Citations

AbstractBackgroundHidradenitis suppurativa (HS) is a chronic inflammatory skin condition that causes substantial physical, emotional and psychological burdens. Guselkumab, a monoclonal antibody that binds to the p19 subunit of interleukin‐23, has demonstrated high levels of efficacy in the treatment of inflammatory diseases, including psoriasis and psoriatic arthritis.ObjectiveTo evaluate the effect of guselkumab on the treatment of HS, a phase 2, multicentre, randomized, placebo‐controlled, double‐blind, proof‐of‐concept study was conducted.MethodsPatients ≥18 years of age with moderate‐to‐severe HS for ≥1 year were randomized to (1) guselkumab 200 mg by subcutaneous (SC) injection every 4 weeks (q4w) through Week 36 (guselkumab SC); (2) guselkumab 1200 mg intravenously (IV) q4w for 12 weeks, then switched to guselkumab 200 mg SC q4w from Weeks 12 through 36 (guselkumab IV); or (3) placebo for 12 weeks, with re‐randomization to guselkumab 200 mg SC q4w at Weeks 16 through 36 (placebo → guselkumab 200 mg) or guselkumab 100 mg SC at Weeks 16, 20, 28 and 36 and placebo at Weeks 24 and 32 (placebo → guselkumab 100 mg). End points included HS clinical response (HiSCR) and patient‐reported outcomes.ResultsAlthough guselkumab SC or guselkumab IV resulted in numerically higher HiSCR versus placebo at Week 16 (50.8%, 45.0%, 38.7%, respectively), statistical significance was not achieved. Numerically greater improvements in patient‐reported outcomes were also observed for guselkumab SC and guselkumab IV versus placebo at Week 16. Through Week 40, no clear differences to suggest a dose response were observed for HiSCR and patient‐reported outcomes.ConclusionsDespite modest improvements, the primary end point was not met and the overall findings do not support the efficacy of guselkumab in the treatment of HS. Clinicaltrials.gov: NCT 03628924.

Abstract Immune related adverse events (irAEs) from immune checkpoint inhibitors (ICIs) are well documented for nearly every organ system, except for the reproductive system. Mouse models have demonstrated that ICIs can decrease ovarian follicular reserve and impair oocyte maturation, which may have implications for fertility (PMID: 36008687). There are no studies investigating the effect of ICIs on fertility in humans. We sought to evaluate ovarian function in women treated with ICIs compared to untreated women by evaluating non-invasive surrogate markers of ovarian reserve, anti-müllerian hormone (AMH) and antral follicle counts (AFC). We enrolled women 18 - 40 years old diagnosed with stage III or IV melanoma. Participants underwent phlebotomy for AMH levels and a pelvic ultrasound to assess AFC. The medical record was retrospectively reviewed to obtain data on patient characteristics, treatments, and outcomes. A total of 14 patients with stage IIIA - IV melanoma participated. Six patients received ICI treatment before AMH and AFC testing while 8 had no prior ICI exposure. The ICI group ages ranged from 22-40 years with a median age of 31 years. The untreated group ages ranged from 25-39 years with a median age of 32 years. The time between starting an ICI and enrolling in the study ranged from 28 - 351 days. ICI regimens included ipilimumab/nivolumab, nivolumab, pembrolizumab, and atezolizumab (on a clinical trial). Four of these six patients experienced an irAE during their course, including: dermatitis, hepatitis, colitis, thyroid dysfunction, and adrenal insufficiency. Median AMH levels were lower for patients treated with ICIs (2.9 vs 4.0 ng/mL), as was median AFC (22.5 vs 23.5 ng/mL). Only three patients’ clinicians discussed fertility preservation. None of the patients underwent fertility preservation. Our study found lower AMH and AFC in women with melanoma who were treated with an ICI compared to untreated women. Although AMH and AFC are surrogate markers for ovarian reserve and fertility, and our study is a small cohort, these early results suggest that ICIs may impact ovarian function. Age is less likely to be a confounding factor as the median age of the treated group was younger than the untreated group. While these results are preliminary, when considered in conjunction with recent pre-clinical data showing changes within the ovaries after ICI treatment, fertility consultation should be considered for young women prior to ICI initiation. We are investigating associations between AMH, AFC, age, ICI exposure, and future pregnancies in an ongoing prospective study. Citation Format: Ashley Hickman, Katherine Smith, Zaraq Khan, Elizabeth Ann Enninga, Yulian Zhao, Elizabeth Cathcart-Rake, Haidong Dong, Lisa Kottschade, Svetomir Markovic, Heather Montane, Anastasios Dimou, Yiyi Yan. Investigating the effect of immune checkpoint inhibitors (ICI) on ovarian function in young patients with melanoma. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6644.

