Citations

Abstract Background Despite advances in clinical microbiology, the diagnosis of invasive fungal infections remains challenging. Giant magnetoresistance (GMR) is a novel technology that enables the detection of trace amounts of cell-free DNA (cfDNA). We evaluated a high-multiplex molecular diagnostic assay coupled with GMR-enabled lab-on-a-chip technology that can detect 18 different fungal species. Methods Analytical performance was evaluated in spiked plasma samples. After amplification, cfDNA was digested. Residual single-stranded DNA was flowed over a GMR sensor that was surface-coated with probes specific to different fungal species. After hybridization, magnetic beads bound to the probe complexes produced a GMR signal that was detected by the sensors. Clinical performance was determined using residual serum samples collected before the initiation of antifungal treatment from 20 patients with infection. Results The limit of detection of the assay ranged from 5 to 50 copies per polymerase chain reaction (PCR) reaction. Nonspecific signals were not observed in the spiked samples. Fungal cfDNA was detected in 80% of patients with invasive candidiasis (3/4 with candidemia, 5/6 with invasive candidiasis without candidemia), all 3 cases of invasive pulmonary aspergillosis, and all 3 cases of disseminated histoplasmosis. cfDNA was not detected in 2 patients with cryptococcosis (both had negative blood cultures) and 2 patients with Pneumocystis pneumonia. Conclusions We developed a novel GMR-enabled multiplex PCR assay detecting fungal pathogens that have been prioritized for public health action. Clinical sensitivity was highest in cases of presumed angioinvasion and dissemination. This technology has the potential for use in the clinical microbiology laboratory setting.

ABSTRACTSeveral dynamic models predict mortality and corticosteroid response in alcohol‐associated hepatitis (AH), yet no consensus exists on the most effective model. This study aimed to assess predictive models for corticosteroid response and short‐term mortality in severe AH within a global cohort. We conducted a multi‐national study of patients with severe AH treated with corticosteroids for at least 7 days, enrolled between 2009 and 2019. Dynamic models—Lille‐4, Lille‐7, trajectory of serum bilirubin (TSB), and neutrophil‐to‐lymphocyte ratio (NLR)—were used to estimate 30‐ and 90‐day mortality. Lille‐7 demonstrated the highest accuracy for both 30‐ and 90‐day mortality.

16 Background: In PSMAfore (NCT04689828), [ 177 Lu]Lu-PSMA-617 ( 177 Lu-PSMA-617) prolonged rPFS versus androgen receptor pathway inhibitor (ARPI) change in taxane-naive adults with PSMA-positive metastatic castration-resistant prostate cancer (mCRPC) progressing once on an ARPI. Baseline circulating tumor DNA (ctDNA) fraction was associated with rPFS at the second interim analysis (IA) of OS (ASCO 24). Here, we assessed the association of baseline and cycle 2 day 1 (C2D1) ctDNA fraction, and early ctDNA and prostate-specific antigen (PSA) dynamics, with rPFS and OS at the third IA of OS. Methods: Patients were randomized 1:1 to 177 Lu-PSMA-617 (7.4 GBq Q6W; x6) or ARPI change. Endpoints included rPFS (primary) and OS (key secondary). Plasma ctDNA fraction was analyzed at baseline and at C2D1 using an in-house custom panel. Cox regression (adjusted for 3 risk classes based on clustering of 17 baseline clinical features) and random forest (adjusted for 15 baseline clinical features) modeling were used to assess the association of ctDNA fraction and PSA with clinical outcomes at the Feb-27-2024 data cutoff. Results: Patients with plasma samples at baseline and C2D1 were included ( 177 Lu-PSMA-617, n/N = 82/234; ARPI change, n/N = 91/234). Cox regression models adjusted for clinical features in the 177 Lu-PSMA-617 arm showed that higher ctDNA fraction was associated with shorter rPFS and OS (Table). These associations were stronger for C2D1 than baseline, both when comparing individual models and within a model including both timepoints (Table). In random forest models including clinical features and C2D1 ctDNA fraction, the total area under curves were not improved by addition of baseline ctDNA fraction (rPFS, 0.87; OS, 0.86). In the overall population, fractional decreases from baseline to C2D1 in ctDNA ( p = 0.0015) and PSA ( p < 0.0001) were strongly associated with longer rPFS, and were weakly correlated with one another (correlation coefficient, 0.26). In the 177 Lu-PSMA-617 arm, fractional decrease in ctDNA ( p = 0.002) was more strongly correlated with OS than was decrease in PSA ( p = 0.12). Conclusions: This exploratory analysis suggested that C2D1 ctDNA fraction was more strongly associated than baseline ctDNA fraction with rPFS and OS. Early ctDNA fraction dynamics contributed additional information in the prediction of rPFS and OS beyond PSA dynamics alone. Clinical trial information: NCT04689828 . Cox regression models. a rPFS OS Baseline model, HR (95% CI); p 6.0 (1.6–23.0); 0.0095 12.0 (3.0–48.7); 0.00052 C-index ± SE 0.69 ± 0.04 0.75 ± 0.04 C2D1 model, HR (95% CI); p 47.7 (10.1–226.0); < 0.0001 82.7 (16.4–417.0); < 0.0001 C-index ± SE 0.72 ± 0.03 0.77 ± 0.03 Baseline + C2D1 model Baseline, HR (95% CI); p 3.1 (0.7–14.0); 0.14 2.1 (0.4–12.7); 0.41 C2D1, HR (95% CI); p 35.9 (7.2–180.0); < 0.0001 52.5 (7.6–362.0); < 0.0001 C-index ± SE 0.72 ± 0.03 0.79 ± 0.03 a HRs correspond to 1 unit change in ctDNA fraction.

