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ABSTRACTBackgroundCommercial biomarkers and multiparametric MRI (mpMRI) have been utilized to triage men with elevated prostate specific antigen (PSA) and determine patients most likely to harbor clinically‐significant prostate cancer (csPCa). We studied combinations of mpMRI, PSA‐based and novel extracellular vesicle (EV)‐based biomarkers to determine the optimal pre‐biopsy testing to predict csPCa at biopsy.MethodsMen presenting with elevated PSA (≥ 2 ng/mL) were prospectively enrolled and all men underwent clinically indicated mpMRI and blinded study blood draws to determine PSA, prostate health index (PHI) scoring, and EV serum levels. MRI‐fusion transperineal prostate biopsy was performed in all patients. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated, and receiver operator characteristic (ROC) curves were constructed. Bootstrapping analysis was performed to provide more accurate assessment of predictive abilities.ResultsUltimately, 175 consecutive men were prospectively enrolled. Median age in the study population was 65 years. Combinations of biomarkers and MRI demonstrated better predictive ability for csPCa on biopsy than individual modalities. Predictive ability was greatest for PHI density (PHID)‐mpMRI with an AUC of 0.86 (95% CI: 0.80–0.92) while combinations of PSA density ‐mpMRI (AUC: 0.81; 95% CI: 0.73–0.89) and STEAP1‐mpMRI (AUC: 0.77; 95% CI: 0.70–0.86) demonstrated similar ability to predict csPCa. The study is limited by small, predominantly white patient cohort and requires external validation.ConclusionsInclusion of prostate density with biomarkers increases prognostic ability for detecting csPCa. EV density can refine prediction of csPCa and in combination with PHID‐mpMRI leads to superior specificity, thereby decreasing unnecessary biopsies.

831 Background: Long non-coding RNA (lncRNA)-based genomic profiling has suggested utility to identify a distinct tumor subgroup corresponding to a favorable prognosis in patients with bladder cancer. Here, we further evaluate a genomic classifier in a cohort of patients undergoing radical cystectomy (RC). Methods: Transcriptome-wide expression profiling using Decipher Bladder was performed on TURBT samples from a cohort of patients with high grade, clinically organ confined (cTa-T2N0M0) UC who subsequently underwent RC without any neoadjuvant therapy (n=226). LncRNA-based luminal favorable status was determined using a previously developed genomic classifier. The primary endpoint was overall survival (OS) following surgery. Secondary endpoints included cancer-specific mortality and upstaging at RC. Results: In the study, 134 patients were clinical NMIBC (cTa/Tis/T1) and 92 patients were cT2. We identified 60 patients with luminal favorable subtype, all of which showed robust gene expression patterns associated with less aggressive bladder cancer biology. On MVA, patients with the luminal favorable subtype (vs. without) were significantly associated with lower odds of upstaging to pT3+ disease (OR [95% CI] 0.32 [0.12-0.82], p = 0.02), any upstaging (OR [95% CI] 0.41 [0.20-0.83], p = 0.01), and any upstaging and/or pN+ (OR [95% CI] 0.50 [0.25-1.00], p = 0.05). Luminal favorable bladder cancer was significantly associated with better OS (HR 0.33 [95% CI 0.15-0.74], p=0.007). Conclusions: This study validates the performance of the genomic classifier for identifying urothelial carcinomas with a luminal favorable subtype, harboring less aggressive tumor biology.

AbstractWhile pediatric epilepsy shares some features with adult epilepsy, the growing and developing brain during childhood is associated with differences in epilepsy etiologies, syndromes, comorbidities, management, and outcomes. We must also consider the long-term effects of epilepsy and treatments. This section highlights unique considerations for pediatric epilepsy. These include pediatric onset electroclinical syndromes that commonly resolve prior to adulthood, treatment duration of self-limited pediatric epilepsy syndromes, pediatric-onset epilepsy with etiology-specific treatment, and therapies used more commonly in the pediatric population. In addition, pediatric-onset epilepsy is associated with a higher risk for developmental, psychiatric, and behavioral comorbidities in a bidirectional fashion. Family dynamics are affected by a child with epilepsy, and transitioning to the adult clinic is a particular challenge for this population. Finally, there are special issues that occur in pediatric epilepsy, including the lack of pediatric FDA approvals for newly available therapies and the need for sedation for investigations.

