Genetic Phenomena Commons^™

A Regularized Bayesian Dirichlet-Multinomial Regression Model For Integrating Single-Cell-Level Omics And Patient-Level Clinical Study Data, Yanghong Guo, Lei Yu, Lei Guo, Lin Xu, Qiwei Li

Faculty, Staff and Student Publications

The abundance of various cell types can vary significantly among patients with varying phenotypes and even those with the same phenotype. Recent scientific advancements provide mounting evidence that other clinical variables, such as age, gender, and lifestyle habits, can also influence the abundance of certain cell types. However, current methods for integrating single-cell-level omics data with clinical variables are inadequate. In this study, we propose a regularized Bayesian Dirichlet-multinomial regression framework to investigate the relationship between single-cell RNA sequencing data and patient-level clinical data. Additionally, the model employs a novel hierarchical tree structure to identify such relationships at different cell-type …

Orthogonal And Multiplexable Genetic Perturbations With An Engineered Prime Editor And A Diverse Rna Array, Qichen Yuan, Hongzhi Zeng, Tyler C Daniel, Qingzhuo Liu, Yongjie Yang, Emmanuel C Osikpa, Qiaochu Yang, Advaith Peddi, Liliana M Abramson, Boyang Zhang, Yong Xu, Xue Gao

Faculty, Staff and Students Publications

Programmable and modular systems capable of orthogonal genomic and transcriptomic perturbations are crucial for biological research and treating human genetic diseases. Here, we present the minimal versatile genetic perturbation technology (mvGPT), a flexible toolkit designed for simultaneous and orthogonal gene editing, activation, and repression in human cells. The mvGPT combines an engineered compact prime editor (PE), a fusion activator MS2-p65-HSF1 (MPH), and a drive-and-process multiplex array that produces RNAs tailored to different types of genetic perturbation. mvGPT can precisely edit human genome via PE coupled with a prime editing guide RNA and a nicking guide RNA, activate endogenous gene expression …

Protocol For Culturing Patient-Derived Organoids Of Cervical Cancer, Rui Wang, Timothy Harris, Dalissa Negrón-Figueroa, David Lo, Allison Judge, D'Shaunique Walters, Bo Jiang, Lauren E Colbert

Faculty, Staff and Student Publications

Herein, we present a protocol for culturing patient-derived organoids (PDOs) of cervical cancer that includes workflows for tumor biopsy/resection tissue and cytobrush-sampled cells. We describe steps for PDO culture initiation, including rinsing, gentle dissociation, Lymphoprep separation, and cell assessment, as well as seeding cells from surgical and cytobrush tissue digestion. We then provide guidance on PDO maintenance and passage and techniques for producing conditioned medium. Overall, this protocol serves as a valuable guide for establishing and maintaining cervical cancer PDOs. For complete details on the use and execution of this protocol, please refer to Colbert et al.

Utility Of Colposcopy For The Screening And Management Of Cervical Cancer In Africa: A Cross-Sectional Analysis Of Providers’ Training And Practices, Joël Fokom Domgue, Issimouha Dille, Freddy Gnangnon, Sharon Kapambwe, Celine Bouchard, Nomonde Mbatani, Elodie Gauroy, Nathalie Ledaga Ambounda, Robert Yu, Fatoumata Sidibe, Joseph Kamgno, Bangaly Traore, Pierre-Marie Tebeu, Gregory Halle-Ekane, Mohenou Isidore Diomande, Jean-Marie Dangou, Fabrice Lecuru, Isaac Adewole, Marie Plante, Partha Basu, Sanjay Shete

Faculty, Staff and Student Publications

Introduction: Cervical cancer is a public health issue in Africa with devastating socioeconomic consequences due to the lack of organized screening programs. The success of screening programs depends on the appropriate investigation and management of women who test positive for screening. Colposcopic assessment following positive screening results is a noteworthy issue in Africa. This study aimed to assess the utilization of colposcopy by providers in the region.

Methods: A cross-sectional study was conducted in 2021-2022 among healthcare providers involved in cervical cancer prevention activities in Africa. They were invited to report prior colposcopy training, whether they performed colposcopy and the …

A Multiple X-Ray-Source Array (Mxa) System With A Planar Two-Dimensional Source Distribution For Digital Breast Tomosynthesis, Alejandro Sisniega, Andrew M Hernandez, Shadi A Shakeri, Elizabeth A Morris, John M Boone, Jeffrey H Siewerdsen, Paul R Schwoebel

Faculty, Staff and Student Publications

Background: Digital breast tomosynthesis (DBT) has outpaced digital mammography in clinical adoption in the United States; however, substantial technological limitations remain to image quality in DBT, including undersampling from a one-dimensional (1D) scan geometry, x-ray source motion during acquisition, and patient motion artifacts from long exam times.

