Citations

Abstract Black/African American populations, globally, bear the greatest prostate cancer (CaP) burden compared to other racial/ethnic groups. Addressing CaP disparities in Black men is complex, requiring a patient-centered, community-centric and comprehensive approach. This study integrates iCCaRE Consortium findings and broader literature to address unmet needs in survivorship care. The iCCaRE Consortium implemented five complementary pilot studies using mixed-methods designs, including feasibility trials, qualitative research, and observational analyses across the United States and sub-Saharan Africa. Descriptive statistics, subgroup analyses, and qualitative thematic analyses were performed across these studies. Collectively, projects addressed multilevel determinants including social, behavioral, and biological drivers of disparities. Project 1 implemented a Virtual Reality Assistant (ViRA) across clinical and community settings, with ongoing evaluation in pragmatic trials. Project 2 showed strong patient preference for home-based cancer care. Project 3 enrolled demonstrated trends toward improved health-related quality of life. Project 4 identified key themes influencing survivorship experiences. Project 5 identified biological mechanisms linking stress, immune modulation, and symptom burden. The iCCaRE pilot projects demonstrate the feasibility and early impact of a consortium-based, transdisciplinary approach to addressing CaP disparities in Black men. These findings highlight the importance of integrating patient-centered interventions, community engagement, and biological insights to inform scalable strategies aimed at improving survivorship outcomes and advancing health equity. The iCCaRE Consortium demonstrates that a transatlantic, patient-centered, and multidisciplinary approach integrating social, clinical, and biological factors can generate scalable strategies to improve survivorship outcomes and advance equity in CaP care for Black men.

Abstract Context Biochemical test results are central to clinical decision-making for the diagnosis and management of Cushing syndrome (CS). With emerging research and increasing availability of different tests, updated consensus on the utility of these biomarkers is warranted. Objective To establish an updated consensus on the role of biomarkers in the diagnosis and monitoring of adrenocorticotropic hormone-dependent CS, address novel therapeutic approaches, and identify areas for future research. Design A modified 2-round Delphi panel was conducted. Consensus was defined as ≥70% agreement/disagreement for Likert-scale statements or ≥70% selection of the same option for single-choice questions. Setting Participants represented a range of international expertise. Participants Forty-one participants took part in the Delphi panel, with no attrition between rounds (one nonclinician was not required to complete the second round). An 8-member Steering Committee guided statement development. Results Of statements designed to reach consensus, 45% (14/31) and 44% (11/25) statements reached consensus in Rounds 1 and 2, respectively. Notably, most panelists reported the use of late-night salivary cortisol for diagnosis of mild CS and for monitoring following pituitary surgery or medical or radiation therapy. Most panelists responded that block-and-replace therapies can be considered in patients with cyclical or severe CS, and consensus was reached that restoration of circadian rhythm is a treatment goal for patients with CS. Conclusion Areas of alignment among experts on the diagnosis and monitoring of CS are presented. The findings from this study are intended to support clinicians in their clinical decision-making and highlight priority areas for future research.

Abstract Amyotrophic lateral sclerosis (ALS) is a fatal, rapidly progressive neurodegenerative disease of motor neurons for which therapeutics are limited. Improved biomarkers are imperative to improve patient care and therapeutic development. Here, we employed 35-plex isobaric tandem mass tag labeling based on isobutyl-proline reporter group (TMTpro) to perform unbiased proteomic analysis of cerebrospinal fluid (CSF) and plasma from control (n= 28, n= 31) and sporadic ALS (sALS) (n= 39, n= 41), from the Target ALS Global Natural History Study (TALS GNHS). We identified 2,875 proteins in CSF and 1,118 proteins in plasma and identified known and novel differentially expressed proteins (DEPs) between controls and sALS, some of which were orthogonally validated using immunoassay. Comparison of TMTpro-MS and Olink proximity extension assay proteomics revealed common and non-overlapping differentially expressed proteins illustrating strengths unique to each platform. This initial cross-sectional proteomic study of biofluids from the TALS GNHS, with unrestricted availability of study results to the research community, highlights the potential of this resource as a potent platform for ALS biomarker discovery.

