Digital Commons Network^™

Recessive Genetic Contribution To Congenital Heart Disease In 5,424 Probands, Weilai Dong, Sheng Chih Jin, Et Al.

2020-Current year OA Pubs

Variants with large effect contribute to congenital heart disease (CHD). To date, recessive genotypes (RGs) have commonly been implicated through anecdotal ascertainment of consanguineous families and candidate gene-based analysis; the recessive contribution to the broad range of CHD phenotypes has been limited. We analyzed whole exome sequences of 5,424 CHD probands. Rare damaging RGs were estimated to contribute to at least 2.2% of CHD, with greater enrichment among laterality phenotypes (5.4%) versus other subsets (1.4%). Among 108 curated human recessive CHD genes, there were 66 RGs, with 54 in 11 genes with >1 RG, 12 genes with 1 RG, and …

Transcriptome Complexity Disentangled: A Regulatory Molecules Approach, Amir Asiaee, Zachary B Abrams, Heather H Pua, Kevin R Coombes

2020-Current year OA Pubs

Transcription factors (TFs) and microRNAs (miRNAs) are fundamental regulators of gene expression, cell state, and biological processes. This study investigated whether a small subset of TFs and miRNAs could accurately predict genome-wide gene expression. We analyzed 8895 samples across 31 cancer types from The Cancer Genome Atlas and identified 28 miRNA and 28 TF clusters using unsupervised learning. Medoids of these clusters could differentiate tissues of origin with 92.8% accuracy, demonstrating their biological relevance. We developed Tissue-Agnostic and Tissue-Aware models to predict 20,000 gene expressions using the 56 selected medoid miRNAs and TFs. The Tissue-Aware model attained an R2 of …

Leveraging Large Language Models For Knowledge-Free Weak Supervision In Clinical Natural Language Processing, Enshuo Hsu, Kirk Roberts

Faculty, Staff and Student Publications

The performance of deep learning-based natural language processing systems is based on large amounts of labeled training data which, in the clinical domain, are not easily available or affordable. Weak supervision and in-context learning offer partial solutions to this issue, particularly using large language models (LLMs), but their performance still trails traditional supervised methods with moderate amounts of gold-standard data. In particular, inferencing with LLMs is computationally heavy. We propose an approach leveraging fine-tuning LLMs and weak supervision with virtually no domain knowledge that still achieves consistently dominant performance. Using a prompt-based approach, the LLM is used to generate weakly-labeled …

Incidence And Correlates Of High-Grade Chemotherapy-Induced Peripheral Neuropathy In Patients With Lung Cancer, Mitchell S Von Itzstein, Sawsan Rashdan, Suzanne E Dahlberg, David E Gerber, Alan B Sandler, Joan H Schiller, David H Johnson, Yating Wang, Zhuoxin Sun, Suresh S Ramalingam

Faculty, Staff and Student Publications

Background: High-grade chemotherapy-induced peripheral neuropathy (CIPN) represents a dreaded toxicity of cancer treatments. In some cases, it may limit activities of daily living and become permanent. Because many prior studies of CIPN were conducted in breast cancer populations, less is known about CIPN in men. We therefore determined the incidence and correlates of high-grade CIPN in a large cohort of patients with lung cancer.

Methods: We collected data from the ECOG-ACRIN E1594 (comparison of 4 chemotherapy regimens: cisplatin-paclitaxel, cisplatin-gemcitabine, cisplatin-docetaxel, carboplatin-paclitaxel) and E4599 (carboplatin-paclitaxel ± concurrent and maintenance bevacizumab) clinical trials. We identified cases with grade ≥3 CIPN. Multivariable logistic …

Improved Patient-Reported Outcomes With Post-Transplant Cyclophosphamide: A Quality-Of-Life Evaluation And 2-Year Outcomes Of Bmt Ctn 1703., Shernan G Holtan, Javier Bolaños-Meade, Monzr M Al Malki, Juan Wu, Carrie L Kitko, Ran Reshef, Andrew R Rezvani, Brian C Shaffer, Melhem M Solh, Janny M Yao, Lyndsey Runaas, Hany Elmariah, Karilyn T Larkin, Najla El Jurdi, Mahasweta Gooptu, Alison W Loren, Aric C Hall, Amin M Alousi, Omer Jamy, William Clark, Leslie Kean, Ami S Bhatt, Miguel-Angel Perales, Kristy Applegate, Yvonne Adeduni Efebera, Eric Leifer, Richard J Jones, Mary M Horowitz, Deborah Mattila, Wael Saber, Mehdi Hamadani, Michael J Martens

