Medicine and Health Sciences Commons^™

Thermodynamic Stability Modulates Chaperone-Mediated Disaggregation Of Α-Synuclein Fibrils, Celia Fricke, Antonin Kunka, Rasmus K Norrild, Shuangyan Wang, Thi Lieu Dang, Jonas Folke, Mohammad Shahnawaz, Claudio Soto, Susana Aznar, Anne S Wentink, Bernd Bukau, Alexander K Buell

Faculty, Staff and Student Publications

Aggregation of the intrinsically disordered protein alpha-synuclein into amyloid fibrils and their subsequent intracellular accumulation are hallmark features of several neurodegenerative disorders, including Parkinson's disease, for which no curative treatments currently exist. In this study, we investigate the relationship between fibril morphology, thermodynamic stability, and susceptibility to disaggregation by the human chaperone system comprising HSP70, DNAJB1, and Apg2. By varying assembly conditions and incubation times, we generated alpha-synuclein fibrils with diverse morphological and biochemical properties, including a broad range of thermodynamic stabilities, which we quantified using a chemical depolymerization assay. The chaperone system effectively disaggregated three of the four fibril …

Characterization Of Inflammatory Pseudotumors In A Large Animal Model Of Liver Cancer, Erik N K Cressman, Samantha Hicks, Natalie W Fowlkes, Danielle L Stolley, Maria Sophia Stenkamp

Faculty, Staff and Student Publications

Background: The development of relevant and robust large animal models of hepatocellular carcinoma is needed to test new therapeutic strategies for this disease. Transgenic approaches hold promise in addressing this complex problem. One such model, the Oncopig, has been reported to develop tumors of up to 4 cm in diameter within 7-14 days at sites of in situ vector inoculation. However, the resulting lesions reportedly contained an extensive inflammatory component that has not been evaluated in detail.

Methods: Herein, we describe our results from multiparametric characterization of the lesions generated using liver biopsy cores incubated in vector solution and replaced …

Loss Of Kdm6a-Mediated Genomic Instability And Metabolic Reprogramming Regulates Response To Therapeutic Perturbations In Bladder Cancer, Pratishtha Singh, Ranit D'Rozario, Bidisha Chakraborty, Swadhin Meher, Deblina Raychaudhuri, Aminah J Tannir, Yang Li, Anurag Majumdar, Jessalyn Hawkins, Yun Xiong, Philip Lorenzi, Padmanee Sharma, Kadir Akdemir, Patrick Pilie, Abhinav K Jain, Byron Hing Lung Lee, Sangeeta Goswami

Faculty, Staff and Student Publications

Mutations in epigenetic regulators are common in bladder cancer, yet their impact on therapeutic responses remains unclear. Here, we identify that loss-of-function mutations in KDM6A, a histone demethylase altered in about 26% of advanced bladder cancers, are associated with poor survival after cisplatin chemotherapy, whereas they correlate with improved outcomes with anti-PD-1 therapy. Using CRISPR-Cas9-engineered murine and human bladder cancer models, we show that KDM6A deficiency increases formation of extrachromosomal circular DNA carrying chemoresistance loci, promoting cisplatin resistance. In parallel, KDM6A loss impairs DNA repair and rewires tumor metabolism, reducing glycolysis and lactate output. This metabolic shift diminishes histone lactylation …

3d Reconstruction Of Spatial Transcriptomics With Spatial Pattern Enhanced Graph Convolutional Neural Network, Chen Tang, Yuansheng Zhou, Xue Xiao, Lei Dong, Lei Yu, Qiwei Li, Guanghua Xiao, Lin Xu

Faculty, Staff and Student Publications

Spatially resolved transcriptomics (SRT) is a promising new technology that enables simultaneous analysis of gene expression and spatial information for biomedical research. However, the existing statistical and deep learning algorithms used for analyzing SRT data rely solely on two-dimensional (2D) spatial coordinates, which limits their ability to accurately identify spatial domains, spatially variable genes (SVGs), cell-to-cell communications, and developmental trajectories in a three-dimensional (3D) spatial manner. To address these limitations, we introduced Spa3D, which utilized the anti-leakage Fourier transform and graph convolutional neural network model to reconstruct 3D-based spatial structures from multiple 2D SRT slices. We demonstrate that Spa3D is …

