Citations

Moderate traumatic brain injury (TBI) is a diagnosis that describes diverse patients with heterogeneity of primary injuries. Defined by a Glasgow Coma Scale between 9 and 12, this category includes patients who may neurologically worsen and require increasing intensive care resources and/or emergency neurosurgery. Despite the unique characteristics of these patients, there have not been specific guidelines published before this effort to support decision-making in these patients. A Delphi consensus group from the Latin American Brain Injury Consortium was established to generate recommendations related to the definition and categorization of moderate TBI. Before an in-person meeting, a systematic review of the literature was performed identifying evidence relevant to planned topics. Blinded voting assessed support for each recommendation. A priori the threshold for consensus was set at 80% agreement. Nine PICOT questions were generated by the panel, including definition, categorization, grouping, and diagnosis of moderate TBI. Here, we report the results of our work including relevant consensus statements and discussion for each question. Moderate TBI is an entity for which there is little published evidence available supporting definition, diagnosis, and management. Recommendations based on experts' opinion were informed by available evidence and aim to refine the definition and categorization of moderate TBI. Further studies evaluating the impact of these recommendations will be required.

Abstract Pancreatic ductal adenocarcinoma (PDAC), the most common histological subtype of pancreatic cancer, is a devastating disease predicted to be the second leading cause of cancer deaths in the next 15 years. Thus, there is an urgent need to develop new treatment approaches based on a better understanding of cellular and molecular mechanisms controlling this dismal progression. PDAC development is marked by nuclear morphological changes likely resulting in changes in chromatin organization and gene expression. Oncogenic KRAS, present in more than 90% of tumors, plays a key role in disease initiation and progression and is sufficient to induce these nuclear morphology changes. Work from our lab has identified the nuclear lamina protein Emerin as a mediator of KRAS-induced nuclear morphology changes. Further, a BioID experiment identified a KRAS-induced interaction of Emerin with a group of nuclear kinases belonging to the ribosomal S6 kinase (RSK) and mitogen- and stress- activated protein kinase (MSK) families. In silico analysis identified candidate MSK and RSK phosphorylation sites in Emerin. Thus, we hypothesize that the nuclear kinase families RSK and MSK can act as effectors of the KRAS-Emerin axis to regulate PDAC nuclear morphology. Further studies will be done to confirm if Emerin can be phosphorylated by RSK and MSK, and to validate that this relationship is dependent on oncogenic KRAS signaling and if its nuclear morphological changes are regulated by this GTPase. Overall, this work aims to define a novel signaling axis for RSK and MSK in controlling nuclear dynamics that play a role in disease progression of PDAC, which can lead to the identification of new therapeutic targets. Citation Format: Kayla LaRue, Ashley Sigafoos, Luis Flores, Brooke Tader, Martin Fernandez-Zapico. The role of nuclear kinases in pancreatic carcinogenesis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3154.

Abstract A big challenge in oncology is tumor heterogeneity, as the same type of tumor can manifest differently across patients. Our current cancer therapies focus on targeting malignant cells without considering how the tumor microenvironment influence tumorigenesis or changes in response to treatment. Therefore, identifying effective therapies that restrict tumor growth and progression while restoring optimal tissue and organ function is imperative. Here, we propose a potential strategy to delay the frequency of lung tumorigenesis and reduce progression by selectively targeting tumor-promoting senescent cells that arise with advancing age, prolonging antitumor immunity. Using lung tumor-prone mice, we found that senescent cells, specifically senescent alveolar macrophages, accumulate early in hyperplastic lesions. Mechanistically, these macrophages upregulate the cell cycle regulator p16Ink4a; express the cell surface protein CXCR1; they are distinct from other established subsets; are sensitive to senolytic interventions; have a tumor-promoting secretome, including SPP1; and express immunosuppressive factors that modulate the antitumor immune response. Selective clearance of senescent macrophages attenuates adenoma development, indicating they, at least in part, promote tumorigenesis. Importantly, we observed alveolar macrophages with these properties accumulating in treatment-naive human early-stage lung adenocarcinoma in situ, indicating that the cellular senescence program in macrophages is a conserved etiology. We also found that senescent alveolar macrophages accumulate in otherwise naturally aged normal mouse lungs and their persistence correlates with increased inflammation. Collectively, our findings suggest that targeting senescent macrophages may constitute a potential therapeutic intervention to postpone or attenuate lung cancer during the early stages of the disease. Citation Format: Luis I. Prieto. Senescent macrophages drive tumorigenesis by limiting antitumor immunity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2972.