Oncology Articles

The BMT CTN 1703 phase III trial confirmed that graft-versus-host disease (GVHD) prophylaxis with post-transplantation cyclophosphamide (PTCy), tacrolimus (Tac), and mycophenolate mofetil (MMF) results in superior GVHD-free, relapse-free survival (GRFS) compared with Tac/methotrexate (MTX) prophylaxis. This companion study assesses the effect of these regimens on patient-reported outcomes (PROs). Using the Lee Chronic GVHD Symptom Score and PROMIS subscales (physical function, GI symptoms, social role satisfaction) as primary end points and hemorrhagic cystitis symptoms and Lee subscales as secondary end points, responses from English and Spanish speakers were analyzed at baseline and days 100, 180, and 365 after transplant. PRO scores …

Apobec3a Drives Ovarian Cancer Metastasis By Altering Epithelial-Mesenchymal Transition, Jessica M. Devenport, Thi Tran, Brooke R. Harris, Dylan Fingerman, Rachel A. Deweerd, Lojain H. Elkhidir, Danielle Lavigne, Katherine Fuh, Lulu Sun, Jeffrey J. Bednarski, Ronny Drapkin, Mary M. Mullen, Abby M. Green

2020-Current year OA Pubs

High-grade serous ovarian cancer (HGSOC) is the most prevalent and aggressive histological subtype of ovarian cancer and often presents with metastatic disease. The drivers of metastasis in HGSOC remain enigmatic. APOBEC3A (A3A), an enzyme that generates mutations across various cancers, has been proposed as a mediator of tumor heterogeneity and disease progression. However, the role of A3A in HGSOC has not been explored. We observed an association between high levels of APOBEC3-mediated mutagenesis and poor overall survival in primary HGSOC. We experimentally addressed this correlation by modeling A3A expression in HGSOC, and this resulted in increased metastatic behavior of HGSOC …

Augmented Expression Of Superoxide Dismutase 2 Mitigates Progression And Rupture Of Experimental Abdominal Aortic Aneurysm, Huimin Yan, Ying Hu, Yang Lyu, Antonina Akk, Angela C Hirbe, Samuel A Wickline, Hua Pan, Elisha D O Roberson, Christine T N Pham

2020-Current year OA Pubs

No abstract provided.

Multi-Ancestry Transcriptome-Wide Association Studies Of Cognitive Function, White Matter Hyperintensity, And Alzheimer's Disease, Dima L Chaar, Zheng Li, Lulu Shang, Scott M Ratliff, Thomas H Mosley, Sharon L R Kardia, Wei Zhao, Xiang Zhou, Jennifer A Smith

Faculty, Staff and Student Publications

Genetic variants increase the risk of neurocognitive disorders in later life, including vascular dementia (VaD) and Alzheimer's disease (AD), but the precise relationships between genetic risk factors and underlying disease etiologies are not well understood. Transcriptome-wide association studies (TWASs) can be leveraged to better characterize the genes and biological pathways underlying genetic influences on disease. To date, almost all existing TWASs on VaD and AD have been conducted using expression studies from individuals of a single genetic ancestry, primarily European. Using the joint likelihood-based inference framework in Multi-ancEstry TRanscriptOme-wide analysis (METRO), we leveraged gene expression data from European ancestry (EA) …

Genome-Wide Profiling Of Highly Similar Paralogous Genes Using Hifi Sequencing., Xiao Chen, Daniel Baker, Egor Dolzhenko, Joseph M. Devaney, Jessica Noya, April S. Berlyoung, Rhonda Brandon, Kathleen S. Hruska, Lucas Lochovsky, Paul Kruszka, Scott Newman, Emily G. Farrow, Isabelle Thiffault, Tomi Pastinen, Dalia Kasperaviciute, Christian Gilissen, Lisenka Vissers, Alexander Hoischen, Seth Berger, Eric Vilain, Emmanuèle Délot, Uci Genomics Research To Elucidate The Genetics Of Rare Diseases (Uci Gregor) Consortium, Michael A. Eberle

