Citations

Abstract Diffuse leptomeningeal glioneuronal tumors (DLGNT) are rare central nervous system tumors. Our understanding of the clinical course, prognostic factors, and optimal treatment strategies remains limited. Histologic, molecular, and clinical data were collected and analyzed for 25 patients with DLGNT reviewed at St. Jude Children’s Research Hospital. The median age at diagnosis was 6 years (11 months-20 years). Nineteen (72%) patients were male. The disease was localized at diagnosis in 12 (48.0%) patients, with most tumors localized in the spinal cord. BRAF fusion was present in 22 (95.6%) of 23 patients who had material for testing. Of 18 patients who had tissue for DNA methylation profiling, 3 (16.7%) matched to DLGNT MC-1, 3 (16.7%) to DLGNT MC-2, and 12 (66.7%) did not match to a DLGNT subclass. Median follow-up was 63 months. Twenty-four (96.0%) patients received adjuvant therapy after initial diagnosis or at progression. Thirty-five cytotoxic chemotherapy and 24 single-agent targeted therapy regimens were used in 22 and 13 patients, respectively. With targeted therapy, 3 (12%) patients had partial responses. Eleven (44.0%) received radiotherapy. Median progression-free survival (PFS) after a patient’s first chemotherapy, targeted therapy, or radiotherapy regimen was 44 months (1-77), 11 months (4-39), and 16.5 months (9-23), respectively. The 5-year PFS was 18.7%±9.2, while the 5-year overall survival (OS) was 82.4%±9.2. The 5-year OS was lower in patients older than 9 years at diagnosis (60.0%±21.9 vs 91.7%±8.0, p = 0.02). Ki67 >4% was associated with worse PFS (0%±0 vs 24.6%±11.9 at 5 years, p = 0.03). Initial disease dissemination (localized vs. disseminated) and 1q gain status do not influence PFS or OS. PFS for DLGNT remains poor across all treatment modalities, including targeted therapies, despite the high frequency of BRAF fusions. Due to its rarity, establishing optimal therapeutic strategies for DLGNT requires additional treatment and outcome data and prospective multi-institutional trials.

Abstract Background NRG/RTOG 1010 evaluated trastuzumab added to trimodality therapy for HER2+ localized esophageal adenocarcinoma (EAC) management. Secondary PRO objectives assessed improvement in the FACT‐Esophageal Cancer Subscale (ECS), version 4, with trastuzumab, and if improved ECS correlated with pathologic complete response (pCR). Methods Patients were randomized to weekly paclitaxel/carboplatin/radiation (chemoradiation, CRT) followed by surgery ± trastuzumab (CRT + Tras). Disease‐free survival (DFS) was the primary end point. The projected PRO sample size of 158 patients, based on an 80% participation rate of the DFS primary endpoint sample size of 197 HER2+ patients, would provide ≥ 89% power to detect ≥25% increase in the proportion of CRT + Tras patients with ECS improvement from baseline to 6–8 weeks post‐CRT; one‐sided α = 0.05, using a χ 2 test. Improvement in ECS and its swallowing index (SI) and eating index (EI) was defined as 5‐, 2‐, and 2‐point increases, respectively, from baseline to 6–8 weeks post‐CRT. Univariate logistic regression was assessed if pCR was associated with improved ECS. Results From 2010 to 2015, 203 HER2+ patients were randomized and 194 were eligible. Of 171 PRO consenting patients, the ECS was completed by 162 (95%) at baseline, 108 (64%) 6–8 weeks, 82 (49%) 1 year, and 55 (33%) at 2 years. The proportion of patients with an improvement in 6–8 weeks ECS was higher on the CRT + Tras arm (46% vs. 38%), although not significantly different ( p = .39). There was no correlation between pCR and ECS scores at 1 year, with 39% and 37% of pCR and non‐pCR patients, respectively, having improved 1‐year ECS scores. Conclusions The addition of trastuzumab to CRT for localized HER2+ EAC did not improve PROs.

Objective: To evaluate the associations between surgeon-patient sex concordance, long-term clinical outcomes and healthcare costs. Background Data: Emerging data suggest surgeon-patient sex concordance may improve short-term outcomes, especially for female patients, yet its long-term effects remain unknown. Methods: We conducted a population-based retrospective cohort study of adults undergoing common surgeries in Ontario, Canada (2007-2019). Patients were followed for 90 and 365 days. Surgeon-patient sex concordance was categorized into four dyads. Multivariate generalized estimating equations clustered by procedure type evaluated composite and individual (complications, readmission, mortality) clinical outcomes and healthcare costs. Results: A total of 1,165,711 patients were included. Female patients treated by male surgeons, compared with female surgeons, were more likely to experience an adverse composite event (90 d: aOR 1.12, 95% CI 1.08–1.17, P <0.001; 365 d: aOR 1.09, 95% CI 1.05–1.14, P <0.001), with no association among male patients (90 d: aOR 1.00, 95% CI 0.94–1.05, P =0.89; 365 d: 0.99, 95% CI 0.92–1.07, P =0.87). Long-term total healthcare costs were greater for patients treated by male surgeons - an effect seen in both male patients (90 d: aRR 1.08, 95% CI 1.03-1.14, P =0.002 and 365 d: aRR 1.08, 95% CI 1.02-1.14, P =0.007) and female patients (90 d: aRR 1.10, 95% CI 1.05-1.14, P <0.001, 365 d: aRR 1.09, 95% CI 1.05-1.14, P <0.001). Conclusions: Surgeon-patient sex concordance was associated with improved long-term outcomes for female, but not male, patients, and female surgeons’ patients had lower healthcare costs. Given these benefits, further investigation into the mechanisms driving these outcomes is warranted.

