Germline prediction of immune checkpoint inhibitor discontinuation for immune-related adverse events.

Introduction: Immune checkpoint inhibitors (ICIs) can yield remarkable clinical responses in subsets of patients with solid tumors but can also often lead to immune-related adverse events (irAEs). Predictive features of clinically severe irAEs leading to cessation of ICIs have yet to be established. Using data from 1,327 patients with lung cancer treated with ICIs between 2009 and 2022 at four academic medical centers, we evaluated the association of a germline polygenic risk score for autoimmune disease and discontinuation of ICIs due to irAEs. Methods: Using Cox proportional hazards model, we assessed the association between a polygenic risk score for autoimmune disease (PRSAD) and cessation of ICI therapy due to irAEs. All models were adjusted for age at diagnosis, sex, lung cancer histology, type of therapy, recruiting center, and the first 5 principal components. To further understand the differential effects of type of therapy and disease stage on the association between PRSAD and cessation of ICI due to irAEs, we conducted stratified logistic regression analysis by type of ICI therapy and disease stage. Results: We found an association between PRSAD and ICI cessation due to irAEs (HR per SD = 1.18, 95% CI = 1.02 - 1.37, P = 0.03). This association was particularly strong in patients who had ICI cessation due to irAEs within three months of therapy initiation (HR per SD = 1.38, 95% CI = 1.08 - 1.78, P = 0.01). Individuals in the top 20th percentile of PRSAD had 7.2% ICI discontinuation for irAEs by three months, compared to 3.9% discontinuation by three months among patients in the bottom 80th percentile (log-rank P = 0.02). In addition, among patients who received combination PD-1/PD-L1 and CTLA-4 inhibitor therapy, PRSAD had an OR per SD of 1.86 (95% CI = 1.08 - 3.51, P = 0.04). Conclusions: We demonstrate an association between a polygenic risk score for autoimmune disease and early ICI discontinuation for irAEs, particularly among patients treated with combination ICI therapy. Our results suggest that germline genetics may be used as an adjunctive tool for risk stratification around ICI clinical decision-making in solid tumor oncology.

Lineage-dependence of the neuroblastoma surfaceome defines tumor cell state-dependent and independent immunotherapeutic targets.

Background: Neuroblastoma is a heterogeneous disease with adrenergic (ADRN)- and therapy resistant mesenchymal (MES)-like cells driven by distinct transcription factor networks. Here, we investigate the expression of immunotherapeutic targets in each neuroblastoma subtype and propose pan-neuroblastoma and cell state specific targetable cell-surface proteins. Methods: We characterized cell lines, patient-derived xenografts, and patient samples as ADRN-dominant or MES- dominant to define subtype-specific and pan-neuroblastoma gene sets. Targets were validated with ChIP- sequencing, immunoblotting, and flow cytometry in neuroblastoma cell lines and isogenic ADRN-to-MES transition cell line models. Finally, we evaluated the activity of MES-specific agents in vivo and in vitro . Results: Most immunotherapeutic targets being developed for neuroblastoma showed significantly higher expression in the ADRN subtype with limited expression in MES-like tumor cells. In contrast, CD276 (B7-H3) and L1CAM maintained expression across both ADRN and MES states. We identified several receptor tyrosine kinases (RTKs) enriched in MES-dominant samples and showed that AXL targeting with ADCT-601 was potently cytotoxic in MES-dominant cell lines and showed specific anti-tumor activity in a MES cell line-derived xenograft. Conclusions: Immunotherapeutic strategies for neuroblastoma must address the potential of epigenetic downregulation of antigen density as a mechanism for immune evasion. We identified several RTKs as candidate MES-specific immunotherapeutic target proteins for the elimination of therapy-resistant cells. We hypothesize that the phenomena of immune escape will be less likely when targeting pan-neuroblastoma cell surface proteins such as B7-H3 and L1CAM, and/or dual targeting strategies that consider both the ADRN- and MES-cell states. Key Points: Cellular plasticity influences the abundance of immunotherapeutic targets.Subtype-specific targets may be susceptible to epigenetically-mediated downregulation.Immunotherapeutic targets in development, B7-H3 and L1CAM, show "pan-subtype" expression. Importance of Study: Neuroblastoma is a lethal childhood malignancy that shows cellular plasticity in response to anti-cancer therapies. Several plasma membrane proteins are being developed as immunotherapeutic targets in this disease. Here we define which cell surface proteins are susceptible to epigenetically regulated downregulation during an adrenergic to mesenchymal cell state switch and propose immunotherapeutic strategies to anticipate and circumvent acquired immunotherapeutic resistance.

