Friedberg, Jonathan W.

Background Follicular and marginal zone B cell lymphoma (FL; MZL) demonstrate an indolent course with heterogeneous outcomes and a potential for spontaneous remissions indicating immune system intervention. T cell-based therapeutic approaches are therefore an attractive proposition in FL and MZL. EO2463 peptide immunotherapy expands pre-existing memory CD8 T cells recognizing non-self-protein sequences from gut bacteria which cross-react with B cell antigens. The compound includes 4 HLA-A2 synthetically produced epitopes which exhibit molecular mimicry with the B cell markers CD20, CD22, CD37, and CD268 (BAFF-receptor), as well as a the CD4 helper-epitope UCP2 derived from hTERT. EO2463 is being used to drive anti-tumor immunity against B cell malignancies, and has demonstrated long-lasting, specific CD8-memory T cell responses and clinical activity in relapsed/refractory FL and MZL [J Clinical Oncol 2024, 42 (S16), 7058]. Furthermore, CD8 T cells expanded from samples of patients (pts) treated with EO2463 can kill HLA-A2 expressing lymphoblastoid cell lines presenting the B cell targets [Hematological Oncol 2023, 41 (S2), 581-582]. Methods The current report describes testing of a possible biomarker in the phase 1 portion of the ongoing EONHL1-20/SIDNEY trial (NCT04669171).This part of the trial (“Cohort 1”) included pts (n=9) with relapsed (at least 1, no limit, prior treatments) FL and MZL, stage 1-3A, confirmed to be positive for HLA-A2. Pts received EO2463 (150 [n=3] or 300μg/peptide [n=6]) SC with adjuvant Montanide ISA 51 VG q2 weeks (w) x 4, then q4w, for a max of 12 months; at w7 lenalidomide (20 mg/day for 21/28 days up to 12 cycles) was added (EL), and if no complete remission (CR) at w19, rituximab (375 mg/m IV, q1w x 4, then q4w x 4) was also added (ER2). Immune responses and clinical outcomes of Cohort 1 were previously reported [J Clinical Oncol 2024, 42 (S16), 7058]. To assess a possible biomarker, tetramers were used to specifically detect CD8 T cells recognizing the 4 epitopes in the EO2463 compound (derived from gut bacterial proteins exhibiting molecular mimicry with the B cell markers CD20, CD22, CD37, and CD268). The tetramers were all marked with phycoerythrin. Thawed samples of peripheral blood mononuclear cells taken at start of w5 (after 2 administrations of EO2463 monotherapy, each followed by 2w observation) were stained ex vivo (without any in vitro stimulation) with the tetramers and assayed by flow cytometry. Results are presented as percentage of EO2463 specific CD8 T cells among all CD8 T cells in the peripheral blood of the pt. Results Among the 9 treated pts, PET-CT at w6 (after 3 administrations of EO2463 monotherapy) suggested possible clinical activity in 4/9 pts (1 PR, 1 pt size reduction 15%, 1 pt 20% reduced tracer uptake, 1 pt 5/6 target lesions reduced metabolic activity). By PET-CT at w42 (after 12 administrations of EO2463 monotherapy, 11 cycles of lenalidomide, and rituximab treatment) the Lugano response assessment was complete response in 6/9 pts. A positive biomarker response was assessed in 5/9 pts (percentage of specific CD8 T cells ranged from 0.2-2.1%). EO2463 monotherapy PET-CT activity at w6 (n=4/9 pts): 4 of 4 pts with clinical activity were biomarker positive and 1/5 of the other pts was also positive; this pt had an isolated increase in FDG-uptake at w6, followed by a CR at w19. Four further other pts were biomarker negative. In this limited sample, the biomarker had sensitivity 100% and specificity 80%. EO2463 in combination with lenalidomide/rituximab PET-CT CR at w42 (n=6/9): 5 of 6 pts with CR were biomarker positive and 1 pt with CR was negative; the pt with a negative test had no objective tumor response until after rituximab. In this limited sample, the biomarker showed sensitivity 83% and specificity 100%. Conclusions The current preliminary assessment indicates that direct ex vivo tetramer staining for specific CD8 T cells after short term (5 w) treatment with EO2463 monotherapy could be a possible biomarker for clinical response, both for EO2463 monotherapy response, and for response to EO2463 in combination with lenalidomide/rituximab. We plan to validate these findings in the ongoing study cohorts of the trial; expansion phase 2 cohorts, exploring EO2463 monotherapy in the “watch & wait” setting, EO2463 plus rituximab for 1st line FL/MZL, and EO2463/lenalidomide +/- rituximab in relapsed FL/MZL.

