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Introduction: GOLCA is a potential first-in-class oral cereblon E3 ligase modulator (CELMoD™) agent for non-Hodgkin lymphoma, purposefully designed to target Ikaros/Aiolos and have favorable pharmacokinetics, resulting in apoptotic and immunomodulatory activity with preferential distribution to lymphoid organs. CC-220-DLBCL-001 (NCT04884035) is an ongoing phase 1b, open-label, multicenter, dose-escalation/expansion trial to assess safety and preliminary 1L GOLCA + R-CHOP efficacy in a-BCL. Although longer follow-up is needed to assess durability of response, MRD negativity (MRD-) is an emerging endpoint in a-BCL. Achieving MRD- on and at end of treatment (EOT) can potentially predict clinical benefit. This study aimed to analyze circulating tumor DNA (ctDNA) kinetics of GOLCA + R-CHOP across the trial population and in defined patient (pt) segments-cell of origin (COO), high baseline ctDNA, and high-risk genomics-and to correlate MRD- with imaging and clinical outcomes. Methods: Eligible pts were ≥ 18 years of age with ECOG performance status ≤2, IPI 0-5 in Part 1 and 2-5 in Part 2, and untreated a-BCL with measurable disease. Pts were treated with GOLCA + R-CHOP for 6 x 21-day (D) cycles (C) or until disease progression/unacceptable toxicity/study withdrawal. Dose escalation phase GOLCA dose levels (DLs) were 0.2 mg D1-7 (DL-1), 0.4 mg D1-7 (DL1), or 0.4 mg D1-10 (DL2). During dose expansion, pts were randomized 1:1 to R-CHOP + GOLCA DL-1 or DL1. The primary endpoint was safety of GOLCA at DL1; efficacy was a secondary endpoint, ctDNA was an exploratory endpoint. ctDNA was analyzed using the PhasED-Seq assay (<10-6 sensitivity) at baseline, C2D1, C3D1, and EOT. MRD- was defined as the absence of detectable ctDNA on-treatment. Pretreatment biopsies were sequenced by whole genome sequencing (WGS) and whole transcriptome sequencing (WTS). Results: At data cutoff (June 3, 2024), the median follow-up was 14.3 months. One-year progression-free survival (PFS) was 85.3% at 0.4 mg and 77.3% at 0.2 mg. Rates of MRD- increased over time but were consistently higher at 0.4 vs 0.2 mg, with values of 44% (14/32) vs 29% (8/28) at C2D1; 63% (17/27) vs 54% (15/28) at C3D1, and 90% (26/29) vs 73% (19/26) at EOT, respectively. Interim MRD- at C3D1 strongly predicted EOT MRD-; all 0.4 mg pts and all but two 0.2 mg pts who were MRD- at C3D1 remained MRD- at EOT. In contrast, fold-changes from baseline ctDNA were similar between 0.4 mg and 0.2 mg. The early molecular response rate (≥102-fold drop from baseline at C2D1) was 81.2% (26/32) at 0.4 mg and 82.1% (23/28) at 0.2 mg. The major molecular response rate (≥102.5-fold drop from baseline at C3D1) was 88.9% (24/27) at 0.4 mg and 85.7% (24/28) at 0.2 mg. Across genetically defined pt segments, EOT MRD- at 0.4 mg was prevalent for both COO subtypes measured by the Hans algorithm: 94% (17/18) among germinal center B-cell (GCB) and 75% (6/8) among non-GCB pts. Of the 29 pts with baseline genomics, 13 were genomically high risk: p53 mutant (VAF >0.5), DZsig and/or A7 subtype. In these pts, EOT MRD- was 80% (4/5) at 0.4 mg but only 20% (1/5) at 0.2 mg. In high baseline ctDNA (>102.5 hGE/mL) pts who were high-risk for R-CHOP failure, EOT MRD- at 0.4 mg was 86.7% (13/15) vs 57.1% (8/14) at 0.2 mg. There was an association between high baseline ctDNA and lower PFS at 0.2 mg (HR, 4.56 [95% CI, 0.53-39.12]), but interestingly the association decreased at 0.4 mg (HR, 2.10 [95% CI, 0.19-23.5]). Combining both arms, MRD- at both C3D1 and EOT trends with improved PFS (C3D1: HR, 0.73 [95% CI, 0.2114-2.523]; EOT: HR, 0.53 [95% CI, 0.1103-2.592]); longer follow-up may be required to demonstrate significance. Conclusions: Interim and EOT levels of MRD- were higher at 0.4 mg vs 0.2 mg GOLCA, with a one-year PFS of 85.3% vs 77.3%, respectively. Although pt numbers were small, the data suggest that 0.4 mg is efficacious in high-risk ctDNA and high-genomic risk pts, independent of COO, and support the 0.4 mg GOLCA + R-CHOP regimen in the randomized phase 3 trial GOLSEEK-1. Interim MRD- may play a role in future adaptive trial designs.