Necrotizing Sarcoid Granulomatosis With Hepatic Involvement and Reversible Noncirrhotic Portal Hypertension.

Necrotizing sarcoid granulomatosis falls within the spectrum of sarcoidosis and is characterized by features of necrosis and granulomatous vasculitis. Like classical sarcoidosis, it can affect numerous organ systems, and there is a wide range of disease activity. Few cases of necrotizing sarcoid granulomatosis have been reported in the liver. We present a case of necrotizing sarcoid granulomatosis associated with noncirrhotic portal hypertension.

Cardiovascular Clinical Trials in the Asia-Pacific Region.

This Viewpoint discusses the potential challenges to the operational conduct of clinical trials in the Asia-Pacific region, where there is a high rate of cardiovascular disease, and provides possible solutions.

Inhalational exposure history is associated with differential sinonasal gene expression profiles and clinical outcomes in chronic rhinosinusitis patients: A pilot study.

KEY POINTS: Inhalational exposure (IE) history assessment is important and may guide chronic rhinosinusitis disease management. Combined exposure status was the most significant factor across differential gene expression analyse IE history was associated with pro-inflammatory transcriptome changes and worse clinical outcomes.

Feasibility of remote monitoring for fatal coronary heart disease using Apple Watch ECGs.

Background: Fatal coronary heart disease (FCHD) is often described as sudden cardiac death (affects >4 million people/year), where coronary artery disease is the only identified condition. Electrocardiographic artificial intelligence (ECG-AI) models for FCHD risk prediction using ECG data from wearable devices could enable wider screening/monitoring efforts. Objectives: To develop a single-lead ECG-based deep learning model for FCHD risk prediction and assess concordance between clinical and Apple Watch ECGs. Methods: An FCHD single-lead ("lead I" from 12-lead ECGs) ECG-AI model was developed using 167,662 ECGs (50,132 patients) from the University of Tennessee Health Sciences Center. Eighty percent of the data (5-fold cross-validation) was used for training and 20% as a holdout. Cox proportional hazards (CPH) models incorporating ECG-AI predictions with age, sex, and race were also developed. The models were tested on paired clinical single-lead and Apple Watch ECGs from 243 St. Jude Lifetime Cohort Study participants. The correlation and concordance of the predictions were assessed using Pearson correlation (R), Spearman correlation (ρ), and Cohen's kappa. Results: The ECG-AI and CPH models resulted in AUC = 0.76 and 0.79, respectively, on the 20% holdout and AUC = 0.85 and 0.87 on the Atrium Health Wake Forest Baptist external validation data. There was moderate-strong positive correlation between predictions (R = 0.74, ρ = 0.67, and κ = 0.58) when tested on the 243 paired ECGs. The clinical (lead I) and Apple Watch predictions led to the same low/high-risk FCHD classification for 99% of the participants. CPH prediction correlation resulted in an R = 0.81, ρ = 0.76, and κ = 0.78. Conclusion: Risk of FCHD can be predicted from single-lead ECGs obtained from wearable devices and are statistically concordant with lead I of a 12-lead ECG.

Novel Insights into Changes in Gene Expression within the Hypothalamus in Two Asthma Mouse Models: A Transcriptomic Lung-Brain Axis Study.

Patients with asthma experience elevated rates of mental illness. However, the molecular links underlying such lung-brain crosstalk remain ambiguous. Hypothalamic dysfunction is observed in many psychiatric disorders, particularly those with an inflammatory component due to many hypothalamic regions being unprotected by the blood-brain barrier. To gain a better insight into such neuropsychiatric sequelae, this study investigated gene expression differences in the hypothalamus following lung inflammation (asthma) induction in mice, using RNA transcriptome profiling. BALB/c mice were challenged with either bacterial lipopolysaccharide (LPS, E. coli) or ovalbumin (OVA) allergens or saline control (n = 7 per group), and lung inflammation was confirmed via histological examination of postmortem lung tissue. The majority of the hypothalamus was micro-dissected, and total RNA was extracted for sequencing. Differential expression analysis identified 31 statistically significant single genes (false discovery rate FDR5%) altered in expression following LPS exposure compared to controls; however, none were significantly changed following OVA treatment, suggesting a milder hypothalamic response. When gene sets were examined, 48 were upregulated and 8 were downregulated in both asthma groups relative to controls. REACTOME enrichment analysis suggests these gene sets are involved in signal transduction metabolism, immune response and neuroplasticity. Interestingly, we identified five altered gene sets directly associated with neurotransmitter signaling. Intriguingly, many of these altered gene sets can influence mental health and or/neuroinflammation in humans. These findings help characterize the links between asthma-induced lung inflammation and the brain and may assist in identifying relevant pathways and therapeutic targets for future intervention.

