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381 Background: In RATIONALE-306 (NCT03783442), patients (pts) with LA unresectable or metastatic ESCC who received TIS (intravenously, 200 mg, every 3 weeks) + CT (platinum + fluoropyrimidine or paclitaxel) had longer median overall survival (OS) than pts who received PBO + CT at the interim analysis; improvement was maintained after a ≥3-year follow-up. Post hoc analyses in the PD-L1 TAP ≥1% subgroup showed clinically meaningful improvement with TIS + CT. These data supported the US FDA approval for unresectable or metastatic ESCC. Here we report the subgroup analysis of pts who had LA ESCC with PD-L1 TAP score ≥1%. Methods: Pts who had LA unresectable ESCC with PD-L1 TAP score ≥1% were included in this post hoc analysis. Efficacy outcomes (OS, progression-free survival [PFS], objective response rate [ORR], duration of response [DoR]) and safety were analyzed. Results: At data cutoff (Feb 28, 2022), of 649 pts randomized, 63 had LA ESCC with PD-L1 TAP score ≥1% (TIS + CT n=31; PBO + CT n=32; median age 67.0 years; 85.7% male). At median follow-up (TIS + CT 24.4 months; PBO + CT 24.5 months), efficacy with TIS + CT was improved vs PBO + CT (Table) and was consistent with the intent-to-treat (ITT) population. Efficacy was maintained after a ≥3-year follow-up (data cutoff: Nov 24, 2023; Table). Conclusions: In this post-hoc analysis, the median OS for pts receiving TIS + CT exceeded two years. The regimen was well tolerated. While the findings require validation in future clinical trials, first-line TIS + CT is an encouraging option for pts who have LA unresectable ESCC with PD-L1 TAP score ≥1%. Clinical trial information: NCT03783442 . Interim Analysis 3-Year Follow-up TIS + CT (n=31) PBO + CT (n=32) TIS + CT (n=32) e PBO + CT (n=31) f Median OS, mo(95% CI) 25.6 (15.3, NE) 11.5(9.0, 21.8) 25.6 (15.3, NE) 12.3(9.0, 21.8) HR (95% CI) a 0.36 (0.17, 0.77) – 0.50 (0.26, 0.95) – Median PFS, a mo(95% CI) 13.2(6.8, NE) 6.7(4.2, 9.7) 13.2(6.8, 27.7) 6.7(4.2, 9.7) HR (95% CI) a 0.46 (0.22, 0.96) – 0.47 (0.23, 0.96) – ORR, b,c n (%) 18 (58.1) 10 (31.3) 19 (59.4) 10 (32.3) Median DoR, b,d mo(95% CI) Not reached (8.4, NE) 5.7 (1.5, 9.6) 22.1 (6.1, NE) 5.7 (1.5, 9.6) a Stratified. b Investigator assessed. c Unconfirmed. d Based on unconfirmed ORR. e One patient’s disease status at baseline was changed to LA after interim analysis. f One patient’s disease status at baseline was changed to metastatic after interim analysis. NE, not estimable.

334 Background: Sarcopenia, or decreased skeletal muscle mass, has been associated with worse surgical and oncologic outcomes across multiple malignancies. This study investigates the impact of sarcopenia on outcomes after multimodal therapy for esophageal cancer. Methods: Retrospective observational cohort study including adult patients who underwent neoadjuvant therapy followed by esophagectomy for primary esophageal cancer from January 2000 - December 2021. A fully automated abdominal segmentation using deep convolutional neural network was utilized to calculate skeletal muscle index (SMI) from preoperative CT scans performed at our institution. Males with SMI <52.4 cm 2 /m 2 and females with SMI <38.5 cm 2 /m 2 at any point before surgery were classified as sarcopenic. The relationship between sarcopenia and patient demographics, operative details, and complications were explored using chi-square tests. The relationship between sarcopenia and disease-free survival and overall survival were investigated using parsimonious multivariable analysis retaining variables with p-value <0.05 using backward selection method. Results: We identified 200 patients meeting the study criteria with 142 (71%) having sarcopenia at any time prior to surgery. Patients with sarcopenia were significantly older [65.2 (59.6, 71.2) vs 63 (53.6, 67.5), p = .023] and more likely to have had open surgery [129 (90.8%) vs 46 (79.3%), p = .034]. There were no significant differences in sex, history of diabetes, coronary artery disease, renal