Citations

Abstract Background Cardiac implantable electronic device-related infective endocarditis (CIED-IE) comprises 10–57% of total CIED infections. Patients with definite CIED-IE who fulfill both major modified Duke criteria have not been well characterized. Methods Data from the Multicenter Electrophysiologic Device Infection Cohort, a prospective, multinational study of CIED infections were used to describe a subset of patients with CIED-IE who met both major Duke criteria for definite IE (bloodstream infection and intracardiac vegetations [VEG]). Results Of 433 patients with CIED infection, 144 (33.3%) had definite CIED-IE. The median age was 68 years and 77.1% were male. Twelve (8.3%) had past CIED infection. Seventy-seven patients (53.5%) had permanent pacemakers, 38 (26.4%) had implantable cardioverter defibrillators, and 29 (20.1%) had combination devices. The median time following the last device procedure was 550 days. CIED-IE was early in 60 patients (41.7%) and late in 84 (58.3%). Most patients presented with fever (77.8%) and sepsis (44.4%) with a median symptom duration of 7 days. On echocardiography, lead VEG was noted in 125 patients (86.8%) and valvular VEG in 54 patients (37.5%) with the tricuspid valve involved in 56.5%. On the basis of VEG location, there were 90 patients (62.5%) with isolated lead-associated IE (LAE), 19 patients (13.2%) with isolated valve-associated IE (VAE), and 35 patients (24.3%) with both (LVAE). All patients had positive blood cultures and 63/119 (52.9%) had positive lead cultures. The predominant organism in blood was Staphylococcus aureus (42.4%), followed by coagulase-negative staphylococci (20.1%). CIED removal occurred in 131 patients (91%). There were 25 deaths during the index hospitalization and 34 total deaths (24.3%) by 6 months. Mortality correlated with age >75 (P = 0.023) and sepsis on presentation (P = 0.052). Infecting organism, site of VEG, and device removal did not impact the risk of death. Conclusion Definite CIED-IE is relatively common. The majority of patients tend to have late-onset infection and often present with sepsis. S. aureus is the dominant organism causing definite CIED-IE. Isolated LAE occurs in 63% of patients. Older age and sepsis on admission are associated with higher mortality. Disclosures All authors: No reported disclosures.

Abstract Objective To design, develop, and evaluate a scalable clinical data normalization pipeline for standardizing unstructured electronic health record (EHR) data leveraging the HL7 Fast Healthcare Interoperability Resources (FHIR) specification. Methods We established an FHIR-based clinical data normalization pipeline known as NLP2FHIR that mainly comprises: (1) a module for a core natural language processing (NLP) engine with an FHIR-based type system; (2) a module for integrating structured data; and (3) a module for content normalization. We evaluated the FHIR modeling capability focusing on core clinical resources such as Condition, Procedure, MedicationStatement (including Medication), and FamilyMemberHistory using Mayo Clinic’s unstructured EHR data. We constructed a gold standard reusing annotation corpora from previous NLP projects. Results A total of 30 mapping rules, 62 normalization rules, and 11 NLP-specific FHIR extensions were created and implemented in the NLP2FHIR pipeline. The elements that need to integrate structured data from each clinical resource were identified. The performance of unstructured data modeling achieved F scores ranging from 0.69 to 0.99 for various FHIR element representations (0.69–0.99 for Condition; 0.75–0.84 for Procedure; 0.71–0.99 for MedicationStatement; and 0.75–0.95 for FamilyMemberHistory). Conclusion We demonstrated that the NLP2FHIR pipeline is feasible for modeling unstructured EHR data and integrating structured elements into the model. The outcomes of this work provide standards-based tools of clinical data normalization that is indispensable for enabling portable EHR-driven phenotyping and large-scale data analytics, as well as useful insights for future developments of the FHIR specifications with regard to handling unstructured clinical data.

