Citations

Abstract Chronic low‐grade inflammation characterizes type 2 diabetes mellitus (T2DM) and underlies the development of peripheral neuropathy, symptoms of which include mechanical allodynia and an exaggerated exercise pressor reflex. The purpose of this study was to determine whether mechanical allodynia and/or specific concentrations of inflammatory mediators coincide with the presence of an exaggerated exercise pressor reflex. Haemoglobin A1c was assessed to detect diabetes onset (threshold ≥5.6%) in male University of California Davis (UCD)‐T2DM rats ( n = 18). Age‐matched, healthy Sprague–Dawley rats ( n = 18) served as controls. Monthly measurements assessed mechanical allodynia (via paw withdrawal threshold), insulin and inflammatory mediators (via ELISA and multiplex kits). Paw withdrawal threshold was not different between groups prior to diabetes onset. However, by 8 weeks post‐onset, T2DM rats demonstrated a significant decrease in pain threshold compared to that before diabetes onset, which persisted for 8 weeks. This is the same period in diabetes progression as when the exercise pressor reflex is exaggerated. Prior to diabetes onset, UCD‑T2DM rats had significantly higher circulating levels of IL‑6 and IL‑1β, and these elevations persisted throughout disease progression, with only CRP showing a significant increase at 8 weeks post‑onset. These findings offer a useful foundation for further exploration into the assessments of mechanical allodynia and inflammation to determine when those with T2DM are at an increased risk for experiencing adverse cardiovascular events.

ABSTRACT Objective Automated insulin delivery (AID) has been established as an effective therapy for individuals with type 1 diabetes. This analysis evaluates the clinical and economic outcomes of AID compared with multiple daily injections plus continuous glucose monitoring (MDI/CGM) in adults with type 2 diabetes. Materials and Methods The IQVIA CORE Diabetes Model v10.0 was employed to simulate the impact of using the t:slim X2 insulin pump with Control‐IQ+ technology (Control‐IQ+) versus MDI/CGM over a 50‐year period using data from the 2IQP randomized controlled trial (NCT05785832). Trial data informed cohort demographics, intervention effects and resource utilization while literature sources provided health state utilities and costs. Scenario analyses examined the effect of Control‐IQ+ on reducing HbA1c based on alternative HbA1c progression estimates from the Swedish National Diabetes Registry and alternative resource use and treatment effects from real‐world evidence. Results The base case analysis indicated that direct medical costs per individual for type 2 diabetes management with Control‐IQ+ were $239 935 compared to $209 792 with MDI/CGM use. Control‐IQ+ resulted in 0.51 additional quality‐adjusted life years (QALYs: 10.36 vs. 9.85 for MDI/CGM), yielding an incremental cost‐effectiveness ratio (ICER) of $59 417 per QALY, 95% CI: ($55 836, $62 998). In probabilistic sensitivity analyses, 89% of simulations produced ICERs below $100 000/QALY. ICERs across all scenarios remained below $100 000 per QALY. Conclusions Control‐IQ+ is associated with increased life expectancy, higher QALYs and reduced complication rates. These findings suggest that Control‐IQ+ is cost‐effective relative to MDI/CGM for managing patients with type 2 diabetes in the United States.

Type 2 diabetes mellitus is associated with an increased risk of several malignancies, prompting interest in the potential oncologic effects of antidiabetic therapies, particularly metformin. This study evaluated cancer-related adverse event reporting associated with metformin compared with other antidiabetic agents using real-world pharmacovigilance data from the FDA Adverse Event Reporting System (FAERS) between Q1 2023 and Q4 2024. A disproportionality analysis was conducted on over 3.2 million reports, including 66,187 metformin cases and 55,257 comparator cases comprising GLP-1 receptor agonists, SGLT2 inhibitors, sulfonylureas, and insulin. Reporting odds ratios (ROR), proportional reporting ratios (PRR), information components (IC), and chi-squared tests were applied across twelve pre-specified cancer types.<br /> Metformin was associated with significantly lower reporting of hepatocellular carcinoma (ROR 0.377, 95% CI 0.181–0.782) and pancreatic carcinoma (ROR 0.669, 95% CI 0.493–0.908). In contrast, increased reporting signals were observed for prostate cancer (ROR 2.065, 95% CI 1.435–2.972), leukaemia (ROR 2.388, 95% CI 1.155–4.939), and breast cancer (ROR 1.404, 95% CI 1.023–1.926). Drug-specific comparisons indicated relatively lower overall cancer reporting for metformin compared with sitagliptin and empagliflozin, but higher reporting compared with insulin. Temporal analyses demonstrated variability in reporting patterns across study quarters.<br /> These findings represent disproportionality signals reflecting reporting associations rather than causal effects and may be influenced by reporting bias, residual confounding, and differences in healthcare utilization. Overall, the results suggest a heterogeneous, cancer-type-specific reporting profile for metformin and highlight the value of pharmacovigilance analyses in generating real-world safety signals. Further confirmation in prospective and mechanistic studies is required.

