Faculty Bibliography

Mass univariate testing on functional connectivity MRI (fcMRI) data is limited by difficulties achieving experiment-wide significance. Recent work addressing this problem has used enrichment analysis, which aggregates univariate screening statistics for a set of variables into a single enrichment statistic. There have been promising results using this method to explore fcMRI-behavior associations. However, there has not yet been a rigorous examination of the statistical properties of enrichment analysis when applied to fcMRI data. Establishing power for fcMRI enrichment analysis will be important for future neuropsychiatric and cognitive neuroscience study designs that plan to include this method. Here, we use realistic simulation methods, which mimic the covariance structure of fcMRI data, to examine the false positive rate and statistical power of one technique for enrichment analysis, over-representation analysis. We find it can attain high power even for moderate effects and sample sizes, and it strongly outperforms univariate analysis. The false positive rate associated with permutation testing is robust.

OBJECTIVES/OBJECTIVE:To evaluate the yield of CT-guided biopsy of 18F-piflufolastat PET avid osseous lesions in suspected prostate metastases. METHODS:Retrospective review of computed tomography guided biopsies targeting 18F-piflufolastat avid lesions on PET/CT or PET/MR performed between 2022 and 2024. Demographics, image modality, biopsy system, number of cores, lesion location, lean body mass corrected SUV (SUL) and pathology were recorded. Biopsied lesions were compared to the PROMISE (prostate cancer molecular imaging standardized evaluation) scoring system, version 2. RESULTS:Eighteen patients were included, average age 68.7 years. Lesions were defined as: ≥ 50 % sclerotic (n = 10), <50 % sclerotic (n = 7), occult (n = 0), and lytic (n = 1). A technically successful pathologic diagnosis was made in 94 % of biopsies (n = 17). Histopathological diagnosis included: metastatic prostate adenocarcinoma (n = 12), benign with fibrotic/densely sclerotic bone or normocellular bone marrow (n = 5), and metastatic non-small cell lung carcinoma (n = 1). The median SUL on PET for all patients was 7.9 (IQR 13.3), 2.6 (0.3) for benign biopsies, and 8.8 (12.5) for malignant biopsies. Major identifiable differences between biopsies yielding a metastatic versus benign diagnosis included: higher SUL (p-value = 0.03), target lesion volume (p-value = 0.01), and higher incidence of sclerotic lesions (p value = 0.003); however, multivariate analysis did not find these to be statistically significant predictors (p-value >0.05). The prostate cancer lesion biopsy positive group had significantly higher PROMISE scores than the negative group (p = 0.03). CONCLUSION/CONCLUSIONS:CT-guided biopsy of bone lesions demonstrating avidity for 18F-piflufolastat can be performed with a high diagnostic yield.

Cancer is a systemic disease with complications beyond the primary tumor site. Among them, thrombosis is the second leading cause of death in patients with certain cancers (e.g., pancreatic ductal adenocarcinoma [PDAC]) and advanced-stage disease. Here, we demonstrate that pro-thrombotic small extracellular vesicles (sEVs) are secreted by C-X-C motif chemokine 13 (CXCL13)-reprogrammed interstitial macrophages in the non-metastatic lung microenvironment of multiple cancers, a niche that we define as the pro-thrombotic niche (PTN). These sEVs package clustered integrin β₂ that dimerizes with integrin α_X and interacts with platelet-bound glycoprotein (GP)Ib to induce platelet aggregation. Blocking integrin β₂ decreases both sEV-induced thrombosis and lung metastasis. Importantly, sEV-β₂ levels are elevated in the plasma of PDAC patients prior to thrombotic events compared with patients with no history of thrombosis. We show that lung PTN establishment is a systemic consequence of cancer progression and identify sEV-β₂ as a prognostic biomarker of thrombosis risk as well as a target to prevent thrombosis and metastasis.