Pontocerebellar hypoplasia (PCH) is a group of neurological disorders that affect the development of the brain, in particular, the pons and cerebellum. Homozygous mutations of TBC1D23 have been found recently to lead to PCH; however, the underlying molecular mechanisms remain unclear. Here, we show that the crystal structure of the TBC1D23 C-terminal domain adopts a Pleckstrin homology domain fold and selectively binds to phosphoinositides, in particular, PtdIns(4)P, through one surface while binding FAM21 via the opposite surface. Mutation of key residues of TBC1D23 or FAM21 selectively disrupts the endosomal vesicular trafficking toward the Trans-Golgi Network. Finally, using the zebrafish model, we show that PCH patient-derived mutants, impacting either phosphoinositide binding or FAM21 binding, lead to abnormal neuronal growth and brain development. Taken together, our data provide a molecular basis for the interaction between TBC1D23 and FAM21, and suggest a plausible role for PtdIns(4)P in the TBC1D23-mediating endosome-to-TGN trafficking pathway. Defects in this trafficking pathway are, at least partially, responsible for the pathogenesis of certain types of PCH.

Abstract Heritable mitochondrial DNA (mtDNA) mutations are common, yet only a few recurring pathogenic mtDNA variants account for the majority of known familial cases in humans. Purifying selection in the female germline is thought to be responsible for the elimination of most harmful mtDNA mutations during oogenesis. Here we show that deleterious mtDNA mutations are abundant in ovulated mature mouse oocytes and preimplantation embryos recovered from PolG mutator females but not in their live offspring. This implies that purifying selection acts not in the maternal germline per se, but during post-implantation development. We further show that oocyte mtDNA mutations can be captured and stably maintained in embryonic stem cells and then reintroduced into chimeras, thereby allowing examination of the effects of specific mutations on fetal and postnatal development.

Abstract Background: The persistence of detectable MRD in complete remission (CR/CRi - CR with incomplete CBC recovery) has been reported to contribute to inferior outcome in younger AML patients (pts) in retrospective studies, however MRD has not been studied prospectively in older adults (age ≥60 yrs) receiving intensive therapy with curative intent. We performed a planned prospective study of MRD status after AML induction therapy in older adults, integrated into the large multicenter ECOG-ACRIN (E-A) E2906 Phase III trial. Methods Eligible patients age ≥60 yrs with AML were randomized 1:1 to receive either 'Standard' 7&3 (Dauno 60mg/m2) induction, with 2 cycles of intermediate dose Ara-C (1.5g/m2 x 12 doses; 6 doses if age ≥70) consolidation (Arm A); or single agent clofarabine (CLO) induction and consolidation (2 cycles) (Arm B). The design and primary clinical results for E2906 (n=727) have been reported previously (Foran et al, ASH #217a, 2015), demonstrating superior overall survival (OS) with standard therapy despite similar CR/CRi rates using stringent criteria, and similar 30-day induction mortality rates. Submission of diagnostic & remission bone marrow or peripheral blood samples was protocol mandated for prospective MRD assessment, and analysis was performed in the central E-A Leukemia Translational Research Lab (LTL) using 6-color multiparameter flow cytometry. MRD-positive (MRD+) was defined as ≥0.1%. LTL flow cytometric analysis was done blinded to treatment arm and outcome of patients. Only pt samples collected within +/-6 days of CR/CRi confirmation were included in this analysis. Statistical analysis was performed using X2 (categories) and Wilcoxon rank sum (continuous) tests to compare baseline patient and disease characteristics. Log-rank tests and multivariate Cox models stratified by treatment arm and adjusted for patient and disease variable (including WBC, cytogenetics, sex, performance status, secondary AML) were used to examine the MRD effect on OS and disease-free survival (DFS, relapse or death). Results The median follow-up is 47.8 months, and 297 of 685 evaluable patients (43.4%) achieved CR/CRi (Standard 44.6%; CLO 42.0%, p=ns). Remission MRD samples were only available for 147 CR/CRi patients (49.5%), owing to variability in sample viability and AML involvement, collection practices and timing of sample collection at individual sites, and patient/physician decision. 