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Abstract Metabolic diseases, including obesity, Type 2 diabetes (T2D), and metabolic syndrome, are increasingly prevalent worldwide, driven by sedentary lifestyles, aging populations, and complex genetic and environmental factors. Traditionally understood as disorders of glucose and lipid metabolism, a growing body of evidence now implicates cellular senescence as a central, age‐related contributor to metabolic dysfunction. Senescent cells (SCs) accumulate in key metabolic tissues where they disrupt tissue function through the senescence‐associated secretory phenotype (SASP), a pro‐inflammatory and fibrogenic secretome. SASP factors exacerbate insulin resistance, chronic inflammation, and tissue remodeling, advancing the progression and complications of metabolic diseases. These insights have catalyzed the development of senotherapeutics, a class of interventions that includes senolytics (to eliminate SCs), senomorphics (to suppress SASP), and senosensitizers (to render resistant SCs more vulnerable to clearance). Although preclinical studies show promise, translation into clinical practice faces significant challenges, including identifying reliable biomarkers, understanding SC heterogeneity, and optimizing treatment timing and safety. As research advances, senotherapeutics may offer a transformative approach not only to managing metabolic diseases but also to mitigating associated comorbidities. The recognition that antidiabetic agents already in clinical use can modulate key features of senescence highlights a unique translational opportunity, suggesting that prevention of age‐related metabolic disorders may be achievable with therapies already available in routine clinical practice. Medicine is poised to enter a new era in which targeting cellular senescence could fundamentally reshape the prevention and treatment of age‐related metabolic disorders, offering the potential for improved healthspan and reduced disease burden across the lifespan.

ABSTRACT Suicidality contributes substantially to global morbidity and mortality, yet despite its heritability, its biological etiology remains largely elusive. We conducted multi-ancestry genome-wide association study meta-analyses of suicidal ideation (259,747 cases), suicide attempt (64,993 cases), suicide death (9,197 cases), and suicidal behavior (suicide attempt/ death, 75,300 cases), across 54 cohorts (e.g., the Psychiatric Genomics Consortium, Million Veteran Program, UK Biobank). We identified 77 significant loci across meta-analyses, including 59 previously unreported for suicidality. SNP-based heritability ranged from 2.0-6.7% and there were strong, yet incomplete, genetic correlations between suicidality phenotypes (0.70-0.88). Fine-mapping prioritized putative causal SNPs and 20 credible genes. Enrichment analyses implicated synaptic pathways and neuronal populations predominantly in subcortical brain regions (e.g., amygdala excitatory, medium spiny, hippocampal CA1-3). Together, these findings establish suicidality as a polygenic set of traits with both shared and distinct genetic influences, providing a foundation for future studies of suicide biology and etiology.

BACKGROUND: Pelvic exenteration is the treatment of choice for selected patients with locally advanced primary and recurrent rectal cancer. Involvement of major pelvic neurovascular structures and bone was historically considered a contraindication due to unacceptably high rates of morbidity and low R0 resection rates. OBJECTIVE: To compare the outcomes of these “high-complexity” exenterative resections to those of “conventional” pelvic exenteration. DESIGN: International multicenter retrospective cohort study. SETTINGS: Sixteen specialized exenteration centers. PATIENTS: Those who underwent total pelvic exenteration for locally advanced primary and recurrent rectal cancer between 2018 and 2023 at participating centers. MAIN OUTCOME MEASURES: Perioperative resource