Citations

Abstract Background: Penetrating diaphragmatic injuries are associated with a high incidence of posttraumatic empyema. We analyzed the contribution of trauma severity, specific organ injury, contamination severity, and surgical management to the risk of Posttraumatic empyema in patients who underwent surgical repair of diaphragmatic injuries at a level 1 trauma center.Methods: This is a retrospective review of the patients who survived more than 48 hours. Univariate OR calculations were performed to identify potential risk factors. Multiple logistic regression was used to calculate adjusted ORs and identify independent risk factors.Results: We included 192 patients treated from 2011 to 2020. There were 169 (88.0) male. The mean interquartile range, (IQR) of age was 27 (22 - 35) years. Gunshot injuries occurred in 155 subjects (80.7%). Mean (IQR) NISS and ATI were 29 (18 - 44) and 17 (10 - 27), respectively. Thoracic AIS was >3 in 38 patients (19.8%). Hollow viscus was injured in 105 cases (54.7%). Stomach in 65 (33.9%), colon in 52 (27.1%), small bowel in 42 (21.9%), and duodenum in 10 (5.2%). Visible contamination was found in 76 patients (39.6%).Potential thoracic contamination was managed with a chest tube in 128 cases (66.7%), with transdiaphragmatic pleural lavage in 42 (21.9%), and with Video Assisted Thoracoscopy Surgery or thoracotomy in 22 (11.5%). Empyema occurred in 11 patients (5.7%). Multiple Logistic Regression identified thoracic AIS >3 (OR 6.4, 95% CI 1.77 – 23. 43), and visible contamination (OR 5.13, 95% IC 1.26 – 20.90) as independent risk factors. The individual organ injured, or the method used to manage the thoracic contamination did not affect the risk of posttraumatic empyema.Conclusion: The severity of the thoracic injury and the presence of visible abdominal contamination were identified as independent risk factors of empyema after penetrating diaphragmatic trauma.

Background: Autosomal dominant polycystic kidney disease (ADPKD) is a ciliopathy characterized by abnormal tubular epithelial proliferation and fluid secretion. Anoctamin 1 (ANO1) is a calcium-dependent chloride channel. However, how ANO1 contributes to ADPKD is largely unexplored. Methods: Kidney tissues from ADPKD patients, Pkd1RC/RC mice model, WT9-7 human PKD1+⁣/- cells, and 3D culture models in vitro were used. Localization of ANO1 and cilium length were investigated by confocal immunofluorescence. Results: We found that ANO1 was consistently upregulated in human and mouse PKD kidneys. Intriguingly, ANO1 located in a vesicle-like pattern at the ciliary base but not on the ciliary surface. ANO1 deficiency enhanced ciliogenesis and the ciliary dosage of polycystin-2 in human PKD cells, and reduced cyst formation in 3D culture models. Moreover, inhibition of ANO1 abolished the activation of STAT3 and ERK pathways in PKD cells. Conclusions: Our data indicate ANO1 is a negative regulator for both cilia length and cilia trafficking of polycystin-2 and provide mechanistic insights regarding the therapeutic potential of ANO1 pathway in ADPKD treatment.

Abstract Purpose: To evaluate prediction of response and event-free survival (EFS) following neoadjuvant endocrine therapy by SET2,3 index of nonproliferation gene expression related to estrogen and progesterone receptors adjusted for baseline prognosis. Experimental Design: A correlative study was conducted of SET2,3 measured from gene expression profiles of diagnostic tumor (Agilent microarrays) in 379 women with cStage II–III breast cancer from the American College of Surgeons Oncology Group Z1031 neoadjuvant aromatase inhibitor trial SET2,3 was dichotomized using the previously published cutoff. Fisher exact test was used to assess the association between SET2,3 and low proliferation at week 2–4 [Ki67 ≤ 10% or complete cell-cycle arrest (CCCA; Ki67 ≤ 2.7%)] and PEPI-0 rate in cohort B, and the association between SET2,3 and ypStage 0/I in all patients. Cox models were used to assess EFS with respect to SET2,3 excluding cohort B patients who switched to chemotherapy. Results: Patients with high SET2,3 had higher rate of pharmacodynamic response than patients with low SET2,3 (Ki67 ≤ 10% in 88.2% vs. 56.9%, P < 0.0001; CCCA in 50.0% vs. 26.2%, P = 0.0054), but rate of ypStage 0/I (24.0% vs. 20.4%, P = 0.4580) or PEPI = 0 (28.4% vs. 20.6%, P = 0.3419) was not different. Patients with high SET2,3 had longer EFS than patients with low SET2,3 (HR, 0.52, 95% confidence interval: 0.34–0.80; P = 0.0026). Conclusions: This exploratory analysis of Z1031 data demonstrated a higher rate of pharmacodynamic suppression of proliferation and longer EFS in high SET2,3 disease relative to low SET2,3 disease. The ypStage 0/I rate and PEPI = 0 rate were similar with respect to SET2,3.