disease, smoking, cancer type, cancer stage, tumor size, tumor location, or margin status between sarcopenic groups ( p > .05). Sarcopenic patients were significantly more likely to require blood transfusion ≥3 units after esophagectomy [79 (55.6%) vs 8 (13.8%), p < .001] or to experience complications requiring surgical intervention [36 (24.6%) vs 7 (12.1%), p = .048]. Multivariate analysis revealed that sarcopenia was associated with disease-free and overall survival (Table). Conclusions: Sarcopenia is a prognostic factor in patients undergoing multimodal therapy for esophageal cancer. Interventions that aim to prevent decreases in SMI after initiating neoadjuvant therapy should be investigated. Multivariate analysis with sarcopenia predicting outcomes. Disease free survivalHR (95% CI) p-value Overall survivalHR (95% CI) p-value Age 1.04 (1.02, 1.06) < .001 1.04 (1.02, 1.07) < .001 Epicenter Middle Upper 1.88 (1.21, 2.86)3.16 (1.67, 5.98) .001.005< .001 1.96 (1.26, 3.04)4.00 (1.90, 8.44) < .001.003< .001 Stage Stage II Stage III Stage IV 1.88 (0.95, 3.71)2.90 (1.46, 5.75)16.02 (6.12, 41.93) < .001.069.002< .001 1.65 (0.83, 3.25)2.76 (1.37, 5.55)10.14 (4.03, 25.53) < .001.151.005< .001 Cancer type - - 1.76 (1.03, 3.02) .039 Transfusion > 3 pRBC - - 1.54 (0.99, 2.40) .057 BMI prior to cancer diagnosis - - 0.98 (0.94, 1.01 .208 Sarcopenic 1.76 (1.16, 2.67) .007 1.64 (1.04, 2.60) .033

Abstract Background Ten years after the original publication, the Centiloid framework is now broadly used to harmonize amyloid‐PET quantification, facilitate data sharing and comparison across cohorts, and even assist visual interpretation in clinical settings. We evaluated the global implementation of Centiloids by comparing their distribution and corresponding positivity thresholds across cohorts. Methods We gathered data from publicly available cohorts and reached out to investigators across the world to collect cross‐sectional Centiloids, demographic and clinical information, and visual read data. Gaussian mixture models (GMM, k=2) were fitted to Centiloid values for each cohort and cutoffs were calculated as mean + 2SD of the lower Gaussian. When visual reads were available, we determined Centiloid cutoffs that maximized correspondence with visual reads (Cohen's kappa). Data was combined across cohorts using random effects meta‐analyses. Results As of January 2025, we included 37 cohorts ( n = 41,678 participants) with heterogeneous pipelines, radiotracers, and clinical and demographic characteristics (Table‐1). The low Gaussian peaks ranged from ‐9 to 10CL; the meta‐analysis identified a common peak at 1CL. The second peaks were more heterogeneous (range=38‐102CL; meta‐analysis outcome=64CL). Across cohorts, the proportion of cognitively unimpaired versus impaired participants impacted the position of both peaks, with better separation in cohorts enriched in impaired individuals (Figure 1C). The meta‐analysis indicated a GMM‐based cutoff of 19CL (95%CI: 16‐21CL, Figure 1B); subgroup analyses showed no evidence of significant effect between single versus multicenter settings (17 versus 20CL, p = 0.30), MRI‐based or PET‐only processing (18 versus 19CL, p = 0.88), and no evidence of difference across radiotracers (Flutemetamol: 16CL; PIB: 17CL, Flutafuranol: 18CL, Florbetaben: 19CL, Florbetapir: 20CL, p = 0.78). In a subset of 29,496 participants with visual reads available, binary visual reads corresponded well to Centiloids (common kappa=0.86, Figure 2A). The visual read‐based cutoff of 24CL (95%CI: 21‐27CL, Figure 2B) maximized correspondence between visual read and quantification and was slightly higher than the GMM‐based cutoff. All meta‐analysis models showed high non‐random heterogeneity (I 2 >80%) across studies, suggesting non‐random differences in peaks and cutoffs. Conclusions Meta‐analysis‐based cutoffs align well with thresholds from the existing literature. High heterogeneity among studies underscores the need to investigate contributing factors, raising concerns about applying common cutoffs.