Background: The majority of patients respond to steroid treatment for graft-vs-host disease (GVHD), but the typically high doses and prolonged courses can cause substantial morbidity. GVHD can be classified at onset into two groups with significant differences in treatment response and non-relapse mortality (NRM) by clinical criteria (Minnesota risk) but the more favorable standard risk group still experiences high rates of treatment failure and NRM [MacMillan, BBMT 2015]. We previously validated a serum biomarker-based (ST2+REG3α) risk stratification system, MAGIC algorithm probabilities (MAPs), that can stratify patients both at initiation and during treatment into risk groups for treatment response and NRM [Hartwell, JCI Insight 2017, Srinagesh, Blood Adv 2019]. GVHD that is Minnesota standard risk and has a low MAP (i.e., Ann Arbor 1) at start of treatment represents a low risk group with >80% response rate to steroids and ~10% NRM [Etra, Blood 2023]. We hypothesized that serial monitoring of GVHD symptom severity and MAPs twice (days (d) 7 and 14) in patients with clinical and biomarker defined low risk GVHD could further stratify patients into clinically meaningful groups. Methods: We retrospectively determined MAPs at d7 and 14 in 450 patients with low risk GVHD who participated in a prospective, multi-center, observational trial and were treated with systemic steroids between 2015-2023. MAPs <0.291 at days 7 and 14 were defined as low risk based on a previously validated threshold [Major-Monfried Blood 2018]. Clinical responses were scored as complete (CR), partial (PR), or non-response (NR) by standard criteria. Initiation of second line therapy was considered NR. Patients were categorized into three groups (A-C) based on clinical responses and MAPs at days d7 and 14. A: CR/PR by d14 and low MAP at both d7+14; B: stable or worse GVHD (NR) by d14 with low MAP at both d7 and 14; C: any response with a high MAP at d7 or 14. The endpoints were clinical response at day 28 (overall response rate, ORR=CR or PR), regardless of earlier response status, and 6-month NRM. Results: The median age of the study population was 54 years (range: 0-79); 19% of patients received PT-Cy for GVHD prophylaxis. Target organ involvement was skin ± upper GI (66%), lower GI (23%), isolated UGI (11%), and skin+liver (1%), and GVHD severity was grade I (35%), II (61%), and III (4%) at start of treatment. Patients in group A (n=310, 69%), clinical responders with low MAPs through day 14, had excellent d28 ORR (93%) and very low NRM (4%). GVHD in this group was considered ultra-low risk (ULR) and subset analyses revealed highly consistent d28 ORR and NRM, regardless of target organ severity, age (<18, 18-59, >60), HCT-CI score, conditioning intensity, and GVHD prophylaxis. Group B patients comprised clinical non-responders with low MAPs through day 14 (n=112, 25%); half of them responded by d28 and their NRM was low (8%), albeit double that of group A (p=0.079). Group C was small (n=28, 6%) and included both clinical responders (n=20, 4%) and clinical non-responders (n=8, 2%) who had at least one high MAP through day 14. Their d28 ORR was 54% but NRM increased four-fold (32%) and was significantly worse than patients who maintained low MAPs regardless of clinical response (p<0.001). Conclusion: Serial monitoring by clinical response and biomarkers during the first two weeks of treatment identifies a small number of high risk patients whose GVHD is initially low risk (group C). This group experiences high NRM regardless of clinical response to steroid treatment and may benefit from treatment escalation. Patients with low risk GVHD who do not have an early clinical response to steroids but maintain low MAPs, (group B) have reasonably good long-term outcomes with standard treatment. Finally, serial monitoring identifies a very large subset of patients with ULR GVHD (group A) who respond exceptionally well to standard treatment and experience very low rates of 6-month NRM regardless of pre-transplant characteristics and GVHD prophylaxis. Such patients may benefit from treatment de-escalation strategies such as shorter courses of lower dose steroids, a strategy we are currently testing in a clinical trial (NCT05090384).

