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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.

In 2023, Mayo Clinic in Rochester, MN, cared for over 20,000 patients with hematologic malignancies, roughly 42% of whom were rural. Patients residing in rural areas can face challenges in access to care, financial and time burdens due to treatment-related travel, and limited opportunities to participate in clinical trials. In 2021, The Leukemia & Lymphoma Society launched its IMPACT (Influential Medicine Providing Access to Clinical Trials) grant with Mayo Clinic being among its first recipients. The program provides funding to major cancer centers, in partnership with local community oncology centers, to help increase participation of patients traditionally underrepresented in clinical trials, including those who are rural, minority and/or economically disadvantaged. The award allowed significant changes to be made to clinical trial selection and facilitation models increasing access to trials within the rural setting and reducing the socioeconomic barriers noted above. This program included Rochester (IMPACT Hub) and Mayo Clinic Health System (MCHS) sites in Albert Lea, MN (65 miles to Hub), Eau Claire, WI (96 miles to hub), La Crosse, WI (73 miles to Hub), and Mankato, MN (84 miles to Hub). Methods: Two models were deployed; the full activation model where clinical trials were fully opened at MCHS sites, and the hybrid model where clinical trial participants are consented at the Hub and portions of participant care are conducted at MCHS sites. Initial barriers included limitations in clinical trials support staff, insufficient specimen processing equipment, medication storage and shipping limitations, MCHS catchment population unalignment with the Hub trials portfolio, and reduced bandwidth of providers due to patient care responsibilities. To address barriers to trial conduct, community center site champions were identified to streamline trial review and increase collaboration to better define site catchment areas, trial constraints, and site needs. A feasibility specialist was hired to support the program in trial design/implementation, barrier tracking, and to serve as a liaison between community site providers, study staff, and the program. Results: Since 2021, 20 clinical studies including 14 interventional treatment trials have been activated demonstrating 108 total patients accrued with 42 interventional accruals; 5 within the full activation model (13 accruals) and 15 in the hybrid model (29 accruals). Patients showed an average of 216 miles, with an estimated mileage cost of $142/trip based on the 2023 IRS mileage rate of $0.655/mile to the hub location. Nine of those patients traveled over 260 miles, with an estimated mileage cost of $170/visit to access clinical trials. Under the hybrid model, 8 patients transitioned portions of their care to their home city resulting in reduction of an average of 155 miles/visit, and 7 patients were able to reduce their travel time an average of 216 miles/visit. By estimating at least 10 study visits, the travel burden was reduced by 2,160 miles (4320 driving hours) and $1,420 in driving costs alone for participants. Using participant averages the 108 patients would spend a total of $15,336 in travel costs for just the initial visit, but when factoring in the 10-visit estimate, travel reduction could result in a net savings of $153,360. Based on travel data, it is estimated 11 of these patients would have required overnight accommodation using an average of $149/night hotel stay, a savings of $1,490/patient is estimated for the lifecycle of trial participation or $16,390 for the 11-patient cohort requiring accommodation. These results do not include travel companion and time off work costs. Efforts have been made to further develop the full activation model and 5 clinical trials are in activation. Data gathered from the program is being used to design strategies to reduce the administrative burden of clinical trial participation for community providers and launch screening programs. Conclusion: The Mayo Clinic LLS IMPACT program has demonstrated success in addressing barriers to opening clinical trials in the community-center setting and reduced the travel burden and financial impact to clinical trial participation in a cohort of trial participants. Centralized hub support of study activation and conduct and decentralized care to support treatment of patients in proximity of their home can be extended to other hospital systems and settings.

