Strouse, Christopher

7533 Background: Ciltacabtagene autoleucel (cilta-cel) shows benefit for patients (pts) with relapsed/refractory multiple myeloma (RRMM). A recently recognized uncommon adverse reaction, IEC-EC is characterized by severe/persistent diarrhea typically 1–3 months post CAR-T cell infusion. Here we summarize incidence and features of IEC-EC in clinical trials of cilta-cel for RRMM. Methods: 483 pts across RRMM studies (CARTITUDE-1, -2, -4, and CARTIFAN-1) were evaluated for evidence of IEC-EC. The clinical picture and nomenclature for IEC-EC were described in the real-world setting after infusion of most pts. As such, retrospective analysis was performed to identify cases consistent with IEC-EC, defined as prolonged (≥3 weeks) and severe (≥grade 3) diarrhea after cilta-cel infusion, without clear infectious etiology. Correlative biomarker analyses included peripheral CAR-T cell expansion/persistence, immune cell composition, and cytokines/inflammatory markers. Centralized pathomorphological review and immunohistochemical analysis of available biopsies was conducted. Results: Across RRMM studies, 6/483 (1.2%) pts demonstrated the clinical picture of IEC-EC, presenting 12–214 days after receiving cilta-cel (median onset 67 days post infusion). Best response was CR/sCR for all subjects. Pts received therapies including steroids (4/6). Four pts experienced symptom resolution within 123–227 days; 2 had persistent symptoms until death (causes: multiorgan failure and COVID19). Pts with IEC-EC had lower levels of B cells and higher levels of CAR+ T cells and inflammatory cytokines (eg, IL-6) at onset compared to a GI symptom-free control group at comparable time; while all cilta-cel–treated pts experienced B cell depletion, pts with IEC-EC had more prolonged deficiency. Histological analyses of GI biopsies from 5 pts with IEC-EC revealed plasma cells, normally present in the GI tract, were absent. CAR-T cells were detected and localized to the lamina propria and were not observed juxtaposed with epithelia, making it unlikely direct damage to epithelia was caused by CAR-T cells. Histologic damage was greater in the small intestine (predominantly duodenum) than the colon. Conclusions: Retrospective analysis of cilta-cel trials identified a low IEC-EC incidence (1.2%). Findings support a reactive mechanism involving plasma cell depletion and immune dysregulation rather than direct CAR-T cell cytotoxicity and highlight the importance of upper endoscopy to identify injury patterns in the small intestine that may be less pronounced in the colon. Although the pathophysiology is not fully defined, increased awareness and earlier diagnosis may improve understanding of management and enhance likelihood of IEC-EC reversibility.

Abstract Introduction: The CARTITUDE-4 (NCT04181827) trial compared cilta-cel, a chimeric antigen receptor (CAR)-T cell treatment (tx) targeting B-cell maturation antigen (BCMA), with 2 standard-of-care regimens in patients (pts) with RRMM and 1–3 prior lines of therapy (LOT). Cilta-cel significantly improved overall survival (hazard ratio [HR] 0.55) and progression-free survival (PFS; HR 0.29). The DREAMM-7 (NCT04246047) and DREAMM-8 (NCT04484623) trials evaluated belamaf, an anti-BCMA antibody-drug conjugate (ADC), in combination with bortezomib and dexamethasone (BVd) and with pomalidomide and dexamethasone (BPd), respectively. Both trials demonstrated improved survival and response rates with belamaf in pts with ≥1 prior LOT. International Myeloma Working Group (IMWG) guidance for RRMM tx recommends using anti-BCMA T-cell redirecting therapy (TCRT), such as CAR-T (eg, cilta-cel), before anti-BCMA ADCs (eg, belamaf). As cilta-cel and belamaf have not been compared head to head, we conducted unanchored matching-adjusted indirect comparisons (MAICs) to estimate relative efficacies using CARTITUDE-4 study individual patient data (IPD) and published data from DREAMM-7 and DREAMM-8. Methods: Unanchored MAICs were performed using IPD from apheresed pts in the CARTITUDE-4 cilta-cel arm. Eligibility criteriafrom DREAMM-7 and DREAMM-8 were applied to the cilta-cel cohort. Further adjustments were made by weighting cilta-cel IPDto match reported baseline characteristics (including refractory status [for DREAMM-8], cytogenetic risk, International Staging System stage, and presence of extramedullary disease) from DREAMM-7 and DREAMM-8. Outcomes were compared using weighted IPD for cilta-cel and reported response rates and simulated IPD based on published Kaplan–Meier PFS curves for BVd and BPd. For each matched population, we compared PFS, ORR, and very good partial response or better (≥VGPR) and complete response or better (≥CR) rates. A weighted Cox proportional hazards model was used to estimate PFS HRs and 95% CIs. A weighted logistic regression analysis was used to derive relative response ratios (RRs) with 95% CIs to compare relative tx effects. Results: The MAICs included 208 apheresed pts from CARTITUDE-4 (cilta-cel), 243 pts from DREAMM-7 (BVd), and 155 pts from DREAMM-8 (BPd). To form comparable cohorts, we excluded cilta-cel pts who would not have been eligible for DREAMM-7 (n=87) or DREAMM-8 (n=55). Cilta-cel pts were most commonly excluded from the DREAMM-7 MAIC due to bortezomib refractoriness or anti-CD38 refractoriness (n=55 and n=50, respectively), and from the DREAMM-8 MAIC due to bortezomib refractoriness (n=55). After exclusions, 121 and 153 cilta-cel pts remained in the MAICs with BVd and BPd, respectively. After adjustment, cilta-cel was associated with significantly lower risk of progression or death compared with BVd (HR 0.46 [95% CI 0.28–0.75]; P=0.0020) and BPd (HR 0.61 [95% CI 0.39–0.96]; P=0.0320). ORR was significantly higher with cilta-cel vs BVd (92.9% vs 82.7%; RR 1.12 [95% CI 1.03–1.22]; P=0.0087) and vs BPd (89.3% vs 77.4%; RR 1.15 [95% CI 1.04–1.29]; P=0.0100). Rates of ≥VGPR and ≥CR were also higher with cilta-cel vs BVd (≥VGPR: 89.7% vs 65.8%; RR 1.36 [95% CI 1.21–1.53]; ≥CR: 86.0% vs 34.6%; RR 2.49 [95% CI 2.04–3.03]; both P<0.0001) and vs BPd (≥VGPR: 86.6% vs 63.9%; RR 1.36 [95% CI 1.18–1.56]; ≥CR: 81.8% vs 40.0%; RR 2.05 [95% CI 1.65–2.53]; both P<0.0001). Sensitivity analyses were consistent with the adjusted comparisons and showed statistically significant PFS and tx response benefits with cilta-cel vs BVd and BPd. Conclusions: These MAICs demonstrated superior PFS and response rates with cilta-cel compared with 2 belamaf-containing regimens (BVd and BPd). Results should be interpreted with caution as there were substantial differences in the pt populations of CARTITUDE-4 vs DREAMM-7 and DREAMM-8. However, adjusted cilta-cel cohort sizes remained large enough for robust comparisons that showed statistically significant differences across efficacy outcomes. Another limitation is the remaining potential unmeasured residual confounding differences. Nonetheless, these findings support IMWG guidance recommending anti-BCMA TCRTs prior to ADCs and provide valuable comparative evidence in the absence of head-to-head trials.