AbstractRacial disparities affect multiple dimensions of epilepsy care including epilepsy surgery. This study aims to further explore these disparities by determining the utilization of invasive neuromodulation devices according to race and ethnicity in a multicenter study of patients living with focal drug‐resistant epilepsy (DRE). We performed a post hoc analysis of the Human Epilepsy Project 2 (HEP2) data. HEP2 is a prospective study of patients living with focal DRE involving 10 sites distributed across the United States. There were no statistical differences in the racial distribution of the study population compared to the US population using census data except for patients reporting more than one race. Of 154 patients enrolled in HEP2, 55 (36%) underwent invasive neuromodulation for DRE management at some point in the course of their epilepsy. Of those, 36 (71%) were patients who identified as White. Patients were significantly less likely to have a device if they identified solely as Black/African American than if they did not (odds ratio = .21, 95% confidence interval = .05–.96, p = .03). Invasive neuromodulation for management of DRE is underutilized in the Black/African American population, indicating a new facet of racial disparities in epilepsy care.

Abstract Background Long‐term outcomes of sterile lead management strategies of lead abandonment (LA) or transvenous lead extraction (TLE) remain unclear. Methods We performed a retrospective study of a population residing in southeastern Minnesota with follow‐up at the Mayo Clinic and its health systems. Patients who underwent LA or TLE of sterile leads from January 1, 2000, to January 1, 2011, and had follow‐up for at least 10 years or until their death were included. Results A total of 172 patients were included in the study with 153 patients who underwent LA and 19 who underwent TLE for sterile leads. Indications for subsequent lead extraction arose in 9.1% ( n = 14) of patients with initial LA and 5.3% ( n = 1) in patients with initial TLE, after an average of 7 years. Moreover, 28.6% of patients in the LA cohort who required subsequent extraction did not proceed with the extraction, and among those who proceeded, 60% had clinical success and 40% had a clinical failure. Subsequent device upgrades or revisions were performed in 18.3% of patients in the LA group and 31.6% in the TLE group, with no significant differences in procedural challenges (5.2% vs. 5.3%). There was no difference in 10‐year survival probability among the LA group and the TLE group ( p = .64). Conclusion An initial lead abandonment strategy was associated with more complicated subsequent extraction procedures compared to patients with an initial transvenous lead extraction strategy. However, there was no difference in 10‐year survival probability between both lead management approaches.

Background Rilonacept, a once‐weekly interleukin‐1 alpha and beta cytokine trap, reduced pericarditis recurrence in the phase 3 study, RHAPSODY (Rilonacept Inhibition of Interleukin‐1 Alpha and Beta for Recurrent Pericarditis: A Pivotal Symptomatology and Outcomes Study). The RHAPSODY long‐term extension further explored recurrent pericarditis natural history and treatment duration decision‐making during 24 additional months of open‐label rilonacept treatment. Methods and Results Seventy‐four patients commenced the long‐term extension, with a median (maximum) total rilonacept duration of 22 (35) months. Individually, 18 months after the most proximal pericarditis recurrence, investigators decided to continue rilonacept on study, suspend rilonacept for off‐treatment observation (rescue allowed), or discontinue the study. The annualized incidence of pericarditis recurrence on rilonacept up to the 18‐month decision milestone was 0.04 events/patient‐year versus 4.4 events/patient‐year prestudy while on oral therapies. At the 18‐month decision milestone, 64% (33/52) continued rilonacept, 15% (8/52) suspended rilonacept for observation, and 21% (11/52) discontinued the study. Among the 33 patients (1/33; 3.0%) continuing rilonacept (median time to recurrence could not be estimated due to too few events), a single recurrence occurred 4 weeks after a treatment interruption. Among patients suspending rilonacept, 75% (6/8) experienced recurrence (median time to recurrence, 11.8 weeks [95% CI, 3.7 weeks to not estimable]). There was a 98% reduction in risk of pericarditis recurrence among patients continuing rilonacept treatment after the 18‐month decision milestone versus those suspending treatment for observation (hazard ratio, 0.02; P <0.0001). Conclusions In the RHAPSODY long‐term extension, continued rilonacept treatment resulted in continued response; treatment suspension at the 18‐month decision milestone was associated with pericarditis recurrence. Registration URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03737110.