e19501 Background: Relapsed and/or refractory (R/R) disease is observed in patients who receive CD19 targeting chimeric antigen receptor (CAR)-T cells to treat B-cell lymphoid leukemias and lymphomas. We generated a novel CAR, MC10029 that targets B-cell activating factor receptor (BAFF-R) to address this unmet medical need. Methods: We engineered a second-generation BAFF-R CAR (MC10029 CAR). The construct includes the single chain variable fragment (scFv) of our newly developed BAFF-R antibody with CD28 costimulatory and CD3ζ signaling domains. We confirmed MC10029 CAR-T cell antigen-specific activation with in vitro degranulation assays and a direct cytolytic assay. We used BAFF-R positive leukemia and lymphoma cell lines in both in vitro and in vivo models to further characterize MC10029 CAR-T cells, and finally, we enriched tumor primary cells from chronic lymphocytic leukemia (CLL) patients as a target for MC10029 CAR-T cells. In preparation for our Phase I clinical trial, we have manufactured three batches of CAR-T cells using a MC10029-encoding lentiviral vector produced under GMP conditions. The production batches of MC10029 CAR-T cells were evaluated for product quality with Viability, Identity and Potency as well as Safety from adventitious viral agents. Antigen specific cytotoxicity of the MC10029 CAR-T cells was confirmed using our standard degranulation assay. Results: MC10029 CAR-T cells elicited in vitro antigen-specific cytotoxicity against Nalm-6 cells, Z138 cells, MEC-1 cells, and a CD19 knock out Nalm-6 model designed to mimic CD19-negative R/R disease. We demonstrated in vivo antitumor effects of MC10029 CAR-T cells in NSG mice challenged with these same cell lines. We showed cytotoxicity of MC10029 CAR-T cells against CLL patients’ tumors. We also showed our quality control results to highlight our clinical trial trajectory. Conclusions: Novel MC10029 CAR-T cells showed broad utility against BAFF-R positive B-cell lymphoid malignancies in a series of in vitro, in vivo, and ex vivo models. With these robust data, we have moved forward to generate clinical grade MC10029 CAR-T cells using cGMP manufacturing and quality protocols in preparation of a MC10029 CAR-T cell Phase I clinical trial.

3542 Background: Solid tumors can be characterized by distinct immune phenotypes based on the level of T cell infiltration in the tumor microenvironment (TME) which may provide prognostic information and also inform strategies to restore the anti-tumor immune response. Immune phenotypes were determined using an artificial intelligence (AI) algorithm in digitized whole-slide images (WSI) of tumors with deficient (d) mismatch repair (MMR) vs proficient (p) MMR. Methods: Stage III colon carcinomas (N = 401; 393 met QC) from participants in a phase III trial of FOLFOX-based adjuvant chemotherapy were analyzed including all available tumors with dMMR (n = 196) and a randomly selected cohort of pMMR tumors (n = 195). Using an AI algorithm (Lunit SCOPE) previously trained on solid tumors, digitized tumors were categorized into three immune phenotypes based on epithelial and stromal TIL data-driven cutpoints in dMMR and pMMR (inflamed: TIL high in epithelium (> upper 25%); excluded: TIL high in stroma (>lower 25%), low in epithelium; and desert: TIL low in epithelium and stroma). Phenotypes were then examined in relationship to disease-free survival (DFS) using Kaplan-Meier methodology. Results: Of the 3 immune phenotypes in dMMR tumors, 25% were inflamed, 50% were immune-excluded, and 25% were immune-desert. Based on univariate results, multivariable modeling was performed incorporating immune phenotype in addition to age, histological grade, N stage, T stage, performance status, treatment arm, BRAF and KRAS status and identified immune phenotypes and N stage to be significantly associated with DFS. Among dMMR tumors, immune desert phenotype was associated with the poorest DFS (Desert: HR adj 1.95, 95%CI (1.01, 3.80); Excluded: HR adj 0.89, 95%CI (0.47, 1.69); Inflamed: ref; p:0.01). When compared to immune desert tumors, immune-excluded tumors had significantly better DFS (HR adj 0.49, 95%CI (0.27, 0.88), p:0.01). At a median follow-up of 60 months, 3-year DFS of patients with dMMR was 71.2% with Immune inflamed, 78.5% with Excluded, and 54.5% with Desert phenotypes. In contrast to dMMR, univariate analyses of data-driven cutpoints in pMMR tumors was not prognostic. Using a different data-driven cutpoint (15%), the revised immune phenotypes remained non-significant for DFS within pMMR tumors. Conclusions: Distinct AI-derived immune phenotypes in the TME were identified that were significantly prognostic in patients with dMMR, but not pMMR colon cancers. A data-driven immune-desert phenotype was identified in dMMR tumors that was associated with significantly poorer survival. Further investigation of the potential predictive utility of these phenotypes for immunotherapy are planned. Support: https://acknowledgments.alliancefound.org . ClinicalTrials.gov Identifier: NCT00079274 .