58/147 evaluable CR/CRi patients achieved MRD-negative (MRD-) status (Standard 40.7%, CLO 47.9%, p=0.74). Women (56.9% vs. men 43.1%, p=0.003) were more likely to be MRD-, but there was no other significant difference in MRD status stratified by clinical or disease features. MRD+ status at CR/CRi was associated with significantly inferior OS (p=0.031, Figure 1) and also inferior overall DFS (p=0.02); this was most pronounced for DFS after CLO (Arm B, Figure 2) (p=0.005), but not Standard (Arm A) therapy (p=0.41). The impact of MRD+ was confirmed on multivariate analysis using Cox Model Fitting, for OS: OS for All MRD+ pts, HR 1.64 (95% CI 1.00-2.68) (p=0.05); OS for Standard (Arm A) MRD+ pts, HR 1.06 (95% CI 0.51-2.21) (p=0.87); and OS for CLO (Arm B) MRD+ pts, HR 2.30 (95% CI 1.05-5.06) (p=0.04). There was a similar impact for DFS on multivariate analysis using Cox Model Fitting: DFS for All MRD+ pts, HR 1.86 (95% CI 1.16-2.98) (p=0.01); DFS for Standard (Arm A) MRD+ pts, HR 1.15 (95% CI 0.60-2.19) (p=0.67); and DFS for CLO (Arm B) MRD+ pts, HR 3.45 (95% CI 1.47-8.09) (p=0.004). Post-remission therapy was not stratified by MRD in E2906, and 33% of MRD-evaluable pts underwent allogeneic transplantation (no difference in transplant rate for MRD+ vs. MRD-). Conclusions MRD+ ≥0.1% is common (60.5%) after induction therapy in older adults & is significantly associated with inferior OS and DFS in 1st CR/CRi. However we observed excellent outcomes for MRD- pts in first CR/CRi regardless of induction regimen or post-remission therapy used. MRD+ pts in CR/CRi who went on to receive CLO consolidation had significantly poorer outcomes than those who went on to receive intermediate dose Ara-C consolidation. This observation differs strikingly from younger AML, and suggests that intensified Ara-C may abrogate the adverse impact of MRD in older pts in CR. These results strongly support incorporation of centralized MRD at the time of remission into future studies to guide optimal post-remission strategies in older pts with AML. Disclosures Foran: Agios: Research Funding; Xencor, Inc.: Research Funding. Lazarus:Pluristem Ltd.: Consultancy. Altman:Bayer: Other: payment to the institution to conduct clinical trial work; Pfizer: Other: payment to the institution to conduct clinical trial work; Boeringer Ingelheim: Other: payment to the institution to conduct clinical trial work; Epizyme: Other: payment to the institution to conduct clinical trial work; Janssen Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Immune Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Cyclacel: Other: payment to the institution to conduct clinical trial work; Incyte: Other: payment to the institution to conduct clinical trial work; GSK: Other: payment to the institution to conduct clinical trial work; Agios: Other: Payment to the institution to conduct the trial ; Astellas Pharma: Other; Celgene: Membership on an entity's Board of Directors or advisory committees, Other: payment to the institution to conduct clinical trial work; BMS: Membership on an entity's Board of Directors or advisory committees; Syros: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Ariad: Other: payment to the institution to conduct clinical trial work; FujiFilm: Other: payment to the institution to conduct clinical trial work; Genetech: Other: Payment to the institution to conduct clinical trial work; Celator: Other: payment to the institution to conduct clinical trial work. Al-Kali:Novartis: Research Funding. Pratz:Millenium/Takeda: Research Funding; Agios: Research Funding; AbbVie: Consultancy, Research Funding; Astellas: Consultancy, Research Funding; Boston Scientific: Consultancy. Powell:Rafael Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Tallman:ADC Therapeutics: Research Funding; BioSight: Other: Advisory board; Daiichi-Sankyo: Other: Advisory board; Orsenix: Other: Advisory board; AROG: Research Funding; AbbVie: Research Funding; Cellerant: Research Funding.

