Identification of Predictive Biomarkers for Cytokine Release Syndrome after Chimeric Antigen Receptor T-cell Therapy for Acute Lymphoblastic Leukemia.

<div>Abstract<p>Chimeric antigen receptor (CAR)–modified T cells with anti-CD19 specificity are a highly effective novel immune therapy for relapsed/refractory acute lymphoblastic leukemia. Cytokine release syndrome (CRS) is the most significant and life-threatening toxicity. To improve understanding of CRS, we measured cytokines and clinical biomarkers in 51 CTL019-treated patients. Peak levels of 24 cytokines, including IFNγ, IL6, sgp130, and sIL6R, in the first month after infusion were highly associated with severe CRS. Using regression modeling, we could accurately predict which patients would develop severe CRS with a signature composed of three cytokines. Results were validated in an independent cohort. Changes in serum biochemical markers, including C-reactive protein and ferritin, were associated with CRS but failed to predict development of severe CRS. These comprehensive profiling data provide novel insights into CRS biology and, importantly, represent the first data that can accurately predict which patients have a high probability of becoming critically ill.</p><p><b>Significance:</b> CRS is the most common severe toxicity seen after CAR T-cell treatment. We developed models that can accurately predict which patients are likely to develop severe CRS before they become critically ill, which improves understanding of CRS biology and may guide future cytokine-directed therapy. <i>Cancer Discov; 6(6); 664–79. ©2016 AACR.</i></p><p><i>See related commentary by Rouce and Heslop, p. 579</i>.</p><p>This article is highlighted in the In This Issue feature, p. 561</p></div>

<div>Abstract<p>Chimeric antigen receptor (CAR)–modified T cells with anti-CD19 specificity are a highly effective novel immune therapy for relapsed/refractory acute lymphoblastic leukemia. Cytokine release syndrome (CRS) is the most significant and life-threatening toxicity. To improve understanding of CRS, we measured cytokines and clinical biomarkers in 51 CTL019-treated patients. Peak levels of 24 cytokines, including IFNγ, IL6, sgp130, and sIL6R, in the first month after infusion were highly associated with severe CRS. Using regression modeling, we could accurately predict which patients would develop severe CRS with a signature composed of three cytokines. Results were validated in an independent cohort. Changes in serum biochemical markers, including C-reactive protein and ferritin, were associated with CRS but failed to predict development of severe CRS. These comprehensive profiling data provide novel insights into CRS biology and, importantly, represent the first data that can accurately predict which patients have a high probability of becoming critically ill.</p><p><b>Significance:</b> CRS is the most common severe toxicity seen after CAR T-cell treatment. We developed models that can accurately predict which patients are likely to develop severe CRS before they become critically ill, which improves understanding of CRS biology and may guide future cytokine-directed therapy. <i>Cancer Discov; 6(6); 664–79. ©2016 AACR.</i></p><p><i>See related commentary by Rouce and Heslop, p. 579</i>.</p><p>This article is highlighted in the In This Issue feature, p. 561</p></div>

Objective: To analyze the incidence of cytokine release syndrome (CRS) and its impact on the prognosis of patients with relapsed and refractory multiple myeloma (RRMM) following treatment with chimeric antigen receptor T-cell (CAR-T) therapy. Methods: A retrospective collection was conducted of the clinical data of 91 patients with RRMM who underwent CAR-T therapy at the Affiliated Hospital of Xuzhou Medical University from January 2020 to October 2022. Before CAR-T cell infusion, the patient underwent pretreatment with the fludarabine plus cyclophosphamide (FC) regimen. On day 0 (d0), the patient received a dose of 1×106 cells/kg of CAR-T. The occurrence of CRS was recorded post-treatment and graded accordingly, with grades 1 to 2 indicating mild CRS and grade≥3 indicating severe CRS. The follow-up cut-off date was February 14, 2023, with a median follow-up time [M (Q1, Q3)] of 14.1 (3.1, 37.7) months. Kaplan-Meier survival curve analysis assessed the progression-free survival (PFS) and overall survival (OS) of Grade 1 and Grade 2 CRS patients. Furthermore, univariate logistic regression analysis was conducted to identify factors associated with the development of severe CRS. Results: In a cohort of 91 patients diagnosed with RRMM, there were 51 male and 40 female individuals, with a median age [M (Q1,Q3)] of 57 (31, 73) years. All 91 cases (100%) experienced CRS, with 82 cases (90%) classified as mild (grades 1-2) CRS and 9 cases (10%) classified as severe (grades 3-5) CRS. In a study involving 9 patients with severe CRS, 8 cases resulted in mortality. The Kaplan-Meier survival curve analysis revealed that among grade 1 CRS patients, neither the median PFS nor the median OS was achieved. For grade 2 CRS patients, the median PFS was 12 months (95%CI: 4-not achieved), and the median OS was 21 months (95%CI: 4-not achieved). The progression-free survival and overall survival rates of grade 2 CRS patients were both lower than those of grade 1 CRS patients (both P<0.05). Single-factor logistic regression analysis revealed that a high tumor burden (OR=1.025, 95%CI: 1.002-1.049, P=0.031), a prolonged duration of CRS onset (OR=0.809, 95%CI: 0.646-0.971, P=0.037) and persistence (OR=1.758, 95%CI: 1.349-2.481, P=0.001) were identified as significant factors associated with severe CRS in patients with RRMM. Conclusions: Patients with RRMM who undergoes CAR-T therapy have a high incidence of CRS, with a higher mortality rate among those experiencing severe CRS. Furthermore, patients with grade 2 CRS exhibit lower rates of progression-free survival and overall survival compared to those with grade 1 CRS. Factors associated with the development of severe CRS in RRMM patients include high tumor burden and prolonged duration and onset of CRS.