Background Endpoints for GVHD treatment trials use early response (i.e, day (D)28 of treatment) as a surrogate for long term survival. Overall response (OR) that combines complete (CR) and partial responses (PR) at day (D) 28 is the conventional endpoint for primary acute GVHD trials because of similar survival outcomes between CR and PR. D28 OR ignores symptom severity at baseline and D28, however, and the PR category encompasses a wide range of responses from minimal improvement to near complete resolution of symptoms. D28 OR is the only endpoint currently approved by the FDA for efficacy, but it has not been re-evaluated as an endpoint for primary treatment (1L) in fifteen years and little is known regarding the prognostic value of D28 OR as an endpoint for second line treatment (2L) of GVHD. We hypothesized that refinement of the current D28 OR criteria, particularly through recategorization of PR in the GI tract, the main driver of nonrelapse mortality (NRM), would more accurately reflect disease control and better predict survival outcomes than current D28 response. Methods The Japanese Society for Transplantation and Cellular Therapy (JSTCT) collaborated with the Mount Sinai Acute GVHD International Consortium (MAGIC) to develop and validate D28 refined response (RR) criteria for 1L and 2L treatment (tx) in patients with Grades II-IV acute GVHD. To maximize the correlation between treatment success (i.e, response) with long term survival, our primary measured metric was the negative predictive value (NPV). We first randomly divided the 1L tx cohort of JSTCT into the training (n=2341) and validation sets (n=1156). In the training set we used a classification and regression tree (CART) algorithm to generate RR criteria that predicted 6-month (mo) NRM based on symptoms both at tx onset and D28. We then compared the two D28 response endpoints (RR vs OR) as surrogates for 6-mo NRM in two validation sets of both 1L tx (JSTCT: n=1156; MAGIC: n=1141) and 2L tx (JSTCT: n=510; MAGIC: n=196). Results The CART algorithm defined a RR as GVHD Grades 0/I at D28 without additional tx; all other D28 grades were considered refined nonresponses. As expected, RR successfully stratified the risk of 6-mo NRM in both 1L tx validation sets (JSTCT: 8% vs 38%, p<0.01; MAGIC: 9% vs 37%, p<0.01). We defined a discordant nonresponse as a nonresponse by RR criteria but a response by OR criteria, which accounted for the majority (~75%) of differences between RR and OR. 6-mo NRM in discordant nonresponders was four fold higher than in responders (JSTCT: 35%; MAGIC: 30%). The large majority (>80%) of discordant nonresponders had persistent GI GVHD at D28. Because the proportion of discordant nonresponders was small (<7% of the total population) in the 1L setting, the improvements of an already high NPV were small (JSTCT: 93% vs 91%; MAGIC: 91% vs 90%). In the 2L tx validation sets, RR also stratified the risk of 6-mo NRM (JSTCT: 26% vs 56%, p<0.01; MAGIC: 13% vs 55%, p<0.01). At the time of 2L tx, the discordant nonresponders are more common and half of the discordant nonresponders experienced 6-mo NRM (JSTCT: 45%; MAGIC: 59%); as a result, RR achieved much higher NPVs than OR (JSTCT: 75% vs 66%; MAGIC: 87% vs 76%). Deaths in responders from acute GVHD (vs. other causes such as infection) were more frequent in OR than RR in both 2L tx validation sets (JSTCT: 41% vs 20%; MAGIC: 41% vs 13%) and 1L tx validation sets (JSTCT: 25% vs 18%; MAGIC: 32% vs 29%). D28 RR is superior to OR because it more accurately reflects control of serious GVHD in four independent validation cohorts, particularly in patients with GI disease. Conclusion We conclude that RR is a more accurate endpoint than OR in patients with grade II-IV GVHD primarily because it classifies persistent GI GVHD at D28 as a non-response instead of a response, which correlates with 6-mo NRM and achieves a higher NPV. This validated RR metric can serve as a better endpoint than OR in assessing treatment efficacy in both primary treatment trials that enrich for high risk GVHD, e.g. GI involvement, and second line treatment trials.

