Citations

Abstract Glioblastoma is a highly lethal malignancy with dismal overall survival and near universal recurrence despite maximal multimodal therapy. Patients with unmethylated O6-methylguanine methyltransferase (MGMT) promoters do not derive survival benefit from adjuvant temozolomide. Immunotherapies have revolutionized cancer care; however, this modality has yet to translate into survival benefits in glioblastoma in part due to both local and systemic immunosuppressive states. Here, we report the results of a phase 1 clinical trial (NCT04015700) evaluating the safety and feasibility of GNOS-PV01, a personalized DNA vaccination platform that safely immunized against up to 40 patient-specific neoantigens in a clinically relevant timescale following surgical resection and radiation for MGMT-unmethylated glioblastoma patients. Multisector tumor sampling at time of resection enabled personalized and spatially representative neoantigen identification through an established pipeline. In the nine participants receiving vaccines, there were no unexpected toxicities or serious adverse events with a median vaccine delivery time of 10 weeks post-radiation. The vaccination was strongly immunogenic and induced activation and expansion of both local infiltrating CD8+ and CD4+ T-cells and circulating peripheral T-cells. T-cell receptor sequencing revealed both expanded pre-existing populations as well as novel neoantigen-specific populations, suggesting that vaccination both reinvigorates pre-existing immunity and generates novel immune reactivity. We developed a new technology to profile T-cells at single-nuclei resolution from frozen tissue revealing that vaccination altered gene expression signatures involved in inflammatory response and lymphocyte activation in the tumor microenvironment. Exposure to dexamethasone greatly suppressed immune reactivity, while PD-1 blockade enhanced local immune responses. With respect to efficacy, one third of patients survived longer than 24 months with one long-term survivor living >40 months from time of diagnosis, exceeding survival of recently published trials. Thus, our study demonstrates the safety, feasibility, and preliminary clinical efficacy of a personalized multivalent neoantigen vaccination platform in a devastating cancer.

Introduction: Placental dysfunction is an emerging contributor to neonatal morbidity and mortality in pregnancies complicated by fetal congenital heart disease (CHD). Previous work in mouse models of CHD and examination of human placental pathology indicates that the maternal-fetal interface, specifically the syncytiotrophoblast layer, can be dysmorphic in fetal CHD-affected pregnancies. We hypothesized that gene expression in a subset of placentas affected by fetal CHD would show differences in genes required for syncytiotrophoblast differentiation and function. Methods: Placentas from pregnancies affected by fetal CHD were sampled and stored as formalin-fixed paraffin embedded blocks per pathology core standard protocol. A subset of fetal CHD cases affected by left ventricular outflow tract obstruction (LVOTO) without genetic diagnoses or major extracardiac anomalies were selected for transcriptomic analysis. Results: Placentas affected by fetal LVOTO (n=20) demonstrated markedly reduced expression of genes associated with terminally differentiated syncytiotrophoblasts compared to controls (n=10). Specifically, aromatase (p<0.0001), placental growth hormone (p<0.0001), and multiple chorionic gonadotropin subunits and pregnancy specific glycoproteins were downregulated. Transcription factor GCM1, a master regulator of trophoblast differentiation, was also downregulated (p<0.0001). Syncytin-1, a product of syncytiotrophoblasts that facilitates their formation from cytotrophoblasts, was downregulated (p<0.0001) and syncytin-1 receptor expressed on cytotrophoblasts was upregulated (p<0.0001) in the LVOTO affected placentas. Abundance of cytotrophoblasts did not differ between groups, which showed similar expression of cytotrophoblast markers including E-cadherin and cytokeratins. Conclusions: Dysregulation of the heart-placenta axis in fetal CHD may be a result of altered syncytiotrophoblast differentiation, resulting in decreased functional surface area at the maternal-fetal interface.

