Ansell, Stephen M.

Introduction: Adults older than 60 years constitute 20-25% of newly diagnosed classic Hodgkin lymphoma (cHL) and have inferior outcomes compared to younger patients (pts). Salvage therapy followed by an autologous stem cell transplant (ASCT) is a potentially curative option for pts with relapsed/refractory (R/R cHL). There is limited data regarding outcomes of older adults with R/R cHL who undergo ASCT in the current era where novel agents are employed in the R/R setting, in comparison with younger patients. Methods: This multicenter, international, retrospective study of 18 participating institutions included adults with R/R cHL who underwent ASCT from January 1, 2010 through December 31 2020. Retrospective chart review was performed to collect data on patient and disease characteristics at relapse, including lines and type of salvage therapy, pre-ASCT response by PET, and use of brentuximab vedotin (BV) as consolidation post-ASCT. Study objectives were to assess progression-free survival (PFS), overall survival (OS), and the probability of non-relapse mortality (NRM) with relapse as a competing event. NRM was defined as death without preceding relapse. Results: Of the total 1172 adults with R/R cHL enrolled in the parent cohort, 96 (8.1%) were age 60 years or older at the time of ASCT. In this older cohort, the median age was 66 years (range: 60-72). 54 (56%) were age 60-64, 31 (32%) were of age 65-69 and 11 (11%) were of age 70-72. 59 (61%) were male, 63 (66%) had advanced stage disease, 17 (18%) had bulky disease, 37 (39%) had B symptoms and 38 (40%) had extranodal disease. All patients (pts) received ABVD or ABVD-like frontline therapy. The median time to relapse was 6 months (range: 0-174). 48 pts (50%) relapsed within a year after completion of frontline treatment and 25 (26%) had primary refractory disease. Salvage therapy prior to ASCT included platinum-based chemotherapy (65%), BV-based regimen (34%), and PD-1 inhibitor-based regimens (3%). 16 pts (16%) underwent ASCT after >1 line of salvage therapy and 75 (78%) underwent ASCT after achieving a complete metabolic response (CMR). 14 pts (14.6%) received BV consolidation. Median follow-up for entire population was 53.4 months (range: 0.3-199.0). In older adults, the 5-year PFS was 54.2% (CI95: 43.4-67.6) not statistically different compared to pts <60 years (67.7% (CI95: 64.3-71.3), p=0.2). However, 5-year OS was inferior in older adults: 71.9% (CI95: 43.4-67.6) vs. 82.6% (CI95: 43.4-67.6) in pts <60 years (p <0.0001)). In pts ≥60, 26 (27%) died including 12 (12.5%) without preceding relapse. Older adults had 3-month, 1-year and 5-year probability of NRM of 5.2% (CI95: 2.2-12.2), 7.5% (CI95: 3.6-15.3), and 10.9% (CI95: 5.8-20.8), respectively. NRM was significantly higher in older adults compared to pts <60 who had 3-month, 1-year and 5-year probability of NRM of 0.3% (CI95: 0.1-1.0), 0.9% (CI95: 0.5-1.7), and 2.5% (CI95: 1.6-3.9), respectively (p<0.0001). Older adults had 3-month, 1-year and 5-year probability of relapse of 1% (CI95: 0.2-7.3), 7.5% (CI95: 3.6-15.3), and 28.6% (CI95: 19.1-42.1), respectively, which did not differ significantly from younger pts (p=0.3) who had 3-month, 1-year and 5-year probability of relapse of 0.6% (CI95: 0.3-1.3), 5.1% (CI95: 3.8-6.6), and 29.9% (CI95: 26.6-33.5), respectively. Conclusions: Although older adults with cHL are more likely to relapse after frontline treatment, only a minority of pts (<10%) in this large multicenter cohort underwent ASCT at age ≥60. In select older adults who underwent ASCT, the risk of relapse was similar to younger pts, but NRM was significantly higher, especially in the early post-ASCT period. Detailed assessment of comorbidity scores, toxicities of salvage therapies, and prognostic factors will be presented at the conference.

