Citations

Abstract Background and Aims Accurate differentiation of cardiac amyloidosis (CA) from phenotypic mimics remains challenging using current clinical and echocardiographic techniques. The accuracy of a novel artificial intelligence (AI) screening algorithm for echocardiography-based CA detection was assessed. Methods Utilizing a multisite, multiethnic dataset (n = 2612, 52% CA), a convolutional neural network was trained to differentiate CA from phenotypic controls using transthoracic apical four-chamber video clips. External validation was conducted globally across 18 sites including 597 CA cases and 2122 controls. Classification accuracy was assessed on the entire external validation dataset, and subgroup analyses were performed both on technetium pyrophosphate scintigraphy referrals, and individuals matched for age, sex, and wall thickness. Model accuracy was also compared with the transthyretin CA score and the increased wall thickness score within a subset of older heart failure with preserved ejection fraction patients with increased wall thickness. Results Cardiac amyloidosis patients and controls displayed similar age, sex, race, and comorbidities. After the removal of uncertain AI predictions (13%), model discrimination and classification were excellent for the entire external validation dataset [area under the receiver operating characteristic curve (AUROC) 0.93, sensitivity 85%, specificity 93%], irrespective of CA subtype (sensitivity: light-chain = 84%, wild-type transthyretin = 85%, and hereditary transthyretin = 86%). Performance was maintained in subgroup analysis in patients clinically referred for technetium pyrophosphate scintigraphy imaging (AUROC 0.86, sensitivity 77%, specificity 86%) and matched patients (AUROC 0.92, sensitivity 84%, specificity 91%). The AI model (AUROC 0.93) also outperformed transthyretin CA score (AUROC 0.73) and increased wall thickness (AUROC 0.80) scores. Conclusions This AI screening model—using only an apical four-chamber view—effectively differentiated CA from other causes of increased left ventricular wall thickness.

» Fibrodysplasia ossificans progressiva (FOP), the most severe form of heterotopic ossification (HO) in humans, may lead to severe thoracic deformity (TD) and thoracic insufficiency syndrome (TIS), the most common cause of mortality in individuals with FOP. » In this study, we examine the multiple causes of TD in FOP and propose a dynamic model for the development and evolution of TD that can be used to guide clinical care. This model posits that multiple factors, all originating from the causative gain-of-function mutation in activin receptor A, type 1, lead to TD in FOP. » Factors that lead to TD in FOP include early developmental costovertebral and facet joint arthropathy and joint ankylosis, progressive episodic flare-ups (both trauma induced or spontaneous) and subsequent HO, dysregulated soft tissue sensitivity to mechanical stimuli, growth plate dysregulation, and congenital rib fusions. These factors contribute to TD in FOP through a combination of intra-articular and extra-articular mechanisms, all amplified by growth. » Although FOP is a rare condition, it is illustrative of how a mutation in a critical receptor in the bone morphogenetic protein signaling pathway can cause a litany of musculoskeletal dysfunction that can lead to life-threatening consequences. Clinicians caring for individuals who have FOP must be aware of the occurrence, evolution, and implications of progressive TD and resultant TIS so that appropriate preventive measures such as avoidance of pulmonary infections, incentive spirometry, and diaphragmatic strengthening can be instituted.

Abstract Purpose While immunotherapy has transformed treatment in multiple solid tumors, its efficacy in high-grade glioma remains limited. Understanding the molecular and clinical factors that influence glioma’s response to immunotherapy is essential to improving outcomes. Methods We identified patients with recurrent glioblastoma or astrocytoma, IDH-mutant grade 4, who had been treated with checkpoint inhibitor (CPI), virus therapy, or cell therapy and determined the association between their molecular, clinical, and demographic characteristics and survival outcomes. Results We identified 66 patients, 57 glioblastoma and 9 astrocytoma, IDH-mutant grade 4; 38 were treated with CPI, 22 with virus therapy, and 6 with cell therapy. PIK3CA mutation was associated with shorter PFS and OS (p = 0.022, 0.073, respectively) among all patients and a shorter OS among CPI-treated patients (p = 0.004). Tumor tissue without the mutation had less PD-1 expression in CD3+/CD8 + T cells. In CPI-treated patients, IDH1/2 mutation was associated with a shorter OS (p = 0.002), and mutations in RB1 and TERT promoter were associated with a shorter PFS (p-value = 0.00056, 0.022, respectively). Length of CPI therapy of more than 6 months was associated with increased PFS and OS (p = 0.048, 0.062, respectively), while steroid use at baseline was associated with a shorter OS (p = 0.00023). Multifocal disease was associated with shorter PFS and OS durations (p = 0.0017, 0.0013, respectively) among all patients. Conclusions In high-grade glioma, PIK3CA, IDH1/2, RB1, and TERT promoter mutations may be associated with a poor response to immunotherapy. Our results may provide the rationale for clinical trials combining PI3K and IDH inhibitors with CPI in high-grade glioma.

