Citations

Abstract Global incidence and mortality rates for endometrial and cervical cancers have been steadily rising, while these rates for ovarian cancer have decreased. Although these cancers represent unique diseases and challenges, overlapping biology and responses to targeted and immunotherapies create opportunities to advance research through shared knowledge and resources. In 2025, investigators funded by National Cancer Institute (NCI) Specialized Programs of Research Excellence (SPORE) and other NCI-supported grants convened a hybrid meeting to identify challenges and knowledge gaps in translational research, highlight advances, define shareable resources and technologies, and foster collaboration among the Gynecologic Cancer SPORE sites, patient advocates, and NCI staff. Special sessions were arranged for presentations by Patient Advocates, Early-stage Investigators, Investigators Transitioning to Gynecologic Cancer Research. Meeting-wide workshops on Sharing Resources and Reducing Time to Activation of Clinical Trials and networking events were included. Collectively, the presentations converged on three overarching themes: (i) interception and early disease biology, (ii) development of innovative targeted and immune-based therapies, (iii) critical role of shared resources and collaborative infrastructure in accelerating translational progress. The unifying theme across disease sites was molecular advances to improve early detection/prevention and to drive therapeutic advancements. Novel findings discussed included: candidate precursor cells and mechanisms of high grade serous ovarian cancer development; therapeutic vaccines and their delivery methods for cervical dysplasia; identification of immune-targetable ovarian cancer antigens; various novel molecularly targeted drugs and immune-based agents for endometrial and ovarian cancers; and approaches to bypass drug resistance. Workshops delineated actionable strategies to further advance gynecologic cancer translational research.

Abstract The age-related decline in tissue regenerative capacity drives demand for interventions restoring physiological repair mechanisms. Glycyl-L-histidyl-L-lysine-copper (GHK-Cu) has demonstrated significant regenerative, anti-inflammatory, and antioxidant properties in preclinical models, prompting its increasing integration into aesthetic practice despite a paucity of standardized clinical guidelines. This systematic review evaluates the efficacy, safety, and regenerative mechanisms of GHK-Cu in aesthetic medicine to clarify its clinical utility and inform future research. A systematic search of PubMed, Embase, and Cochrane CENTRAL was conducted from database inception through March 2026, following PRISMA guidelines. Eligible studies included clinical and preclinical models investigating GHK-Cu as a standalone intervention for aesthetic applications. 20 studies (18 preclinical; 2 RCTs) were included. Preclinical data consistently demonstrated that GHK-Cu enhances extracellular matrix synthesis (type I collagen and glycosaminoglycans), modulates metalloproteinase activity, and promotes angiogenesis and cellular proliferation. It also exhibited significant anti-inflammatory effects by suppressing TGF-β and IL-6. Clinically, GHK-Cu improved patient-reported satisfaction after laser resurfacing and significantly reduced wrinkle volume and depth compared with controls. Additionally, advanced delivery systems, including microneedles and liposomes, markedly improved its transdermal bioavailability and efficacy. GHK-Cu demonstrates a reasonable biological basis for use as a regenerative agent in aesthetic medicine, supported by available preclinical data. Nevertheless, the findings reported across studies were constrained by methodological variability and a limited number of well-designed clinical trials. Future research incorporating larger, controlled trials with standardized formulations, dosing regimens, and delivery methods will be necessary to close the translational gap and inform the development of consistent therapeutic protocols in clinical practice.

PURPOSE Hematology care delivery is changing rapidly for patients, care teams, and health care institutions. This study simultaneously evaluated utilization data for synchronous/real-time patient appointments, asynchronous/time-delayed patient communications, and provider preferences in a large academic hematology practice to inform sustainable care delivery and workflows in the digital era. METHODS We conducted a retrospective analysis of aggregated adult hematology appointment and patient communication data at Mayo Clinic (Rochester, MN) from January 2023 to January 2025. Data were stratified by appointment modality, patient characteristics, and electronic health record (EHR) message volumes. Additionally, a voluntary, anonymous survey assessed hematology provider preferences regarding appointment modalities, in-basket burdens, and billing practices. RESULTS Among 83,713 completed appointments, 80.8% were in-person, 12.9% video, and 6.4% telephone. Patients age 80 years and older and rural cohorts used virtual modalities at rates comparable with younger and metropolitan cohorts. Asynchronous communication volume was considerable, with 155,036 patient-initiated telephone calls generating a digital cascade of 407,578 EHR messages (a 1:2.6 ratio) and 49,798 patient-initiated advice request in-basket messages generating 343,030 additional EHR messages (a 1:6.9 ratio). Providers (n = 53) strongly preferred in-person appointments for new consults (92.5%) and active therapy management (90.6%) but favored virtual appointments for surveillance (52.8%). Although 86.8% of providers reported spending >30 minutes daily on in-basket management, 94.3% reported not billing for this time. CONCLUSION Telehealth is a substantial component of modern hematology practice, used across all age groups. However, digital cascading and proliferation of asynchronous communications present an invisible and uncaptured workload. Optimizing care delivery could include implementation of a stratified hybrid model, prioritizing in-person appointments for high-acuity needs and virtual appointments for low-acuity needs, alongside standardized workflows to mitigate burdens of the digital era.