Abstract Background: Prognostication for patients with non-transformed relapsed/refractory (R/R) follicular lymphoma (FL) is not well defined. Progression of disease within 24 months (POD24) and number of lines of prior therapy are commonly used to benchmark outcomes and for trial eligibility in this space. However, a comprehensive model for risk prediction in R/R FL is lacking. Here we utilize patients from the LEO Consortium for Real World Evidence (CReWE) and Iowa/Mayo Clinic Lymphoma SPORE MER to develop a clinical prediction model for R/R FL. Methods: Patients with grade 1-3A FL were prospectively enrolled at diagnosis in the MER and/or initiated second line or later therapy (2L+) for non-transformed FL at one of the 8 LEO Centers from a previous LEO CReWE study (Casulo et al, Lancet Haem 2022). All available lines of therapy were abstracted; lines of therapy after histologic transformation were not used in the analyses. A management plan of observation was considered as a type of therapy in the 1L setting but not in the 2L+ setting. Clinical variables and outcomes were abstracted at each line of therapy. Variables considered for modeling included demographics, clinical labs, treatment history, and pertinent clinical variables (including FLIPI and FLIPI24 components). Multiple imputation was used to address missing data in modeling; beta-2 microglobulin (B2M) was unable to be imputed due to the amount of missing data. Index therapy was defined as the date of initiation of a line of therapy (2L, 3L or 4L) for non-transformed FL. The primary endpoint for model development was the time from index therapy until the histologic transformation or lymphoma-related death (HT/LD). Cox proportional hazards models were used for model development. Modeling was first performed separately for each line of therapy and then evaluated across lines. Bootstrapping on imputed datasets was used to assess optimism in model performance. Results: N=1001 patients initiated 2L+ therapy and were utilized for modeling. Of these patients, N=654 initiated 3L and N=344 initiated 4L therapy. Median age at index therapy was (60, 61, and 62) for lines 2-4, respectively. Median follow-up by line of therapy was 8.2, 6.1, and 6,1 years and number of HT/LD events for modeling was 272, 154, and 88, respectively. Observed outcomes decreased modestly as the line therapy increased: median event-free (1.6, 1.5, and 1.2 years) and overall survival (17.6 years, 14.5 years, and 12.3 years), for lines 2-4, respectively. 5-year estimates of HT/LD by line of therapy were 21.6% (95% CI: 18.9-24.3), 23.7% (95% CI: 19.9-27.4) and 29.3% (95% CI: 23.3-34.7), respectively. A clinical prediction model was independently developed for each line of therapy; the final model for each line consisted of the same variables: increasing age, male sex, higher LDH, lower hemoglobin, higher white blood cell count, prior immunochemotherapy exposure, and shorter time since initial diagnosis. The parameter estimates for these variables were broadly similar across the different lines of therapy. The model output is an individual patient's risk of HT/LD. Patients with high-risk FLP-R, as defined using the upper quartile of FLP-R risk scores for each line, had observed 5 year HT/LD rates of 43%, 44% and 51% in lines 2-4, respectively. In contrast, patients with the lower quartile of FLP-R risk scores had observed 5 year HT/LD rates of 10%, 6% and 8% in lines 2-4, respectively. The optimism-corrected c-statistic for the FLP-R model across all lines of therapy was 0.685. This added significant information beyond FLIPI diagnosis (c=0.533) FLIPI at index line (c=0.563), the line of therapy (c=0.525), POD24 status (c=0.578), or all 4 variables combined (c=0.614). Conclusions: The FLP-R model identifies a group of patients with non-transformed FL in the R/R setting who are at very high risk of transformation and/or lymphoma-related death across lines of therapy. FLP-R features 4 of the 5 components of the 1L FLIPI24 prediction model (B2M was unavailable for modeling) with the addition of sex, treatment history and time since initial diagnosis. The number of prior therapies is not sufficient to identify high-risk populations for clinical trial enrichment in the R/R FL setting and model discrimination for FLP-R was greatly improved over FLIPI and/or POD24 across lines of therapy. A Shiny app will be provided for model implementation; external validation is planned.