Background: In the ZUMA2 study, a higher peak chimeric antigen receptor (CAR) T cell expansion correlated with better outcomes in patients with relapsed/refractory (R/R) mantle cell lymphoma (MCL) receiving brexucabtagene autoleucel (brexu-cel). However, in clinical practice, peak CAR T cell expansion is not routinely assessed for. Since patients receive lymphodepleting agents prior to CAR T cell infusion, it is hypothesized that peak absolute lymphocyte count (ALC), which can be easily measured, in the first two weeks after CAR T cell infusion represents peak CAR T cell expansion. Our group previously showed that peak ALC was associated with response durability and outcomes in patients with R/R large B-cell lymphoma receiving axicabtagene ciloleucel. In this retrospective study, we assessed the association of peak ALC with clinical outcomes after brexu-cel infusion in patients with R/R MCL. Methods: Patients with R/R MCL who received brexu-cel between March 2020-March 2024 at Mayo Clinic were included in this analysis. Peak ALC was defined as maximum ALC value in the first 14 days after CAR T cell infusion. Progression-free survival (PFS) was defined as time from CAR T cell infusion to lymphoma relapse, progression, or death, and overall survival (OS) was defined as time from to CAR T cell infusion to death. The optimal cutoff point for peak ALC that correlated with PFS was determined by the log-rank method using the Cutoff Finder application, a computational method which fits Cox proportional hazard models to the dichotomized variable and survival. The optimal cutoff was the point with the most significant PFS split by log-rank test. Results: A total of 43 patients were identified. The median age at time of CAR T cell infusion was 68 years (IQR 58, 73). 34 (79%) were male, 28 (74%) had Ki-67 >30%, 14 (33%) had blastoid or pleomorphic histology, and 19 (44%) had TP53 mutation or deletion. Median number of prior lines of therapy was 3 (IQR 2, 4) and 13 (30%) received prior autologous stem cell transplant. 32 (74%) received bridging therapy prior to CAR T cell infusion. All patients received fludarabine plus cyclophosphamide for lymphodepletion. The best overall response rate was 88%, with a complete response rate of 84%. After a median follow-up of 25.6 months (95% CI 14.4-31.4), the median PFS and OS were 16.6 (95% CI 8.6-NE) and 35.1 (95% CI 24.5-NE) months, respectively. The incidence of cytokine release syndrome (CRS) was 95% (4.7% grade ≥3). The median time to initial CRS and maximum grade CRS onset was 4.5 days (IQR 1, 6.25) and 5.5 days (IQR 2.75, 7), respectively. The incidence of immune effector cell-associated neurotoxicity syndrome (ICANS) was 65% (18% grade ≥ 3). The median time to initial and maximum grade ICANS onset was 9 days (IQR 6, 11) and 10.5 days (IQR 7, 12), respectively. The median ALC at time of CAR T cell infusion was 0.03 x109/L (IQR 0.02, 0.05). Among 37 patients with identifiable ALC peaks, the median ALC peak was 0.84 (IQR 0.41, 2.45) and the median time to peak ALC was 12 days (IQR 9, 12). 6 patients had no identifiable peak ALC due to no frequent CBC differentials post CAR T cell infusion. A peak ALC of ≥0.45 × 109/L correlated significantly with PFS, with median PFS not reached for the group with peak ALC of ≥0.45 × 109/L (n=27) compared to 9.3 months for the group with peak ALC of <0.45 × 109/L (n=10) and a 1-year PFS rate of 68% vs 33% (p=0.02). OS was also significantly higher in patients with a peak ALC of ≥0.45 × 109/L (median OS not reached vs 11 months, 1-year OS rate of 84% vs 44%, p=0.01). The incidence of ICANS was significantly higher (74% vs 30%, p=0.02) in patients with a peak ALC of ≥0.45 × 109/L. Numerically, the group with peak ALC of ≥0.45 × 109/L had a later onset of initial and maximum grade ICANS, but the difference was not statistically significant. Peak ALC was not associated with ICANS severity. There was a trend towards higher incidence of CRS (100% vs 80%, p=0.07) and earlier CRS onset (3 vs 5 days, p=0.07) in the high peak ALC group. There was no difference in CRS severity. Conclusion: Peak ALC after CAR T cell infusion was significantly associated with better PFS and OS and higher incidence of ICANS in patients with R/R MCL receiving brexu-cel. Peak ALC may serve as a surrogate measure for peak CAR T cell expansion in routine practice, but confirmatory studies are needed. Larger studies are warranted to confirm the association of peak ALC with PFS, OS and toxicities in patients with R/R MCL receiving brexu-cel.

