Citations

Abstract The brain avidly consumes glucose to fuel neurophysiology. Cancers of the brain, such as glioblastoma (GBM), relinquish physiological integrity and gain the ability to proliferate and invade healthy tissue. How brain cancers rewire glucose utilization to drive aggressive growth remains elusive. Here, we infused 13C-labeled glucose into patients and mice with brain cancer, coupled with quantitative metabolic flux analysis, to map the fates of glucose-derived carbon in tumor vs. cortex. Through the first direct and comprehensive measurements of carbon and nitrogen labeling in both cortex and glioma tissues, we uncover profound metabolic transformations. In human cortex, glucose carbons fuel essential physiologic processes including TCA cycle oxidation and neurotransmitter synthesis. Conversely, gliomas downregulate these processes and scavenge alternative carbon sources such as amino acids from the environment, repurposing glucose-derived carbons to generate molecules needed for proliferation and invasion. Targeting this metabolic rewiring in mice through dietary amino acid modulation selectively alters GBM metabolism, slows tumor growth, and augments the efficacy of standard-of-care treatments. These findings illuminate how aggressive brain tumors exploit glucose to suppress normal physiological activity in favor of malignant expansion and offer potential therapeutic strategies to enhance treatment outcomes.

Abstract Cerebrospinal fluid (CSF) cell-free DNA (cfDNA) is under evaluation as a liquid biopsy tool across multiple neuro-oncologic indications, including diagnosing lesions of uncertain etiology, delineating progression from pseudoprogression, and confirming suspected leptomeningeal disease (LMD). We evaluated the real-world performance of CSF cfDNA sequencing for identification of variant alleles (VA) using targeted panel sequencing (PredicineCARE) and/or copy number alterations (CNA) using low-pass whole-genome sequencing (LPWGS; PredicineSCORE) in a diverse cohort across three aforementioned indications. From 82 adult patients, 93 samples (92.4% from lumbar puncture and 7.6% from ventriculoperitoneal shunt taps) were analyzed. For CNS progression, gliomas were most frequently evaluated (60%); for LMD, metastatic disease was most common (86.7%). Median CSF volume utilized for analysis was 4.60 mL (range: 0.40-7.50 mL). Median cfDNA yield was 0.29 ng/mL (range: 0.00–1037.74 ng/mL). For lesions of uncertain etiology (n=40 patients, 1 sample/patient), VAs were identified in 10 samples (25%); an additional 10 samples had sufficient cfDNA for LPWGS (25%). 50% of samples in this indication had insufficient cfDNA for testing. For suspected progression (n=26 patients, 35 samples), VAs were identified in 6 samples (17.1%); an additional 14 samples underwent LPWGS (40%); 15 had insufficient cfDNA for further testing (42.9%). For suspected LMD (n=16 patients, 18 samples), VAs were quantifiable in 4 samples (22.2%); LPWGS could be performed in an additional 9 (50%); 5 had insufficient cfDNA (27.8%). Across indications, identification of known tumor-associated alterations in CSF, including those confirmed previously by tissue, served as a non-surgical diagnostic adjunct. In some patients, targetable mutations could be identified via CSF. Conversely, absence of such alterations and/or low cfDNA yields may lower suspicion for active neuro-oncologic disease, when evaluated alongside clinical history. Despite modest cell-free DNA yield, CSF cfDNA evaluation provides valuable information to aid clinical decision-making across neuro-oncologic indications.

Loss of fragile X messenger ribonucleoprotein (FMRP) causes fragile X syndrome (FXS), an inherited neurodevelopmental disorder resulting in intellectual disability and autism spectrum disorder; however, the molecular function of FMRP remains uncertain. Here, using cell lines and fibroblasts and induced pluripotent stem cell–derived neurons from healthy individuals and patients with FXS, we showed that FMRP regulates collided ribosomes by recruiting activating signal cointegrator 1 complex subunit 3 (ASCC3), an early-acting ribosome-associated quality control (RQC) factor to collided ribosomes, and either positively or negatively regulating translation, depending on transcript context. Disease-associated ASCC3 variants that perturbed ASCC3-FMRP interaction were also found to be defective in ribosome association and handling of collided ribosomes. In cells of a patient with FXS and the Fmr1 KO mouse model, ASCC3 abundance was reduced, and overexpression of ASCC3 in the brains of fetal Fmr1 KO mice promoted neuronal migration. In addition, CRISPR-mediated activation of ASCC3 by lateral ventricular injection of adeno-associated virus (AAV) ameliorated synaptic defects and improved locomotor activity, cognitive deficits, obsessive-compulsive–like behavior, and social interaction deficits after 1 month in 2-month-old Fmr1 KO mice compared with untreated Fmr1 KO controls. In conclusion, these data implicated FMRP in the handling of collided ribosomes to maintain protein homeostasis during neurodevelopment and synaptogenesis and demonstrated proof of concept that targeting RQC may offer alternative treatment strategies for FXS.