Abstract Introduction: The CARTITUDE-4 study (NCT04181827), which enrolled patients with lenalidomide-refractory multiple myeloma (MM) after 1–3 prior lines of therapy (pLOT), demonstrated a significant benefit of ciltacabtagene autoleucel (cilta-cel) over established triplet regimens. However, the benefit of cilta-cel for patients with standard-risk cytogenetics remains less defined. Here, we report outcomes in patients with standard-risk cytogenetics from the intent-to-treat and as-treated populations in CARTITUDE-4. Methods: InCARTITUDE-4, patients randomized to the cilta-cel arm underwent apheresis and bridging treatment with either pomalidomide, bortezomib, and dexamethasone (PVd) or daratumumab, pomalidomide, and dexamethasone (DPd), followed by lymphodepletion therapy with cyclophosphamide and fludarabine, and then a single cilta-cel infusion. Progression-free survival (PFS) was assessed using a validated computerized algorithm. The intent-to-treat population included 208 patients; 32 patients progressed or died on bridging therapy, resulting in an as-treated population of 176 patients. Patients with high-risk cytogenetics, defined as del(17p), t(14;16), t(4;14), gain/amp(1q) (n=105), or with unknown cytogenetics (n=12), were excluded from the as-treated analysis. The 12-month minimal residual disease (MRD)-negative complete response (CR) was defined per the International Myeloma Working Group criteria as the proportion of participants with CR or better prior to and at 12 months (±3 months), achieving MRD-negative status at 12 months (+3 months) after cilta-cel infusion, as determined by next-generation sequencing (10-5), prior to progressive disease or subsequent anti-myeloma therapy. For the as-treated population, PFS rates were measured from the time of cilta-cel infusion. Results: In CARTITUDE-4, in the intent-to-treat population, at a median follow-up of 33.6 months, patients with standard-risk cytogenetics had a 30-month PFS rate (95% CI) of 71.0% (58.8–80.2) in the cilta-cel arm (N=69) vs 43.2% (31.3–54.5) in the standard-of-care (SOC) arm (N=70). Patients with standard-risk cytogenetics in the as-treated population (n=59) had a 30-month PFS rate of 80.5% (95% CI, 67.2–88.8). In CARTITUDE-1 (NCT03548207), which evaluated cilta-cel in patients with heavily pretreated relapsed/refractory MM (RRMM; ≥3 pLOT), the 30-month PFS rate among patients with standard-risk cytogenetics (negative for del(17p), t(14;16), or t(4;14); n=68) was 59.9% (95% CI, 47.2–70.5). In the CARTITUDE-4 as-treated population with standard-risk cytogenetics, 8 PFS events occurred within 1 year and 4 PFS events beyond 1 year of cilta-cel infusion. Twenty-six patients achieved MRD-negative CR at 12 months after cilta-cel; 100.0% of these patients were progression free at 30 months. Fourteen patients were not evaluable for MRD due to: calibration failure (n=12), no sample availability for testing (n=1), or indeterminate results post baseline (n=1). Conclusions: The PFS rate at 2.5 years for patients with standard-risk RRMM was higher in CARTITUDE-4 compared with CARTITUDE-1, supporting the use of cilta-cel as early as second line in the treatment course. In CARTITUDE-4 (as-treated population), 80.0% of patients with standard-risk cytogenetics were progression free and off treatment at 2.5 years. In patients with standard-risk disease who achieved MRD-negative CR at 1 year, this rate increased to 100.0%. The low rate of progression events in cilta-cel-treated patients with standard-risk cytogenetics shows the profound benefit of a single cilta-cel infusion in this population.

ABSTRACT Newly diagnosed patients with non‐Hodgkin lymphoma (NHL) often have a history of other diseases, and these comorbidities can impact patient treatment and management options, as well as overall survival (OS). We developed the Lymphoma Epidemiology of Outcomes (LEO) comorbidity index (LCI) as a sum of 10 comorbidities adapted from the Self‐Report‐Generated Charlson Comorbidity Index (SRG‐CCI) for use in the LEO cohort, a national prospective study of newly diagnosed NHL. Of the 5502 participants with self‐reported comorbidity data, 3107 (56.4%) were male and the mean age at diagnosis was 60.9 years (range, 18–99 years). The LCI ranged from 0 to 6, with 48.6% having 0, 30.2% having 1, 21.2% having 2 or more comorbidities. With a median follow‐up of 62.4 months among surviving participants, 2099 patients had an event and 1219 died. Continuous LCI similarly predicted both 1‐year mortality (c‐statistic = 0.654) and OS (c‐statistic = 0.655), while it showed a weaker but still statistically significant predictive ability for lymphoma‐specific (c‐statistics = 0.617) and event‐free (c‐statistic = 0.574) survival. Participants with 1 (HR = 1.21, 95% CI 1.05–1.39) and 2+ (HR = 1.80, 95% CI 1.56–2.08) comorbidities had inferior OS compared to those with no comorbidities after adjustment for age and sex (c‐statistic = 0.654), and performance strengthened after adjustment for the International Prognostic Index (c‐statistic = 0.672). LCI predicted OS most strongly in marginal zone (c‐statistics = 0.748) and weakest in T‐cell (c‐statistic = 0.579) lymphoma. The cumulative incidence of death due to lymphoma, lymphoma treatment, and other causes all increased with increasing comorbidities, with the greatest increase observed for death due to other causes. The LCI performs comparable to other published comorbidity indices, supporting its use in the LEO cohort to better model real‐world outcomes and more generally providing an approach to implementing comorbidity indices in cancer survivorship cohorts.