Background: The Phase 1/2 ECOG-ACRIN sponsored intergroup trial E4412 (NCT01896999) investigated brentuximab vedotin (BV) combined with the checkpoint inhibitors nivolumab (N) and ipilimumab (I) in patients with relapsed or refractory classic Hodgkin lymphoma (R/R HL). Here we present the safety and efficacy results for the cohort of pediatric patients aged 12-17 years. Methods: Patients were randomly assigned to treatment with the doublet of BV/N or triplet of BV/N/I, with the following dosing: BV 1.8mg/kg every 21 days for up to 16 cycles; Nivolumab 3mg/mg every 21 days for up to 34 cycles; Ipilimumab 1mg/kg every 9 weeks for up to 9 doses. Response evaluation by PET/CT was performed after 4 cycles. Transplant-eligible patients with CR could discontinue protocol therapy to receive a consolidative autologous stem cell transplant (ASCT). Results: Sixteen pediatric patients with a median age of 16 (range 12-17) were randomized. 75% of patients had received only 1 prior line of treatment with none having previously received BV and only 1 patient with prior ASCT. All patients were treated (8 in each arm) and included in the pediatric safety analysis cohort receiving at least one cycle of therapy. There were four reported grade (gr) 3 or greater toxicities: lymphopenia (gr 3) and neutropenia (gr 3) on the BV/N arm; and neutropenia (gr 4) and rash (gr 3) on the BV/N/I arm. Rash of any grade was more common in patients treated with BV/N/I (n=6) compared to BV/N (n=1). Peripheral sensory neuropathy was reported in 2 patients (BV/N, gr 2, n=2) There were no grade 5 toxicities. Fourteen patients (7 in each arm) were evaluable for response. The CR rate on both the BV/N and BV/N/I arms was 100%. The median survival follow up was 23.7 months (15.7 - 31.7). The 24-month PFS was 57% for BV/N and 100% for BV/N/I. Six patients (2 BV/N; 4 BV/N/I) discontinued protocol therapy to receive a consolidative ASCT. The 24-month PFS for patients consolidated with an ASCT was 100%, with all events occurring in patients randomized to BV/N, but not receiving an ASCT. Conclusion: Pediatric patients receiving both BV/N and BV/N/I had 100% CR rate with limited toxicity. Although this is a small cohort, there have been no progression events observed in patients treated with BV/N/I, including 3 patients treated without a consolidative ASCT.

Introduction MYD88 L265P mutations (MUT) are found in 90% of patients with Waldenstrom macroglobulinemia (WM) and lead to the activation of pro-survival signaling. Limited literature has demonstrated that patients with MYD88 wild-type (WT) WM have poorer responses to conventional therapies and a higher likelihood of histological transformation. Increasingly the role of non-coding genomics in lymphomagenesis has demonstrated importance and currently, the epigenetic landscape of MYD88 WT WM remains underexplored. This study utilized a multi-omics approach to assess DNA methylation in MYD88 WT WM compared to MYD88 MUT patients and controls. Methods Bone marrow samples were prospectively collected from 20 subjects [3 MYD88 WT/CXCR4 WT WM, 12 MYD88 MUT WM and 5 normal controls] and positive selection for CD19+ and/or CD138+ B cells was performed. The analysis focused on the comparison between MYD88 WT WM to normal controls and MYD88-WT to MUT WM. Genome-wide DNA methylation analysis was performed, and CpG methylation ratios were segmented into 200-bp regions. Differentially methylated regions (DMRs) were determined using a Q-value <0.05 and absolute methylation difference ≥10%. Next, RNA-seq data was interrogated and differentially expressed genes (log2fold change>0.5 or <-0.5, false discovery rate<0.05) with corresponding promoter hypo- or hypermethylation were assessed. Ingenuity Pathway Analysis was used to determine potentially epigenetically regulated pathways using a corrected p<0.05. Results Comparing MYD88 WT WM samples to controls, a statistically greater number of hypermethylated DMRs were observed across genomic regions (hyper- vs hypomethylated): promoter (29129 vs 6300), 3'untranslated region (UTR) (2068 vs 1551), 5'UTR (10169 vs 735), intron (30344 vs 24511), exon (2224 vs 6855), CpG island (30372 vs 1240) and CpG shore (14477 vs 5872) (all p<0.001). Next, mRNA analysis demonstrated that 214 genes were differentially up-/downregulated with concordant promoter hypo-/hypermethylation. On