Purpose: A thermionic cathode x-ray system employing two-dimensional (2D, planar) multiple x-ray-source arrays (MXA) is proposed to improve DBT image quality.

Methods: A 1D MXA, consisting of a linear array of thermionic cathodes was used to simulate a 2D MXA. The 1D MXA included 11 focal spots separated by a distance of Δd …

Promotion And Tenure For Medical Physicists Should Be Based On Article Specific Measures And Not On Journal Impact Factor, Samantha Hedrick, Jinzhong Yang, Yi Rong

Faculty, Staff and Student Publications

No abstract provided.

Genomic Insights For Personalised Care In Lung Cancer And Smoking Cessation: Motivating At-Risk Individuals Toward Evidence-Based Health Practices, Tony Chen, Giang Pham, Louis Fox, Nina Adler, Xiaoyu Wang, Jingning Zhang, Jinyoung Byun, Younghun Han, Gretchen R B Saunders, Dajiang Liu, Michael J Bray, Alex T Ramsey, James Mckay, Laura J Bierut, Christopher I Amos, Rayjean J Hung, Xihong Lin, Haoyu Zhang, Li-Shiun Chen

Faculty, Staff and Students Publications

BACKGROUND: Lung cancer and tobacco use pose significant global health challenges, necessitating a comprehensive translational roadmap for improved prevention strategies such as cancer screening and tobacco treatment, which are currently under-utilised. Polygenic risk scores (PRSs) may further motivate health behaviour change in primary care for lung cancer in diverse populations. In this work, we introduce the GREAT care paradigm, which integrates PRSs within comprehensive patient risk profiles to motivate positive health behaviour changes.

METHODS: We developed PRSs using large-scale multi-ancestry genome-wide association studies and standardised PRS distributions across all ancestries. We validated our PRSs in 561,776 individuals of diverse ancestry …

Genetic Risk Factors Underlying White Matter Hyperintensities And Cortical Atrophy, Yash Patel, Jean Shin, Eeva Sliz, Ariana Tang, Aniket Mishra, Rui Xia, Edith Hofer, Hema Sekhar Reddy Rajula, Ruiqi Wang, Frauke Beyer, Katrin Horn, Max Riedl, Jing Yu, Henry Völzke, Robin Bülow, Uwe Völker, Stefan Frenzel, Katharina Wittfeld, Sandra Van Der Auwera, Thomas H Mosley, Vincent Bouteloup, Jean-Charles Lambert, Geneviève Chêne, Carole Dufouil, Christophe Tzourio, Jean-François Mangin, Rebecca F Gottesman, Myriam Fornage, Reinhold Schmidt, Qiong Yang, Veronica Witte, Markus Scholz, Markus Loeffler, Gennady V Roshchupkin, M Arfan Ikram, Hans J Grabe, Sudha Seshadri, Stephanie Debette, Tomas Paus, Zdenka Pausova

Faculty, Staff and Student Publications

White matter hyperintensities index structural abnormalities in the cerebral white matter, including axonal damage. The latter may promote atrophy of the cerebral cortex, a key feature of dementia. Here, we report a study of 51,065 individuals from 10 cohorts demonstrating that higher white matter hyperintensity volume associates with lower cortical thickness. The meta-GWAS of white matter hyperintensities-associated cortical 'atrophy' identifies 20 genome-wide significant loci, and enrichment in genes specific to vascular cell types, astrocytes, and oligodendrocytes. White matter hyperintensities-associated cortical 'atrophy' showed positive genetic correlations with vascular-risk traits and plasma biomarkers of neurodegeneration, and negative genetic correlations with cognitive functioning. …

Patient-Reported Convenience And Effectiveness Of Telehealth For Breast Cancer Management, Akshara Singareeka Raghavendra, Kristofer Jennings, Gil Guerra, Debu Tripathy, Meghan S Karuturi

Faculty, Staff and Student Publications

Background: Before the coronavirus disease 2019 (COVID-19) pandemic, telehealth was rarely used for breast cancer management at tertiary care centers. We sought to examine patient satisfaction, experiences, preferences, and perceived effectiveness and technical quality of telehealth visits in follow-up patients receiving routine outpatient care in the breast medical oncology practice at The University of Texas MD Anderson Cancer Center.