Abstract Background: Checkpoint blockade therapies (CBT) have substantially improved outcomes for patients in a variety of cancers. However, they are associated with a unique spectrum of immune-related adverse events (AEs). Additionally, unlike standard chemotherapy, many patients (pts) remain on CBT for prolonged periods of time, thus immune-related symptomatic AEs may be chronic or low grade therefore important to capture long term tolerability when used as a single agent or in combination with chemotherapy. In this study, we applied the Toxicity over Time (ToxT) analytic approach (Thanarajasingam et al, Lancet Oncol 2016), which incorporates the dimension of time and includes chronic lower grade events, to the first 6 cohorts (A-F) of a Phase 1/2 ECOG-ACRIN sponsored study of the combinations of Brentuximab Vedotin (BV) and the CBT therapies ipilimumab (Ipi) and nivolumab (Nivo) in pts with relapsed or refractory Hodgkin lymphoma (R/R HL). Methods: Pts with confirmed R/R HL were treated with BV 1.8mg/kg + Ipi 1or 3 mg/kg (n=23); or Nivo 3mg/kg + BV: 1.2 or 1.8 mg/kg (n=19). BV was administered every 21 days for 16 cycles; Ipi every 21 days x 4 and then every 3 months for one year and Nivo every 21 days for up to 2 years. Seven symptomatic (subjective) AEs were selected: fatigue, peripheral sensory neuropathy (PSN), nausea/vomiting (NV), rash/skin (RS), diarrhea, ocular-all types, and hair loss. Treatment-related AEs of any grade were investigated by conventional maximum grade toxicity analysis (ToxC) and ToxT methods up to 12 cycles. Using ToxT, mean AE grades over cycles were analyzed for time trend with repeated measures models, time to grade 2 or higher AE (gr2+) was analyzed with time-to-event analysis; AE profile over the entire course of the study was summarized by area under the curve (AUC) analyses. Comparisons were performed between treatment groups: BV/Ipi(A-C arms) and BV/Nivo (D-F arms). Results: 9/23 (BV/Ipi) and 6/19 (BV/Nivo) pts completed 10 cycles. For BV/Ipi vs. BV/nivo, ToxC provides overall incidence rates (any grade): fatigue 52% vs 26% (p=0.09); PSN 61% vs 53%; NV 70% vs 53% ; RS 65% vs. 37% (p=0.07); diarrhea 57% vs. 21% (p=0.02); ocular 17% vs. 21% ; and hair loss 17% vs. 0% (p=0.06), respectively. Gr3 AE occurred in 1 pt (2.4%) each for PSN, NV, diarrhea, and 6 pts (14.3%) for RS, and were similar between BV/ipi and BV/nivo. AUC from ToxT which captures chronic lower grade AEs suggested for BV/Ipi: diarrhea (p=0.02) and NV (p=0.03) are significantly more substantial over time with a trend seen for fatigue (p=0.07), RS (p=0.07) and hair loss (p=0.07) . Additionally, ToxT captures the trajectory of AEs, demonstrated a rising incidence and worsening grade of PSN (BV-related) on BV/Ipi (c1: 9% gr1, c2: 21% gr1 5% gr2, c5: 11% gr1 and c10: 22% gr2 [p=0.005], Fig 1a). In contrast there was a slow but significant decreasing incidence of NV on both combinations; for BV/Nivo (c1:52% gr1, c5: 26% gr1 and c10: 22% gr1) and BV/Ipi (c1: 47% gr1 ,c5: 0% and c10 1% gr1) with p=0.006 (Fig 1b). RS and diarrhea appear early on treatment and are not cumulative (Fig1c and 1d). There is no significant difference in the time to gr 2+ toxicities in any of the 7 AE. Combining all 7 AEs and using the maximum grade as a pilot measure of overall AE burden , ToxC indicates no difference in any grade (100% vs 100%) but a significantly higher gr 3+ incidence (35% vs. 11%) for BV/Ipi. Additionally, ToxT further elucidates that BV/Ipi is associated with significantly higher overall AE over time (Fig 2a, p=0.02) and compared to BV/Nivo a significantly higher risk of developing gr 2+ toxicity ( 57% vs 16% gr2 + event by day 50) (HR=0.41, p=0.02, Fig 