the assessment of promoter-methylation-based pathways, multiple pathways involved in cell signaling, proliferation, gene regulation, cytokine and immune signaling and metabolism were found to be deregulated. Most pathways were found to be negatively enriched in MYD88 WT patients compared to controls including several members of interleukin (IL) signaling (IL-2, IL-3, IL,7) and regulators of cell proliferation and signaling including mTOR, PI3K/AKT, and p53. Positive enrichment of the PTEN, FGFR3 and ERK/MAPK pathways were observed. Underlying multiple pathways was promoter hypermethylation with corresponding mRNA downregulation of AKT3 and PIK3CA. Furthermore, promoter hypomethylation with transcript upregulation of PTEN was observed. Next, in comparison of MYD88 WT to MUT samples, a statistically greater number of hypermethylated DMRs were observed across genomic regions (hyper- vs hypomethylated): promoter (24829 vs 2544), 3'UTR (3534 vs 378), 5'UTR (6111 vs 605), intron (52292 vs 5360), exon (21066 vs 2187), CpG island (18334 vs 1551) and CpG shore (16351 vs 1957) (all p<0.001). Assessing mRNA expression, 354 genes were up-/downregulated with concordant promoter hypo-/hypermethylation. Pathway analysis revealed positive enrichment of the mitotic G1 phase to G1/S transition pathway with upregulation of the CDK4, LYN, and PSMA6 transcripts in MYD88 WT compared to MUT samples. Further, negative enrichment of cell signaling regulators including the RHO GTPase family, IL pathways (IL-4, IL-8, IL-13, IL-17) and integrin signaling were found in MYD88 WT compared to MUT samples. Underlying multiple pathways were downregulation with promoter hypermethylation of BCL2, an important regulator of apoptosis. Conclusion Genome-wide methylation analysis of MYD88 WT WM revealed a unique DNA methylation profile, with potential epigenetic alteration of key oncogenic transcripts and pathways. The negative enrichment of cell signaling and cytokine/inflammatory pathways in MYD88 WT samples compared to controls and MYD88 MUT WM suggests an epigenetic mechanism for immune evasion and potentially underlies the reduced response to conventional WM-directed therapies. Overall, this study reveals that MYD88 WT WM is epigenetically distinct from MYD88 MUT WM and regulators such as methylation may underlie the unique clinical and phenotypic properties observed.

Abstract Waldenstrom macroglobulinemia (WM) is a lymphoplasmacytic lymphoma associated with an increase in serum immunoglobulin M (IgM) monoclonal protein. The underlying causes of the disease are still not fully understood, but cells in the bone marrow (BM) microenvironment (TME) are anticipated to play a significant role in disease progression. We previously reported that myeloid-derived suppressor cells (MDSCs), a phenotypically heterogeneous group of cells known for their ability to suppress immune responses, are expanded in the bone marrow of patients with WM and that the expansion of MDSCs is particularly notable for increased numbers of polymorphonuclear MDSCs (PMN-MDSCs). In the present study, we evaluated the ability of WM cells to attract MDSCs to the tumor microenvironment (TME). We also evaluated whether PMN-MDSCs suppress the cytotoxic function of T-cells and thereby promote the survival of WM cells. Our study confirms the expansion of MDSCs, notably PMN-MDSCs in BM of WM patients as compared to normals. We also found that PMN-MDSCs expressing CD66b was a predominant population in WM patients. To determine the phenotype and transcriptome of both PMN-MDSCs and monocytic MDSCs (M-MDSCS) in WM, we compared BM aspirates from WM patients to normal bone marrow (NBM) and performed cellular indexing of transcriptomes and epitopes by sequencing (CITEseq) analysis (WM=3, NBM=2) followed by qPCR validation. We found that MDSCs in WM express significantly higher levels of HIF1-α overall (p<0.02) compared to NBM. Furthermore, PMN-MDSCs are more abundant in WM bone marrow than M-MDSCs and express significantly higher levels of CXCR4 (p<0.001), myeloperoxidase (MPO; p<0.0003), and azuricidin (AZU1; p<0.0004), suggesting an activated phenotype. To determine whether WM cells attract MDSCs to the BM, we performed a transwell assay and showed that WM cells (BCWM.1 cell line) attracted MDSCs, particularly PMN-MDSCs, to a greater extent than M-MDSCs (n=3; p<0.001). We next evaluated