Defective Dna Damage Response Is A Targetable Therapeutic Vulnerability In Esr1 Mutant Breast Cancer, Sarah K Herzog, Jessica H Stevens, Guowei Gu, Sandra L Grimm, Kloma Cardoza, Autumn G M Hawkins, Hangqing Lin, Daniela Ramos, Amanda R Beyer, David G Edwards, Derek Dustin, Harry J Yang, Nicole Liang, Ashfia F Khan, Tasneem Bawa-Khalfe, Daniel J Mcgrail, Shiaw-Yih Lin, Cristian Coarfa, Suzanne A W Fuqua

Faculty, Staff and Student Publications

ESR1 mutations are the leading cause of endocrine therapy resistance and progression in ER-positive metastatic breast cancer. ESR1 mutations are detected in ~50% of metastatic breast cancer patients, and identification of effective targeted therapeutics are critically needed. Here, we identified enrichment of dysregulated replication stress and DNA damage responses in multiple ESR1 mutant models. Targeting the replication stress response utilizing checkpoint inhibition in combination with PARP inhibition synergistically suppressed growth, induced cell cycle arrest, and attenuated DNA replication. PARP inhibition blocked metastatic dissemination in vivo and reduced both PARP1 and ER-regulated protein expression. PARP trapping by olaparib treatment with or …

Machine Learning-Based Multimodal Biomarkers Enable Accurate Diagnosis And Early Detection Of Pancreatic Ductal Adenocarcinoma, Tsung-Hung Yao, Warapen Treekitkarnmongkol, Nagireddy Putluri, Deivendran Sankaran, Tristian Nguyen, Seetharaman Balasenthil, Mark W Hurd, Meng Chen, Randall E Brand, Paul D Lampe, Abu Hena M Kamal, Vasanta Putluri, Tony Y Hu, Anirban Maitra, Eugene J Koay, Ann M Killary, Subrata Sen, Suprateek Kundu

Faculty, Staff and Students Publications

While there has been some progress on discovering clinically validated biomarkers for early detection in pancreatic ductal adenocarcinoma (PDAC), several challenges remain. Most approaches rely on single-modality biomarkers with limited sensitivity and/or specificity. Using data from a multicenter study with an age-matched cohort (n = 203 with healthy controls n = 46, pancreatitis controls n = 36, and diagnosed cases n = 121), we developed a machine learning approach integrating 2,096 microRNAs, 125 metabolites, and CA19-9. Our method performs unsupervised selection of an optimal subset of biomarkers with maximal discriminatory power for diagnosis and early detection. In training data, the …

Spatially Resolved Integrative Analysis Of Transcriptomic And Metabolomic Changes In Tissue Injury Studies, Eleanor C Williams, Lovisa Franzén, Martina Olsson Lindvall, Gregory Hamm, Steven Oag, Muntasir Mamun Majumder, James Denholm, Azam Hamidinekoo, Javier Escudero Morlanes, Marco Vicari, Joakim Lundeberg, Laura Setyo, Trevor M Godfrey, Livia S Eberlin, Aleksandr Zakirov, Jorrit J Hornberg, Marianna Stamou, Patrik L Ståhl, Anna Ollerstam, Jennifer Y Tan, Irina Mohorianu

Faculty, Staff and Students Publications

Recent developments in spatially resolved -omics have enabled the joint study of gene expression, metabolite levels and tissue morphology, offering greater insights into biological pathways. Integrating these modalities from matched tissue sections to probe spatially-coordinated processes, however, remains challenging. Here we introduce MAGPIE, a framework for co-registering spatially resolved transcriptomics, metabolomics, and tissue morphology from the same or consecutive sections. We show MAGPIE's generalisability and scalability on spatial multi-omics data from multiple tissues, combining Visium with MALDI and DESI mass spectrometry imaging. MAGPIE was also applied to new multi-modal datasets generated with a specialised sampling strategy to characterise the metabolic …