Abstract Objective This study reports development and validation of a deep learning seizure detection algorithm for two‐channel subscalp electroencephalographic (EEG) recordings. Ultra‐long‐term monitoring of people with epilepsy may produce new insights into the timing and pattern of their seizures and may pave the way for novel therapeutic options. Although EEG is the accepted standard for epilepsy monitoring, ultra‐long‐term EEG recordings generate a massive quantity of data and are not reasonably reviewable in full by human readers. Methods The convolutional neural network‐bidirectional long short‐term memory (CNN‐BiLSTM) hybrid algorithm uses nine layers, operating on channel spectrograms 5 min in length with 50% overlap. Retrospective subscalp EEG data from 16 patients recorded at three centers were available for algorithm development and testing. EEG was recorded for a median of 63 days (range = 9–508), and a median of 17 seizures (range = 0–96) were recorded. Training data were augmented with scalp EEG seizures, and performance was benchmarked against a conventional spectral power classifier algorithm. We also evaluated an intrapatient training–testing approach where the algorithm was trained on the first 45% of data. Results The CNN‐BiLSTM trained on scalp EEG and subscalp EEG achieved an area under the receiver operating characteristic curve (AUROC) of .98 and an area under the precision–recall curve (AUPRC) of .50, which correspond to 94% sensitivity with 1.11 false detections per day. The same model trained on iEEG achieved only AUROC = .94 and AUPRC = .36. The conventional spectral band power detector achieved AUROC = .93 and AUPRC = .38. The CNN‐BiLSTM detector trained on the earliest half of the subscalp EEG data achieved AUROC = .93 and AUPRC = .37, corresponding to 87% sensitivity and 5.9 false detections per day. Significance High sensitivity and specificity are possible in automated seizure detection in two‐channel subscalp EEG data using a CNN‐BiLSTM framework. Performance of the detector is superior using subcutaneous EEG data for training rather than intracranial EEG, but addition of scalp EEG seizures for training was helpful.

Abstract BACKGROUND Intraductal papillary mucinous neoplasm (IPMN) is one of the two most common precursor lesions leading to the development of pancreatic ductal adenocarcinoma (PDA). IPMNs comprise a heterogeneous group of tumors with a wide range of grades and histotypes, and the emergence of single-cell RNA sequencing (RNA-seq) and multiplex digital spatial profiling have characterized unique cell populations, including dysplastic epithelial and immune cells, within the heterogeneous tumor microenvironment that carry signature gene expressions, which could be used as markers for disease progression. However, it is not clear on the heterogeneity of the epithelial and immune response of the evolution during progression of IPMN to PDA. OBJECTIVE Combining nuclear GSK-3β with oncogenic KRas mice (referred to as KNGC – KRas, nuclear GSK-3β, Cre) resulted in the development of IPMN. We have found that 4-week-old KNGC mice show progressive desmoplasia and ductal lesion development with increased M2-like macrophage infiltration. Interestingly, CX3CL1 (fractalkine), a chemokine involved in the recruitment of CX3CR1-expressing monocytes and M2-like macrophage conversion in various disease models is expressed by IPMN progenitor ductal cells. We aim to investigate expression and contribution of CX3CL1-CX3CL1 axis in the development and progression of IPMN. METHODS We utilized a newly generated CX3CL1-mCherry and well-established CX3CR1-GFP knockin/knockout mouse for crossbreeding with KNGC and KGC (KRas, GNas, Cre) for lineage tracing and function analysis by immunofluorescent staining, flow cytometry and CyTOF. RESULTS Both KNGC- and KGC-3LmCherry/+ mice harbor a large population of CX3CL1-mCherry/EPCAM+ epithelial cells as compared to 3LmCherry/+ and wildtype (WT) control mice. In KNGC and KGC mice, we show that there was a unique population of macrophages (CD45+ CD11b+ Ly6G- F4/80+ Ly6c- ) with significantly higher expression of CX3CR1 (CX3CR1Hi) that was not seen in WT mice. Significantly, Knockout of CX3CR1 in KNGC-3RGFP/GFP animals had a paucity of M2-like macrophages, reduced T regulatory cells (Tregs), substantially reduced desmoplasia and impaired development of IPMN. CONCLUSIONS The study provides important knowledge regarding the role of CX3CL1-CX3CR1 axis in recruitment and generation of M2-like macrophages, and their impact on the initiation of the immune/stroma microenvironment facilitating IPMN development. Further investigations using these models have the potential to identify new biomarkers for risk stratification and therapeutic intervention. Citation Format: Li Ding, Kaely Roeck, Easton Maeder, Cheng Zhang, Taylor Weiskittel, Esther Rodman, Mark Maynes, Bibo Zhu, Aaron Johnson, Jie Sun, Li Hu, Daniel Billadeau. Uncoupling CX3CL1-CX3CR1 Axis in IPMN Development Through Transgenic Mouse Models [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research—Emerging Science Driving Transformative Solutions; Boston, MA; 2025 Sep 28-Oct 1; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(18_Suppl_3):Abstract nr A064.

