Citations

PURPOSE Tumor treating fields (TTFields) use alternating electric fields to disrupt cancer cell proliferation. Feasibility of TTFields therapy with gemcitabine/nab-paclitaxel was previously demonstrated in patients with advanced pancreatic adenocarcinoma. PANOVA-3 was designed to confirm safety and efficacy of TTFields in patients with unresectable locally advanced pancreatic adenocarcinoma (LA-PAC). METHODS In this global phase III trial, 571 patients with newly diagnosed LA-PAC were randomly assigned to receive gemcitabine 1,000 mg/m 2 and nab-paclitaxel 125 mg/m 2 by intravenous infusion once a day on days 1, 8, and 15 of a 28-day cycle with or without TTFields. The primary end point was overall survival (OS). Secondary end points included progression-free survival (PFS), local PFS, pain-free survival, and overall response rate (ORR). Distant PFS was analyzed post hoc. RESULTS OS was significantly prolonged using TTFields with gemcitabine/nab-paclitaxel versus gemcitabine/nab-paclitaxel (median, 16.2 months [95% CI, 15.0 to 18.0] v 14.2 months [95% CI, 12.8 to 15.4]; hazard ratio [HR], 0.82 [95% CI, 0.68 to 0.99]; P = .039). PFS, local PFS, and ORR were not improved. Pain-free survival was significantly prolonged with TTFields with gemcitabine/nab-paclitaxel (median, 15.2 months [95% CI, 10.3 to 22.8] v 9.1 months [95% CI, 7.4 to 12.7]; HR, 0.74 [95% CI, 0.56 to 0.97]; P = .027), as was distant PFS (median, 13.9 months [95% CI, 12.2 to 16.8] v 11.5 months [95% CI, 10.4 to 12.9]; HR, 0.74 [95% CI, 0.57 to 0.96]; P = .022). Device-related skin adverse events (AEs) were experienced by 76.3% of patients. Most device-related skin AEs were mild to moderate, with 7.7% of patients reporting a grade 3 AE. CONCLUSION This study demonstrated significant OS, pain-free survival, and distant PFS benefits for TTFields with gemcitabine/nab-paclitaxel versus gemcitabine/nab-paclitaxel in patients with unresectable LA-PAC, with no additive systemic toxicity.

e16479 Background: Recent genomic data has demonstrated SBA to be a molecularly unique entity when compared to colon or gastric cancers. The ongoing SWOG 1922 randomized clinical trial is comparing FOLFIRI to ramucirumab/paclitaxel as the second-line treatment for metastatic SBA. We sought to further define the activity of taxane-based therapy in the largest collection of SBA patients treated with this therapy. Methods: A retrospective review of SBA patients treated with taxane-based chemotherapy from 1994 to 2024 at MD Anderson Cancer Center was performed. All patients had pathologic confirmation, received > 1 cycle of therapy, and had documented tumor response evaluation. Response was assessed by the treating physician based on the imaging studies and categorized as response, stable disease or progression. Patient demographics, clinical parameters, molecular data, and taxane treatment was reviewed. Kaplan-Meier survival analysis was performed to calculate time to progression (TTP) and overall survival (OS). Results: 70 SBA patients treated with taxane-based therapy were identified. The median age at diagnosis was 57 years (range 33-80 years), majority being male (59%) with primary tumor located at duodenum (44%), Jejunum (34%), Ileum (16%). The most common presenting metastatic site was peritoneum (39%), followed by liver (31%). The genomic status revealed mutations in the following genes: 62% TP53, 47% KRAS, 24% SMAD4, and 15% APC. Taxane treatment was single agent (nab-paclitaxel, paclitaxel, or docetaxel) in 29%, gemcitabine and taxane combination in 61% and other taxane-based combinations in 10%. Therapy was given in the metastatic setting as 2nd-line in 40%, 3rd-line in 33% and 4th-line or greater in 20%. Response status was response in 24%, stable disease in 26%, and progression in 50%. Median TTP was 3.1 months (95%CI: 2.0-4.2 months), and median OS was 8.7 months (95%CI: 7.4-10.1 months). Median TTP was similar between single agent (2.6 months) and gemcitabine-based combination (2.5 months) (p =0.75). Efficacy did not differ by line of therapy nor primary tumor site. Efficacy differed by TP53 mutation status: TP53 mutated vs wildtype (response 21% vs 43%, p = 0.02; median TTP 2.4m vs 4.9m, p = 0.013; median OS 7.3m vs 10.6m, p = 0.004). Conclusions: This retrospective study of 70 SBA patients confirms the activity of taxane-based therapy demonstrating a response rate of 24% and median TTP of 3.1 months. Though limited by sample size, TP53 mutations may represent a negative predictive marker for taxane-based therapy in SBA patients. These findings support the ongoing SWOG 1922 trial investigating taxane-based therapy as a second line for metastatic SBA.