Introduction: The optimal induction for younger fit patients (pts) with mantle cell lymphoma (MCL) is unknown; though intensive chemoimmunotherapy (CIT) containing high dose cytarabine has been shown to prolong remission. Achieving molecular remission is an independent predictor of outcomes post induction therapy in patients with MCL. Incorporating undetectable measurable residual disease (uMRD) status into the primary endpoint may be preferable to progression-free survival (PFS), particularly when approaches following induction are varied (e.g., ASCT, maintenance treatment, observation). Induction with 3 cycles of bendamustine and rituximab followed by 3 cycles of cytarabine and rituximab (BR/CR) is associated with high complete metabolic response (CMR) and uMRD rates (Armand et al., BJH 2016; Merryman et al., Blood Adv 2020). Bruton's tyrosine kinase inhibitors (BTKi) including ibrutinib and acalabrutinib (A) in combination with CIT are highly effective in MCL (Wang et al., EHA 2024, LBA 3439). In 2019, the US Intergroup activated EA4181 to explore the efficacy with the addition of fixed duration BTKi, to BR or BR/CR for patients with MCL ≤ 70 years old. Patients and methods: Patients were randomized 1:1:1 (stratified by MIPI risk status) to 6 cycles of BR/CR (control arm), BR/CR-A, or BR-A. Cytarabine was dosed at 2 g/m2 Q12 hours x 4, with dose reductions based on age and creatinine clearance. Acalabrutinib was dosed at 100 mg BID continuously on BR cycles with the BR/CR-A and BR-A arms and at 100 mg BID on days 1-7 and 22-28 with CR cycles on the BR/CR-A arm to mitigate hematologic toxicity. Consolidation approaches following induction were at the discretion of the treating physician. The primary endpoint was a composite of PET/CT CMR and peripheral blood uMRD rate (< 1 in 105). ClonoSEQ (Adaptive Biotechnologies) was performed at baseline and MRD testing was obtained at the end of induction. Secondary clinical objectives included PFS and overall survival (OS) at 36 months (mo), objective response rates (ORR), and toxicity rates. With 108 patients per arm expected, there was 86% power to detect an increase in PET/CT CMR/uMRD rate from 60% in the control arm to 75% in either BR/CR-A or BR-A arms using a Z-test with a 10% alpha (1-sided). Results: Between October 2019 and March 2023, 359 participants were randomized to BR/CR (n = 128), BR/CR-A (n = 129), and BR-A (n = 102). BR-A was closed to further accrual by the DSMC based on interim futility analysis for superiority in Fall 2022. The median (range) age was 61 (25, 70), 30% were ≥ 65 years, 77% were male, 89% were white, 89% were non-Hispanic, 18%/43%/39% were low/intermediate/high risk MIPI. Baseline clonal sequence was identified in 308/326 (95%) among samples received. 281/308 were eligible and treated and 260/281 had an end of treatment MRD test result (BR/CR = 85, BR/CR-A = 98, BR-A = 77). This subset (n = 260) is the focus of the primary analysis; sensitivity analysis included 281 eligible and treated pts with trackable clonal marker. In the primary analysis subset, 94%, 91%, and 90% in BR/CR, BR/CR-A, and BR-A arms, respectively, completed 6 cycles of protocol therapy. The PET/CT CMR/uMRD rates were 82% (BR/CR), 82% (BR/CR-A; p = 0.55 vs BR/CR), and 78% (BR-A; p = 0.76 vs BR/CR). In the sensitivity analysis set, PET/CT CMR/uMRD rates were 74% with BR/CR (n = 94), 76% (p = 0.44) with BR/CR-A (n = 106), and 74% (p = 0.52) with BR-A (n = 81). ORR (CMR) rates were 94% (91%), 99% (90%), and 94% (91%) with BR/CR, BR/CR-A, and BR-A, respectively. At a median follow-up of 27.9 mo, estimated 12-mo PFS/OS were 86%/94% (BR/CR), 89%/98% (BR/CR-A) and 87%/95% (BR-A). The proportion of treatment-related grade 3 or higher adverse events (AE) was 78%/88%/73%, with neutropenia in 52%/58%/27%, anemia in 23%/32%/3%, thrombocytopenia in 55%/66%/6%, and febrile neutropenia in 11%/12%/4%; treatment discontinuation due to AE occurred in 5%/7%/8% in BR/CR, BR/CR-A, and BR-A arms, respectively. Conclusion: High PET/CT CMR uMRD rates were seen in all 3 arms. BR/CR can be considered as a standard induction in pts ≤ 70. Addition of acalabrutinib to the standard arm added toxicity without improvement in efficacy, suggesting acalabrutinib should be avoided during Ara-C cycles. BR-A was found not superior and closed early by the DSMC; however, it is the least toxic arm with similar efficacy, and represents an appealing option to avoid high dose cytarabine.