2b). Conclusions: The CBT therapies Ipi and Nivo, in combination with BV, are overall both well tolerated over time, although BV/Ipi has a higher overall AE burden. Neither regimen has significant cumulative immune toxicity. Results of this analysis should be interpreted in the context of limited number of pts in both cohorts. A larger scale examination of this analysis is planned to incorporate both phase 1 and the ongoing phase 2 components of E4412. Compared with conventional tox analysis, ToxT delineated important additional and clinically relevant depictions of AEs over time and adds a more comprehensive assessment of the tolerability of chronically administered immune therapies for lymphoma. Disclosures Hong: Merck: Consultancy. Ansell:Regeneron: Research Funding; Merck & Co: Research Funding; Takeda: Research Funding; Seattle Genetics: Research Funding; Bristol-Myers Squibb: Research Funding; Affimed: Research Funding; Pfizer: Research Funding; Celldex: Research Funding; Trillium: Research Funding; LAM Therapeutics: Research Funding. Cohen:Bristol-Myers Squibb: Research Funding; Millennium: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Research Funding; Janssen: Research Funding; Bristol-Myers Squibb: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Infinity Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Infinity Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; BioInvent: Consultancy; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Research Funding; BioInvent: Consultancy; Pharmacyclics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Research Funding. Advani:Kura: Research Funding; Janssen: Research Funding; Bayer: Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board; Autolus: Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board, Research Funding; Roche/Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board, Research Funding; Cell Medica: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board; Kyowa: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board; Astra Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board; Millenium: Research Funding; Seattle Genetics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board, Research Funding; Celgene: Research Funding; Agensys: Research Funding; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Infinity: Research Funding; Forty Seven Inc.: Research Funding; Celgene: Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Research Funding; Regeneron: Research Funding; Gilead/Kite: Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board. Barta:Janssen: Membership on an entity's Board of Directors or advisory committees; Merck, Takeda, Celgene, Seattle Genetics, Bayer: Research Funding. Svoboda:Pharmacyclics: Consultancy, Research Funding; Merck: Research Funding; KITE: Consultancy; TG Therapeutics: Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Regeneron: Research Funding; Seattle Genetics: Consultancy, Research Funding; Kyowa: Consultancy. Karmali:AstraZeneca: Speakers Bureau; Gilead: Speakers Bureau. Witzig:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Dueck:Bayer: Employment; Phytogine: Employment; Pfizer: Honoraria. Kahl:Genentech: Consultancy; Acerta: Consultancy; AstraZeneca: Consultancy; Abbvie: Consultancy; Juno: Consultancy; Celgene: Consultancy; Seattle Genetics: Consultancy; ADC Therapeutics: Consultancy; CTI: Consultancy; Gilead: Consultancy. Diefenbach:Merck: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Acerta: Research Funding; Millenium/Takeda: Research Funding; Genentech: Consultancy; Denovo: Research Funding; Incyte: Research Funding; Seattle Genetics: Consultancy, Research Funding; Trillium: Research Funding.

