 48% (10/21) were relapsed (RMZL). The median number of pretreatments in RMZL patients was 2 (range, 1-3). ECOG performance status at the time of treatment was 0 in 90% (19/21) and 1 in 10% (2/21). 62% (13/21) were stage III/IV disease at the time of (90)Y-IT therapy. The median follow-up was 8.5 years (95% CI; 4.5, 12.4); 17 (81%) patients remain alive. The ORR was 91% (19/21) with the two non-responders being in the RMZL group. The CR rate was 81% (17/21) and 65% (11/17) remain in CR at a median follow-up of 5.7 years (95% CI; 1.4, 11). Nine (43%) patients had a relapse during the study period. More relapses occurred in the RMZL group (7/10; 70%) compared to (2/11; 18%) in the UMZL group. Median PFS (whole cohort) was 10 years (95% CI; 2.1, NR) and TTNT (whole cohort) was not reached (NR) (95% CI; 2.1 years, NR). Median PFS was significantly higher in UMZL group compared to RMZL group NR (95% CI; 2.5 years, NR) vs 2.1 years (95% CI; 0.17, 9.9), respectively (Figure 1-A).Median OS (whole cohort) was 19.3 years (95% CI; 8.9, 19.3) without statistical difference in between UMZL group and RMZL group NR (95% CI; NR, NR) vs 16.6 years (95% CI; 9, 19.4), respectively (Figure 1-B). None of the 11 UMZL patients died at median follow up of 4.7 years (95% CI; 1.6, 9.2). All 4 deaths were in the RMZL group with 3 dying of transformation to high-grade lymphoma at 8, 22, and 25 months post-(90)Y-IT treatment. One patient died of myelodysplastic syndrome 7.3 years post-(90)Y-IT treatment while in CR. Toxicities were primarily hematologic. Grade ³3 neutropenia was observed in 6/21 (29%) patients with median time to nadir of 48.5 days (range, 19-70) and median time to recovery to normal absolute neutrophil count of 39.5 days (range, 7-476). Grade ³3 thrombocytopenia was observed in 3 (14%) patients with median time to nadir of 35 days (range, 19-357) and median time to recovery of 21 days (range, 2-538). Grade ³3 anemia was observed in only one patient. Only two patients required transfusions and growth factor support. Non-hematologic AEs included mild to severe fatigue in 4 patients. Conclusion RIC with (90)Y-IT is efficacious and well-tolerated in patients with previously untreated as well as relapsed MZL. As expected it appears to be more efficacious in previously untreated patients. Long-term complete remission (&gt;5 years) was observed in 52% of the study population (43% of UMZL and 9% of RMZL). Combination of efficacy, tolerability, and treatment schedule most convenient for patients makes (90)Y-IT a reasonable alternative to systemic therapy with immunotherapy, chemotherapy, or chemo-immunotherapy in management of MZL. Figure 1: (A) Progression-free survival; comparing time to progression or death after (90)Y-IT treatment between previously untreated patients (UMZL) and patients with relapsed MZL (RMZL), (B) Overall survival; comparing time to death from all causes after (90)Y-IT treatment between UMZL patients and RMZL patients. Disclosures Tun: Curis: Research Funding; TG Therapeutics: Research Funding; BMS: Research Funding; DTRM Biopharma: Research Funding; Celgene: Research Funding; Mundi-pharma: Research Funding. OffLabel Disclosure: The use of Yttrium-90 ibritumomab tiuxetan as a first line treatment for marginal zone lymphoma

BACKGROUND: Axi-cel is an autologous anti-CD19 chimeric antigen receptor (CAR) T-cell therapy that is approved for treatment of relapsed/refractory (R/R) large B-cell lymphoma and is associated with high response rates and durable remissions. Recent data show that axi-cel is effective across various adverse prognostic features, namely cell of origin, disease bulkiness, and extranodal disease, among others. Hypoalbuminemia is a known adverse prognostic factor in lymphomas. It is unknown if axi-cel overcomes the adverse prognostic feature of hypoalbuminemia in R/R large B-cell or transformed follicular lymphoma. METHODS: We conducted a retrospective analysis of patients treated with axi-cel across three Mayo Clinic campuses (Rochester, Jacksonville, and Phoenix) from 06/01/2018 until 04/01/2019. The primary objective of this analysis was to assess the impact of hypoalbuminemia (defined at day 0, prior to infusion) on outcome after axi-cel therapy. RESULTS: A total of 50 (male=37, 74%) patients (pts), median age of 53 (26-67) years received axi-cel. The median number of prior lines of therapy was 3 (2-8) (Table 1). Two pts had no available serum albumin levels at time of axi-cel infusion. Seven (15%) of 48 pts had serum albumin levels lower than 3.5 g/dL (median= 3.3 g/dL (range 2.6-3.4)) and the median follow up of survivors was 7.6 (1.9-14.3) months. The best overall response rate (ORR) and complete remission (CR) rates in these pts were 57% and 57%, respectively. One (14%) patient