ImportanceDetermining spectacle-corrected visual acuity (VA) is essential when managing many ophthalmic diseases. If artificial intelligence (AI) evaluations of macular images estimated this VA from a fundus image, AI might provide spectacle-corrected VA without technician costs, reduce visit time, or facilitate home monitoring of VA from fundus images obtained outside of the clinic.ObjectiveTo estimate spectacle-corrected VA measured on a standard eye chart among patients with diabetic macular edema (DME) in clinical practice settings using previously validated AI algorithms evaluating best-corrected VA from fundus photographs in eyes with DME.Design, Setting, and ParticipantsRetrospective cross-sectional evaluation of deidentified fundus photographs matched to spectacle-corrected VA determined by technicians on eye charts among patients with a history of DME based on optical coherence tomography and at least 2 visits within 1 to 6 months of each other at a university-based clinic between January 2014 and December 2022. Data were analyzed from January 2023 to October 2024.ExposurePreviously validated AI algorithm evaluation of fundus photographs.Main Outcomes and MeasuresAI-determined VA mean absolute error (MAE) compared with actual spectacle-corrected VA.ResultsAmong 141 patients, the mean (SD) age was 63 (13) years, 71 (50%) were male, 2 (1%) were Asian, 42 (30%) were Black or African American, and 88 (63%) were White. Among 282 eyes at visit 1, 66 had nonproliferative diabetic retinopathy (NPDR) and DME, 38 had proliferative diabetic retinopathy (PDR) and DME, 101 had NPDR and no DME, and 77 had PDR and no DME. Among 564 images (282 eyes) at both initial and follow-up visits, MAE (SD) among eyes with NPDR, with or without center-involved DME (CI-DME), was 1.16 (1.00) lines on the eye chart for VA between 20/10 and 20/20 (67 images), and 1.44 (1.15) lines for between VA 20/25 and 20/80 (231 images). MAE (SD) among eyes with PDR, with or without CI-DME, was 1.92 (1.08) lines for VA between 20/10 and 20/20 (50 images), and 1.42 (0.97) lines for spectacle-corrected VA between 20/25 and 20/80 (150 images). Only 65 images had VA 20/100 or worse, precluding meaningful analyses.Conclusions and RelevanceIn this cross-sectional study, AI evaluation of fundus photographs among patients with DME and VA 20/80 or better estimated spectacle-corrected VA within approximately 1 to 1.5 lines of actual spectacle-corrected VA. These results support use of AI evaluation of fundus photographs to determine spectacle-corrected VA among patients with DME globally, beyond ophthalmology offices.

Abstract INTRODUCTION Diffusion‐weighted magnetic resonance imaging (dMRI) is sensitive to the microstructural properties of brain tissues and shows great promise in detecting the effects of degenerative diseases. However, many approaches analyze single measures averaged over regions of interest without considering the underlying fiber geometry. METHODS We propose a novel macrostructure‐informed normative tractometry (MINT) framework to investigate how white matter (WM) microstructure and macrostructure are jointly altered in mild cognitive impairment (MCI) and dementia. We compared MINT‐derived metrics with univariate diffusion tensor imaging (DTI) metrics to examine how fiber geometry may impact the interpretation of microstructure. RESULTS In two multisite cohorts from North America and India, we find consistent patterns of microstructural and macrostructural anomalies implicated in MCI and dementia; we also rank diffusion metrics' sensitivity to dementia. DISCUSSION We show that MINT, by jointly modeling tract shape and microstructure, has the potential to disentangle and better interpret the effects of degenerative disease on the brain's neural pathways. Highlights Changes in diffusion tensor imaging metrics may be due to macroscopic changes. Normative models encode normal variability of diffusion metrics in healthy controls. Variational autoencoder applied on tractography can learn patterns of fiber geometry. WM microstructure and macrostructure are modeled with multivariate methods. Transfer learning uses pretraining and fine‐tuning for increased efficiency.