Tumor Treating Fields (TTFields) represent a novel, non-invasive therapeutic modality in oncology that employs low-intensity, intermediate-frequency alternating electric fields to disrupt mitotic processes and induce cancer cell death. This review integrates mechanistic, preclinical, and emerging clinical evidence supporting the integration of TTFields with immunotherapeutic strategies in pancreatic ductal adenocarcinoma (PDAC). Although immunotherapy has transformed the treatment landscape across multiple malignancies, its efficacy in PDAC remains limited due to the tumor’s dense stroma, immunosuppressive microenvironment, and low immunogenicity. Preclinical investigations suggest that TTFields may potentiate immune-based therapies by enhancing antigen presentation, modulating the tumor microenvironment (TME), and attenuating mechanisms of immune resistance. We highlight studies evaluating TTFields in combination with immune checkpoint inhibitors (ICI), adoptive cellular therapies, and cancer vaccines, emphasizing their potential synergistic effects in PDAC. Clinically, the phase II PANOVA-2 trial demonstrated feasibility and encouraging survival outcomes with TTFields in combination with gemcitabine and nab-paclitaxel, providing the rationale for the ongoing phase III PANOVA-3 trial and the phase II PANOVA-4 trial, which combines TTFields with chemotherapy and atezolizumab. Additional clinical experiences in glioblastoma (GBM) and non-small-cell lung cancer (NSCLC) further substantiate the broader applicability of TTFields as an immunomodulatory adjunct. Remaining challenges include optimizing treatment sequencing, identifying predictive biomarkers, and managing TTFields-associated toxicities. Collectively, current evidence positions TTFields as a promising strategy to augment immunotherapy in PDAC, warranting further translational and clinical investigation to establish its role in reshaping therapeutic paradigms.

Introduction/Objective: Immune checkpoint inhibitors (ICIs) have limited efficacy in prostate cancer. Radiation therapy (RT) combined with ICIs and PI3K inhibition may enhance anti-tumor immune activity. Methods: RT-induced cytosolic double-stranded DNA (dsDNA) was measured in human and mouse prostate cancer cell lines as the surrogate upstream marker consistent with cGAS–STING engagement. In a syngeneic mouse model for castration-resistant prostate cancer (Myc-CaP in FVB mice), triple therapies were studied: (1) anti-CTLA-4, anti-PD-1, and RT, and (2) PIM kinase inhibitor PIM447, anti-PD-1, and RT. Mass cytometry (CyTOF) was used to measure the tumor-immune profile. Results: The peak induction of cytosolic dsDNA was at an RT dose of 13 Gy. In the mouse model, triple therapy with anti-CTLA-4, anti-PD-1, and RT doubled the median survival compared to monotherapy (32 days vs 11 to 22 days, p<0.006). Triple therapy with the PIM kinase inhibitor PIM447, anti-PD-1, and RT nearly tripled the median survival compared to PIM447 monotherapy (82 days vs 29 days, p=0.002). Mass cytometry analysis revealed that the combination of anti-PD-1 and RT reduced myeloid-derived suppressor cells and tissue-associated macrophages and enhanced CD8+ T-cell infiltration. Discussion: Although prostate cancer is an immunocold entity, RT can trigger immune activation, consistent with engagement of the cGAS–STING signaling pathway (cytosolic dsDNA serving as a surrogate upstream marker). In triple therapy, RT can enhance the efficacy of ICI and PI3K-targeted drug therapy, significantly improving overall survival in a mouse model of CRPC. Conclusions: A combination of RT, ICIs, and PIM kinase inhibition may help overcome immune resistance in prostate cancer. This combination therapy approach supports further preclinical validation and careful clinical evaluation and warrants further clinical investigation to optimize treatment strategies for CRPC.