61 Background: 177 Lu-PSMA-617 was approved in March 2022 for patients with mCRPC pretreated with an androgen receptor pathway inhibitor (ARPI) and a taxane. There are limited data on the effectiveness of treatments post- 177 Lu-PSMA-617. The aim of this study was to describe prostate-specific antigen (PSA) responses among patients with mCRPC receiving a guideline-recommended therapy as the next therapy after 177 Lu-PSMA-617 treatment. Methods: This retrospective, observational study used real-world data from the PRECISION data platform, a proprietary dataset developed by Novartis, comprised of patient-level electronic health record and claims data that represent the US advanced prostate cancer population in the community, academic, urology, and medical oncology settings. Patients with mCRPC who received any guideline-recommended therapy at least 14 days after treatment with 177 Lu-PSMA-617 between March 23, 2022 and July 31, 2024 were included. Guideline-recommended therapies included abiraterone, enzalutamide, darolutamide, apalutamide, cabazitaxel, docetaxel, pembrolizumab, sipuleucel-T, niraparib, olaparib, talazoparib, rucaparib, and radium-223. Patients’ PSA values while on 177 Lu-PSMA-617 treatment were compared with their PSA values during the subsequent therapy course. Proportions of patients achieving reductions in PSA levels ≥50% (PSA50) and ≥80% (PSA80) were estimated. All analyses were descriptive. Results: A total of 152 patients receiving any subsequent guideline-recommended therapy after 177 Lu-PSMA-617 were identified. Mean age was 72.1 years. Most patients received an ARPI (n=93, 61.2%) – abiraterone (n=38), enzalutamide (n=37), darolutamide (n=10), or apalutamide (n=8) – as their subsequent therapy. Of patients who received a taxane (n=42, 27.6%), 24 received cabazitaxel and 18 received docetaxel. Median time to initiation of subsequent therapy was 206 days (interquartile range [IQR] 101–301 days) from 177 Lu-PSMA-617 initiation and 44 days (IQR 17–119 days) from 177 Lu-PSMA-617 discontinuation. Overall, among patients with sufficient information for PSA evaluation (n=30), 46.7% achieved PSA50 and 40.0% PSA80 post- 177 Lu-PSMA-617. Among patients receiving an ARPI, PSA50 was observed in 11/18 (61.1%) and PSA80 in 10/18 (55.6%). Among patients receiving a taxane, PSA50 and PSA80 were seen in 3/12 (25.0%) and 2/12 (16.7%), respectively. Conclusions: In this real-world analysis, the majority of patients who received guideline-recommended therapies after 177 Lu-PSMA-617 achieved at least a PSA50 response, suggesting that 177 Lu-PSMA-617 treatment does not preclude response to other subsequent therapies.