3527 Background: Advances in deep learning may improve the ability to evaluate and quantify pathological features in solid tumors to improve prediction of patient disease-free survival (DFS). We used an artificial intelligence (AI) algorithm to quantify morphological features in the tumor microenvironment of stage III colon cancers. Methods: We analyzed digitized stage III colon carcinomas (N = 402; 382 met QC) from participants in a phase III trial of FOLFOX-based adjuvant chemotherapy that included all available tumors with dMMR and a randomly selected cohort of pMMR tumors (median follow-up 60 months) [NCCTG N0147; Alliance for Clinical Trials in Oncology]. Fifteen morphological features were extracted using the QuantCRC algorithm that segments images into carcinoma (low-grade, high-grade, signet ring cell), stroma (immature, mature, and inflammatory), mucin, tumor/stroma ratio, tumor budding/poorly differentiated clusters (TB/PDC), necrosis, smooth muscle, fat, and tumor-infiltrating lymphocytes (TILs) and tumor area (mucin, epithelium and TB/PDC). Analysis of AI-derived features with clinical variables, molecular alterations ( BRAF/KRAS), and DFS were examined using Kaplan-Meier methodology and multivariable Cox regression. Results: Among the 15 AI-derived morphological features, the following differed significantly between dMMR (n = 191) and pMMR (n = 189) whereby dMMR tumors had lower mature stroma, but higher inflammatory stroma and tumor, higher tumor grade and increased mucin, TB/PDCs, signet ring cells, and TILs (all p< 0.05). Among dMMR tumors, multivariable analysis revealed that tumor area [mucin, epithelium and TB/PDC] (HR adj 0.45, 95%CI (0.24, 0.84), p:0.01, [Q2/3 vs Q1]) and N stage were the only significant and independent prognostic variables. Among pMMR tumors, multivariable analysis identified that tumor budding/poorly differentiated clusters (TB/PDCs) (HR adj 0.20, 95%CI (0.06, 0.61), p:0.01, [Q1 vs Q4]) was the strongest prognostic variable and the only morphological feature that was significantly associated with DFS along with age, N stage and T stage. Conclusions: Using AI, we can extract and quantify distinct morphological features in tumor sections that differ between dMMR and pMMR and multivariately, can significantly and robustly enhance prognostication within each MMR group. Among pMMR tumors, tumor budding/poorly differentiated clusters was the strongest predictor of DFS. Support: NIH U10CA180821, U10CA180882, U24CA196171, R01 CA210509 (to FAS). Study NCCTG N0147 received funds from Sanofi https://acknowledgments.alliancefound.org . ClinicalTrials.gov Identifier: NCT00079274 Key words Artificial Intelligence; Tumor Microenvironment; Colonic Neoplasms; Disease-free survival.