Immunotherapy has redefined the treatment of cancer patients and it is constantly generating new advances and approaches. Among the multiple options of immunotherapy, bispecific antibodies (bsAbs) represent a novel thoughtful approach. These drugs integrate the action of the immune system in a strategy to redirect the activation of innate and adaptive immunity toward specific antigens and specific tumor locations. Here we discussed some basic aspects of the design and function of bsAbs, their main challenges and the state-of-the-art of these molecules in the treatment of hematological and solid malignancies and future perspectives.

505 Background: We investigated the clinical utility of SET2,3, a novel biomarker designed to measure to endocrine sensitivity. SET2,3 measures nonproliferative hormone receptor-related transcription (SETER/PR) adjusted for a baseline prognosis index derived from tumor size, nodes involved and a 4-gene molecular subtype (RNA4). CALGB 9471 is a seminal phase III study that showed improved DFS and OS from 2-weekly dose-dense (DD) vs 3-weekly chemotherapy in ER-negative cancers. Risk of recurrence (ROR-PT) score (intrinsic subtype, proliferation score and tumor size) measured by Nanostring assay was reported to be prognostic in CALGB 9741, but did not predict benefit from DD chemotherapy. Methods: SET2,3 was performed using an aliquot of 200-300 ng RNA (residual from prior ROR-PT testing) from 682 ER+ tumor samples and tested using the QuantiGene Plex bead-based hybridization assay (ThermoFisher, Luminex). We report results for the primary and two secondary objectives of the NCI/CTEP-approved correlative science proposal CSC0154) to evaluate SET2,3 in CALGB 9741 for prognosis (primary endpoint: 95%CI for 5-year (yr) DFS > 75% for High SET2,3 using the predefined prognostic cutpoint 2.10), SET2,3 prognostic independence from ROR-PT, and prediction of outcome according to chemotherapy regimen. We used Cox models to estimate hazard ratios (HR) for prognosis and comparison with ROR-PT results (using c-indices) and for prediction according to chemotherapy schedule using an interaction term (prespecified significance level for interaction: p < 0.10). Results: The study met its primary endpoint with a 5-yr DFS of 85.6% (95%CI 81.3-90.2) in the High-SET subset (244/613, 40%). High-SET vs Low-SET was significantly associated with favorable outcomes at 5 yr (DFS 85.6% vs 69%, p <.0001; OS 95.3% vs 84.6%, p <.0001) and 10 yr (DFS 77.7% vs 58.2%, p <.0001; OS 86.9% vs 65.9%, p <.0001). PAM50 ROR-PT and SET classification were available for 596 tumors. In multivariate models for DFS and OS, SET2,3 remained an independent prognostic variable for DFS (SET high vs low HR = 0.46, 95% CI, 0.34 – 0.63, p < 0.0001; PAM50 ROR-PT high vs low HR = 1.22, 95% CI, 0.91 – 1.64, p = 0.18) and for OS (SET high vs low HR = 0.36, 95% CI, 0.25 – 0.53, p < 0.0001; PAM50 ROR-PT high vs low HR = 1.26, 95% CI, 0.91 – 1.75, p = 0.16). Similar observations were seen in models including SET and PAM50 ROR-PT as continuous variables. Lower SET2,3 values predicted improved outcomes from DD vs 3-weekly chemotherapy (interaction p=0.0998 for DFS, 0.042 for RFS and 0.027 for OS). This was unrelated to menopausal status and lower SET2,3 values favored DD concurrent treatments. Conclusions: SET2,3 index was strongly prognostic, independent of ROR-PT, and predicted survival benefit from DD chemotherapy in pre- and postmenopausal women with ER+ cancer. Clinical trial information: NCT00003088.

