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Background Hematologic toxicities, including coagulopathy, endothelial activation, and cytopenias, with CD19-targeted chimeric antigen receptor (CAR) T-cell therapies correlate with cytokine release syndrome (CRS) and neurotoxicity severity, but little is known about the extended toxicity profiles of CAR T-cells targeting alternative antigens. This report characterizes hematologic toxicities seen following CD22 CAR T-cells and their relationship to CRS and neurotoxicity. Methods We retrospectively characterized hematologic toxicities associated with CRS seen on a phase 1 study of anti-CD22 CAR T-cells for children and young adults with relapsed/refractory CD22+ hematologic malignancies. Additional analyses included correlation of hematologic toxicities with neurotoxicity and exploring effects of hemophagocytic lymphohistiocytosis-like toxicities (HLH) on bone marrow recovery and cytopenias. Coagulopathy was defined as evidence of bleeding or abnormal coagulation parameters. Hematologic toxicities were graded by Common Terminology Criteria for Adverse Events V.4.0. Results Across 53 patients receiving CD22 CAR T-cells who experienced CRS, 43 (81.1%) patients achieved complete remission. Eighteen (34.0%) patients experienced coagulopathy, of whom 16 had clinical manifestations of mild bleeding (typically mucosal bleeding) which generally subsided following CRS resolution. Three had manifestations of thrombotic microangiopathy. Patients with coagulopathy had higher peak ferritin, D-dimer, prothrombin time, international normalized ratio (INR), lactate dehydrogenase (LDH), tissue factor, prothrombin fragment F1+2 and soluble vascular cell adhesion molecule-1 (s-VCAM-1). Despite a relatively higher incidence of HLH-like toxicities and endothelial activation, overall neurotoxicity was generally less severe than reported with CD19 CAR T-cells, prompting additional analysis to explore CD22 expression in the central nervous system (CNS). Single-cell analysis revealed that in contrast to CD19 expression, CD22 is not on oligodendrocyte precursor cells or on neurovascular cells but is seen on mature oligodendrocytes. Lastly, among those attaining CR, grade 3–4 neutropenia and thrombocytopenia were seen in 65% of patients at D28. Conclusion With rising incidence of CD19 negative relapse, CD22 CAR T-cells are increasingly important for the treatment of B-cell malignancies. In characterizing hematologic toxicities on CD22 CAR T-cells, we demonstrate that despite endothelial activation, coagulopathy, and cytopenias, neurotoxicity was relatively mild and that CD22 and CD19 expression in the CNS differed, providing one potential hypothesis for divergent neurotoxicity profiles. Systematic characterization of on-target off-tumor toxicities of novel CAR T-cell constructs will be vital as new antigens are targeted. Trial registration number NCT02315612 .

LBA520 Background: I-SPY 2 is a multicenter trial using response-adaptive randomization within biomarker subtypes including MammaPrint (MP) risk to evaluate novel neoadjuvant agents in high-risk breast cancer. Oral paclitaxel and encequidar (OPE) is an oral combination of paclitaxel (P) with a p-glycoprotein pump inhibitor, encequidar, to enhance gastrointestinal (GI) absorption. Dostarlimab (D) is an anti-PD-1 monoclonal antibody. Methods: Women with tumors ≥ 2.5cm and MP high-risk cancers were screened and treated starting Oct 5, 2020. Treatment included Oral Paclitaxel 205mg/m2 and encequidar 12.9 mg on days 1-3, Carboplatin (Cb) AUC 1.5 on day 1 weekly x 12, and Dostarlimab (D) 500 mg every 3 weeks x 4, followed by doxorubicin/ cyclophosphamide (AC) every 2-3 weeks x 4. The control arm was IV P weekly x 12 followed by AC every 2-3 weeks x 4. For patients with HER2+ disease, weekly Trastuzumab (T) was administered during the first 12 weeks. The arm was eligible for graduation [> 85% chance of success in a 300-person phase 3 neoadjuvant trial with a pathologic complete response (pCR) endpoint] in 10 predefined signatures. Results: 106 patients (44 HR+HER2-, 56 HR-HER2- (TN), 6 HER2+) received OPE/Cb/D ± T. The control arm included 388 historical controls (201 HR+HER2-, 156 TN, 31 HER2+). 