Introduction: Percutaneous nephrolithotomy (PCNL) has been a mainstay treatment for large stone burdens since the 1980s, historically offering improved stone-free rates over retrograde intrarenal surgery (RIRS). Gaining optimal access into the renal collecting system can be challenging, requiring advanced skills or interventional radiology assistance. The learning curve for fluoroscopic and ultrasonography access can be steep, with only a minority of PCNL access performed by urologists in the United States. This study compares robotic-assisted electromagnetic (EM) guidance to traditional fluoroscopy for obtaining percutaneous renal access between cohorts of novice and expert urologists. Methods: Ten novices and five expert urologists used robotic-assisted EM guidance to obtain access in a modified supine position compared with using fluoroscopy in a traditional prone position in human cadavers. Primary success was defined as papillary access. Performance metrics, including number of puncture attempts, time to access, radiation exposure, and participant confidence, were compared between novices and experts. Results: Robotic-assisted EM guidance improved success rates for both novices (100% vs 70%) and experts (93% vs 87%) compared with fluoroscopy. Novices showed greater accuracy using robotic assistance (97% vs 37%). The number of insertion attempts decreased with robotic guidance for both groups (novices: 3.42 ± 0.44 vs 1.47 ± 0.19; experts: 2.13 ± 0.36 vs 1.40 ± 0.24; p < 0.002). EM guidance ( p < 0.05) and experience ( p < 0.05) significantly reduced the time from needle insertion to access (novices: 12.86 ± 2.41 minutes vs 4.49 ± 0.96 minutes; experts: 4.90 ± 1.40 minutes vs 4.09 ± 1.12 minutes). Radiation exposure was notably lower with EM guidance (novices, 1.12 ± 0.17 mGy vs 4.86 ± 0.70 mGy; experts, 0.69 ± 0.12 mGy vs 4.11 ± 1.21 mGy; p < 0.001). Novices felt more confident (5[3–5] vs 2[1–4], p < 0.001) and at ease (5[3–5] vs 2.75[1–3], p < 0.001) with EM guidance. Conclusion: Robotic-assisted EM guidance improves percutaneous access success, reduces attempts and radiation exposure, and enhances novice confidence and accuracy. This technology could enable urologists to more effectively and safely perform PCNL, especially for less experienced practitioners.

Abstract The idea that it might be possible to prevent some forms of amyotrophic lateral sclerosis and frontotemporal dementia has finally come of age. The hexanucleotide repeat expansion in the C9orf72 gene accounts for ∼10% of all amyotrophic lateral sclerosis and 10%–15% of all frontotemporal dementia diagnoses, with the two clinical syndromes co-manifesting in a significant number of patients. As a result, clinically unaffected carriers of pathogenic C9orf72 repeat expansions are currently the largest identifiable population at significantly elevated risk for both amyotrophic lateral sclerosis and frontotemporal dementia, and in whom it might be possible to prevent the emergence of clinically manifest disease. Strategies for the design of disease prevention trials among clinically unaffected C9orf72 carriers have begun to emerge separately in the amyotrophic lateral sclerosis and frontotemporal dementia fields. However, recognition of the need to define neurodegenerative diseases based on biology underscores the need to consider all potential clinical manifestations of a C9orf72 repeat expansion together, rather than the traditional siloed approach of focusing on only amyotrophic lateral sclerosis or only frontotemporal dementia. Indeed, emerging clinical and biological markers that might be used to quantify pre-symptomatic disease progression and to predict the short-term risk of phenoconversion to clinically manifest disease are shared across the phenotypic spectrum. Given the anticipated progress in the development of therapeutic strategies to target the C9orf72 repeat expansion, and the enthusiasm for prevention trials among the unaffected C9orf72 repeat expansion carrier population, now is the time to begin work on the design of disease prevention trials. To this end, The Association for Frontotemporal Degeneration and The ALS Association supported a multi-stakeholder workshop (in Washington D.C., June 2024) to unify efforts to design a prevention trial for the population at elevated genetic risk for the phenotypic spectrum of C9orf72 disease. Here we describe recommendations emanating from this workshop for the selection of outcome measures, delineation of eligibility criteria, optimal use of biomarkers and digital health technologies, potential analytic frameworks and relevant regulatory considerations related to C9orf72 disease prevention trials. We also emphasize the importance of the amyotrophic lateral sclerosis and frontotemporal dementia communities working together in partnership with the C9orf72 repeat expansion carrier community, the regulatory authorities and the broader drug development community.

