Medicine and Health Sciences Commons^™

A Process To Reanalyze Clinical Dna Sequencing Data For Biomarker Matching In The Lung-Map Master Protocol, Joel W Neal, Katherine Minichiello, Ryan Brennick, Richard S P Huang, Matthew C Hiemenz, Cornel Amler, Jyoti Patel, Roy Herbst, Karen L Reckamp, Hossein Borghaei, Louise Highleyman, Mary W Redman, Lincoln W Pasquina, David E Kozono

Faculty, Staff and Student Publications

For cancer clinical trials that require central confirmation of tumor genomic profiling, exhaustion of tissue from standard-of-care testing may prevent enrollment. For Lung-MAP, a master protocol that requires results from a defined centralized clinical trial assay to assign patients to a therapeutic substudy, we developed a process to repurpose existing commercial vendor raw genomic data for eligibility: genomic data reanalysis (GDR). Molecular results for substudy assignment were successfully generated for 369 of the first 374 patients (98.7%) using GDR for Lung-MAP, with a median time from request to result of 9 days. During the same period, 691 of 791 (87.4%) …

Epicardial Inflow Versus Myocardial Distribution: Average Regional Transmural Coronary Flow Is Not Enough, Nils P Johnson, K Lance Gould

Faculty, Staff and Student Publications

No abstract provided.

Methylthioadenosine Phosphorylase Genomic Loss In Advanced Gastrointestinal Cancers, Natalie Y L Ngoi, Tin-Yun Tang, Catia F Gaspar, Dean C Pavlick, Gregory M Buchold, Emma L Scholefield, Vamsi Parimi, Richard S P Huang, Tyler Janovitz, Natalie Danziger, Mia A Levy, Shubham Pant, Anaemy Danner De Armas, David Kumpula, Jeffrey S Ross, Milind Javle, Jordi Rodon Ahnert

Faculty, Staff and Student Publications

BACKGROUND: One of the most common sporadic homozygous deletions in cancers is 9p21 loss, which includes the genes methylthioadenosine phosphorylase (MTAP), CDKN2A, and CDKN2B, and has been correlated with worsened outcomes and immunotherapy resistance. MTAP-loss is a developing drug target through synthetic lethality with MAT2A and PMRT5 inhibitors. The purpose of this study is to investigate the prevalence and genomic landscape of MTAP-loss in advanced gastrointestinal (GI) tumors and investigate its role as a prognostic biomarker.

MATERIALS AND METHODS: We performed next-generation sequencing and comparative genomic and clinical analysis on an extensive cohort of 64 860 tumors comprising 5 GI …

Klrg1 Cell Depletion As A Novel Therapeutic Strategy In Patients With Mature T-Cell Lymphoma Subtypes, Bimarzhan Assatova, Robert Willim, Christopher Trevisani, Garrett Haskett, Khyati Maulik Kariya, Kusha Chopra, Sung Rye Park, Michael Yevgeniy Tolstorukov, Sean M Mccabe, Jessica Duffy, Abner Louissaint, Jani Huuhtanen, Dipabarna Bhattacharya, Satu Mustjoki, Min Jung Koh, Foster Powers, Elizabeth A Morgan, Lei Yang, Brandy Pinckney, Matthew J Cotton, Andrew Crabbe, Jessica Beth Ziemba, Ian Brain, Tayla B Heavican-Foral, Javeed Iqbal, Ronald Nemec, Anna Baird Rider, Josie Germain Ford, Min Ji Koh, Nora Scanlan, David J Feith, Thomas P Loughran, Won Seog Kim, Jaehyuk Choi, Juliette Roels, Lena Boehme, Tom Putteman, Tom Taghon, Jeffrey A Barnes, P Connor Johnson, Eric D Jacobsen, Steven A Greenberg, David M Weinstock, Salvia Jain

Faculty, Staff and Student Publications

Purpose: Develop a novel therapeutic strategy for patients with subtypes of mature T-cell and NK-cell neoplasms.

Experimental design: Primary specimens, cell lines, patient-derived xenograft models, commercially available, and proprietary anti-KLRG1 antibodies were used for screening, target, and functional validation.

