Citations

Abstract Understanding tumor cell dynamics can improve prognosis and treatment but remains limited for lung adenocarcinoma in people who have never smoked (NS-LUAD). With RNA sequencing data from 684 NS-LUAD cases and validation in an independent dataset, we identified three subtypes with distinct phenotypic traits and cell compositions. Additional genomic and histologic data further characterized the subtypes. “Steady,” marked by low proliferation, high alveolar cell fraction, moderate-to-well differentiation, and fewer driver gene alterations, is linked to prolonged survival and low immune evasion. “Proliferative” shows high proliferation markers, TP53 mutations, and gene fusions. “Chaotic,” with high epithelial-to-mesenchymal transition markers, has the worst prognosis, even within stage I tumors. Lacking known molecular or histologic characteristics, this aggressive subtype is solely identified by transcriptomic data. A 60-gene signature recapitulates the classification and predicts survival even within subgroups based on tumor stage or known genomic features, emphasizing its potential for improving early-stage NS-LUAD prognostication in clinical settings. Significance: The transcriptome of 684 NS-LUAD identifies three subtypes with different cellular dynamics and genomic and morphologic features. A 60-gene signature accurately stratifies subjects for mortality risk, even in stage I, offering a potential clinically applicable tool for treatment decision-making in patients with NS-LUAD. See related commentary by Azizi et al., p. 423

Abstract Clinical flow cytometry laboratories are facing rising test volumes, greater assay complexity, and increasing requirements for quality control and assay validation. In response, the International Clinical Cytometry Society (ICCS) conducted a workload survey in early 2023 to gather updated information on assay volumes, complexity, staffing, and technology. Data analysis focused on identifying correlations between length of time to introduce new assays and other factors as a means to gain insight about laboratories that seem to be either adapting or struggling. Flow cytometry assays were categorized into 3 levels of technical/interpretative complexity: high (e.g., measurable/minimal residual disease (MRD assays)), moderate (e.g., leukemia/lymphoma assays (Assays L&L ), excluding MRD assays), and low (e.g., CD4 count). Annual assays per staff member were calculated according to staff involved in case sign‐out (Staff Signout ) or other laboratory operations (Staff LabOps ). Respondents were from 101 laboratories in the United States (69.3%), Canada (4.0%), and other countries (26.7%). Low, moderate, and high technical/interpretative complexity assays were performed in 85.1%, 97.0%, and 47.5% of all laboratories, respectively. Median annual total assays (Assays Total ) per laboratory were 3515 and, based on complexity, were 1518.5 (low), 1808.8 (moderate), and 350 (high). Among all laboratories, the median time (interquartile range) to introduce new Assays L&L was 6 mos. (4–12 mos.), to introduce MRD assays was 11 mos. (5–12 mos.), and to validate/go‐live with new cytometers was 8 mos. (4–12 mos.); these times positively correlated with each other. This study confirmed significantly increased workload since the prior ICCS 2013 workload survey with a concurrent decrease in Staff LabOps . Faster introduction of new assays correlated with other successes, including quicker validation of and going live with new cytometers. Among all laboratories, those that performed myeloid MRD assays versus those that did not were also found to be faster to introduce new assays. The need for sufficient staffing has been emphasized because laboratories with both higher annual volumes of myeloma MRD assays and higher ratios of Assays Total per Staff LabOps were slower to introduce new assays. “Lack of staff and/or time dedicated or protected for assay development” and, more generally, “staff number” were the most commonly identified major barriers for new assay development, with the former specifically linked to slower introduction of new assays among all laboratories.

ABSTRACT We conducted a USA claims‐based cohort study in 20,705 patients with inflammatory bowel diseases (IBD) on advanced therapies to estimate the overall and comparative risk of tuberculosis between advanced therapies using inverse probability of treatment weighted Cox proportional hazards model. The incidence rate (IR, per 100,000 person‐years) of tuberculosis with TNF antagonists ( n = 9378) and non‐TNF‐targeting biologics (anti‐integrins [ n = 5877], anti‐interleukins [ n = 5450]) was similar (38 [95% CI, 8–69] vs. 33[7–59]). Adjusting for covariates, risk of tuberculosis was similar (HR, 1.16 [0.41–3.31]). In low incidence regions like USA, the incidence of tuberculosis after starting advanced therapies for IBD is very low, and comparable across advanced therapies.