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 TP53 alterations (TP53+) are seen in <5% of patients (pts) with chronic myeloproliferative neoplasms (MPNs) but are more common in accelerated/blast phase (MPN-AP/BP) [Luque Paz D, et al 2020]. While pts with low-burden TP53+ (Variant allele frequency (VAF) <5%) may remain stable for years [Kubesova et al, 2018]; biallelic loss of TP53 is thought to confer higher risk for progression [Li et al, 2022] and worse overall survival (OS) than non-TP53+ pts [Rolles et al, 2023]. However, TP53 abnormalities have not been incorporated into currently utilized molecular based prediction models (MIPSS or MIPSS70) or compared with currently validated high molecular-risk (HMR) mutations (mut). We report the outcomes of the largest cohort of TP53+ MPN pts to date in comparison with HMR mut, and identify a VAF cut-off associated with highest risk of progression to MPN-AP/BP. Methods We retrospectively reviewed 2583 MPN pts from Mount Sinai Hospital (MSH) and Memorial Sloan Kettering Cancer Center (MSK) with at least one next generation sequencing (NGS) performed. Deidentified data from an additional cohort of 8 TP53+ MPN pts was received from University of Miami Sylvester Cancer Center (UMiami). Patient characteristics such as MPN subtype, gender, age at MPN diagnosis, driver mutation, thrombosis history were recorded. We also recorded date of transformation to MPN-AP/BP, dates of NGS testing, mutational and cytogenetic data, and survival status. We defined multi-hit TP53 as presence of =/>2 TP53mut, VAF > 50% or TP53 mutation + 17p deletion. Additional cohorts of pts with HMR mut (ASXL1, EZH2, IDH1/2, U2AF1, SRSF2 as per MIPSS70v.2) from MSH and non-TP53+ pts from the MPN-Research Consortium Tissue Bank were used as comparator arms. Patient characteristics were compared between TP53 single-hit and multi-hit using Chi-Sq test for categorical variables and Kruskal-Wallis test for continuous variables. Cumulative incidence function and Kaplan-Meier method were used to compare leukemic transformation and OS, respectively, between groups. Successive VAF levels with minimum groups of 25% of the total cohort were used to identify an optimal VAF cut-off. Results Of the 2583 MPN pts from MSH and MSK, 66 pts (2.6%) were found to have a TP53 mutation. Including 8 additional pts from UMiami, we analyzed a total of 74 TP53+ MPN pts; 40 single-hit and 34 multi-hit. Median age at MPN diagnosis was 61 years with a male predominance (60%). Distribution of driver mut was similar in single-hit vs multi-hit cohort with JAK2V617F being the most common (58%), whereas 11% of pts had triple negative disease . Thrombotic history was available for 45 TP53+ pts, with a high frequency of venous/arterial thrombosis (21/45 or 46.7%) in the TP53+ group as compared to 18.5% in the non-TP53+ MPN cohort (p= 0.0001). A significantly higher number of multi-hit TP53+ pts had a concurrent complex karyotype (79% vs 24% in single-hit; p<.001). MPN diagnosis at the time of detection of TP53+ was ET/PV (25.7%), MF (44.6%), MDS/MPN overlap syndrome (6.8%), MPN-U (2.7%) and MPN-AP/BP (20.3%), respectively. One or more genetic samples with TP53+ was available prior to transformation to MPN-AP/BP in 77% of pts (21/34 multi-hit; 36/40 single-hit) while a TP53+ was detected at the time of MPN-AP/BP diagnosis in the rest. Multi-hit TP53+ was associated with a significantly higher incidence of transformation to MPN-AP/BP as compared to single-hit; [65% vs 17.5%; HR=4.08 (1.71-9.71), p=0.0015]. Compared with HMR mut, multi-hit (HR=2.41; p=0.004) but not single-hit (HR=0.53; p=.277) TP53+ MPN pts were found to have a significantly increased risk of MPN-AP/BP transformation. One-year OS from the time of mutation detection was significantly inferior for both multi-hit (53.3%) and single-hit (75%) TP53+ pts as compared to HMR mut (98.8%, p=<.001). Cut-point analysis identified VAF >36% to be associated with the highest risk of transformation (HR=3.08) with lowest p-value (0.002). Conclusions Multi-hit TP53 alterations are associated with a significantly increased risk of leukemic evolution as compared to previously validated HMR mut, whereas both multi and single-hit TP53 mut are associated with worse OS highlighting the importance of TP53 in MPN disease progression.