Clinical utility of investigations in triple-negative thrombocytosis: A real-world, multicentre evaluation of UK practice.

Diagnosis of essential thrombocythaemia (ET) is challenging in patients lacking JAK2/CALR/MPL mutations. In a retrospective evaluation of 320 patients with 'triple-negative thrombocytosis', we assessed utility of bone marrow histology (90.9% of patients) and myeloid gene panel (MGP, 55.6%). Supportive histology ('myeloproliferative neoplasm-definite/probable', 36.8%) was associated with higher platelet counts and varied between centres. 14.6% MGP revealed significant variants: 3.4% JAK2/CALR/MPL and 11.2% other myeloid genes. Final clinical diagnosis was strongly predicted by histology, not MGP. 23.7% received cytoreduction (17.6% under 60 years). Real-world 'triple-negative' ET diagnosis currently depends heavily on histology; we advocate caution in MGP-negative cases and that specific guidelines are needed.

American Rhinologic Society Expert Practice Statement: Indications and Recommendations for Septoplasty in Children.

The goal of this American Rhinologic Society Expert Practice Statement (EPS) is to provide recommendations and guidance through evidence-based consensus statements regarding pediatric septoplasty. This EPS was developed following the previously published methodology and approval process. The topics of interest included appropriate indications, safety and efficacy, timing, relevant quality of life instruments, and surgical techniques. Following a modified Delphi approach, six statements were developed, five of which reached consensus and one that did not. These statements and accompanying evidence are summarized along with an assessment of future needs.

Combining Nuclear Medicine With Other Modalities: Future Prospect for Multimodality Imaging.

This meeting report summarizes a consultants meeting that was held at International Atomic Energy Agency Headquarters, Vienna, in July 2022 to provide an update on the development of multimodality imaging by combining nuclear medicine imaging agents with other nonradioactive molecular probes and/or biomedical imaging techniques.

Improving access to buprenorphine for rural veterans in a learning health care system.

OBJECTIVE: To describe a learning health care system research process designed to increase buprenorphine prescribing for the treatment of opioid use disorder (OUD) in rural primary care settings within U.S. Department of Veterans Affairs (VA) treatment facilities. DATA SOURCES AND STUDY SETTING: Using national administrative data from the VA Corporate Data Warehouse, we identified six rural VA health care systems that had improved their rate of buprenorphine prescribing within primary care from 2015 to 2020 (positive deviants). We conducted qualitative interviews with leaders, clinicians, and staff involved in buprenorphine prescribing within primary care from these sites to inform the design of an implementation strategy. STUDY DESIGN: Qualitative interviews to inform implementation strategy development. DATA COLLECTION/EXTRACTION METHODS: Interviews were audio-recorded, transcribed verbatim, and coded by a primary coder and secondary reviewer. Analysis utilized a mixed inductive/deductive approach. To develop an implementation strategy, we matched clinical needs identified within interviews with resources and strategies participants had utilized to address these needs in their own sites. PRINCIPAL FINDINGS: Interview participants (n = 30) identified key clinical needs and strategies for implementing buprenorphine in rural, primary care settings. Common suggestions included the need for clinical mentorship or a consult service, buprenorphine training, and educational resources. Building upon interview findings and in partnership with a clinical team, we developed an implementation strategy composed of an engaging case-based training, an audit and feedback process, and educational resources (e.g., Buprenorphine Frequently Asked Questions, Rural Care Model Infographic). CONCLUSIONS: We describe a learning health care system research process that leveraged national administrative data, health care provider interviews, and clinical partnership to develop an implementation strategy to encourage buprenorphine prescribing in rural primary care settings.

Integrating Buprenorphine for Opioid Use Disorder into Rural, Primary Care Settings.