Results: Here we demonstrate that surface KLRG1 is highly expressed on tumor cells in subsets of patients with extranodal NK/T-cell lymphoma (ENKTCL), T-prolymphocytic leukemia (T-PLL), and gamma/delta T-cell lymphoma (G/D TCL). The majority of the CD8+/CD57+ or CD3-/CD56+ leukemic cells derived from patients with T- and NK-large granular lymphocytic leukemia (T-LGLL and NK-LGLL), respectively, expressed surface KLRG1. The humanized afucosylated anti-KLRG1 …

Efficacy And Safety Of Adagrasib Plus Cetuximab In Patients With Krasg12c-Mutated Metastatic Colorectal Cancer, Rona Yaeger, Nataliya V Uboha, Meredith S Pelster, Tanios S Bekaii-Saab, Minal Barve, Joel Saltzman, Joshua K Sabari, Julio A Peguero, Andrew Scott Paulson, Pasi A Jänne, Marcia Cruz-Correa, Kenna Anderes, Karen Velastegui, Xiaohong Yan, Hirak Der-Torossian, Samuel J Klempner, Scott E Kopetz

Faculty, Staff and Student Publications

Adagrasib, an irreversible, selective KRASG12C inhibitor, may be an effective treatment in KRASG12C-mutated colorectal cancer, particularly when combined with an anti-EGFR antibody. In this analysis of the KRYSTAL-1 trial, patients with previously treated KRASG12C-mutated unresectable or metastatic colorectal cancer received adagrasib (600 mg twice daily) plus cetuximab. The primary endpoint was objective response rate (ORR) by blinded independent central review. Ninety-four patients received adagrasib plus cetuximab. With a median follow-up of 11.9 months, ORR was 34.0%, disease control rate was 85.1%, and median duration of response was 5.8 months (95% confidence interval [CI], 4.2-7.6). Median progression-free survival was 6.9 months …

Maintenance Pembrolizumab Therapy In Patients With Metastatic Her2-Negative Breast Cancer With Prior Response To Chemotherapy, Toshiaki Iwase, Evan N Cohen, Hui Gao, Angela Alexander, Megumi Kai, Vivian Chiv, Xiaoping Wang, Savitri Krishnamurthy, Diane Liu, Yu Shen, Kumiko Kida, Alexandre Reuben, Rachel M Layman, David L Ramirez, Debasish Tripathy, Stacy L Moulder, Clinton Yam, Vicente Valero, Bora Lim, James M Reuben, Naoto T Ueno

Faculty, Staff and Student Publications

Purpose: Accumulating toxicities hinder indefinite chemotherapy for many patients with metastatic/recurrent HER2-negative breast cancer. We conducted a phase II trial of pembrolizumab monotherapy following induction chemotherapy to determine the efficacy of maintenance immunotherapy in patients with metastatic HER2-negative inflammatory breast cancer (IBC) and non-IBC triple-negative breast cancer (TNBC) and a biomarker study.

Patients and methods: Patients with a complete response, partial response, or stable disease (SD) after at least three cycles of chemotherapy for HER2-negative breast cancer received pembrolizumab, regardless of programmed death-ligand 1 expression. Pembrolizumab (200 mg) was administered every 3 weeks until disease progression, intolerable toxicity, or 2 …

Development Of A Novel Comprehensive Hepatocellular Carcinoma Outcome Prognostic Scoring System With Integration Of Imaging Features, Hop S Tran Cao, Russell G Witt, Khaled M Elsayes, Ali A Baiomy, Lianchun Xiao, Sarah Palmquist, Sunyoung S Lee, Yehia I Mohamed, Armeen Mahvash, Ching-Wei D Tzeng, Yun Shin Chun, Eugene Jon Koay, Asif Rashid, Manal M Hassan, James C Yao, Jean-Nicolas Vauthey, Ahmed O Kaseb

Faculty, Staff and Student Publications

Background: Accurate prognostic stratification of hepatocellular carcinoma (HCC) is vital for clinical trial enrollment and treatment allocation. Multiple scoring systems have been created to predict patient survival, but no standardized scoring systems account for radiologic tumor features. We sought to create a generalizable scoring system for HCC which incorporates standardized radiologic tumor features and more accurately predicts overall survival (OS) than established systems.

