Citations

ABSTRACT Background This exploratory analysis of the NEURO‐TTRansform Phase 3 trial evaluated the efficacy of eplontersen in patients with hereditary transthyretin (ATTRv) amyloidosis with polyneuropathy by genetic variant. Methods Changes from baseline in NEURO‐TTRansform primary endpoints serum transthyretin (TTR) at Week 65, modified Neuropathy Impairment Score+7 (mNIS+7) composite score, and Norfolk Quality of Life‐Diabetic Neuropathy (Norfolk QoL‐DN) total score at Week 66 were evaluated in patients with early‐onset (aged < 50 years) and late‐onset (aged ≥ 50 years) Val30Met (p.Val50Met) or non‐Val30Met ATTRv amyloidosis with polyneuropathy. Secondary endpoints from NEURO‐TTRansform were also evaluated by genetic variant. Results In total, 144 patients with early‐onset ( n = 54) or late‐onset ( n = 31) Val30Met or non‐Val30Met ( n = 59), ATTRv amyloidosis with polyneuropathy were randomized to eplontersen. A further 60 patients from NEURO‐TTR with early‐onset ( n = 16) or late‐onset ( n = 17) Val30Met or non‐Val30Met ( n = 27), served as a historical placebo group. The mean percentage difference (95% confidence interval) in serum TTR was −79.9 (−87.8, −72.0), −85.0 (−93.3, −76.6), and −70.6 (−77.7, −63.5) with eplontersen versus placebo in the early‐ and late‐onset Val30Met, and non‐Val30Met groups, respectively. Across subgroups, the change from baseline to Week 66 in mNIS+7 composite score was generally well maintained, and the Norfolk QoL‐DN total score improved with eplontersen versus worsening with placebo. The Polyneuropathy Disability score was maintained in most patients. From baseline to Week 65, the modified body mass index was maintained with eplontersen compared to a marked reduction (worsening) for placebo. Conclusions Findings were suggestive of consistent benefits in reducing neuropathy impairment and improving QoL with eplontersen versus historical placebo, across TTR variants. Trial Registration ClinicalTrials.gov: NCT04136184, NCT01737398

PURPOSE Chronic myelomonocytic leukemia (CMML) is a rare myeloid neoplasm characterized by clinical heterogeneity and is associated with poor outcomes. To date, limited molecular information has been incorporated into disease classification and risk stratification. We aimed to integrate genomic features into the clinical decision-making process for CMML. PATIENTS AND METHODS We analyzed a retrospective cohort of 3013 patients with CMML (training set) and a prospective population of 516 patients (validation set). Using an innovative framework for multimodal data analysis, we developed molecular-based disease taxonomy and prognostication. RESULTS Unsupervised clustering identified nine entities with distinct genomic features and outcomes ( P < .001), including splicing machinery, transcription factors, signal transduction and tyrosine kinase pathways aberrations, and high-risk molecular signatures. Notably, 15% of patients showed molecular/clinical overlap with other myeloid neoplasms. We integrated molecular and clinical information to build the international CMML Prognostic Scoring System (iCPSS), incorporating mutations in nine genes together with hematologic parameters and cytogenetic abnormalities. The iCPSS identified five groups with distinct probability of overall and leukemia-free survival in both training and validation cohorts ( P < .001), outperforming existing prognostic models. Importantly, 55% of patients were reassigned to higher or lower risk groups by the iCPSS. Decision analysis demonstrated that iCPSS could refine the optimal timing of allogeneic transplantation at the individual level; compared with conventional prognostic tools, iCPSS-based decision modeling changed transplantation strategy in 31% of cases, resulting in a significant gain-in-life expectancy for eligible patient population ( P < .001). A federated learning platform was implemented to enable continuous, privacy-preserving model update across multiple centers. CONCLUSION Molecular information improves CMML classification and prognostication, supports more effective clinical decision making, and potentially refines the design of clinical trials.

Abstract Neuromodulatory subcortical systems (NSSs) are uniquely susceptible to dementia‐related pathology, leading to frequent molecular and behavioral impairments associated with altered function of these nuclei. Some of these systems display clear sex‐specific cytoarchitecture and signaling leading to distinct physiology and behavioral outputs in males and females, while other regions display nominal sex differences. However, the relevance of sex differences in modulating dysfunction of NSSs in Alzheimer's disease (AD) and related dementias is not well understood. This review is a joint effort by the Neuromodulatory Subcortical Systems and Sex and Gender Differences in Alzheimer's Disease Professional Interest Areas of the Alzheimer's Association. We review sex differences in NSSs, both in non‐disease states and in AD models and patients. We highlight the possible role of NSSs in driving sex‐specific AD susceptibility and potential footholds for sex‐based interventions targeting these systems. We conclude by outlining immediate and long‐term actions to address the intersection of NSSs, sex, and AD.