Introduction: Health disparities negatively impact outcomes of patients (pts) with hematologic malignancies. Limited retrospective data correlating health disparities with lymphoma outcomes prohibit proper identification of reversible causes and elaboration of potential interventions. We present data from a coordinated effort between the National Clinical Trials Network (NCTN) cooperative groups (Alliance for Clinical Trials in Oncology [Alliance], Eastern Cooperative Oncology Group [ECOG], and the Southwest Oncology Group [SWOG]) to catalog the racial, ethnic, and socioeconomic characteristics of pts with lymphoma to better understand the quality of data collected, analyze selected health disparity indicators, and develop a prospective data collection tool. Methods: We conducted a retrospective analysis of demographic data from pts with lymphoma enrolled on 32 cooperative group therapeutic trials between 2005 and 2020. Special focus was placed on data regarding race, ethnicity, and proxies that help identify socioeconomic status (health insurance, residential zip code, Social Deprivation Index [SDI]). These were evaluated in relation to histology-based metrics from the Surveillance, Epidemiology, and End Results Program (SEER) Program with reported data through 2022. Here, our focus is to characterize baseline demographic and disparities data on the collection of these 32 NCTN lymphoma trials. Results: A total of 3,897 pts were included, with 3,406 non-Hodgkin lymphoma (87.4%) - 1,644 diffuse large B-cell (DLBCL, 48.3%), 905 follicular (26.6%), 669 mantle cell (19.6%), 113 primary central nervous system (3.3%), 75 T-cell (2.2%) - and 491 Hodgkin lymphoma (12.6%). Age at registration was available for 3,891 pts with median age 57.1 years (range: 18-92). The majority of patients were male (58.8%; one pt missing biological sex data). Race data were available for all but one patient, where most pts were white (W, 86.6%), followed by 246 African American (AA, 6.3%), 99 Asian (A, 2.5%), 13 American Indian or Alaska Native (AI, 0.3%), 8 Native Hawaiian or Pacific Islander (PI, 0.2%), 11 with more than 1 race reported (0.3%), and 145 with unknown/not reported race. Ethnicity data were unknown for 327 pts (8.4%) with 179 Hispanic or Latino (Hisp, 4.6%). Combined race/ethnicity data showed 3,010 non-Hisp white (NHW, 77.2%) and 219 non-Hisp black (NHB, 5.6%). For comparison, in the SEER database, 84.7% of all lymphoma cases were W, with 8.6% AA, 5.2% A/PI, 0.4% AI, and 1.1% unknown race, and with 13.9% of pts reported as Hisp. When focusing on the 804 pts enrolled on Alliance CALGB 50303 and ECOG-ACRIN 1412 studies, two randomized DLBCL studies, there was a more proportional representation of W and AA pts with DLBCL - 82.1% and 9.8% compared 84.6% and 7.7%, respectively, at SEER database, with 5.3% Hisp (with another 5.3% unknown) compared to 14.9% at SEER. Insurance information was missing in 113 pts. Of the remainder, 2,102 pts had private insurance only (55.6%), 549 with a mix of private and public (14.5%), 701 public only (18.5%, including 11.4% Medicare, 4.5% Medicaid, 0.8% both), and 166 self-pay (4.4%). Year-matched SDI score was available in 2,885 pts, where higher SDI scores = higher social deprivation. The total mean SDI score for the overall cohort was 42.5 with significant differences observed based on race/ethnicity and insurance type. Specifically, NHW were from less deprived areas (mean SDI=38.8) than NHB (66.4) or Hisp (65.5) (p<0.0001). Those without insurance (mean SDI=52.6) or only public insurance (48.9) were located in areas associated with greater deprivation compared to pts with private (40.1) or public+private (38.8) insurance (p<0.0001). Conclusion: To our knowledge, this is the largest retrospective catalog of racial, ethnic, and socioeconomic characteristics of pts with lymphoma enrolled on cooperative group therapeutic trials. The scope of NCTN cooperative group lymphoma studies provides a unique opportunity to assess novel therapeutic outcomes for patients representing racial, ethnic and socioeconomic subgroups with both common and rare lymphoma subtypes. From this resource, additional analyses on relationships between SDI, race/ethnicity, insurance coverage, disease subtype, and temporal trends will be presented. Support: U10CA180821, U10CA180882, UG1CA189823