Introduction: The Mindfulness-Based Stress Reduction program for breast cancer survivors (MBSR [BCs]) is a stress-reducing program designed to increase cognitive functioning through four meditational practices. This randomized clinical trial aimed to determine if improvements in cognitive functioning and perceived cognitive abilities achieved from the MBSR(BC) were mediated through increased mindfulness, decreased rumination, and decreased perceived stress. Methods: Breast cancer survivors (BCSs) who met inclusion criteria of stage I, II, or III BC and received either chemotherapy (CT) or both CT and radiation were randomized to either the 6-week MBSR(BC), or Breast Cancer Education Support (BCES) program, or to a usual care (UC) regimen. Analysis of covariance was first implemented to identify potential mediators, followed by a formal mediational analysis to evaluate the effects of MBSR(BC) on 6-, 12-, and 26-week outcomes. Results: After consent, 212 BCS were randomized to MBSR(BC) ( n = 91), BCES ( n = 90), or UC ( n = 31). The mean age was 56.5 and the majority of the BCS, 73.1%, were White and non-Hispanic. Results showed increases in “observing” as part of mindfulness as a potential mediator of MBSR(BC) effects on impairments on quality of life and logical memory at 6 months relative to UC. No mediation effects were identified for outcomes measured at 6 or 12 weeks and also when MBSR(BC) was compared with the BCES program. Discussion: These results partially supported our hypothesis that improvement in cognitive functioning would occur through increased mindfulness. Although few mediating relationships were identified, results showed a relationship between mindfulness and cognitive functioning. Both mediating relationships occurred through increases in “observing,” a subconcept of “mindfulness,” when compared to the MBSR(BC) with UC at 6 months. This study shows that mediators may help “optimize” clinical therapeutic treatment effects, thus contributing to the advancement of science. Trial Registration: ClinicalTrials.gov, www.ClinicalTrials.gov . Registration Number: NCT02786797.