had stable disease and 2 (29%) had disease progression. The median overall survival (OS) for pts with hypoalbuminemia was not reached. On the other hand, 41 (85%) pts had a normal serum albumin level (median=4.0 (range 3.5-5.1) g/dL) and the median follow up for survivors was 6.3 months. The best objective response rate (ORR) and complete remission (CR) rates in these pts were 82% and 44%, respectively. The median OS for pts with normal serum albumin was 14 (95%CI=6.3-29.6) months. There was no significant difference at 6-months and 1-year OS between pts with hypoalbuminemia vs. those with normal baseline serum albumin levels [6-month=100% vs. 79%(95%CI=64-93%); 1-year (100% vs. 54% (95%CI=26-82%), p=0.17] (Figure 1). All grades cytokine release syndrome (CRS) was diagnosed in all 7 pts with hypoalbuminemia (100%) and in 38 of 41 (92%) pts without hypoalbuminemia. There was no difference in the median duration of CRS between pts with or without hypoalbuminemia [6 (range 1-11) days vs 5 (range 1-19) days, p=0.89]. Neurotoxicity (all grades) was observed in 5 (71%) pts with hypoalbuminemia compared 26 (63%) with normal albumin levels. There was no statistically significant difference in median duration of neurotoxicity between pts with hypoalbuminemia and those with normal baseline albumin levels [9 (range 1-10) days vs. 3 (range 0-25) days, p= 0.72]. CONCLUSIONS: Hypoalbuminemia does not have a significant impact on the outcomes of axi-cel therapy, including the incidence of CRS or neurotoxicity. These results need to be validated in a large collaborative multicenter study. Further investigation is needed to assess the prognostic impact of severe hypoalbuminemia (<3g/dL) on axi-cel therapy. Disclosures Ansell: Mayo Clinic Rochester: Employment; Seattle Genetics: Research Funding; Trillium: Research Funding; Trillium: Research Funding; Mayo Clinic Rochester: Employment; Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding; Affimed: Research Funding; Regeneron: Research Funding; Affimed: Research Funding; Bristol-Myers Squibb: Research Funding; Mayo Clinic Rochester: Employment; LAM Therapeutics: Research Funding; Affimed: Research Funding; Bristol-Myers Squibb: Research Funding; Trillium: Research Funding; Regeneron: Research Funding; Trillium: Research Funding; Affimed: Research Funding; LAM Therapeutics: Research Funding; Mayo Clinic Rochester: Employment; LAM Therapeutics: Research Funding; LAM Therapeutics: Research Funding; Bristol-Myers Squibb: Research Funding; Mayo Clinic Rochester: Employment; Mayo Clinic Rochester: Employment; Affimed: Research Funding; Regeneron: Research Funding; LAM Therapeutics: Research Funding; Seattle Genetics: Research Funding; Trillium: Research Funding; Affimed: Research Funding; Trillium: Research Funding; Bristol-Myers Squibb: Research Funding; LAM Therapeutics: Research Funding; Mayo Clinic Rochester: Employment; Trillium: Research Funding; Regeneron: Research Funding; LAM Therapeutics: Research Funding; Bristol-Myers Squibb: Research Funding; Mayo Clinic Rochester: Employment; LAM Therapeutics: Research Funding; Seattle Genetics: Research Funding; Trillium: Research Funding; Trillium: Research Funding; Seattle Genetics: Research Funding; Regeneron: Research Funding; Bristol-Myers Squibb: Research Funding; Mayo Clinic Rochester: Employment; Bristol-Myers Squibb: Research Funding; Seattle Genetics: Research Funding; LAM Therapeutics: Research Funding; Regeneron: Research Funding; Affimed: Research Funding; Seattle Genetics: Research Funding; Regeneron: Research Funding; Seattle Genetics: Research Funding; Regeneron: Research Funding; Seattle Genetics: Research Funding; Regeneron: Research Funding; Seattle Genetics: Research Funding; Affimed: Research Funding; Affimed: Research Funding. Bennani:Seattle Genetics: Other: Advisory board; Kite Pharma: Other: Advisory board; Seattle Genetics: Other: Advisory board; Adicet Bio: Other: Advisory board; Seattle Genetics: Other: Advisory board; Purdue Pharma: Other: Advisory board; Adicet Bio: Other: Advisory board; Purdue Pharma: Other: Advisory board; Purdue Pharma: Other: Advisory board; Adicet Bio: Other: Advisory board; Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding; Kite Pharma: Other: Advisory board; Bristol-Myers Squibb: Research Funding; Kite Pharma: Other: Advisory board. Paludo:Verily Life Sciences: Research Funding; Celgene: Research Funding; Verily Life Sciences: Research Funding; Celgene: Research Funding. Tun:DTRM Biopharma: Research Funding; Mundi-pharma: Research Funding; BMS: Research Funding; Celgene: Research Funding; Curis: Research Funding; TG Therapeutics: Research Funding. Foran:Agios: Honoraria, Research Funding. Kharfan-Dabaja:Daiichi Sankyo: Consultancy; Pharmacyclics: Consultancy.