ABSTRACT Background Men with castration‐resistant prostate cancer (CRPC) who have a pre‐existing history of cardiovascular disease (CVD) or other comorbidities are often excluded from clinical trials involving oral androgen receptor pathway inhibitors (ARPi). In this study, we compared all‐cause and prostate cancer‐specific mortality among CRPC patients, with and without a pre‐existing history of CVD, receiving ARPi compared to chemotherapy. Methods Men with CRPC were identified using the Surveillance, Epidemiology, and End Results‐Medicare Linked Database from 2004 to 2015. Patients were grouped into two analytical cohorts by drug use. Inverse probability treatment weights (IPTW)‐adjusted Cox models and Fine‐Gray subdistribution hazards models were used to evaluate associations between ARPi and chemotherapy, and between ENZ and AA for all‐cause mortality and cancer‐specific mortality separately. Results The study cohort included 1438 men with CRPC. Nearly 54.4% of patients had a pre‐existing history of CVD. Patients with a pre‐existing history of CVD had a higher incidence of all‐cause and prostate cancer‐specific mortality compared to patients without a history of CVD (all‐cause mortality: 69.7% vs. 59.3%, prostate cancer‐specific mortality: 56.0% vs. 49.5%, respectively). In the pre‐existing history of CVD cohort, the IPTW‐adjusted Cox model showed a significantly lower all‐cause mortality in patients who received APRi, enzalutamide, and abiraterone, versus chemotherapy (IPTW‐adjusted hazard ratio [AHR], 0.56; 95% Confidence Interval [CI], 0.48–0.64; p ‐value < 0.001). Further, the IPTW‐adjusted competing risk model showed significantly lower prostate cancer‐specific mortality in patients who received ARPi compared with those who received chemotherapy (IPTW‐AHR, 0.48; 95% CI, 0.41 to 0.57; p ‐value < 0.001). In the without pre‐existing history of CVD cohort, the adjusted Cox model showed significantly lower all‐cause mortality in patients who received APRi than those who received chemotherapy (IPTW‐AHR, 0.49; 95% CI, 0.41–0.60; p ‐value < 0.001). Whereas the IPTW‐adjusted competing risk model showed significantly lower prostate cancer‐specific mortality in patients who received ARPi compared with those who received chemotherapy (IPTW‐AHR, 0.52; 95% CI, 0.42–0.64; p ‐value < 0.001). Conclusion In this population‐based cohort of older men with castration‐resistant prostate cancer, treatment with oral androgen receptor pathway inhibitors was associated with lower estimated risks of all‐cause and prostate cancer–specific mortality compared with chemotherapy in patients with and without pre‐existing CVD. These findings add real‐world comparative effectiveness evidence for patient populations not well represented in randomized clinical trials; however, given the observational design and limitations of administrative data, residual confounding and unmeasured clinical differences may have influenced the results.

Importance Stool metabolites influencing gut motility and sensation may contribute to fecal incontinence (FI). Objective The objective of this study was to test whether FI is associated with higher levels of butyrate and Clostridiales taxa in stool. Study Design Stool metabolites and microbiota were compared between 96 women with FI and 42 controls. FI frequency and subtype (urgency vs insensible) were measured using a 14-day bowel diary, St. Mark’s score, and the Accidental Bowel Leakage questionnaire. Metabolite analysis included targeted analysis (8 short-chain fatty acids including butyrate, 17 bile acids, and 8 tryptophan derivatives) and untargeted analysis. Stool microbiota were characterized using 16S rRNA gene sequencing. Multivariable and exploratory multiomics factor analysis were performed with statistical significance defined as false discovery rate (FDR) ≤0.10. Results The FI group had a higher proportion of Bristol stool types 2 and 6 than controls ( P = 0.005). The mean number of leaks for the FI group was 1.7 ± 1.7 per day, 38% had urgency FI, and 39% had insensible FI. There was no significant difference between groups in butyrate levels and Clostridiales taxa. Multiomics analysis identified glycerolipids (monoacylglycerols and diacylglycerols) associated with FI (FDR = 0.08). In addition, insensible FI was associated with glycerolipids, long-chain saturated and monounsaturated fatty acids, phospholipids, and dipeptides (FDR = 0.08–0.09). The top weighted microbiota associated with these metabolites were Lachnospiraceae and Ruminococcaceae; however, these taxa were not directly associated with FI. Conclusion Butyrate and Clostridiales were not associated with FI. Novel stool metabolite signatures were identified, suggesting new biological pathways and potential therapeutic targets for FI.