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

Introduction: T-PLL is a rare, aggressive malignancy with poor prognosis and limited therapies. Outside of prospective trials utilizing alemtuzumab, data is derived primarily from small retrospective series, and limited data on survival outcomes and therapeutic efficacy, particularly beyond frontline therapy are available. In this large multi-center series, with comprehensive clinical data, we evaluated survival and therapeutic outcomes in T-PLL patients, with a focus on identification of prognostic subgroups of T-PLL, that will inform future investigations into the biology and treatment of this disease. Methods: We retrospectively evaluated all patients diagnosed with T-PLL at 15 academic cancer centers throughout the USA between 2000-2023 using the recent TPLL-ISG staging and response criteria with overall response rate (ORR) defined as CR and PR. Overall survival (OS) and progression-free survival (PFS) were assessed using Kaplan-Meier methods and cox proportional hazard models. Single-cell RNA sequencing (scRNAseq) was performed using the standard 10X Genomics platform. Results: 377 patients, with a median follow-up time of 29 months (range: 0-196) were evaluated. The median age at diagnosis was 64 and 51% were male. In evaluated patients (n=223), TCL1A was positive by cytogenetics or FISH in 82%. 61% of patients had CD4+CD8- T-PLL, 11% of patients had CD4-CD8+ T-PLL, and 24% of patients had CD4+CD8+ T-PLL, with 4% unknown. 175 patients (46.4%) had known nodal involvement at diagnosis identified by PET or CT scan. Among treated patients (n=342, 91%), using TPLL-ISG criteria, the ORR to any frontline treatment was 67% (49% CR, 18% PR). Median OS and PFS was 19 months and 10 months in responding patients from the start of treatment initiation. For those treated with frontline alemtuzumab (n=250), the ORR was 74% (58% CR), with a median OS and PFS of 18 and 12 months. 20 patients (5%) were treated with a combination of alemtuzumab/pentostatin frontline with an ORR of 85% (70% CR), which was superior to alemtuzumab alone (ORR 74%, 58% CR). Patients that had frontline chemotherapy (excluding pentostatin, n=48) had a worse ORR of 35% (15% CR) (p<0.001), and a worse PFS of 4 months (p=0.002), when compared to those who received alemtuzumab. Among patients in 1st CR/PR (n=226), 44% (n=99) received an allograft and had an improved 3-year OS of 50% vs 17%, (HR=0.67, 95%CI 0.48-0.93), and 50% improvement in PFS (HR 0.48, 0.33-0.68) compared to those who did not receive an allograft. For patients that received second line treatment (n=176, 52%), re-treatment with alemtuzumab (n=33) produced a 46% ORR (21% CR). Other active second-line treatments included: pentostatin (n=23; 44% ORR, 17% CR), ruxolitinib-based regimens (n=4; 25% ORR, 0% CR), venetoclax-based regimens (n=13; 39% ORR, 8% CR), bendamustine (n=10; 30% ORR, 0% CR), and nelarabine (n=4; 75% ORR, 50% CR). In subgroup survival analysis, TCL1A+ patients had a worse OS and PFS when compared to TCL1A- patients (23 months vs 43 months; p=0.02), and (14 months vs 24 months; p=0.02) respectively, with HR 1.58 (1.08, 2.31) (p=0.02) for OS and HR 1.62 (1.09-2.40) (p=0.02) for PFS. Furthermore, CD4- T-PLL had worse OS (16 months vs 25 months) when compared to CD4+ patients [HR 1.57 (1.08, 2.27), p=0.02]. Single cell RNA seq in 13 patients, including 3 TCL1A- patients, with a total of 66,269 T-PLL cells, demonstrated a unique RNA signature between the CD4+/- and TCL1A+/- patients, suggesting these represent unique molecular subtypes of T-PLL. Conclusions: In this large, multi-center study of T-PLL, frontline treatment with a combination of alemtuzumab/pentostatin improved response rates and OS. Further, among patients who attained a CR, allograft improved OS & PFS vs no allograft. In relapsed T-PLL, retreatment with alemtuzumab had a high ORR, and we report significant activity of multiple novel/alternative agents with the largest reported numbers to date. Intriguingly, TCL1A+, and CD4- T- PLL had worse OS/PFS, and scRNAseq confirmed unique molecular signatures in these populations, suggesting these represent novel molecular subtypes of T-PLL with prognostic significance. These studies form the foundation for future, targeted, therapeutic studies in this rare, aggressive disease with few treatment options.