Introduction: Telomere biology disorders (TBD) are multisystemic accelerated aging syndromes due to abnormal telomere length (TL) shortening and increased cancer risk. Pediatric-onset TBD is characterized by severely shortened TL and specific associations with germline pathogenic variants mainly in DKC1, TINF2, PARN genes and characteristic clinical features [bone marrow failure (BMF), abnormal nail/skin/oral mucosa]. Adult-onset TBD is genetically distinct (predominantly, TERT, TERC, and RTEL1 mutations) with varied organ involvement [interstitial lung disease (ILD), BMF, cirrhosis, or bone disease] and heterogenous outcomes. In our previous study of predominantly adult patients with short telomeres, multiple organ involvement (Mangaonkar A et al. Blood Cancer J 2021) predicted poor overall survival (OS). We sought to validate these findings in a larger, well annotated adult cohort of TBD patients. Methods: Patients with suspected TBD underwent comprehensive clinical and molecular evaluation through our TBD-dedicated clinic after regulatory approval. TL was assessed through clinical flow cytometry fluorescence in-situ hybridization (FlowFISH).Clinical and laboratory features, including pulmonary imaging, lung volumes/function testing, hepatic imaging (MR elastography/fibroscan) and bone density assessments were retrospectively abstracted. Germline and somatic genetic testing was performed on peripheral blood through targeted panels for known TBD and myeloid genes respectively. Cox proportional hazard model was used to identify significant variables that also retained independent prognostic impact. Results: Overall, 122 patients met criteria for TBD as defined by lymphocyte TL (LTL) <=10th percentile and/or a presence of a germline-TBD variant; 34 patients LTL <1st percentile, 84 1st and the 10th percentile (27 with TBD-germline variants) and 4 with only TBD-germline variants. Median age at diagnosis was 56 (18-77) years, with 72 (59%) males. Clinical features included presence of ILD (n=81, 66%), BMF (n=39, 32%), cirrhosis/hepatic fibrosis (n=19, 38%), bone disease osteopenia/osteoporosis/fractures, n=53, 70%), MDS/AML (n=11, 9%), non-hematological cancer (n=38, 31%), and head and neck cancer (n=2). Germline pathogenic variants were detected in 22 (18%), most frequently in TERT (n=10), RTEL1 (n=7) and TERC (n=2), while variants of uncertain significance (VUS) were seen in 35 (29%) patients, especially in TERT (n=20), TERC/RTEL1(n=6), NAF1 (n=4). Somatic variants in hematopoietic cells were detected in 37 (30%) patients with frequent alterations seen in DNA damage response and repair (PPM1D/TP53, n=11), and splicing component (U2AF1/SF3B1/ZRSR2, n=9) genes. At last follow-up [median of 3 (0-18) years], there were 26 (21%) deaths (most commonly, progressive ILD-18, cancer of lung/breast/pancreas-3, transplant-related complications-2). After censoring patients at the time of any transplantation (lung transplant-26, liver transplant-5, bone marrow transplant-8), the Kaplan-Meier estimate of median OS was not reached. Univariate survival analysis found adverse OS predicted by older age at diagnosis (P=0.006), presence of ILD (P=0.0002), hepatic fibrosis/cirrhosis (P=0.02), and somatic DNA repair variants (P=0.03). Multivariate model analysis found that only presence of ILD retained independent prognostic impact (HR=2, P=0.02). Among radiographic ILD subtypes, UIP was the most common (51%), followed by NSIP (10%), and others (6%), with median FEV1 of 2L (range: 0.5-4.6), FVC 2.4L (0.7-6.2), and TLC 4L (1.9-7.4). TBD-ILD patients were older (P<0.0001) with a male preponderance (P=0.03), 52 (64%) with multi-organ involvement, and had a less severe hematological phenotype [lower incidence of BMF (P<0.0001) and fetal hemoglobin elevation (P=0.01)], more frequent bone disease (P=0.0009), relatively longer telomeres in lymphocytes (P=0.04), and no particular association with any germline or somatic genetic alterations. Conclusions: Presence of ILD is an independent and significant predictor of adverse survival in adult TBD. Within adult TBD, patients with ILD represent a unique clinical subtype without any obvious genetic or pathologic correlates. Focusing on definitive therapeutic measures in this subgroup of adult TBD has the best chance to alter natural history and improve outcomes.

Objective To further evaluate a genomic classifier (GC) in a cohort of patients undergoing radical cystectomy (RC), as long non‐coding RNA (lncRNA)‐based genomic profiling has suggested utility in identifying a distinct tumour subgroup corresponding to a favourable prognosis in patients with bladder cancer. Patients and Methods Transcriptome‐wide expression profiling using Decipher Bladder was performed on transurethral resection of bladder tumour samples from a cohort of patients with high‐grade, clinically organ‐confined (cTa–T2N0M0) urothelial carcinoma (UC) who subsequently underwent RC without any neoadjuvant therapy ( n = 226). The lncRNA‐based luminal favourable status was determined using a previously developed GC. The primary endpoint was overall survival (OS) after RC. Secondary endpoints included cancer‐specific mortality and upstaging at RC. Results In the study, 134 patients were clinical non‐muscle‐invasive bladder cancer (cTa/Tis/T1) and 92 patients were cT2. We identified 60 patients with luminal favourable subtype, all of which showed robust gene expression patterns associated with less aggressive bladder cancer biology. On multivariate analysis, patients with the luminal favourable subtype (vs without) were significantly associated with lower odds of upstaging to pathological (p)T3+ disease (odds ratio [OR] 0.32, 95% confidence interval [CI] 0.12–0.82; P = 0.02), any upstaging (OR 0.41, 95% CI 0.20–0.83; P = 0.01), and any upstaging and/or pN+ (OR 0.50, 95% CI 0.25–1.00; P = 0.05). Luminal favourable bladder cancer was significantly associated with better OS (hazard ratio 0.33, 95% CI 0.15–0.74; P = 0.007). Conclusions This study validates the performance of the GC for identifying UCs with a luminal favourable subtype, harbouring less aggressive tumour biology.