Abstract Background While immunologic aging impacts immune responses to vaccination, consistent biomarkers associated with aging of the immune system and suboptimal serologic response to influenza vaccination have not been well-studied. Identification of readily measurable biomarkers of immunosenescence may have predictive clinical utility and inform targeted influenza vaccination strategies and future research into aging of the immune system. Methods We quantified multiple serum/plasma and cell-based parameters related to immune aging (CMV serostatus, plasma cytokines/chemokines, TREC, TERT, NK cell functionality, and DNA methylation clock) at baseline in an adult (age range 18-85) cohort of 2019-2020 influenza vaccine recipients (n=337) and evaluated their associations with vaccine-induced HAI response to influenza A/H1N1, A/H3N2 and B/Victoria strains. Results CMV IgG titers were significantly positively correlated with vaccine-induced increases in HAI antibody titers to influenza A/H1N1 ( p= 0.02) and A/H3N2 ( p =0.014). CMV IgG titers ( p= 0.00096) and CMV seropositivity ( p= 0.003) were also associated with Day 28 HAI seropositivity against influenza A/H3N2 in subjects seronegative at baseline. Conversely, plasma MCP-1 levels were negatively associated with HAI responses to the A/H3N2 ( p= 0.04) strain. These findings were significant independent of age, sex or vaccine type received (high vs standard-dose seasonal influenza vaccine) Conclusions Our identification of significant relationships between easily quantifiable immune markers and HAI responses to influenza A vaccine strains across sex and age enhances our knowledge of specific links between immune aging and influenza vaccine-induced immunity. These markers could be leveraged for predicting response to influenza immunization.

(1) Background: Mammographic breast density (MBD) is a well-established predictor of breast cancer risk, yet the biological mechanisms underlying this association remain incompletely understood. MBD is characterized by alterations in breast stromal architecture, including increased collagen deposition and changes in immune cell composition. Given emerging evidence that the breast harbors a resident microbiome, we investigated whether the breast tissue microbiome correlates with MBD. (2) Methods: Adjacent normal breast tissue was collected under sterile conditions from 33 women undergoing surgery for benign or malignant breast disease. DNA was extracted and subjected to 16S rRNA gene sequencing (Illumina MiSeq). (3) Results: We observed a non-significant trend toward lower α-diversity in high-MBD samples compared to low-MBD samples, p = 0.13. β-Diversity analyses identified a modest association between MBD and microbial community composition (MiRKAT p = 0.049). A random forest-based model incorporating genus-level relative abundances improved prediction of MBD over clinical characteristics alone, identifying Corynebacterium (Actinobacteria) and other genera as key predictors. (4) Conclusions: Breast tissue microbial features vary with mammographic breast density, suggesting a potential association with density-associated breast cancer risk. These exploratory findings warrant validation in larger cohorts to better elucidate biological mechanisms and clinical relevance.

BACKGROUND: Arteriovenous malformation (AVM) recurrence after complete surgical resection is a rare but significant clinical event. The underlying mechanisms and factors that predict recurrence remain incompletely defined. METHODS: We conducted a systematic review and meta-analysis in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. We included case series reporting on AVM recurrence following an angiographically documented complete resection. Data on initial clinical presentation, patients' demographics, AVM features, and patterns of recurrence were extracted and analyzed. RESULTS: We included 15 studies with a total of 1287 patients in our meta-analysis. The overall estimated recurrence rate was 5.4%. Hemorrhagic presentation appeared as a major predictor: in fact, 94% of recurrences occurred in patients with a prior rupture, corresponding to a 7.3% (95% CI, 0.049–0.098) recurrence rate within this high-risk subgroup. Ruptured AVMs were associated with 4-fold higher odds of recurrence compared with unruptured AVMs (odds ratio, 4.072 [95% CI, 1.492–11.113]). Younger age was also found to be a key factor, with pediatric patients accounting for 89% of all recurrences. Deep venous drainage was associated with a nearly 5-fold increased risk of recurrence (odds ratio, 4.96 [95% CI, 1.801–13.662]), while eloquent brain location was not found as a statistically significant predictor. The mean time to recurrence was 39.6 (95% CI, 27.80–51.41) months, while follow-ups varied among patients. CONCLUSIONS: Hemorrhagic presentation, younger age, and deep venous drainage demonstrated to be significant predictors of AVM recurrence after complete resection, whereas vascular aging appears protective. In older individuals, proangiogenic mediators (VEGF [vascular endothelial growth factor], HIF-1 [hypoxia-inducible factor-1] α, eNOS [endothelial nitric oxide synthase], and MMPs [matrix metalloproteinases]) are downregulated via aging-related pathways, limiting neovascularization and making recurrence biologically less likely. These findings underscore the need for prolonged, risk-adapted surveillance protocols, particularly for high-risk pediatric patients who present with hemorrhage.

