Citations

The role of the epigenome in age-related neurodegenerative disorders remains understudied. Here, we analyzed circulating cell-free DNA (cfDNA) from blood to detect methylation changes as a liquid biopsy for Amyotrophic Lateral Sclerosis (ALS). Our study included 20 patients with sporadic ALS, 10 patients with C9orf72-associated ALS, 10 asymptomatic carriers of the C9orf72 repeat expansion mutation, and 21 nondisease control individuals. Following targeted enzymatic methyl-sequencing (EM-seq) of approximately 4 million CpG sites, we detected numerous differentially methylated genes, including several implicated in ALS disease risk and pathogenesis. By integrating multiple epigenetic features, we delineated a distinct epigenetic signature, which achieved an average area under the curve (AUC) of 0.91 ± 0.10 upon receiver operator characteristic (ROC) analysis, which enabled detection of approximately 70% of patients with ALS with close to 100% specificity. Furthermore, we also identified a set of genes whose methylation status significantly correlated with clinical disease progression and cerebrospinal fluid (CSF) neurofilament levels. Our results reveal the potential of cfDNA-based biomarkers to accurately diagnose ALS and potentially predict disease progression.

Abstract Aims Trends in upright seated pulmonary artery pressure (PAP) with synchronous measurement of weight, blood pressure (BP), and heart rate (HR) have not been compared prior to heart failure events (HFE) and other causes of hospitalization during remote monitoring. Methods We analysed 24-month data from patients in the PROACTIVE-HF trial. Participants (N = 456) used the CordellaTM HF daily to measure seated PAP, weight, BP, and HR, all taken and transmitted within minutes. Events that were analysed included HFE, those potentially related to HF treatment (HF-TRE), and others (non-HFE). Parameters were trended from 60-days before (D-60) to 30-days after (D + 30) the day of the event (D = 0), and their concurrent changes were compared between D-60 and D = 0, and D = 0 and D + 30 using a mixed effects model. Results There were 196 HFE, 276 non-HFE, and 66 HF-TRE. Prior to HFE, average mean PAP (mPAP) increased from 27.8 ± 10.9 mmHg at D-60 to 32.6 ± 11.2 mmHg at D = 0 (P < .001), and decreased to 30.0 ± 12.4 mmHg at D + 30 (P = .001). Kinetics of mPAP before HFE differed by left ventricular ejection fraction (LVEF); mPAP rose by 3.4 ± 6.8 mmHg in 2 weeks before HFE in those with LVEF >40%, whereas a similar magnitude (3.1 ± 9.1 mmHg) of mPAP rise occurred over 6-weeks before HFE in those with LVEF ≤40%. No consistent changes in weight, SBP, or HR prior to HFE were observed (P > .05). Changes in vital signs but not mPAP were noted prior to HF-TRE and non-HFE. Conclusion Seated mPAP increased weeks in advance of HFE and vital signs did not change consistently before HFE. Differential kinetics of mPAP prior to HFE by the LVEF suggest that an uptrend in seated mPAP may need to be addressed more rapidly in those with LVEF>40%. Changes in vital signs with non-HFE and HF-TRE need further validation.

PURPOSE Remote symptom monitoring using patient-reported outcomes (PROs) has been shown to improve symptom control and physical function among patients with advanced cancer. However, it is unclear whether these benefits are similar across demographic groups. This exploratory analysis of the PRO-TECT trial examined whether the effects of electronic symptom monitoring varied by race, age, sex, and educational attainment. METHODS PRO-TECT was a cluster randomized trial conducted across 52 US community oncology practices comparing weekly electronic symptom monitoring with usual care (UC). Adult patients with metastatic solid tumors receiving systemic therapy were enrolled (N = 1,191). Participants in the PRO arm completed weekly symptom surveys including the PRO-CTCAE, triggering alerts to the care team for severe or worsening symptoms. Patients chose whether to complete weekly PROs online or via telephone-based interactive voice response not requiring Internet access. Outcomes were measured using the European Organisation for Research and Treatment of Cancer QLQ-C30 symptom control and physical function scales. Subgroup analyses were performed by race (Black v White), age (<65 v ≥65 years), sex (male v female), and educational attainment (≤high school v >high school). RESULTS From baseline to 3 months, PRO participants showed greater improvements in symptom control (+2.37 v −0.20, P = .002) and physical function (+1.54 v −0.93, P = .02) versus UC. Benefits were most pronounced among younger, female, Black, and less educated participants. Black participants in the PRO arm were more likely to report that symptom reporting made them feel more in control of their care compared with White participants. CONCLUSION Electronic symptom monitoring improved quality-of-life outcomes overall, including among groups who have historically experienced higher symptom burden or barriers to communication. Remote PRO systems may represent an equitable strategy to enhance cancer care delivery.

Abstract Background Approximately 12 000 adolescents and young adults (ages 15-39, AYAs) are diagnosed with a primary central nervous system (CNS) tumor each year. DNA methylation profiling has transformed CNS tumor classification by refining diagnostic accuracy and identifying biologically distinct subtypes, but its application has not been systematically evaluated in the AYA population. In this study, we examined the spectrum of CNS tumor types across age groups, with a focus on the AYA population. Methods We assembled a large dataset of CNS tumor samples with age annotations and methylation profiles matching with high confidence to a CNS tumor type using the NCI/Bethesda classifier. Prevalence of tumor type, methylation class and DNA copy number aberrations were compared across age strata (pediatric, AYA, and adult). Results The cohort of 21 712 CNS tumors included 5351 tumors from AYAs (25%), which showed a mixed pattern, with tumors typical of childhood (eg, medulloblastoma) as well as those common in older adults (eg, glioblastoma). Several tumor types were specifically enriched in the AYA, including IDH-mutant astrocytoma, pleomorphic xanthoastrocytoma, posterior fossa group B ependymoma, and diffuse hemispheric glioma, H3 G34-mutant, among others. Distinct methylation subclasses of multiple tumor types were observed in the AYA, and patterns of genomic aberrations showed age-specific distributions. Conclusion Large-scale methylation profiling revealed unique classification patterns of CNS tumors in AYAs, with specific tumor types, subclasses, and genomic alterations enriched in this population. These data may serve as a valuable reference resource for better understanding the spectrum of CNS tumors affecting AYA patients.