Non-small-cell lung cancer (NSCLC) is a heterogeneous disease, and therapeutic management has advanced to identify various critical oncogenic mutations that promote lung cancer tumorigenesis. Subsequent studies have developed targeted therapies against these oncogenes in the hope of personalized treatment based on the tumor’s molecular genomics. This review presents a comprehensive review of the biology, new therapeutic interventions, and resistance patterns of two well-defined subgroups, tumors with KRAS and MET alterations. We also discuss the status of molecular testing practices for these two key oncogenic drivers, considering the progressive introduction of next-generation sequencing (NGS) and RNA sequencing in regular clinical practice.

Ibrutinib-based therapies are costly and require continuous administration. We hypothesized combining BTK inhibition with anti-CD20 monoclonal antibodies would yield deep remissions allowing discontinuation. We enrolled 32 therapy-naïve CLL patients to receive ibrutinib plus obinutuzumab, followed by single-agent ibrutinib. Patients could discontinue ibrutinib after 36 months with sustained complete response (CR). We evaluated treatment safety, efficacy, and outcomes after ibrutinib discontinuation. The overall response rate was 100%, 28% achieved a CR, and 12.5% achieved bone marrow undetectable minimal residual disease. At a three-year median follow-up, 91% remain in remission with 100% overall survival. Five patients in sustained CR stopped ibrutinib and have not progressed. Eight non-CR patients discontinued for other reasons, with only two progressing. The treatment was safe, with a lower IRR rate. All patients responded to treatment with longer time-to-progression after discontinuation of ibrutinib. Our data support the evaluation of ibrutinib discontinuation strategies in more extensive clinical trials (https://Clinicaltrials.gov Identifier https://clinicaltrials.gov/ct2/show/NCT02315768).

Abstract Introduction: Peripheral T-cell lymphoma not otherwise specified (PTCL-NOS) is the most common PTCL subtype, accounting for approximately 25% of all PTCL cases. The median age at diagnosis is 60 years and is more prevalent among males. Currently, most epidemiological data on T- and NK-cell lymphomas come from developed countries. Thus, very few data are available regarding this condition in Latin American countries, especially in those aged 60 years and older. The Latin American Group of Lymphoproliferative Disorders (GELL) has previously reported on the impact of serum albumin level in survival outcomes in PTCL-NOS. Therefore, we aim to evaluate the clinical, demographic, and outcome patterns of elderly patients with PTCL-NOS. Methods: We conducted an observational, retrospective study of newly diagnosed PTCL-NOS between January 2000 and December 2020. Patient must be aged 60 years and older. All clinical data were retrieved from clinical records at the different participating institutions. The study outcomes were overall survival (OS) and progression-free survival (PFS). The International Prognostic Index (IPI), the Prognostic Index for T-cell lymphoma (PIT), and the NCCN IPI scores were used for risk stratification. Kaplan-Meier and log-rank test were used for survival analysis. Univariate and multivariate Cox regression analysis were used to estimate hazard ratios (HR) with a 95% confidence interval (CI). Outcomes with a p-value &lt;0.05 were considered statistically significant. Results: A total of 107 patients were included; median age at diagnosis was 72 years (range 60-92), 61% were male, 46% had an ECOG ≥2, 70% had stage III-IV, and 15% had more than one extranodal site. The IPI, PIT and NCCN-IPI scores stratified 51%, 69%, and 74% of patients as high- / high-intermediate risk, respectively. Seventy-four (69%) patients received first-line systemic therapy. Most patients (53%) were managed with CHOP/CHOP-like regimen, followed by CHOEP (19%). The overall response (OR) rate to first-line therapy was 61% (complete response, CR 41%). Salvage therapy was given to only 9 patients; the OR rate was 44% (CR 11%). With a median follow-up of 29 months (95% CI 13-45 months), the 2-year OS was 46% (95% CI 36-59), with median survival time of 16 months (95% CI 10-NR). In the multivariate analysis, patients with serum albumin levels &lt;3.5 g/dL had median survival of 7 months (95% CI 3-20) and 2-year OS rate of 24% (95% CI 13-46%), while patients with albumin ≥3.5 g/dL did not reach the median survival time and had a 2-yOS rate of 67% (95% CI 36-65%) (p&lt;0.0001) (Table 1, Figure 1). Patients with a lymphocyte-to-monocyte ratio (LMR) &gt;7.6 had a median OS of 8 months (95% CI 6-NR) and a 2-year OS of 10% (95% CI 2-65), while patients with a LMR ≤7.6 did not reach the median OS and had a 2-year OS of 57% (95% CI 45-72) (p = 0.0108) (Table 1, Figure 1). Conclusions: This large cohort of Latin American PTCL-NOS patients aged ≥60 years showed overall response rates comparable to previously published data. However, survival rates were shorter compared to those reported in developed countries. In this study, we again confirmed low serum albumin level (&lt;3.5 g/dL) as an adverse prognostic factor for OS in PTCL-NOS, and independent from the IPI, PIT and NCCN-IP scores. Additionally, we describe for first time in a Latin American cohort the impact of the LMR on survival, demonstrating poor outcomes in those with LMR &gt;7.6. We are currently validating our findings in a prospective cohort of Latin American PTCL patients and to improve clinical decision-making in those deemed at high-risk for early mortality. Figure 1 Figure 1. Disclosures Otero: Astra Zeneca: Current Employment. Castillo: Abbvie: Consultancy, Research Funding; BeiGene: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding; Janssen: Consultancy; Roche: Consultancy; TG Therapeutics: Research Funding.