Background Inadequate preventive dental care may contribute to inflammatory conditions such as periodontitis, increasing cardiovascular disease risk. Artificial intelligence–enabled electrocardiography (AI‐ECG) algorithms accurately estimate cardiovascular disease risk. We investigated the association between inadequate preventive dental care and the AI‐ECG–estimated risk of atrial fibrillation, aortic stenosis, low ejection fraction, cardiac amyloid, cardiovascular aging, and all‐cause mortality. Methods We retrospectively analyzed 266 637 Mayo Clinic patients (2018–2024) who completed a Social Determinants of Health Survey and had an ECG performed within 1 year of survey completion. AI‐ECG algorithms generated continuous risk scores (0 or 1) for atrial fibrillation, aortic stenosis, low ejection fraction, and amyloid. Cardiac aging was assessed by delta age, calculated as AI‐ECG–estimated physiological age minus the chronological age. Associations with preventive dental care were analyzed using logistic regression. Cox regression evaluated dental care predictiveness on all‐cause mortality. Results Among 266 637 individuals (mean age, 59.5±16.4 years; 51.1% women), 49 918 (18.7%) reported inadequate preventive dental care. These individuals had higher delta age and increased AI‐ECG–predicted risks of atrial fibrillation, aortic stenosis, amyloid, and reduced ejection fraction (all P <0.001). In multivariable logistic regression models including all AI‐ECG scores, inadequate preventive dental care was associated with higher probabilities of low ejection fraction (odds ratio [OR], 1.80 [95% CI, 1.69–1.91]), atrial fibrillation (OR, 1.10 [95% CI, 1.04–1.17]), aortic stenosis (OR, 1.90 [95% CI, 1.64–2.20]), amyloid (OR, 1.18 [95% CI, 1.12–1.25]), and higher delta age (OR, 1.03 [95% CI, 1.02–1.03]) (all P <0.001). Inadequate preventive dental care predicted all‐cause mortality after adjusting for demographics, risk factors, and AI‐ECG algorithms (HR, 1.45 [95% CI, 1.38–1.53], P <0.001). Conclusions Inadequate preventive dental care is associated with subclinical cardiovascular disease. AI‐ECG algorithms may facilitate cardiovascular risk stratification among individuals with limited preventive dental care access.

Abstract Aims We aimed to assess regression and development rates of ≥moderate secondary mitral regurgitation (MR) and tricuspid regurgitation (TR) in patients with heart failure and reduced ejection fraction (HFrEF) receiving contemporary guideline-directed medical therapy (GDMT). Methods Patients with a &lt;1 year diagnosis of HFrEF with mildly (40% ≤ EF &lt; 50%) or moderately (&lt;40%) reduced EF enrolled in GDMT titration programme 2019–2024 were identified. Regression rates of ≥moderate MR/TR to ≤mild and development rates of incident ≥moderate MR/TR were calculated. Results Among 844 patients [median age 64; 68% men; 26% mildly reduced EF; 24% New York Heart Association (NYHA) Class III/IV], 28% had ≥moderate MR and 14% had ≥moderate TR. Over median 7.1 months, 171 (75%) patients with ≥moderate MR and 87 (75%) of patients with ≥moderate TR experienced regression to no/mild MR and TR, respectively. Conversely, over median 13 months, incident ≥moderate MR and TR developed in 5% and 6%, respectively, of patients with no/mild baseline MR and TR. Number of GDMT medications at follow-up was less in patients who did not have MR/TR regression (vs who did) and in patients who developed MR/TR (vs who did not). Patients with NYHA Class I/II received a similar number of GDMT and had a similar rate of MR and TR regression and development vs patients with NYHA Class III/IV. However, patients with mildly reduced EF received less GDMT medications vs patients with moderately reduced EF and experienced less MR regression. Conclusion In patients with a recent diagnosis of HFrEF receiving contemporary GDMT, the majority with ≥moderate secondary MR and TR achieved regression of MR/TR, and the minority without significant baseline MR/TR developed ≥moderate regurgitation at follow-up.