Methods: Clinicopathologic parameters were collected from a prospectively collected cohort of patients with HCC treated at a single institution. Imaging studies were evaluated for tumor characteristics. Patients were randomly divided into a training set for identification of …

Cell-Free Dna Concentration As A Biomarker Of Response And Recurrence In Her2-Negative Breast Cancer Receiving Neoadjuvant Chemotherapy, Mark Jesus M Magbanua, Ziad Ahmed, Rosalyn W Sayaman, Lamorna Brown Swigart, Gillian L Hirst, Christina Yau, Denise M Wolf, Wen Li, Amy L Delson, Jane Perlmutter, Paula Pohlmann, W Fraser Symmans, Douglas Yee, Nola M Hylton, Laura J Esserman, Angela M Demichele, Hope S Rugo, Laura J Van 'T Veer

Faculty, Staff and Student Publications

Purpose: We previously demonstrated the clinical significance of circulating tumor DNA (ctDNA) in patients with HER2-negative breast cancer receiving neoadjuvant chemotherapy (NAC). Here, we compared its predictive and prognostic value with cell-free DNA (cfDNA) concentration measured in the same samples from the same patients.

Experimental design: 145 patients with hormone receptor (HR)-positive/HER2-negative and 138 triple-negative breast cancer (TNBC) with ctDNA data from a previous study were included in the analysis. Associations of serial cfDNA concentration with residual cancer burden (RCB) and distant recurrence-free survival (DRFS) were examined.

Results: In TNBC, we observed a modest negative correlation between cfDNA concentration 3 …

Telomere Dysfunction Alters Intestinal Stem Cell Dynamics To Promote Cancer, Kyle A Labella, Wen-Hao Hsu, Jiexi Li, Yutao Qi, Yonghong Liu, Jingjing Liu, Chia-Chin Wu, Yang Liu, Zingzhi Song, Yiyun Lin, Jonathan M Blecher, Shan Jiang, Xiaoying Shang, Jincheng Han, Denise J Spring, Jianhua Zhang, Yan Xia, Ronald A Depinho

Faculty, Staff and Student Publications

Telomere dynamics are linked to aging hallmarks, and age-associated telomere loss fuels the development of epithelial cancers. In Apc-mutant mice, the onset of DNA damage associated with telomere dysfunction has been shown to accelerate adenoma initiation via unknown mechanisms. Here, we observed that Apc-mutant mice engineered to experience telomere dysfunction show accelerated adenoma formation resulting from augmented cell competition and clonal expansion. Mechanistically, telomere dysfunction induces the repression of EZH2, resulting in the derepression of Wnt antagonists, which causes the differentiation of adjacent stem cells and a relative growth advantage to Apc-deficient telomere dysfunctional cells. Correspondingly, in this mouse model, …

Taro: Tree-Aggregated Factor Regression For Microbiome Data Integration, Aditya K Mishra, Iqbal Mahmud, Philip L Lorenzi, Robert R Jenq, Jennifer A Wargo, Nadim J Ajami, Christine B Peterson

Faculty, Staff and Student Publications

MOTIVATION: Although the human microbiome plays a key role in health and disease, the biological mechanisms underlying the interaction between the microbiome and its host are incompletely understood. Integration with other molecular profiling data offers an opportunity to characterize the role of the microbiome and elucidate therapeutic targets. However, this remains challenging to the high dimensionality, compositionality, and rare features found in microbiome profiling data. These challenges necessitate the use of methods that can achieve structured sparsity in learning cross-platform association patterns.

RESULTS: We propose Tree-Aggregated factor RegressiOn (TARO) for the integration of microbiome and metabolomic data. We leverage information …

Primary Cytoreduction And Survival For Patients With Less-Common Epithelial Ovarian Cancer, Koji Matsuo, Ling Chen, Maximilian Klar, Lynda D Roman, Anil K Sood, David M Gershenson, Jason D Wright

Faculty, Staff and Student Publications

This cohort study examines the association between primary cytoreduction status and survival for patients with less-common, advanced-stage epithelial ovarian carcinoma.