Background: Although advanced stage cHL typically has excellent disease outcomes, 20-30% of patients (pts) experience treatment failure. In addition, decision-making is challenging given varying treatment options and incomplete prognostic data across the disease course. Pre-treatment factors, such as those incorporated into the Advanced Stage Hodgkin Lymphoma International Prognostication Index (A-HIPI), predict 5 year (y) overall survival (OS) and progression-free survival (PFS) (Rodday JCO 2023). Other than interim PET (iPET) results, it is unknown what factors influence cHL disease states mid-therapy. Using multistate modeling (MSM) and individual pt data from the HoLISTIC Consortium, we refined prognostication across the cHL disease course, specifically assessing the relationships between A-HIPI, iPET and end of treatment (EOT) response, and whether the A-HIPI and iPET provide independent prognostic information. Methods: We analyzed 1240 pts aged 18-65y with newly diagnosed Stage IIB, III or IV cHL treated on 2 advanced stage PET-adapted trials (RATHL, SWOG0816). All pts first received 2 cycles of ABVD; those with a negative iPET (Deauville score (DS) ≤3) received ABVD or AVD, and those with a positive iPET (DS >3) received BEACOPP. In contrast to other methods, MSMs incorporate multiple disease states into one model, account for censoring and competing risks, and estimate transitions between disease states using different covariates. Our MSM had 6 states: diagnosis, negative iPET, positive iPET, EOT non-progression (e.g., DS ≤ 3), treatment failure, and death. Treatment failure included progression or relapse. All pts start at the diagnosis state and can transition to other states without return to prior states. Transition states with <5 events were excluded. The MSM was estimated using a multivariable Cox model with censoring at 5y. Covariates were the 5y PFS A-HIPI (comprised of stage and continuous age, lymphocyte count and albumin), which was included for all transitions, and iPET, which was included for transitions from EOT non-progression and from treatment failure. Higher scores on the 5y PFS A-HIPI indicate lower risk of progression or death; the A-HIPI was modeled for a 1 standard deviation (SD) increase. We calculated probabilities of 5y treatment failure for 4 sample pts based on low (70) and high (85) A-HIPI scores, positive and negative iPET, and EOT non-progression. Results: Median age was 33y (Q1=25, Q3=45), 56% were male, 23% were stage IIB, 40% III and 37% IV, and mean A-HIPI was 77 (SD=7). Median follow-up was 75 months (Q1=53, Q3=92). At iPET, 80% (95% CI 78%, 83%) were negative and 16% (95% CI 14%, 18%) were positive. At EOT, 90% (95% CI 89%, 92%) were in the non-progression state. At 5y, 75% (95% CI 73%, 78%) were in the non-progression state, 16% (95% CI 14%, 19%) had experienced treatment failure, and 9% (7%, 11%) had died. Better A-HIPI scores (per SD) were associated with lower rates of transitioning from diagnosis to positive iPET (HR=0.80, p<0.01) and from positive iPET to treatment failure (HR=0.58, p=0.04). Better A-HIPI scores (per SD) were also associated with lower rates of transitioning from EOT non-progression to treatment failure (HR=0.78, p<0.01) and from treatment failure to death (HR=0.64, p<0.01), adjusting for iPET. Positive iPET was associated with an increased rate of transitioning from EOT non-progression to treatment failure (HR=1.90, p<0.01), adjusting for A-HIPI. The probability of 5y treatment failure for 4 sample pts was: 25% for low A-HIPI and positive iPET; 20% for high A-HIPI and positive iPET; 13% for low A-HIPI and negative iPET; and 12% for high A-HIPI and negative iPET. Conclusions: We created a novel MSM that refines prognostication across the cHL disease course by incorporating pre- and post-treatment factors (e.g., iPET) to estimate transitions to future disease states. Although the A-HIPI was developed using pre-treatment factors to predict 5y OS and PFS, we found that it was also associated with transitions to interim disease states, including iPET and EOT response. The A-HIPI and iPET each provided independent prognostic information, supporting the use of both in estimating cHL outcomes. Future analyses will develop clinical prediction models using MSMs that also incorporate varying frontline and salvage treatments and treatment-specific late effects, with the goal of providing individualized information across the disease course.