Summary We investigated the outcomes of patients with advanced systemic mastocytosis (AdvSM) undergoing allogeneic haematopoietic cell therapy (alloHCT) in the US. Twenty‐seven adult (median age, 58 years) patients with AdvSM received alloHCT from 2014 to 2021. Most patients were white (93%), male (63%) and had systemic mastocytosis (SM) with associated haematological neoplasm (SM‐AHN, 70%), received peripheral blood grafts (89%) and non‐myeloablative regimens. KIT mutation was detected in 14 of the reported 16 patients (87.5%). Post‐transplantation cyclophosphamide (PTCy) was used in approximately 50% of the cohort. Approximately 1 year after alloHCT, median bone marrow mast cell burden decreased from 15% pre‐alloHCT to 1.5% (range 0–8) at 1 year post‐alloHCT. The median serum tryptase decreased from 55 ng/mL (range 3–400 ng/mL) pre‐alloHCT to 18 ng/mL (range 0–481 ng/mL) at 1 year post‐alloHCT. At 1 year, progression‐free survival (PFS) and overall survival (OS) were 59% (95% confidence interval [CI], 41%–77%) and 74% (95% CI, 56%–89%) respectively. In the subset of patients with SM‐AHN, 1‐year PFS and OS were 74% (52%–91%) and 79% (95% CI, 58%–94%) respectively. The cumulative incidence of relapse/progression for the entire population of patients with SM ( n = 27) was 4% (95% CI, 0–14) at 100 days and 15% (95% CI, 4–31) at 1 year. For the subset of patients with AHN, the cumulative incidence was 11% (95% CI, 1–28) at 100 days and 21% (95% CI, 6–42) at 1 year. Relapse/progression was the cause of death in six of 12 patients (5 died of AHN and 1 died of SM progression). Eighteen and nine patients received a KIT inhibitor before alloHCT and after alloHCT respectively. In addition, six patients received a KIT inhibitor for the treatment of relapse/progression of SM after alloHCT. Although it is difficult to delineate the exact effect of alloHCT and KIT inhibitors because of the size of the study in this era, the use of alloHCT and KIT inhibitors pre‐ and post‐ alloHCT is increasing. In the near future, larger studies are required to provide further insights into this subject.

Abstract Background Lung adenocarcinoma in never-smokers is a major public health burden, especially among East Asian women. Polygenic risk scores (PRSs) are promising for risk stratification but are primarily developed in European-ancestry populations. We aimed to develop and validate single- and multi-ancestry PRSs for East Asian never-smokers to improve lung adenocarcinoma risk prediction. Methods PRSs were developed using genome-wide association study summary statistics from East Asian (8002 cases; 20 782 controls) and European (2058 cases; 5575 controls) populations. Single-ancestry models included a PRS with 25 single nucleotide variants (PRS-25), PRS clumping and thresholding (CT), and LDpred2; multi-ancestry models included LDpred2 plus European PRS-128, PRS-CSx, and clumping and thresholding, super learning, empirical Bayes (CT-SLEB). Performance was evaluated in independent East Asian data from the Female Lung Cancer Consortium and externally validated in the Nanjing Lung Cancer Cohort. We assessed predictive accuracy via area under the curve operating procedure (AUC), with 10-year and (ages 30-80 years) absolute risks estimates. Results The best multi-ancestry PRS, using East Asian and European data via CT-SLEB, outperformed the best East Asian-only (LDpred2; AUC = 0.629, 95% confidence interval [CI] = 0.618 to 0.641), achieving an AUC of 0.640 (95% CI = 0.629 to 0.653) and odds ratio of 1.71 (95% CI = 1.61 to 1.82) per standard deviation increase. Nanjing Lung Cancer Cohort validation confirmed robust performance (AUC = 0.649, 95% CI = 0.623 to 0.676). The top 20% PRS group had a 3.92-fold higher lung adenocarcinoma risk than the bottom 20%. Further, the top 5% PRS group reached a 6.69% lifetime absolute risk. Notably, this group reached the average population 10-year lung adenocarcinoma risk at age 50 years (0.42%) by age 41 years, 9 years earlier. Conclusions Multi-ancestry PRS approaches enhance lung adenocarcinoma risk stratification in East Asian never-smokers, with consistent external validation, suggesting future clinical utility.