e14674 Background: Myocarditis is an uncommon but serious adverse event (AE) of immune checkpoint inhibitor (ICI) therapy. We aimed to identify factors associated with ICI-related myocarditis in cancer patients using pooled data from multiple clinical trials. Methods: Data on 25,965 adults receiving at least one dose of an ICI (nivolumab [NIVO] or ipilimumab [IPI])-containing regimen were extracted from corporate safety and clinical trial databases. Patients missing documentation of AEs, indication, or trial ID were excluded. Myocarditis events were identified using MedDRA preferred terms. A nested case-control study design with controls who had no myocarditis selected at random from the risk sets and matched 1:5 on ICI regimen, duration of exposure to ICI regimen, and trial ID was used. Descriptive statistics were used to derive time to onset of myocarditis and to investigate patterns of myositis and rhabdomyolysis relative to myocarditis. A multivariable conditional logistic regression model was used to identify factors associated with myocarditis. Covariates included age, sex, race/ethnicity, medical history (cardiovascular disease, diabetes, sleep apnea), smoking, cancer type, medication use (within the prior 6 months), and co-occurrences of other AEs (pneumonitis, colitis, and hepatitis). Results: Myocarditis was documented in 122/24,106 (0.5%) patients meeting study eligibility criteria. A total of 732 patients (122 cases and 610 matched controls) from 46 trials were included in the analyses. Mean (SD) age was 63 (12) years; 65% of patients were male, 76% Caucasian, and 52% had a history of cardiovascular disease. NIVO + IPI was the most commonly used regimen (36%), followed by NIVO + relatlimab (25%) and NIVO + chemotherapy (14%). Median (Q1-Q3) time to onset of myocarditis was 38 (26-77) days from first dose of ICI. Myositis was reported in 18/122 (15%) cases and in 2/610 (0.3%) controls (p<0.001). Among the 18 cases, a majority (83%) developed myositis within 3 days before the onset of myocarditis. Rhabdomyolysis was reported in 4/122 (3%) cases, all within a month before myocarditis, and in none of the controls (p=0.001). In adjusted analyses, older age (odds ratio 1.38 per 10-year increase, 95% CI 1.12-1.70) and hepatitis (5.69, 2.24-14.44) were significantly associated with the development of myocarditis. Conclusions: In this large cohort of ICI-treated cancer patients, myocarditis had an early onset and was associated with older age and co-occurrences of hepatitis. Due to a low incidence among controls, rhabdomyolysis and myositis could not be included as covariates in adjusted analyses; however bivariate results showed strong associations between myocarditis and rhabdomyolysis or myositis. These findings suggest that co-occurrences of myositis, rhabdomyolysis, or hepatitis are associated with myocarditis and may originate from a more generalized ICI myopathy.

2505 Background: ATRC-101 monoclonal antibody targets tumor-specific ribonucleoprotein complex (RNP) and elicits anti-tumor immunity, innate and adaptive, in preclinical models. Methods: Phase 1b is evaluating ATRC-101 as monotherapy, every 3 (3M) or 2 (2M) weeks (wk), and ATRC-101 in combination with pembrolizumab (3P) in participants (pts) with advanced solid tumors. ATRC-101 target expression is determined by CAP-CLIA IHC assay. For pts described herein, pre-treatment (tx) tumor biopsies were assessed for target expression by IHC retrospectively or prospectively. Enrollment in 3M and 3P is currently open to pts who are target positive (RNP+ve) by IHC with an H-score ≥ 50. Objectives are safety (primary), PK, immunogenicity, recommended dose for expansion, activity by RECIST1.1 and biomarker analyses in pre-tx and on-tx tumors. Results: As of Nov 18th, 2022, 67 pts received ≥1 dose of ATRC-101 (median prior tx 5, range 1-12). Tumor types were colorectal (CRC, 28), ovarian (10), breast (9), melanoma (8), non-small cell lung (NSCLC, 6), head and neck squamous cell (3), urothelial (1), esophageal (1) and small bowel (1). Tx emergent adverse events (TEAEs) Grade ≥3 occurred in 22 (33%) pts and were related to ATRC-101 in 2 (3%). No tx discontinuations or dose reductions related to ATRC-101. RECIST1.1 best overall responses in efficacy evaluable 61 pts included 1 complete response (CR) in RNP+ve melanoma (3P, 10mg/kg), and 1 partial response (PR) in RNP+ve NSCLC (3M, 30mg/kg). Further, disease stabilized (SD) in 24 pts (39%) and 35 pts had disease progression (PD, 57%) with evidence of association between anti-tumor activity and target expression. Of 24 SD, 22 were in monotherapy cohorts and included 9 CRC pts with highly refractory disease. Conclusions: ATRC-101 alone and in combination with pembrolizumab continues to be well tolerated with evidence of anti-tumor activity. Interim data support ongoing enrollment of pts with RNP+ve pre-tx tumors. Updated and new data including durability of disease control will be presented. Clinical trial information: NCT04244552 . [Table: see text]