Abstract Background :COVID-19 adversely affects individuals with cancer. Several studies have found that seroconversion rates among patients with hematologic malignancies are suboptimal when compared to patients without cancer. Among patients with hematologic malignancies, seroconversion rates also appear to be influenced by recent treatment and the type of treatment they have received. Patients with non-Hodgkin lymphoma (NHL) and multiple myeloma (MM) are immunocompromised due to impaired humoral and cellular immunity in addition to prescribed immunosuppressive therapy. Chimeric antigen receptor T-cell (CAR T) therapy is now widely used for NHL and MM, but little is known about seroconversion rates after COVID-19 vaccination among these populations. Current national guidelines recommend COVID-19 vaccination to be offered to CAR T recipients as early as three months thereafter. We retrospectively evaluated SARS-CoV-2 spike-binding IgG antibody levels following COVID-19 vaccination among NHL and MM CAR T therapy recipients. Methods:This retrospective study was conducted at three Mayo Clinic sites on NHL and MM patients that received CAR T infusions from Sept 2016 to June 2021. Baseline characteristics were ascertained from medical records. All NHL and MM patients who had received CAR T at any point and were alive at the time that the COVID-19 vaccine first became available were eligible for inclusion for antibody response evaluation. For antibody response to vaccination, antibody spike values &gt; 0.80 U/mL were considered positive. Results: Out of 104 CAR T infusions, 73 patients are alive at the time of this submission. We have had 7 patients with known COVID-19 pre-CAR T and all 7 are currently alive (5 have antibody titers and 2 have not been tested yet). Nineteen patients developed known COVID infection post-CAR T (13 alive and 6 deceased). The mortality of COVID post-CAR T in our sample was 31.5%. Furthermore, of the 13 patients that survived COVID-19, they received CAR T an average of 416 days prior to COVID-19 infection (median = 337, range = 54 - 1406); the 6 patients who died from COVID-19 had received CAR T an average of 250 days prior to COVID-19 infection (median = 164, range = 7 - 846). All 6 deceased patients did not receive COVID-19 vaccination pre-CAR T. Out of 17 CAR T patients tested for antibody spike titers post COVID-19 vaccination, 76.4% were able to mount an antibody response. More patients with MM had a higher titer response to the vaccine (&gt;250 U/mL) compared to the NHL counterparts (0.80-249 U/mL). All patients that received the vaccine, regardless of antibody response, were alive at the time of this submission. Conclusions:The majority of CAR T recipients with NHL and MM are able to mount an antibody response following COVID-19 vaccination in our relatively small sample. The frequency of seroconversion among CAR T recipients seems to be similar to patients with hematologic malignancy who had received a hematopoietic cell transplant reported elsewhere. These findings are limited by our small sample size and may be influenced by the timing of vaccination relative to CAR T. Furthermore, almost half of our patients received IVIG post CAR T which could potentially cause false positive antibody results as pooled immunoglobulin preparations may contain COVID-19 antibodies from vaccinated healthy donors. To better understand the characteristics of the immunologic response against SARS-CoV-2 in patients post-CAR T, larger multicenter studies exploring both humoral and cellular immunity will be needed. JEWN, MI and JM are co-first authors and PV, HM and AR are co-senior authors. Figure 1 Figure 1. Disclosures Munoz: Physicians' Education Resource: Honoraria; Seattle Genetics: Honoraria; Bayer: Research Funding; Gilead/Kite Pharma: Research Funding; Celgene: Research Funding; Merck: Research Funding; Portola: Research Funding; Incyte: Research Funding; Genentech: Research Funding; Pharmacyclics: Research Funding; Seattle Genetics: Research