Pathways, Outputs And Impact Of Nih-Supported Bioinformatics And Genomics Graduate Trainees In Africa, Daudi Jjingo, Andrew Walakira, Suhaila Hashim, Cisse Cheickna, Ronald Galiwango, Caleb Kibet, Florence N Kivunike, Gerald Mboowa, Fredrick Elishama Kakembo, Babajide Ayodele, Jean-Baka Domelevo Entfellner, Santie De Villiers, Karen Wambui, Segun Fatumo, Tinashe Chikowore, John Mukisa, Alfred Ssekagiri, Nicholas Bbosa, Julius Mulindwa, Samuel Kyobe, Mike Nsubuga, Grace Kebirungi, Eric Katagirya, Savannah Mwesigwa, Ibra Lujumba, Rogers Kamulegeya, Samuel Kirimunda, Stephen Kanyerezi, Shahiid Kiyaga, Ivan Sserwadda, Davis Kiberu, Bernard S Bagaya, Julius Okwir, Patricia Nabisubi, Grace Nabakooza, Mugume Twinamatsiko Atwine, Ricard Sserunjogi, Rolanda Julius, Mariam Quiñones, Meghan Mccarthy, Phillip Cruz, Karlynn Noble, Christopher J Whalen, Darrell Hurt, Maria Y Giovanni, Michael Tartakovsky, Deogratius Ssemwanga, John M Kitayimbwa, Steven J Reynolds, Christopher C Whalen, Andrew Kambugu, Neil A Hanchard, Li Jian, Peter Amoako-Yirenkyi, Graeme Mardon, I King Jordan, Samson Pandam Salifu, Mamadou Wele, Ezekiel Adebiyi, Jeffrey G Shaffer, Seydou Doumbia, David Patrick Kateete, Michelle Skelton, Nicola Mulder, Jonathan K Kayondo, Daniel Masiga, H3africa Consortium

Faculty, Staff and Students Publications

Global biomedical and health research is increasingly relying on genomic and computational approaches, largely driven by the increasing volumes of nucleic acid sequencing. Concurrently, epidemiological studies and clinical records are generating enormous amounts of data amenable to disease modeling, machine learning, and artificial intelligence techniques. Bioinformatics and data science expertise is therefore essential for improved population health. Accordingly, in 2012, the US National Institutes of Health (NIH) in partnership with the Wellcome Trust, and with support from the African Society for Human Genetics, initiated the H3Africa (Human Heredity and Health in Africa) consortium. One of its key goals was to …

The Vascular Density/Angiogenesis Marker Cd31/Pecam1 Does Not Correlate With Overall Survival In Neuroendocrine Tumors, Nicholas J. Skill, Kenneth Avanzino, Yvette Bren-Mattison, J. Philip Boudreaux, Ramcharan Thiagarajan, Mary Maluccio

School of Medicine Faculty Publications

Abstract: Neuroendocrine neoplasms (NENs) are rare cancers. CD31/PECAM1 is an adhesion molecule that modulates endothelial cell-to-cell contact. Increased CD31 expression is a marker for tumor growth, and cancer aggressiveness. The purpose of this study was to better understand the prognostic value of CD31 expression in primary and metastatic NEN tumors in terms of correlations with overall survival and pathological metrics, tumor grade, and tumor primary/metastatic location. As NENs are highly vascular tumors, the hypothesis is that CD31 staining is an important prognostic biomarker and target. This is based on prior correlations between CD31 staining and 3-year recurrence-free survival in pancreas …

The Virtual Kitchen Challenge-Version 2: Validation Of A Digital Assessment Of Everyday Function In Older Adults, Marina Kaplan, Moira Mckniff, Stephanie M. Simone, Molly B. Tassoni, Katherine Hackett, Sophia Holmqvist, Rachel E. Mis, Kimberly Halberstadter, Riya Chaturvedi, Melissa Rosahl, Giuliana Vallecorsa, Mijail Serruya, Deborah A. G. Drabick, Takehiko Yamaguchi, Tania Giovannetti

Department of Medicine Faculty Papers

BACKGROUND: Conventional methods of functional assessment include subjective self- or informant report, which may be biased by personal characteristics, cognitive abilities, and lack of standardization (eg, influence of idiosyncratic task demands). Traditional performance-based assessments offer some advantages over self- or informant reports but are time-consuming to administer and score.