BACKGROUND: Medications for opioid use disorder (MOUD) including buprenorphine are effective, but underutilized. Rural patients experience pronounced disparities in access. To reach rural patients, the US Department of Veterans Affairs (VA) has sought to expand buprenorphine prescribing beyond specialty settings and into primary care. OBJECTIVE: Although challenges remain, some rural VA health care systems have begun offering opioid use disorder (OUD) treatment with buprenorphine in primary care. We conducted interviews with clinicians, leaders, and staff within these systems to understand how this outcome had been achieved. DESIGN: Using administrative data from the VA Corporate Data Warehouse (CDW), we identified rural VA health care systems that had improved their rate of primary care-based buprenorphine prescribing over the period 2015-2020. We conducted qualitative interviews (n = 30) with staff involved in implementing or prescribing buprenorphine in these systems to understand the processes that had facilitated implementation. PARTICIPANTS: Clinicians, staff, and leaders embedded within rural VA health care systems located in the Northwest, West, Midwest (2), South, and Northeast. APPROACH: Qualitative interviews were analyzed using a mixed inductive/deductive approach. KEY RESULTS: Interviews revealed the processes through which buprenorphine was integrated into primary care, as well as processes insufficient to enact change. Implementation was often initially catalyzed through a targeted hire. Champions then engaged clinicians and leaders one-on-one to "pitch" the case, describe concordance between buprenorphine prescribing and existing goals, and delineate the supportive role that they could provide. Sites were prepared for implementation by developing new clinical teams and redesigning clinical processes. Each of these processes was made possible with the active, instrumental support of leadership. CONCLUSIONS: Results suggest that rural systems seeking to improve buprenorphine accessibility in primary care may need to alter primary care structures to accommodate buprenorphine prescribing, whether through new hires, team development, or clinical redesign.

The promise of an identity-based self-affirmation intervention in protecting against self-esteem declines at the high school transition.

Given the importance of self-esteem for promoting adolescents' social, psychological, and academic adjustment and the growing importance of social identities during adolescence, this five-wave study examined whether an identity-based self-affirmation intervention attenuated declines in adolescent self-esteem following the high school transition. A sample of ninth graders in the United States (N = 388; Mage = 14.05; 60.6% female; 35.8% male; 3.6% nonbinary, trans, or identifying with another gender; 46% White, 19% Black, 17% Asian, 6% Arab, Middle Eastern, North African, 6% Biracial/Multiethnic, 3% Latinx/Hispanic, and 3% another race/ethnicity) was recruited for the study. Following completion of a baseline online survey assessing self-esteem, participants were assigned to one of three conditions and corresponding writing exercises: identity-based self-affirmation, values-based self-affirmation, or control. Participants completed the same writing exercise during the first three waves of the study, and they completed measures of self-esteem at all five waves. Results indicated that participants in the self-affirmation conditions, but not the control condition, were protected from declining self-esteem across 1 year. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Athlete-Specific Considerations of Cartilage Injuries.

Cartilage injuries can present in a diverse setting of anatomic locations, with varying severity, and can impact athletes of all ages and competition levels. Moreover, the timing of when an injury presents introduces an additional dimension to treatment decision-making. Frequently, the level of competition, in conjunction with career trajectory and short-term and long-term athlete goals, will dictate whether a temporary or definitive treatment strategy is ideal. Although indicating the correct therapeutic regimen may prove challenging, understanding the athlete-specific considerations can be essential to meeting the goals of the athlete and other stakeholders involved in the athlete's career. The purpose of this review is to comprehensively present the deliberations a treating physician must consider in managing cartilage injuries within a spectrum of athletic levels ranging from youth to professional levels, with a secondary focus on the presentation of temporizing treatment strategies and associated outcomes.

Sharing Data from the Human Tumor Atlas Network through Standards, Infrastructure, and Community Engagement.

The Data Coordinating Center (DCC) of the Human Tumor Atlas Network (HTAN) has played a crucial role in enabling the broad sharing and effective utilization of HTAN data within the scientific community. Data from the first phase of HTAN are now available publicly. We describe the diverse datasets and modalities shared, multiple access routes to HTAN assay data and metadata, data standards, technical infrastructure and governance approaches, as well as our approach to sustained community engagement. HTAN data can be accessed via the HTAN Portal, explored in visualization tools-including CellxGene, Minerva, and cBioPortal-and analyzed in the cloud through the NCI Cancer Research Data Commons nodes. We have developed a streamlined infrastructure to ingest and disseminate data by leveraging the Synapse platform. Taken together, the HTAN DCC's approach demonstrates a successful model for coordinating, standardizing, and disseminating complex cancer research data via multiple resources in the cancer data ecosystem, offering valuable insights for similar consortia, and researchers looking to leverage HTAN data.

Evidence From the USPSTF and New Approaches to Evaluate Interventions to Prevent Child Maltreatment.