Funding; Janssen: Research Funding; Millennium: Research Funding; Gilead/Kite Pharma, Kyowa, Bayer, Pharmacyclics/Janssen, Seattle Genetics, Acrotech/Aurobindo, Beigene, Verastem, AstraZeneca, Celgene/BMS, Genentech/Roche.: Speakers Bureau; Pharmacyclics/Abbvie, Bayer, Gilead/Kite Pharma, Pfizer, Janssen, Juno/Celgene, BMS, Kyowa, Alexion, Beigene, Fosunkite, Innovent, Seattle Genetics, Debiopharm, Karyopharm, Genmab, ADC Therapeutics, Epizyme, Beigene, Servier: Consultancy; Targeted Oncology: Honoraria; OncView: Honoraria; Kyowa: Honoraria. Bergsagel: Oncopeptides: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Patents & Royalties: human CRBN mouse; Pfizer: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Genetech: Consultancy, Honoraria; GSK: Consultancy, Honoraria. Wang: Incyte: Membership on an entity's Board of Directors or advisory committees, Research Funding; LOXO Oncology: Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Research Funding; InnoCare: Research Funding; Novartis: Research Funding; MorphoSys: Research Funding; Eli Lilly: Membership on an entity's Board of Directors or advisory committees; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees. Fonseca: Juno: Consultancy; Kite: Consultancy; Aduro: Consultancy; OncoTracker: Consultancy, Membership on an entity's Board of Directors or advisory committees; GSK: Consultancy; AbbVie: Consultancy; Patent: Prognosticaton of myeloma via FISH: Patents & Royalties; Caris Life Sciences: Membership on an entity's Board of Directors or advisory committees; Scientific Advisory Board: Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy; Amgen: Consultancy; Sanofi: Consultancy; Merck: Consultancy; Mayo Clinic in Arizona: Current Employment; Celgene: Consultancy; Takeda: Consultancy; Bayer: Consultancy; Janssen: Consultancy; Novartis: Consultancy; Pharmacyclics: Consultancy. Palmer: Sierra Oncology: Consultancy, Research Funding; CTI BioPharma: Consultancy, Research Funding; Protagonist: Consultancy, Research Funding; Incyte: Research Funding; PharmaEssentia: Research Funding. Dingli: Novartis: Research Funding; GSK: Consultancy; Apellis: Consultancy; Alexion: Consultancy; Sanofi: Consultancy; Janssen: Consultancy. Kapoor: Sanofi: Research Funding; AbbVie: Research Funding; Takeda: Research Funding; Karyopharm: Consultancy; Cellectar: Consultancy; BeiGene: Consultancy; Pharmacyclics: Consultancy; Sanofi: Consultancy; Amgen: Research Funding; Ichnos Sciences: Research Funding; Regeneron Pharmaceuticals: Research Funding; Glaxo SmithKline: Research Funding; Karyopharm: Research Funding. Kumar: Roche-Genentech: Consultancy, Research Funding; Oncopeptides: Consultancy; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Consultancy, Research Funding; Beigene: Consultancy; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; Adaptive: Membership on an entity's Board of Directors or advisory committees, Research Funding; Astra-Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Tenebio: Research Funding; Merck: Research Funding; Carsgen: Research Funding; KITE: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Research Funding; Bluebird Bio: Consultancy; Antengene: Consultancy, Honoraria; Sanofi: Research Funding. Paludo: Karyopharm: Research Funding. Bennani: Kymera: Other: Advisory Board; Vividion: Other: Advisory Board; Kyowa Kirin: Other: Advisory Board; Daichii Sankyo Inc: Other: Advisory Board; Purdue Pharma: Other: Advisory Board; Verastem: Other: Advisory Board. Ansell: Bristol Myers Squibb, ADC Therapeutics, Seattle Genetics, Regeneron, Affimed, AI Therapeutics, Pfizer, Trillium and Takeda: Research Funding. Lin: Kite, a Gilead Company: Consultancy, Research Funding; Merck: Research Funding; Gamida Cell: Consultancy; Takeda: Research Funding; Juno: Consultancy; Bluebird Bio: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Novartis: Consultancy; Janssen: Consultancy, Research Funding; Sorrento: Consultancy; Legend: Consultancy; Vineti: Consultancy. Murthy: CRISPR Therapeutics: Research Funding.

