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Abstract Background The current treatment of glioblastoma involves resection followed by radiotherapy (RT) and temozolomide. Rapid early progression (REP) of tumor in the surgery-to-radiotherapy interval (SRI) has been described using categorical or semi-quantitative assessments and is associated with inferior clinical outcomes. This study seeks to establish and validate a quantitative definition for REP and examine how REP could inform future therapy. Methods Volumes of tumor and resection cavity at 3 time points—preoperative, postoperative and RT-planning (pre-RT)—were contoured among patients who had undergone standard of care. A minimal, but clinically appreciable, threshold for defining REP based on change in tumor volume was established, validated, and subsequently used to assess actionable predictors of REP and its prognostic value. Results An increase of >2 cc in volume or a new satellite tumor between the post-operative to planning MRI was found to be a sensitive, pragmatic, and statistically significant cutoff for REP (P = .002). Actionable predictors such as SRI of 6 weeks and a > 5 cc residual immediate post-operative tumor volume were found to be statistically significant predictors of REP. REP was also found to be a statistically significant prognostic indicator for overall survival (P = .002) and progression-free survival. Conclusion These findings support that an increase in tumor volume between post-operative and pre-RT MRI of >2 cc is the ideal working definition of REP in this clinical setting. Furthermore, REP could serve as a prognostic ­biomarker to track treatment response. Additionally, 2 actionable predictors of REP, post-op residual tumor volume and SRI, are identified.

Importance Decentralized clinical trials (DCTs) aim to increase trial access for underrepresented populations (URP) and ensure study outcomes, conclusions, and policy-related decisions are applicable to diverse populations. Objective To assess trends in the percentage of accrued participants from more than 120 miles from the research site upon DCT program implementation. Design, Setting, and Participants This descriptive quality improvement study was conducted from January 2024 to March 2025 at Mayo Clinic, a US multiregional, academic medical center (AMC) comprising 3 sites and an affiliated, community-based health care system. All individuals who consented and/or accrued to an institutional review board–approved clinical trial were included. Exposure DCTs are defined as trials with at least 1 decentralized capability beyond remote consent. DCT program development began July 2022. By January 2024, remote consent, video telehealth visits, remote phlebotomy, and device services were implemented across all sites and departments. Remote monitoring and oral medication delivery were available on a limited basis. Prospective automated program and DCT participant data collection and quarterly reporting began in January 2024. Main Outcomes and Measures Percentage of all DCT accrued participants with a residential zip code more than 120 miles from 1 of 3 AMC sites. Results There were 7469 participants (median [IQR] age, 62 [51-70] years; 3594 [48.1%] female; 241 [3.2%] Asian, 391 [5.2%] Black or African American, and 6347 [85.0%] White individuals) accrued to 765 DCTs. During the study period, the percentage of DCT participants residing more than 120 miles from an AMC site ranged from 18.9% in the first quarter (Q1) of 2024 (383 of 2032 participants) to 29.6% in Q1 of 2025 (346 of 1170 participants). Of those accrued, 1147 (15.4%) were of a racial or ethnic URP, ranging from 12.5% in Q1 of 2024 (253 participants) to 17.4% in Q1 of 2025 (204 participants). There were 1554 (20.8%) participants from a rural location, ranging from 16.6% in Q1 of 2024 (338 participants) to 24.9% in Q1 of 2025 (291 participants). Additionally, by geospatial distance from an AMC site, the male-to-female ratio was nearly 50:50, and the age distribution appeared similar. Conclusions and Relevance In this quality improvement study of a DCT program implementation, DCT accruals trended favorably among those residing more than 120 miles from an AMC site and those of rural or URP populations. While these findings cannot be directly attributed to program implementation, they are reassuring that this strategy may address some barriers to clinical trial access. Future studies should assess the sustained effectiveness and scalability of DCT models in improving equitable trial access.