whether MDSCs prevent cytotoxic T-cells from lysing WM cells. In-vitro co-culture studies with BCWM.1 cells and T-cytotoxic cells (B:CD8-T) showed that T-cytotoxic cells were able to lyse the WM cell line by 46.4% , (median range 46.4 - 47.8%, p=0.001). However, when BCWM.1 cells and T-cytotoxic cells were co-cultured in the presence of MDSCs (i.e B:CD8-T:M), the specific lysis of BCWM.1 cells was reduced by 12.6% respectively (range 2.2- 12.6%, p<0.001). Furthermore, we observed that B:CD8-T:M co-culture significantly reduced CD8-T cell activation as compared to activated T cells alone (17.9%) (median range 17.8- 18%, p<0.001). In contrast, no affect was observed with B: CD8-T coculture by 91% (range 90.6- 91.4% p<.001) confirming that MDSCs suppress CD8-T cell activation. Our study therefore provides evidence that MDSCs in WM have an activated phenotype and that PMN-MDSCs in WM are attracted by malignant cells in the bone marrow. Furthermore, we find that the increased presence of PMN-MDSCs in the WM bone marrow environment suppresses T-cell lysis of malignant cells and may thereby contribute to disease progression. These findings provide a strong rationale for targeting MDSCs as a potential therapeutic strategy in WM.

Background: Despite effective front-line therapies, DLBCL & MM have high relapse rates. Novel therapies like CAR-T & bispecific antibodies (BsAb) offer deep & durable remission compared to salvage therapies, but have a unique toxicity profile (TP) that requires monitoring. With no head-to-head trials, the rationale for therapy selection may vary. This study explores provider choices, sequencing preferences, & access barriers. Methods: Two anonymous surveys (MM and DLBCL) of US-based Hematologists were conducted from 2/2024 to 6/2024, on practice settings, CAR-T & BsAb availability, treatment preferences & barriers. Responses were analyzed to assess preferences across clinical scenarios. Results: Surveys were completed by 37 MM & 45 DLBCL providers. Most were at centers offering both CAR-T & BsAb. Most gave CAR-T inpatient, & BsAb outpatient. CAR-T was given by 73% MM providers & 66% DLBCL (92% used Cilta-cel, 96% used Ide-cel; 100% used Axi-cel, 90% used Liso-cel & 73% Tisa-cel). In MM, 78% used Teclistamab, 60% Talquetamab & 24% Elranatamab. In DLBCL, 62% used Epcoritamab & 40% Glofitamab. Providers preferred CAR-T over BsAb in MM after 4+ prior lines of therapy (LOT) (89%), & in DLBCL after 2+ prior LOT (93%). CAR-T was favored more among academic providers & those at CAR-T centers. Practice volume did not impact selection. Among providers at centers with BsAb-only, CAR-T was preferred by 60% (MM) and 50% (DLBCL). Providers at centers without both favored CAR-T (MM: 75%, DLBCL: 86%). CAR-T was chosen for better outcomes, short treatment, center choice, & prior experience. Other factors that influenced decisions were lower incidence of cytopenia/infection & “BsAb effective post-CAR-T, less so vice versa” (MM), & “curative potential of CAR-T” (DLBCL). Logistical barriers & institutional constraints influenced BsAb selection: CAR-T unavailability, access to specialized centers, referral complexity, insurance delay, manufacturing delay & hospitalization needs. In MM, 78% providers preferred Cilta-cel over Ide-cel, especially academic providers & those with CAR-T experience. CAR-T volume did not impact selection. Cilta-cel was preferred due to perceived better response rate (RR), more experience, “progression-free survival (PFS) benefit”, center choice, & logistical issues with Ide-cel. Ide-cel was selected due to center choice, favorable TP & insurance preference. Teclistamab was preferred by 78% due to more experience, better RR, TP & center choice, Elranatamab by 11% (better TP, RR, & “PFS”), & Talquetamab by 11% due to having a non-BCMA target. Academic providers preferred Teclistamab (89% vs 50%), & nonacademic providers preferred Talquetamab (38% vs 4%) and Elranatamab (13% vs 8%). In DLBCL after 2+ LOT, 69% favored Axi-cel due to prior experience, RR, center choice, & logistical issues with other products. Liso-cel & Tisa-cel were chosen by 27% & 2%, respectively, due to favorable TP. Axi-cel was also preferred 2nd line by 73% for similar reasons, while 24% favored Liso-cel for its favorable TP. Epcoritamab was preferred by 56% (subcutaneous injection, more experience & center