Manuscripts, Articles, Book Chapters and Other Papers

Variant calling is hindered in segmental duplications by sequence homology. We developed Paraphase, a HiFi-based informatics method that resolves highly similar genes by phasing all haplotypes of paralogous genes together. We applied Paraphase to 160 long (>10 kb) segmental duplication regions across the human genome with high (>99%) sequence similarity, encoding 316 genes. Analysis across five ancestral populations revealed highly variable copy numbers of these regions. We identified 23 paralog groups with exceptionally low within-group diversity, where extensive gene conversion and unequal crossing over contribute to highly similar gene copies. Furthermore, our analysis of 36 trios identified 7 …

Gatad2b O-Glcnacylation Regulates Breast Cancer Stem-Like Potential And Drug Resistance, Giang Le Minh, Jessica Merzy, Emily Esquea, Nusaiba Ahmed, Riley Young, Ryan Sharp, Tejsi Dhameliya, Bernice Agana, Mi-Hye Lee, Jennifer Bethard, Susana Comte-Walters, Lauren Ball, Mauricio Reginato

Kimmel Cancer Center Faculty Papers

The growth of breast tumors is driven and controlled by a subpopulation of cancer cells resembling adult stem cells, which are called cancer stem-like cells (CSCs). In breast cancer, the function and maintenance of CSCs are influenced by protein O-GlcNAcylation and the enzyme responsible for this post-translational modification, O-GlcNAc transferase (OGT). However, the mechanism of CSCs regulation by OGT and O-GlcNAc cycling in breast cancer is still unclear. Analysis of the proteome and O-GlcNAcome, revealed GATAD2B, a component of the Nucleosome Remodeling and Deacetylase (NuRD) complex, as a substrate regulated by OGT. Reducing GATAD2B genetically impairs mammosphere formation, decreases expression …

Consensus Recommendations For An Integrated Diagnostic Approach To Peripheral Nerve Sheath Tumors Arising In The Setting Of Neurofibromatosis Type 1, Calixto-Hope G Lucas, Andrea M Gross, Carlos G Romo, Carina A Dehner, Alexander J Lazar, Markku Miettinen, Melike Pekmezci, Martha Quezado, Fausto J Rodriguez, Anat Stemmer-Rachamimov, David Viskochil, Arie Perry

Faculty, Staff and Student Publications

Consensus recommendations published in 2017 histologically defining atypical neurofibromatous neoplasm of uncertain biologic potential (ANNUBP) and malignant peripheral nerve sheath tumor (MPNST) were codified in the 2021 WHO Classification of Tumors of the Central Nervous System and the 2022 WHO Classification of Tumors of Soft Tissue and Bone. However, given the shift in diagnostic pathology toward the use of integrated histopathologic and genomic approaches, the incorporation of additional molecular strata in the classification of Neurofibromatosis Type 1 (NF1)-associated peripheral nerve sheath tumors should be formalized to aid in accurate diagnosis and early identification of malignant transformation and enable appropriate intervention …

Investigating The Impact Of Electroconvulsive Therapy On Brain Networks And Sleep: An Observational Study Protocol, Mohammadmehdi Kafashan, Lucas Lebovitz, Robby Greenspan, Sijia Zhao, Tae Kim, Masud Husain, Tamara Hershey, Pilar Cristancho, R Edward Hogan, Ben Julian Agustin Palanca, Nuri B Farber, Dns-Ect Study Team

2020-Current year OA Pubs

INTRODUCTION: Electroconvulsive therapy (ECT) is a highly effective treatment for refractory depression, but it may also cause cognitive side effects. Despite decades of use, the mechanisms by which ECT exerts both its antidepressant and cognitive effects are still poorly understood, with the latter substantially limiting referral and adherence to therapy. ECT induces changes in correlated neural activity-functional connectivity-across various brain networks, which may underlie both its clinical efficacy and associated cognitive side effects. Electroencephalography (EEG) could address these knowledge gaps by identifying biomarkers that predict therapeutic outcomes or cognitive side effects. Such developments could ultimately improve patient selection and adherence. …