PURPOSE EGFR alterations occur in a subset of biliary tract cancers (BTCs) and are often linked to disease progression and poor prognosis, yet targeted approaches remain underexplored. ERRFI1 , encoding the epidermal growth factor receptor (EGFR) inhibitor MIG6, is mutated in various cancers, including BTC, representing a potential predictive biomarker. We investigated whether loss of ERRFI1 function may enhance sensitivity to EGFR-targeted tyrosine kinase inhibitors (TKIs), presenting a potential therapeutic opportunity. METHODS This is a retrospective multicenter study of patients with BTC harboring ERRFI1 alterations. Data were extracted from electronic health records following institutional approval. ERRFI1 alterations were classified based on the alteration type, variant allele frequencies were documented, and coalterations were analyzed. Treatment outcomes including response, time to progression (TTP), overall survival (OS), safety profiles, and tumor marker kinetics were noted. RESULTS Fourteen BTC patients with ERRFI1 mutations were identified in our database; the median age was 50 years, 64% were males; all cases were intrahepatic cholangiocarcinomas. Common coalterations included IDH1 (36%), TP53 (29%), and ARID1A (29%). All patients received gemcitabine-cisplatin as first-line treatment, and 79% received immune checkpoint inhibitors. Eight patients (57%) received EGFR TKIs. Best responses to EGFR therapy included three partial responses (2 responses lasting >20 months), four stable diseases, and one progressive disease. The median TTP was 7 months (95% CI, 6 to 21 months). Treatment was well-tolerated: toxicities included rash (n = 2), transaminitis (n = 1), and diarrhea (n = 1). The median OS was 20 months (95% CI: 8-36 months); 50% remained alive at last follow-up. CONCLUSION ERRFI1 mutations represent actionable biomarkers in BTC, with EGFR-targeted therapy demonstrating meaningful clinical benefit in this heavily pretreated population. These findings support integration of ERRFI1 testing into routine molecular profiling of BTC and other EGFR-driven malignancies.

Background Tumor-infiltrating lymphocytes (TILs) are established determinants of clinical outcomes in breast cancer. 1–6 While stromal TILs (sTILs) are commonly evaluated due to easier scoring and higher interobserver reproducibility, intraepithelial TILs may provide additional insights into anti-tumor immunity. 7 We aimed to comprehensively characterize immunotype-associated cellular landscapes in triple-negative breast cancer (TNBC) and identify features associated with clinical outcomes. Methods 212 TNBC tumors were classified into three immunotypes based on immune infiltrate location and density: immune desert (ID), immune excluded (IE), and immune inflamed (IN). 8 Single-cell spatial transcriptomics was performed on 75 tumors to define the cellular composition and functional states of the tumor microenvironment across immunotypes. Findings were validated and integrated with bulk RNA sequencing data and clinical outcome datasets from FinXX, CALGB-40603, I-SPY 2, and Real-World Clinico-Genomic Data (RWCGD) cohorts. Results Patients with IN tumors had significantly improved outcomes compared with ID tumors. Despite high sTILs, IE tumors showed poor outcomes similar to ID tumors. Single-cell spatial analysis revealed that ID and IE tumors exhibited reduced major histocompatibility complex I/II expression and fewer tumor-resident plasmacytoid dendritic cells (pDCs) compared with IN tumors, which were enriched for interferon-alpha (IFNα) and interferon-gamma (IFNγ) responses. High IFN response scores were associated with favorable outcomes across multiple therapy types in independent datasets. Deconvolution of RWCGD bulk RNA-seq data confirmed that pDC abundance correlated with improved outcomes specifically in hormone receptor–negative subtypes. Conclusions Our study highlights pDCs and IFN signaling as hallmarks of effective anti-tumor immunity in TNBC. Immunotype-based profiling underscores the limited prognostic value of sTILs alone in immune-excluded tumors and supports pDCs and IFN pathways as potential biomarkers for prognosis and therapeutic development in TNBC.