OBJECTIVE: This study aims to evaluate the validity and reliability of the Virtual Kitchen Challenge-Version 2 (VKC-2), an objective, standardized, and highly efficient alternative to current functional assessments for older adults across the spectrum of cognitive aging, from preclinical to mild dementia.

METHODS: A total of 236 community-dwelling, diverse older adults …

Neuronal Subtype Governs Amyloid Structure, Cellular Response, And Cognitive Outcome In Genetically Targeted App Mouse Models, Gabriella A Perez, Zoe Lai, George A Edwards Iii, Jacob M Dundee, Shannon N Leahy, Chuangye Qi, Yanyan Qi, Ye-Jin Park, Tzu-Chiao Lu, M Danish Uddin, Rong Zhao, Hui Zheng, Hongjie Li, Joanna L Jankowsky

2020-Current year OA Pubs

Pathological heterogeneity is increasingly appreciated in Alzheimer’s disease, yet we do not know how distinct aggregate conformations arise or influence cognitive outcomes. In an amyloid mouse model, we found that different brain regions formed structurally distinct Aβ deposits, prompting us to test whether neuronal subtypes shape aggregate conformation. To address this, we created transgenic mice expressing the same APP construct in either glutamatergic or GABAergic neurons. APP expression in GABAergic neurons resulted in diffuse plaques with high Aβ42/Aβ40 ratios and minimal gliosis, while glutamatergic expression produced neuritic plaques with activated glia. Despite similar Aβ levels, only mice with neuritic plaques …

Bio-Adrenomedullin Predicts Death And Major Adverse Cardiovascular Events In Cardiac Amyloidosis: A Cross-Continental Multicenter Study, Maximilian L Müller, Fabian Knebel, Katrin Hahn, Janin Schulte, Birte Arlt, Oliver Hartmann, Kaitlin M S Moore, Seiji Takashio, Yasuhiro Izumiya, Joshua D Mitchell, Kenichi Tsujita, Ulf Landmesser, Bettina Heidecker

2020-Current year OA Pubs

BACKGROUND: Bio-ADM (bioactive adrenomedullin) is a vasoactive peptide hormone that predicts clinical outcomes in heart failure-the main driver of adverse outcomes in cardiac amyloidosis (CA). This prospective observational study sought to assess the prognostic role of bio-ADM in CA.

METHODS: Patients with CA were enrolled from amyloid centers in Germany (observation cohort), Japan, and the United States (combined validation cohort). Bio-ADM was quantified using the sphingotest bio-ADM assay. Associations of bio-ADM with all-cause death and major adverse cardiovascular events over 2 years were assessed using Kaplan-Meier and Cox regression analyses. Likelihood ratio chi-square tests for nested models evaluated whether adding …

Intravenous Thrombolysis In Patients On Direct Oral Anticoagulants: Analysis Of The Get With The Guidelines Stroke Registry, Shadi Yaghi, Opeolu Adeoye, Et Al.

2020-Current year OA Pubs

BACKGROUND: Intravenous thrombolysis for acute ischemic stroke (AIS) is a proven effective treatment. Whether thrombolysis in patients with AIS with recent direct oral anticoagulant (DOAC) use is safe and efficacious is not well established. We aimed to compare outcomes of patients with AIS and recent DOAC use who received thrombolysis to those otherwise eligible but excluded due to recent DOAC use.

METHODS: This study included patients for the GWTG (Get With The Guidelines) registry with a diagnosis of AIS within 4.5 hours from last known normal, on a DOAC, and either (1) received intravenous thrombolysis, or (2) were excluded from …

Association Between Monoclonal Gammopathy Of Undetermined Significance And Cardiovascular Disease Risk: A Veterans Health Administration Study, Tzeyu L Michaud, Mei Wang, Daphne R Friedman, Lawrence Liu, Theodore S Thomas, Kristen M Sanfilippo, Graham A Colditz, Martin W Schoen, Su-Hsin Chang

2020-Current year OA Pubs

BACKGROUND: Monoclonal gammopathy of undetermined significance (MGUS) is associated with an increased risk of cardiovascular disease (CVD). However, its potential to provide additional prognostic information beyond traditional CVD risk assessments remains unknown. This study aimed to examine the association between MGUS and incident CVD and to determine whether MGUS status offers additional prognostic value beyond the established atherosclerotic cardiovascular disease risk calculation.