Abstract Introduction: CAR T-cell therapy has revolutionized the treatment of patients with relapsed/refractory (R/R) acute leukemia, NHL, and multiple myeloma. However, there are still areas of improvement in their clinical activity, source of the effector cells, prevention, and management of adverse events that require particular attention. Because of those reasons, NK cells appear as a viable effector cell alternative that can help address these challenges. NK cells offer a profile of activation, expansion, persistence, and cytotoxicity that is different from T cells and, when modified to bear CAR constructs, may provide significant advantages. However, the preclinical development of NK-CARs is challenging mainly because of the difficulty of generating large quantities of cells for testing and well-established pathways for CAR optimization before in vivo evaluation. Therefore, we developed a CAR optimization platform using the NK-92 cell line. NK-92 cells conserve their cytotoxic ability and can be easily expanded in vitro and used for functional and phenotypical evaluations of novel CAR-NK constructs. Here we present a rechallenge cytotoxic assay that mimics repetitive in vivo effector interactions with the target cells and its use for optimization, comparison, and development of NK-based cellular therapies. Methods: We generated lentivirus transduced CD19 CARs (FMC63-41BB-z) using T cells from healthy donors and NK-92 cells for comparison.T cells were expanded for 12 days, and a 41.9% CAR+ expression was achieved (CART19). Transduced NK-92 cells were sorted by FACS to obtain a population of 98.3 % CAR+ cells (CARNK19) and subsequently expanded for 12 days. JeKo-1 cells were used as CD19+ targets and BxPC3 cells as CD19 neg control (both cell types were GFP-Luc-PuroR). We developed a Luciferase-based rechallenge cytotoxicity assay. For this, we diluted the effector to target (E/T) ratio to obtain a logarithmic trendline of the cells' cytotoxicity. E/T ratio to get viability of 50% (IC50) measured at 4h (for CARNK19) and 24h (for CART19) was used as a proxy of the product's potency. Both CAR Immune Effector Cells (IECs) were co-cultured with their targets at an E/T ratio to obtain 70% cytotoxicity. After 24 hours with the target, we estimated the remaining IEC amount in the culture using GFP exclusion in flow analysis (IEC cells/mL = total cells/mL x GFP neg%). We repeated the plating of E/T ratio dilutions to perform daily IC50 curves using this rechallenge strategy for a total of 5 days. CAR and PD1 expression were measured on Day 0 and Day 5 by flow cytometry. Results: CART19 showed a higher IC50 than CARNK19 at baseline, 1.7 vs. 0.19 (Figure 1A). The IC50 trend of both IECs over time showed an uptrend that suggests progressive functional exhaustion (Figure 1B). At 5 days of rechallenge, it was 29 times higher in T cells than in NK-92 (12.07 vs. 0.42) and with a slope 265 times higher (10.6 vs. 0.04). Furthermore, we observed that when comparing the levels of CAR expression on Day 0 vs. Day 5, CART19 showed a decrease in CAR expression that was not present in CARNK19 (41.9 to 10.9% vs. 98.3 to 95.5%) (Figure 1C). In addition, there was a higher increase in PD1 expression in CART19 cells than CARNK19 cells from Day 0 to Day 5 of the in vitro rechallenge (9.9 to 46.8% vs. 0.88 to 8.88%) (Figure 1D). Conclusion: Our data shows the use of NK-92 cells as a tool for optimization and preclinical development of NK cell-based cellular therapies. We demonstrated that it is feasible to set up repetitive cytotoxic challenges that mimic closer in vivo E/T engagement. Moreover, using the cytotoxic IC50 calculated with this platform, we show increased cytotoxicity, less functional exhaustion, and less expression of PD1 in CARNK19 than in its T cell counterpart. Overall, the NK-92 rechallenge cytotoxicity assay platform constitutes a helpful tool for research, development, and optimization of cellular therapies based on NK cell effector function. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.