An Atlas Characterizing The Shared Genetic Architecture Of Inflammatory Bowel Disease With Clinical And Behavioral Traits, Vikram R Shaw, Jinyoung Byun, Rowland W Pettit, Jason K Hou, Kyle M Walsh, Younghun Han, Christopher I Amos

Faculty, Staff and Students Publications

BACKGROUND: Inflammatory bowel disease (IBD) development is a complex, multifactorial process that involves extrinsic and intrinsic factors such as host genetics, the immune system, the gut microbiome, and environmental risks. To help understand the genetic contribution of clinical, behavioral, psychiatric, and diet-related traits, we aim to provide a deep and comprehensive characterization of the shared genetic architecture between IBD and hundreds of potentially related traits.

METHODS: Utilizing publicly available summary statistics from a previously published IBD genome-wide association study and hundreds of traits from the United Kingdom BioBank (UKBB), we performed linkage disequilibrium score regression (LDSR) analysis to estimate cross-trait …

Phosphatidylserine Regulates Plasma Membrane Repair Through Tetraspanin-Enriched Macrodomains, Yang E Li, Dougall M Norris, Fanqian N Xiao, Elvis Pandzic, Renee M Whan, Sandra Fok, Ming Zhou, Guangwei Du, Yang Liu, Ximing Du, Hongyuan Yang

Faculty, Staff and Student Publications

The integrity of the plasma membrane is critical to cell function and survival. Cells have developed multiple mechanisms to repair damaged plasma membranes. A key process during plasma membrane repair is to limit the size of the damage, which is facilitated by the presence of tetraspanin-enriched rings surrounding damage sites. Here, we identify phosphatidylserine-enriched rings surrounding damaged sites of the plasma membrane, resembling tetraspanin-enriched rings. Importantly, the formation of both the phosphatidylserine- and tetraspanin-enriched rings requires phosphatidylserine and its transfer proteins ORP5 and ORP9. Interestingly, ORP9, but not ORP5, is recruited to the damage sites, suggesting cells acquire phosphatidylserine from …

Irx4204 Induces Senescence And Cell Death In Her2-Positive Breast Cancer And Synergizes With Anti-Her2 Therapy, Cassandra L Moyer, Amanda Lanier, Jing Qian, Darian Coleman, Jamal Hill, Vidyasagar Vuligonda, Martin E Sanders, Abhijit Mazumdar, Powel H Brown

Faculty, Staff and Student Publications

PURPOSE: Rexinoids, agonists of nuclear retinoid X receptor (RXR), have been used for the treatment of cancers and are well tolerated in both animals and humans. However, the usefulness of rexinoids in treatment of breast cancer remains unknown. This study examines the efficacy of IRX4204, a highly specific rexinoid, in breast cancer cell lines and preclinical models to identify a biomarker for response and potential mechanism of action.

EXPERIMENTAL DESIGN: IRX4204 effects on breast cancer cell growth and viability were determined using cell lines, syngeneic mouse models, and primary patient-derived xenograft (PDX) tumors. In vitro assays of cell cycle, apoptosis, …

Cyp3a Mediates An Unusual C(Sp2)-C(Sp3) Bond Cleavage Via Ipso-Addition Of Oxygen In Drug Metabolism, Xuan Qin, Yong Wang, Qiuji Ye, John M Hakenjos, Jin Wang, Mingxing Teng, Lei Guo, Zhi Tan, Damian W Young, Kevin R Mackenzie, Feng Li

