Citations

3118 Background: Improved risk stratification is critically needed across multiple cancers to guide treatment decisions. This includes reducing overtreatment in Ductal Carcinoma in Situ (DCIS), addressing late recurrence risk in estrogen receptor-positive/lymph node-negative (ER+/LN-) breast cancer (BC), and refining prognosis in head & neck squamous cell carcinomas (HNSCC), and high-grade serous ovarian carcinoma (HGSOC). Tumor-infiltrating lymphocytes (TILs) reflect anti-tumor immunity, whereas tumor-associated macrophages (TAMs) polarize toward anti-tumor M1-like (CD68+) or immunosuppressive M2-like (CD163+) phenotypes. Integrating TILs with TAM polarization markers may better capture inflammatory balance and improve outcome prediction. We developed a hematoxylin and eosin (H&E)-only AI method (VAIP) to quantify TILs and virtual CD68/CD163 TAMs to develop multi-cancer based potential prognostic models. Methods: TILs were detected on H&E with HoVer-UNet, and virtual CD68 and CD163 macrophages were inferred with VISTA. In cancer regions, we computed cell densities and immune-balance ratios and trained cancer-specific Cox models with compact feature sets (DCIS 6; HGSOC 7; ER+ 4; HNSCC 4). Prognostic stratification used disease-free survival (DFS) for DCIS (N=273), HGSOC (training N=165, independent test N=220), and ER+ BC (training N=144, test N=622), and overall survival (OS) for HNSCC (N=77), reflecting clinical endpoints. Evaluation used cross-validation for cohorts without an external test set (DCIS, HNSCC) and independent training and testing when independent cohort was available (HGSOC, ER+). Results: Risk stratification performance across cancer types is in Table 1. The DCIS model used 6 features, largely TIL-macrophage contrast ratios (TIL/M2, TIL/M1). HGSOC used 7 features with a similar ratio-heavy immune-balance signature, plus macrophage-normalized density and polarization metrics (e.g., M1/N, M/N). In contrast, ER+ BC and HNSCC achieved best performance with 4 features dominated by macrophage measures, particularly M2 density and the M1/M2 ratio. Across sites, CD163-related macrophage metrics and immune-balance ratios were consistently informative. Conclusions: Integrating H&E-visible TILs with virtual CD68/CD163 TAMs enables fully automated, H&E-only prognostic biomarkers that stratify OS and DFS across multiple cancers, demonstrating consistent prognostic value in DCIS, ER+ BC, HGSOC, and HNSCC. These findings support further study of this histomorphometric risk classifier through broader external and prospective validation. Performance across cancer types. Cancer Type Cohort C-index HR [95% CI] p-value DCIS All 0.616 1.76 [1.20-2.59] <0.001 DCIS RT/No-treatment 0.624 1.94 [1.15-3.26] 0.003 HGSOC Test 0.553 1.38 [1.02-1.87] 0.030 ER+ BC Test 0.577 1.51 [1.00-2.28] 0.004 HNSCC All 0.603 1.92 [1.03-3.36] 0.012

11025 Background: Adjuvant endocrine therapy (AET) improves outcomes in HR+ breast cancer. Nonadherence to AET is common, but manual screening for nonadherence is fraught. High-specificity structured cancer electronic health record (EHR) data, particularly if it includes key variables like stage, could streamline these steps for both clinical care and research purposes. We conducted an analysis of approaches to identifying patients as eligible for a multi-site AET adherence study to understand how variation in structured data informatics-supported screening impacts coordinator time. Methods: Mayo Clinic implemented a two-step identification: (1) EHR structured data (diagnosis date, stage, ER/PR/HER2 positivity, medication script) to prescreen for eligibility; (2) SureScripts fills to flag nonadherence using proportion of days covered < 80% across early fills. Medical College of Wisconsin (MCW) implemented a more manual screening process for Step 1 using only medication scripts. Coordinators at both sites then conducted a medical record review to assess if the resulting list of patients had a plan to continue AET for at least two additional years. Opt-out clinician permission preceded patient contact; pharmacists delivered a patient reported outcome (PRO)-guided intervention and documented encounters. Results: At Mayo, 829 patients were prescreened for study eligibility through informatics workflow; 120 (14.5%) met eligibility criteria. At MCW, 1,763 patients were prescreened; 168 (9.5%) were eligible. EHR filters included non–breast cancer encounters (50% at MCW) and ineligible based on time since cancer (36% at Mayo; 26% at MCW). At Mayo, screening required 5.6 minutes/patient for experienced coordinators. At MCW, experienced coordinators averaged 6.67 minutes/patient and inexperienced coordinators averaged 9.33 minutes/patient. Conclusions: Structured EHR data, pharmacy-fill information, and standardized workflows allowed consistent prescreening, intervention and recruitment processes across sites. Higher-specificity informatics-supported screening reduced the percentage of patients requiring manual review and reduced coordinator screening time. It also supported timely provider-permission steps and patient outreach. These workflows were feasible to implement at both institutions, and study enrollment is ongoing. Clinical trial information: NCT06765707 .