Background Grade group 5 (GG5) prostate cancer (PCa) carries a less favorable prognosis after standard-of-care (SOC) therapy, necessitating novel therapeutic approaches. High-dose rate brachytherapy (HDRBT) and androgen deprivation therapy (ADT) may modulate immune response in GG5 PCa, particularly in tumors with increased immune content. This study evaluated whether the addition of nivolumab to SOC was associated with improved disease control in patients with high-volume GG5 PCa, including those with oligometastatic disease. Methods In this non-randomized phase II trial, 31 patients with localized or oligometastatic GG5 PCa and >30% positive biopsy cores were evaluated between September 2018 and April 2021. Patients received four doses of nivolumab (240 mg every 2 weeks) beginning 4 weeks prior to HDRBT, alongside ADT, HDRBT, and external beam radiation. The primary endpoint was to evaluate whether the 2-year freedom from biochemical recurrence (FFBR) rate would exceed a prespecified historical control rate of 75%. Results Among the 31 patients, the median follow-up was 38.8 months (IQR 31.0–46.5 months). The addition of nivolumab to SOC RT with ADT was associated with a 2-year FFBR rate of 90.3% (95% CI 74.3% to 98.0%) (median FFBR not reached), exceeding the prespecified historical control rate of 75% (one-sided p value from binomial test=0.024). Definitive and probable nivolumab-related toxicity included 6.3% acute grade 2 and 6.3% acute grade 3 adverse events (AEs), with no grade 4+ AEs observed. A higher Decipher immunosuppression score at diagnosis correlated with early pathologic response (p=0.005) and was independently associated with time to metastatic failure (p=0.044). Conclusions Nivolumab combined with SOC was associated with encouraging FFBR in this high-risk GG5 PCa population and may represent a promising therapeutic intensification strategy. The Decipher immunosuppression score may serve as a predictive biomarker for response. These findings warrant further investigation in randomized trials.

Abstract Glioblastoma (GBM), isocitrate dehydrogenase wild-type (IDHwt) and central nervous system diffuse large B-cell lymphoma (CNS-DLBCL) are aggressive brain tumors with overlapping MRI features, yet distinct treatment approaches. Noninvasive tools are needed to aid in differential diagnosis. Deep learning on T1 postcontrast and T2-weighted MRI sequences were used to differentiate GBM and CNS-DLBCL. A three-stage temporal study design was utilized. Model development was performed on 146 patients with CNS-DLBCL and 146 age-matched, sex-matched, and MRI year–matched patients with GBM diagnosed at Mayo Clinic between 1998 and 2019. Models were tested on independent temporal test cohorts. Initial testing included 240 independent GBM diagnosed at Mayo Clinic between 1998 and 2019. The prospective test cohort included 37 patients with CNS-DLBCL and 256 patients with GBM diagnosed at Mayo Clinic after January 1, 2020, and 36 patients with CNS-DLBCL diagnosed at an external institution. Of the patients diagnosed at Mayo Clinic, 47% had MRIs generated from non-Mayo institutions. Two different model approaches were compared: (i) ensemble approach using area under the receiver operating characteristic curve (AUC) and cross-validation for model selection and (ii) loss approach minimizing cross-entropy loss and cross-validation to evaluate prediction performance. The AUCs on the prospective test cohort were 0.84 [95% confidence interval (CI), 0.78–0.90] and 0.83 (95% CI, 0.77–0.88) for the ensemble and loss approaches, respectively. Stability of ensemble prediction improved with the increasing number of models. Stratified AUC analysis demonstrated consistent performance across sex and age. We utilized a robust temporal study design and applied 2 different analytic approaches to develop a classification model. The findings confirm the feasibility of using MRI-based deep learning models to differentiate GBM from CNS-DLBCL. Significance: GBM, IDHwt and CNS-DLBCL are aggressive brain tumors with overlapping MRI features, yet distinct treatment approaches. Noninvasive tools are needed to aid in differential diagnosis. We developed MRI-based deep learning models to differentiate GBM, IDHwt from CNS-DLBCL using a rigorous three-stage temporal design that included prospective validation. The model AUC on a prospective cohort was 0.84.