Background: Progress in genome technology allows analysis of previously completed trials to identify subgroups potentially benefiting from therapy. Enzastaurin is a potent inhibitor of protein kinase C beta (PKC-β) and suppresses the phosphoinositide 3-kinase (PI3K)/AKT pathway. The safety and efficacy of Enzastaurin has been tested in more than 60 clinical trials including 2 major studies in DLBCL: (1) PRELUDE (A phase III maintenance trial of Enzastaurin vs Placebo, N=758) (Crump, 2016), and (2) S028 (A randomized phase II study of Enzastaurin/R-CHOP vs R-CHOP in frontline intermediate/high-risk DLBCL, N=101) (Hainsworth, 2016). DNA samples extracted from blood of patients from PRELUDE were retrospectively genotyped using whole genome SNP arrays. From the genome wide screening a novel genetic biomarker, DGM1, was identified showing high correlation with response to Enzastaurin treatment (Luo, ASH 2018). Importantly, these findings were replicated in the phase II S028 study. In the S028 study the hazard ratio (HR) for OS in high-risk (IPI ≥ 3) DGM1 positive (+) patients who received Enzastaurin/R-CHOP was 0.28 (0.1-0.81) when compared to subjects who received R-CHOP, a benefit favoring Enzastaurin (p=0.018). These data suggest that addition of Enzastaurin to R-CHOP may significantly improve outcome in frontline high-risk DGM1 (+) DLBCL. The ENGINE study was initiated to validate this finding in a prospective study. Study Design and Methods: Adult patients must have untreated CD20+ DLBCL, IPI ≥ 3. Patients are randomized 1:1 to Enzastaurin/R-CHOP or Placebo/R-CHOP for 6 cycles during combination phase. Each subject's treatment assignment will be unblinded after response assessment at the end of the combination phase. Subjects randomized to the investigational arm who have a complete or partial response will have the option to continue in the single agent phase to receive Enzastaurin for up to 2 additional years. The study intends to enroll approximately 235 patients with primary endpoint of OS in DGM1 (+) patients. The study is ongoing with 57 sites open in the US and China. As of 20 July 2019, 128 patients have been randomized. Clinical trial information: NCT03263026. Disclosures Nowakowski: Genentech, Inc.: Research Funding; Curis: Research Funding; Bayer: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; F. Hoffmann-La Roche Ltd: Research Funding; Selvita: Membership on an entity's Board of Directors or advisory committees; NanoString: Research Funding; MorphoSys: Consultancy, Research Funding. Brody:Acerta Pharma: Research Funding; Merck: Research Funding; Celldex Therapeutics: Research Funding; Genentech: Research Funding; Oncovir, Inc.: Research Funding; BMS: Research Funding; Kite Pharma: Research Funding. Lue:Kymera Therapeutics: Honoraria; Astex Pharmaceuticals: Honoraria. Luo:Denovo Biopharma LLC: Employment, Equity Ownership, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties. Zhang:Denovo Biopharma LLC: Employment. Han:Denovo Biopharma LLC: Employment. Jivani:TRACON Pharmaceuticals, Inc.: Other: Stock; Denovo Biopharma LLC: Employment. Liu:Denovo Biopharma LLC: Employment. Li:Denovo Biopharma LLC: Employment. Sun:Novartis: Other: Stock; Denovo Biopharma LLC: Employment.