Objective Patients with chronic illness share their experiences in online communities and generate rich data on pain management. This study applied natural language processing methods, including large language models (LLMs), to Reddit discussions from lupus communities to characterize multidimensional pain experiences framed in the biopsychosocial model. Methods We extracted Reddit posts from the r/Lupus and r/LupusSupport subreddits posted from June 9, 2010, through December 31, 2023. Pain‐related posts were identified using a clinically informed pain lexicon. Topic modeling was used to identify thematic patterns, which were then compared with structured summaries generated by LLM instructions that were fine‐tuned using the biopsychosocial model of pain. Two reviewers conducted content analysis of the LLM‐generated summaries, evaluating thematic accuracy and coverage. Results Data from Reddit included 31,785 posts from 10,857 authors. We identified common pain complaints, management strategies, and sociocultural, affective, and nociplastic dimensions of pain. Instruction fine‐tuned LLMs produced structured summaries with an average thematic accuracy score of 3.1 of 4 (kappa = .09) and content coverage score of 2.9 of 4 (kappa = .38). Sociocultural features presented in 123 posts (33.8%), including peer support and validation (n = 106) and provider interactions or access issues (n = 35). Nociplastic pain presented in 205 posts (56.3%). Conclusion Natural language processing methods can be used to extract rich, multidimensional insights into pain experiences from online communities focused on lupus. These approaches highlight the psychological, social, and cultural facets of pain that may be underrepresented in clinical settings, supporting more patient‐centered approaches to care in rheumatology.

Background Immune-related adverse events (irAEs) remain largely unpredictable, potentially affecting multiple organ systems and occurring at almost any point during and even occasionally after immune checkpoint inhibitor (ICI) treatment. To identify populations at risk for these immune-mediated toxicities, we analyzed genetic characteristics and immune markers associated with clinically significant irAEs. Methods We carried out a genome-wide association study on 373 white patients receiving ICI treatment. We identified single nucleotide polymorphisms associated with irAEs. Blood cytokine profiling and peripheral blood mononuclear cell RNA sequencing were performed at pretreatment baseline and 6–8 weeks after ICI initiation. Findings were validated in two external cohorts. Results We identified genetic haplotypes in VWA8 (Von Willebrand Factor A Domain Containing 8) , OSBPL6 (Oxysterol Binding Protein Like 6), and ADAMTS9-AS2 (ADAM Metallopeptidase With Thrombospondin Type 1 Motif 9 Antisense RNA 2) associated with grade ≥2 irAEs. Patients carrying risk haplotypes for one or more genes exhibited significantly greater rates of grade ≥2 (OR 3.02; 95% CI 1.83 to 5.02; p<0.001), grade ≥3 (OR 3.59; 95% CI 1.93 to 6.64; p<0.001), and multiple type irAE (OR 2.60; 95% CI 1.53 to 4.39; p<0.001). Serum CCL3 levels were significantly elevated in individuals carrying risk haplotypes (p=0.03). Gene expression analysis demonstrated activated autoimmune and inflammatory pathways in the genetic risk group. Conclusions Novel polymorphisms in VWA8, OSBPL6, and ADAMTS9-AS2 may impact immune pathways, promote inflammation, potentiate autoimmune phenotypes, and convey risk of irAE in ICI-treated patients.

Abstract Introduction Obesity, defined as an elevated Body Mass Index (BMI) &gt;30, is a prevalent public health concern with far-reaching implications for various medical procedures and outcomes. In the context of inflatable penile prosthesis placement (IPP), where patient well-being and surgical success are of paramount importance, the impact of obesity on postoperative and intraoperative complications warrants thorough investigation. Objective Our study aimed to investigate the impact of BMI on both postoperative and intraoperative complications in an international, multi-institutional cohort of patients who underwent IPP placement. Methods We performed a retrospective chart review of 4398 cases. These cases were divided into two distinct groups based on BMI: less than 30 (n = 2260) and greater than or equal to 30 (n = 2138). The study assessed various surgical factors as well as complications, including overall complications, corporal scarring, incontinence, intraoperative complications, proximal perforation, distal perforation, proximal crossover, distal crossover, and urethral injury. Results Our analysis revealed that there were no statistically significant differences in intraoperative or postoperative complications between the two BMI categories. Notably, proximal corporal measurement was significantly higher for &gt;30 BMI group (9.55 +/−2.18) compared to &lt;30 BMI group (9.14 +/−2.19), (p = &lt; 0.001). The incidence rates for overall complications (30.2% vs. 28.7%; p = 0.164), corporal scarring (18.2% vs. 16.7%; p = 0.36), incontinence (3.53% vs. 3.13%; p = 0.076), intraoperative complications (1.94% vs. 1.68%; p = 0.253), and specific complications all exhibited no significant differences. Similarly, post-operative complications, including both non- infectious (6.99% vs. 6.22%; p = 0.215) and infectious (2.61% vs. 1.87%; p = 0.165) complications, did not significantly vary between BMI categories. Conclusions Our findings indicate that BMI does not exert a statistically significant influence on postoperative and intraoperative complications in the context of high-volume prosthetic urology. In the absence of any other differences between patients of differing BMIs, surgeons may need to be mindful of pump tubing length concerns in obese patients. Disclosure Any of the authors act as a consultant, employee or shareholder of an industry for: Coloplast, Clarus Therapeutics, Antares Pharma, Acerus.