e13661 Background: The process of data abstraction and curation represents a significant proportion of clinical trial costs, requiring up to $30,000 per patient depending on the data complexity. Research variables such as stage, performance status (PS), and cancer disease status are typically present in the electronic health record (EHR) in free text but require abstraction for research use. Structuring these real-world data (RWD) in an exportable format utilizing minimum common oncology data elements (mCODE) could reduce the need for abstraction and the potential for erroneous transcription that has been shown to be 5.51-7.72% in a meta-analysis. We assessed the feasibility, availability, and accuracy of RWD for use across Alliance for Clinical Trials in Oncology sites by comparing RWD to matched electronic case report form data (CRF data) at 2 sites where EHR-integrated tools collect structured RWD for all solid tumor patients. Methods: Stage, PS, and cancer disease status (CDS) were extracted from the EHR as RWD and from eCRFs for 100 patients enrolled in National Clinical Trials Network trials across multiple disease sites from 2022 through 2025. Data from baseline and day 1 of cycles 1-4 were compared (500 encounter timepoints). Results: Stage, PS, and CDS were available from RWD more often than CRFs (85 vs 70 / 100 patients, 436 vs 416 / 500 encounters, and 345 vs 83 / 500 encounters respectively). When stage was present in both (n = 58), there were 5 mismatches (8.6%). PS had 22 mismatches (4%) and CDS had 45 mismatches (11.4%). After correcting for differences in CRF vs RWD definitions, CDS mismatches dropped to 1.2% (n = 4). Discordance between RWD and CRF data was related to differences in the timepoint of data collection (e.g., systemic staging scans completed after the initial consult), CRF data obtained from other EHR notes (e.g., oncology research nurse notes containing PS), inherent discordance between RWD and CRF data choices (e.g., responding vs complete or partial response), and failure to update EHR data capture tool fields. RWD were available 21 days (median) before CRF data. Conclusions: Our results suggest that RWD captured directly within clinical notes match CRF data, are more often present, and are available sooner. RWD could serve as a data source for trials, decreasing the need for manual curation and cost. Although some discordance exists, overall rates are low and close to the published error rate for abstraction.

Abstract Introduction Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy through enhancing T-cell-mediated immune responses but have also been associated with immune-related adverse events. Emerging literature suggests a potential association between ICI therapy and the development or reactivation of tuberculous mycobacterial infections. It is unclear whether ICI therapy is also linked to an increased risk of non-tuberculous mycobacterial (NTM) infections, though case reports are rapidly accumulating. We aim to better elucidate the potential association between ICIs and NTM infections through a case series. Case Series This series includes patients at Mayo Clinic who were diagnosed with active NTM infection during or after ICI use from January 1, 2012 to December 31, 2024. Data including demographics, malignancy details, ICI regimen and duration, timing and site of NTM infection, microbiologic findings, antimycobacterial therapy, and clinical outcomes were evaluated. There were seven patients with positive testing for NTM during or after ICI therapy. Two had one colony of M. gordonae on cultures which were determined by Infectious Disease to be contaminants. One case had a reported culture positive for M. franklinii at an outside hospital without further details available and thus was excluded from analysis. Chart review was performed for the remaining four patients with active NTM infection during or after ICI therapy. Two of the patients had underlying chronic obstructive pulmonary disease with a smoking history; these same two had primary lung malignancy. The other two patients had no known underlying lung disease or malignancy lung involvement (primary or metastatic). ICI therapies included PD-1, PD-L1, and CTLA-4 inhibitors. All four NTM infections predominant had lung involvement and were all different species; two were diagnosed while the patient was actively receiving ICI therapy and two were diagnosed several months after ICI discontinuation. Of the two receiving ICI therapy at the time of diagnosis, the ICI was held for 101 days for one patient and the other continued the ICI without interruption. Three received multi-agent therapy while the fourth declined treatment and died of malignancy complications soon after. The other three were alive at one year after NTM diagnosis and completed approximately one year of antimycobacterial therapy. Conclusions Tuberculous and non-tuberculous mycobacterial infections are increasingly seen after immune checkpoint inhibitor therapy. We present a series of four cases of NTM infections after or during ICI therapy for various types of malignancy with good outcomes after approximately one year of treatment. This abstract is funded by: None