Diagnosis And Treatment Of Hypophosphatasia., L Seefried, F Genest, C Hofmann, M L Brandi, Eric T. Rush

Manuscripts, Articles, Book Chapters and Other Papers

Hypophosphatasia (HPP) is a rare inherited metabolic disorder characterized by deficient activity of tissue-nonspecific alkaline phosphatase (TNAP) caused by variants in the ALPL gene. Disease manifestations encompass skeletal hypomineralization with rickets and lung hypoplasia, vitamin B6-dependent seizures, craniosynostosis, and premature loss of deciduous teeth. The clinical presentation can comprise failure to thrive with muscular hypotonia, delayed motor development, and gait disturbances later in childhood. In adults, pseudofractures are a characteristic indicator of severely compromised enzyme activity, but non-canonical symptoms like generalized musculoskeletal pain, weakness, and fatigue, frequently accompanied by neuropsychiatric and gastrointestinal issues are increasingly recognized as key findings in …

Genome-Wide Prediction Of Dominant And Recessive Neurodevelopmental Disorder-Associated Genes, Ryan S Dhindsa, Blake A Weido, Justin S Dhindsa, Arya J Shetty, Chloe F Sands, Slavé Petrovski, Dimitrios Vitsios, Anthony W Zoghbi

Duncan NRI Faculty and Staff Publications

Despite great progress, thousands of neurodevelopmental disorder (NDD) risk genes remain to be discovered. We present a computational approach that accelerates NDD risk gene identification using machine learning. First, we demonstrate that models trained solely on single-cell RNA sequencing data can robustly predict genes implicated in autism spectrum disorder (ASD), developmental and epileptic encephalopathy (DEE), and developmental delay (DD). Notably, we find differences in gene expression patterns of genes with monoallelic and bi-allelic inheritance patterns in the developing human cortex. We then integrate expression data with 300 orthogonal features, including intolerance metrics, protein-protein interaction data, and others, in a semi-supervised …

Privacy-Preserving Framework For Genomic Computations Via Multi-Key Homomorphic Encryption, Mina Namazi, Mohammadali Farahpoor, Erman Ayday, Fernando Pérez-González

Faculty, Staff and Student Publications

Motivation: The affordability of genome sequencing and the widespread availability of genomic data have opened up new medical possibilities. Nevertheless, they also raise significant concerns regarding privacy due to the sensitive information they encompass. These privacy implications act as barriers to medical research and data availability. Researchers have proposed privacy-preserving techniques to address this, with cryptography-based methods showing the most promise. However, existing cryptography-based designs lack (i) interoperability, (ii) scalability, (iii) a high degree of privacy (i.e. compromise one to have the other), or (iv) multiparty analyses support (as most existing schemes process genomic information of each party individually). Overcoming …

Scupa: Single-Cell Unified Polarization Assessment Of Immune Cells Using The Single-Cell Foundation Model, Wendao Liu, Zhongming Zhao

Faculty, Staff and Student Publications

MOTIVATION: Immune cells undergo cytokine-driven polarization in response to diverse stimuli, altering their transcriptional profiles and functional states. This dynamic process is central to immune responses in health and diseases, yet a systematic approach to assess cytokine-driven polarization in single-cell RNA sequencing data has been lacking.

RESULTS: To address this gap, we developed single-cell unified polarization assessment (Scupa), the first computational method for comprehensive immune cell polarization assessment. Scupa leverages data from the Immune Dictionary, which characterizes cytokine-driven polarization states across 14 immune cell types. By integrating cell embeddings from the single-cell foundation model Universal Cell Embeddings, Scupa effectively identifies …

Comparison Between Maia And Mp-3 In Healthy Subjects And Patients With Diabetes, Diabetic Retinopathy, And Age-Related Macular Degeneration, Anna Marmalidou, Haleema Siddiqui, Muhammad Usman Jamil, Kwang Min Woo, Antonio Yaghy, A. Yasin Alibhai, Hiroyuki Takahashi, Stephanie Kaiser, Keith Effert, Peter Zhao, Shilpa Desai, Christopher Robinson, Jay Duker, Nadia Waheed

SKMC Student Presentations and Publications

PURPOSE: The purpose of this study was to assess the comparability of mean sensitivity (MS) values obtained using the Macular Integrity Assessment (MAIA; CenterVue S.p.A. [iCare], Padova, Italy) and Microperimeter-3 (MP-3; NIDEK CO., Ltd., Gamagori, Japan) microperimetry (MP) devices.

