Ansell, Stephen M.

Background and Methods: IEC-HS is a hyperinflammatory state with high morbidity and mortality. Effective interventions to reverse the process early in the clinical course may be critical to improve outcomes. We previously examined cytokine differences between IEC-HS and other secondary hemophagocytic lymphohistiocytosis, and found significant differences in the patterns and outcomes.(1) This study examines cytokine profiles (CP) of patients treated with CAR-T from 9/2019 to 3/2024 who developed CRS, MAS-L and IEC-HS. Demographics and lab results were compared among the three groups and correlated with outcomes. Results: CP was tested in 113 of 366 CAR-T patients: 74 with CRS, 19 with MAS-L, and 20 with IEC-HS. The racial distribution was 93% White/Caucasian, 2% Black or African American, 1% Asian, 1% Native American and 3% other or unavailable. No differences were seen in demographics between groups except a higher percentage of patients with ECOG performance status ≥2 in IEC-HS (p=0.037). Incidence of IEC-HS by disease: 3.6% (7/193) in lymphoma, 5% (8/159) myeloma and 28.5% (4/14) B-acute lymphoblastic leukemia (p=0.0002). Incidence of IEC-HS by CAR-T product: 3% (4/150) in Axi-cel, 23% (6/26) in Brexu-cel, 8% (1/13) in Tisa-cel, 5% each (3/60) in Cilta-cel and Ide-cel, and 0/17 in Liso-cel (p=0.001). Prior to lymphodepletion, labs were already different among the CRS, MAS-L, and IEC-HS groups: hemoglobin (g/dL: 11.1, 9.6, 8.45); platelets (x109/L: 168, 116, 52.5); ferritin (µg/L: 115, 946, 1944). CP was started when patients needed a second dose of tocilizumab or concern for developing MAS-L/IEC-HS, and continued daily until clinical improvement or resolution of inflammatory state. Tocilizumab and dexamethasone use were similar across groups. Other therapies used were vasopressors (3%, 10.5%, 45%; p<0.0001), Methylprednisolone (20%, 31.6%, 50%; p=0.027), Anakinra (12%, 63%, 85%; p<0.0001), Siltuximab (9.5%, 16%, 30%; p=0.06), Basiliximab (30% of IEC-HS), and continuous veno-venous hemofiltration (30% of IEC-HS). Among the first CP, the CRS group had lower levels of cytokines (in pg/mL) compared to MAS-L and IEC-HS groups: TNF (31, 62.9, 47.7), IL-10 (29.3, 97.7, 169), IL-18 (794, 1353, 2011), IFN-gamma (74, 281, 250), MCP-1 (689, 2722, 2485.5), MIP-1 alpha (220, 234, 247.5), IL-6 (>315: 45%, 79%, 70%), soluble IL-2R alpha (>4000: 45%, 84%, 70%). The percentage of patients who received anakinra before CP1 were 4% (CRS), 21% (MAS-L) and 25% (IEC-HS) (p=0.007). IL-1 beta was below threshold among all patients who received anakinra in CRS and MAS-L and 75% in IEC-HS, suggesting rapid and effective IL-1 suppression by anakinra except in IEC-HS. Cytokines trends 24 hours and 48 hours after the first CP differed between MAS-L and IEC-HS. MAS-L had decreased TNF (62.9, 40.4, 18.5) and MCP-1 (2722, 355, 104) while these cytokines remained elevated or increased in IEC-HS (TNF: 47.7, 105.5, 62.6; MCP-1: 2486, 2276, 1585). IL-18 was minimally elevated in MAS-L (1353, 1955, 3068) and significantly increased in IEC-HS (2011, 2420, 4048). Notably, CP2 and CP3 levels of these cytokines in IEC-HS were statistically significantly higher than corresponding CPs among CRS and MAS-L. In addition, patients who died with persistent E. faecium bacteremia had higher IL-18 on CP3. Infections occurred in 43%, 58%, and 85% respectively (p=0.002), including E. faecium bacteremia (3%, 5%, 35%; p=0.0004), CMV viremia (30% of IEC-HS patients vs. 11% of non-IEC-HS; p=0.025), and invasive fungal infections (15% of IEC-HS patients; p=0.0001). Between the IEC-HS and non-IEC-HS groups, day 100 non-relapse mortality was 35% vs. 0 (p<0.0001), day 100 all-cause mortality was 45% vs. 3% (p<0.0001), and E. faecium bacteremia-related deaths were 50% vs. 1% (p<0.0001). Conclusions: CRS, MAS-L andIEC-HS are known complications of CAR-T. Cytokine-directed therapy can modify the cytokine milieu and control the inflammatory process. However, excess immunosuppression may result in life-threatening infections. Further studies are needed to identify optimal biomarker-guided immunosuppressive strategies to control the inflammatory cascade, while avoiding excess immunosuppression. References: 1. Leung, Nelson, et al. “Outcomes of patients who received CAR T cell therapy and developed IEC-HS treated with cytokine directed therapy.” (2024): 7516-7516.