Abstract Disclosure: M. Kakakhel: None. S. Cheema: None. R. Haider: None. M.H. Alsaadi: None. M. Ikram: None. W. Ftih: None. H. Jawad: None. M.U. Rehman: None. R. Akhtar: None. A. Qadeer: None. M. Khawar: None. A. Ullah: None. H. Ahmad: None. F. Ahmed: None. R. Alcaraz: None. Introduction: Conditions that disrupt the adrenal glands' typical function are known as adrenal gland ailments or diseases. This study examines the distribution of adrenal disorders across various demographic and geographic groups in the United States, including gender, census region, race, age groups, and urbanization levels. Our objective was to identify disparities and trends to inform targeted interventions and resource allocation. Methods: From 1999 to 2020, mortality statistics for adrenal diseases were extracted from the CDC-WONDER database. Age, sex, race, location, urbanization status, and place of death were used to stratify the age-adjusted mortality rates (AAMRs) and crude mortality rates (CMRs) per 100,000. We calculated the average annual percentage change (APC) using Joinpoint regression software. Results: A total of 31,028 fatalities were reported due to adrenal disorders from 1999-2020 (AAPC: 1.277; 95% CI, -0.032 to 2.6032, p=0.055916). An initial rising trend was observed from 1999-2003 (APC: 2.4799), followed by a declining trend from 2003-2013 (APC: -3.0094), then a modest rise from 2013-2018 (APC: -0.9188), and finally a sharp increase from 2018-2020 (APC: 2.9445). Males had a higher AAMR (6.8) than females (6.4). The West census region had the highest AAMR (7.2), followed by the Midwest (7.1), South (6.3), and Northeast (5.6). The highest crude mortality rate was observed in individuals aged 85+ years (52.2). Several disparities were noted when stratified by urbanization and race, including the highest AAMR in Non Core (Nonmetro) regions (7.9) and among American Indian or Alaska Native populations (8.2). The highest percentage of deaths occurred in medical facilities. Conclusions: The findings underscore the need for tailored public health strategies to address disparities in adrenal disorders among vulnerable populations. Specific attention should be directed towards the male gender, West census region, American Indian or Alaska Native populations, and the geriatric population. Future research should explore underlying causes and interventions to mitigate these disparities. Presentation: Monday, July 14, 2025

Background Antibiotic use may alter gut microbiota, which could be associated with various diseases, including cardiovascular disease (CVD). Accordingly, further epidemiological evidence is needed to clarify the potential risk of CVD associated with antibiotic exposure. We evaluated the association between long‐term antibiotic exposure and CVD risk in South Korea. Methods and Results This nationwide retrospective cohort study used data from the Korean National Health Insurance Service database. A total of 2 159 965 individuals aged 40 to 79 years who had no history of antibiotic prescriptions from 2004 to 2005 were included and followed through December 31, 2021. Antibiotic exposure was defined as the cumulative days of antibiotic prescriptions from 2006 to 2010. The primary end point was incident CVD with 2 or more days of hospitalization from 2011 to 2021. Adjusted hazard ratios (aHR) and 95% CIs for CVD according to antibiotic exposure were estimated using multivariable Cox proportional hazards models, adjusting for a range of covariates. Longer cumulative antibiotic prescription days were associated with an increased risk of CVD. The aHRs for CVD associated with 1 to 14, 15 to 90, 91 to 180, 181 to 364, and ≥365 days of antibiotic exposure were 0.98 (95% CI, 0.96–1.01), 1.01 (95% CI, 0.99–1.03), 1.05 (95% CI, 1.03–1.08), 1.06 (95% CI, 1.04–1.09), and 1.10 (95% CI, 1.07–1.13) compared with those with no antibiotic prescriptions. Conclusions In this large population‐based cohort study of Korean adults, long‐term antibiotic exposure may be associated with a higher risk of CVD. Further research is warranted to establish causality and elucidate the underlying mechanisms for this association.

Stereotactic radiosurgery was associated with a higher obliteration rate compared with embolization in patients with eloquent brain arteriovenous malformations, whereas there was no evidence of a difference in functional outcomes or complications after adjustment.

Mutations in BRCA1 and BRCA2 genes, whether inherited or somatically acquired, cause homologous recombination deficiency (HRD) in tumor cells. The timing of HRD onset in the emerging tumor lineage is unknown. Here, we present HRDTimer, an algorithm to infer the onset of HRD-driven mutagenesis prior to cancer diagnosis. We estimate that HRD arises at 34% of SBS1-based molecular time---corresponding to a median of 8.3 years (IQR 7.1--10.4) prior to diagnosis in triple-negative breast cancers, and 15.0 years (IQR 12.0--20.6) in ER-positive breast cancers. Bulk sequencing reveals accelerated SBS1 accumulation following neoplastic transformation compared to normal tissue, influencing the estimated age of HRD onset. Single-cell duplex sequencing confirms SBS1 acceleration in tumors and further shows that non-tumor cells largely lack the HRD signature, indicating that HRD is rare in pre-malignant cells, even in BRCA1/2 mutation carriers. Together, our analysis pinpoints the onset of HRD before diagnosis, defining a window for detection and potential interception.