Background: Physical function (PF) is an important outcome that can inform cancer treatment tolerability from a clinical and regulatory perspective. PF can be assessed through different modalities: patient-reported (PRO), clinician-reported (ClinRo), performance tests (PerfO), and digital sensors (wearables). No standard approach for PF measurement has been defined, and each modality bears unique implementation challenges. The Integrating 4 Measures to Assess Physical Function study (In4M, NCT05214144) characterized the performance of these PF modalities in patients receiving cytotoxic chemotherapy, with a goal of guiding an assessment strategy in future cancer trials. Here we present feasibility results of the In4M study in patients with lymphoma. Methods: In4M is a prospective observational study with longitudinal PF assessment of PROs, ClinRo, PerfO, and wearable sensor data for over 9 months in patients initiating chemotherapy for lymphoma or breast cancer at Mayo Clinic and Yale University. Patient-reported PF was assessed using several validated ePRO instruments, ClinRo utilized clinician-reported Eastern Cooperative Oncology Group (ECOG) performance status, PerfO was measured via 6-minute walk test (6MWT), and digital sensor data was obtained from a wearable (Fitbit) provided to all participants. We evaluated the feasibility of implementing these PF modalities through compliance outcomes and a study-specific exit survey. Descriptive statistics included medians and interquartile ranges (IQR) for continuous variables and frequencies for categorical variables. We used a mixed model to estimate mean number of Fitbit compliant days per week. Results: Among 66 patients with lymphoma in the study (median age was 57 years; 52% were male), 90% self-reported as White, 4.9% as Black, 1.6% as Asian, 1.6% as American Indian or Alaska Native, and 1.6% as multiple races. Ethnicity was reported as non-Hispanic/Latino by 93% of patients. Education status was reported as more than high school by 92% of patients, and 49% reported full-time employment at time of enrollment. The overall ePROs completion rate was 80.7% for the entire study period. Baseline ePRO completion rate was 93.9%. Completion rate while undergoing chemotherapy was 91.3% and 75.4% in the post-treatment follow-up. The median time to complete ePROs was 4.1 minutes (IQR 2.8-5.9), ranging from 3.1 minutes for surveys with 37 questions to 5.6 minutes for surveys with 55 questions (survey length varied by timepoint). The baseline 6MWT was completed by 91% of patients. The most common reasons for not completing the baseline 6MWT were: patient refusal (50%, 3/6), patient not physically present (33%, 2/6), and unable to complete due to fatigue (17%, 1/6). The 3-month 6MWT was completed by 66% (40/61) of patients, with the most common reasons for missingness being: patient not physically present (38%, 8/21) and unable to complete due to fatigue (14%, 3/21). When considering the days when Fitbit was used, the median wear time was 21.3 hours (IQR 18.9-22.5) per day. The proportion of compliant days (>10 hours of wear time during waking hours) was 53% (IQR 20-84). The median of participants' average compliant days per week was 5.4 (IQR 4.3-6.1) days/week after enrollment, with a slight downward trend over time (-0.017 compliant days per week [95% CI: -0.021, -0.012, p <0.001] over each consecutive week in the study). The exit survey was completed by 39 (59%) patients. Most participants (85%) indicated they did not find the ePRO surveys burdensome to complete. Using the Fitbit (charging and syncing) was found to be manageable by most patients (87% and 84%, respectively). 60.8% of patients did not find the wearable bothersome to use, while the main themes reported by the remaining patients were related to the operation of the wearable itself (functions, small text size, forgetting login information) or discomfort (band material, wearing at night). Conclusion: Multi-modal assessment of PF with PRO, ClinRo, PerfO and wearable sensor data in patients with lymphoma undergoing treatment is feasible. Designing lymphoma therapeutic trials that incorporate at least one PF assessment modality, or assessment with a parsimonious combination of modalities, is achievable and may yield valuable insights into treatment tolerability for clinical and regulatory purposes.