PURPOSE Public reporting of health care outcomes can have unintended effects such as inappropriate risk aversion in patient selection. METHODS The center-specific survival analysis annually assigns all hematopoietic cell transplantation (HCT) centers in the United States a +1, −1, or 0 score for observed outcomes that are above, below, or within a center-specific predicted range of outcome. For each index year (2012-2016), centers receiving a −1 score after 0 scores in the preceding 2 years were compared with contemporaneous centers with as-predicted outcomes (0 score). Changes in the patient population characteristics in the 3 years before versus the 3 years after the index years were compared between the newly below-expected centers (NBCs) and the controls. A multivariate model adjusted for baseline patient population characteristics and center volume. RESULTS No differences in patient selection behavior were identified when comparing the NBCs with the controls across eight key patient population characteristics. For the statistically modeled (predicted) 1-year overall survival (OS), reflecting a holistic measure of centers' patient population risk, we observed no statistically significant difference in change (−0.23% [95% CI, −1.4 to 0.9]; P = .70). The observed OS increased in both NBCs and controls by 0.9% and 4.5%, respectively, without statistically significant difference in change. CONCLUSION Centers receiving a −1 score were not observed to deviate significantly from patient selection trends in the HCT field. These findings suggest that public reporting of HCT outcomes in the United States does not result in unintended bias against HCT for high-risk patients.

Abstract The cumulative impact of baseline comorbidities on outcomes of chimeric antigen receptor T-cell (CAR-T) therapy is not well established. Therefore, we developed and validated a Cellular Therapy Comorbidity Index (CT-CI) to predict outcomes following CD19-directed CAR-T therapy for large B-cell lymphoma (LBCL). Patients aged 18 or older receiving commercial CAR-T therapy for LBCL during 2017 to 2020 were selected from the Center for International Blood and Marrow Transplant Research registry. Patients were randomly assigned to training or validation cohorts. Comorbidities given weighted scores comprised the CT-CI, which was then validated for overall survival (OS) prognostication. A total of 1916 patients from 97 medical centers were included, with a median age of 64 years (19-91 years). About 70% of patients had comorbidities, such as cardiac disease (12%); diabetes (14%); hepatic dysfunction (mild, 8%; moderate to severe, 2%); psychiatric disturbance (18%); and pulmonary dysfunction (moderate, 15%; severe, 12%). The CT-CI was calculated, stratified patients in 3 categories, and was associated with increased mortality. Patients with higher CT-CI scores had worse OS (CT-CI 1: hazard ratio [HR], 1.37 [95% confidence interval [CI], 1.16-1.62; P< .001]; CT-CI 2: HR, 1.49 [95% CI, 1.17-1.89; P = .001]; CT-CI ≥ 3: HR, 2.55 [95% CI, 1.90-3.42; P< .001]). Higher CT-CI scores predicted treatment-related mortality and relapse. There was no correlation between the CT-CI score and CAR-T–related toxicities. The novel CT-CI score stratifies the effect of patient comorbidities on survival after CAR-T therapy and can be used for clinical decision-making and treatment selection in high-risk populations. However, comorbidities and fear of increased toxicity should not preclude patients from this effective therapy.