Methods: We administered a survey to 60 follow-up patients for a duration of 9 months (January 5, 2021 to October 27, 2021) who had at least one telehealth consultation during the COVID-19 pandemic, from April 10, 2020 to October 21, 2021. …

Micrornas Are Enriched At Covid-19 Genomic Risk Regions, And Their Blood Levels Correlate With The Covid-19 Prognosis Of Cancer Patients Infected By Sars-Cov-2, Simone Anfossi, Faezeh Darbaniyan, Joseph Quinlan, Steliana Calin, Masayoshi Shimizu, Meng Chen, Paola Rausseo, Michael Winters, Elena Bogatenkova, Kim-Anh Do, Ivan Martinez, Ziyi Li, Loredana Antal, Tudor Rares Olariu, Ignacio Wistuba, George A Calin

Faculty, Staff and Student Publications

Background: Cancer patients are more susceptible to an aggressive course of COVID-19. Developing biomarkers identifying cancer patients at high risk of COVID-19-related death could help determine who needs early clinical intervention. The miRNAs hosted in the genomic regions associated with the risk of aggressive COVID-19 could represent potential biomarkers for clinical outcomes.

Patients and methods: Plasma samples were collected at The University of Texas MD Anderson Cancer Center from cancer patients (N = 128) affected by COVID-19. Serum samples were collected from vaccinated healthy individuals (n = 23) at the Municipal Clinical Emergency Teaching Hospital in Timisoara, Romania. An in …

Semi-Supervised Machine Learning Method For Predicting Homogeneous Ancestry Groups To Assess Hardy-Weinberg Equilibrium In Diverse Whole-Genome Sequencing Studies, Derek Shyr, Rounak Dey, Xihao Li, Hufeng Zhou, Eric Boerwinkle, Steve Buyske, Mark Daly, Richard A Gibbs, Ira Hall, Tara Matise, Catherine Reeves, Nathan O Stitziel, Michael Zody, Benjamin M Neale, Xihong Lin

Faculty, Staff and Student Publications

Large-scale, multi-ethnic whole-genome sequencing (WGS) studies, such as the National Human Genome Research Institute Genome Sequencing Program's Centers for Common Disease Genomics (CCDG), play an important role in increasing diversity for genetic research. Before performing association analyses, assessing Hardy-Weinberg equilibrium (HWE) is a crucial step in quality control procedures to remove low quality variants and ensure valid downstream analyses. Diverse WGS studies contain ancestrally heterogeneous samples; however, commonly used HWE methods assume that the samples are homogeneous. Therefore, directly applying these to the whole dataset can yield statistically invalid results. To account for this heterogeneity, HWE can be tested on …

Il-22 Resolves Masld Via Enterocyte Stat3 Restoration Of Diet-Perturbed Intestinal Homeostasis, Peng Zhang, Junlai Liu, Allen Lee, Irene Tsaur, Masafumi Ohira, Vivian Duong, Nicholas Vo, Kosuke Watari, Hua Su, Ju Youn Kim, Li Gu, Mandy Zhu, Shabnam Shalapour, Mojgan Hosseini, Gautam Bandyopadhyay, Suling Zeng, Cristina Llorente, Haoqi Nina Zhao, Santosh Lamichhane, Siddharth Mohan, Pieter C Dorrestein, Jerrold M Olefsky, Bernd Schnabl, Pejman Soroosh, Michael Karin

Faculty, Staff and Student Publications

The exponential rise in metabolic dysfunction-associated steatotic liver disease (MASLD) parallels the ever-increasing consumption of energy-dense diets, underscoring the need for effective MASLD-resolving drugs. MASLD pathogenesis is linked to obesity, diabetes, "gut-liver axis" alterations, and defective interleukin-22 (IL-22) signaling. Although barrier-protective IL-22 blunts diet-induced metabolic alterations, inhibits lipid intake, and reverses microbial dysbiosis, obesogenic diets rapidly suppress its production by small intestine-localized innate lymphocytes. This results in STAT3 inhibition in intestinal epithelial cells (IECs) and expansion of the absorptive enterocyte compartment. These MASLD-sustaining aberrations were reversed by administration of recombinant IL-22, which resolved hepatosteatosis, inflammation, fibrosis, and insulin resistance. Exogenous …