Abstract TRIM29 (Tripartite Motif-Containing Protein 29), also known as ATDC (Ataxia-Telangiectasia Group D-Complementing Protein), is an E3 ubiquitin ligase frequently upregulated in muscle-invasive bladder cancer (MIBC). We have previously shown that TRIM29 overexpression in a genetically engineered mouse model (GEMM) is sufficient to drive development of MIBC. We have also shown that TRIM29 is enriched in basal bladder cancer subtypes and is part of a TP63-regulated program that promotes migration and invasive progression. Prior studies suggest that Keratin 5/14 (K5+/K14+) expressing basal-stem progenitor cells in the urothelium are the cells of origin for MIBC in mice. However, whether Trim29 expression in these basal urothelial cells is required for MIBC development has not been established. In this study, we find that Trim29 expression in K5+ basal cells is linked to the inflammatory response and is critical for bladder tumor formation and invasive progression. We show that urothelial TRIM29 expression is enhanced during inflammation in humans and under inflammatory and genotoxic stress in mice. Knockout (KO) of Trim29 in the K5+ basal urothelium of a GEMM exposed to a bladder-specific chemical carcinogen blocked MIBC development. Further, urothelial Trim29 KO enriches immune cell recruitment to the bladder and upregulates STING and inflammatory signaling in mouse and human bladder cancers. These data reveal a critical role for TRIM29 in immunomodulation of the bladder tumor microenvironment (TME), which may act in concert with pro-migratory basal gene programs to expedite MIBC development.

OBJECTIVE The objective was to evaluate the trajectories of hematoma resolution and functional improvement after middle meningeal artery embolization (MMAE) for chronic subdural hematoma (cSDH), model the temporal pattern of cSDH resolution, and identify factors associated with favorable outcomes. METHODS This real-world multicenter retrospective study included cSDH patients treated with MMAE at 24 centers between 2019 and 2024. Hematoma thickness was measured at baseline and at follow-up intervals (1–4 weeks, 1–3 months, 3–6 months, 6–12 months, and > 12 months after embolization). Resolution patterns were modeled using exponential decay functions. Modified Rankin Scale (mRS) scores assessed functional outcomes. Good functional outcome was defined as mRS score ≤ 2. Resolution patterns were modeled using exponential decay functions to estimate time to 50% and 80% reduction. Patients were categorized as complete resolution (≥ 99%) or by quartile of the remaining distribution (substantial [73%–98%], moderate [53%–73%], partial [27%–53%], minimal [< 27%]). The primary outcome was good functional status (mRS score ≤ 2). RESULTS The authors analyzed a total of 1781 patients with 2295 cSDHs who underwent MMAE. The mean ± SD age was 72.8 ± 12.4 years and 68.1% of patients were male. The initial mean hematoma thickness was 15.31 ± 6.53 mm, decreasing to 5.24 ± 5.91 mm at final follow-up (mean reduction 64.3% ± 42.1%). Resolution followed an exponential decay pattern, with an estimated time to 50% reduction of 1.8 months and to 80% reduction of 8.9 months. Complete resolution occurred in 1031 of 2224 patients (46.4%) with complete follow-up. The median (IQR) mRS score improved from 1 (0–3) at baseline to 0 (0–2) at > 12 months. Good functional outcomes were more common in patients with complete versus minimal resolution (68.9% vs 35.0%, p < 0.001). Achieving ≥ 73% resolution within 90 days was associated with better outcomes (good outcome in 76.9% of those with ≥ 73% resolution vs 67.3% in those without, p < 0.001). Neurological deterioration was the strongest predictor of lack of good outcome (23.7% in patients with neurological deterioration vs 82.4% without, p < 0.001). CONCLUSIONS After MMAE for cSDH, reduction in hematoma thickness follows a predictable exponential decay pattern. Greater extent (≥ 80%) and faster timing (within 90 days) of resolution are valuable prognostic indicators. Functional outcomes improve progressively through 6–12 months after the procedure. The relationship between resolution extent and functional outcomes provides quantitative benchmarks for evaluating treatment response.