choice) & Glofitamab by 42% (shorter treatment duration, easy administration, more experience, & center choice). Practice setting & volume did not impact selection between products in DLBCL. InBCMA-naïve MM pts, majority (97%) chose an anti-BCMA agent over GPRC5D due to better RR, TP, prior experience, & center choice. InBCMA-exposed pts, most (92%) favored an anti-GPRC5D agent. In contrast in DLBCL, 80% chose CD19 CAR-T after prior CD19-directed therapy, & 18% chose CD20 BsAb. Therefore, antigen escape was less of a concern in DLBCL vs MM. For relapse after 2nd line CAR-T in DLBCL, 78% preferred BsAb over other salvage options due to better RR, TP, & more experience. Providers prioritized RR, survival, & TP in decision making. Treatment logistics, duration, frequency, & cost were less crucial. MM providers also prioritized quality of life, which was less so in DLBCL. There were no differences in priority based on practice setting & experience with CAR-T. Conclusion: The study highlights factors influencing therapy choices in MM & DLBCL. Despite CAR-T's potential for better outcomes, significant access barriers exist. Efforts to streamline referral pathways, logistics, & expanding availability are crucial to improve outcomes. Understanding these preferences & barriers can guide future management strategies.

ABSTRACTDiffuse large B‐cell lymphoma (DLBCL) patients that fail to achieve a complete metabolic response with frontline immunochemotherapy have a poor prognosis. Genomic profiling has led to a broader understanding of the molecular drivers in DLBCL, but it is unknown how well current classifiers identify patients that will experience primary treatment resistance (PTR). Using whole exome and RNA sequencing data from newly diagnosed DLBCL patients, we evaluated the genomic landscape of PTR and compared it to that of non‐PTR DLBCL. We found a significant increase in the frequency of TP53 (34% vs. 15%, p = 0.005) and ARID1A mutations (21% vs. 7%, p = 0.007) in PTR cases, with pathway analysis further demonstrating a downregulation of TP53 and an increase in chromatin modifying pathways. These results suggest that TP53 and ARID1A may be key mediators of PTR and important pathways contributing to the poor outcomes. We found that the current molecular classifiers were unable to identify PTR cases at diagnosis. However, our newly identified high‐risk signature identified 46% of PTR cases at diagnosis. Overall, these results contribute to our understanding of the genomic landscape of patients with primary treatment resistance.

Abstract Background Hypomagnesemia has been correlated with inferior outcomes in patients with large B cell lymphoma (LBCL) undergoing stem cell transplants. As T-cell and myeloid cell dysfunction have been associated with low magnesium conditions, we investigated whether serum magnesium (Mg) levels could predict clinical outcomes in LBCL patients who received chimeric antigen receptor T-cell therapy. Methods Patients with LBCL who received axi-cel under the ZUMA-1 trial or as FDA approved therapy at Mayo Clinic were examined. Serum samples were obtained at specified time points and cytokine analysis was performed. Single cell RNA sequencing was performed on peripheral blood mononuclear cells. The Student T-test, Kruskal Wallis, or Fisher's Exact Tests were used to compare differences in demographics across Mg levels. Survival curves were plotted using the Kaplan-Meier methodology and compared using the Wilcoxon test. Results We found that hypomagnesemia before lymphodepletion chemotherapy predicted for inferior progression-free and overall survival in the pivotal study ZUMA-1 (NCT02348216). These results were validated in an independent cohort of LBCL patients receiving axicabtagene ciloleucel (axi-cel) at Mayo Clinic. Hypomagnesemia correlated with increased inflammatory serum markers and cytokine levels including ferritin, IL-6, IL1Ra, IL-8, and MIP1a. scRNAseq analysis unveiled altered immune interactions between monocytes and T cells with a concordant immune suppressive transcriptome. Conclusions Hypomagnesemia at the time of CAR-T infusion associates with an unfavorable inflammatory profile and decreased response and survival in LBCL patients receiving axi-cel. These findings suggest a potentially actionable prognostic factor for patients with large cell lymphoma undergoing CAR-T.