Introduction: Online self-triage/symptom checkers are a relatively new e-Health modality. We aimed to evaluate the degree to which patient’s chosen symptom during the use of an online self-triage tool was congruent with that chosen by a nurse performing phone triage. Methods: Patient encounters from September 1, 2022, to September 30, 2023, were reviewed for patients who completed both online self-triage and a subsequent nursing phone triage within 24 hours. The symptoms chosen by the patient for their self-triage encounter and the symptoms chosen by the nurse during the subsequent nurse triage were reviewed. The symptoms chosen in these two triage encounters were then compared for congruency. A subset of our database was evaluated for congruency between the self-triage and the nurse phone triage endpoint recommendations. Results: There were 5,443 encounters meeting inclusion criteria to study for congruency between self-triage and nurse triage symptom choice. The range of time between self-triage and nurse triage ranged from 0 min to 1,439 min (23.9 hours) with a median of 23 minutes between self and nurse triage encounters. Symptom congruency between the two methods found 74.2% (4,038) to be completely congruent while 989 (18.2%) were somewhat congruent. Only 7.6% (416) had no apparent congruency. Out of 1,705 self and nurse triage dyads eligible for study for agreement between endpoint recommendations, 244 (14.3%) were under-triaged, 1,110 (65.1%) were triaged to the same level of care and 351 (20.6%) were over-triaged. Conclusion: Congruency between symptoms chosen by the patient for triage and nurse triage were highly congruent with only 7.6% of the sample showing no apparent congruency between the self-triage symptom and the nurse triage symptom. When compared to nurse triage, most self-triage endpoint recommendations were either triaged to the same level of care or were over-triaged to a higher level of care.

Abstract Background: Chimeric antigen receptor T-cell (CAR T) therapies have demonstrated significant clinical efficacy in hematologic malignancies, but have proven challenging in solid tumors, in part owing to a lack of tumor-specific targets and unmanageable toxicity. Mesothelin (MSLN) expression normally is limited to the mesothelium of major body cavities but can be upregulated in diverse solid tumor types (cancer.gov/tcga), making it a potential target for cancer therapy. MSLN-targeted cell therapy approaches, including CAR T and T-cell receptor fusion therapies, have shown promising clinical activity; however, on-target, off-tumor toxicity including fatal events have occurred (Beatty, et al. Gastroenterology. 2018.; Haas, et al. Mol Ther. 2023.; Hong, et al. ESMO 2021. Abstract 9590.). A2B694 is an autologous logic-gated, MSLN-targeted Tmod CAR T therapy that addresses the challenges of on-target, off-tumor toxicity by combining 2 CARs: an activating and blocking receptor. The activator recognizes MSLN present on the surface of both tumor and normal cells; the blocker inhibits the CAR T activator when it binds human leukocyte antigen (HLA)-A*02, which is present in normal cells and often lost in tumor cells. Thus, in patients with tumor-associated HLA-A*02 loss of heterozygosity (LOH), the blocker prevents on-target, off-tumor toxicity on normal cells owing to retained HLA-A*02 expression (Hamburger, et al. Mol Immunol. 2020). Through this unique selective mechanism, A2B694 may provide a therapeutic window to treat patients with MSLN-expressing solid tumors exhibiting HLA-A*02 LOH. Methods: EVEREST-2 (NCT06051695) is a first-in-human, phase 1/2, open-label, nonrandomized study to evaluate the safety and efficacy of A2B694 in adults with recurrent unresectable, locally advanced, or metastatic cancers with MSLN expression, including non-small cell lung cancer, colorectal cancer, pancreatic cancer, ovarian cancer, mesothelioma, or other solid tumors with MSLN expression. Eligible patients must have progressed following standard of care therapy. Enrollment to EVEREST-2 occurs through the prescreening study BASECAMP-1 (NCT04981119), which identifies patients with tumor-associated HLA-A*02 LOH via next-generation sequencing (Tempus AI, Inc). Eligible patients enroll in the BASECAMP-1 study and undergo leukapheresis. A2B694 is manufactured from cryopreserved T cells when clinically appropriate for patients. The primary objective of phase 1 is to evaluate the safety and tolerability of A2B694 and identify the recommended phase 2 dose (RP2D). The dose-expansion phase will confirm RP2D and collect biomarker data to further characterize A2B694. Phase 2 will assess overall response rate per RECIST v1.1. The first patient was enrolled on EVEREST-2 in April 2024. Dose escalation is ongoing. Citation Format: Julian R. Molina, Antonious Hazim, Oliver Dorigo, Salman R. Punekar, Monica Avila, Diane M. Simeone, Kedar Kirtane, Gottfried E. Konecny, Jeffrey Ward, Matthew Block, Jennifer Specht, Leslie Boyd, Yanyan Lou, Jong Chul Park, Jacqueline D. Xuan, Ramez N. Eskander, Gayanie Ong, Marco Davila, Wendy Langeberg, Marcela Maus, Armen Mardiros, Frederick L. Locke, Andrea Wise, David G. Maloney, John Welch, J. Randolph Hecht. EVEREST-2: A seamless phase 1/2 study of A2B694, a logic-gated Tmod CAR T-cell therapy, in patients with mesothelin-expressing solid tumors with human leukocyte antigen-A*02 loss of heterozygosity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_2):Abstract nr CT186.