METHODS: We conducted a retrospective, matched observational study using 2010 to 2021 Veterans Health Administration data. MGUS status, confirmed through a validated natural language processing algorithm, were 1:5 matched to individuals without MGUS. The outcome of interest was …

Durability Of The Benefit Of Vagus Nerve Stimulation In Markedly Treatment-Resistant Major Depression: A Recover Trial Report, Charles R Conway, Christopher L Kriedt, Charles F Zorumski, Hunter Brown, Et Al.

2020-Current year OA Pubs

IMPORTANCE: Greater levels of treatment resistance in major depressive disorder (MDD) are associated with lower rates of initial benefit and higher rates of relapse (lower durability).

OBJECTIVE: Characterize depressive symptoms, function, and quality of life (QoL) over 24 months of adjunctive vagus nerve stimulation (VNS) in participants with markedly treatment-resistant depression.

DESIGN: Prospective, open-label, single-arm, long-term extension study (RECOVER) conducted from September 2019 to April 2025.

SETTING: Outpatient.

PARTICIPANTS: Adults with moderate-severe MDD with ≥ 4 failed antidepressant trials in the current episode, randomized to blinded, adjunctive VNS for 12 months, who subsequently received open-label, adjunctive VNS for 12 additional …

Mass Spectrometry Footprinting Reveals How Kinetic Stabilizers Counteract Transthyretin Dynamics Altered By Pathogenic Mutations, Francisca Pinheiro, Ravi Kant, Saketh Chemuru, Nathalia Varejão, Adrián Velázquez-Campoy, David Reverter, Irantzu Pallarès, Michael L Gross, Salvador Ventura

2020-Current year OA Pubs

The aggregation of transthyretin (TTR) results in life-threatening transthyretin amyloidosis. Familial forms of the disease arise from point mutations that destabilize the TTR tetramer, leading to its dissociation and/or monomer unfolding and subsequent formation of amyloid fibrils. Small molecules that kinetically stabilize the native tetramer effectively inhibit this aggregation. Although over 300 X-ray crystal structures of TTR have been determined, these data refer to a static structure and do not capture the conformational effects of mutations and ligand binding. Here, we demonstrate that hydrogen-deuterium exchange (HDX) and fast photochemical oxidation of proteins (FPOP) coupled with mass spectrometry (MS) offer critical …

Polymer Conformational Entropy As The Driver Of Complex Coacervation, Tommaso Inzani, Giovanni Nava, Marco Buscaglia, Andrea Soranno, Alessandro Gori, Greta Bergamaschi, Samir Suweis, Amos Maritan, Tommaso Bellini

2020-Current year OA Pubs

Understanding the mechanisms leading to complex coacervation is a fundamental challenge in biomolecular sciences. Here, we explored the condensation transition and pretransitional behavior of an archetypal system consisting of polyuridylic acid chains (PolyU) and short cationic peptides in buffered aqueous solutions. By combining static and dynamic light scattering with confocal microscopy, we determined the location of the transition and the partitioning of PolyU and peptides between the coexisting phases as a function of the total peptides/PolyU ratio. We find that upon adding peptides in the system, the size of PolyU coils in the single-phase region is progressively reduced by peptide-mediated …

What Is The Psychological And Cognitive Impact Of Returning Alzheimer Disease Dementia Research Results To Healthy Research Participants? A Delayed-Start Randomised Clinical Trial Protocol For The Weshare Study (Washington University Study Of Having Alzheimer Disease), Sarah M Hartz, Spondita Goswami, Amy Oliver, Alissa Evans, Sacha Jackson, Erin Linnenbringer, Krista M Moulder, John C Morris, Jessica Mozersky

2020-Current year OA Pubs

INTRODUCTION: Returning research results that indicate risk of Alzheimer disease (AD) dementia-a disease for which no meaningful treatments or cure exist-to cognitively normal participants is controversial. AD is thought to begin many years before clinical signs and symptoms begin. During this time, individuals are cognitively normal but have biomarkers that indicate pathophysiological changes in the brain. With this study, we aim to evaluate the impact of returning research results on cognitively normal participants recruited from a longitudinal observational cohort on ageing at the Knight Alzheimer Disease Research Centre (Knight ADRC) at Washington University in St. Louis.