Mantle cell lymphoma (MCL) is a rare lymphoma with a median age at diagnosis of 60-70 years. Front line therapy has traditionally been bendamustine-rituximab (BR) in older patients and then Bruton Tyrosine kinase inhibitors (BTKi) for relapsed disease. Due to their efficacy, BTKi are now being combined with chemotherapy as induction treatment. The TRIANGLE trial of R-CHOP/R-DHAP +/- ibrutinib +/- transplant showed the benefit of adding a BTKi in young patients (Dreyling M, 2022). The SHINE trial, a phase III trial of BR +/- ibrutinib in patients >65 years, showed a significant improvement in median PFS (81 months vs. 53 months) (Wang M, 2022). However, this came with an increase in toxicity with more treatment related deaths in the ibrutinib arm (11% vs. 6%) and no difference in overall survival. Therefore, a better tolerated approach is still needed in older patients. A phase II study of rituximab + indefinite ibrutinib in 50 patients >65 years demonstrated efficacy of frontline BTKi with a 96% ORR and 71% CR (Jain P, 2021). However, a disadvantage of BTKi therapy is continuous treatment until disease progression or intolerance. In this study half of patients required dose reductions and almost a third of patients stopped treatment due to drug toxicity, most frequently atrial fibrillation or bleeding. If front line intermittent BTKi therapy is as effective as continuous therapy, it could minimize cumulative toxicity. A052101 (NCT05976763), an Alliance for Clinical Trials in Oncology trial, is a randomized phase 3 multicenter trial of upfront zanubrutinib that asks the question “in older patients with previously untreated MCL who obtain a CR with zanubrutinib-rituximab, is it safe and equally effective to stop treatment and restart it upon disease progression rather than continuing indefinitely?” The A052101 trial is enrolling pts with previously untreated MCL who are either >70 years old or 60-69 years old but are not transplant candidates due to cardiac ejection fraction <45%, DLCO <60% of predicted, creatinine clearance <70, Eastern Cooperative Oncology Group (ECOG) performance status of >2, or a Cumulative Illness Rating Scales score of >6. Key exclusion criteria include: history of a severe bleeding disorder or clinically significant cardiac arrhythmias. Patients will take zanubrutinib 320 mg daily and rituximab/rituximab biosimilar once monthly for 6 cycles. Patients with less than partial response after 6 cycles will go off study treatment. Patients with a complete remission will be randomized in a 1:1 manner to intermittent treatment versus continuous treatment. Randomization will be stratified by age (60-69 years vs ≥70 years) and MIPI score. Those randomized to the continuous arm will receive zanubrutinib until intolerance or disease progression. Those randomized to the intermittent arm will stop all study drugs after those initial 6 cycles and will restart zanubrutinib at first disease progression and continue it until intolerance or second disease progression. In order to make the study results generalizable to clinical practice, disease progression will be defined by clinical parameters rather than minimal residual disease testing. The primary objective of this study is to compare time from randomization to first progression or death (PFS1) in the continuous treatment arm to the time to second progression or death (PFS2) in the intermittent treatment arm. The primary evaluation will be to determine whether, for patients in a CR, active monitoring followed by retreatment with zanubrutinib therapy upon disease progression will result in non-inferior clinical outcomes compared to indefinite zanubrutinib. Serial quality of life testing and adverse event monitoring will be performed throughout the study to gain a full understanding of the impact of continuous vs intermittent zanubrutinib on patients' lives. A052101 has the potential to change management of older patients with previously untreated MCL. If our study demonstrates that the time to second progression/death when using the stop and retreat strategy is non-inferior to time to first progression/death when using continuous BTK therapy, then it might lead to a new standard of care in this patient population. This could result in decreased health care costs, decreased toxicity and improved quality of life for older patients with mantle cell lymphoma. Support: U10CA180821, U10CA180882; https://acknowledgments.alliancefound.org