METHODS: This cross-sectional study includes subjects with healthy eyes, eyes with diabetes mellitus without diabetic retinopathy (DM no DR), diabetic retinopathy (DR), and non-exudative age-related macular degeneration (AMD). Patients underwent testing on both MAIA and MP-3 MP devices, using a 10-2 macular grid with 68 stimuli and identical parameters. A diagnosis-adjusted linear regression model and mixed modeling mapped MP-3 MS to …

Exploring Social Impairment In Those With Opioid Use Disorder: Linking Impulsivity, Childhood Trauma, And The Prefrontal Cortex, Thais Costa Macedo De Arruda, Laura Sinko, Paul Regier, Altona Tufanoglu, Adrian Curtin, Anne M. Teitelman, Hasan Ayaz, Peter F. Cronholm, Anna Rose Childress

College of Nursing Faculty Papers & Presentations

BACKGROUND: Challenges with social functioning, which is a hallmark of opioid use disorder (OUD), are a drawback in treatment adherence and maintenance. Yet, little research has explored the underlying mechanisms of this impairment. Impulsivity and corresponding neural alterations may be at the center of this issue. Childhood adversity, which has been linked to both impulsivity and poorer treatment outcomes, could also affect this relationship. This study explores the relationship between impulsivity, social functioning, and their neural correlates in the prefrontal cortex, while examining the potential moderating effects of childhood trauma in individuals recovering from OUD.

METHODS: Participants with (N = …

Ancestral Differences In Anticancer Treatment Efficacy And Their Underlying Genomic And Molecular Alterations, Mei Luo, Jingwen Yang, Alejandro A Schäffer, Chengxuan Chen, Yuan Liu, Yamei Chen, Chunru Lin, Lixia Diao, Yong Zang, Yanyan Lou, Huda Salman, Gordon B Mills, Eytan Ruppin, Leng Han

Faculty, Staff and Student Publications

Systematic multi-omics analysis revealed ancestry-dependent molecular alterations, but their impact on the efficacy of anti-cancer treatment is yet largely unknown. Here, we analyzed clinical trials from ClinicalTrials.gov and found that only 8,779/102,721 (8.5%) oncology clinical trials posted information on enrollment by race/ethnicity. The underrepresentation of non-White populations suggests that it remains challenging to determine differences in the efficacy of anti-tumor treatments among different racial groups. Through a comprehensive analysis of clinically actionable genes, imputed drug responses, and immune features, we identified potential differences in treatment response to targeted, chemo and immunotherapies between different ancestral populations. Further analysis of multiple independent …

A Novel Sensitivity Maximization At A Given Specificity Method For Binary Classifications, Seyyed Mahmood Ghasemi, Chunhui Gu, Johannes F Fahrmann, Samir Hanash, Kim-Anh Do, James P Long, Ehsan Irajizad

Faculty, Staff and Student Publications

In the cancer early detection field, logistic regression (LR) is a frequently used approach to establish a combination rule that differentiates cancer from noncancer. However, the application of LR relies on a maximum likelihood approach, which may not yield optimal combination rules for maximizing sensitivity at a clinically desirable specificity and vice versa. In this article, we have developed an improved regression framework, sensitivity maximization at a given specificity (SMAGS), for binary classification that finds the linear decision rule, yielding the maximum sensitivity for a given specificity or the maximum specificity for a given sensitivity. We additionally expand the framework …

Gain-Of-Function Chromatin Remodeling Activity Of Oncogenic Foxl2c134w Reprograms Glucocorticoid Receptor Occupancy To Drive Granulosa Cell Tumors, Thomas Welte, Veena K Vuttaradhi, Eleonora Y Khlebus, Allison Brodsky, Alejandra Flores Legarreta, Joseph Celestino, Reid T Powell, Clifford C Stephan, Nghi Nguyen, Jian Li, Shiro Takamatsu, Katherine Calzoncinth, Anil K Sood, David M Gershenson, P Andrew Futreal, Barrett Lawson, R Tyler Hillman