Background: Mature T-cell lymphomas (MTL) are a heterogenous group of diseases representing about 10-20% of non-Hodgkin lymphomas (NHL). Standard treatment with cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) chemotherapy yields poor long-term outcomes. Allogeneic hematopoietic cell transplantation (allo-HCT) is often considered as consolidation to improve outcomes, especially in younger patients. Methods: The study included adult patients (pts) with MTL who received an allo-HCT at Mayo Clinic (Rochester, Arizona and Florida) and the City of Hope Cancer Center between 2007 and 2023. Patients with cutaneous T-cell lymphomas (mycosis fungoides/Sezary syndrome) were excluded. The primary aim of the study was to evaluate long-term outcomes of allo-HCT in patients with MTL. Primary endpoints included progression-free (PFS), overall survival (OS), relapse rates, non-relapse mortality (NRM), and cumulative incidence of acute and chronic graft vs host disease (aGVHD and cGVHD). Our second aim was to assess the impact of specific disease and transplant related factors on outcomes of allo-HCT in MTL. These included a) disease status prior to allo-HCT, b) the intensity of the conditioning regimen, c) inclusion of total body irradiation (TBI) in conditioning regimens and the use of posttransplant cyclophosphamide (PTCy) based GVHD prophylaxis Results: A total of 75 pts, median age 48 (22-72) years, with MTL underwent allo-HCT between 2007 and 2023 and were included in the study population. Peripheral T cell lymphoma not otherwise specified (PTCL-NOS; n=42, 56%) was the most common histology followed by angioimmunoblastic T cell lymphoma (AITL; n=13, 17%). Patients had a median of 3 (range 1-8) prior therapies and 26 (35%) pts had undergone a prior autologous HCT (auto-HCT). At the time of allo-HCT, 45 (63%) pts were in complete remission (CR) and 26 (36%) pts were in partial remission (PR). The most common donor source was HLA-matched unrelated donor (MUD; n=34, 45%) and matched related (MRD; n=24, 32%) followed by haploidentical donors (haplo; n=8, 10.7%), mistmatched unrelated donors (MMUD; n=7, 9.3%) and umbilical cord blood (UCB; n=2, 2.6%). Fifty-four pts (72%) received reduced intensity conditioning (RIC) and 20 (26.7%) received total body irradiation as part of their conditioning regimen. The median radiation dose was 1200cGy. Ten pts (13%) received PTCy-based GVHD prophylaxis. Median follow-up of was 3 yrs (0.05-11.34). The 5-yr PFS and OS were 64.2% (53.5%-77%) and 71.3% (61.3%-82.9%), respectively; cumulative incidence of relapse and NRM were 14.5% (5.2 - 23%) and 23.5% (12.2%-33.4%), respectively. Cumulative incidence of grade II-IV and grade III-IV aGVHD at 100 days was 45.3% (32.3%-55.9%) and 9.8% (2.6%-16.5%), respectively. One-year rate of all grade cGVHD was 50.7% (36.5%-61.8%). Patients who underwent allo-HCT while in complete remission compared to those in partial remission were noted to have superior survival with OS of 77.4% vs. 60.7% (p=0.022); no difference was noted between the two groups regarding PFS and incidence of relapse. No difference in long-term outcomes was observed based on the intensity of conditioning regimens but patients who received conditioning regimens containing TBI vs those who did not were noted to have inferior PFS of 44.9% vs 70.5% (p=0.019), with no difference in OS (58.4% vs 75.6% [p=0.059]), relapse rates (30.4% vs 10.7% [p=0.086]) and NRM (30.5% vs 20.3% [p=0.18]). Patients who received PTCy based vs. non-PTCy based GVHD prophylaxis had lower rates of chronic GVHD at 1 yrs (22% vs 56% [p=0.038]) with no difference in other outcomes. Conclusion: Results of our analysis show that allo-HCT represents a curative option for patients with MTL with excellent long-term outcomes. These outcomes were further improved for patients who achieved a complete remission prior to allo-HCT. The intensity of the conditioning regimen did not affect outcomes but TBI containing conditioning regimens were associated with adverse PFS. Within the limitations of a retrospective analysis and a relatively small sample, these data suggest that, a non-TBI RIC regimen, especially when combined with PTCy based GVHD prophylaxis can lead to long term disease control with limited morbidity.