Background: Approximately20% of patients with follicular lymphoma (FL) will experience disease progression or death within two years of years (POD24) of immunochemotherapy (IC) (Casulo et al, JCO 2015). A proportion of patients with POD24 have histologic transformation (HT), which heightens the risk of lymphoma-related death (Freeman et al, Blood 2019). To clarify the impact of HT on prognosis in POD24, we analyzed data from the Lymphoma Epidemiology of Outcomes (LEO) Consortium of Real-World Evidence (CReWE) to compare differences in outcomes among patients with POD24 with retained FL histology versus POD24 with HT. Methods: This was a multicenter study among 8 academic cancer centers. Eligible patients hadgrade 1-3a FL at diagnosis between 2003 and 2022, with POD24 following first line IC treatment with BR, R-CHOP, or R-CVP. POD24 was defined as disease recurrence within 24 months of IC. Patients with prior lines of treatment for FL were excluded. Patients with HT at first line IC were excluded. Biopsy at POD24 was obtained at the discretion of the treating physician. Three groups of POD24 were defined: POD24 with biopsy-proven retained FL histology (POD24_FL), POD24 with biopsy-proven HT to aggressive lymphoma (POD24_HT), and POD24 either without a biopsy or indeterminate histology on biopsy (POD24_I). We evaluated second-line treatments at time of POD24. Survival probabilities from second-line treatment initiation were estimated by the Kaplan-Meier method. Results A total of1,122 patients with FL were screened and308 patients with POD24 were identified.Median age at POD24 was 58 years (IQR 50-65).Among available data, race and ethnicity was reported as 76% non-Hispanic White, 3% non-Hispanic Black/African American, 9% Hispanic/Latino (any race), and 1% other minorities. First line therapy was R-CHOP in45% (140/308), BR in 33% (102/308) and R-CVP in 21% (66/308). Most patients (52%) had biopsy-proven retained FL at POD24 (162/308); 30% had no biopsy or indeterminate histology at POD24 (94/308), and 17% had biopsy-proven HT at POD24 (52/308). In the POD24_HT group, 52% received R-CHOP and 21% received intensive salvage chemotherapy as second line therapy. Patients with POD24_FL and POD24_I had similar rates of salvage chemotherapy (21% and 18%), BR (13% and 18%), R-CHOP (19% and 24%), and targeted therapies (8% and 5%), respectively, at second line. Consolidative autologous stem cell transplant was more common in POD24_HT patients at 21% versus 16% in POD24_FL and 6% in POD24_I. Patients with POD24_HT had significantly worse overall survival (OS) compared to POD24_FL (ref), with a hazard ratio of 3.79 (95% confidence interval [CI] 2.46-5.84), even after adjusting for age, FLIPI score, and first-line IC treatment. At 5 years, patients with POD24_HT had OS of 31% compared with an OS of 71% for patients with POD24_FL. Patients with POD24_I had similar outcomes to those with POD24_FL (5-year OS 75% versus 71%, respectively). Event-free survival (EFS) was also significantly lower in POD24_HT compared to POD24_FL: At 2 years, EFS was 27% for POD24_FL (21-35%) and 10% for POD24 _HT (4-23%). At 5 years, lymphoma remained the leading cause of death among patients with POD24, with 20% probability of lymphoma-related death in those with POD24_FL (95% CI 14.2-27.8) compared to 53% probability of lymphoma-related death in patients with POD24_HT (95% CI 40.6-70.7). Conclusions: In our multicenter cohort, we identified remarkable differences between the two biopsy-demonstrated entities of POD24 (i.e., with and without HT). Patients without a biopsy or indeterminate histology had similar outcomes as those with POD24_FL. Patients withearlyrelapse of FL after first-line IC remain a heterogeneous group with poor outcomes and a heightened risk of lymphoma-related mortality particularly compared with nonPOD24 groups. Even with retained FL histology, patients with POD24 had 20% probability of lymphoma-related death within 5 years of second-line treatment initiation. We demonstrate that poor survival is driven in part, but not entirely, by HT. Despite most patients receiving appropriate aggressive treatment, those with POD24_HT represent a distinctly vulnerable population warranting further study in directed prospective studies of both FL biology and clinical trials.

