Citations

Abstract Triple-Negative Breast Cancer (TNBC) presents a significant clinical challenge due to its heterogeneity and lack of targeted treatment options, with chemotherapy and immunotherapy combinations currently serving as the main therapeutic strategy. Efforts to address TNBC heterogeneity have largely focused on classifying intrinsic cancer subtypes based on differential tumor mRNA expression, a strategy that has proven effective in hormone receptor-positive breast cancers but has yet to yield a clinically useful predictor of survival or treatment response in TNBC. We hypothesize that both the intrinsic characteristics of TNBC and the surrounding immune microenvironment influence treatment outcomes and that immune cell infiltration affects TNBC subtype classification and response variability. To explore this hypothesis, we compared the predictive and prognostic capabilities of cancer subtype-based (TNBC-type) gene signatures and immune cell deconvolution methods (CIBERSORT) within the same TNBC datasets. We found that immune cell abundance outperformed TNBC subtype-signatures and multicellular immune cell aggregates showed the highest performance of all. More specifically, aggregate immune cells associated with tertiary lymphoid structures and tumor associated macrophages/monocytes demonstrated statistically significant predictive value. These findings were confirmed in an independent cohort of 67 TNBC patients treated with neoadjuvant chemotherapy. Further, single-cell RNA sequencing analysis revealed that the predictive power of cancer-subtype could be partially explained by immune- and stromal features. Examination of single-cell resolution spatial transcriptomic data confirmed presence of TLS-like, TAM- and cancer-stromal niches within TNBC biopsy samples that were associated with treatment response. Overall, our results highlight that immune cell aggregates, which capture the spatial organization of the TME, outperform cell-type specific gene signatures in predicting TNBC outcomes. Our novel approach provides a robust framework for interpreting spatial relationships in bulk RNA-seq data, offering a pathway for reconciling past data with current advancements in spatial profiling technologies. This work paves the way for future studies to leverage the multi-cellular complexity of TNBC, enhancing diagnostic precision and facilitating the development of therapies that strategically modulate the tumor microenvironment for improved anti-cancer responses.

ABSTRACT HLA‐DRB1*10:52 is characterised by a single nucleotide substitution in codon 133 in exon 3.

ABSTRACT The HLA‐DQA1*01:205N allele is characterised by a nonsense mutation in codon 114 in exon 3.

Background Immune checkpoint inhibitors (ICI) improve cancer outcomes but are associated with increased atherosclerotic cardiovascular risk. Opportunistic coronary artery calcium (CAC) assessment from routine non-gated computed tomography (CT) using artificial intelligence (AI) may enable rapid cardiovascular risk stratification in this population. We evaluated the association between AI-derived CAC (AI-CAC) scores and 1-year myocardial infarction (MI) and all-cause mortality in patients receiving ICI therapy. Methods We conducted a retrospective multicenter study across three Mayo Clinic sites including patients who underwent chest CT within 3 months prior to ICI initiation between 2011 and 2022. Patients with prior coronary revascularization were excluded. AI-CAC scores derived from non-gated CT scans were categorized as 0, 1–99, 100–399, and ≥400. Cox regression analyses assessed associations with 1-year MI and all-cause mortality. Results Among 1,873 patients (mean age 66 years; 43% women), lung cancer was most common (50.3%), and 91% had at least one cardiovascular risk factor. Higher CAC burden was associated with increased 1-year MI risk (overall p=0.0032). AI-CAC was not associated with all-cause mortality (p=0.79), likely reflecting high cancer-related mortality (50.7% at 1 year). Only 15% of patients were receiving statins despite one-third having CAC >100. Conclusions Opportunistic AI-CAC assessment from routine CT scans provides modest prognostic value for MI risk among patients receiving ICI therapy and may identify opportunities to optimize preventive cardiovascular care. Elevated CAC should prompt risk factor modification rather than influence ICI treatment decisions. Prospective studies are warranted to evaluate clinical implementation and outcomes.