Faculty, Staff and Student Publications

Adult type ovarian granulosa cell tumors (AGCT) are rare malignancies with the near universal c.C402G (p.Cys134Trp) somatic mutation in FOXL2, a forkhead box family transcription factor important for ovarian function. Relapsed AGCT is incurable, but the mechanism of the unique FOXL2 mutation could confer therapeutic vulnerabilities. To identify FOXL2C134W-dependent pharmacologic synergies, we created and characterized endogenous FOXL2 isogenic AGCT cells and an AGCT tumoroid biobank. A drug screen identified that glucocorticoids promote FOXL2C134W-dependent AGCT growth. Epigenetic investigation revealed that the Cys134Trp mutation exposes latent DNA sequence-specific chromatin remodeling activity in FOXL2. FOXL2C134W-dependent chromatin remodeling activity redirected glucocorticoid receptor chromatin occupancy …

Connectome-Based Predictive Modeling Of Ptsd Development Among Recent Trauma Survivors, Ziv Ben-Zion, Alexander J Simon, Matthew Rosenblatt, Nachshon Korem, Or Duek, Israel Liberzon, Arieh Y Shalev, Talma Hendler, Ifat Levy, Ilan Harpaz-Rotem, Dustin Scheinost

Staff and Researcher Publications

Importance: The weak link between subjective symptom-based diagnostics for posttraumatic psychopathology and objective neurobiological indices hinders the development of effective personalized treatments.

Objective: To identify early neural networks associated with posttraumatic stress disorder (PTSD) development among recent trauma survivors.

Design, setting, and participants: This prognostic study used data from the Neurobehavioral Moderators of Posttraumatic Disease Trajectories (NMPTDT) large-scale longitudinal neuroimaging dataset of recent trauma survivors. The NMPTDT study was conducted from January 20, 2015, to March 11, 2020, and included adult civilians who were admitted to a general hospital emergency department in Israel and screened for early PTSD symptoms indicative …

Assessment Of The Sensitivity Of A Smartphone App To Assist Patients In The Identification Of Stroke And Myocardial Infarction: Cross-Sectional Study, Amar Dhand, Rama Mangipudi, Anubodh S Varshney, Jonathan R Crowe, Andria L Ford, Nancy K Sweitzer, Min Shin, Samuel Tate, Haissam Haddad, Michael E Kelly, James Muller, Jay S Shavadia

2020-Current year OA Pubs

BACKGROUND: Most people do not recognize symptoms of neurological and cardiac emergencies in a timely manner. This leads to delays in hospital arrival and reduced access to therapies that can open arteries. We created a smartphone app to help patients and families evaluate if symptoms may be high risk for stroke or heart attack (myocardial infarction, MI). The ECHAS (Emergency Call for Heart Attack and Stroke) app guides users to assess their risk through evidence-based questions and a test of weakness in one arm by evaluating finger-tapping on the smartphone.

OBJECTIVE: This study is an initial step in the accuracy …

Racial Equity In Urine Drug Screening Policies In Labor And Delivery, Vahid Azimi, Cassandra Trammel, Lauren Nacke, Alexandra Rubin, Lori Stevenson, Brittaney Vaughn, Stephen M Roper, Mark A Zaydman, Ronald Jackups, Noor Riaz, Kim P Schamel, Jeannie C Kelly

2020-Current year OA Pubs

IMPORTANCE: Black pregnant patients are significantly more likely than their White counterparts to undergo peripartum urine drug screening (UDS) and subsequent reporting to child protective services (CPS).

OBJECTIVE: To evaluate the association of removing isolated cannabis use and limited prenatal care as order indications, combined with clinician-facing clinical decision support, with racial parity in peripartum UDS and CPS reporting.