Abstract T cell Ig and ITIM domain (TIGIT) is an immune checkpoint molecule and its ligation delivers an inhibitory signal to T cells that negatively regulates anti-tumor responses. However, the expression and biological relevance of TIGIT in B-cell non-Hodgkin lymphoma (NHL) is completely unknown. To phenotypically characterize TIGIT+ T cell subsets, we profiled TIGIT-expressing CD4+ and CD8+ T cells from biopsy specimens of B-cell NHL. TIGIT expression was not detectable on T cells from peripheral blood, however, TIGIT is constitutively expressed on CD4+ T cells from biopsy specimens of B-cell NHL with a median of 44.8% (range: 25.9–62.2, n=8) of CD4+ T cells expressing TIGIT. By profiling the CD4+TIGIT+ T cells, we observed that CD25 was highly expressed on intratumoral CD4+TIGIT+ T cells. Intracellular staining revealed that Foxp3 was expressed by intratumoral CD4+TIGIT+ T cells. These intratumoral CD4+TIGIT+ T cells expressed high level of chemokine receptor CCR4 and were absent of IL-7 receptor-α (CD127). Functionally, CD4+TIGIT+ T cells displayed reduced cytokine production, as the number of IFN-γ- and TNF-α-producing cells was lower in the TIGIT+ population than in TIGIT− T cells. While TIGIT expression can be induced by TCR activation, treatment of T cells with IL-2 and TGF-β inhibited TCR-mediated TIGIT induction. Furthermore, lymphoma B cells were involved in TIGIT induction as in vitro depletion of lymphoma B cells altered upregulation of TIGIT on CD4+ T cells in B-cell NHL. Taken together, these results indicated that constitutive expression of TIGIT defines a CD4+ population with similar phenotype to regulatory T cells. Inhibition of TIGIT signaling may be an additional mechanism to prevent T-cell suppression in B-cell NHL

Abstract Background: DLBCL is the most common non-Hodgkin lymphoma subtype in western countries and is clinically heterogeneous. Gene expression profiling has identified two major biologically distinctive DLBCL subtypes defined by their cell-of-origin (COO): germinal center B-cell (GCB) - characterized by BCL2 rearrangement and C-REL amplification, and activated B-cell (ABC) - characterized by constitutive activation of the NF-kB pathway. We evaluated putative DLBCL risk factors for etiologic heterogeneity as defined by COO. Methods: We used a clinic-based study of newly diagnosed NHL cases and frequency matched controls, enrolled from 2002-2014, with a total of 687 DLBCL cases and 2253 controls for this analysis. Using formalin-fixed, paraffin-embedded tumor tissue, we determined COO by either digital expression profiling (NanoString; classified as GCB, ABC, undetermined) or clinically using the Hans algorithm (immunohistochemical markers; classified as GCB, non-GCB, undetermined). Integrating these two sources of COO data, there were 271 GCB, 170 non-GCB, and 246 undetermined/missing (mainly due to lack of tissue) cases. Risk factor data were collected from self-administered questionnaires and included family history of hematologic malignancy; history of atopy, allergy, asthma, eczema, or autoimmune disease; blood transfusion; vaccination history; regular low-dose aspirin use; body mass index (BMI) 2 years prior diagnosis/enrollment; smoking history; alcohol consumption (never/current/former); leisure-time physical activity; and recreational sun exposure. Polytomous logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals for COO subtypes, adjusted for age, sex and residence. Results: The median age of cases was 64 years with 55% male; the median age of controls was 64 years and 53% male. The association with BMI (30+ vs. 18.5-24.9 kg/m2) was stronger for non-GCB (OR=2.21; 1.40-3.49) than for GCB (OR=1.70; 1.21-2.40) DLBCL (P-heterogeneity 0.02), while a family history of hematologic malignancy was associated with non-GCB (OR=2.27; 1.47-3.50) but not GCB (OR=1.30; 0.86-1.96) DLBCL, although the P-heterogeneity was not significant (P=0.13). For GCB, there was an inverse association with former (vs. never) alcohol use for GCB (OR=0.57; 0.39-0.83) but not for non-GCB (OR=0.98; 0.61-1.57) DLBCL (P-heterogeneity 0.007), and an inverse association with regular use of low-dose aspirin for GCB (OR=0.64; 0.47-0.87) but not for non-GCB (OR=0.88; 0.61-1.25) DLBCL (P-heterogeneity 0.05). No other risk factors evaluated showed important heterogeneity by COO. Conclusions: These initial results suggest most DLBCL risk factors do not show etiologic heterogeneity by DLBCL COO, although associations with BMI and family history with non-GCB DLBCL and alcohol and low-dose aspirin use with GCB DLBCL warrant follow-up. Citation Format: Geffen Kleinstern, Dennis P. Robinson, Lisa M. Rimsza, Melissa C. Larson, Rebecca L. King, Grzegorz S. Nowakowski, Carrie A. Thompson, Stephen M. Ansell, Matthew J. Maurer, Andrew L. Feldman, Susan L. Slager, Anne J. Novak, Thomas M. Habermann, James R. Cerhan. Evaluation of etiologic heterogeneity for risk of diffuse large B-cell lymphoma (DLBCL) subtype defined by cell-of-origin [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 741.