Importance: The United States Preventive Services Task Force (USPSTF) has considered the topic of prevention of child maltreatment multiple times over its nearly 40-year history, each time reaching the conclusion that the evidence is insufficient to recommend for or against interventions aimed at preventing this important health problem with significant negative sequelae before it occurs. In the most recent evidence review, which was conducted from August 2021 to November 2023 and published in March 2024, the USPSTF considered contextual questions on the evidence for bias in reporting and diagnosis of maltreatment in addition to key questions regarding effectiveness of interventions to prevent child maltreatment. Observations: A comprehensive literature review found evidence of inaccuracies in risk assessment and racial and ethnic bias in the reporting of child maltreatment and in the evaluation of injuries concerning for maltreatment, such as skull fractures. When children are incorrectly identified as being maltreated, harms, such as unnecessary family separation, may occur. Conversely, when children who are being maltreated are missed, harms, such as ongoing injury to the child, continue. Interventions focusing primarily on preventing child maltreatment did not demonstrate consistent benefit or information was insufficient. Additionally, the interventions may expose children to the risk of harm as a result of these inaccuracies and biases in reporting and evaluation. These inaccuracies and biases also complicate assessment of the evidence for making clinical prevention guidelines. Conclusions and Relevance: There are several potential strategies for consideration in future efforts to evaluate interventions aimed at the prevention of child maltreatment while minimizing the risk of exposing children to known biases in reporting and diagnosis. Promising strategies to explore might include a broader array of outcome measures for addressing child well-being, using population-level metrics for child maltreatment, and assessments of policy-level interventions aimed at improving child and family well-being. These future considerations for research in addressing child maltreatment complement the USPSTF's research considerations on this topic. Both can serve as guides to researchers seeking to study the ways in which we can help all children thrive.

Slaying the Serpent: A Research Agenda to Expand Intervention Development and Accelerate Guinea Worm Eradication Efforts.

Dracunculiasis, also known as Guinea worm disease, is targeted to become the second human disease and first parasitic infection to be eradicated. The global Guinea Worm Eradication Program (GWEP), through community-based interventions, reduced the burden of disease from an estimated 3.5 million cases per year in 1986 to only 13 human cases in 2022. Despite progress, in 2012 Guinea worm disease was detected in domesticated dogs and later in domesticated cats and baboons. Without previous development of any Guinea worm therapeutics, diagnostic tests to detect pre-patent Guinea worm infection, or environmental surveillance tools, the emergence of Guinea worm disease in animal hosts-a threat to eradication-motivated an assessment of evidence gaps and research opportunities. This gap analysis informed the refinement of a robust research agenda intended to generate new evidence and identify additional tools for national GWEPs and to better align the global GWEP with a 2030 Guinea worm eradication certification target. This paper outlines the rationale for the development and expansion of the global GWEP Research Agenda and summarizes the results of the gap analysis that was conducted to identify Guinea worm-related research needs and opportunities. We describe five work streams informed by the research gap analysis that underpin the GWEP Research Agenda and address eradication endgame challenges through the employment of a systems-informed One Health approach. We also discuss the infrastructure in place to disseminate new evidence and monitor research results as well as plans for the continual review of evidence and research priorities.

Factors Influencing Community Engagement during Guinea Worm and Polio Eradication Endgames in Chad: Recommendations for "Last Mile" Programming.

Community engagement is a strategy commonly used in health and development programming. Many disease eradication programs engage with communities through different structures and mechanisms to detect, report, contain, and respond to the diseases they target. Qualitative operational research was conducted in a district of Chad co-endemic for both dracunculiasis (i.e., Guinea worm disease) and circulating vaccine-derived poliovirus to reveal factors influencing community engagement behavior in the context of eradication-related programming. Women and men from six communities and stakeholders from the local, district, and central levels were recruited to participate in focus group discussions and semi-structured in-depth interviews. A thematic analysis was performed to identify barriers and facilitators of community engagement. Barriers to community engagement included mistrust in exogenously established health program initiatives (i.e., initiatives designed by partners external to targeted program communities) resulting from negative past experiences with external entities and community groups and the lure of profit-motivating community engagement. Subgroup and intersectionality analyses revealed that gender and other identities influence whether and to what extent certain members of the community engage in a meaningful way. Facilitators of community engagement included leadership and the influence of authorities and leaders in community participation, perceived benefits of being engaged with community-based initiatives, and use of incentives to enhance community participation. Study findings may be used to inform the refinement of community engagement approaches in Chad and learning agendas for other "last mile" disease eradication programs.