METHODS AND ANALYSIS: Our …

Stimulus-Driven Cerebrospinal Fluid Dynamics Is Impaired In Glaucoma Patients, Ji Won Bang, Carlos Parra, Kevin Yu, Hyun Seo Lee, Gadi Wollstein, Joel Schuman, Kevin Chan

Wills Eye Hospital Papers

Cerebrospinal fluid (CSF), partly driven by sensory stimulation, is crucial for maintaining homeostasis and clearing metabolic waste. Whether such stimulus-driven CSF flow is disrupted in age-related neurodegenerative diseases of the visual system remains unclear. This study examined the CSF flow during visual stimulation in glaucoma patients and healthy older adults using functional magnetic resonance imaging. In glaucoma, CSF inflow becomes progressively decoupled from the visually evoked blood-oxygenation-level-dependent (BOLD) response. Specifically, the characteristic stimulus-locked CSF patterns, which decrease after stimulus onset and increase after offset, diminish with disease severity. Mediation analysis suggests this flattened CSF pattern is driven by a flatter …

State Prior Authorization Prohibitions And Buprenorphine Retention Among Privately Insured Patients, Ju-Chen Hu, Shashi N. Kapadia, Hao Zhang, Ali Jalali, Kristen Underhill, Christina Andrews Ph.D., Yuhua Bao

Faculty Publications

Importance  Buprenorphine is the most commonly prescribed medication for opioid use disorder, but rates of retention in treatment remain low. Prior authorization (PA) has been identified as a barrier to the administration of buprenorphine, and patients may need multiple PAs to continue treatment; thus, many states have passed laws to prohibit the use of PA for buprenorphine in private insurance.

Objective  To examine the association between PA prohibitions and buprenorphine treatment retention overall and by branded vs generic drug status.

Design, Setting, and Participants  This cross-sectional study used a difference-in-differences design and private insurance claims data from 49 states and …

Multiple Myeloma Risk Linked To Dna Damage Response Genes, Michael Conry, Irina Ostrovnaya, Yelena Kemel, Saloni Sinha, Linda B. Baughn, Brian Avery, Kylee Maclachlan, Victoria Groner, Lauren Banaszak, Aaron Norman, Nicholas J. Boddicker, Alyssa I. Clay-Gilmour Ph.D., Shaji Kumar, Ellen Kim, Sita Dandiker, Mitul Waghmare, Susan Slager, Douglas Sborov, Judy Garber, Elizabeth E. Brown, Michelle Hildebrandt, Et. Al.

Faculty Publications

Background DNA damage response genes (DDRG), implicated in several cancers as both predisposing risk factors as well as biomarkers for aggressiveness, have not been fully explored in multiple myeloma (MM).

Methods Herein, we analyzed disease associations of pathogenic variations in nine putative candidate genes using 3 446 MM cases and 323 233 cancer-free controls.

Results Increased MM risk was found to be associated with inherited rare pathogenic mutations in TP53, ATM, CHEK2, KDM1A, and ARID1A, with an enrichment of these variants among individuals with early onset or family history of MM. Individuals with TP53 or ATM germline mutations are also …

The Igvf Catalog-From Genetic Variation To Function, Daofeng Li, Shane Liu, Wenjin Zhang, Juan F Macias-Velasco, Tianjie Liu, Sarah Cody, Lucinda Antonacci-Fulton, Ting Wang, Et Al.