22 patients (20 HR+, 2 HR-) in OPE/Cb/D were MP1 (MP high) and 84 patients (29 HR+, 55 HR-) were MP2 (MP ultra-high). OPE/Cb/D graduated in the TN signature and accrual was stopped. Conclusions: OPE/Cb/D graduated in the TN signature with a higher predicted pCR rate compared to control. OPE and D have been, individually, shown to have efficacy in other settings. The lower-than-expected pCR rate and lower irAEs with triplet therapy (taxane, platinum, immune checkpoint inhibitor [ICI]) in TN compared to prior IV chemo + ICI arms on I-SPY 2 suggests a possible interference of OPE with ICI. Changes in gut microbiome is being investigated as an explanation. Clinical trial information: NCT01042379 . [Table: see text]

e17009 Background: Decreased circulating levels of ether lipids (glycerophospholipids with an ether-linked fatty alcohol, e.g. plasmalogens) have been observed in obesity, diabetes and cardiovascular disease. In vitro and in vivo studies suggest that ether lipids are anti-inflammatory and protective against obesity. A recent landmark study revealed that ether lipids can kill cancer cells through ferroptosis. However, the role of ether lipids in prostate cancer has not been thoroughly investigated despite the known association of dysregulated lipid metabolism with poorer clinical outcomes. The aim of this study was to assess the relationship between the circulating profiles of ether lipids and clinical outcomes in localised and metastatic prostate cancer. Methods: The profiles of ~150 ether lipids (8 lipid classes) in plasma lipidomic data from localised prostate cancer (389 men in Australia) and metastatic castration-resistant prostate cancer (mCRPC)(2 cohorts –147 men in USA, 128 men in Australia) were analysed for associations with disease progression or overall survival (OS). Open-access genomic data of mCRPC tumours (108 men, CbioPortal) were analysed for aberrations in genes associated with ether lipid metabolism in relation to clinical outcome. Results: Previously in these study cohorts, we had identified men with poorer prognosis based on their plasma lipidome and our validated sphingolipid signature. These men with poorer prognosis have lower plasma levels of ether lipids than those with better prognosis (t-test p < 0.05, localised disease – 110 ether lipids, mCRPC – 54 ether lipids). Decreased plasma levels of up to 46 ether lipid species were associated with higher rates of clinical relapse in localised disease (hazard ratio (HR) range 0.37-0.73, p-value range 0.006-0.049), shorter radiological progression-free survival in mCRPC (HR range 0.35-0.73, p-value range 0.00009-0.049), and shorter OS in mCRPC (HR range 0.33-0.79, p-value range 0.000004-0.0497). Chromosomal loss of tumour GNPAT, an essential gene in ether lipid synthesis, was associated with shorter OS in mCRPC (HR = 1.36, 95% CI 1.02-1.81, p = 0.03). Conclusions: Lower circulating levels of ether lipids were associated with worse prognosis in localised and metastatic prostate cancer, suggesting that these lipids are protective against disease progression. Further research is required to understand the role of ether lipids in disease progression, and to determine if modulation of ether lipid levels through supplementation is beneficial.