Abstract Introduction: With over 80, 000 new cases of non-Hodgkin's lymphoma (NHL) diagnosed annually, modifiable risk factors remain unclear. Circadian disruption, linked to cancers like breast and prostate, affects immune cells (e.g., natural killer cells and T-helper cells) by altering their trafficking and proliferation. Some studies (PMID: 30566672, 27611440) suggest long sleep may increase overall NHL risk, including a Mendelian randomization (MR) study (PMID: 32895918). However, no research has examined the causal relationship between sleep traits, including long sleep, and NHL risk, by subtypes. We hypothesize that sleep traits are causally associated with NHL subtypes in European populations, testing this using MR with data from the International Lymphoma Epidemiology Consortium (InterLymph). Methods: We conducted two-sample MR using genome-wide association studies (GWAS) summary data for sleep traits and NHL subtypes. Only independent, genome-wide significant (p < 5×10-8) Single Nucleotide Polymorphisms (SNPs) were selected as valid instruments, sourced from the UK Biobank. Sleep traits included chronotype (153 SNPs), insomnia (48 SNPs), sleep duration (78 SNPs), excessive daytime sleepiness (37 SNPs), short sleep (27 SNPs), and long sleep (8 SNPs). NHL subtype data were from InterLymph: follicular lymphoma (6, 508 cases / 64, 183 controls), mantle cell lymphoma (1, 169 cases / 61, 603 controls), Waldenstrom macroglobulinemia/lymphoplasmacytic lymphoma (WM/LPL: 1, 697 cases / 59, 333 controls), and chronic lymphocytic leukemia (8, 522 cases / 67, 653 controls). The primary analysis used inverse-variance weighted (IVW) random-effects, with MR-Egger for pleiotropy adjustment. Results: Using the IVW method, we did not identify any statistically significant causal association between sleep traits and the risk of NHL subtypes, but did yield several intriguing trends. Long sleep (sleep duration >= 9 h per night) showed a marginally increased NHL risk [Odds ratio (OR) range: 1.51 - 247.9] across each subtype. Short sleep (sleep duration < 7 h per night) showed a similar trend [OR range: 1.25 - 1.81], except for WM/LPL, where we noticed a negative trend. The confidence limit for long sleep was imprecise due to the small number of variants. We did not notice any significant directional horizontal pleiotropy or weak instrument bias. Conclusions: We found no conclusive evidence of a relationship between sleep traits and four NHL subtypes. However, we see suggestive trends of long and short sleep associated with higher risk of some NHL subtypes. These findings align with the previous studies, which showed long sleep was associated with higher risk of NHL overall. Future directions include expanding our analysis to additional NHL subtypes, generating polygenic risk scores, and conducting stratified analyses. Citation Format: Pankhil Shah, Brittany Crawford, Anwar Merchant, Brenda Birmann, Angelica Macauda, Michelle A. Hildebrandt, Aaron Norman, Neil E. Caporaso, Meredith Yeager, Michael Dean, Immaculata De Vivo, Lynn Goldin, Nicola J. Camp, Rosalie Griffin, Delphine Casabonne, Federico Canzian, Pelin Unal, Elad Ziv, Catherine R. Marinac, Alexandra Nieters, Stephen J. Chanock, Mitchell J. Machiela, Michael Conry, Charlie Zhong, Hanla A. Park, Simon Cheah, Jonathan N. Hofmann, Elizabeth E. Brown, Celine Vachon, Susan Slager, Sonja Berndt, Sophia S. Wang, Vijai Joseph, James McKay, Henrik Hjalgrim, Lara Sucheston-Campbell, Karl Smith-Byrne, Alyssa Clay-Gilmour. Association between sleep traits and risk of non-Hodgkin's lymphoma subtypes: a mendelian randomization study in the International Lymphoma Epidemiology (InterLymph) Consortium [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 7415.

