Citations

ABSTRACT Management of prostate cancer has improved over the past two decades, driven by innovations in detection of metastatic disease, biomarker characterization, and treatment. This review summarizes the latest progress in managing advanced states of this disease, spanning high risk biochemical recurrence, metastatic hormone sensitive prostate cancer (mHSPC), and metastatic castration resistant prostate cancer (mCRPC). Improved outcomes for patients have been seen with earlier use of androgen receptor pathway inhibitors in the setting of high risk biochemical recurrence and mHSPC. Meanwhile, individuals with mCRPC now represent a more diverse population, differentiated by both their previous treatments and other biological features. Advanced imaging and genomic biomarkers improve patient selection and permit more personalized therapy. Landmark clinical trials and meta-analyses have established and/or refined the role of chemotherapy, poly-ADP ribose polymerase (PARP) inhibitors, and 177 Lu-PSMA-617 in this disease space. Finally, as patients with prostate cancer are living longer, the review focuses on understanding and managing potential adverse events, including cardiac and hematologic toxicity and bone health.

Black race and Hispanic ethnicity are associated with higher mortality in severe combined immunodeficiency (SCID) following hematopoietic cell transplantation (HCT), though mechanisms remain unclear. We evaluated 796 children with SCID who received nonsibling HCT between 1982 and 2020 using data from the Primary Immune Deficiency Treatment Consortium. Overall survival for Black (aHR 2.47, 95%CI 1.64, 3.71) and Asian/Pacific Islander patients (aHR 1.82, 95%CI 1.00, 3.30) was significantly lower compared with non-Hispanic White patients, while Hispanic patients had lower event-free survival (aHR 1.83, 95%CI 1.27, 2.63) compared with non-Hispanic White patients. Even after adjusting for age and infection, Black patients with SCID had more than twofold hazard of death compared with non-Hispanic White patients. NBS was associated with earlier diagnosis, reduced infection at HCT, and elimination of survival disparities between Black and non-Hispanic White patients. These findings suggest that universal, system-level interventions such as NBS can mitigate disparities in outcomes for children with SCID.

ABSTRACT Collection of hematopoietic progenitor cells and mononuclear cells by leukocytapheresis is a critical step of procuring cellular starting materials for future therapeutic use. Leukocytapheresis requires use of anticoagulant to prevent blood clotting in the extracorporeal circuit during collection. A commonly used anticoagulant is Acid Citrate Dextrose Solution A (ACD‐A). ACD‐A primarily prevents blood clotting by reversibly chelating free ionized calcium, which is essential for the clotting cascade. Electrolytes frequently affected by ACD‐A include calcium, magnesium, potassium, phosphate, and bicarbonate. Risks for development of electrolyte derangements include procedure‐related parameters as well as patient comorbidities. Symptoms range from mild paresthesias to life‐threatening cardiac arrhythmias. Recognition of related signs and symptoms is important for prompt intervention with procedure modification and electrolyte replacement to optimize patient safety. This paper will provide an enhanced understanding of the underlying pathophysiology and assist in timely identification and management of electrolyte abnormalities associated with cellular therapy collections.