Introduction and Purpose IRAK4 kinase activity is essential for signaling downstream of toll-like receptors (TLR) and the interleukin-1 receptor (IL-1R) family in a variety of myeloid and lymphoid cell types. Dysregulated signaling in these pathways is frequently observed in NHL, particularly in ABC-subtype of Diffuse Large B-Cell Lymphoma (DLBCL) and Waldenström macroglobulinemia (WM). A phase 1 trial in patients with NHL is being conducted to determine safety, pharmacokinetics, and preliminary efficacy of CA-4948 as monotherapy. Patients and Methods At the 18-Jul-2019 data cut-off date, 22 patients have been treated with single-agent CA-4948. Five dose-escalation cohorts from 50 mg QD to 200 mg BID have been tested and cleared; a cohort of patients treated at 400 mg BID dose is currently being evaluated. Patients were diagnosed with relapsed or refractory NHL, including DLBCL (n=13), FL (n=5), HGBL with MYC and BCL2 and/or BCL6 rearrangement (n=1), WM (n=1), LPL (n=1) and MCL (n=1), had a performance status of 0 or 1 (ECOG) at baseline, and were treated in 21-day cycles until progression of disease or unacceptable toxicity, lost to follow-up or death. 5 patients had prior autologous bone marrow transplants. Results CA-4948 has been generally well tolerated. Grade 3/4 treatment-related adverse events included amylase/lipase increased, diarrhea, neutrophil count decreased, rash, rhabdomyolysis. Pharmacokinetics has shown favorable characteristics with dose-proportional increases in exposure. Five patients have been on treatment through the end of Cycle 4, including one patient in Cycle 10 on study for over 7 months. Five patients experienced overall tumor burden decreases of ≥20% from baseline, including at least 2 of 4 patients treated at 200 mg BID. Downstream pharmacodynamic markers of IRAK4 activity are being evaluated. Molecular characteristics including cell-of-origin will be presented. Conclusion CA-4948 demonstrates preliminary clinical activity. Enrollment is on-going and the MTD has not been reached. These encouraging results warrant further clinical testing in patients with advanced hematological malignancies. Clinical trial: NCT03328078. Disclosures Younes: Roche: Consultancy, Honoraria, Research Funding; Takeda: Honoraria; Genentech: Research Funding; Pharmacyclics: Research Funding; Janssen: Honoraria, Research Funding; Merck: Honoraria, Research Funding; Curis: Honoraria, Research Funding; Biopath: Consultancy; Xynomics: Consultancy; Celgene: Consultancy, Honoraria; HCM: Consultancy; BMS: Research Funding; AstraZeneca: Research Funding; Syndax: Research Funding; Abbvie: Honoraria; Epizyme: Consultancy, Honoraria. Nowakowski:Selvita: Membership on an entity's Board of Directors or advisory committees; NanoString: Research Funding; MorphoSys: Consultancy, Research Funding; Genentech, Inc.: Research Funding; F. Hoffmann-La Roche Ltd: Research Funding; Curis: Research Funding; Bayer: Consultancy, Research Funding; Celgene: Consultancy, Research Funding. Tun:Mundi-pharma: Research Funding; DTRM Biopharma: Research Funding; BMS: Research Funding; Celgene: Research Funding; Curis: Research Funding; TG Therapeutics: Research Funding. Lunning:Janssen Scientific Affairs, LLC: Consultancy, Research Funding; Curis: Research Funding; Juno Therapeutics: Consultancy, Research Funding; MiRagen: Research Funding; TG Therapeutics: Consultancy, Research Funding; Spectrum: Consultancy; VANIUM: Consultancy; Verastem: Consultancy; DAVA: Consultancy; Bayer: Consultancy; AbbVie: Consultancy; Kite: Consultancy; Gilead Sciences, Inc.: Consultancy; Seattle Genetics: Consultancy; Portola: Consultancy; OncLive: Consultancy; Novartis: Consultancy. Isufi:Celgene: Consultancy; Novartis: Consultancy; Astra Zeneca: Consultancy. Martell:Curis, Inc.: Employment. Patel:AstraZeneca: Consultancy, Research Funding, Speakers Bureau; Celgene: Consultancy, Speakers Bureau; Genentech: Consultancy, Speakers Bureau; Pharmacyclics/Janssen: Consultancy, Speakers Bureau; Sunesis: Consultancy.