Citations

Abstract Background: amyotrophic lateral sclerosis is the most common adult-onset motor neuron disease, characterised by the progressive degeneration of upper and lower motor neurons in the brain and spinal cord. Despite substantial advances in the understanding of underlying disease mechanisms, effective therapies remain lacking. Methods: we generated spinal cord organoids from patient-derived induced pluripotent stem cells and matched isogenic controls to model in vitro the molecular pathology associated with the hexanucleotide repeat expansion within the C9orf72 gene. Results: C9orf72 organoids displayed delayed neuronal maturation, axonal degeneration, mitochondrial abnormalities, enhanced apoptotic signaling, and accumulation of dipeptide repeat proteins. Integrated multi-omics analyses revealed a consistent down-regulation of Netrin-1 at both the transcript and protein levels across patient-derived organoids, suggesting that its loss may contribute to impaired neuronal connectivity, compromised axonal integrity, and increased motor neuron vulnerability in C9orf72 amyotrophic lateral sclerosis. Conclusions: together, these findings establish patient-derived spinal cord organoids as a biologically relevant and in vitro model that recapitulates key cellular and molecular hallmarks of C9orf72-associated amyotrophic lateral sclerosis. This platform provides a valuable framework to deepen disease mechanisms, toward the development of new effective therapeutic strategies.

Abstract Background and Aims Clinical models incompletely capture the molecular pathways driving heart failure (HF) progression. This study evaluated whether molecular risk stratification provides incremental prognostic information beyond established clinical predictors in patients with HF. Methods A total of 2432 patients from the Global Congestive Heart Failure (G-CHF) registry with available genotyping, DNA methylation, and proteomic profiling were analysed. Three molecular scores were assessed: a composite cardiovascular polygenic risk score (PRS) from DNA sequence polymorphisms, a methylation risk score (MRS) derived from epigenome-wide associations, and a 23-protein-based score (ProteomicDeath23). Each score was tested individually and in combination with the clinical Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) risk score and N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels for mortality prediction. Validation was performed in an HF subset of the UK Biobank (UKB). Results Over a median follow-up of 3.0 years in G-CHF, 523 patients died from any cause (7.64 per 100 person-years [PY]). In multivariable analyses, ProteomicDeath23 was the strongest independent predictor of all-cause mortality (hazard ratio [HR] per 1 standard deviation, 2.23), outperforming NT-proBNP (HR 2.00), MRSMortality (HR 1.66), PRSmetaCVD (HR 1.10), and the MAGGIC score (HR 1.70). A model combining ProteomicDeath23 with MAGGIC and NT-proBNP achieved the highest discrimination for mortality (C-index, 0.77). Addition of MRSMortality to this proteomic-clinical model resulted in only small improvements in discrimination (ΔC-index, +0.004, P = .0039), while the PRSmetaCVD provided no incremental benefit. Among patients with low NT-proBNP/MAGGIC score, mortality rates increased from 1.71 to 8.12 per 100 PY across ProteomicDeath23 tertiles. Consistent results were observed in the UKB-HF validation cohort. Conclusion A proteomic score was the strongest molecular predictor of mortality in HF. Integrating proteomic signatures with clinical risk factors significantly improved risk prediction.

ABSTRACT Airway perforation is a potentially lethal complication from tracheal or mediastinal malignancies that require complex management. Advanced thyroid cancer is known to have high morbidity, and patients with tracheal metastatic lesions are vulnerable to injury. Therapeutic management typically comprises a combination of surgical and nonoperative treatment modalities, whose adverse effects can lead to significant airway injury. We present the case of a 67‐year‐old man with papillary thyroid carcinoma who developed a tracheocutaneous fistula following proton beam therapy and chemotherapy for metastatic disease. Airway repair and recanalization were successfully achieved through a combined surgical and bronchoscopic approach.

Background Motor disturbances are common in neurologic and neurodegenerative syndromes. A standard motor speed and dexterity measure is the finger tapping test (FTT). The FTT has traditionally been administered in clinic using a mechanical FTT, limiting accessibility and early motor change quantification. This study assessed the validity of a smartphone app-based FTT, which may expand access and enable more frequent testing. Methods The cohort was diagnostically diverse, including participants with frontotemporal dementia (FTD), progressive supranuclear palsy (PSP), corticobasal syndrome, primary progressive aphasia, multiple sclerosis, and clinically unimpaired controls. Participants completed a 20-second ALLFTD Mobile App (mApp)-FTT with each hand. Tapping speed metrics were extracted. Participants completed the gold-standard mechanical FTT, a neurologist-administered finger tapping exam, the PSP Rating Scale (PSPRS) and the Unified Parkinson’s Disease Rating Scale (UPDRS). Correlations assessed mApp-FTT and mechanical FTT relationships; regressions evaluated associations with neurologist-rated finger tapping impairment, PSPRS and UPDRS, adjusting for age and sex. Results The mApp-FTT showed moderate-to-strong correlations with the mechanical FTT (dominant: r=0.63, p<0.001; non-dominant: r=0.55, p<0.001). Taps per second were associated with PSPRS motor severity (dominant hand: std. β=-0.59, 95% CI [-0.91, -0.27], p<0.001) and the UPDRS (dominant hand: std. β=-0.41, 95% CI [-0.82, 0.00], p=0.049). Flight time was modestly associated with neurologist-rated finger tapping impairment (dominant hand: std. β=0.15, 95% CI [0.00, 0.29], p=0.044). Conclusion These findings support mApp-FTT validity as a measure of motor function across neurodegenerative conditions. Validation in longitudinal and unsupervised remote settings is warranted to understand scalability and evaluate change over time.