Abstract Background: Bortezomib has efficacy in follicular lymphoma (FL). Though generally well tolerated, it is associated with a few known toxicities, including neurotoxicity. As a chronically administered agent, it is important to investigate the tolerability of bortezomib over time as a single agent and in combination with chemotherapy. The current method of summarizing adverse events (AEs) -focusing on the maximum grade and reporting only grade 3 or higher incidences- fails to capture toxicity that evolves over time or chronic low grade AEs that may occur at significant expense to patients' quality of life. In this study, we applied the Toxicity over Time (ToxT) analytic approach (Thanarajasingam et al, Lancet Oncol 2016), which graphically and analytically depicts AEs longitudinally, to a randomized Phase 2 ECOG-ACRIN sponsored study, E2408, to characterize chronic toxicity of bortezomib (V) when added to standard bendamustine-rituximab (BR) induction in previously untreated high risk FL. Methods: In E2408, patients (pts) were randomized to one of 3 arms at a 1:2:2 ratio: A) BR x 6 followed by maintenance rituximab (MR) x 2 years (yrs) vs B) BVR x 6 (bortezomib 1.3 mg/m2 IV/SQ days 1, 4, 8, 11) then MR x 2 yrs vs C) BR x 6 then MR x 2 yrs + lenalidomide 20mg/day x 1 yr. Pts enrolled 1/2011-5/2015. This analysis focuses on the 6 cycles of induction only, with arms A and C combined. Six AEs of interests were selected, 4 symptomatic (subjective) AEs (peripheral sensory neuropathy (PSN), diarrhea, febrile neutropenia, fatigue); and 2 non-symptomatic (objective) AEs (neutropenia and thrombocytopenia). Treatment-related post baseline AEs of any grade were investigated by conventional maximum grade toxicity analysis (ToxC) and ToxT methods. The mean AE grades over cycles were analyzed by repeated measures models, time to grade 2 or higher (gr2+)AE were analyzed with time-to-event analysis; and AE profile over the entire course of the study was summarized by area under the curve (AUC) analyses. Comparisons were performed between treatment arms (BVR vs. BR). Results: All 280 randomized treated pts (187 on BR, 93 on BVR) were included in the analysis regardless of eligibility status; 87% (163/187 BR, 81/93 BVR) completed all 6 cycles. Analyzing the symptomatic AEs,ToxC indicates that the overall incidence of grade 3+ PSN was significantly higher in BVR (12%) than BR (1%) (p<.0001). Additional, ToxT captures the trajectory, demonstrating a rapid, rising incidence and worsening grade of PSN on BVR vs BR over 6 cycles in a steam plot of mean gr. by cycle (Fig 1a) and bar chart of incidence and grade per cycle (c1: 13% gr1 3% gr2, c6: 36% gr1 12% gr2 6% gr3 on BVR; c1: 3% gr1, c6: 10% gr1 1% gr2 on BR, Fig. 1b). Risk of developing gr2+ PSN was significantly higher in BVR than BR with 28% vs 0.5% by day 100 (HR=0.01, p<.0001, Fig. 1c). ToxC captures a higher incidence of grade 3+ diarrhea on BVR (7% vs. 1% , p=.01) while AUC from ToxT includes chronic lower grade diarrhea, that is substantial over time on BVR vs. BR (p<.0001), but is not cumulative. Furthermore, the risk of developing gr2+ diarrhea affecting drug tolerability is significantly higher on BVR than BR(13% vs 5% by day 100) (HR=0.3, p=.05). Febrile neutropenia appeared to be similar, and fatigue was marginally more severe under BVR (p=.06 by AUC). For objective AEs, ToxC reveals no significant difference in neutropenia or thrombocytopenia BVR vs BR (neutropenia gr 3+: 36% vs 31%, p=.4; thrombocytopenia gr3+: 10% vs. 5%, p=.12). However, ToxT illustrates that neutropenia is cumulative, worsening over repeated exposure to drug (c1: 2% gr1 5% gr2 5% gr 3+ , c6: 7% gr1 10% gr2 12% gr3+ both arms combined; p<.0001) on mean grade over time (Fig. 2a). In contrast, thrombocytopenia does not worsen with continued treatment (Fig 2b, p=.73). Conclusions: Compared with conventional toxicity analysis (ToxC), ToxT delineated important additional and clinically relevant depictions of both symptomatic and laboratory AEs over time for bortezomib added to BR in FL pts. In patients receiving BVR, close monitoring is suggested for PSN, diarrhea and neutropenia for reassessment of risks and benefits, symptom interventions and dose