utilization, morbidity, mortality, and R0 resection rates were reported. RESULTS: Seven hundred sixty-three patients underwent total pelvic exenteration, of whom 478 (63%) and 285 (37%) required conventional and high-complexity procedures, respectively. High-complexity pelvic exenteration was associated with longer operating time (600 vs 480 minutes, p < 0.001 for locally advanced primary rectal cancer, 623 vs 480 minutes, p < 0.001 for locally recurrent rectal cancer), intensive care stay (2 vs 1 day, p < 0.001 and 3 vs 1 day, p < 0.001), hospital stay (19 vs 15 days, p = 0.008 and 23 vs 15 days, p < 0.001), and higher blood loss (2000 vs 1236 mL, p < 0.001 and 3000 vs 1600 mL, p < 0.001). Morbidity and mortality outcomes and R0 resection rates were similar between the groups. LIMITATIONS: Generalizability of findings outside of expert units. CONCLUSIONS: High-complexity pelvic exenteration for the treatment of rectal cancer is associated with similar morbidity, mortality, and R0 resection rates, but it has a significantly higher operative time, blood loss, and hospital resource utilization compared to conventional pelvic exenteration. In high-volume, specialized centers, these techniques are considered the standard of care for appropriately selected patients with tumors that involve major pelvic bone or neurovascular structures. See Video Abstract . EXENTERACIÓN PÉLVICA TOTAL CONVENCIONAL FRENTE A EXENTERACIÓN PÉLVICA TOTAL DE ALTA COMPLEJIDAD PARA EL CÁNCER RECTAL LOCALMENTE AVANZADO Y LOCALMENTE RECURRENTE: UN ESTUDIO MULTICÉNTRICO INTERNACIONAL ANTECEDENTES: La exenteración pélvica es el tratamiento de elección para determinados pacientes con cáncer rectal primario y recurrente localmente avanzado. La afectación de las principales estructuras neurovasculares y óseas pélvicas se consideraba históricamente una contraindicación debido a las tasas inaceptablemente altas de morbilidad y a las bajas tasas de resección R0. OBJETIVO: Comparar los resultados de estas resecciones exenteración «de alta complejidad» con los de la exenteración pélvica «convencional». DISEÑO: Estudio de cohorte retrospectivo multicéntrico internacional. ENTORNOS: Dieciséis centros especializados en exenteración. PACIENTES: Aquellos que se sometieron a una exenteración pélvica total por cáncer rectal primario y recurrente localmente avanzado entre 2018 y 2023 en los centros participantes. PRINCIPALES MEDIDAS DE RESULTADOS: Se informaron la utilización de recursos perioperatorios, la morbilidad, la mortalidad y las tasas de resección R0. RESULTADOS: 763 pacientes se sometieron a una exenteración pélvica total, de los cuales 478 (63 %) y 285 pacientes (37 %) requirieron procedimientos convencionales y de alta complejidad, respectivamente. La exenteración pélvica de alta complejidad se asoció con un tiempo quirúrgico más prolongado (600 frente a 480 minutos, p < 0,001 para el cáncer rectal primario localmente avanzado, 623 frente a 480 minutos, p < 0,001 para el cáncer rectal localmente recurrente), estancia en cuidados intensivos (2 frente a 1 día, p < 0,001 y 3 frente a 1 día, p < 0,001), estancia hospitalaria (19 frente a 15 días, p = 0,008 y 23 frente a 15 días, p < 0,001) y mayor pérdida de sangre (2000 frente a 1236 ml, p < 0,001 y 3000 frente a 1600 ml, p < 0,001). Los resultados de morbilidad y mortalidad, así como las tasas de resección R0, fueron similares entre los grupos. LIMITACIONES: Generalización de los resultados fuera de las unidades especializadas CONCLUSIONES: La exenteración pélvica de alta complejidad para el tratamiento del cáncer de recto se asocia con tasas similares de morbilidad, mortalidad y resección R0, pero con un tiempo quirúrgico, una pérdida de sangre y una utilización de recursos hospitalarios significativamente mayores en comparación con la exenteración pélvica convencional. En centros especializados con un gran volumen de casos, estas técnicas se consideran el tratamiento estándar para pacientes adecuadamente seleccionados con tumores que afectan a los huesos pélvicos principales o a las estructuras neurovasculares. ( AI-generated translation )