Biomarkers Accurately Predict Cytokine Release Syndrome (CRS) after Chimeric Antigen Receptor (CAR) T Cell Therapy for Acute Lymphoblastic Leukemia (ALL)

Cytokine Release Syndrome (CRS) Is Not Required for CAR-T Cell Efficacy in Aggressive Large B-NHL

BackgroundCD19-directed Chimeric Antigen Receptor T-Cell (CAR-T) therapy has emerged as a promising and novel treatment for relapsed and refractory (r/r) B-cell malignancies. Efforts are directed towards increasing persistence of CAR-T...

Real-World Incidence, Characteristics and Management of Cytokine Release Syndrome Induced By Chimeric Antigen Receptor T-Cell Therapy across Hematologic Malignancies

Enhanced Risk of Cytokine Release Syndrome in Obese and Related Comorbidities Undergoing CAR-T Therapy for B-Cell Malignancies

Acute Kidney Injury After the CAR-T Therapy Tisagenlecleucel

Ruxolitinib Prevents Cytokine Release Syndrome after CART Cell Therapy without Impairing the Anti-Tumor Effect in a Xenograft Model

Promoter usage regulating the surface density of CAR molecules may modulate the kinetics of CAR-T cells in vivo

Biomarker Profiling Differentiates Sepsis from Cytokine Release Syndrome in Chimeric Antigen Receptor T-Cell Therapy for Acute Lymphoblastic Leukemia (ALL)

Introduction: The efficacy of anti-CD19 chimeric antigen receptor (CAR) T-cell therapy in patients with relapsed/refractory large B-cell lymphoma (LBCL) is limited by acute toxic events, most notably cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS). Identification of biomarkers of toxicities can allow for selection of high-risk patients and elucidate targetable mechanisms for mitigation. Previous biomarker studies have been constrained by relatively narrow panels of potential mediators and limited time points. Here, we employed NULISA, a novel ultrasensitive assay capable of simultaneously quantifying 204 inflammatory proteins from a single sample, to identify temporal proteome associations with acute toxicities in anti-CD19 CAR T-cell treated patients. Methods: Baseline and post-treatment peripheral blood samples from 80 patients with LBCL who underwent anti-CD19 CAR-T cell therapy were collected within specific time intervals. Plasma samples (n=480) were analyzed with NULISA. CRS and ICANS were graded according to ASTCT consensus criteria. Patients were grouped according to their maximum CRS and ICANS scores. Differential protein abundance across the toxicity groups was assessed using linear mixed effects models fit for each protein, including a time by toxicity group interaction. Proteins showing significant associations were subjected to pathway enrichment and network analysis. Results: Severe CRS and ICANS patient groups showed proteome upregulation beginning on day 1-2 and peaking at day 6-9, followed by extensive downregulation on day 11-16. The strongest upregulated pathway associations of severe CRS and ICANS were inflammatory response, IL-17 signaling, non-genomic action of vitamin D3, regulation of leukocyte proliferation, and cellular extravasation. Downregulated pathways included anti-microbial humoral response and TNFs binding to receptors. In addition to the previously identified inflammatory proteins IL-6, IFNγ, sIL-2Rα, CXCL8, CCL2, our analysis revealed significant association of several novel immune regulators and mediators. These included upregulated Th2 cytokines, IL-17A, IL-22, GZMB, CTLA4, IFNA1;IFNA13, and downregulated S100A12, IL-12B, CCL22, BDNF and TNFSFs, revealing exquisite temporal orchestration of lymphoid and myeloid activities during CRS and ICANS development. Conclusions: This study represents the most comprehensive characterization of immune response to CAR T-cell therapy to date. Using the novel NULISA technology, we identified new proteins and functional pathways associated with CAR T-cell-induced toxicity, implicating them as potential biomarkers. These previously unidentified factors also provide a platform to further investigate the causative immune mechanisms of acute toxicities in CAR-T cell therapy. Citation Format: Riley Kirkpatrick, Joanne Beer, Manishkumar S. Patel, Akansha Jalota, Agrima Mian, Ishara S. Ariyapala, Qinyu Hao, Wei Feng, Xiao-Jun Ma, Yuling Luo, Brian T. Hill, Neetu Gupta. Identification of novel biomarkers of immune toxicity from CAR T-cell therapy using ultrasensitive NULISA™ proteome technology [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3867.

Associations of granulocyte colony-stimulating factor with toxicities and efficacy of chimeric antigen receptor T-cell therapy in relapsed or refractory multiple myeloma

Real-time interleukin-6 (IL-6) kinetics predict cytokine release syndrome (CRS) in patients receiving chimeric antigen receptor (CAR) T-cell therapy for Relapsed/Refractory B-cell malignancies