Faculty, Staff and Students Publications

Mammalian cytochrome P450 drug-metabolizing enzymes rarely cleave carbon–carbon (C-C) bonds and the mechanisms of such cleavages are largely unknown. We identified two unusual cleavages of non-polar, unstrained C(sp2)-C(sp3) bonds in the FDA-approved tyrosine kinase inhibitor pexidartinib that are mediated by CYP3A4/5, the major human phase I drug metabolizing enzymes. Using a synthetic ketone, we rule out the Baeyer-Villiger oxidation mechanism that is commonly invoked to address P450-mediated C-C bond cleavages. Our studies in 18O2 and H218O enriched systems reveal two unusual distinct mechanisms of C-C bond cleavage: one bond is cleaved by CYP3A-mediated ipso-addition of oxygen to a C(sp2) …

Molecular Therapy Nucleic Acids, Jasmin Morandell, Alan Monziani, Martina Lazioli, Deborah Donzel, Jessica Döring, Claudio Oss Pegorar, Angela D'Anzi, Miguel Pellegrini, Andrea Mattiello, Dalia Bortolotti, Guendalina Bergonzoni, Takshashila Tripathi, Virginia B Mattis, Marina Kovalenko, Jessica Rosati, Christoph Dieterich, Erik Dassi, Vanessa C Wheeler, Zdenka Ellederová, Jeremy E Wilusz, Gabriella Viero, Marta Biagioli

Faculty, Staff and Students Publications

Circular RNA (circRNA) molecules have critical functions during brain development and in brain-related disorders. Here, we identified and validated a circRNA, circHTT(2,3,4,5,6), stemming from the Huntington’s disease (HD) gene locus that is most abundant in the central nervous system (CNS). We uncovered its evolutionary conservation in diverse mammalian species, and a correlation between circHTT(2,3,4,5,6) levels and the length of the CAG-repeat tract in exon-1 of HTT in human and mouse HD model systems. The mouse orthologue, circHtt(2,3,4,5,6), is expressed during embryogenesis, increases during nervous system development, and is aberrantly upregulated in the presence of the expanded CAG tract. …

Should An Npo Order Be Placed For My Patient With Acute Pancreatitis?, Aaron Pathak, Siena Blackwell, Robert Jay Sealock

Faculty, Staff and Students Publications

No abstract provided.

Developing An Ethics And Policy Framework For Psychedelic Clinical Care: A Consensus Statement, Amy L Mcguire, I Glenn Cohen, Dominic Sisti, Matthew Baggott, Yuria Celidwen, Nese Devenot, Sabrina Gracias, Charles Grob, Ifetayo Harvey, Brent Kious, Mason Marks, Michael Mithoefer, Elizabeth Nielson, Dost Öngür, Alexandra Pallas, Andrew Peterson, Eduardo E Schenberg, Paul Summergrad, Brett Waters, Monnica T Williams, David B Yaden

Center for Medical Ethics and Health Policy Staff Publications

Importance: As government agencies around the globe contemplate approval of the first psychedelic medicines, many questions remain about their ethical integration into mainstream medical practice.

Objective: To identify key ethics and policy issues related to the eventual integration of psychedelic therapies into clinical practice.

Evidence review: From June 9 to 12, 2023, 27 individuals representing the perspectives of clinicians, researchers, Indigenous groups, industry, philanthropy, veterans, retreat facilitators, training programs, and bioethicists convened at the Banbury Center at Cold Spring Harbor Laboratory. Prior to the meeting, attendees submitted key ethics and policy issues for psychedelic medicine. Responses were categorized into 6 …

Ketamine Vs Electroconvulsive Therapy For Treatment-Resistant Depression: A Secondary Analysis Of A Randomized Clinical Trial, Manish Kumar Jha, Samuel T Wilkinson, Kamini Krishnan, Katherine A Collins, Gerard Sanacora, James Murrough, Fernando Goes, Murat Altinay, Amy Aloysi, Ali Asghar-Ali, Brian Barnett, Lee Chang, Sara Costi, Donald Malone, Sina Nikayin, Steven E Nissen, Robert Ostroff, Irving Reti, Kathy Wolski, Dong Wang, Bo Hu, Sanjay J Mathew, Amit Anand

Staff and Researcher Publications

IMPORTANCE: The ELEKT-D: Electroconvulsive Therapy (ECT) vs Ketamine in Patients With Treatment Resistant Depression (TRD) (ELEKT-D) trial demonstrated noninferiority of intravenous ketamine vs ECT for nonpsychotic TRD. Clinical features that can guide selection of ketamine vs ECT may inform shared decision-making for patients with TRD.