Extramedullary presentations of multiple myeloma (MM) involving the central nervous system (CNS) carry a dismal prognosis. Although historically rare, management of extramedullary disease—including CNS manifestations—has become increasingly clinically relevant as advances in systemic therapies have prolonged control of medullary disease. CNS manifestations may occur across a variety of clinical settings and at different time points throughout the disease course. Common symptoms include visual changes, headaches, loss of sensation, confusion, and seizures. MRI identifies leptomeningeal enhancement and/or parenchymal lesions in approximately 90% of cases, and lumbar puncture with cerebrospinal fluid testing for clonal plasma cell populations is confirmatory. Encouragingly, the incorporation of novel therapeutic agents has improved historically poor outcomes in CNS MM. Novel immunotherapeutic approaches using CAR T-cell therapy and bispecific T-cell–engaging antibodies have recently demonstrated significant efficacy in consolidating responses. Multimodality treatment strategies incorporating intrathecal chemotherapy, systemic novel agents, radiation therapy, and immunotherapy hold promise for achieving more durable responses in this devastating manifestation of MM.

Abstract INTRODUCTION The tau positron emission tomography (PET) overlap index (OI) has shown promise in maximizing signal‐to‐noise for longitudinal tau PET imaging, particularly for early tau pathology, but requires validation against neuropathology. METHODS Fifty‐seven participants who underwent serial tau PET imaging (flortaucipir) and subsequent autopsy were included. Tau PET OI and standardized uptake value ratios (SUVRs) were compared across neuropathological diagnoses. RESULTS Tau PET OI showed greater concordance with neurofibrillary tangle (NFT) severity in the entorhinal cortex (a key region for Alzheimer's disease [AD] tauopathy) than SUVR, particularly in early Braak tangle stages (positivity: 52.2% for OI vs. 13.0% for SUVR). OI detected overlapping tau voxels that exhibited spatial correspondence with immunohistochemical and autoradiography measures of tau deposition across both AD and non‐AD tauopathies. DISCUSSION These findings demonstrate the enhanced capacity of OI in serial tau PET to robustly detect early and spatially localized tau pathology, supporting its application as a sensitive imaging metric in AD and select non‐AD tauopathies.

ABSTRACT Background Sunlight has profound impacts on physical and mental health, beyond vision, including effects on circadian rhythms, alertness, mood, and sleep. A family history of any mood disorders is strongly associated with psychiatric disorders including bipolar disorder. The purpose of this study was to evaluate the association between a family history of any mood disorder in patients with bipolar I disorder and solar insolation at varied international onset locations. Methods Data for this analysis were available from 5842 patients with a diagnosis of bipolar I disorder obtained at 83 collection sites in both hemispheres. This included 4752 patients from 71 collection sites in the northern hemisphere and 1090 patients from 12 collection sites in the southern hemisphere. Patient data variables were obtained from records or interviews. Solar insolation data were obtained from The National Aeronautics and Space Administration (NASA) Power database for each onset location, and the ratio of the mean monthly minimum/mean monthly maximum solar insolation was calculated. Typically, the ratio is largest near the equator (little yearly change in solar insolation) and smallest near the poles (large yearly change in solar insolation). Results A significant relationship was found between a family history of any mood disorder, the ratio of the mean monthly minimum/mean monthly maximum solar insolation, and gender. The odds of a family history of mood disorder increased as patient location nears the poles and decreased near the equator. Female gender also increased the odds of having a family history of a mood disorder. Conclusions This study highlighted the association between family history, solar insolation, and gender in international patients with bipolar I disorder. Given the profound effects of sunlight on human health, the family of patients with bipolar disorder who live in the same location with the same solar insolation, and especially females, may be at increased risk for a mood disorder.

Abstract Objectives Traditional laboratory regulatory frameworks provide robust guidance for conventional clinical testing but lack requirements for data documentation for artificial intelligence and machine learning (AI/ML) solutions. This gap creates significant risks since AI solutions directly inherit patterns, biases, and limitations from their training data. Here, we describe the development and implementation of a comprehensive data documentation checklist with accompanying data lineage for use within an AI lifecycle framework for clinical laboratories. Methods Building on the previously established Clinical AI Readiness Evaluator (CARE) framework, we developed a comprehensive data checklist and data lineage methodology through a multiphase process, including (1) comprehensive review of existing AI/ML data documentation frameworks, (2) focused meetings with 3 institutional AI operations teams, and (3) 3 rounds of iterative refinement by our multidisciplinary team. The checklist’s effectiveness was then assessed using 3 diverse AI/ML projects moving through the CARE framework. Results The CARE Data Checklist and Data Lineage provide a structured approach to documenting critical aspects of datasets used in AI/ML projects, including data composition, demographics, collection methods, labeling processes, usage constraints, maintenance requirements, and a data readiness assessment. The checklist addresses unique data-centric challenges of AI/ML applications, facilitating transparency, reproducibility, and regulatory compliance. Conclusions The CARE Data Checklist and Data Lineage serve as both a technical guide and a communication tool bridging gaps between technical and clinical stakeholders. By working on these documents early in the AI lifecycle, laboratories can anticipate and address data-related challenges, ultimately saving time, optimizing resources, and improving the reliability of AI-augmented laboratory solutions.