Prostate cancer is a growing public health concern in Kenya, where it is frequently diagnosed at advanced stages and managed within resource-constrained health systems. This study examined the lived experiences of men diagnosed with prostate cancer, focusing on how the illness shaped their identities, relationships, and daily lives. We conducted a qualitative study using in-depth interviews with 130 men recruited from oncology clinics across five counties (Nairobi, Garissa, Meru, Machakos, and Kisii). Audio recordings were transcribed and translated verbatim into English, where necessary, by trained research assistants. Thematic analysis was conducted following the Braun and Clarke’s six-phase framework, with NVivo 12 Plus supporting data management. Five core themes emerged: 1) emotional and existential disruption at diagnosis; (2) treatment as both a source of hope and hardship; (3) geographic and financial barriers to care; (4) challenges to masculine identity and dignity; and (5) the dual role of family and community as sources of both support and stigma. Prostate cancer precipitated profound identity shifts for Kenyan men, transforming lived experiences from those of strong providers to vulnerable patients and disrupting deeply rooted social and personal roles. These findings underscore the need for holistic, culturally responsive cancer care that integrates psychosocial support from the point of diagnosis and addresses structural barriers to access. Such approaches are essential for advancing patient-centered prostate cancer care in Kenya and similar settings.

LBA10509 Background: The MCED test (Galleri) detects a shared cancer signal from cell-free DNA in blood and predicts a cancer signal origin (CSO) to guide diagnostic (dx) workup. PF2 (NCT05155605) is a large, prospective, multicenter, interventional study of the MCED test’s performance and safety in a diverse US intended-use population. Methods: PF2 enrolled participants aged ≥50y without clinical suspicion of cancer or cancer diagnosis/treatment within 3y of enrollment. Primary objectives were MCED performance and safety in terms of dx testing triggered by a positive (cancer signal detected) MCED test result. Participants with a positive MCED test underwent targeted dx workup guided by the predicted CSO(s). Participant-reported anxiety was assessed with the State Trait Anxiety Inventory. Results: PF2 enrolled 35,878 participants; 32,007 with a 12m cancer assessment were analyzable for performance. Of 287 (0.9%) with a positive MCED test, 173 were diagnosed with cancer within 12m, for a cancer detection rate of 0.5% (95% CI 0.5-0.6%) and positive predictive value of 60.3% (54.5-65.8%). Specificity was 99.6% (99.6-99.7%). 12m episode sensitivity was 69.8% (62.8-76.0%) in a prespecified subgroup of 12 cancers responsible for ⅔ of US cancer deaths, 66.2% (55.1-75.8%) in a subgroup of 6 aggressive cancers with low 5y survival, and 39.3% (34.9-44.0%) across all cancers. Overall CSO prediction accuracy was 91.3% (86.2-94.7%) across all cancers. The MCED test detected 151 new primary and 22 recurrent cancers; additional cancers detected by screening were those with USPSTF A/B (n=31) and C (n=60) recommended screening. Of 151 MCED-detected new primaries, 80 (53.0%) were clinical stage I-II; 107 (70.9%) were stage I-III. Of 80 MCED-detected stage I-II cancers, 71.2% had no USPSTF A/B screening recommendation. Of 35,335 participants analyzable for safety, 213 (0.6%) had invasive procedure(s) to evaluate a positive MCED test result, of which 90% were nonsurgical and 1.8x more likely for participants with vs without cancer diagnosis. Most (87.6%) had a CSO-guided dx evaluation. There were 5 study-related adverse events during the time of dx workup; none were serious. Anxiety temporarily increased for participants with a positive MCED test and cancer diagnosed, and returned to baseline by 12m. Of participants with a positive MCED test, median time from test result to dx resolution was 48d (95% CI 43-56). Few participants (7/63 [11.1%]) had cancer found by dx PET/CT after a targeted dx workup that did not reveal cancer. Conclusion: The MCED test demonstrated robust performance with a favorable safety profile. When MCED testing was added to USPSTF A/B screening, 6.5x more cancers were detected by screening, most at early stages. The diverse, representative PF2 participant population supports the generalizability of these findings to the US intended-use population. Clinical trial information: NCT05155605 .