Abstract Background Ten years after the original publication, the Centiloid framework is now broadly used to harmonize amyloid‐PET quantification, facilitate data sharing and comparison across cohorts, and even assist visual interpretation in clinical settings. We evaluated the global implementation of Centiloids by comparing their distribution and corresponding positivity thresholds across cohorts. Methods We gathered data from publicly available cohorts and reached out to investigators across the world to collect cross‐sectional Centiloids, demographic and clinical information, and visual read data. Gaussian mixture models (GMM, k=2) were fitted to Centiloid values for each cohort and cutoffs were calculated as mean + 2SD of the lower Gaussian. When visual reads were available, we determined Centiloid cutoffs that maximized correspondence with visual reads (Cohen’s kappa). Data was combined across cohorts using random effects meta‐analyses. Results As of January 2025, we included 37 cohorts ( n = 41,678 participants) with heterogeneous pipelines, radiotracers, and clinical and demographic characteristics (Table‐1). The low Gaussian peaks ranged from ‐9 to 10CL; the meta‐analysis identified a common peak at 1CL. The second peaks were more heterogeneous (range=38‐102CL; meta‐analysis outcome=64CL). Across cohorts, the proportion of cognitively unimpaired versus impaired participants impacted the position of both peaks, with better separation in cohorts enriched in impaired individuals (Figure‐1C). The meta‐analysis indicated a GMM‐based cutoff of 19CL (95%CI: 16‐21CL, Figure‐1B); subgroup analyses showed no evidence of significant effect between single versus multicenter settings (17 versus 20CL, p = 0.30), MRI‐based or PET‐only processing (18 versus 19CL, p = 0.88), and no evidence of difference across radiotracers (Flutemetamol: 16CL; PIB: 17CL, Flutafuranol: 18CL, Florbetaben: 19CL, Florbetapir: 20CL, p = 0.78). In a subset of 29,496 participants with visual reads available, binary visual reads corresponded well to Centiloids (common kappa=0.86, Figure‐2A). The visual read‐based cutoff of 24CL (95%CI: 21‐27CL, Figure‐2B) maximized correspondence between visual read and quantification and was slightly higher than the GMM‐based cutoff. All meta‐analysis models showed high non‐random heterogeneity (I 2 >80%) across studies, suggesting non‐random differences in peaks and cutoffs. Conclusions Meta‐analysis‐based cutoffs align well with thresholds from the existing literature. High heterogeneity among studies underscores the need to investigate contributing factors, raising concerns about applying common cutoffs.

Abstract Combination therapy incorporating programmed cell death protein 1 (PD-1) blockade results in unprecedented response rates in both frontline and relapsed/refractory (R/R) classical Hodgkin lymphoma (cHL). Previous retrospective studies have suggested benefit for PD-1 blockade before autologous stem cell transplant (ASCT) but included few patients receiving PD-1 blockade with cytotoxic chemotherapy. To explore the impact of anti–PD-1 based salvage on outcomes for patients with R/R cHL, we retrospectively reviewed 1280 patients with R/R cHL who underwent ASCT from 2010 to 2022 at 6 transplant centers, none of whom received PD-1 blockade as part of frontline therapy. Overall, 25% received a PD-1 inhibitor at any point before ASCT (10% in conjunction with chemotherapy), 28% received salvage brentuximab vedotin (BV) without PD-1 blockade, and the rest received salvage chemotherapy alone. Patients who received PD-1 inhibitors at any point before ASCT had a significantly higher 2-year progression-free survival than those who received BV without PD-1 inhibitors or patients receiving chemotherapy alone (88.2%, 70.2%, and 67.4%, respectively; P&lt; .0001). When restricted to patients in complete response before ASCT, the benefit of PD-1 blockade remained significant. PD-1 blockade before ASCT is independently associated with superior post-ASCT outcomes and patients proceeding to ASCT should be treated with PD-1–based salvage.