Introduction: Response assessment is used to evaluate effectiveness of hypomethylating agent (HMA)-based therapy in myelodysplastic syndromes/neoplasms (MDS) in clinical practice and trials. Recently, the clinical response criteria (IWG 2023) and the clinical-molecular risk assessment (IPSS-M) in MDS were published. However, it remains unknown whether the IWG 2023 response criteria have an independent impact on overall survival (OS) when adjusting for baseline IPSS-M risk. Additionally, the association of IWG 2023 response criteria with OS in patients (pts) undergoing allogeneic stem cell transplantation (allo-HCT) versus those who do not is unknown. Lastly, it is unclear if optimal time-to-transplant impacts OS in MDS pts who achieve a IWG 2023 defined remission with HMA therapy. We examined these questions in a large population of MDS pts within the multi-institutional international consortium for MDS (icMDS) VALIDATE database. Methods: High-risk MDS pts with IPSS ≥1.5 or IPSS-R >3.5 treated with HMA-based therapy were included in the study. Baseline IPSS-M risk was stratified into very low/low/moderate low (VL+L+ML), moderate-high/high (MH+H), and very high (VH). Response to treatment was evaluated using the IWG 2023 criteria and grouped into: composite complete response (cCR) and no cCR. cCR included: complete response (CR), CR equivalent (CRequ), CR bilineage (CRbi), CR unilineage (CRuni), and CR with partial hematologic recovery (CRh). We analyzed the differential impact of achieving cCR on HMA-based therapy prior to transplant on OS in pts who either did or did not undergo allo-HCT, while adjusting for their baseline IPSS-M risk in Cox regression analysis. Optimal time-to-transplant was determined based on age and IPSS-M category as described by Tentori et al. (JCO 2024). Pts proceeding to allo-HCT were stratified on whether they underwent transplant within the optimal time-to-transplant timeframe after MDS diagnosis or not. VALIDATE protocol was exempted, acknowledged, or approved by all centers' IRBs. VALIDATE is supported by an independent grant from AbbVie. Results: We analyzed 762 MDS pts. The median age at MDS diagnosis was 68 years (range: 19-95 years) and 64% of pts were male. Distribution of the baseline IPSS-M risk was: VL+L+ML in 110 (14%) pts, MH+H in 347 (46%) pts, VH in 305 (40%) pts. Pts received azacitidine monotherapy, decitabine monotherapy, and HMA-based combination therapy (e.g. HMA + venetoclax) in 52%, 21%, and 28% of cases, respectively. A total of 282/762 (37%) pts achieved cCR as their best response to HMA-based therapy. The median OS for all pts was 18.7 months (95% CI: 16.6-21.3 months). Pts who did not undergo allo-HCT (n=436, 57%) had an improved median OS if they achieved cCR when compared to pts in the no cCR group in all IPSS-M risk groups (VL+L+ML: 23.5 months vs. 10.7 months; MH+H: 20.8 months vs. 11.6 months; VH: 13.8 months vs. 7.5 months). Cox analysis demonstrated an independent effect of cCR on OS in these pts when adjusted for baseline IPSS-M risk (cCR vs. no cCR: HR 0.60, 95% CI 0.48-0.76, p<0.001). In contrast, in pts who subsequently received an allo-HCT (n=326, 43%), achieving cCR with HMA prior to allo-HCT did not provide an additional OS benefit, when adjusted for baseline IPSS-M risk (cCR vs. no cCR: HR 1.00, 95% CI 0.73-1.38, p=0.986). The median time-to-transplant was 6.7 months and 34% of transplanted MDS pts received their allo-HCT during the optimal timeframe. Among pts who achieved cCR with HMA-based therapy prior to allo-HCT, optimal time-to-transplant was associated with significantly improved OS (optimal vs. non-optimal timing: HR 0.55; p=0.033). Conclusion: Baseline IPSS-M risk and allo-HCT had an independent impact on OS, while IWG 2023 defined cCR had an independent effect on OS only in non-transplanted MDS pts. While this retrospective analysis occurred at large academic centers with specific expertise in the management of MDS, our data may have an impact on clinical practice: (i) failure to achieve cCR on HMA therapy prior to transplant should not impact the decision to proceed to allo-HCT, (ii) upfront allo-HCT without prior HMA therapy might also be an option if the clinical situation and availability of donors allow, and (iii) allo-HCT should ideally be performed during the timeframe that is considered optimal as defined by pt age and baseline IPSS-M.