Background: Real-time intraoperative discrimination of malignant tissue during pediatric solid tumor resection is limited, constraining margin optimization; the utility of indocyanine green (ICG) fluorescence in this population remains incompletely defined. Study Design: Prospective, observational, multi-institutional study (2019–2023) of pediatric, adolescent, and young adult patients undergoing resection of intra-abdominal solid malignancies following preoperative ICG administration. The primary endpoint was diagnostic accuracy of ICG fluorescence for tumor-containing specimens; secondary endpoints included association with margin status and surgeon-perceived intraoperative benefit. Results: Forty-three operations in 42 patients yielded 55 specimens, of which 47 (85%) were malignant. Diagnostic performance was highest in hepatic tumors (sensitivity 83%, positive predictive value 83%) and lower in adrenal and heterogeneous tumor types. ICG avidity was not associated with improved negative margin rates (86% vs 75%, p=0.47). Surgeons reported intraoperative benefit in 67% of cases, most commonly improved visualization. No ICG-related adverse events occurred. Conclusions: ICG fluorescence provides reliable tumor identification in hepatic malignancies but does not correlate with margin-negative resection, indicating limited utility for margin guidance. These data support tumor-specific application and further investigation of optimized fluorescence strategies, including dosing, timing, and alternative fluorophores, in pediatric oncologic surgery.

Graph neural networks (GNNs) are increasingly used for medical imaging analysis and biological data modeling, where the integration of radiomics, topology, geometry, and generative artificial intelligence (AI) may improve representation learning from medical images and related biomedical data. Across the reviewed literature, GNNs show particular value for modeling spatial relationships, multimodal interactions, graph-structured biological networks, and non-Euclidean imaging features that are difficult to capture using conventional convolutional architectures alone. Topology- and geometry-aware approaches further expand this capability by encoding multi-scale structure, higher-order relationships, curvature, geodesic organization, and equivariant spatial priors. Hybrid graph–transformer models and generative graph methods represent emerging directions for modeling long-range dependencies, augmenting scarce datasets, supporting synthetic pretraining, and improving representation learning in low-label or heterogeneous biomedical settings. However, clinical translation remains limited by variability in graph construction, limited external validation, computational cost, scalability constraints, interpretability challenges, and uncertainty regarding the biological realism of synthetic data. Overall, this review highlights that GNN-based medical imaging analysis is most likely to advance when graph construction is biologically justified, model performance is evaluated across diverse clinical cohorts, and technical gains are paired with transparent validation, interpretability, and implementation strategies.

Abstract Horlock, CF, Allen, LE, Jagim, AR, Jones, MT, and Fields, JB. In-season assessment of dietary intake and match demands of men’s collegiate Rugby Sevens players. J Strength Cond Res XX(X): 000–000, 2026—Limited research has examined the external workload demands and dietary intake of collegiate men's Rugby Sevens players. Therefore, the purpose of this study was to (a) quantify match demands in Division 1-AA collegiate Rugby Sevens across a competitive season, and (b) assess players' dietary intake relative to sport-specific nutrition guidelines. Division 1-AA men's collegiate Rugby Sevens players ( n = 13; age: mass: 87 ± 14 kg; body fat %: 20 ± 4%) wore a global positional system device during all matches ( n = 17). External load metrics were total distance (TD) (m), sprint distance (>20.1 km·h −1 ), high-intensity distance (>18.1–20.0 km·h −1 ), meters per minute (m·min −1 ), acceleration efforts (#), deceleration efforts (#), sprint efforts (#), high-speed efforts (#), player load (PL) (arbitrary unit [AU]), PL per minute (AU/min), and estimated energy expenditure (EE) (kcal). Dietary intake was assessed at the start of the season using a 4-day food log. Linear mixed models examined changes in workload parameters across tournament matches. Spearman's rank correlation and linear regression assessed relationships and predictability of EE and external workloads. One-samples t test compared dietary intake relative to established guidelines ( p ≤ 0.05). No significant differences in workload metrics were observed across individual matches. Total distance ( r = 0.968, p < 0.001), m·min −1 ( r = 0.973, p < 0.001), PL ( r = 0.912, p < 0.001), and PL/min ( r = 0.855, p < 0.001) had the strongest correlations with EE. Players significantly underconsumed calories ( p = 0.028) and carbohydrates ( p < 0.01). Monitoring external workloads and assessing dietary intake can provide coaches with strategies to optimize sports performance and nutrition support to prepare players for competition demands.