Abstract Background Babesia and Plasmodium are intraerythrocytic parasites that cause babesiosis and malaria, respectively. Significant associations between human blood group antigens and malaria are known; however, few studies have examined the relationship between blood group antigens and babesiosis. Study Design and Methods From June to August 2025, 100 Babesia polymerase chain reaction (PCR)− and 100 B. microti PCR+ human patient samples tested at a national reference laboratory underwent ABO and D phenotyping and red blood cell (RBC) genotyping of 37 antigens. Results The predicted phenotype of S‐s+ was found in 32% and 50% of Babesia − and B. microti + patients, respectively (χ 2 = 5.97, p = .015, odds ratio = 2.125, 95% confidence interval 1.18–3.78). Two B. microti + patients had the predicted phenotype of Fy(a‐b‐), meaning that Duffy is unlikely to be an essential invasion receptor. There were no statistically significant differences in ABO or D expression between the groups. Discussion Because multiple testing corrections were not applied to the statistical analyses, the S/s predicted phenotype results must be viewed as hypothesis‐generating. This may be the first study to link B. microti infection to human RBC S/s antigens, which are known to impact B. divergens and P. falciparum . Additional studies are needed to understand the impact of the babesiosis patient's blood type on B. microti infection and whether the transfusion of RBCs expressing specific antigens can impact the disease.

Abstract We are interested in artificial gene regulation by exploiting principles learned from lactose repressor (lacI) control of the Escherichia coli lac operon through the formation of tight DNA loops on the order of 100–200 base pairs. We previously showed that appropriately designed DNA target-programmable Transcription Activator-Like Effector dimer (TALED) proteins can produce DNA-looping-dependent gene repression comparable to lacI. Here, we demonstrate regulation of such switches by the principle of controlled repressor autoinhibition. Thus, TALEDs are inhibited by controlled cyclization, dependent on small molecules. Cyclized TALEDs poorly participate in DNA looping. We fit DNA loop length-dependent data with an established thermodynamic model to quantitate these effects. We further demonstrate the ability of small molecules to induce gene expression using this system in actively growing E. coli cells. The resulting designed systems demonstrate regulated gene expression by DNA looping, emulating the lac system but with entirely different molecular components.

Introduction Lynch syndrome (LS) is a hereditary cancer syndrome that increases risk for colorectal and other cancers. We hypothesize that vaccines against tumor-associated antigens CEA, MUC1, and brachyury, simultaneously delivered in an adenovirus serotype-5 vector (Tri-Ad5) combined with the immune-enhancing IL-15 receptor superagonist nogapendekin-alfa-inbakicept (NAI) will reduce the incidence of colorectal neoplasms in LS carriers. Methods In this ongoing phase IIB double-blind placebo-controlled trial, two open-label safety phases (SPs) assessed safety of Tri-Ad5 alone (SP1, n=10) and with added NAI (SP2, n=10). A randomized controlled trial (RCT) follows the SPs. After baseline colonoscopy, vaccine dosing occurs at weeks 0, 4 and 8; Tri-Ad5 alone in SP1 and Tri-Ad5 plus NAI in SP2, with identical boosters at Week 52. The RCT phase participants (n=138) were randomized to receive Tri-Ad5 plus NAI or placebo. All participants complete colonoscopy at Weeks 52 and 104 for assessment of the primary endpoint: cumulative colorectal neoplasm incidence. Secondary endpoints include safety, tolerability, and immunogenicity. Results All 20 SP participants (median age 57.5 (range 42–75), 70% female, 15% minority) received all prime and booster series. SP1 participants reported 139 adverse events (AEs) and SP2 participants reported 178. AEs were predominantly grade 1; no treatment-related serious adverse events (SAEs) occurred. The most common treatment-related AEs were reactogenic events including grade 3 rash (without skin necrosis or breakdown) at NAI injection site (100% of SP2 participants). The RCT phase (n=138) recently completed accrual. Discussion In LS carriers without active cancer, the combination of Tri-Ad5 + NAI was well-tolerated; the RCT phase is ongoing. Clinical Trial Registration https://clinicaltrials.gov/study/ , identifier NCT05419011.