Abstract Background: Non-Hodgkin lymphomas (NHL) are increasing in incidence and are now the fifth most common tumor diagnosed each year in the United States. Most NHLs are of B-cell origin but the tumor tissue is variably infiltrated with T-cells. Our group has shown in diffuse B-cell large cell lymphoma, that a high number of intratumoral CD4+ T-cells predicts a better overall survival. It has been shown that recently-characterized CD4+CD25+ regulatory T-cells (Treg cells) played an important role in the mediation of anti-tumor immunity. However, there is no data on the role of intratumoral Treg cells in suppression of autologous infiltrating CD4+ T-cells in B-cell NHL. Goal: To investigate the effect of intratumoral Treg cells on the proliferation of tumor-infiltrating CD4+CD25- T-cells, to determine the underlying mechanism of the T-cell suppression, and evaluate the role that malignant B-cells may play in the recruitment of Treg cells to the site of B-cell NHL. Results: We identified a subset of CD4+CD25+ T-cells over-represented in biopsy specimens of B-cell NHL (these cells comprise 17% of cells in lymphoma biopsies, compared 7% of peripheral blood mononuclear cells, 12% of cells in inflammatory tonsil and 6% of cells in tumor free lymph nodes; p-value =0.001). These CD4+CD25+ T-cells are memory-like T-cells (CD45RO+ and CD45RA−) and express high levels of CTLA-4 and Foxp3 when compared to autologous tumor-infiltrating CD4+CD25- T-cells. Importantly, these CD4+CD25+ T-cells displayed the ability to suppress the proliferation and cytokine (IFN-g and IL-4) production of tumor-infiltrating CD4+CD25- T-cells in response to PHA stimulation. Treatment with anti-B7-H1 antibody or PD-1 fusion protein enhanced the proliferation of infiltrating CD4+CD25- T-cells when co-cultured with intratumoral CD4+CD25+ T-cells. Our results suggest that interaction between B7-H1 and PD-1 accounts for about 30% of intratumoral Treg cell-mediated inhibition of autologous infiltrating CD4+CD25- T-cells in tumor sites of B-cell NHL. Lastly, we found that CCL22 secreted by lymphoma B-cells is involved in the chemotaxis and migration of intratumoral CD4+CD25+ T-cells which express chemokine receptor CCR4, but not CCR8. Conclusion: Our results suggest that tumor microenvironmental CD4+CD25+ regulatory T-cells are important regulators of tumor immunity and that these cells are recruited to the area of lymphoma involvement by the malignant B-cells.