Introduction Poor diet quality, elevated body mass index (BMI), insulin resistance, microbiome dysbiosis, inflammation as well as immune dysfunction have all been implicated in progression from monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM) to multiple myeloma (MM). Plant-based diets have been associated with reduced risk of MGUS and MM in epidemiological studies. Whether a dietary intervention can impact these modifiable risk factors and delay disease progression has not been investigated. Methods We conducted a pilot, single-arm trial providing controlled high fiber plant based dietary (HFPBD) intervention for 12 weeks and health coaching for 24 weeks in 20 patients with MGUS/SMM with BMI≥25 (NCT04920084). The primary endpoint was feasibility (adherence and BMI reduction). Secondary and exploratory endpoints included quality of life, metabolic markers (insulin, adiponectin, leptin, LDL cholesterol), microbiome (diversity and composition by 16S and shotgun sequencing) and immune profiling in peripheral blood (flow cytometry and Olink inflammation panel) and bone marrow (scRNAseq and ATACseq). We also conducted an in vivo study in transgenic Vk*MYC mice fed a high fiber or control diet at the phase of mouse(m)SMM. The mice were monitored for the progression to active mMM. Differences in microbiome and immune response profiles between high fiber- and control-treated mice were assessed via microbiome 16S sequencing and flow cytometry. Results The HFPBD intervention was safe, feasible, improved quality of life and addressed modifiable risk factors - metabolic profile (improved BMI, insulin resistance, adiponectin leptin ratio), microbiome profile (increased alpha-diversity and butyrate producers) and immune (decreased inflammation and increased anti-inflammatory classical monocyte) subsets. A reduction in long-term progression trajectory was observed in 2 patients. Consistently, the high fiber diet delayed progression from mSMM to mMM in Vk*MYC mice increasing median progression-free survival from 12 weeks in the control arm to 30 weeks in the high fiber diet intervention arm. Additionally, in the intervention arm 40% of mice did not progress to mMM during the study period whereas all mice in the control arm progressed. Both human and mouse data showed that HFPBD modulated gut microbiota composition favoring the expansion of butyrate-producing bacteria. Additionally, short-chain fatty acids were increased in the feces of mice fed a high fiber diet. Integrated analysis from human bone marrow and peripheral blood analysis indicated that the dietary intervention reduced inflammatory biomarkers and skewed the immune response towards T helper and CD14+ monocytes. Consistently, the bone marrow of Vk*MYC mice fed high fiber diet was more infiltrated by IFNg-producing T lymphocytes while displaying less exhausted T cells and immunosuppressive myeloid cells. Conclusion This is the first interventional clinical trial and in vivo study to show that a HFPBD intervention may delay progression from MGUS/SMM to MM. To our knowledge there has been no similar dietary interventional study in hematological cancers or solid tumors. Together our in vivo and clinical data support the beneficial anti-inflammatory role of a HFPBD providing a link between diet, microbiota, and immune modulation to delay disease progression in MGUS/SMM.

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.