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: 24-hour urine (24HRU) assessments are a key component of International Myeloma Working Group (IMWG) response criteria for multiple myeloma (MM) and are requested longitudinally in clinical trials even if not routinely used in real-world practice. Several analyses have suggested a limited role for 24HRU if serum immunofixation or free light chain (LC) testing is abnormal (Dejoie Blood 2016, Lahuerta Blood 2023). Adopting urine-free response criteria (with 24HRU removal from every level of IMWG response) may change responses in <5% of patients (Natsuhara et al, Leuk Lymph 2023) but not have been studied in terms of progression-free survival (PFS) in a larger population. Methods: This was a secondary analysis of data from the Phase 3 BMT CTN 0702 (STaMINA) trial (Stadtmauer et al, JCO 2019) studying post-autologous stem cell transplantation (ASCT) strategies. Only patients evaluable for Day +56 response following ASCT were included, and patients with progressive disease (PD, n=8) at this timepoint were excluded. Post-ASCT responses relative to diagnosis were calculated by two sets of criteria. First, traditional responses were calculated per IMWG criteria (Kumar et al, Lancet Onc 2016) as stable disease (SD), partial response (PR), very good PR (VGPR), or complete response (CR, including stringent CR). Second, urine-free response assessments were calculated as follows: negative 24HRU immunofixation no longer required for CR, 24HRU M-protein < 100 milligrams (mg) per day no longer required for VGPR, and no 24HRU M-protein thresholds (e.g., < 200 mg per day or > 90% reduction) required for PR. PFS was estimated (using PD by traditional IMWG criteria or death as events) using proportional hazard models. Results: Of 636 evaluable patients (84% of all BMT CTN 0702 participants), LC-only disease was noted in 18.9% (n=120). Pre-enrollment 24HRU testing at diagnosis was done in 28.9% of patients (n=184). IMWG responses were as follows: CR, 29.4% (n=187) traditional vs 29.7% (n=189) urine-free; VGPR, 37.0% (n=235) traditional vs 36.6% (n=233) urine-free; PR, 30.7% (n=195) for both; SD, 3.0% (n=19) for both. A total of 4 responses (0.6%) changed with urine-free criteria. Three patients were ‘upgraded’ (VGPR to CR, n=2, PR to VGPR, n=1) because 24HRU requirements for CR/VGPR were no longer required. One patient without a measurable serum paraprotein was ‘downgraded’ from a traditional VGPR (with negative 24HRU immunofixation) to a urine-free PR based on LC-only criteria. Among the subset of 184 patients with 24HRU electrophoresis results at diagnosis, there were no differences between traditional and urine-free IMWG responses. Median PFS and 95% confidence intervals (CI) were the same at each depth of both traditional and urine-free criteria: 63.0 months (50.8 - 71.4 months) for CR, 49.6 months (42.6 - 55.1 months) for VGPR, 44.9 months (37.2-54.8 months) for PR, and 34.4 months (14.0-51.5 months) for SD. Urine-free IMWG criteria were highly prognostic for PFS (p = 0.006, 95% CI 1.05-1.36). The achievement of urine-free CR vs urine-free ≤CR was also prognostic (p = 0.005, 95% CI 0.54 - 0.89). Urine-free VGPR vs urine-free ≤VGPR was of borderline significance (p = 0.102, 95% CI 0.66 - 1.04), with median PFS 53.8 months (48.0 - 57.6 months) vs 44.6 months (36.3 - 54.7 months) respectively. Discussion: In this secondary analysis of a Phase 3 trial, omitting 24HRU assessments from IMWG criteria changed <1% of responses and had no impact on PFS prediction at any response depth. 24HRU assessments had been performed for less than a third of patients as standard of care prior to study entry, underscoring its infrequent use outside of trials. Urine-free IMWG assessments would reduce time toxicity and discomfort for patients, particularly for those with limited dexterity. If implemented in trials, they would also simplify study logistics and lower operational costs. Outside of situations such as AL amyloidosis where 24HRU assessments remain critical or for patients with urine as their only measurable MM biomarker, our results support the removal of 24HRU assessments from future iterations of IMWG response criteria. Funding: Grants #U10HL069294 and #U24HL138660 to the BMT CTN from the NHLBI and the NCI; contributions by Celgene Corporation and Millennium Pharmaceuticals, Inc.; funding by The Alliance for Clinical Trials in Oncology, the ECOG-ACRIN Cancer Research Group and SWOG.