Abstract Introduction: Patients (pts) with soft tissue plasmacytomas noncontiguous with bone (true extramedullary disease [EMD]) have poor outcomes with standard therapies shown by low overall response rates (ORRs), which are not durable. Talquetamab (Tal; anti-GPRC5D×CD3) and teclistamab (Tec; anti-BCMA×CD3) are first-in-class bispecific antibodies (BsAbs) approved as monotherapies for triple-class exposed (TCE) relapsed/refractory multiple myeloma (RRMM). Primary analysis from the RedirecTT-1 (NCT04586426) dedicated phase 2 EMD cohort (March 2025 data cut; median follow-up [mFU] 12.6 mo) showed Tal + Tec elicited an ORR of 78.9% (assessed by independent review committee) and a 12-mo progression-free survival (PFS) of 61.0%. Here, we report updated efficacy, using investigator assessment, and safety results from the phase 2 RedirecTT-1 EMD cohort with Tal + Tec. Importantly, we report EMD location and a novel analysis of tumor burden as a prognostic indicator of ORR. Methods: Pts had TCE RRMM and true EMD defined as ≥1 nonradiated soft tissue plasmacytoma noncontiguous with bone ≥2 cm in 1 dimension (with or without paramedullary plasmacytomas). Nonsecretory/oligosecretory disease was permitted. Prior CAR-T and non-BCMA/-GPRC5D BsAb therapies were permitted. Pts received Tal 0.8 mg/kg + Tec 3.0 mg/kg Q2W, preceded by step-up doses, with a permitted switch to monthly dosing at investigator's discretion after cycle 6 or after cycle 4 with confirmed ≥VGPR. Response was assessed per IMWG; EMD response was assessed by PET-CT or MRI whole-body scans. Tumor burden was assessed by total EMD tumor volume. Results: As of July 2025, 90 pts received Tal + Tec, with a median follow-up of 16.3 mo (range 0.5–23.7). Baseline characteristics were as previously reported; 39% had nonsecretory/oligosecretory disease, 20% had prior anti-BCMA CAR-T therapy, and 9% had prior BsAb therapy (all anti-FcRH5). The median number of plasmacytomas was 2 (range 1–7); 17 (18.9%), 29 (32.2%), and 74 (82.2%) pts, respectively, had ≥1 nodal, organ, or soft tissue EMD, while 11 (12.2%) also had ≥1 additional paramedullary plasmacytoma. Of 268 EMDs across all pts, 95 (35.4%) were nodal EMD, 77 (28.7%) were organ EMD (most commonly liver), and 64 (23.9%) were soft tissue EMD; 32 (11.9%) were paramedullary. Baseline EMD tumor volume was &lt;25 cm2in 43 (47.8%) pts, 25–50 cm2 in 21 (23.3%) pts, and &gt;50 cm2 in 26 (28.9%) pts. Per investigator assessment, ORR (95% CI) was 77.8% (67.8–85.9); 50.0% had a ≥CR. Median duration of response (DOR) was not estimable (NE; 12-mo DOR rate, 60.1%), 12-mo PFS was 55.6%, and median overall survival (OS) was NE (12-mo OS rate 73.8%). ORR was 90.7% (77.9–97.4; ≥CR 60.5%) in pts with EMD tumor volume &lt;25 cm2, 66.7% (43.0–85.4; ≥CR 52.4%) for 25–50 cm2, and 65.4% (44.3–82.8; ≥CR 30.8%) for &gt;50 cm2. Common adverse events (AEs) included CRS (77.8%; no grade [gr] 3/4) and neutropenia (72.2%; gr 3/4 62.2%). Taste changes (78.9%), non-rash skin AEs (68.9%), and nail AEs (55.6%) were all gr 1/2, and rash AEs (30.0%) were mostly gr 1/2. ICANS occurred in 11 (12.2%) pts (gr 3, 1.1%; gr 4, 1.1%). Infections occurred in 72 (80.0%) pts (gr 3/4 40.0%), most commonly upper respiratory tract infection (26.7%; gr 3/4 5.6%); IVIG was highly recommended to prevent and manage hypogammaglobulinemia and infection. Ten (11.1%) pts discontinued Tal + Tec due to treatment-emergent AEs (4 pts due to infections and 6 due to gr 5 AEs). Two pts discontinued Tal only due to AEs. In total, 11 (12.2%) pts had gr 5 AEs (6 due to infections), 6 of which were deemed to be drug related by investigators. Data will be updated with an additional 4 mo of follow-up for the presentation. Conclusions: With longer follow-up in pts with TCE RRMM with true EMD regardless of baseline tumor characteristics, Tal + Tec efficacy exceeded all approved therapies, including T-cell redirecting and cellular therapies, noting limitations of cross-study comparisons. Lower total EMD tumor volume was associated with a higher ORR but low pt numbers in each group and lack of statistical testing limits robust interpretation. The safety profile of Tal + Tec was generally consistent with each monotherapy; AEs were not exacerbated with the combination. These data continue to highlight the clinical benefit of the novel combination of Tal + Tec in pts with true EMD, a population with high disease burden and significant unmet need.