We present clinical and imaging predictors of ocular injuries that required medical management versus surgical intervention in cases of orbital fractures. From 2014 to 2020, a retrospective review of patients with orbital fractures who received ophthalmologic consultation and computed scan (CT) analysis at a level I trauma center was performed. Inclusion criteria were patients with confirmed orbital fracture on CT and ophthalmology consultation. Patient demographics, associated injuries, comorbidities, management, and outcomes were collected. Two hundred and one patients and 224 eyes (11.4% bilateral orbital fractures) were included. Overall, 21.9% of orbital fractures presented with a significant concomitant ocular injury. Associated facial fractures were present in 68.8% of eyes. Management included surgical treatment in 33.5% of eyes and ophthalmology-directed medical treatment in 17.4%. On multivariate analysis, clinical predictors of surgical intervention were retinal hemorrhage (OR=4.7 (1.0–21.0), P=0.0437), motor vehicle accident injury (OR=2.7 (1.4–5.1), P=0.0030) and diplopia (OR=2.8 (1.5–5.3), P=0.0011). Imaging predictors of surgical intervention were herniation of orbital contents (OR=2.1 (1.1–4.0), P=0.0281) and multiple wall fractures (OR=1.9 (1.01–3.6), P=0.0450). Predictors of medical management were corneal abrasion (OR=7.7 (1.9–31.4), P=0.0041), periorbital laceration (OR=5.7 (2.1–15.6), P=0.0006), and traumatic iritis (OR=4.7 (1.1–20.3), P=0.0444). We demonstrated a 22% incidence of concomitant ocular trauma in orbital fracture patients at our level I trauma center. Predictors of the surgical intervention included multiple wall fractures, herniation of orbital contents, retinal hemorrhage, diplopia, and motor vehicle accident injury. These findings emphasize the importance of a multidisciplinary team in managing ocular and facial trauma.

The radiotracer 1‐(2‐[18F]fluoroethyl)‐L‐tryptophan (L‐[18F]FETrp or [18F]FETrp) is a substrate of indoleamine 2,3‐dioxygenase, the initial and key enzyme of the kynurenine pathway associated with tumoral immune resistance. In preclinical positron emission tomography studies, [18F]FETrp is highly accumulated in a wide range of primary and metastatic cancers, such as lung cancer, prostate cancer, and gliomas. However, the clinical translation of this radiotracer into the first‐in‐human trial has not been reported, partially due to its racemization during radiofluorination which renders the purification of the final product challenging. However, efficient purification is essential for human studies in order to assure radiochemical and enantiomeric purity. In this work, we report a fully automated radiosynthesis of [18F]FETrp on a Synthra RNPlus research module, including a one‐pot two steps radiosynthesis, dual independent chiral and reverse‐phase semipreparative high‐performance liquid chromatography purifications, and solid‐phase extraction‐assisted formulation. The presented approach has led to its Investigational New Drug application and approval that allows the testing of this tracer in humans.

Nononcogenic somatic mutations are thought to be uncommon and inconsequential. To test this, we analyzed 43,693 National Heart, Lung and Blood Institute Trans-Omics for Precision Medicine blood whole genomes from 37 cohorts and identified 7131 non-missense somatic mutations that are recurrently mutated in at least 50 individuals. These recurrent non-missense somatic mutations (RNMSMs) are not clearly explained by other clonal phenomena such as clonal hematopoiesis. RNMSM prevalence increased with age, with an average 50-year-old having 27 RNMSMs. Inherited germline variation associated with RNMSM acquisition. These variants were found in genes involved in adaptive immune function, proinflammatory cytokine production, and lymphoid lineage commitment. In addition, the presence of eight specific RNMSMs associated with blood cell traits at effect sizes comparable to Mendelian genetic mutations. Overall, we found that somatic mutations in blood are an unexpectedly common phenomenon with ancestry-specific determinants and human health consequences.