Abstract Background: We have identified two potentially predictive signatures of palbociclib resistance: the RBsig, composed of E2F1/E2F2 dependent genes, which is associated with genetic loss of RB1, and the ratio between the gene expression levels of CCNE1 to RB1 (CCNE1/RB1). Both signatures have been previously analyzed in vitro and in neoadjuvant and metastatic studies with palbociclib. The present analysis aims to explore the role of RBsig and CCNE1/RB1 in the phase III adjuvant PALLAS trial, which randomized patients to palbociclib plus endocrine therapy, versus endocrine therapy alone. Materials and methods: Gene expression data from PALLAS were generated using the HTG EdgeSeq Oncology BM Panel. Of the 87 genes composing RBsig, 46 were available within the EdgeSeq dataset and were used for the analyses; CCNE1 and RB1 were both available. RBsig was calculated as the mean of the Z-score scaled gene expression (log) of the 46 genes; CCNE1/RB1 was computed as the log ratio between the mRNA expression of CCNE1 and RB1. The prognostic/predictive effect of the continuous signatures in terms of invasive disease-free survival (IDFS), distant recurrence-free survival (DRFS), and overall survival (OS) was evaluated using Cox proportional hazard models. Results: HTG data were available from 2,587 of 5,748 patients from the entire PALLAS intention-to-treat (ITT) cohort. As RBsig and CCNE1/RB1 levels are affected by pre-surgical treatments, we limited the analyses to 1612 pre-treatment samples (530 core biopsies and 1082 surgical specimens) (analysis population). Compared with the entire PALLAS ITT cohort, the analysis population was significantly enriched for patients with low clinical risk (41.3% vs 59.4%) who did not receive prior chemotherapy (17.5% vs 55.9%). In keeping with the PALLAS ITT cohort, no significant benefit from the addition of palbociclib was observed in the analysis population. Higher baseline RBsig or CCNE/RB1 values were significantly and independently associated with worse IDFS (hazard ratio [HR] 1.63, 95% confidence interval [CI] 1.3-2.0; HR 1.22, 95%CI 1.1-1.3, respectively), DRFS (HR 1.94, 95%CI 1.5-2.5; HR 1.26, 95%CI 1.1-1.4, respectively) and OS (HR 1.79, 95% CI 1.3-2.4; HR 1.26, 95%CI 1.1-1.4, respectively) in the analysis population. No predictive effect of palbociclib benefit was observed for either signature in the analysis population, nor according to clinical risk or chemotherapy receipt. Interestingly, higher RBsig was strongly prognostic in patients who did not receive adjuvant chemotherapy (HR 1.83, 95%CI 1.4-2.3) but not in those who received it (HR 1.01, 95%CI 0.6-1.6) (interaction p=0.02) suggesting a potential predictive role of RBsig for chemotherapy benefit. Conclusions: In the PALLAS trial, higher baseline RBsig or CCNE1/RB1 values are associated with worse prognosis, but are not predictive of benefit from palbociclib in the adjuvant setting. RBsig might be associated with differential benefit from chemotherapy. Further study of these biomarkers may strengthen their role in risk stratification.https://acknowledgments.alliancefound.org Citation Format: L. Malorni, D. Hlauschek, E. Mayer, M. Benelli, L. Biganzoli, I. Migliaccio, A. Kermanidis, G. Pfeiler, E. P. Mamounas, A. M. Brufsky, M. Bellet-Ezquerra, K. Clifton, G. Rubovszky, T. Foukakis, M. Goetz, S. Lee, M. Ruiz-Borrego, W. Symmans, K. V. Ballman, F. Liu, J. Machacek-Link, C. Denkert, A. DeMichele, M. Gnant. Prognostic and predictive role of RBsig and CCNE1/RB1 gene-expression signatures for patients with early breast cancer treated with endocrine therapy with or without palbociclib in the PALLAS trial (ABCSG-42, AFT-05, BIG 14-03) [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS2-07-13.