Background: Indolent non-Hodgkin lymphomas (iNHL) are incurable and disproportionately affect adults age >65 in whom frailty and functional impairment can impact disease management. The Vulnerable Elders Survey (VES-13) is a 13-item screening tool that incorporates age, self-rated health, physical function limitations, and functional disabilities to identify vulnerable older community-dwelling adults. Adults with a VES-13 score of >3 have a fourfold increased risk of death or functional decline over 2 years as compared to adults with a score <3 (Saliba et al, JAGS 2001). Our team previously showed that VES-13 >3 was associated with a higher risk of 1-year mortality in NHL (OR 3.26, 95% CI 2.15-4.96, Fama et al, ASH 2019), including in adults age <65. In this study, we determined whether VES-13 scores >3 were associated with quality of life (QOL) changes in adults with iNHL across the age spectrum. Methods: We used the Lymphoma Epidemiology of Outcomes (LEO) Cohort Study to identify adults enrolled from 2015-2020 with grade 1-3A follicular and marginal zone lymphoma (FL, MZL) who completed the VES-13 at enrollment and QOL surveys at enrollment and follow-up. The LEO Cohort Study enrolls participants within 6 months of diagnosis and collects information on disease status, QOL, health behaviors, and patient-reported functional assessment. For this analysis we included QOL measured using the Functional Assessment of Cancer Therapy-General (FACT-G) at years 1 and 2 post-enrollment. The FACT-G total score was the sum of 4 subscales (range): physical (PWB, 0-28), social/family (SFWB, 0-28), emotional (EWB, 0-24), and functional (FWB, 0-28) well-being. A higher FACT-G total score (range 0-108) indicated better overall QOL. VES-13 scores ranged from 0 (lowest risk for death or decline) to 10+ (highest risk). Generalized linear mixed models evaluated changes in QOL from baseline based on VES-13 score >3 (vulnerable) vs <3 (non-vulnerable), within groups by age at enrollment >65 and <65. Results: Our study included 1,186 participants: 42% age >65, 54% female, 84% non-Hispanic White, 10% Hispanic, 3.3% Black, and 1.4% Asian/Pacific Islander. Most (68%) were diagnosed with FL. FLIPI was high risk for 20%, and MALT-IPI was high risk for 23%. In the VES-13 <3 group, the mean (SD) baseline FACT-G total score was 86.5 (12.0), PWB 21.0 (3.5), SFWB 24.3 (4.3), EWB 18.8 (3.7), and FWB 22.3 (4.9). In the VES-13 >3 group, the mean (SD) baseline FACT-G total score was 70.4 (16.5), PWB 15.4 (5.6), SFWB 22.3 (5.5), EWB 17.5 (4.5), and FWB 15.3 (6.4); all significantly lower than the VES-13 >3 group (all p<0.01). In adults <65, 63 (9%) had a VES-13 >3, which was associated with a significant improvement from baseline in PWB at years 1 and 2 when compared to VES-13 <3 (changes in baseline PWB were 2.1, 2.9 for VES-13 >3 vs 0.2, 0.1 for VES-13 <3, all p<0.05). Similarly, we observed improvement in FWB from baseline at years 1 and 2 in the VES-13 >3 vs <3 group (2.4, 2.9 vs 0.4, -0.1, respectively all p<0.05). The VES-13 >3 group had a decline in their EWB at 1 year vs the VES <3 group (-0.5 vs 1.2, respectively, p=0.003). At year 2, total FACT-G improved from baseline in the VES-13 >3 group (5.6 for VES-13 >3 vs -0.5 for VES-13 <3, p=0.002). SFWB changes from baseline did not differ between groups. In adults >65, 83 (17%) had a VES-13 >3, which was associated with a significant improvement from baseline PWB (1.3, 1.5 for VES-13 >3 vs. 0.1, -0.1 for VES-13 <3), FWB (3.3, 2.2 for VES-13 >3 vs. 0.5, 0.1 for VES-13 <3), and total FACT-G score (5.2, 3.4 for VES-13 >3 vs. 1.0, -0.4 for VES-13 <3) when compared to VES-13 <3 at years 1 and 2 (all p<0.05). SFWB and EWB changes from baseline did not differ between groups. While there was improvement from baseline PWB and FWB in the VES-13 >3 group, QOL scores across all subscales remained below the VES-13 <3 group in the study period for both age groups. Statistical significance was maintained in models adjusted for baseline characteristics, including initial treatment strategy (observation, systemic, vs local) for both age groups. Conclusion: Although the vulnerable group reported worse QOL throughout the study period compared to the non-vulnerable group, survivors in the vulnerable group saw greater improvement in their physical and functional well-being at 1- and 2-years post-diagnosis. Additional analyses are underway to identify drivers of improvement in physical and functional well-being in vulnerable adults diagnosed with iNHL.