5071 Background: Best treatment of mCSPC involves doublet therapy (ADT + novel hormonal agent) or triplet therapy (ADT + novel hormone + docetaxel); however, opportunity remains for further improvement. Studies show that homologous recombination repair (HRR) gene mutations are enriched in metastatic prostate cancer, and may portend resistance to docetaxel. CASCARA tested quadruplet therapy (ADT + cabazitaxel/carboplatin + abiraterone) in high-volume mCSPC, aiming to enhance PSA responses and decrease progression at 1 year. Methods: This phase 2 study enrolled 61 mCSPC patients with high-volume disease who received ADT plus cabazitaxel (20 mg/m2 q21d x 6) and carboplatin (AUC=4 q21d x 6) followed by abiraterone (1000 mg, plus prednisone 5 mg). Primary endpoint was freedom from PSA/radiographic progression at 1 year. Other endpoints included PSA50 response, freedom from PSA progression, and safety. Archival biopsies were retrospectively evaluated for HRR ( BRCA1/2, ATM, CHEK2, CDK12, BRIP1, RAD51B) mutations at a CLIA-certified lab. A sample size of 61 was determined using a Simon two-stage design (stage 1: 32 men, stage 2: 29 men) with a null hypothesis of a 1-year PSA/radiographic progression-free rate of 0.80 against a one-sided alternative of 0.92. Results: From 11/2019 to 06/2022, 61 men enrolled at 7 sites. Median age was 64 (range, 45–76) years; 21% were African American. Median baseline PSA was 8.9 (range, 0.1–1021) ng/mL. 44% of men had ECOG=1. 91% had Gleason sum 8–10. Prevalence of DNA alterations (50 evaluable pts) was 18% for HRR mutations, 38% for TP53 muts, 22% for ERG fusions, 10% for SPOP muts. Freedom from PSA/radiographic progression at 1 year was 77% (95% CI, 63–87%), and freedom from PSA progression at 1 year was 81% (95% CI, 67–90%). The PSA50 rate response was 97%. PSA ≤0.2 ng/mL at month-7, a surrogate for survival in other mCSPC studies, was 61%; PSA ≤4 ng/mL at month-7 was 82%. Outcomes according to mutation status are shown. AEs included 7% grade (Gr)-3/4 myelosuppression, 8% Gr-3/4 infections, 10% Gr-3 GI disorders, and 3% Gr-3 fatigue. There were 4 treatment-related discontinuations. Conclusions: Quadruplet therapy with ADT + cabazitaxel/carboplatin + abiraterone was well tolerated. At 1 year, 77% of pts were progression-free. PSA ≤0.2 ng/mL at month-7 was 61%, exceeding the historical month-7 PSA ≤0.2 ng/mL rate of 45% in CHAARTED–docetaxel arm. Further exploration of this quadruplet strategy in randomized phase III studies is warranted. Clinical trial information: NCT03934840 . [Table: see text]

2062 Background: While cancer therapeutics have made tremendous progress within the past several decades, this benefit has not been seen in many primary cancers of the brain. Particularly confounding have been high-grade gliomas (HGG), which retain a dismal prognosis. Currently, novel therapies are being explored to rise to this unmet, critical need. One such therapy are CAR T cells, immune cells which have been engineered to target malignancy-specific antigens. Unfortunately, the efficacy of CAR T cell therapies against solid tumors is significantly limited, in large part due to impaired expansion/persistence in the immune suppressive tumor microenvironment (TME). Here we show that in vivo reactivation of CAR T cells through their native T Cell Receptor (TCR) by an oncolytic virus (OV) has therapeutic benefit in HGG. Methods: An EGFRvIII third-generation MSGV1 retroviral CAR construct containing the CD28, 4-1BB, and CD3z moieties, in tandem with the scFv derived from the human monoclonal antibody 139 and the marker Thy1.1 (38) was used to generate our CAR T cells. C57Bl/6 mice were used for in vivo experiments and both B16- and CT2A-EGFRvIII murine glioma cell lines were injected in the brain to model HGG. OVs and CAR T cells were given systemically by tail vein. OVs used include reovirus, vesicular stomatitis virus, and adenovirus. Results: By using OV in combination with EGFRvIII CAR T cells, we were able to generate a CD8 CAR population with TCR specificity for both the EGFRvIII and OV epitopes. These dual-specific (DS) CAR T expressed a memory phenotype and persisted for much longer than conventional CAR T cells. Further, we showed that these DS CAR T cells are more cytotoxic and can respond more rapidly than their conventional counterparts. We created a novel delivery mechanism for this combination OV + CAR T therapy using virus-loaded CAR T cells to bypass initial antiviral clearance from the immune system. Treatment with these OV-loaded CAR T cells lead to significant benefit in mice with HGG tumors which could be further enhanced by a systemic boost with OV, which rapidly re-activated DS CAR T cells against tumor and resulted in long-term cures of greater than 80% of treated animals. Conclusions: These promising results show that DS CAR T cells can overcome the critical therapeutic challenge of CAR T as a treatment for solid tumors. Given these promising results, we will go on to develop a clinical trial in which CAR T cells will be pre-loaded with OV and administered intravenously to patients with HGG, followed by systemic boosting with virus to re-activate DS CAR T cells against their tumor.