Abstract Rationale Idiopathic Pulmonary Fibrosis (IPF) is characterized by chronic progressive pulmonary fibrosis and high mortality. Genetic markers, summarized into a polygenic risk score (PRS), associate with IPF in well-phenotyped research cohorts. Objectives To evaluate the performance of the PRS using real-world data from routinely captured electronic healthcare records. Methods We conducted an observational study evaluating the association of a PRS for IPF with electronic healthcare record diagnosis of IPF as well as lung transplant-free survival in four independent cohorts; the Mass General Brigham Biobank (MGBB), Mayo Clinic Biobank (MCBB), Mayo Clinic Tapestry Cohort (Tapestry), and U.K. Biobank (UKBB). We used multivariable logistic regression and multivariable Cox proportional hazards models adjusting for age, gender, and principal components of ancestry. The cohorts then underwent fixed and random effects meta-analysis. Measurements and Main Results Of 37,709; 44,195; 43,202; and 447,422 participants from MGBB, MCBB, Tapestry and UKBB respectively, 1,015 (2.7%) 2,879 (6.5%), 1,310 (3.0%), and 2,742 (0.6%) participants had an IPF diagnosis. Meta-analysis demonstrated a high-risk PRS associated with IPF diagnosis, OR 2.88 (95%CI 2.41-3.44) compared to all other individuals. A high-risk PRS also associated with the composite endpoint of mortality or lung transplant among those with an IPF diagnosis, HR 1.23(95%CI 1.11-1.35) compared to all other individuals. Conclusions A PRS can identify those at risk for an IPF diagnosis and mortality in biobank-scale data, which may have implications for clinical decisions. Further work is necessary to evaluate the utility of adding genetics in clinical settings.

Background: Smokers with multiple sclerosis (MS) experience worse disease, yet underlying mechanisms remain unknown. Smoking disrupts bile acid and tryptophan metabolism in non-MS populations; both pathways involve host–microbiome co-metabolism and have been linked to MS. Objective: Determine whether smoking perturbs these metabolic pathways in MS and whether such alterations statistically mediate smoking’s effect on MS severity. Methods: We analyzed serum bile acid, tryptophan, and tobacco-related metabolites across four independent MS cohorts ( N = 266) using discovery-replication analyses. Mixed-effects regression assessed replicating associations with current smoking and nicotine exposure. Mediation analyses tested if replicating metabolites were potential mediators between smoking and MS severity. Hypothesis-generating metagenomic analyses explored smoking-associated gut–microbial shifts and metabolite correlations. Results: Current smokers and nicotine-exposed MS subjects had reductions in bile acids and tryptophan metabolites, notably indolepropionate, a neuroprotective, anti-inflammatory gut–microbial metabolite. Lower indolepropionate statistically mediated ~20% of smoking’s adverse effect on MS severity. Metagenomic analyses identified potential smoking-enriched MS-linked taxa, and that indolepropionate broadly co-occurs with microbial networks (e.g. Lachnoclostridium appeared inversely associated with indolepropionate in smokers with MS). Conclusion: Tobacco exposure disrupts host–microbiome tryptophan and bile acid metabolism in persons with multiple sclerosis, with indolepropionate depletion partially mediating disease severity, highlighting a potential mechanistic pathway warranting further investigation in MS smokers.