Panel Stacking Is A Threat To Consensus Statement Validity, Kasper P Kepp, Preben Aavitsland, Marcel Ballin, Francois Balloux, Stefan Baral, Kevin Bardosh, Howard Bauchner, Eran Bendavid, Raj Bhopal, Daniel T Blumstein, Paolo Boffetta, Florence Bourgeois, Adam Brufsky, Peter J Collignon, Sally Cripps, Ioana A Cristea, Nigel Curtis, Benjamin Djulbegovic, Oliver Faude, Maria Elena Flacco, Gordon H Guyatt, George Hajishengallis, Lars G Hemkens, Tammy Hoffmann, Ari R Joffe, Terry P Klassen, Despina Koletsi, Dimitrios P Kontoyiannis, Ellen Kuhl, Carlo La Vecchia, Tea Lallukka, John Lambris, Michael Levitt, Spyros Makridakis, Helena C Maltezou, Lamberto Manzoli, Ana Marusic, Clio Mavragani, David Moher, Ben W Mol, Taulant Muka, Florian Naudet, Paul W Noble, Anna Nordström, Peter Nordström, Nikolaos Pandis, Stefania Papatheodorou, Chirag J Patel, Irene Petersen, Stefan Pilz, Nikolaus Plesnila, Anne-Louise Ponsonby, Manuel A Rivas, Andrea Saltelli, Manuel Schabus, Michaéla C Schippers, Holger Schünemann, Marco Solmi, Andreas Stang, Hendrik Streeck, Joachim P Sturmberg, Lehana Thabane, Brett D Thombs, Athanasios Tsakris, Simon N Wood, John P A Ioannidis

Faculty, Staff and Student Publications

Consensus statements can be very influential in medicine and public health. Some of these statements use systematic evidence synthesis but others fail on this front. Many consensus statements use panels of experts to deduce perceived consensus through Delphi processes. We argue that stacking of panel members toward one particular position or narrative is a major threat, especially in absence of systematic evidence review. Stacking may involve financial conflicts of interest, but nonfinancial conflicts of strong advocacy can also cause major bias. Given their emerging importance, we describe here how such consensus statements may be misleading, by analyzing in depth a …

Nanoscale Gold Nanoparticle (Gnp)-Laden Tumor Cell Model And Its Use For Estimation Of Intracellular Dose From Gnp-Induced Secondary Electrons, Sandun Jayarathna, Amrit Kaphle, Sunil Krishnan, Sang Hyun Cho

Faculty, Staff and Student Publications

Background: Gold nanoparticles (GNPs) accumulated within tumor cells have been shown to sensitize tumors to radiotherapy. From a physics point of view, the observed GNP-mediated radiosensitization is due to various downstream effects of the secondary electron (SE) production from internalized GNPs such as GNP-mediated dose enhancement. Over the years, numerous computational investigations on GNP-mediated dose enhancement/radiosensitization have been conducted. However, such investigations have relied mostly on simple cellular geometry models and/or artificial GNP distributions. Thus, it is at least desirable, if not necessary, to conduct further investigations using cellular geometry models that properly reflect realistic cell morphology as well as …

Landmark-Based Auto-Contouring Of Clinical Target Volumes For Radiotherapy Of Nasopharyngeal Cancer, Carlos Sjogreen, Tucker J Netherton, Anna Lee, Moaaz Soliman, Skylar S Gay, Callistus Nguyen, Raymond Mumme, Ivan Vazquez, Dong Joo Rhee, Carlos E Cardenas, Mary K Martel, Beth M Beadle, Laurence Edward Court

Faculty, Staff and Student Publications

Background: The delineation of clinical target volumes (CTVs) for radiotherapy for nasopharyngeal cancer is complex and varies based on the location and extent of disease.

Purpose: The current study aimed to develop an auto-contouring solution following one protocol guidelines (NRG-HN001) that can be adjusted to meet other guidelines, such as RTOG-0225 and the 2018 International guidelines.