Importance Hospital-based shootings represent an extreme form of workplace violence, with notable consequences for staff, patients, and visitors. Despite growing concern, these events remain poorly understood. Objective To categorize hospital-based shootings from 2012 to 2024 and incorporate prior published events between 2000 and 2011 to examine trends in shootings over a 25-year span. Evidence Review Events in this systematic review of acute care hospital–based shootings in the US from January 1, 2012, through December 31, 2024, with subgroup analysis of previously published data trending shootings over 25 years (January 1, 2000, through December 31, 2024), were identified using EBSCO Regional Business News, ProQuest US Newsstream Collection, Gun Violence Archive, and Google News Search. Selected shooting events involved at least 1 injured person (a nonperpetrator or perpetrator) that occurred within or on the immediate property of the hospital. Findings A total of 327 news articles of unique hospital-based shooting events (5.2 per year per 1000 hospitals) were included from a review of 6658 articles, spanning 47 US states (94.0%). There was an overall incidence of 25.2 hospital-based shootings per year. Between 2012 and 2024, shootings increased by a mean (SD) of 1.7 (0.5) events per year, from 14 to 34 events (8.4% increase per year). Large hospitals accounted for the highest rate of shootings (258.1 events per 1000 hospitals). Events primarily occurred in urban settings (314 [96.0%]), and 161 (49.2%) occurred in the US South. Nearly one-third (105 [32.1%]) were potentially preventable by weapons screening. From 2000 to 2024, shootings increased by a mean (SD) of 1.1 (0.2) events per year, from 6 to 34 events (6.4% increase per year). A positive correlation was found in annual firearm fatalities in hospital settings and US firearms fatalities overall between 2012 and 2023 ( r = 0.42). Conclusions and Relevance This systematic review found that hospital-based shootings in the US have increased steadily over the past 25 years, representing an intersection between broader national trends in workplace and firearm violence. Large hospitals, those in the US South, and hospitals in urban communities are particularly at-risk settings. These findings underscore the need for hospital-specific prevention strategies, including consideration of weapons screening technology, alongside broader societal efforts to address rising firearm violence.

Abstract Globally, gastric adenocarcinoma is the fourth leading cause of cancer mortality and a major cancer disparity in the United States. Chemoprevention strategies are lacking for high-risk individuals with gastric premalignant conditions (GPMC). Curcumin, the principal curcuminoid in turmeric, exerts immunomodulatory effects in the epithelium and against Helicobacter pylori, and studies suggest chemoprevention potential. We conducted a double-blind, phase IIa randomized controlled trial in high-risk populations in Puerto Rico and Honduras. We investigated the utility of a bioavailable formulation of curcumin (Meriva) among individuals with H. pylori–negative GPMC, specifically, multifocal atrophic gastritis (MAG) or gastric intestinal metaplasia (GIM). Patients were 1:1 randomized to 1,000 mg Meriva daily or placebo for a 6-month intervention with endoscopy at baseline and 6 months. Outcomes included assessment of epithelial cytokine and chemokine levels, histology, and DNA damage as assessed by γ-H2AX phosphorylation IHC. Of the 110 subjects screened, 50 participants were randomized, and 48 completed the trial. A significant reduction in gastric mucosal IL1β levels from baseline in the gastric body, the primary endpoint, was observed in the Meriva group (P = 0.032). Changes in epithelial IL8, TNFα, and inducible protein 10 levels and gastric mucosal histology and DNA damage (secondary endpoints) were similar between arms. Curcumin (Meriva) was safe, well-tolerated, and showed potential as a curcuminoid chemoprevention agent in H. pylori–negative patients with GPMC. A potential reduction in gastric inflammation as measured by gastric mucosal IL1β levels was observed. Further studies are warranted, including studies in H. pylori–positive individuals, based upon the curcuminoid direct effects on H. pylori. Prevention Relevance: Gastric adenocarcinoma is a leading cause of cancer mortality worldwide. Chemoprevention candidates for GPMCs are limited. This randomized phase IIa trial evaluated a bioavailable curcumin formulation in high-risk individuals with MAG and GIM. The results support further study of curcuminoids for gastric cancer risk reduction. See related Spotlight, p. 387 See related article by Morgan et al., p. 391