OBJECTIVE: To evaluate whether selected clinical features were associated with differential improvement with ketamine vs ECT.

DESIGN, SETTING, AND PARTICIPANTS: This secondary analysis of an open-label noninferiority randomized clinical trial was a multicenter study conducted at 5 US academic medical centers from April 7, 2017, to November 11, 2022. Analyses for this study, which were …

Differentiation Between Descending Thoracic Aortic Diseases Using Machine Learning And Plasma Proteomic Signatures, Amanda Momenzadeh, Simion Kreimer, Dongchuan Guo, Matthew Ayres, Daniel Berman, Kuang-Yuh Chyu, Prediman K Shah, Dianna Milewicz, Ali Azizzadeh, Jesse G Meyer, Sarah Parker

Faculty, Staff and Student Publications

BACKGROUND: Descending thoracic aortic aneurysms and dissections can go undetected until severe and catastrophic, and few clinical indices exist to screen for aneurysms or predict risk of dissection.

METHODS: This study generated a plasma proteomic dataset from 75 patients with descending type B dissection (Type B) and 62 patients with descending thoracic aortic aneurysm (DTAA). Standard statistical approaches were compared to supervised machine learning (ML) algorithms to distinguish Type B from DTAA cases. Quantitatively similar proteins were clustered based on linkage distance from hierarchical clustering and ML models were trained with uncorrelated protein lists across various linkage distances with hyperparameter …

A New Computed Tomography Score-Based Staging For Melioidosis Pneumonia To Predict Progression, Yang Chen, Dehuai He, Yehua Wu, Xiangying Li, Kaifu Yang, Yuefu Zhan, Jianqiang Chen, Xiaobo Zhou

Faculty, Staff and Student Publications

infectious disease prevalent in tropical regions. Chest computed tomography (CT) has emerged as a valuable tool for assessing the severity and progression of lung involvement in melioidosis pneumonia. However, there persists a need for the quantitative assessment of CT characteristics and staging methodologies to precisely anticipate disease progression. This study aimed to quantitatively extract CT features and evaluate a CT score-based staging system in predicting the progression of melioidosis pneumonia.

Methods: This study included 97 patients with culture-confirmed melioidosis pneumonia who presented between January 2002 and December 2021. Lung segmentation and annotation of lesions (consolidation, nodules, and cavity) were used …

Clinical Information Retrieval: A Literature Review, Sonish Sivarajkumar, Haneef Ahamed Mohammad, David Oniani, Kirk Roberts, William Hersh, Hongfang Liu, Daqing He, Shyam Visweswaran, Yanshan Wang

Faculty, Staff and Student Publications

UNLABELLED: Clinical information retrieval (IR) plays a vital role in modern healthcare by facilitating efficient access and analysis of medical literature for clinicians and researchers. This scoping review aims to offer a comprehensive overview of the current state of clinical IR research and identify gaps and potential opportunities for future studies in this field. The main objective was to assess and analyze the existing literature on clinical IR, focusing on the methods, techniques, and tools employed for effective retrieval and analysis of medical information. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted an …

Forecasting Acute Kidney Injury And Resource Utilization In Icu Patients Using Longitudinal, Multimodal Models, Yukun Tan, Merve Dede, Vakul Mohanty, Jinzhuang Dou, Holly Hill, Elmer Bernstam, Ken Chen

Faculty, Staff and Student Publications

Background: Advances in artificial intelligence (AI) have realized the potential of revolutionizing healthcare, such as predicting disease progression via longitudinal inspection of Electronic Health Records (EHRs) and lab tests from patients admitted to Intensive Care Units (ICU). Although substantial literature exists addressing broad subjects, including the prediction of mortality, length-of-stay, and readmission, studies focusing on forecasting Acute Kidney Injury (AKI), specifically dialysis anticipation like Continuous Renal Replacement Therapy (CRRT) are scarce. The technicality of how to implement AI remains elusive.