Abstract Abstract 798 Hodgkin lymphoma (HL) is a lymphoid neoplasm associated with the presence of CD30-positive Hodgkin Reed-Sternberg cells in a background of inflammatory cells. The regimen containing doxorubicin, bleomycin, vinblastine, and dacarbazine (ABVD) has become a common standard of care for the frontline treatment of HL. However, although ABVD is curative for the majority of patients with advanced stage HL, up to 30% of patients will require a salvage therapy. Brentuximab vedotin (ADCETRIS®) comprises an anti-CD30 monoclonal antibody conjugated by a protease-cleavable linker to a microtubule-disrupting agent, monomethyl auristatin E (MMAE). This phase 1, open-label, multicenter study was conducted to evaluate the safety of brentuximab vedotin when administered in combination with standard therapy (ABVD) or a modified standard (AVD) (ClinicalTrials.gov NCT01060904). Patients received doses of 0.6, 0.9, or 1.2 mg/kg brentuximab vedotin with standard doses of ABVD or 1.2 mg/kg brentuximab vedotin with AVD, depending upon cohort assignment. The combination regimens were administered on Days 1 and 15 of each 28-day cycle for up to 6 cycles of therapy. Each regimen evaluated a dose limiting toxicity (DLT) period, defined as any Cycle 1 toxicity requiring a delay of ≥ 7 days in standard ABVD or AVD therapy. Determination of antitumor activity was based on investigator assessment of objective response according to the Revised Response Criteria for Malignant Lymphoma (Cheson 2007). FDG-PET interpretation for Cycle 2 was performed by a central review per Deauville criteria with uptake above liver background considered positive. Data are presented for the 51 patients treated. Six patients received 0.6 mg/kg, 13 received 0.9 mg/kg, and 6 received 1.2 mg/kg with ABVD; 26 patients received 1.2 mg/kg with AVD. Overall, 37 patients were male (73%) and the median age of all patients was 33 years (range, 18–59). At baseline, 45% of all patients had Stage IV HL, 25% had an IPS score ≥4, and all patients with available ECOG status had a score of 0 or 1. No DLT was observed up to 1.2 mg/kg in either regimen. Common AEs (≥20 patients overall) noted in the ABVD and AVD cohorts, respectively, were nausea (76%, 77%), neutropenia (80%, 69%), peripheral sensory neuropathy (72%, 65%), vomiting (60%, 38%), fatigue (44%, 46%), and constipation (48%, 31%). Common ≥Grade 3 AEs (>10% of patients overall) observed in the ABVD and AVD cohorts, respectively, were neutropenia (80%, 65%), anemia (20%, 12%), febrile neutropenia (20%, 8%), and pulmonary toxicity (24%, 0%). In the ABVD cohorts, 11/25 (44%) patients had AEs of pulmonary toxicity, interstitial lung disease, or pneumonitis that led to discontinuation of bleomycin; 2 of these events led to death. Of these 11 patients, 7 completed treatment with AVD and brentuximab vedotin. In general, these events occurred between Cycles 3 and 6. No pulmonary toxicity was observed in the AVD cohort. The incidence of neuropathy was similar between the ABVD (72%) and AVD (73%) regimens; none of these events were ≥Grade 4 in severity. Overall, 7 patients discontinued brentuximab vedotin due to an AE (5 ABVD patients and 2 AVD patients). At Cycle 2, 48 patients were evaluated by FDG-PET by central review; of these, all 22 ABVD and 24/26 AVD patients were PET negative. Of the 51 patients treated, 4 withdrew consent or were lost to follow-up prior to end of treatment (EOT) assessments. The remaining 47 patients had a 96% objective response rate: 21/22 ABVD patients (95%) and 23/25 AVD patients (92%) achieved CR at the end of frontline therapy, 1 AVD patient had PR (with further workup ongoing), 1 ABVD patient died of AEs (hyponatremia and pulmonary toxicity) prior to EOT, and 1 AVD patient had PD. In patients with newly diagnosed HL, the maximum tolerated dose of brentuximab vedotin combined with ABVD or AVD was not reached; no DLT was observed up to 1.2 mg/kg every 2 weeks, the maximum planned dose. The safety profile observed confirmed that brentuximab vedotin can be safely combined with AVD; however, combination with a bleomycin-containing regimen is not recommended due to the incidence of pulmonary toxicity. The very high CR rate seen in this cohort of advanced-stage HL patients compares favorably with historical controls and warrants comparison with standard therapy. A phase 3 study comparing brentuximab vedotin combined with AVD versus ABVD alone is planned. Disclosures: Ansell: Seattle Genetics, Inc.: Research Funding; Celgene Corporation: Consultancy. Off Label Use: Brentuximab vedotin is indicated for treatment of patients with Hodgkin lymphoma after failure of autologous stem cell transplant or after failure of at least two prior multi-agent chemotherapy regimens in patients who are not ASCT candidates and for the treatment of patients with systemic anaplastic large cell lymphoma after failure of at least one prior multi-agent chemotherapy regimen. These indications are based on response rate. There are no data available demonstrating improvement in patient reported outcomes or survival with brentuximab vedotin. Connors:Seattle Genetics, Inc.: Research Funding. Park:Seattle Genetics, Inc.: Membership on an entity's Board of Directors or advisory committees, Research Funding; Teva: Research Funding. O'Meara:Seattle Genetics, Inc.: Employment, Equity Ownership. Younes:Seattle Genetics, Inc.: Consultancy, Research Funding; Celgene: Honoraria; Novartis: Honoraria, Research Funding; Affimed: Research Funding; Gilead: Research Funding.