2020-Current year OA Pubs

Genomic variation between individuals is essential for understanding how differences in the genome sequence affect molecular and cellular processes. The Impact of Genomic Variation on Function (IGVF) Consortium aims to uncover the relationships among genomic variation, genome function, and phenotypes by combining experimental techniques, such as single-cell mapping and genomic perturbation assays, with computational approaches such as machine learning-based predictive modeling. The IGVF Data and Administrative Coordinating Centers collect, analyze, and disseminate data and results from across the consortium through an open-source platform called the IGVF Catalog. This resource includes, but is not limited to, data on the effects of …

A Phase 1, First-In-Human, Dose Escalation Study Of Jnj-80038114, A Psmaxcd3 Bispecific Antibody, In Participants With Metastatic Castration-Resistant Prostate Cancer, Andrew Hudson, Anuradha Jayaram, Benjamin Garmezy, Nicholas Zorko, Kevin Zarrabi, Ligi Mathews, Brent Rupnow, Mengjie Li, Debopriya Ghosh, Karen Urtishak, Peter Francis, Sherry Wang, Edward Attiyeh, Johann De Bono

Department of Medical Oncology Faculty Papers

PURPOSE: Prostate-specific membrane antigen (PSMA) has been identified as a therapeutic target for metastatic castration-resistant prostate cancer (mCRPC). The recent success of radioligands targeting PSMA spurred development of new PSMA-targeting agents including immunotherapy. JNJ-80038114 is a bispecific antibody that binds PSMA on tumor cells and CD3 on T cells to induce anti-tumor activity.

METHODS: This was a phase 1, open-label, multicenter study of JNJ-80038114 in participants with mCRPC and ≥ 1 prior systemic therapy. JNJ-80038114 was administered subcutaneously every 3 weeks (Q3W), starting at 0.1 mg. The primary endpoint was safety. Secondary endpoints included pharmacokinetics (PK), immunogenicity, and prostate-specific antigen …

Music Therapy Versus Cognitive Behavioral Therapy Via Telehealth For Anxiety In Survivors Of Cancer: A Randomized Clinical Trial, Kevin T. Liou, Joke Bradt, M. Beatriz Currier, Raymond Baser, Katherine Panageas, Jodi Macleod, Desiree Walker, Susan Q. Li, Ana Maria Lopez, Kelly Mcconnell, Jun J. Mao

Department of Medical Oncology Faculty Papers

PURPOSE: Anxiety is prevalent, disruptive, and undertreated among survivors of cancer. Cognitive behavioral therapy (CBT) is the first-line treatment, but not all individuals have access, respond to treatment, or prefer this option because of stigma. Music therapy is effective for short-term anxiety reduction, but it is unknown whether it is noninferior to first-line CBT for long-term anxiety reduction.

METHODS: This comparative effectiveness trial randomly assigned English- or Spanish-speaking survivors of cancer to seven weekly telehealth sessions of music therapy or CBT. The coprimary end points were changes in the Hospital Anxiety and Depression Scale (HADS) anxiety score at weeks 8 …

Knockrbp: An Integrated Multi-Omics Database Of Functional Perturbation Profiles For Rna-Binding Proteins, Mengyuan Yang, Jiawei Li, Jiajia Liu, Xingzheng Lu, Xiaobo Zhou, Yungang Xu

Faculty, Staff and Student Publications

RNA-binding proteins (RBPs) regulate diverse post-transcriptional processes, yet their functional impacts across multiple molecular layers remain incompletely characterized. KnockRBP (https://knockrbp.xu-bioinfo.com) is presented as a comprehensive, multi-omics database systematically cataloging regulatory changes resulting from genetic perturbation of RBPs. The resource integrates 1453 datasets from GEO, ENA, and ENCORE, encompassing RNA-seq, Ribo-seq, microRNA (miRNA)-seq, and 3'RACE-seq across 639 RBPs, 182 cell lines, and 61 diseases. Regulatory outcomes covered include alternative splicing, alternative polyadenylation, RNA editing, transcript abundance, translation efficiency, and miRNA expression, with all events processed through standardized analytical pipelines and annotated with open reading frame consequences, predicted loss-of-function impacts, and established …

Inhibition Of Gpx4 Induces The Death Of P53-Mutant Triple-Negative Breast Cancer Cells, William M Tahaney, Amanda Lanier, Jing Qian, Cassandra L Moyer, Nghi Nguyen, Yanxia Ma, Jamal Hill, Reid T Powell, Clifford C Stephan, Peter J A Davies, Abhijit Mazumdar, Powel H Brown

Faculty, Staff and Student Publications

Background: Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by high rates of tumor protein 53 (TP53) mutation and with limited targeted therapies. Despite being clinically advantageous, direct targeting of mutant TP53 has been challenging. Therefore, we hypothesized that p53-mutant TNBC cells rely upon other potentially targetable survival pathways.