Study Design This retrospective cohort study utilized the National Inpatient Sample (NIS) database for the years 2016–2018. Incidences of street fighting were identified using the corresponding ICD-10 codes. Objective To determine whether alcohol use (measured by blood alcohol content (BAC)) in patients sustaining maxillofacial trauma from hand-to-hand fighting influence hospitalization outcomes. Methods The primary predictor variable was BAC stratified into six categories of increasing magnitude. The primary outcome variable was mean length of hospital stay (days). The secondary outcome variable was total hospital charges (US dollars). Results Our final sample consisted of 3038 craniomaxillofacial fractures. Each additional year in age added +$545 in hospital charges ( P < .01). Non-elective admissions added $14 210 in hospital charges ( P < .05). Patients admitted in 2018 experienced approximately $7537 more in hospital charges ( P < .01). Le Fort fractures (+$61 921; P < .01), mandible fractures (+$13 227, P < .01), and skull base fractures (+$22 170; P < .05) were all independently associated with increased hospital charges. Skull base fractures added +7.6 days to the hospital stay ( P < .01) and each additional year in patient age added +.1 days to the length of the hospital stay ( P < .01). Conclusions BAC levels did not increase length of stay or hospitalization charges. Le Fort fractures, mandible fractures, and skull base fracture each independently increased hospital charges. This reflects the necessary care (ie, ICU) and treatment (ie, ORIF) of such fractures. Older adults and elderly patients are associated with increased length of stay and hospital charges—they are likely to struggle in navigating the healthcare system and face socioeconomic barriers to discharge.

Background: NASH is the progressive form of NAFLD characterized by lipotoxicity, hepatocyte injury, tissue inflammation, and fibrosis. Previously, Rho-associated protein kinase (ROCK) 1 has been implicated in lipotoxic signaling in hepatocytes in vitro and high-fat diet-induced lipogenesis in vivo. However, whether ROCK1 plays a role in liver inflammation and fibrosis during NASH is unclear. Here, we hypothesized that pathogenic activation of ROCK1 promotes murine NASH pathogenesis. Methods and Results: Patients with NASH had increased hepatic ROCK1 expression compared with patients with fatty liver. Similarly, hepatic ROCK1 levels and activity were increased in mice with NASH induced by a western-like diet that is high in fat, fructose, and cholesterol (FFC). Hepatocyte-specific ROCK1 knockout mice on the FFC diet displayed a decrease in liver steatosis, hepatic cell death, liver inflammation, and fibrosis compared with littermate FFC-fed controls. Mechanistically, these effects were associated with a significant attenuation of myeloid cell recruitment. Interestingly, myeloid cell-specific ROCK1 deletion did not affect NASH development in FFC-fed mice. To explore the therapeutic opportunities, mice with established NASH received ROCKi, a novel small molecule kinase inhibitor of ROCK1/2, which preferentially accumulates in liver tissue. ROCK inhibitor treatment ameliorated insulin resistance and decreased liver injury, inflammation, and fibrosis. Conclusions: Genetic or pharmacologic inhibition of ROCK1 activity attenuates murine NASH, suggesting that ROCK1 may be a therapeutic target for treating human NASH.