Abstract Grouping gene expression into gene set activity scores (GSAS) provides better biological insights than studying individual genes. However, existing gene set projection methods cannot return representative, robust, and interpretable GSAS. We developed NetActivity, a machine learning framework that generates GSAS based on a sparsely-connected autoencoder, where each neuron in the inner layer represents a gene set. We proposed a three-tier training that yielded representative, robust, and interpretable GSAS. NetActivity model was trained with 1518 GO biological processes terms and KEGG pathways and all GTEx samples. NetActivity generates GSAS robust to the initialization parameters and representative of the original transcriptome, and assigned higher importance to more biologically relevant genes. Moreover, NetActivity returns GSAS with a more consistent definition and higher interpretability than GSVA and hipathia, state-of-the-art gene set projection methods. Finally, NetActivity enables combining bulk RNA-seq and microarray datasets in a meta-analysis of prostate cancer progression, highlighting gene sets related to cell division, key for disease progression. When applied to metastatic prostate cancer, gene sets associated with cancer progression were also altered due to drug resistance, while a classical enrichment analysis identified gene sets irrelevant to the phenotype. NetActivity is publicly available in Bioconductor and GitHub.

Abstract Aims Cardiac amyloidosis (CA) is common in patients with severe aortic stenosis (AS) undergoing transcatheter aortic valve replacement (TAVR). Cardiac amyloidosis has poor outcomes, and its assessment in all TAVR patients is costly and challenging. Electrocardiogram (ECG) artificial intelligence (AI) algorithms that screen for CA may be useful to identify at-risk patients. Methods and results In this retrospective analysis of our institutional National Cardiovascular Disease Registry (NCDR)-TAVR database, patients undergoing TAVR between January 2012 and December 2018 were included. Pre-TAVR CA probability was analysed by an ECG AI predictive model, with &gt;50% risk defined as high probability for CA. Univariable and propensity score covariate adjustment analyses using Cox regression were performed to compare clinical outcomes between patients with high CA probability vs. those with low probability at 1-year follow-up after TAVR. Of 1426 patients who underwent TAVR (mean age 81.0 ± 8.5 years, 57.6% male), 349 (24.4%) had high CA probability on pre-procedure ECG. Only 17 (1.2%) had a clinical diagnosis of CA. After multivariable adjustment, high probability of CA by ECG AI algorithm was significantly associated with increased all-cause mortality [hazard ratio (HR) 1.40, 95% confidence interval (CI) 1.01–1.96, P = 0.046] and higher rates of major adverse cardiovascular events (transient ischaemic attack (TIA)/stroke, myocardial infarction, and heart failure hospitalizations] (HR 1.36, 95% CI 1.01–1.82, P = 0.041), driven primarily by heart failure hospitalizations (HR 1.58, 95% CI 1.13–2.20, P = 0.008) at 1-year follow-up. There were no significant differences in TIA/stroke or myocardial infarction. Conclusion Artificial intelligence applied to pre-TAVR ECGs identifies a subgroup at higher risk of clinical events. These targeted patients may benefit from further diagnostic evaluation for CA.