Objective: This study aims to elucidate the important factors and methods that are required to develop effective predictive models of …

Developing A Computational Representation Of Human Physical Activity And Exercise Using Open Ontology-Based Approach: A Tai Chi Use Case, Eloisa Nguyen, Rebecca Z Lin, Yang Gong, Cui Tao, Muhammad Tuan Amith

Faculty, Staff and Student Publications

Many studies have examined the impact of exercise and other physical activities in influencing the health outcomes of individuals. These physical activities entail an intricate sequence and series of physical anatomy, physiological movement, movement of the anatomy, etc. To better understand how these components interact with one another and their downstream impact on health outcomes, there needs to be an information model that conceptualizes all entities involved. In this study, we introduced our early development of an ontology model to computationally describe human physical activities and the various entities that compose each activity. We developed an open-sourced biomedical ontology called …

Fine-Grained Patient Similarity Measuring Using Contrastive Graph Similarity Networks, Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D Salim, Jiang Bian, Antonio Jimeno Yepes

Faculty, Staff and Student Publications

Predictive analytics using Electronic Health Records (EHRs) have become an active research area in recent years, especially with the development of deep learning techniques. A popular EHR data analysis paradigm in deep learning is patient representation learning, which aims to learn a condensed mathematical representation of individual patients. However, EHR data are often inherently irregular, i.e., data entries were captured at different times as well as with different contents due to the individualized needs of each patient. Most of the work focused on the provision of deep neural networks with attention mechanisms that generate complete patient representations that can be …

Stratification Of Glioma Based On Stemness Scores In Bulk And Single-Cell Transcriptomes, Zeinab Abdelrahman, Alaa Abdelatty, Jiangti Luo, Amy Jayne Mcknight, Xiaosheng Wang

Faculty, Staff and Student Publications

Background: Brain tumours are known to have a high mortality and morbidity rate due to their localised and frequent invasive growth. The concept that glioma resistance could originate from the dissimilarity in the vulnerability of clonogenic glial stem cells to chemotherapeutic drugs and radiation has driven the scientific community to reexamine the comprehension of glioma growth and strategies that target these cells or modify their stemness.

Methods: Based on the enrichment scores of 12 stemness signatures, we identified glioma subtypes in both tumour bulks and single cells by clustering analysis. Furthermore, we comprehensively compared molecular and clinical features among the …

Aromatic-Carbonyl Interactions As An Emerging Type Of Non-Covalent Interactions, Chaowei Yin, Hebo Ye, Yu Hai, Hanxun Zou, Lei You

Faculty, Staff and Student Publications

Aromatic-carbonyl (Ar···C═O) interactions, attractive interactions between the arene plane and the carbon atom of carbonyl, are in the infancy as one type of new supramolecular bonding forces. Here the study and functionalization of aromatic-carbonyl interactions in solution is reported. A combination of aromatic-carbonyl interactions and dynamic covalent chemistry provided a versatile avenue. The stabilizing role and mechanism of arene-aldehyde/imine interactions are elucidated through crystal structures, NMR studies, and computational evidence. The movement of imine exchange equilibria further allowed the quantification of the interplay between arene-aldehyde/imine interactions and dynamic imine chemistry, with solvent effects offering another handle and matching the electrostatic …