DESIGN, SETTING, AND PARTICIPANTS: This quality improvement study assessed 9396 pregnant patients at a single tertiary care center in a Midwestern US urban metropolitan region who delivered before (June 1, 2021, to September 31, 2022) and after (October 1, 2022, to …

Recovery Potential In Patients After Cardiac Arrest Who Die After Limitations Or Withdrawal Of Life Support, Jonathan Elmer, Patrick J Coppler, Cecelia Ratay, Alexis Steinberg, Sara Difiore-Sprouse, Nicholas Case, Baruch Fischhoff, Maria De-Arteaga, Alain Cariou, Alejandro A Rabinstein, Andrea O Rossetti, Ankur A Doshi, Bradley J Molyneaux, Cameron Dezfulian, Carolina B Maciel, Christoph Leithner, Cindy H Hsu, Claudio Sandroni, David M Greer, David B Seder, Francis X Guyette, Fabio Silvio Taccone, Hiromichi Naito, Jasmeet Soar, Jean-Baptiste Lascarrou, Jerry P Nolan, Karen G Hirsch, Katherine M Berg, Marion Moseby-Knappe, Markus B Skrifvars, Michael C Kurz, Min Jung Kathy Chae, Mypinder S Sekhon, Nicholas J Johnson, Pedro Kurtz, Romergryko G Geocadin, Sachin Agarwal, Teresa L May, Theresa M Olasveengen, Clifton W Callaway, Optimizing Recovery Prediction After Cardiac Arrest (Orca) Study Group

Faculty, Staff and Students Publications

Importance: Understanding the relationship between patients' clinical characteristics and outcomes is fundamental to medicine. When critically ill patients die after withdrawal of life-sustaining therapy (WLST), the inability to observe the potential for recovery with continued aggressive care could bias future clinical decisions and research.

Objective: To quantify the frequency with which experts consider patients who died after WLST following resuscitated cardiac arrest to have had recovery potential if life-sustaining therapy had been continued.

Design, setting, and participants: This prospective cohort study included comatose adult patients (aged ≥18 years) treated following resuscitation from cardiac arrest at a single academic medical center …

Just As Expected? Older Adults’ Aging Expectations Are Associated With Subjective Cognition, Nikki Hill, Sakshi Bhargava, Justin Do, Emily Bratlee-Whitaker, Monique Brown, Renata Komalasari, Rachel Wu, Jacqueline Mogle

SKMC Student Presentations and Publications

OBJECTIVES: This study investigated the relationship between older adults' expectations regarding aging and subjective cognition. Specifically, we examined whether the three domains of aging expectations (physical health, mental health, and cognitive function) were associated with two aspects of subjective cognition: current subjective cognition and subjective cognitive decline (SCD).

METHOD: An online survey was conducted among U.S. adults aged 65-90 (N = 581; M_age=71.4, SD ± 4.81; 51% female). Measures included the 12-item Expectations Regarding Aging scale, the 8-item PROMIS Cognitive Abilities scale (current subjective cognition), and the 12-item Everyday Cognition scale (SCD). We used generalized linear models …

Ethnoracial Disparities In Gray Matter Atrophy Are Mediated By Structural Disconnectivity In Multiple Sclerosis, Ahmed Bayoumi, Joseph A Thomas, Breanna R Alonzo, Juan Jimenez, Christopher M Orlando, Carlos A Pérez, Khader M Hasan, Jerry S Wolinsky, John A Lincoln

Faculty, Staff and Student Publications

Objective: To investigate ethnoracial disparities in gray matter (GM) atrophy, the contribution of white matter lesions and consequent structural disconnectivity among patients with multiple sclerosis (MS).

Methods: This retrospective study included 297 patients with MS (pwMS), 98 Hispanic/Latinx (H-MS), 82 non-Hispanic Black (B-MS), and 117 non-Hispanic White (W-MS). GM atrophy was assessed using univariate, voxel-based morphometry, and multivariate techniques, source-based morphometry. Structural disconnectivity secondary to white matter lesions was evaluated using the network modification tool. Mediation analyses explored relationships between ethnoracial groups, white matter lesions, structural disconnectivity, and gray matter atrophy.