OBJECTIVE Spondylolisthesis is a common operative disease in the United States, but robust predictive models for patient outcomes remain limited. The development of models that accurately predict postoperative outcomes would be useful to help identify patients at risk of complicated postoperative courses and determine appropriate healthcare and resource utilization for patients. As such, the purpose of this study was to develop k-nearest neighbors (KNN) classification algorithms to identify patients at increased risk for extended hospital length of stay (LOS) following neurosurgical intervention for spondylolisthesis. METHODS The Quality Outcomes Database (QOD) spondylolisthesis data set was queried for patients receiving either decompression alone or decompression plus fusion for degenerative spondylolisthesis. Preoperative and perioperative variables were queried, and Mann-Whitney U-tests were performed to identify which variables would be included in the machine learning models. Two KNN models were implemented (k = 25) with a standard training set of 60%, validation set of 20%, and testing set of 20%, one with arthrodesis status (model 1) and the other without (model 2). Feature scaling was implemented during the preprocessing stage to standardize the independent features. RESULTS Of 608 enrolled patients, 544 met prespecified inclusion criteria. The mean age of all patients was 61.9 ± 12.1 years (± SD), and 309 (56.8%) patients were female. The model 1 KNN had an overall accuracy of 98.1%, sensitivity of 100%, specificity of 84.6%, positive predictive value (PPV) of 97.9%, and negative predictive value (NPV) of 100%. Additionally, a receiver operating characteristic (ROC) curve was plotted for model 1, showing an overall area under the curve (AUC) of 0.998. Model 2 had an overall accuracy of 99.1%, sensitivity of 100%, specificity of 92.3%, PPV of 99.0%, and NPV of 100%, with the same ROC AUC of 0.998. CONCLUSIONS Overall, these findings demonstrate that nonlinear KNN machine learning models have incredibly high predictive value for LOS. Important predictor variables include diabetes, osteoporosis, socioeconomic quartile, duration of surgery, estimated blood loss during surgery, patient educational status, American Society of Anesthesiologists grade, BMI, insurance status, smoking status, sex, and age. These models may be considered for external validation by spine surgeons to aid in patient selection and management, resource utilization, and preoperative surgical planning.

OBJECTIVE The purpose of this study was to evaluate the performance of different supervised machine learning algorithms to predict achievement of minimum clinically important difference (MCID) in neck pain after surgery in patients with cervical spondylotic myelopathy (CSM). METHODS This was a retrospective analysis of the prospective Quality Outcomes Database CSM cohort. The data set was divided into an 80% training and a 20% test set. Various supervised learning algorithms (including logistic regression, support vector machine, decision tree, random forest, extra trees, gaussian naïve Bayes, k–nearest neighbors, multilayer perceptron, and extreme gradient boosted trees) were evaluated on their performance to predict achievement of MCID in neck pain at 3 and 24 months after surgery, given a set of predicting baseline features. Model performance was assessed with accuracy, F1 score, area under the receiver operating characteristic curve, precision, recall/sensitivity, and specificity. RESULTS In total, 535 patients (46.9%) achieved MCID for neck pain at 3 months and 569 patients (49.9%) achieved it at 24 months. In each follow-up cohort, 501 patients (93.6%) were satisfied at 3 months after surgery and 569 patients (100%) were satisfied at 24 months after surgery. Of the supervised machine learning algorithms tested, logistic regression demonstrated the best accuracy (3 months: 0.76 ± 0.031, 24 months: 0.773 ± 0.044), followed by F1 score (3 months: 0.759 ± 0.019, 24 months: 0.777 ± 0.039) and area under the receiver operating characteristic curve (3 months: 0.762 ± 0.027, 24 months: 0.773 ± 0.043) at predicting achievement of MCID for neck pain at both follow-up time points, with fair performance. The best precision was also demonstrated by logistic regression at 3 (0.724 ± 0.058) and 24 (0.780 ± 0.097) months. The best recall/sensitivity was demonstrated by multilayer perceptron at 3 months (0.841 ± 0.094) and by extra trees at 24 months (0.817 ± 0.115). Highest specificity was shown by support vector machine at 3 months (0.952 ± 0.013) and by logistic regression at 24 months (0.747 ± 0.18). CONCLUSIONS Appropriate selection of models for studies should be based on the strengths of each model and the aims of the studies. For maximally predicting true achievement of MCID in neck pain, of all the predictions in this balanced data set the appropriate metric for the authors’ study was precision. For both short- and long-term follow-ups, logistic regression demonstrated the highest precision of all models tested. Logistic regression performed consistently the best of all models tested and remains a powerful model for clinical classification tasks.