Increased Incidence Of Vestibular Disorders In Patients With Sars-Cov-2, Lawrance Lee, Evan French, Daniel H Coelho, Nauman F Manzoor, Adam B Wilcox, Adam M Lee, Alexis Graves, Alfred Anzalone, Amin Manna, Amit Saha, Amy Olex, Andrea Zhou, Andrew E Williams, Andrew Southerland, Andrew T Girvin, Anita Walden, Anjali A Sharathkumar, Benjamin Amor, Benjamin Bates, Brian Hendricks, Brijesh Patel, Caleb Alexander, Carolyn Bramante, Cavin Ward-Caviness, Charisse Madlock-Brown, Christine Suver, Christopher Chute, Christopher Dillon, Chunlei Wu, Clare Schmitt, Cliff Takemoto, Dan Housman, Davera Gabriel, David A Eichmann, Diego Mazzotti, Don Brown, Eilis Boudreau, Elaine Hill, Elizabeth Zampino, Emily Carlson Marti, Emily R Pfaff, Evan French, Farrukh M Koraishy, Federico Mariona, Fred Prior, George Sokos, Greg Martin, Harold Lehmann, Heidi Spratt, Hemalkumar Mehta, Hongfang Liu, Hythem Sidky, J W Awori Hayanga, Jami Pincavitch, Jaylyn Clark, Jeremy Richard Harper, Jessica Islam, Jin Ge, Joel Gagnier, Joel H Saltz, Joel Saltz, Johanna Loomba, John Buse, Jomol Mathew, Joni L Rutter, Julie A Mcmurry, Justin Guinney, Justin Starren, Karen Crowley, Katie Rebecca Bradwell, Kellie M Walters, Ken Wilkins, Kenneth R Gersing, Kenrick Dwain Cato, Kimberly Murray, Kristin Kostka, Lavance Northington, Lee Allan Pyles, Leonie Misquitta, Lesley Cottrell, Lili Portilla, Mariam Deacy, Mark M Bissell, Marshall Clark, Mary Emmett, Mary Morrison Saltz, Matvey B Palchuk, Melissa A Haendel, Meredith Adams, Meredith Temple-O'Connor, Michael G Kurilla, Michele Morris, Nabeel Qureshi, Nasia Safdar, Nicole Garbarini, Noha Sharafeldin, Ofer Sadan, Patricia A Francis, Penny Wung Burgoon, Peter Robinson, Philip R O Payne, Rafael Fuentes, Randeep Jawa, Rebecca Erwin-Cohen, Rena Patel, Richard A Moffitt, Richard L Zhu, Rishi Kamaleswaran, Robert Hurley, Robert T Miller, Saiju Pyarajan, Sam G Michael, Samuel Bozzette, Sandeep Mallipattu, Satyanarayana Vedula, Scott Chapman, Shawn T O'Neil, Soko Setoguchi, Stephanie S Hong, Steve Johnson, Tellen D Bennett, Tiffany Callahan, Umit Topaloglu, Usman Sheikh, Valery Gordon, Vignesh Subbian, Warren A Kibbe, Wenndy Hernandez, Will Beasley, Will Cooper, William Hillegass, Xiaohan Tanner Zhang

Faculty, Staff and Student Publications

OBJECTIVE: Determine the incidence of vestibular disorders in patients with SARS-CoV-2 compared to the control population.

STUDY DESIGN: Retrospective.

SETTING: Clinical data in the National COVID Cohort Collaborative database (N3C).

METHODS: Deidentified patient data from the National COVID Cohort Collaborative database (N3C) were queried based on variant peak prevalence (untyped, alpha, delta, omicron 21K, and omicron 23A) from covariants.org to retrospectively analyze the incidence of vestibular disorders in patients with SARS-CoV-2 compared to control population, consisting of patients without documented evidence of COVID infection during the same period.

RESULTS: Patients testing positive for COVID-19 were significantly more likely to have …

Antibiotic Bone Cement Accelerates Diabetic Foot Wound Healing-Elucidating The Role Of Rock1 Protein Expression, Liang Li, Guangming Zhang, Yanwei Sun

Faculty, Staff and Student Publications

No abstract provided.

On Blockwise And Reference Panel-Based Estimators For Genetic Data Prediction In High Dimensions, Bingxin Zhao, Shurong Zheng, Hongtu Zhu

Faculty, Staff and Student Publications

Genetic prediction holds immense promise for translating genetic discoveries into medical advances. As the high-dimensional covariance matrix (or the linkage disequilibrium (LD) pattern) of genetic variants often presents a block-diagonal structure, numerous methods account for the dependence among variants in predetermined local LD blocks. Moreover, due to privacy considerations and data protection concerns, genetic variant dependence in each LD block is typically estimated from external reference panels rather than the original training data set. This paper presents a unified analysis of blockwise and reference panel-based estimators in a high-dimensional prediction framework without sparsity restrictions. We find that, surprisingly, even when …