BACKGROUND: Imaging is a critical aspect of vestibular schwannoma (VS) management, influencing essentially every aspect of care including diagnosis, surveillance, treatment decision making, and follow-up after either resection or stereotactic radiosurgery. Despite this, treatment protocols are heterogeneous, and frequently based on historical practices, or low-quality evidence. OBJECTIVE: To update evidence-based guidelines for the use of imaging in the clinical management of patients with VS published by the Congress of Neurological Surgeons in 2018. METHODS: Systematic review of the literature published from 1/1/2015 to 5/20/2022 regarding imaging protocols for VS management. Salient questions were identified by a writing group of diverse individuals with topic-specific expertise. Questions were validated by the Congress of Neurological Surgeons Guidelines Committee. Following systematic review, literature tables and summary statements pertinent to the study questions were generated by the writing group, which underwent subsequent evaluation and revision by the task force before formalization. RESULTS: Seven questions were formulated; adequate literature was identified to formulate updated recommendations for 6 of these. Search strategy identified 1143 unique records, of which 109 underwent full-text review, and 57 were included in this study. Most studies provided level III evidence, with rare level II studies noted, yielding level III recommendations. CONCLUSION: The current evidence base for imaging protocols in VS clinical management is broad, diverse, low certainty, and low quality. This in part reflects a heterogeneous disease, although variability in treatment philosophies may also influence local decision making. Key areas for future study include the clinical utility of advanced imaging techniques and head-to-head comparisons of imaging protocols for patients in common initial VS management pathways (eg, observation, resection, or stereotactic radiosurgery). The full guideline can be seen online at https://www.cns.org/guidelines/treatment-adults-vestibular-schwannoma/5-role-of-imaging-in-management-of-patients-with-v

Abstract Background Hospital‐at‐home programs (HaH) in the United States have evolved to include a virtual‐hybrid delivery model, where all physician encounters are virtual and partnered with a home care team. Objective To examine whether a virtual hybrid HaH program enabled by technology has similar clinical outcomes to traditional brick‐and‐mortar (B&M) hospital care. Methods We conducted a pragmatic trial at three hospitals, randomizing 1150 acutely ill patients requiring hospital care between July 10, 2023, and October 31, 2023 one‐to‐one into two groups: intervention (HaH) and control (B&M). The primary analysis was an intention‐to‐treat non‐inferiority analysis of the primary outcome, which was a composite of 30‐day all‐cause mortality and unplanned readmissions. Secondary outcomes included 30‐day readmission, all‐cause mortality, and patient experience. Results The mean age was 67.8 (standard deviation [SD] 16.3) years, and 52.2% were female. The primary outcome occurred in 99 (17.3%) HaH patients and 114 (19.8%) B&M patients (odds ratio [OR] 0.85, 95% confidence interval [CI] 0.63–1.14, p = .28), meeting the non‐inferiority criterion. Thirty‐day unplanned readmission occurred in 84 (14.7%) HaH patients and 101 (17.5%) B&M patients (OR 0.81, 95% CI 0.59–1.11, p = .19). Thirty‐day all‐cause mortality occurred in 25 (4.4%) HaH patients and 19 (3.3%) B&M patients (OR 1.34, 95% CI 0.73–2.46, p = .35). No HaH patients died while receiving their hospital care at home. HaH program was associated with a higher likelihood of patients reporting feeling extremely comfortable or very comfortable (84.4% HaH; 60.9% B&M, p = .001). Conclusion A hybrid HaH model is a safe and comfortable alternative to traditional B&M hospital care.