Abstract Background Although there are data describing the onset of neurocognitive toxicity following radiation for patients with brain metastases, less is known about the potential for functional cognitive recovery (CR). This study sought to evaluate CR following neurocognitive function failure (NCF) in patients treated with stereotactic radiosurgery (SRS), whole-brain radiotherapy (WBRT), and hippocampal avoidance (HA)-WBRT. Methods A pooled analysis of 3 (NCCTG N107C/CEC.3, NCCTG N0574, and NRG CC001) clinical trials was performed. Patients with trial-defined NCF and longitudinal cognitive testing were included. The primary endpoint was time to CR, defined as patients no longer exhibiting a 1 or more standard deviation decline from baseline on any cognitive test. Results A total of 288 patients were included, with a median follow-up of 12.2 months. The cumulative incidence of CR was 38% (95% confidence interval [CI] = 32.5% to 43.9%) at 6 months after NCF. Incidence of CR was significantly improved with post-op SRS vs WBRT (hazard ratio [HR] = 2.68, 95% CI = 1.43 to 5.03, P = .002) and with SRS vs SRS+WBRT (HR = 2.35, 95% CI = 1.16 to 4.79, P = .008). On multivariable analysis, SRS was highly prognostic of CR compared with WBRT (HR = 2.42, 95% CI = 1.70 to 3.45, P &lt; .0001). Meta-analysis demonstrated that conformal RT techniques (SRS or HA-WBRT) conferred a significantly higher rate of CR compared with WBRT (pooled HR = 2.12, 95% CI = 1.49 to 3.02, P &lt; .001); 68% of patients had long-term sustained CR. Conclusions A sizeable proportion of patients who experience NCF following brain radiation eventually attain full and sustained CR, thereby highlighting that neurocognitive decline may not be permanent. The use of conformal radiation techniques results in greater rates of neurocognitive recovery.

BACKGROUND AND OBJECTIVES: The Management of Myelomeningocele Study established a role for maternal-fetal surgery for myelomeningocele (MMC) but was limited to patients with a maternal body mass index (BMI) less than 35 kg/m 2 . However, as the rate of obesity has increased globally, some centers have extended the Management of Myelomeningocele Study criteria to include patients with a BMI of 35 to 40 kg/m 2 . We used the Fetal MMC Consortium registry to analyze the complications associated with maternal-fetal surgery in patients with a maternal BMI < 35 kg/m 2 compared with 35 to 40 kg/m 2 . METHODS: The prospective observational Fetal MMC Consortium registry sponsored by the North American Fetal Therapy Network was used to extract deidentified “maternal complication” and “fetal/neonatal complication” data sets, corresponding to patients with complete entries related to maternal or fetal/neonatal complications, respectively. Demographics, clinical characteristics, and complications were recorded. Propensity score matching was conducted with a 2:1 algorithm, and outcomes were compared between patients with BMI < 35 kg/m 2 and those with BMI 35 to 40 kg/m 2 . RESULTS: Propensity score matching resulted in 156 patients with BMI < 35 kg/m 2 and 78 patients with BMI 35 to 40 kg/m 2 in the “maternal complication” data set, and 130 patients with BMI < 35 kg/m 2 and 65 patients with BMI 35 to 40 kg/m 2 in the “fetal/neonatal complication” data set. No significant differences in the median number of maternal (2.0 vs 2.0; P = .257) or median number of fetal/neonatal (1.0 vs 1.0; P = .409) complications were observed between the 2 cohorts. Furthermore, prematurity rates did not differ significantly between the BMI < 35 and BMI 35 to 40 cohorts. CONCLUSION: Maternal-fetal surgery for open neural tube defect closure is not associated with increased risks among patients with a maternal BMI of 35 to 40 kg/m 2 . Extending the initial inclusion criteria for prenatal MMC closure has the potential to expand access to patients with a higher risk for open neural tube defects.