ABSTRACT Introduction The insula is an increasingly important target for functional neurosurgery given its involvement in a range of neurological and neuropsychiatric disorders, including epilepsy and chronic pain. As this practice evolves, optimal targeting will require standardized outcome measures that relate electrode or laser trajectory to postprocedural outcome. Traditional whole- brain registration approaches fail to capture the substantial person-to-person variability in insular gyral configuration, including the relative internal rotation of the insular gyri with respect to standard stereotactic space. Objective We propose and validate a stereotactic coordinate system based on local anatomical landmarks to facilitate surgical planning and standardized outcome assessment within the insular cortex. Methods Our approach transforms brain MRI first into standard AC-PC space, and then into an insular-specific space defined by five anatomical landmarks: four points along the central sulcus of the insula and one point at the middle cerebral artery (MCA) bifurcation (at the limen insulae). The system calculates two angles - θ (axial) and φ (sagittal) - between the AC-PC line and the insular axis, and the brain volume undergoes sequential rotation through these angles followed by translation to place the coordinate system’s origin along the insular axis. Results In a sample of 32 patients, the angle between the AC-PC line and the insular axis ranged from -17° to 17° in the axial plane (θ) and 31° to 69° in the sagittal plane (φ). In the resulting coordinate system, the insular axis defines z = 0 and the MCA turning point defines y = 0. We developed a custom, open-access MATLAB graphical interface that allows intuitive implementation of this system for both surgical planning and postoperative analysis; implanted electrodes, laser fiber position, and ablation geometry can each be localized within this common space. As a demonstration of its utility for pooling data across subjects, we applied the transformation to a previously acquired intracranial electrophysiology dataset and found that anatomically consistent, effector-specific motor representations emerged across 18 subjects once electrode positions were expressed in insular-specific coordinates. Conclusion As stereotactic surgery for insular targets becomes more common with expanding scientific inquiry, an insular-specific coordinate system may facilitate operative planning and functional mapping, and may help standardize outcome assessment across patients and institutions. SIGNIFICANCE STATEMENT The insular cortex represents an increasingly important surgical target for therapeutic interventions, yet substantial person-to-person anatomical variability hampers standardized targeting and outcome comparison. The insula is simultaneously the subject of expanding scientific inquiry — into interoception, pain, autonomic regulation, salience processing, and sensorimotor representation — much of it now pursued through intracranial recording and stimulation in humans, where cohorts are small, electrode sampling is idiosyncratic, and progress therefore depends on pooling data across patients in a frame that respects insular gyral architecture. We present “ Insulotaxy ,” a stereotactic coordinate system built from consistent, easily identifiable local anatomical landmarks that accounts for the insula’s unique rotational relationship to standard brain coordinates. An open-source MATLAB tool transforms imaging into insular-specific coordinates, facilitating surgical planning for ablation and electrode placement while enabling standardized outcome reporting across institutions. By providing locally anchored, anatomically aligned coordinates rather than relying on whole-brain registration, this framework addresses a practical gap in functional neurosurgery and lays a foundation for pooling clinical and electrophysiological data as insular interventions become more prevalent.

Background: Traditional educational methods often require protected time away from clinical duties, can be difficult to attend because of staffing or scheduling constraints, and may not consistently engage learners or meet individual learning needs. This article describes a gamified in situ microlearning approach to nursing professional development within the clinical practice setting that was designed to improve confidence and knowledge retention while maintaining staff satisfaction. Method: The educational intervention was provided in the clinical setting to avoid scheduling conflicts and interruptions in care. Results: Education on 18 topics was provided over 12 months. The gamified microlearning was associated with increased self-reported confidence without negatively impacting satisfaction. Conclusion: Gamified in situ microlearning can serve as a valuable adjunct to nursing professional development.

ABSTRACT Herpes simplex virus type 1 (HSV-1), herpes simplex virus type 2 (HSV-2), and varicella-zoster virus (VZV) are associated with a range of clinical manifestations depending on the anatomical site of infection. HSV and VZV lesions often exhibit similar phenotypical characteristics, making clinical differentiation challenging. Detection and differentiation of HSV-1, HSV-2, and VZV are essential for diagnosis and treatment management. An automated multiplex real-time PCR assay, Alinity m HSV 1 & 2/VZV assay, was developed to detect and differentiate HSV-1, HSV-2, and VZV. The assay was validated for use with cutaneous and mucocutaneous lesion swab specimens collected in commercial viral transport media from symptomatic patients. The assay demonstrated a limit of detection of 5.90 TCID 50 /mL for HSV-1, 2.07 TCID 50 /mL for HSV-2, and 0.055 TCID 50 /mL for VZV. Testing with clinical swab specimens demonstrated greater than 95% clinical sensitivity and specificity for all three analytes. The Alinity m HSV 1 & 2/VZV assay provides a reliable and accurate method for detection and differentiation of HSV-1, HSV-2, and VZV in lesion swab specimens for improved diagnostic accuracy and patient management. IMPORTANCE Herpes simplex virus type 1 (HSV-1), herpes simplex virus type 2 (HSV-2), and varicella-zoster virus (VZV) can cause skin and mucocutaneous lesions that often appear clinically similar, making accurate diagnosis difficult without laboratory testing. Rapid and reliable identification of the causative virus is important because patient counseling, treatment decisions, and infection management differ among these infections. In this multicenter study, a fully automated molecular assay was evaluated that simultaneously detects and differentiates HSV-1, HSV-2, and VZV from a single-lesion swab specimen. Testing of more than 1,200 clinical specimens demonstrated high sensitivity and specificity for all three viruses. The assay also offers a streamlined workflow with minimal hands-on time and rapid turnaround. These findings support the use of this multiplex assay as a practical diagnostic tool that can improve laboratory efficiency and provide clinicians with timely, accurate results to guide patient care.