modification. Longitudinal toxicity analyses such as ToxT can guide AE interventions as well as patient and clinician education, and provide a more patient-centered toxicity assessment of chronically administered therapies for lymphoma. Disclosures Hong: Merck: Consultancy. Evens:Seattle Genetics, Inc.: Membership on an entity's Board of Directors or advisory committees, Research Funding; Acerta: Consultancy; Abbvie: Consultancy; Bayer: Consultancy; Janssen: Consultancy; Novartis: Consultancy; Tesaro: Research Funding; Affimed: Consultancy; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics International DMC: Membership on an entity's Board of Directors or advisory committees. Advani:Kura: Research Funding; Roche/Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board, Research Funding; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board, Research Funding; Celgene: Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Kyowa: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board; Bayer: Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board; Cell Medica: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board; Infinity: Research Funding; Gilead/Kite: Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board; Janssen: Research Funding; Astra Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board; Regeneron: Research Funding; Seattle Genetics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board, Research Funding; Forty Seven Inc.: Research Funding; Merck: Research Funding; Millenium: Research Funding; Agensys: Research Funding; Celgene: Research Funding; Autolus: Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board. Gascoyne:NanoString: Patents & Royalties: Named Inventor on a patent licensed to NanoString Technologies. Witzig:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Dueck:Bayer: Employment; Pfizer: Honoraria; Phytogine: Employment. Kahl:Genentech: Consultancy; Acerta: Consultancy; ADC Therapeutics: Consultancy; Seattle Genetics: Consultancy; Abbvie: Consultancy; Juno: Consultancy; Gilead: Consultancy; Celgene: Consultancy; CTI: Consultancy; AstraZeneca: Consultancy.

Abstract Background: There remains a critical need to identify untreated HR FL patients (pts) who are at increased risk of early progression and death with conventional treatment. Data examining baseline PET has been reported to be prognostic in FL, however, there remains a paucity of data analyzing this in the context of bendamustine/rituximab (BR) induction followed by maintenance rituximab (MR). We examined the prognostic impact of baseline PET metabolic imaging from the randomized BIONIC study for pts with untreated HR FL. Methods: The BIONIC study conducted by the ECOG-ACRIN Cancer Research Group enrolled untreated grade I/II or IIIa FL pts with HR disease defined as GELF high tumor burden and/or FLIPI score of 3-5. Pts were randomized to: a) standard BR induction x 6 followed by maintenance rituximab (MR) q 2 months x 2 years vs b) bortezomib + BR x 6 followed by MR q 2 months x 2 years vs c) BR x 6 followed by q 2 months MR x 2 years + lenalidomide given concurrently with the first year of MR. Survival analyses showed no significant differences in 4-year progression-free survival (PFS) or overall survival (OS) for any study arm (Evens AM et al, ASH 2017). All pts were thus pooled for the purpose of analyzing baseline PET imaging and other characteristics and for correlation with clinical outcomes. Kruskal-Wallis & Wilcoxon Rank Sum test were used to assess differences in distribution of: metabolic measurements (SUVmax and SUVmean of the dominant mass (i.e., the mass/lesion with the highest SUV uptake); metabolic tumor volume (MTV); and total lesion glycolysis (TLG) by categorical variables); induction treatment response; and end-of-induction (EOI) PET response vis-à-vis Deauville scoring (1-3 = negative). Cox proportional hazards regression was used to correlate these metabolic measurements with PFS & OS and multivariable analyses were conducted. An optimal cutoff threshold (grouping into 'High' or 'Low' categories) was used for the metabolic measurements that were significantly associated with PFS & OS. Results: Metabolic data were received and measurements