Abstract RATIONALE: Airway-to-lung ratio (AirLR), calculated as the mean of airway lumen diameters at standard anatomic locations divided by the cube-root of total lung volume, is associated with COPD risk regardless of smoking status, and we have previously shown an association between total-pulmonary-vascular-volume-to-lung-size relationship with AirLR. [PMCID: PMC11284327] Using dual energy computed tomography (DECT), we recently developed a deep learning-based algorithm for pulmonary arterial segmentation to compute pulmonary-arterial-to-lung ratio (ArtLR) which correlated significantly with AirLR and markers COPD. Here we automate image processing in a larger cohort to estimate ArtLR, introduce an alternative ArtLR standardization and correlate it to COPD-related measures of lung structure and function. METHODS: Using a SPIROMICS sub-cohort (110 participants), imaged via contrast enhanced DECT at functional residual capacity (FRC), an automatic deep learning pipeline segmented the arteries from the pulmonary vascular tree. Another pipeline automatically extracted the centerlines and calculated average arterial segment diameters. A paired non-contrast total lung capacity (TLC) scan was registered to the DECT FRC scan to transfer airway segment labels from the TLC to FRC domain. AirLR was calculated as the mean of airway lumen diameters at standard anatomic locations (trachea-to-subsegments) divided by cube root of lung volume [TLC or FRC]. A simple Long Short-Term Memory (LSTM) network was used to find corresponding anatomic arterial segments. Associations between ArtLR and %Emphysema, AirLR, pre- and post-bronchodilator FEV1/FVC, and a texture-based (AMFM) measure of %broncho-vascular bundles was assessed using linear regression to adjust for age, sex and BMI. RESULTS: In adjusted analyses, a 1-SD decrement in ArtLR-TLC was associated with 4.198 units increase in %Emphysema-910 (95%CI: 1.360-7.037; p = 0.0041), and 0.8198 units decrease in %Bronchovascular (95%CI: 0.5037-1.136; p &lt; 0.0001). A 1-SD increment in ArtLR-TLC was associated with 0.2515 SD increase in AirLR-Outer (95%CI: 0.04947SD-0.4536SD; p = 0.0152), and 0.02083 units increase in PreBronch-FEV1FVC (95%CI: 0.001814-0.03984; p = 0.0321). Sex and BMI show significant associations with ArtLR-TLC, where female is associated with 1.068 SD decrease in ArtLR, and a unit increase in BMI is associated with 0.05788 SD increase in ArtLR (both p-values &lt; 0.0001), and age was not association with ArtLR. CONCLUSIONS: An automated pipeline for pulmonary arterial tree segmentation and standardization from contrast enhanced DECT FRC scans demonstrates a significant relationship between ArtLR and AirLR as well as between ArtLR and %emphysema, and FEV1/FVC. A standardized method of arterial tree size assessment provides for expanded exploration of vascular vs airway disease etiologies.

Despite advances in cardiovascular care and improved outcomes, fragmented healthcare systems, nonequitable access to health care, and nonuniform and unbiased collection and access to healthcare data have exacerbated disparities in healthcare provision and further delayed the technological-enabled implementation of precision medicine. Precision medicine relies on a foundation of accurate and valid omics and phenomics that can be harnessed at scale from electronic health records. Big data approaches in noncardiovascular healthcare domains have helped improve efficiency and expedite the development of novel therapeutics; therefore, applying such an approach to cardiovascular precision medicine is an opportunity to further advance the field. Several endeavors, including the American Heart Association Precision Medicine platform and public-private partnerships (such as BigData@Heart in Europe), as well as cloud-based platforms, such as Terra used for the National Institutes of Health All of Us, are attempting to temporally and ontologically harmonize data. This state-of-the-art review summarizes best practices used in cardiovascular genomic and precision medicine and provides recommendations for systems’ requirements that could enhance and accelerate the integration of these platforms.