Background: Due to recent advances, patients with follicular lymphoma (FL) have multiple treatment options with high response rates and durability. However, there is a gap in understanding how patient preferences influence treatment selection. To close this gap, we conducted a qualitative study using focus groups of adults with FL to understand their knowledge of treatment options, priorities, and decision-making process. We designed this study to inform the content of a planned discrete choice experiment in a larger population of patients with FL to better understand patient preferences and trade-offs around treatment delivery, side effects, outcomes, and quality of life. Methods: We conducted focus groups lasting 60-90 minutes, each with 3-5 participants recruited from the Lymphoma Epidemiology of Outcomes (LEO) Cohort Study. The LEO Cohort Study is a multi-institutional prospective cohort study of newly diagnosed adults with non-Hodgkin lymphoma from July 2015 to present. Each focus group was co-led by two investigators (U.D. and M.T.) and conducted using Zoom video technology. Participants were asked to comment on their understanding about FL and available treatments, their ideal treatment, their decision-making process about prior therapies, and quality of life and side effects associated with treatment. We performed exploratory content analysis of participant understanding of FL and their treatment preferences. We will continue to conduct focus groups until we reach thematic saturation, which we anticipate will occur with one additional focus group. Themes from all focus groups were identified and agreed upon by both investigators (U.D. and M.T.) and were verified by additional investigators (J.D., M.L, M.H., B.K.L, C.C., M.M.). Results: To date, we conducted five focus groups with a total of N=21 participants (median age 60 [range 41-88], 66.7% female, 71.4% non-Hispanic White, 14.3% Hispanic, 9.5% Asian, 4.8% Black/Hispanic). We identified the following themes and representative quotes: 1) Holistic approach:Participants wanted their oncologists to view their care from a holistic perspective, discussing their individual priorities and options that would accommodate their fitness routine and ability to work. “[I wish] if doctors can consider not just the physical choices, but also the mental and emotional choices as well, the holistic person.” - Participant 13 “There's zero chance I can go back to working in the type of career where other people rely on me for things. I can't keep things straight.” - Participant 16 2) Ideal treatment:An ideal treatment would limit impact on fatigue, cognitive function, and have minimal toxicity to preserve quality of life and an active lifestyle. “I would say something that has minimal impact on daily life would be ideal and something that would make you feel better.” - Participant 6 3) Shared decision-making: Participants wanted to be better informed about available treatment options and often utilized second opinions to inform their decisions. “It helped to get the second opinion versus not. It would've been a completely different set of events.” - Participant 17 4) Treatment burden:Financial impact and effort required by patients to receive care (e.g., travel, number of office visits, and duration of therapy) were key factors in patient decision-making. “Part of my quality of life went down because I had to fight with my insurance company consistently, and we pay a lot of money.” - Participant 11 “Really explain the time options and calendarize the treatment and be more specific about the amount of time that you're going to spend at the hospital and the process.” - Participant 20 5) Representation: Minority participants raised concerns about not knowing if the available treatment data pertained to them. “[My end-goal would be] having an understanding of how the treatment is going to be for minority people. Many times the treatments are tested, they are not tested for minorities.” - Participant 21 Conclusions: The patient perspective is critical for treatment decision-making and education. People living with FL expressed a desire for a holistic and individualized approach to treatment decision-making that incorporated their lifestyle, minimized side effects, and limited overall treatment burden. These focus groups identified emerging themes that warrant further investigation for survivors with FL.

Abstract Progression of disease within 24 months of initial immunochemotherapy (POD24) is a negative prognostic factor for patients with follicular lymphoma (FL). There is no standard treatment after POD24. Assembling an academic-based cohort from the Lymphoma Epidemiology of Outcomes Consortium for Real World Evidence, we evaluated patterns of care and outcomes for 220 patients with FL with POD24 and retained FL histology. Therapy after POD24 was heterogeneous, with no treatment category accounting for >25% of the total. Among patients initially treated with bendamustine-rituximab, rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone (R-CHOP) was the predominant second-line choice (48%). Among patients initially treated with R-CHOP, aggressive salvage therapy was the predominant second-line choice (38%). Overall response rate to therapy after POD24 was 64% (95% confidence interval [CI], 56-70); complete response rate was 39% (95% CI, 32-46). The median event-free survival for therapy after POD24 was 9.8 months (95% CI, 7.3-12.1); 5-year overall survival (OS) was 71% (95% CI, 65-78). OS was inferior for patients aged >70 years (hazard ratio [HR], 2.31; 95% CI, 1.27-4.20) and those with high-risk FL International Prognostic Index scores at diagnosis (HR, 2.10; 95% CI, 1.23-3.60). No treatment category stood out with more favorable results. Cause of death was predominantly lymphoma related. Patients with follicular histology at their POD24 event had a low cumulative incidence of transformation (1.1% at 5 years). Our study is among the largest cohorts describing contemporary patterns of care for patients with POD24, providing a focused data set useful for interpreting and designing prospective clinical trials in this population.