59 Background: There are several real-world data sources for prostate cancer (PC), each with its own limitations; the most notable limitation is an incomplete picture of the multidisciplinary clinical management of PC. The PRECISION data platform, the largest, most comprehensive, and continually updated real-world evidence source on patients with advanced PC to date, tries to address this limitation and shed light on PC management in both urology and oncology practices in both academic and community settings in the US. The platform includes a wide variety of PC-specific data variables among patients with metastatic hormone-sensitive PC (mHSPC) and metastatic castration-resistant PC (mCRPC) treated across the US. This study aims to provide an overview of the characteristics, treatment patterns, and clinical outcomes among patients with mHSPC and mCRPC included in PRECISION to date. Methods: A retrospective cohort study that included patients with a diagnosis of mHSPC or mCRPC (index date) in PRECISION between 2018 and 2024 (cohorts could overlap). For each cohort, patient characteristics and treatment patterns were evaluated descriptively. Results: The PRECISION platform currently includes 72,855 and 33,538 patients with mHSPC and mCRPC, respectively. Among the mHSPC cohort, the mean ± standard deviation (SD) age was 74.5±9.4 years; 67% and 33% were treated at oncology and urology centers, respectively; 40% and 60% were from academic and community settings, respectively. The average ± SD time from mHSPC to mCRPC was 11.2±11.7 months. Overall, 77.6% of patients were treated with androgen-deprivation therapy (ADT), of whom 64.7% had ADT combined with androgen receptor pathway inhibitors (ARPIs) including abiraterone acetate, enzalutamide, and apalutamide. Among the mCRPC cohort, the mean ± SD age was 74.1±9.3 years; similar treatment setting patterns as mHSPC were observed. Overall, 74.6% initiated a first-line (1L) therapy on/after mCRPC diagnosis; 52.1% had 1L ARPIs, 16.2% 1L immunotherapy, and 4.6% 1L taxane chemotherapy. In addition, 2.2% of patients received the recently US FDA-approved therapy, lutetium-177 vipivotide tetraxetan, at some point during their mCRPC disease duration. Conclusions: This analysis provides key insights into the patients included in the PRECISION data platform. This multidisciplinary dataset provides a 70/30 split between oncology and urology centers, and a 40/60 split between academic and community settings. The observed clinical profile, treatment patterns, and outcomes comprise the most comprehensive representation of current treatment practice in the US. Future analyses of clinical outcomes with existing and novel therapies could contribute significantly to our understanding of opportunities to improve the treatment of patients with mHSPC and mCRPC in the US.

56 Background: The broad therapeutic arsenal for mCRPC, with overlapping indications, makes selecting the optimal treatment sequence challenging in clinical practice. The aim of this study was to evaluate the prostate-specific antigen (PSA) responses and overall survival (OS) among patients with mCRPC receiving 177 Lu-PSMA-617 based on prior ARPI and taxane treatment exposure. Methods: This retrospective, observational study used real-world data from the PRECISION data platform, a harmonized dataset of advanced prostate cancer patients in the US from diverse clinical settings. Patients with mCRPC who had received ≥1 dose of 177 Lu-PSMA-617 between March 23, 2022 and July 31, 2024, after prior treatment with ≥1 ARPI and ≥1 taxane, were included. To assess PSA response, the baseline PSA value obtained within 90 days before starting 177 Lu-PSMA-617 was compared with the on-treatment PSA value obtained ≥28 days after 177 Lu-PSMA-617 initiation. The number of patients achieving PSA reductions ≥50% (PSA50) and ≥80% (PSA80) were estimated, with patients classified into two cohorts based on prior ARPI and taxane exposure: (1) prompt cohort: after only 1 ARPI and 1 taxane, and (2) deferred cohort: >1 ARPI and/or >1 taxane. Patient characteristics and treatment patterns were evaluated descriptively. OS from 177 Lu-PSMA-617 initiation was estimated using Kaplan–Meier methodology. Results: A total of 431 patients were included: 177 patients in the prompt cohort and 254 patients in the deferred cohort. Of patients in the deferred cohort, 185 (72.8%) received ≥1 ARPI and 1 taxane, 32 (12.6%) received 1 ARPI and ≥1 taxane, and 37 (14.6%) received ≥1 ARPI and ≥1 taxane. Median (interquartile range age was 73 (67–78) years and most demographic characteristics were balanced between groups. Patients in the deferred cohort had higher median PSA levels at baseline (63.1 ng/mL vs 25.2 ng/mL). PSA50 was observed in 18/33 (55%) patients in the prompt cohort vs 28/66 (42%) in the deferred cohort. PSA80 was observed in 13/33 (39%) patients in the prompt cohort vs 21/66 (31%) in the deferred cohort. Across both cohorts, median OS was 18.0 months (95% confidence interval [CI]: 15.1 months–not reached [NR]). Median OS was NR in patients in the prompt cohort vs 15.1 months in patients in the deferred cohort (95% CI: 11.6 months–NR). Conclusions: In this large real-world study, prompt initiation of 177 Lu-PSMA-617 (after only 1 ARPI and 1 taxane) showed superior clinical outcomes versus deferred initiation of 177 Lu-PSMA-617. Patients were more likely to achieve a PSA reduction ≥50% and ≥80% and had longer OS with prompt initiation of 177 Lu-PSMA-617. These results may help to guide treatment sequencing in clinical practice.