Introduction: Despite the success of anti-CD19 Chimeric Antigen Receptor T cells (CART19) in patients with B-cell acute lymphoblastic leukemia (B-ALL), an allogeneic haematopoietic stem cell transplantation (HSCT) might rescue patients with disease recurrence. However, in patients at high risk of relapse, indication and timing of HSCT are challenging. Whether waiting for detectable disease or proceeding to consolidative HSCT in remission, is still controversial. This GoCART Coalition registry study aimed at investigating the outcome of patients who received HSCT after CART19. Methods: We retrieved data from the EBMT registry on adults and children with B-ALL who received autologous CART19 from 2016 and 2023. Baseline, previous treatment, bridging therapy, CART19 therapy, B cell aplasia duration, outcome, disease status at follow-up were collected. Kaplan Meier estimates were used for overall survival (OS), leukemia-free survival (LFS) and non-relapse mortality (NRM) from date of HSCT, whereas cumulative incidence was used for relapse after HSCT. The relapse was defined as molecular or hematologic recurrence of the disease. Relapse and NRM were mutually competing events. Results: Of 345 patients (173 adults and 172 children) infused with CART19 (Tisagenlecleucel in 65.2%, Varnimcabtagene autoleucel 25.8%, brexucabtagene autoleucel 5.5%, and others 3.5%), 113 subsequently received an HSCT (37 adults and 76 children; median age 13.5 years, IQR 8.2-22.2) at a median of 6.2 months (3.7-11.8) after CART19 infusion. Median follow-up was 1.6 years (95%CI 1.1-1.9). Overall, 67/113 (59.3%) patients were transplant-naive (17 adults; 50 children). 78.2% received a myeloablative conditioning, 36.8% were grafted from a mismatched related donor. Most of the patients (64.2%) were transplanted in CR3 or more. Disease status at HSCT was relapsed disease for 9% of the patients, whereas among patients in CR with reported MRD 26/95 (27%) received HSCT with MRD positivity (MRD+). Among the patients with disease recurrence after CART19, 19/60 (32%) detected a CD19-negative clone. Indication for the subsequent HSCT was reported for 110 patients, as follow: (I) Rescue HSCT in 68 (62%) patients with molecular/morphological disease after CAR-T (including one patient with MDS post CAR-T); (II) Pre-emptive HSCT in 22 (20%) patients with B-cell aplasia loss with no signs of disease recurrence; (III) ConsolidativeHSCT in the 20 patients (18%) who were transplanted for the high risk of relapse, despite ongoing B cell aplasia and no disease recurrence. Median time elapsed between CART19 and HSCT was 9.5, 4.4 and 3.4 months in the three groups, respectively. The 2-yr OS was 71.1% (95%CI 59.8-79.7) and 2-yr LFS was 53.5% (41.9- 63.8), relapse incidence was 32.7% (22.4-43.5), while NRM was 11.6% (6.1-19.1). The 2-years LFS was 59.6% (45.2-71.4) vs 42% (19.2-63.4), for patients transplanted with negative or positive MRD, respectively. 5/11 patients transplanted with overt disease (including one with MDS) relapsed or died, the 6 survivors free of disease had follow-up inferior to 2 years. Children compared with adults showed better OS (76.8%, 62.1-86.4; 59.9%; 40.8-74.6; p=0.02), and better LFS (64.3%, vs. 36.4%; p= 0.02). Patients receiving a rescue HSCT for MRD+ or overt relapse had a significant lower LFS (43.6% and 33.2%), as compared to pre-emptive (77.3%) and consolidative HSCT (83.6%, p= 0.001). In univariate analysis, no significant differences in OS (74.5% vs 65.6%, p=0.32), LFS (54.3% vs 52.4%, p=0.75) and NRM (10.7% vs 12.9%, p=0.68) were reported for those patients having a previous HSCT before CART19. Conclusion: To the best of our knowledge this is the largest cohort of transplanted patients after CART19. In this “real-world” registry-based study we found that patients transplanted without disease recurrence had a better LFS, also accounting for MRD. For those who experienced molecular or overt relapse, achieving MRD negativity appeared to be relevant for a better outcome. The low NRM, with no differences between pre-transplanted and transplant naive patients, suggest that HSCT after CART19 is well tolerated, and represent a valid strategy to reduce the risk of relapse. As it remains unclear for which patients autologous CART19 cells remains a stand-alone treatment, future studies should focus on strategies for early identification of patients at higher risk of treatment failure.

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.