Most genetic variants associated with complex traits are hypothesized to regulate gene expression. To understand the genetics underlying gene expression variability, we characterized 14,324 RNA-sequencing samples from the Trans-Omics for Precision Medicine program and performed expression and splicing quantitative trait locus (e/sQTL) analyses in six tissues and cell types, including whole blood ( n = 6454) and lung ( n = 1291). We detected tens of thousands of secondary cis-e/sQTLs, showing that secondary cis-e/sQTL discovery remains unsaturated. We fine-mapped UK Biobank–derived genome-wide association study (GWAS) signals from 164 traits and identified e/sQTL colocalizations for 10,611 GWAS signals, including 7096 that colocalize with secondary e/sQTLs. Our results suggest that even larger e/sQTL analyses will uncover additional secondary e/sQTLs, further benefiting GWAS interpretation.

Abstract Background/Introduction High-density mapping catheters enhance the speed and accuracy of 3-dimensional data collection. However, differences in data acquisition, efficiency, and system processing are not well quantified, even for catheters with similar form factors. Purpose Compare in-vivo and bench performance of the HD Grid X (EnSite X v 5.0.1) and Optrell (Carto v 8.1.1) catheters. Criteria include mapping and modeling efficiency, electrogram (EGM) amplitude dependence on orientation, and resolution of low voltage boundaries. Methods In-vivo: In 6 swine, 5 physicians used each catheter in a randomized order to create models of equivalent detail of the left atrium (LA) and ventricle (LV) during atrial pacing. Comparable mapping parameters were selected between the respective mapping systems. Each mapping catheter was then placed in a stable location at 3 different anatomical sites in the LA and rotated while collecting manual map points. In the right atrium (RA), an independent operator placed groups of 5-6 radiofrequency (RF) lesions with a focal ablation catheter. Each physician, being blinded to the ablated areas, remapped the RA and identified the area(s) they assessed as being ablated. The indicated regions were measured on the mapping system and compared to the actual ablated area(s) observed during necropsy. Bench: Using a wavefront emulator platform, 2 propagation patterns were created—case 1: a single uniform wavefront propagating across the platform, and case 2: two uniform wavefronts colliding in the center of the platform creating a low-voltage region. For both cases, during map collection, the catheter was oriented at 3 different angles (0, 45, and 90 deg.) relative to the propagation direction. For case 1, the EGM amplitudes were compared. For case 2, the spatial resolution of the low-voltage region was defined by the full-width at half max (FWHM), i.e., the measured width of the area containing less than half the max amplitude. Results In-Vivo: Median rate of mapping point acquisition for Grid X was higher than Optrell by 167% (p=0.02; 48,18 points/s) in the LA and 39% (p=0.03; 18,13 points/s) in the LV. Median time for model completion for Grid X was shorter than Optrell by 39% (p=0.047; 318s, 525s) in the LA and 45% (p=0.02; 342s, 620s) in the LV. Grid X measured higher amplitude EGMs in all 3 LA locations (Fig 1). The mean error in the lesion areas identified by Grid X was 25% lower than Optrell (p=0.04; 154, 204 mm²). Bench: In case 1, Grid X recorded a median normalized amplitude which was 58% larger than Optrell (Fig 1). In case 2, Grid X recorded a median voltage resolution which was 34% finer than Optrell (Fig 2). Conclusion Design considerations beyond catheter shape may impact mapping quality and speed. Grid X collects mapping and geometry data faster, is less reliant on catheter orientation to collect high voltage EGMs, and more accurately defines low voltage boundaries compared to Optrell.Figure 1:EGM Amplitude DataFigure 2:Voltage Resolution

Context: Early palliative care can improve end-of-life outcomes, but referrals to palliative care specialists can be delayed in the primary care setting. Objective: This pilot study assessed the effect of a machine-learning algorithm on time to palliative care in a primary care population. Methods: Patients (aged ≥18 years) were eligible if they were empaneled with a primary care provider (PCP) from July 20, 2020, through May 30, 2021. The algorithm evaluated their health records and presented patients who were predicted to have the greatest need for palliative care. Records were then reviewed by palliative care specialists, and patients were randomized in a stepped-wedge fashion to have a referral notification sent to their PCPs if unmet palliative care needs were verified. Time-to-event outcomes were evaluated with Poisson regression models. Results: Of the 127,080 patients evaluated, 934 had their health records presented for review. Some patients were repeatedly presented by the algorithm (total presentations: 1592). In the intervention arm, PCPs were prompted to order a palliative care consultation for 142 patients. The time to 0.1% of the population receiving a palliative care consultation was 60.9 days for the intervention arm versus 71.8 days for the control arm (probability of a shorter time with the intervention, 0.88). Conclusion: A machine-learning algorithm to identify palliative care needs was successfully integrated into a primary care practice. More work is needed to improve the workflow.