The American Joint Committee on Cancer/ Union for International Cancer Control version 9 TNM staging system for human papillomavirus (HPV)–associated oropharyngeal squamous cell carcinoma provides an updated framework for radiology reporting, incorporating cautious assessment of unequivocal imaging-detected extranodal extension and acknowledging the emerging, complementary role of circulating tumor tissue–modified viral HPV DNA in surveillance.

BACKGROUND AND OBJECTIVES: Medical management options for nontraumatic subdural hematoma (SDH) remain limited, with only atorvastatin demonstrating benefit in a single phase 2 randomized clinical trial and mixed evidence for dexamethasone. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) may benefit SDH outcomes. The objective of this study was to evaluate the association between GLP-1 RA use and rescue surgery rates and mortality in patients with medically managed nontraumatic SDH. METHODS: We conducted a retrospective cohort study using the TriNetX database from 2016 to 2025, including adults with SDH who were managed conservatively without surgical evacuation or middle meningeal artery embolization. Patients prescribed GLP-1 RAs were compared with nonusers. After propensity matching, rescue surgical evacuation, all-cause mortality at 1 year, and GLP-1 RA–associated adverse events were analyzed. RESULTS: A total of 134 901 patients with conservatively managed nontraumatic SDH were identified, of whom 1470 (1.1%) were GLP-1 RA users. After propensity score matching, 2922 patients remained, with 1461 in each group. At 1 year, GLP-1 RA users experienced significantly lower rates of rescue surgery (2.23% vs 3.51%; P = .046), culminating in an overall 38% reduction in relative hazard. All-cause mortality was also significantly lower for GLP-1 RA users at 1 year (16.1% vs 23.7%, P < .001), reflecting a 33% reduction in hazards. GLP-1 RA users did not experience different rates of adverse events, such as pancreatitis, gallbladder disease, or ileus/bowel obstruction (all P > .05). CONCLUSION: Among patients with medically managed nontraumatic SDH, GLP-1 RA use was associated with significantly lower rates of rescue surgery and all-cause mortality without significantly increased risk of common GLP-1 RA–related complications.

Abstract Introduction Fetal growth restriction (FGR) is associated with an increased risk of neonatal morbidity and mortality. Current diagnostic criteria for FGR do not discriminate between constitutionally small and pathologically restricted fetuses. Following FGR diagnosis, umbilical artery (UA) Doppler is utilized to monitor fetal well‐being, but its limitations have increased interest in investigating growth velocity as an adjunctive tool. The objective of this study is to compare the predictive ability of UA Doppler studies and growth velocity for adverse neonatal outcomes in growth‐restricted fetuses. Methods This is a secondary analysis of a cohort of pregnancies delivered in a single healthcare network from August 2017 to December 2022, diagnosed antenatally with FGR. The cohort was restricted to those with baseline estimated fetal weight (EFW) between the 3rd and 50th percentiles. All subjects had growth velocity measured (defined as EFW percentile change per week between baseline and subsequent ultrasound). The primary outcome was a composite of neonatal morbidity (neonatal intensive care unit [NICU] admission, low 5‐min Appearance, Pulse, Grimace, Activity, Respiration score [<7], intraventricular hemorrhage, necrotizing enterocolitis, or metabolic acidosis) and severe adverse perinatal events (stillbirth or neonatal death, hypoxic ischemic encephalopathy, mechanical ventilation, or severe metabolic acidosis [pH < 7.0]). Neonatal morbidity and severe adverse perinatal events were analyzed separately as secondary outcomes. Independence between growth velocity and S/D ratio was evaluated. Univariate logistic regression models were then performed, with each outcome of interest as the dependent variable and S/D ratio and growth velocity as independent variables. Receiver operating characteristic (ROC) curves were generated to compare the performance of both tests. Results A total of 172 patients were included in the analysis. UA Doppler data were available for 165 patients, 15.3% of whom had S/D ratio >95th percentile; none demonstrated absent or reversed end‐diastolic flow. There was no correlation observed between S/D ratio percentile and growth velocity, suggesting independence. ROC analysis demonstrated that the discriminatory ability of growth velocity was higher across outcomes with areas under the curve (AUC) ranging from 0.65 to 0.69 while AUC for S/D ratio percentiles ranged from 0.51 to 0.53, approximating the performance of chance. Higher growth velocity was significantly associated with reduced odds of the composite outcome (odds ratio [OR], 0.79; 95% confidence interval [CI], 0.69–0.90), and neonatal morbidity (OR, 0.84; 95% CI, 0.73–0.95). S/D ratio percentile was not associated with these outcomes. Conclusion In pregnancies complicated by growth restriction with forward UA flow, growth velocity outperformed S/D ratio percentile in predicting adverse outcomes. The two tests were independent, indicating that growth velocity may reflect a component of fetal development not captured by UA Doppler. These results suggest that growth velocity could be used in addition to UA Doppler studies for fetal risk assessment, especially in fetuses with forward arterial flow.