ABSTRACT Background Most genomic studies of adult-type diffuse gliomas have focused on predominantly European ancestry populations, limiting the generalizability of molecular classifications and precision medicine approaches. We assembled a multi-institutional glioma cohort of diverse patients to investigate how germline ancestry, molecular subtypes, and mutational processes shape tumor biology and clinical outcomes. Methods We analyzed 1,102 adults with WHO 2021–classified diffuse gliomas (IDH-mutant, 1p/19q-codeleted oligodendroglioma; IDH-mutant astrocytoma; IDH-wildtype glioma) from seven U.S. institutions. Whole-exome sequencing (WES) of FFPE tumors identified somatic alterations and COSMIC SBS v3.2 mutational signatures. Genetic ancestry was estimated from WES using 1000 Genomes reference populations. Overall survival was assessed using Kaplan–Meier and multivariable models. Results The cohort included 66.9% European (EUR), 21.1% Admixed American/Hispanic (AMR), 10.3% Admixed African (AFR), and 1.6% Asian (AS) ancestry. Survival followed expected molecular hierarchy (median overall survival: oligodendroglioma 15.7 years, astrocytoma 10.6 years, IDH-wildtype glioma 1.9 years). Within oligodendroglioma, AMR patients showed improved survival versus EUR (HR 0.67, 95% CI 0.48–0.94; p=0.011), with similar trends across subtypes. Somatic profiling confirmed canonical subtype-defining alterations and revealed higher ATRX alterations in AFR and AMR IDH-wildtype tumors compared with EUR. ATRX alterations were associated with improved survival only in AFR (p=0.003). Mutational signature analysis identified subtype-specific signatures, including therapy-associated signatures. Chemotherapy-related signatures were more frequent in EUR and AMR than in AFR. Conclusions This ancestrally diverse glioma cohort confirms established molecular classifications and identifies ancestry-associated differences in survival, somatic alterations, and mutational processes, indicating the critical need for broad representation to inform precision neuro-oncology. Key Points A multi-institutional glioma cohort validates subtype and survival patterns across ancestries. Therapy-associated mutational signatures differ by ancestry, suggesting distinct treatment-related mutational processes. Admixed American patients show improved survival, particularly in oligodendroglioma. Importance of the Study Most genomic studies of adult-type diffuse glioma have focused on populations of predominantly European ancestry which limits the ability to examine variation in tumor biology and clinical outcomes across populations. In this study, we assembled one of the largest ancestrally diverse cohorts of molecularly characterized adult diffuse gliomas, integrating germline ancestry inference with tumor whole-exome sequencing and mutational signature analysis. We confirm that established molecular classifications and survival hierarchies remain robust across ancestry groups. However, we also identified ancestry-associated differences in survival within specific tumor subtypes, higher ATRX alteration frequencies in African American and admixed American patients with IDH-wildtype tumors, and variation in therapy-associated mutational signatures across ancestry groups. These findings highlight the importance of incorporating population differences into genomic studies of glioma and provide a resource for future multi-ancestry investigations of glioma risk, tumor evolution, and treatment response, ultimately supporting more inclusive precision neuro-oncology.

Abstract The Tau Global Conference 2025, hosted by the Alzheimer's Association, CurePSP, and the Rainwater Charitable Foundation, convened international experts from academia, industry, government, and philanthropy to explore advances and challenges in tauopathy research. The meeting highlighted progress across tau biology, including emerging models of tau regulation, degradation, and propagation; advances in biomarker development for the diagnosis and staging of tauopathies; and evolving therapeutic strategies targeting diverse aspects of tau pathophysiology. Discussions also emphasized the importance of cross‐sector collaboration, and global initiatives to address disparities in tau research. This report synthesizes key insights from the conference and underscores the critical role of interdisciplinary, biomarker‐driven, and globally inclusive approaches in accelerating the translation of tau research into effective clinical applications.

Purpose: To evaluate the diagnostic performance and limitations of a general-purpose multimodal large language model (GPT-5.4) in detecting early keratoconus (KC) using corneal tomography images. Methods: This retrospective study included 66 eyes: 15 with subclinical KC, 18 with forme fruste keratoconus (ffKC), and 33 normal controls. Control eyes were obtained from refractive surgery candidates with normal corneas. For each eye, a standardized four-map Pentacam tomography image was analyzed using GPT-5.4 (OpenAI) with a predefined prompt. Only images were provided, without clinical or demographic data. Diagnostic performance for detecting early KC was assessed using sensitivity, specificity, predictive values, accuracy, and receiver operating characteristic (ROC) analysis. Results: GPT-5.4 demonstrated low sensitivity (30.3%) and high specificity (100%) for detecting early KC, with an overall accuracy of 65.2% and an area under the ROC curve of 0.65. The model showed a strong tendency to classify eyes as normal, resulting in a high rate of false-negative classifications. Multiclass analysis revealed a stage-dependent performance pattern, with excellent classification of normal corneas (100%), moderate detection of subclinical KC (53.3%), and poor detection of ffKC (11.1%), with most ffKC cases misclassified as normal. Conclusions: GPT-5.4 demonstrates high specificity but limited sensitivity for detecting early KC using image-only input and is not a reliable diagnostic or screening tool in its current form.