OBJECTIVE Maximal safe resection of intra-axial brain tumors near the motor cortex is aided by intraoperative motor mapping. Here, the authors compared outcomes in patients undergoing either low-frequency bipolar stimulation (LFBS) or high-frequency monopolar stimulation (HFMS) for cortical and/or subcortical motor mapping during brain tumor resection. METHODS A retrospective analysis of patients undergoing an asleep craniotomy with motor mapping or an awake craniotomy with motor and speech mapping with a single surgeon was performed. Three cohorts were compared: 1) asleep LFBS (AsLFBS), 2) awake LFBS (AwLFBS; motor + speech mapping), and 3) asleep HFMS. HFMS mapping was not used for awake craniotomies. RESULTS A total of 284 patients who underwent 300 craniotomies with motor mapping were identified. No significant differences in permanent neurological deficits (p = 0.377) or extent of resection (EOR) of nonenhancing tumors (p = 0.453) were identified between LFBS or HFMS motor mapping cases. Both EOR (92.7% vs 83.5%, p = 0.035) and permanent neurological deficits (7.6% vs 3.3%) occurred more frequently in enhancing tumors with LFBS, although the latter was not statistically significant. HFMS was associated with higher rates of subcortical motor pathway identification (p = 0.001) and fewer total intraoperative seizures (p = 0.003) compared with LFBS. Previous resection (HR 0.46, p = 0.003) and a higher cortical threshold (HR 0.95, p = 0.023) were significantly associated with longer survival, while preoperative aphasia (HR 2.24, p = 0.022), hospital length of stay (HR 1.1, p = 0.005), an insular-based tumor (HR 3.5, p = 0.021), and a histological diagnosis of glioblastoma (HR 2.9, p = 0.001) were negative predictors. Interestingly, overall FLAIR EOR was significantly associated with a marginally decreased overall survival (HR 1.01, p = 0.011). CONCLUSIONS No significant differences in postoperative neurological deficits were found between LFBS and HFMS paradigms. HFMS may identify subcortical motor fibers more reliably while resulting in significantly fewer intraoperative seizures. Although LFBS was associated with greater EOR of contrast-enhancing tumors, it may also be associated with higher rates of postoperative deficits, perhaps reflecting less reliable identification of subcortical motor fibers.

Abstract Background Multiplexed immunofluorescence (MxIF) enables high-dimensional immune cell phenotyping and detailed characterization of the tumor immune microenvironment (TIME), but complex cyclic staining can introduce signal degradation and uncertainty in cell-level measurements. In routine practice, pathologists rely on hematoxylin and eosin (H&E) staining as the primary reference for tissue morphology and frequently cross-reference H&E to interpret MxIF findings. Methods We present a framework for aligning H&E and MxIF images at the tissue microarray (TMA) core level to support cross-modal analysis. Cell nucleus detections from each modality are used as anchor points, formulating the task as a point-set alignment problem. Coherent Point Drift (CPD) is applied for global alignment, followed by graph-matching–based refinement to improve local consistency. Evaluation on ovarian TMAs demonstrates consistent alignment performance for both restained and serial sections. We further explore the use of restained H&E as a reference for MxIF interpretation and investigate virtual H&E generation from MxIF data as a complementary approach when restained H&E is unavailable. Results The aligned images enable quantitative assessment of cross-modal feature concordance between MxIF-derived measurements and H&E morphology. The generated virtual H&E demonstrated similar cell population compared to the real H&E. Conclusions Cell-centric alignment can facilitate integrative multimodal histopathology analysis for TMA cores in spatial co-localization, cell feature validation, and virtual H&E generation.

PURPOSE Social determinants of health (SDOH) shape cancer treatment access, adherence, and outcomes, yet their collection and use within National Clinical Trials Network (NCTN) studies remain poorly defined. This study examined how demographic and SDOH-related variables were historically collected and published to identify gaps that constrain the study of social context within NCTN trials. METHODS Participant-level data from completed phase III trials for gastrointestinal (GI) cancers conducted by the Alliance for Clinical Trials in Oncology (Alliance) or its legacy groups from 1999 to 2018 were pooled. Thirteen measures were assessed: four demographic and nine SDOH-related. The proportion of individual participants with data collected for each measure was evaluated. Data utilization was evaluated for all primary articles and via targeted review of related publications using the number either reporting subgroups or publishing analyses for each measure. RESULTS A total of 12,701 participants across 11 trials were included. All trials collected demographic measures (<2% of patients missing), insurance status (1% missing), and ZIP code (3% missing). Education level was collected in two trials (28% missing) with marital and employment status collected in one trial (41% missing for both). No trials collected data on other SDOH-related measures. Education level was the only SDOH-related measure reported in primary articles, and none reported analysis of SDOH-related measures. Of the 149 related publications, <2% reported or analyzed any SDOH-related measure. CONCLUSION Across Alliance and NCTN legacy group phase III trials for GI cancers, demographic variables have been consistently collected and frequently reported or analyzed, whereas SDOH-related measures are inconsistently collected and rarely published in the literature. These findings demonstrate a historical absence of routine SDOH data capture and utilization within NCTN trials.