Importance Inherited pathogenic variants (PVs) in known predisposition genes can greatly increase breast cancer risk, but the combined impact of PV status, family history, and other factors on breast cancer risk in the general US population has not been well described. Objective To evaluate population-based breast cancer risk estimates for those with established PVs overall and stratified by first-degree family history of breast cancer and other factors. Design, Setting, and Participants This study used pooled data from 13 US-based breast cancer case-control studies participating in the Cancer Risk Estimates Related to Susceptibility (CARRIERS) consortium. Enrollment for individual studies occurred between 1976 and 2013, and results are based on data released March 2023, with analyses conducted from June 2022 to July 2025. Exposures PVs, breast cancer family history, self-reported race and ethnicity, and established risk factors. Main Outcomes and Measures Breast cancer rate ratios for PVs in 7 genes were estimated from the CARRIERS consortium. PV status and incidence and mortality statistics were combined using the Individualized Coherent Absolute Risk Estimation (iCARE) model to estimate conditional cumulative breast cancer risks and 95% CIs, stratified by family history and standardized to the US population. Models that incorporated population-based data and published estimates for established epidemiologic risk factors were also evaluated. Results A total of 67 692 women were studied, including 33 841 who were diagnosed with breast cancer. PVs in ATM , BRCA1 , BRCA2 , CHEK2 , and PALB2 were strongly associated with breast cancer risk, with BRCA1 and PALB2 PVs showing evidence of heterogeneity by family history. In models considering PVs, family history, and established risk factors, the estimated cumulative risks of breast cancer by age 50 years ranged from 2.4% (95% CI, 2.4-2.4) in women with no PVs and no family history to 35.5% (95% CI, 21.6-55.1) in PALB2 PV carriers with a family history. Among women who have not been diagnosed with breast cancer by age 50 years, the cumulative risk of breast cancer by age 80 years ranged from 11.1% (95% CI, 11.0-11.2) in noncarriers with no family history to 70.5% (95% CI, 52.8-83.5) for PALB2 carriers with a family history. PV-specific cumulative risk estimates varied across subgroups defined by race and ethnicity and potentially modifiable epidemiologic risk factors. Conclusions and Relevance In this study, population-based estimates of cumulative breast cancer risk for established PVs, as informed by the CARRIERS case-control sample, varied by family history and potentially modifiable risk factors. These estimates provide guidance for identifying individuals who will most benefit from enhanced screening and prevention strategies.

Abstract BACKGROUND Ovarian cancer rarely metastasises to the brain, thus studies reporting the outcomes of affected patients are lacking. Stereotactic radiosurgery (SRS) is now the mainstay of management for patients with brain metastases (BM) from most primary sites, but little evidence of its efficacy in ovarian cancer is available. The current study was undertaken to provide guidance for SRS management using pooled data from multiple institutions. MATERIAL AND METHODS Centers participating in the IRRF (International Radiosurgery Research Foundation) were asked to provide outcome data for patients who had SRS for ovarian cancer brain metastases between 2020 and 2024 and at least one clinical and imaging follow-up after the procedure. Primary endpoints included survival from SRS, local tumor response according to RANO-BM criteria and occurrence of adverse radiation effects (ARE). Cox regression analyses were performed to identify variables impact each endpoint. RESULTS 128 patients had SRS for a total of 532 BM treated. Epithelial histology was the most common (91%). Median age at SRS was 62 years (IQR 56-70). Median KPS was 80% (IQR 80-90%) and 71.9% of patients had neurological symptoms at presentation. Other active systemic metastases were present in 41.4%. The median number of treated BM was 2 (IQR1-3) and the median cumulative treatment volume was 6 cc (IQR 2-12.9). The median margin dose was 18 Gy (IQR 16-20). At last follow-up, 19.5% of patients were still alive. The median overall survival (OS) after SRS was 27 months, and 6-, 12- and 24-month OS was 83.8%, 74.2% and 52.2%, respectively. Multivariate analyses revealed that increasing age at SRS (HR 1.02, p=0.05), active systemic metastases (HR 2, p=0.005) and increasing number of brain metastases (HR 1.05, p=0.04) were associated with worse survival, while repeating SRS (HR 0.4, p=0.002) led to improved survival. Local failure occurred in 12.8% of treated BM. Actuarial progression-free survival (PFS) at 6, 12 and 24 months was 92.3%, 86.6% and 70.3%, respectively. Only prior WBRT (HR 4.36, p=0.03) led to worse local control on multivariate analyses. New remote BM appeared in 49.5% of patients and 14.5% suffered from leptomeningeal dissemination. ARE were seen in 12.1% of BM but were symptomatic in only 3.2%. On multivariate analyses, prior SRS (HR 3.13, p=0.002) was associated with increased risk of ARE. CONCLUSION Ovarian cancer brain metastases can be safely and effectively managed with SRS as the primary treatment modality in most patients.