In May 2023 the World Health Organization (WHO) declared the end of COVID-19 as a public health emergency. Seroprevalence studies performed in African countries, such as Cameroon, depicted a much higher COVID-19 burden than reported by the WHO. To better understand humoral responses kinetics following infection, we enrolled 333 participants from Yaoundé, Cameroon between March 2020 and January 2022. We measured the levels of antibodies targeting the SARS-CoV-2 receptor-binding-domain (RBD) and the Spike glycoproteins of Delta, Omicron BA.1 and BA.4/5 and the common cold coronavirus HCoV-OC43. We also evaluated plasma capacity to neutralize authentic SARS-CoV-2 virus and to mediate Antibody-Dependent Cellular Cytotoxicity (ADCC). Most individuals mounted a strong antibody response against SARS-CoV-2 Spike. Plasma neutralization waned faster than anti-Spike binding and ADCC. We observed differences in humoral responses by age and circulating variants. Altogether, we show a global overview of antibody dynamics and functionality against SARS-CoV-2 in Cameroon.

Individuals with heritable thoracic aortic disease (HTAD) face a high risk of deadly aortic dissections, but genetic testing identifies causative variants in only a minority of cases. We explored the contribution of non-canonical splice variants (NCVAS) to thoracic aortic disease (TAD) using SpliceAI and sequencing data from diverse cohorts, including 551 early-onset sporadic dissection cases and 437 HTAD probands with exome sequencing, 57 HTAD pedigrees with whole genome sequencing, and select sporadic cases with clinical panel testing. NCVAS were identified in syndromic HTAD genes such as FBN1, SMAD3, and COL3A1, including intronic variants in FBN1 in two Marfan syndrome (MFS) families. Validation in the Penn Medicine BioBank and UK Biobank showed enrichment of NCVAS in HTAD-associated genes among dissections. These findings suggest NCVAS are an underrecognized contributor to TAD, particularly in sporadic dissection and unsolved MFS cases, highlighting the potential of advanced splice prediction tools in genetic diagnostics.

High-dimensional multiplexed imaging can reveal the spatial organization of tumour tissues at the molecular level. However, owing to the scale and information complexity of the imaging data, it is challenging to discover and thoroughly characterize the heterogeneity of tumour microenvironments. Here we show that self-supervised representation learning on data from imaging mass cytometry can be leveraged to distinguish morphological differences in tumour microenvironments and to precisely characterize distinct microenvironment signatures. We used self-supervised masked image modelling to train a vision transformer that directly takes high-dimensional multiplexed mass-cytometry images. In contrast with traditional spatial analyses relying on cellular segmentation, the vision transformer is segmentation-free, uses pixel-level information, and retains information on the local morphology and biomarker distribution. By applying the vision transformer to a lung-tumour dataset, we identified and validated a monocytic signature that is associated with poor prognosis.

The mechanisms behind comorbid symptoms of depression in persons with epilepsy (PWE) remain largely unknown. Our study aimed to learn whether seizures moderate fluctuations in depressive symptoms in PWE when controlling for preictal symptoms of depression. We enrolled 57 adult PWE admitted to the New York University (NYU) Langone Epilepsy Monitoring Unit (EMU) from 2021 to 2024. Thirty-seven participants had a seizure. Twenty of the admitted patients did not have seizures during the admission period and therefore served as controls. All participants were seizure free for > 7 days prior to participation. Upon admission, all participants completed the Montgomery-Asberg Depression Rating Scale (MADRS) to evaluate baseline mood. The MADRS was repeated acutely (4-24 h post seizure or admission) and subacutely (2-7 days post seizure or discharge) for both groups. Linear regression models revealed that individuals with higher baseline MADRS scores (indicating higher depressive symptoms) experienced worse mood acutely post-seizure, while lower baseline MADRS scores were associated with acute mood improvement (R² = 0.59, p < 0.001). Experiencing a seizure was not associated with subacute mood outcomes, which were instead driven by acute mood state (R² = 0.56, p < 0.001). In conclusion, we found that seizures exacerbate pre-ictal depressive symptoms and that post-ictal depressive symptoms persist up to 7 days after seizure resolution. This study may provide evidence for a bidirectional relationship and demonstrate a vicious cycle between depression and epilepsy.