425 Background: Prostate cancer (PC) ranks among the most prevalent cancers in men, with incidence rising due to factors like aging populations and enhanced screening techniques. Effective data extraction from clinical records is crucial for advancing research and improving patient care; however, traditional manual methods can be time-consuming and susceptible to mistakes. This study seeks to evaluate RadOnc-GPT against human annotation for extracting essential clinical information from prostate cancer clinical records. Methods: RadOnc-GPT is a retrieval augmented generation (RAG)-based chatbot with access to a variety of patient data including treatment details, radiology reports, and clinical notes. RadOnc-GPT uses Open AI’s gpt-4o model. Patients who received curative intent radiotherapy as initial treatment for PC in our institution between 2014 and 2023 were randomly selected for evaluation. Relevant Clinical factors were extracted by a human expert annotator on our on-site RedCap database. The extraction of the same variables was performed using RadOnc-GPT. A comparison between the ground truth (human annotation) and RadOnc-GPT, to evaluate the performance of the AI system, was carried out including accuracy, recall and F1 score. Results: A total of 382 PC patients were included in the cohort for data extraction. The clinical variables extracted were the treatment intent, NCCN risk category, T and N stage, Gleason score, radiation volume, and Androgen Deprivation therapy (ADT) use. The overall performance of RadOnc-GPT was excellent, with the highest accuracy achieved for treatment intent (99.7%), Gleason score (98.4%), and Treatment Volume (90.1-99.5%). Conclusions: RadOnc-GPT performed excellent at extracting relevant clinical details from the electronic medical record and radiation oncology information systems with dramatic reduction in time and cost compared with manual review. LLMs could be highly useful for large-scale data extraction in PC research, offering a promising solution for automating the accurate data extraction process. Correct (n) Total (n) Accuracy Recall F1 score RT with curative intent 381 382 99.7 99.9 99.9 Prostate Cancer Risk Category 345 382 90.3 90.4 95.1 Primary tumor staging (T) at diagnosis 368 382 96.3 96.3 97.9 Regional nodal status (N) at diagnosis 352 382 92.1 92.2 95.9 Gleason Score Primary Secondary Total 376372376 382382382 98.497.498.4 98.597.498.5 99.298.799.2 Treated Areas Prostate Pelvic Nodes Para-Aortic Nodes Distant Site 380344378372 382382382382 99.590.19997.4 99.490.199.197.4 99.79599.598.7 ADT Use with RT 365 382 95.5 95.7 97.8

Using 32 immune cell surface markers, we identified 23 monocyte clusters in murine blood. Diabetic gastroparesis was associated with a significant decrease in two circulating classical monocyte-like clusters and an upregulation of the Ccr2-Ccl2 axis in the gastric muscularis propria, suggesting increased tissue monocyte migration. This study offers new targets by pointing to a possible role for two classical monocyte subsets connected to the Ccr2- Ccl2 axis.