Abstract Recent introduction of 2 different lymphoma classifications has raised concerns about consistency in diagnosis, management, and clinical trial enrollment. Data from a large cohort reflecting real-world clinical practice suggest that differences between the classifications will affect <1% of non-Hodgkin lymphomas.

7012 Background: DLBCL with expression of MYC and BCL2 (double expressor lymphoma, DEL), has an adverse prognosis. Venetoclax, an inhibitor of BCL2, was previously studied in combination with R-CHOP. A051701 is a phase II/III randomized trial of chemoimmunotherapy +/- venetoclax in DEL and double hit lymphoma cohorts. Here we report initial phase II results from the DEL cohort. Methods: Patients (pts) age ≥ 18 years (y) with untreated DEL were randomized 1:1 to R-CHOP (Arm 1) or R-CHOP-venetoclax (Arm 2). DEL was defined as MYC expression ≥40% and BCL2 expression ≥50%, without double hit cytogenetics. Enrollment was based on local pathology results that were centrally confirmed. Venetoclax 800 mg was given orally days 4-8 of cycle 1 and days 1-5 of subsequent cycles for up to 6 cycles. All cycles were supported by GCSF or peg-GCSF. The primary endpoint was progression-free survival (PFS) with 84% power to detect a HR of 0.518 corresponding to 2y PFS rate of 65% in Arm 1 and 80% in Arm 2 (1-sided α=0.20). Results: 119 DEL pts were enrolled: 60 Arm 1; 59 Arm 2. Analyses were performed for the modified intent-to-treat population, defined as eligible pts with confirmed DEL histology (n=113; 56 Arm 1, 57 Arm 2). Median age was 64 y (range 22-85); baseline demographic factors were well balanced except for advanced stage (more common in Arm 1; (77% vs 60%, p=0.051). Most pts were non-germinal center B cell-like by immunohistochemistry (Arm 1 72%, Arm 2 58%), high-intermediate/high risk IPI (Arm 1 54%, Arm 2 51%) and ECOG performance status 0-1 (Arm 1 95%, Arm 2 86%). BCL2 rearrangements were detected in 25% and 33% of pts on Arm 1 and Arm 2, respectively. Most pts completed therapy per protocol (84% Arm 1, 75% Arm 2). Median follow up is 27 months (m). No difference in PFS was observed with 12-m PFS estimates of 77% in Arm 1, 76% in Arm 2 [HR = 0.98 (95% CI: 0.48 – 2.01), p=0.95]. The end of treatment (EOT) overall and complete response rates among patients with an EOT assessment were 87.5% and 70% in Arm 1, and 90% and 82% in Arm 2. Overall survival (OS) was not statistically significantly different with 12-mo OS estimates of 94% in Arm 1 and 79% in Arm 2 [HR = 1.27 (95% CI: 0.57 – 2.79), p=0.56]. Grade ≥3 adverse events (AEs) occurred more frequently in Arm 2 (42% vs 76%). The most commonly increased grade ≥3 AEs included neutropenia (20% vs 47%), anemia (4% vs 25.5%), thrombocytopenia (5.5% vs 24%), febrile neutropenia (7% vs 16%) and fatigue (0% vs 11%). No grade 5 AEs on treatment were reported on Arm 1, and 3 were reported on Arm 2 (lung infection and sudden death NOS, both possibly related; respiratory failure, unlikely related). Conclusions: Adding venetoclax to R-CHOP in DEL pts did not improve PFS and resulted in increased toxicity. The study did not meet its primary endpoint in phase II, and so did not proceed to phase III. Clinical trial information: NCT03984448 .