LBA5012 Background: There is a critical evidence gap on the relative benefits and harms of proton therapy (PT) compared with photon-based intensity-modulated radiation therapy (IMRT) in prostate cancer. Herein we report early results from COMPPARE, a non-randomized comparative study of outcomes with PT and IMRT in prostate cancer. Methods: Between 2018-2022, 2524 patients from 51 facilities (28 PT and 23 IMRT) enrolled in COMPPARE, including 1501 treated with PT and 1023 treated with IMRT, and were followed prospectively. Treatment naïve patients with localized prostate cancer except those with very high-risk disease were eligible. Treatment was pragmatic with daily standard fractionation (1.8-2.1 Gy) and moderate hypofractionation (2.4-3.1 Gy) permitted. Use of rectal spacers and androgen deprivation were at physician discretion. Patient-reported quality of life data and treatment team-reported toxicity and disease control outcomes were collected at baseline and pre-specified time intervals via VisionTreeOptimalCare; treatment planning and delivery data were collected via the Advanced Treatment Consortium. We analyzed 1404 PT patients and 939 IMRT patients. We report the early primary endpoint of the study, a comparison of patient reported bowel urgency and bowel frequency at 2-years using the EPIC tool, and the secondary endpoints of 2-year CTCAE v5 ≥ grade 2 gastrointestinal toxicity outcomes and 3-year freedom from biochemical progression (FFBP) results reported by the study teams. Results: Study sample size was targeted at 1,500 PT patients and 1,000 IMRT patients, and median follow-up time was 4.0 years. The primary endpoint and secondary toxicity 2-year endpoints focused on the alternative hypothesis of PT superiority. All results include inverse probability of treatment weighting. Using generalized linear mixed effects models, we found there to be no significant difference in EPIC bowel urgency scores (p = 0.324) or bowel frequency scores (p = 0.514) between PT and IMRT cohorts over time up to the 2-year endpoint. For grade 2 gastrointestinal toxicity, the 2-year cumulative incidence was 5.2% for PT and 5.6% for IMRT. Gray’s Test for competing risks showed a hazard ratio (HR) of 0.91 [95% confidence interval (CI): 0.65-1.28, p = 0.6] for PT versus IMRT. The exploratory non-inferiority endpoint of 3-year FFBP was 98.0% for PT and 97.9% for IMRT, and Gray’s Test showed a HR of 0.95 (95% CI: 0.52-1.71, p = 0.90). Conclusions: Analysis of early results of COMPPARE show no significant differences between PT and IMRT in patient reported bowel frequency and urgency, grade ≥2 gastrointestinal toxicity, or FFBP. Assessment of long-term disease control, late toxicity and secondary malignancy will require longer follow-up. Clinical trial information: NCT03561220 .

ABSTRACT Interferon-γ (IFNγ) signaling is prominent in inflammatory CNS microenvironments across many neurological disorders, but the neuronal peptides presented on HLA class I under these conditions and their functional consequences for CD8 + T cells remain incompletely defined. Here we combine human iPSC-derived human neural aggregates (HNAs), HLA class I immunoprecipitation coupled to LC-MS/MS immunopeptidomics, and microfluidic co-culture assays to map IFNγ-induced neuronal antigen presentation and test antigen-specific cytotoxicity. IFNγ stimulation induced robust HLA class I expression in HNAs and enabled recovery of a canonical 8-12-mer class I ligandome enriched for 9-mers. Neuron-restricted expression of a synapsin-driven polyepitope cassette yielded presentation of defined neoantigen 9-mer peptides on donor HLA class I molecules and, in the presence of IFNγ, elicited activation of autologous antigen-specific CD8 + T cells and consequent antigen-dependent neurite injury. Across four donors, comparative immunopeptidomics identified large IFNγ-unique neural peptide repertoires distinct from matched fibroblasts and revealed a consistent enrichment of predicted high-affinity binders on HLA-B allotypes. Finally, β2-microglobulin deletion ablated peptide recovery, and neuron-restricted β2-microglobulin reconstitution enabled identification of neuron-derived peptides, including peptides derived from neurofilament light (NEFL) that were shared across donors and presented on multiple HLA allotypes. Together, these data provide an integrated platform for neuronal autoantigen discovery and functional validation and support a model in which IFNγ-driven neuronal HLA class I presentation creates an HLA-B-weighted epitope landscape that can be recognized by autoreactive cytotoxic CD8 + T cells.