Results: B-MS and H-MS generally exhibited greater gray matter …

Multiethnic Growth Standards For Fetal Body Composition And Organ Volumes Derived From 3d Ultrasonography, Katherine L Grantz, Wesley Lee, Lauren M Mack, Magdalena Sanz Cortes, Luis F Goncalves, Jimmy Espinoza, Roger B Newman, William A Grobman, Ronald J Wapner, Karin Fuchs, Mary E D'Alton, Daniel W Skupski, John Owen, Anthony Sciscione, Deborah A Wing, Michael P Nageotte, Angela C Ranzini, Edward K Chien, Sabrina Craigo, Seth Sherman, Robert E Gore-Langton, Dian He, Fasil Tekola-Ayele, Cuilin Zhang, Jagteshwar Grewal, Zhen Chen

Faculty, Staff and Student Publications

Background: A major goal of contemporary obstetrical practice is to optimize fetal growth and development throughout pregnancy. To date, fetal growth during prenatal care is assessed by performing ultrasonographic measurement of 2-dimensional fetal biometry to calculate an estimated fetal weight. Our group previously established 2-dimensional fetal growth standards using sonographic data from a large cohort with multiple sonograms. A separate objective of that investigation involved the collection of fetal volumes from the same cohort.

Objective: The Fetal 3D Study was designed to establish standards for fetal soft tissue and organ volume measurements by 3-dimensional ultrasonography and compare growth trajectories with …

Training Protocol And Calibration Of The International Caries Detection And Assessment System In A School-Based Clinical Trial Of Elementary School-Age Children, Jose-Miguel Yamal, Dania Mofleh, Ru-Jye Chuang, Mengxi Wang, Kila Johnson, Alejandra Garcia-Quintana, Tolulope Titiloye, Suchitra Nelson, Shreela V Sharma

Faculty, Staff and Student Publications

Objectives: This paper demonstrates International Caries Detection and Assessment System (ICDAS) training procedures and inter/intra-examiner reliability for lesion severity, activity, and filling criteria in an elementary school setting.

Methods: ICDAS training was conducted in December 2021 prior to a school-based cluster-randomized controlled trial. A total of 59 children (6-8 years old) in grades 1-2 from one school in Houston, Texas were recruited. Two licensed dentists received a 5-day training from an ICDAS trainer at the participating school. Thirty-eight children were evaluated at least once by each dental trainee, and 18 had repeat examinations. The ICDAS criteria were used to classify …

A Neoantigen Vaccine Generates Antitumour Immunity In Renal Cell Carcinoma, David A Braun, Giorgia Moranzoni, Vipheaviny Chea, Bradley A Mcgregor, Eryn Blass, Chloe R Tu, Allison P Vanasse, Cleo Forman, Juliet Forman, Alexander B Afeyan, Nicholas R Schindler, Yiwen Liu, Shuqiang Li, Jackson Southard, Steven L Chang, Michelle S Hirsch, Nicole R Leboeuf, Oriol Olive, Ambica Mehndiratta, Haley Greenslade, Keerthi Shetty, Susan Klaeger, Siranush Sarkizova, Christina B Pedersen, Matthew Mossanen, Isabel Carulli, Anna Tarren, Joseph Duke-Cohan, Alexis A Howard, J Bryan Iorgulescu, Bohoon Shim, Jeremy M Simon, Sabina Signoretti, Jon C Aster, Liudmila Elagina, Steven A Carr, Ignaty Leshchiner, Gad Getz, Stacey Gabriel, Nir Hacohen, Lars R Olsen, Giacomo Oliveira, Donna S Neuberg, Kenneth J Livak, Sachet A Shukla, Edward F Fritsch, Catherine J Wu, Derin B Keskin, Patrick A Ott, Toni K Choueiri

Faculty, Staff and Student Publications

Personalized cancer vaccines (PCVs) can generate circulating immune responses against predicted neoantigens1-6. However, whether such responses can target cancer driver mutations, lead to immune recognition of a patient's tumour and result in clinical activity are largely unknown. These questions are of particular interest for patients who have tumours with a low mutational burden. Here we conducted a phase I trial (ClinicalTrials.gov identifier NCT02950766) to test a neoantigen-targeting PCV in patients with high-risk, fully resected clear cell renal cell carcinoma (RCC; stage III or IV) with or without ipilimumab administered adjacent to the vaccine. At a median follow-up of 40.2 …