Abstract Background: Leukocyte immunoglobulin-like receptor B2 (LILRB2) suppresses immune cell activation, particularly within myeloid cells in the tumor microenvironment (TME), while the PD-1/PD-L1 axis serves as a key immune checkpoint that inhibits T-cell function. SPX-303 is a novel bispecific antibody designed to simultaneously block LILRB2 and PD-L1, thereby revitalizing antitumor immune responses. Here, we present initial findings from the ongoing first-in-human Phase 1 trial of SPX-303 in patients with advanced solid tumors, including safety, pharmacokinetics (PK), and receptor occupancy (RO). Methods: This is an open-label, multicenter Phase 1 study for patients with advanced solid malignancies with 3+3 dose-escalation design, followed by an expansion cohort at the recommended Phase 2 dose (RP2D). SPX-303 is administered intravenously every three weeks and safety is assessed through CTCAE v5.0 criteria. Primary Objectives of this study are to determine the safety, tolerability, and RP2D of SPX-303. Secondary endpoints include antitumor activity as well as characterization of the PK and PD of SPX-303. This study is currently open and enrolling in escalation cohorts. Citation Format: Justin Moser, Hao Xie, Yujie Zhao, Yousef Zakharia, Dongdong Li, Brandon William, Dinh-Duc Nguyen, Jack Hovey, Tiffany Li, Robert Cai, Jichun Ma, Jingdong Qin, Martin Siekierzycki, Anthony Haight, Hua Jin, Weiwei Mao, Kevin Bin Li, Gui-Dong Zhu. A first-in-human phase 1 study on the safety, PK, receptor occupancy, and pharmacodynamic markers of SPX-303, a first-in-class LILRB2×PD-L1 bispecific antibody [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_2):Abstract nr CT116.

Abstract Objective The rapid evolution of the COVID-19 virus has led to the development of different vaccine shots, each designed to combat specific variants and enhance overall efficacy. While vaccines have been crucial in controlling the spread of the virus, they can also cause adverse events (AEs). Understanding these relationships is vital for vaccine safety monitoring and surveillance. Methods In our study, we collected data from the Vaccine Adverse Event Reporting System (VAERS) and social media platforms (Twitter and Reddit) to extract relationships between COVID-19 vaccine shots and adverse events. The dataset comprised 771 relation pairs, enabling a comprehensive analysis of adverse event patterns. We employed state-of-the-art GPT models, including GPT-3.5 and GPT-4, alongside traditional models such as Recurrent Neural Networks (RNNs) and BioBERT, to extract these relationships. Additionally, we used two sets of post-processing rules to further refine the extracted relations. Evaluation metrics including precision, recall, and F1-score were used to assess the performance of our models in extracting these relationships accurately. Results The most commonly reported AEs following the primary series of COVID-19 vaccines include arm soreness, fatigue, and headache, while the spectrum of AEs following boosters is more diverse. In relation extraction, fine-tuned GPT-3.5 with Sentence-based Relation Identification achieved the highest precision of 0.94 and a perfect recall of 1, resulting in an impressive F1 score of 0.97. Conclusion This study advances biomedical informatics by showing how large language models and deep learning models can extract relationships between vaccine shots and adverse events from VAERS and social media. These findings improve vaccine safety monitoring and clinical practice by enhancing our understanding of post-vaccination symptoms. The study sets a precedent for future research in natural language processing and biomedical informatics, with potential applications in pharmacovigilance and clinical decision-making.

Abstract Background The mechanisms underlying metastatic latency in renal cell carcinoma (RCC) remain poorly understood. Methods This study evaluated 2 large independent cohorts for differences in tumor biology between patients who developed metastases early (≤1 year after nephrectomy) and those with late onset (>3 years). Results In the discovery cohort (n = 161), late metastatic RCC was associated with clear cell histology (88.9% vs 78.7%), lower pathological stage (pT1-2; 40.3% vs 18.0%), and favorable histopathological features including low grade (40.0% vs 2.3%), less sarcomatoid (5.6% vs 21.8%), and reduced necrosis (37.7% vs 78.3%; all P < .02). Late metastatic RCC tumors exhibited increased angiogenesis (63.5% vs 19.4%) and reduced inflammation (78.8% vs 50.0%; all P < .02) profiles. Genomic driver analyses revealed comparable rates of PBRM1 and SETD2 loss in late and early metastatic RCC, while BAP1 loss was significantly less common in late metastatic RCC (7.5% vs 27.1%; P < .02). In multivariable models, BAP1/PBRM1/SETD2 status and tumor necrosis emerged as key discriminators of late metastatic RCCs. These findings were confirmed in the second cohort (n = 307). Late metastatic RCC was enriched for fatty acid oxidation and angiogenesis pathways, supporting a less aggressive phenotype. This was further evidenced by a lower engraftment rate in murine models (0% vs 36.5%; P < .001) and significantly longer overall survival from the time of metastasis (median survival doubled, P < .001). Interestingly, late metastatic RCC shared genomic and phenotypic features with RCC that metastasizes to the pancreas, suggesting a common underlying biology influencing both metastatic latency and pancreatic tropism. Conclusions Overall, these findings advocate for recognition of late metastatic RCC because of its distinct biology and improved prognosis.