Abstract Aims To evaluate whether the effect of inclisiran to lower LDL-C varied by background lipid-lowering therapy (LLT). Methods and results In ORION-10 and ORION-11 Phase 3 trials, patients (N = 3178) with atherosclerotic cardiovascular disease (ASCVD) or ASCVD risk equivalents were randomized 1:1 to receive inclisiran or placebo on Day 1, Day 90, and 6-monthly thereafter. In this pooled post hoc analysis, patients were stratified by baseline combination therapy [statin plus ezetimibe (n = 214; 6.7%)], monotherapy [statin (n = 2711; 85.3%) or ezetimibe (n = 54; 1.7%)], or neither LLT [none (n = 199; 6.3%)] into therapy groups with/without other LLT. Stratification by baseline statin intensity was also performed (N = 3155). Relative and absolute changes in LDL-C were assessed. Mean (±SD) baseline LDL-C was 2.7 mmol/L (±1.0), 2.6 mmol/L (±0.9), 3.7 mmol/L (±1.7), and 4.1 mmol/L (±1.5) among patients receiving combination, statin, ezetimibe, or neither LLT, respectively. In these categories, mean (95% confidence interval) time-adjusted, placebo-corrected percentage change in LDL-C after Day 90 to Day 540 with inclisiran were −57.0% (−63.8, −50.1), −51.5.% (−53.4, −49.7), −50.5.% (−59.6, −41.5), and −43.1% (−48.7, −37.6); corresponding absolute changes were −1.5 mmol/L (−1.7, −1.3), −1.3 mmol/L (−1.4, −1.3), −1.7 mmol/L (−2.0, −1.4), and −1.7 mmol/L (−1.9, −1.5). Conclusion Sustained and effective LDL-C lowering with inclisiran was observed irrespective of background LLT treatment. Inclisiran was overall well tolerated with all background LLT treatments, consistent with its established safety profile.

Abstract Purpose/Background Clozapine was approved in the United States (US) using 1989 regulations and knowledge. After 30 years, many sections of the US package insert (PI) are outdated. Methods We comprehensively reviewed the literature to propose PI updates. We present the information in 2 articles. In Part I, we focus on basic pharmacology based on 407 relevant articles. Part II focuses on clinical aspects and pharmacovigilance. Findings/Results Based on more recent expectations of Food and Drug Administration regulations, we reviewed clozapine basic pharmacology including the following: 1) clearance, 2) pharmacokinetics and pharmacodynamics, and 3) monitoring tools. We identified 9 major problems in the basic pharmacological sections of the PI including the following: 1) in vivo studies indicate that clozapine is dependent on CYP1A2 for its metabolism, 2) the minor role of CYP2D6 in clozapine metabolism requires removing the PI recommendation to lower clozapine doses in CYP2D6 poor metabolizers, 3) in nontoxic concentrations CYP3A4 has a minor role in clozapine metabolism and potent CYP3A4 inhibitors lack clinically relevant effects, 4) several drug-drug interactions need to be updated based on recent literature, 5) systemic inflammation may decrease clozapine metabolism and increase the risk of clozapine intoxication, 6) obesity may decrease clozapine metabolism, 7) patients of Asian and Indigenous American ancestry need lower clozapine doses, 8) personalized titration and c-reactive protein monitoring should be considered until prospective studies are available, and 9) the half-life section needs to be modified to acknowledge that single dosing at night is frequent in the US. Implications/Conclusions An improvement in the US clozapine PI may lead to improvement in PIs worldwide.

Abstract Purpose/Background This is the second part of a 2-part article that proposes improving the United States (US) clozapine package insert. Part II focuses on fatal outcomes and the 5 boxed warnings, 4 specifically for clozapine: severe neutropenia, seizure, orthostatic hypotension and myocarditis, and 1 for all antipsychotics (elderly with dementia). Methods US reports to the World Health Organization's global pharmacovigilance database were analyzed from clozapine's introduction to January 15, 2023. Findings/Results The US was the top reporter worldwide for clozapine with 56,003 reports and 9587 associated fatal outcomes. The 4 clozapine boxed warnings were associated with 534 fatal outcomes (218 with severe neutropenia, 131 with seizures, 125 with orthostasis, 36 with myocarditis, 24 with cardiomyopathy, and 0 with mitral valve prolapse). With no boxed warnings, pneumonia was associated with 674 fatal outcomes and increased white blood cell count (a sign of infection) with 596 fatal outcomes. After considering overlaps, pneumonia and increases in white blood cell count explained 900 fatalities, or 9.4% of 9587 fatal outcomes. The Food and Drug Administration continues to focus on severe neutropenia which was associated with only 218 or 2.3% of fatal outcomes, whereas 97.7% of fatal outcomes reported in US clozapine-treated patients had another cause. Implications/Conclusions To help prevent future deaths in clozapine-treated patients, the clozapine package insert should focus on fatal outcomes during infections. Part II offers detailed solutions regarding current boxed warnings and lack of a warning for pneumonia and other infections. The Supplementary Material includes letters of support from 124 non-US clozapine experts from 44 countries/regions who support Parts I and II.