Background: Cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS) are known safety concerns following chimeric antigen receptor (CAR) T-cell therapy. Axi-cel, a CAR T-cell therapy approved in the US for adults with R/R LBCL after ≥ 1 line of prior therapy (2L+), has been administered in the outpatient setting, where a common cause for post-infusion hospital admissions were CAR T-cell-related toxicities (Furqan et al., 2024). Due to reimbursement policies in the US, patients at higher risk for safety events requiring inpatient care within 3 days of infusion may not be ideal candidates for outpatient care. We sought to identify what pre-infusion characteristics may put patients more at risk for developing early CRS and ICANS after axi-cel. Methods : Patients receiving axi-cel for R/R LBCL 2L+ between 01/2021−10/2023 registered in the Center for International Blood and Marrow Transplant Research (CIBMTR) observational database were potentially eligible for analysis. Patients with prior non-transplant cellular therapy or missing data for analysis were excluded. Primary endpoints were onset of early CRS and early ICANS, defined as an any grade event within 3 calendar days of axi-cel infusion (date of infusion is defined as Day 0 and onset of CRS/ICANS before the end of Day 3 is an early event). Early Grade ≥ 2 and early Grade ≥ 3 CRS and ICANS (onset of CRS/ICANS before the end of Day 3 and maximum Grade ≥ 2 and ≥ 3 per ASTCT Criteria) were also evaluated. Patient demographics, ECOG PS, comorbidities, disease characteristics at diagnosis and prior to infusion, line of therapy (LoT), lab assessments prior to infusion, and infusion-related attributes were evaluated by univariate screening and multivariable regression for development of early CRS or early ICANS. Results: A total of888 patients from 105 centers were included in the analysis. Median age was 63 years (45% ≥ 65 years) and 66% were male. At LBCL diagnosis, 22% of patients had a histological transformation. Prior to infusion, 5% of patients had ECOG PS ≥ 2 and 70% had at least 1 clinically significant comorbidity. Half (50%) of patients received axi-cel with 1 prior LoT (2L) and 10% of patients underwent a prior autologous hematopoietic cell transplant. Median time from leukapheresis to infusion was 30 days (interquartile range [IQR] 27−34). Bridging therapy of any type was administered in 59%, and systemic bridging therapy in 48%, of patients and 14% of patients were intended to be treated in the outpatient setting. Thirty percent of patients had chemo-sensitive disease prior to infusion. Median follow-up post-infusion was 12.3 months (range 3−38). Median time to onset of CRS was 4 days (IQR 2−6) and 84% of patients experienced CRS at any time. Early any grade (Grade ≥ 3) CRS was observed in 47% (3%) of patients. In the multivariate analysis of early any grade CRS, only prior LoT (≥ 2 vs 1) was associated with lower risk (OR 0.71; 95% CI 0.55−0.94), but this association was not seen in the analyses of early Grade ≥ 2 nor early Grade ≥ 3 CRS. Notably, 47% and 52% of patients with ≥ 2 vs 1 prior LoT, respectively, only experienced early Grade 1 CRS (defined as fever only). In the analysis of early Grade ≥ 3 CRS, only ECOG PS 0−1 was associated with lower risk vs patients with ECOG PS ≥ 2 (OR 0.17; 95% CI 0.06−0.48). Median time to onset of ICANS was 7 days (IQR 5−9) and 47% of patients experienced ICANS at any time. Early any grade (Grade ≥ 3) ICANS occurred in 9% (5%) of patients. After multivariate adjustment, age < 65 vs ≥ 65 (OR 0.38 [95% CI 0.23−0.62]) and 1 vs ≥ 2 prior LoT (OR 0.58 [95% CI 0.36−0.95]) were associated with lower risk of early any grade ICANS. Age < 65 vs ≥ 65 was also associated with lower risk of early Grade ≥ 3 ICANS (OR 0.31 [95% CI 0.15−0.61]), as was ECOG PS 0−1 vs ECOG PS ≥ 2 (OR 0.30 [95% CI 0.11−0.83]). Comorbidities were evaluated and no significant associations with early CRS nor early ICANS were found. Conclusions: This analysis of readily available clinical variables in a real-world contemporary cohort of patients treated with axi-cel demonstrates that younger patients and patients with better ECOG PS have lower risk of early CRS and early ICANS. Axi-cel in 2L setting, vs 3L+, is associated with lower risk of early any grade ICANS and comparable early Grade ≥ 2 CRS, but a higher risk of early fever. These results further enable a more informed decision of patient selection for physicians, which is critical for the success of outpatient administration.

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