Abstract Rationale Fungal infections remain a major cause of morbidity and mortality post lung transplant due to unique exposure of the allograft to the external environment and the intensity of immunosuppression. Single-center studies have described variable rates of fungal infections. Contemporary population-level data with temporal trends, pathogen distribution, and associated outcomes are limited. Leveraging a large multicenter real-world dataset, we aimed to characterize incidence, prevalence and clinical outcomes of fungal infections among adult lung-transplant recipients. Methods Data were obtained from the TriNetX Global Collaborative Network (160 HCOs). Adult lung-transplant recipients (≥18 years) were identified between 2005 and 2024, using ICD and CPT procedure codes. Patients with solid organ transplants other than lung, combined-organ transplant or stem-cell transplant and HIV patients were excluded. Patients with pre transplant fungal infections were also excluded. Pre-transplant characteristics included demographics, comorbidities within a year, laboratory values within seven days, and medication within 90 days before transplantation. Post-transplant fungal infections were identified using ICD-10 codes for Aspergillus, Candida, Cryptococcus, Mucorales, Histoplasma, Blastomyces, Coccidioides, and Pneumocystis. TriNetX platform was utilized for statistical analysis. Incidence and prevalence of infections, all-cause mortality and transplant rejection were analyzed. Results A total of 12,857 adult lung-transplant recipients were identified. The mean age at transplantation was 57.6 ± 13.4 years, with a male predominance of (57%) and majority were white (65%). Average BMI was 26.8 ± 5.7 kg/m². The most common pulmonary conditions were COPD (15%), pulmonary fibrosis (17%), pulmonary hypertension (9%), bronchiectasis (3%), and cystic fibrosis (3%). Pre-transplant fungal and viral screening assays were rarely available (&lt;1%). Medication exposure within 90 days prior to transplant demonstrated prednisone prescription (17%) methylprednisolone (7%), tacrolimus (6%), and mycophenolate mofetil (7%). Azathioprine and basiliximab were used in 2% each. Systemic antifungals (voriconazole, posaconazole, or fluconazole) in approximately 1% each.The overall incidence of post-transplant fungal infection was 3 % across full study period, rising to 7% in the modern era (2015-2024). Most frequently identified pathogens were Candida spp. (4.8%) and Aspergillus spp. (2.9%), followed by Pneumocystis Jirovecii (0.5%). Infection rates increased from 22 per 1,000 (2005-2014) to 75 per 1,000 (2015-2024) suggestive of improved diagnostic sensitivity and data capture, and longer post-transplant survival. All-cause mortality 5-year post transplant was 22.1%, and rejection rate was 22.5%. Conclusion Our study highlights a rising burden of fungal infections among lung-transplant recipients with potential implications for early post-transplant surveillance and antifungal prophylaxis strategies. This abstract is funded by: None

Abstract Rationale Fungal infections are common after lung transplantation and may adversely affect graft function and survival, but long-term outcomes remain incompletely defined. Using a large multicenter real-world dataset, we aimed to study the impact of post-transplant fungal infections on clinical outcomes of lung transplant recipients. Methods We conducted a retrospective, cohort study using the TriNetX Global Collaborative Network, which aggregates de-identified electronic health records from &gt;160 healthcare organizations across North America, Europe, and Asia. Adult lung transplant recipients (≥18 years) between 2005 and 2024 were identified using ICD-10 and CPT codes. Patients with post-transplant fungal infection (aspergillosis, candidiasis, mucormycosis, histoplasmosis, coccidioidomycosis, blastomycosis) and matched controls without fungal infection within one year before or any time after transplant were identified. The index date was the date of transplantation. Propensity-score matching was performed on demographics, comorbidities, laboratory values, procedures and immunosuppressive medications. Outcomes included all-cause mortality (primary), allograft rejection, and chronic lung allograft dysfunction (CLAD) at 6 months, 1 year, 3 years, and 5 years. Kaplan-Meier and Cox proportional hazards models were used to estimate risk ratios (RRs), hazard ratios (HRs), and 95% confidence intervals (CIs). Analyses were conducted in TriNetX Analytics (v25.0, Cambridge, MA). Results A total of 3,083 patients with post-transplant fungal infection and 11,625 patients without infection were identified. Mean age was 58 ± 13 years, and 56% were male. The most common pulmonary comorbidities were chronic obstructive pulmonary disease, unspecified pulmonary fibrosis, idiopathic pulmonary fibrosis and bronchiectasis. Immunosuppression exposure was similar across groups. After propensity score matching across 56 clinical variables, both groups (1,790 per group) were well balanced. Mortality was higher in the fungal infection cohort at all follow-up points: 13.% vs 9% at 6 months (RR 1.45, 95% CI 1.2-1.75, p = 0.001), 17.8% vs 13% at 1 year (RR 1.36, p = 0.0001), 27.7% vs 21% at 3 years (RR 1.28, p &lt; 0.0001), and 33 % vs 25% at 5 years (RR 1.32, p &lt; 0.0001). Allograft rejection remained consistently higher (46-61% vs 22-34%), while CLAD occurred two- to three-fold more frequently (1.8-5.7% vs 0.7-2%). Conclusion Post-transplant fungal infection is independently associated with significantly increased mortality, acute rejection, and CLAD following lung transplantation. These findings underscore the need for early fungal surveillance, optimized antifungal prophylaxis, and individualized immunosuppression strategies to improve long-term patient outcomes. This abstract is funded by: None