Methods: In vitro and in silico screens were used to identify drugs that induced preferential death in TP53-mutant cells. The effect of the ferroptosis inducer ML-162 was tested both in vitro and in vivo and the mechanism of cell death following ML-162 treatment or GPX4 knockout was …

Peripheral Nerve Injury Reduces Macrophage Efferocytosis To Facilitate Neuropathic Pain, Vipul K Pandey, Tusar K Acharya, Kendal F Willcox, Sandeep Dembla, Ajeena Ramanujan, Anamaria R Grieco, Younus A Zuberi, Rajasekaran Mahalingam, Andrew J Shepherd, Cobi J Heijnen, Peter M Grace

Faculty, Staff and Student Publications

For reasons not fully understood, proresolving immune processes sometimes fail to engage after peripheral nerve injury (PNI), leading to enhanced neuropathic pain and inflammation. Here, we implicate reduced efferocytosis due to proteolytic cleavage of surface MER tyrosine kinase (MERTK) from macrophages at the site of PNI. After PNI, the proportion of macrophages expressing MERTK progressively decreased, while soluble (cleaved) MER increased. Using male and female knock-in mice encoding cleavage-resistant Mertk, we demonstrated that cleavage of MERTK from macrophages at the PNI site led to exaggerated pain-related behaviors. PNI-induced hyperactivity of TRPV1+ sensory neurons and damage to myelin and myelinated …

Spatial2gwas: A Database For Linking Spatial Transcriptomic Regions With Gwas Traits, Xi Hu, Aoqi Wang, Huan Yu, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

Spatial heterogeneity of gene expression within tissue regions has a critical influence on biological functions, thereby affecting disease pathogenesis. However, systematic associations between spatially resolved transcriptomes and phenotypes, especially in complex diseases, remain underexplored. Here, we developed spatial2GWAS (http://www.spatial2gwas.cn), a comprehensive resource linking spatial transcriptomic (ST) regions with GWAS traits. In the database, we collected 1196 ST slices (human and mouse) from five technologies and 812 GWAS traits spanning 18 phenotype categories and identified 29 701 ST slice-GWAS trait pairs containing 47 492 significant regions. Functional analyses reveal distinct patterns of cell type composition, gene expression, GO/KEGG pathway activation, and …

Twin And Cotwin Predictors Of Fetal Demise After Laser Photocoagulation Therapy In Advanced Stage Twin-Twin Transfusion Syndrome: A Fetal Heart Society Research Collaborative Study, Shiraz A Maskatia, Fu-Sheng Chou, Betul Yilmaz, Lisa Howley, Vidhya Annavajjhala, Lindsay Freud, Allison Divanovic, Laxmi Ghimire, Anita J Moon-Grady

Faculty, Staff and Student Publications

Background: Current models to predict outcomes in advanced twin-twin transfusion syndrome are limited. We hypothesized that twin and cotwin echocardiographic factors would improve model performance for donor and recipient demise following laser photocoagulation therapy.

Methods: We performed a multicenter retrospective cohort study of stage 3 to 4 twin-twin transfusion syndrome referred for laser photocoagulation therapy. Fetal echocardiograms were analyzed at a core laboratory. We used multivariable logistic regression models to select variables used for generalized linear mixed-effects modeling. Separate models were developed for donor and recipient demise, using both twin and cotwin variables. Models were assessed by area under the …

Correction: Sadagopan Et Al Reduced Computed Tomography Scan Speed Improves Alignment Errors For Patients Undergoing Thoracic Stereotactic Body Radiation Therapy, Ramaswamy Sadagopan, Rachael M Martin-Paulpeter, Christopher R Peeler, Xiaochun Wang, Paige Nitsch, Julianne M Pollard-Larkin

Faculty, Staff and Student Publications

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