Abstract Introduction: CLL disease control and survival outcomes have improved since the introduction of Bruton tyrosine kinase inhibitors (BTKis). Since CLL often requires treatments, understanding patient preferences is critical in optimizing adherence and overall satisfaction. However, there are limited published data on how Korean patients prioritize treatment efficacy, safety and the convenience of administration. To address this gap, a discrete choice experiment (DCE) methodology was applied in a comprehensive quantitative analysis to evaluate patient preferences for BTKi treatment attributes among patients with CLL in Korea. Methods: Adult patients (≥18 years of age) with a confirmed diagnosis of CLL in Korea were recruited by The Korea Blood Disease & Cancer Association to participate in an online DCE survey questionnaire from April 30, 2025 to May 22, 2025. Treatment attributes and levels were identified based on published literature and clinical inputs. Efficacy attributes included progression-free survival (PFS); safety attributes included impacts of adverse events (AEs), including diarrhea, headache, atrial fibrillation and hypertension, on quality of life (QoL); convenience attributes included formulation type (including tablet or capsule) and dosing frequency (including once daily or twice daily). Preference data was analyzed using a conditional logistic regression. Relative importance of BTKi treatment attributes were calculated to measure the importance of each attribute in treatment decision-making. Additionally, subgroup analyses were conducted among patients aged &lt;60 years and ≥60 years, those who received 2 or more lines (2L+) of treatments, and those who experienced AEs from CLL treatment. Results: A total of 57 patients completed the survey. The mean age was 61 years, with 46% aged &lt;60 years and 54% aged ≥60 years. Female patients comprise 35% of the sample. Around 33% had a high school education or less, and 23% were employed full-time. More than half (54%) reported no comorbid conditions, and 70% were diagnosed ≥5 years ago (26% diagnosed 1 to &lt;5 years ago; 4% diagnosed less than a year ago). In terms of treatment experience, 11% were treatment naive, while 89% received ≥1 treatment (61% first-line, 21% second-line and 7% third-line or later). In the context of CLL treatment preferences, patients showed a significant preference (P &lt; .05) for therapies that minimized the impact of AEs on QoL, offered longer PFS, and required less frequent dosing. Formulation type did not have a statistically significant impact on treatment choice. Overall, patients placed greater importance on how treatment-related attributes affect their QoL and dosing frequency. The highest-ranked factors were the impact of headache (22%) and diarrhea (21%) on QoL, followed by dosing frequency (19%), the impact of atrial fibrillation (16%) and hypertension (14%) on QoL, PFS (7%), and formulation type (0.6%). Results from the subgroup analyses were generally consistent with the full sample analysis, with impacts of AEs on QoL being the most important factors for treatment decision-making, especially among older patients, although the relative ranking of impacts of AEs varied by age groups and treatment experience. Regarding efficacy, younger patients (&lt;60 years of age) valued PFS slightly more than older patients (≥60 years of age), ranking it 4th and 6th out of the 10 attributes, respectively. Additionally, preference on dosing frequency was more important for 2L+ patients, reflecting the treatment burden experienced from previous regimens. Conclusions: This study provides valuable insights into the treatment preferences of Korean patients with CLL, highlighting the importance of QoL considerations for treatment decision-making. Among the evaluated attributes, patients placed the greatest weight on minimizing the impacts of AEs, particularly headache and diarrhea, on daily functioning, followed by dosing frequency. These preferences underscore the need for patient-centered care that prioritizes not only clinical efficacy but also tolerability and convenience. These insights can inform shared decision-making and support the development of personalized treatment strategies that better align with patient needs and expectations in Korea.

PURPOSE Although most patients with follicular lymphoma (FL) can expect an indolent course, progressive lymphoma remains the primary cause of death during the first decade after diagnosis. Progression of disease within 24 months (POD24) of starting first-line (1L) immunochemotherapy defines a high-risk population with poor survival, but better risk stratification at diagnosis is needed. METHODS The FLIPI24 model was developed and internally validated to predict 24-month event rates using individual data from 4,485 patients treated with 1L immunochemotherapy from 10 observational cohorts of FL. Overall and cause-specific survival was further evaluated in FLIPI24 risk groups. External validation in the 1L immunochemotherapy setting was performed using the prospective observational Lymphoma Epidemiology of Outcomes (LEO) cohort (N = 565) and three randomized phase III trials (N = 3,192); extension to all patients with FL (any 1L therapy) was performed in the LEO cohort (N = 1,445) and its Molecular Epidemiology Resource subcohort (N = 1,074). RESULTS The FLIPI24 model uses age and four blood-based variables (hemoglobin, lactate dehydrogenase, beta-2 microglobulin, and WBC count). FLIPI24 showed consistent performance across validation and extension data sets, which was superior to existing prognostic tools. Across the four external immunochemotherapy validation data sets, patients with high-risk FLIPI24 (23%-32% of patients) had significantly higher 24-month event rates (22%-35%) and inferior 5-year overall survival (77%-83%) compared with patients with low-risk FLIPI24 (29%-31% of patients, 24-month event rates: 10%-12%; 5-year OS: 96%-97%). Results were consistent when evaluating lymphoma-related death and when extended to all patients with FL. CONCLUSION The FLIPI24 model robustly stratifies, at diagnosis, patients with FL at increased risk of lymphoma-related death versus patients with very low lymphoma-related mortality during the first decade after diagnosis. FLIPI24 can be used to enrich future clinical trial designs in newly diagnosed FL.