Abstract Recent research suggests higher circulating lymphocyte counts may protect against colorectal cancer (CRC). However, the role of specific lymphocyte subtypes and activation states remain unclear. CD4+ T cells—a highly dynamic lymphocyte subtype—undergo gene expression changes upon activation that are critical to their effector function. Previous studies using bulk tissue have limited our understanding of their role in CRC risk to static associations. We applied Mendelian randomization (MR) and genetic colocalisation to evaluate causal relationships of gene expression on CRC risk across multiple CD4+ T cell subtypes and activation states. Genetic proxies were obtained from single-cell transcriptomic data, allowing us to investigate the causal effect of expression of 1,805 genes across CD4+ T cell activation states on CRC risk (78,473 cases; 107,143 controls). Analyses were stratified by CRC anatomical subsites and sex, with sensitivity analyses assessing whether the observed effect estimates were likely to be CD4+ T cell-specific. We identified 6 genes—FADS2, FHL3, HLA-DRB1, HLA-DRB5, RPL28, and TMEM258—with strong evidence for a causal role in CRC development (FDR-P < 0.05; colocalisation H4 > 0.8). Causal estimates varied by CD4+ T cell subtype, activation state, CRC subsite and sex. However, many of genetic proxies used to instrument gene expression in CD4+ T cells also act as eQTLs in other tissues, highlighting the challenges of using genetic proxies to instrument tissue-specific expression changes. We demonstrate the importance of capturing the dynamic nature of CD4+ T cells in understanding CRC risk, and prioritize genes for further investigation in cancer prevention.

ABSTRACTWith the global rollout of COVID‐19 vaccines, vaccine safety remains a priority. Emerging concerns have raised the potential risk of a long COVID‐like syndrome following vaccination, informally called long Vax and provisionally termed post‐COVID‐19 vaccination syndrome (PCVS). Our narrative review describes the putative manifestation, pathophysiology, and therapeutic approaches of PCVS based on the available evidence, mostly from case reports/series and observational studies. Our review noted that PCVS typically manifests within days to weeks post‐vaccination, with symptoms lasting months to years. PCVS may present as recognized diagnoses such as postural orthostatic tachycardia syndrome (POTS), small‐fibre neuropathy (SFN), myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), or as long‐term sequelae of myocarditis, vaccine‐induced thrombotic thrombocytopaenia (VITT), or immune thrombocytopaenia purpura (ITP). Symptomatically, PCVS overlaps with long COVID, such as fatigue and brain fog, but PCVS may involve more frequent paraesthesia and less dyspnoea. We also review pathophysiological hypotheses of PCVS, focussing on the vaccine‐derived spike protein and related immune responses. Finally, we discuss potential therapies used to treat patients with PCVS or related conditions, primarily documented in case reports/series, which could guide future clinical research. Overall, PCVS remains a poorly understood condition that requires more research to elucidate its prevalence, prognosis, risk factors, and treatments.

Abstract Frailty is highly prevalent in cardiovascular disease and associates with poor clinical outcomes. Several cardiovascular conditions benefit from invasive interventions, but the impact of these procedures in frail patients remains unclear. We thus performed a systematic review and meta-analysis to summarize evidence and quantify the pooled effect of clinical outcomes of invasive cardiovascular interventions among frail vs. non-frail patients. Systematic search of two electronic databases from January 2015 to April 2025 was performed including all randomized controlled trials (RCTs) and prospective cohort studies examining outcomes of invasive cardiovascular interventions stratified by frailty. Outcomes included all-cause mortality, hospitalizations, and other adverse outcomes. Risk ratios (RRs) and their 95% confidence intervals (CI) were assessed using random-effects models. Thirty-one studies (10 RCTs, 21 prospective, 3 retrospective studies) with a total of 27 534 participants were included. Compared with non-frail patients, frail patients after cardiovascular procedures were at higher risks of all-cause mortality (RR 3.14, 95% CI: 2.29-4.30), and hospitalizations (RR 1.88, 95% CI: 1.29-2.73). Frail patients undergoing transcatheter aortic-valve implantation and percutaneous mitral-valve interventions did not have significant increased mortality risks compared with non-frail patients (P > 0.05). Pre-frailty predicted lower mortality risks amongst patients undergoing transcatheter vs. surgical aortic valve replacement (HR 0.78, 95% CI: 0.67-0.92). Frail patients with non-ST elevation myocardial infarction derived similar mortality benefits from an invasive vs. conservative approach (HR 1.13, 95% CI: 0.64-2.01). In conclusion, frailty prognosticates adverse outcomes following invasive cardiovascular interventions and influences treatment efficacy, highlighting its significance in treatment selection