AbstractAutoimmune pancreatitis (AIP) is identified as a severe chronic immune‐related disorder in pancreas, including two subtypes. In this study, pancreatic lesions in patients diagnosed as either type 1 AIP or type 2 AIP are examined, and these patients’ peripheral blood at single‐cell level. Furthermore, flow cytometry, immunofluorescence, and functional assays are performed to verify the identified cell subtypes. In type 1 AIP, there is a notable increase in the amount of B cells and plasma cells, and IgG4+ plasma cells are key pathogenic cells of AIP. The differentiation path of naïve‐stage B cells into IgG4+ produced plasma cells is observed, and an increased amount of T helper cells and T follicular helper (Tfh) cells. This study also reveals that HIF‐1α, an activated transcriptional factor, can directly bind to promoter site of NAMPT, promoting higher levels of visfatin production in HIF1A+ classical monocytes. Pancreatic stellate cells can be activated by extracellular visfatin and promote the development of fibrotic response in pancreatic lesions across both AIP subtypes. The current findings shed light on the exploration of dynamic alterations in peripheral blood cells and cell subgroups in pancreatic lesions of AIP, while elucidating a pathogenic cell subset and potential fibrosis mechanism of AIP.

AbstractBackgroundIndividuals meeting neuropathological criteria for Alzheimer’s disease (AD) may manifest with atypical clinical syndromes. Past work showed that the neurobiological basis for these differences is related to specific neuronal vulnerabilities for tau pathology. For instance, amnestic cases have a higher burden of neurofibrillary changes in CA1. In contrast, logopenic variant primary progressive aphasia (lvPPA) cases have a higher tau burden in the superior temporal gyrus (STG). Single‐cell technology enables investigations on the molecular basis of differential neuronal vulnerability in AD. Consequently, we delved into the factors that underlie this selective vulnerability by analyzing brain samples from individuals exclusively afflicted with AD but exhibiting diverse clinical manifestations.MethodsnRNA Sequencing using the Chromium Single Cell 3′ (10X Genomics, USA) on nuclei cells extracted from the CA1 sector and posterior STG of postmortem brain tissue of 48 individuals either meeting pathological criteria for AD (A3B3C3; 24 amnestic and eleven lvPPA) and healthy controls (A≤1B≤1C≤1; n = 13) (Table 1, Fig. 1A/B). Bioinformatics analyses were conducted using Cell Ranger and R software. Comparisons between cell subpopulations were conducted with the Wald statistical test, and p‐values < .05 were considered significant.ResultAfter quality control, we recovered more than 250k nuclei with a mean of 2,130 genes per nuclei. Upon cross‐sample alignment and t‐stochastic neighborhood embedding clustering (Fig. 1C), we found 21 excitatory neuronal subpopulations (Exc‐sub) in CA1 and 26 in STG, and 22 and 25 inhibitory neuronal subpopulations (Inh‐sub) in CA1 and STG, respectively; 16 astrocytes subpopulations in both areas and 20 microglia subpopulations in CA1 and 17 in STG (Fig. 2). One STG Exc‐sub, expressing CUX2 and LAMP5 genes showed vulnerability in lvPPA patients. Also, one STG Inh‐sub, expressing the ADARB2 gene, showed vulnerability for all AD patients.ConclusionOur preliminary study identified a vulnerable population of excitatory neurons related to lvPPA. We are conducting validation studies using quantitative pathology to confirm these results. Furthermore, analysis of a higher number of cases is ongoing and will continue to inform on factors associated with neuronal vulnerability.

Abstract Dementia caregivers are at heightened risk for developing mental and physical health problems. Interventions designed to protect caregiver health often create additional demands on time and energy (e.g., exercise programs). Technology-based interventions (e.g., remote monitoring) can be effective, scalable, and do not add greatly to caregiver burden. Through a collaboration with a local technology company, Care Daily, we conducted two randomized controlled trials to evaluate People Power Caregiver (PPCg), a system of sensors in the home connected to cloud-based AI that alerts caregivers about worrisome deviations from normal patterns (e.g., care-recipient’s falls, wandering). Across two studies (study 1: 9-month duration with professional installation of PPCg; study 2: 6-month duration with caregiver self-installing the PPCg using remote tech support), 284 caregivers were recruited; 261 completed initial study deployment (e.g., system installation); and 235 completed the entire study protocol. Use of PPCg was associated with (a) reduced caregiver anxiety in study 1; (b) greater protection from declines in sleep efficiency in studies 1 and 2. These findings underscore the promise of technology-based intervention to mitigate health problems in dementia caregivers. However, challenges and complexities in recruitment (e.g., remote consenting both caregivers and care recipients), retention (e.g., due to changes in home environment or caregiving status), system installation (e.g., working with caregivers with less experience using technology), data quality assurance (e.g., invalid sensor data) as well as our efforts to overcome these challenges have been instructive. Lessons learned from these studies can provide useful guidance for future large-scale, technology-based interventions for dementia caregivers.