were analyzed centrally on 182 (71%) of 257 eligible pts. The EOI overall response rate (ORR) for all pts on study was 92% with a complete remission (CR) rate of 73%. Additionally, 12% of pts experienced early progression of disease (POD) within 2 years. SUVmax was borderline for association with PFS (P=0.06) and MTV and TLG were not associated with PFS or OS. We demonstrated a statistically significant linear relationship between continuous SUVmean score with PFS and OS, and thereafter, used the minimum p-vlaue approach to determine the optimal cutoff threshold of 7.03 to group pts into 'High' and 'Low' risk groups; with this threshold, baseline SUVmean of the dominant mass was categorized as high risk in 27% pts. The 4-year PFS rates for SUVmean low vs high groups were 80% (95% CI 72, 90%) vs 55% (40, 74%), respectively, P<0.001; and the corresponding 4-year OS rates were 93% (89, 98)% vs 80% (95% CI 69, 93%), respectively, P=0.01 (see Fig. 1). Sensitivity analyses showed no differences in baseline SUVmean by study arm, GELF or FLIPI. The only clinical characteristic that varied among patients with low vs high baseline SUVmean was Black race (0.8 vs 8.0%, respectively, Chi-square P=0.08); there were no other differences based on age, sex, stage, FLIPI, GELF status, ECOG PS, LDH, or # of extranodal sites. In addition, baseline SUVmean correlated with EOI PET (negative EOI PET with baseline SUVmean Low vs High: 81% vs 62%, respectively, P=0.03). In multivariable analyses, both baseline SUVmean and EOI PET remained significant (SUVmean: PFS HR 2.62 (95% CI 1.40-4.92), P=0.001, OS HR 2.37 (95% CI 1.01-5.56), P=0.02; EOI PET PFS HR 4.70 (95% CI 2.74-9.54), P<0.001, OS HR 2.78 (95% CI 1.18-6.56), P=0.01). Finally, baseline SUVmean was also strongly predictive of FL pts who experienced early 2-year POD (Chi-square P<0.001). Conclusions: High baseline SUVmean of the dominant mass was a strong independent prognostic factor for survival for untreated HR FL pts treated with BR-based induction with rituximab maintenance and significance was independent of FLIP or GELF criteria. Collectively, this represents a novel and simple method to identify FL pts at increased risk of early POD and poor survival with standard therapy. Continued investigation of combined PET imaging analyses and other correlative studies to enrich prognostication are warranted. Disclosures Hong: Merck: Consultancy. Advani:Bristol Myers Squibb: Other: Consultancy/Advisory role and Institutional Research Support; Kyowa: Other: Consulting/Advisory Role; Infinity: Other: Institutional Research Support; Pharmacyclics: Other: Institutional Research Support; Seattle Genetics: Other: Consultancy/Advisory role, Institutional Research Support; Regeneron Pharmaceuticals, Inc.: Other: Institutional Research Support; Millenium: Other: Institutional Research Support; Bayer Healthcare Pharmaceuticals: Other: Consultancy/Advisory Role; Autolus: Other: Consultancy/Advisory Role; Takeda: Other: Consultancy/Advisory Role; Celgene: Other: Institutional Research Support; Roche/Genentech: Other: Consultancy/Advisory Role, Institutional Research Support; AstraZeneca: Other: Consultancy/Advisory Role; Cell Medica: Other: Consultancy/Advisory Role; Gilead/Kite: Other: Consultancy/Advisory Role; Agensys: Other: Institutional Research Support; Kura: Other: Institutional Research Support; Forty Seven, Inc: Other: Institutional Research Support; Merck: Other: Institutional Research Support; Janssen Pharmaceutical: Other: Institutional Research Support. Gascoyne:NanoString: Patents & Royalties: Named Inventor on a patent licensed to NanoString Technologies. Witzig:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Kahl:Acerta: Consultancy; Celgene: Consultancy; Abbvie: Consultancy; Juno: Consultancy; CTI: Consultancy; Gilead: Consultancy; Seattle Genetics: Consultancy; Genentech: Consultancy; AstraZeneca: Consultancy; ADC Therapeutics: Consultancy. Evens:Affimed: Consultancy; Novartis: Consultancy; Acerta: Consultancy; Bayer: Consultancy; Tesaro: Research Funding; Pharmacyclics International DMC: Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Seattle Genetics, Inc.: Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Consultancy.