ABSTRACT Introduction Sinonasal sarcomas are exceedingly rare entities, constituting less than 7% of head and neck sarcomas. Their complex histology needs specialized treatment, which is often based on multimodal approaches including surgery, radiation therapy, and/or chemotherapy. This manuscript aims to gather expert opinions to establish common management principles for sinonasal sarcomas. Methods This international consensus followed a modified Delphi method in seven steps, including statements definition by the core group, expert panel recruitment, and a two‐round survey. Sixty‐two statements on sinonasal sarcoma management were developed. Experts from multiple continents participated, and results were anonymized and analyzed between March and May 2025. Results A total of 44 invited experts were recruited, 43.2% otorhinolaryngologists/head and neck surgeons, 31.8% medical oncologists, and 25% radiation oncologists. Participants varied in age and experience, representing Europe (70.5%), North America (18.2%), South America (6.8%), and Asia (4.5%). Among all histologies, biphenotypic sarcoma, chondrosarcoma, leiomyosarcoma, and myofibrosarcoma are principally treated with an upfront surgical management, differently from Ewing sarcoma and rhabdomyosarcoma in which chemotherapy, eventually associated with radiotherapy, is often chosen. In the remaining histologies (angiosarcoma, liposarcoma, malignant peripheral nerve sheath tumor [MPNST], osteosarcoma, and synovial sarcoma), a precise multimodal treatment is less standardized and needs to be discussed on a case‐by‐case basis. Conclusion Sinonasal sarcomas require a histology‐driven approach to determine upfront treatment, whether surgical, medical, or multimodal. Despite this structured strategy, prognosis remains highly variable across subtypes. Multidisciplinary evaluation and individualized management in referral centers are crucial to address the biological diversity and anatomical complexity of these rare malignancies.

Abstract Background Delirium is often underdiagnosed in clinical practice and is not routinely coded for billing. While manual chart review can identify delirium, it is labor-intensive and impractical for large-scale studies. Natural language processing (NLP) can analyze unstructured text in electronic health records (EHRs) to extract meaningful clinical information. Methods To support national integration of NLP for EHR-based delirium identification across different institutions, we launched the Delirium Interest Group within the national Evolve to Next-Gen Accrual to Clinical Trials (ENACT) NLP Working Group. This paper outlines our initial efforts to standardize, evaluate, and translate an NLP-based delirium detection model into the i2b2/ENACT platform. Results Multisite contextual inquiry identified several key challenges, including variations in local screening practices (eg, tools used, documentation frequency, and quality control), the need for harmonized definitions in the context of EHRs, and the complexity of modeling temporal logic. Multisite NLP evaluation revealed variable performance degradation driven by differences in delirium screening practices, clinical documentation patterns and semantics, and note syntactic structures. Conclusion Our work represents an important first step toward enabling scalable and standardized NLP-based delirium detection across institutions. By engaging diverse institutions through the ENACT NLP Working Group, we identified shared challenges and site-specific variations that impact model implementation and performance. Our collaborative approach enabled the development of a more robust framework for delirium identification across heterogeneous EHR systems. Future efforts will build on this foundation to enhance the validity, usability, and translational impact of delirium detection.