Methods: The study used 2-channel 3-dimensional U-Net and nnU-Net framework to auto-contour 27 normal structures in the head and neck (H&N) region that are used to define CTVs in the protocol. To define the CTV-Expansion (CTV1 and CTV2) and CTV-Overall (the outer envelope of …

Quantitative Evaluation Of 90y-Pet/Ct And 90y-Spect/Ct-Based Dosimetry Following Yttrium-90 Radioembolization, Srinivas Cheenu Kappadath, Eric Courtney Henry, Benjamin P Lopez, Armeen Mahvash

Faculty, Staff and Student Publications

Background: Following yttrium-90 radioembolization (90Y-RE), 90Y-PET/CT and 90Y-SPECT/CT imaging provide the means to calculate the voxelized absorbed dose distribution. Given the widespread use of the two imaging modalities and lack of well-established standardized dosimetry protocols for 90Y-RE, there is a clinical need to systematically investigate and evaluate differences in the performance of voxel-based dosimetry between 90Y-PET/CT and 90Y-SPECT/CT.

Purpose: To quantitatively analyze and compare 90Y-PET/CT and 90Y-SPECT/CT-based dosimetry following 90Y-RE.

Methods: 90Y-PET/CT and 90Y-SPECT/CT imaging was acquired for 35 patients following 90Y-RE with TheraSphere for the treatment of unresectable hepatocellular carcinoma. Dosimetry was performed using the local deposition method with …

Accelerated Tumor Progression After Covid-19 Infection In Patients With Glioblastoma: A Retrospective Case-Control Study, Timothy A Gregory, Stephanie R Knight, Ashley E Aaroe, Kaitlin N Highsmith, Zachary C Janatpour, Barbara J O'Brien, Nazanin K Majd, Monica E Loghin, Chirag B Patel, Shiao-Pei Weathers, Vinay K Puduvalli, Carlos Kamiya-Matsuoka

Faculty, Staff and Student Publications

Background: We observed rapid tumor progression following COVID-19 infection among patients with glioblastoma and sought to systematically characterize their disease course in a retrospective case-control study.

Methods: Using an institutional database, we retrospectively identified a series of COVID-19-positive glioblastoma cases and matched them by age and sex 1:2 to glioblastoma controls who had a negative COVID-19 test during their disease course. Demographic and clinical data were analyzed. Hyperprogression was defined using modified response evaluation criteria in solid tumors criteria. Time to progression and overall survival were estimated using the Kaplan-Meier method.

Results: Thirty-two glioblastoma cases with positive COVID-19 testing were …

Discordant Prenatal Cell-Free Dna Screening Vs. Diagnostic Results Of Sex Chromosome Aneuploidies: Implications For Newborn Screening And Genetic Counseling, Susan Howell, Shanlee M. Davis, Billie Carstens, Mary Haag, Judith L. Ross, Nicole R. Tartaglia

Department of Pediatrics Faculty Papers

Sex chromosome aneuploidies (SCAs) collectively occur in 1 in 500 livebirths, and diagnoses in the neonatal period are increasing with advancements in prenatal and early genetic testing. Inevitably, SCA will be identified on either routine prenatal or newborn screening in the near future. Tetrasomy SCAs are rare, manifesting more significant phenotypes compared to trisomies. Prenatal cell-free DNA (cfDNA) screening has been demonstrated to have relatively poor positive predictive values (PPV) in SCAs, directing genetic counseling discussions towards false-positive likelihood rather than thoroughly addressing all possible outcomes and phenotypes, respectively. The eXtraordinarY Babies study is a natural history study of children …

Personal Light Exposure Patterns And Incidence Of Type 2 Diabetes: Analysis Of 13 Million Hours Of Light Sensor Data And 670,000 Person-Years Of Prospective Observation, Daniel P Windred, Angus C Burns, Martin K Rutter, Chris Ho Ching Yeung, Jacqueline M Lane, Qian Xiao, Richa Saxena, Sean W Cain, Andrew J K Phillips

Faculty, Staff and Student Publications

BACKGROUND: Light at night disrupts circadian rhythms, and circadian disruption is a risk factor for type 2 diabetes. Whether personal light exposure predicts diabetes risk has not been demonstrated in a large prospective cohort. We therefore assessed whether personal light exposure patterns predicted risk of incident type 2 diabetes in UK Biobank participants, using ∼13 million hours of light sensor data.

METHODS: Participants (N = 84,790, age (M ± SD) = 62.3 ± 7.9 years, 58% female) wore light sensors for one week, recording day and night light exposure. Circadian amplitude and phase were modeled from weekly light data. Incident …

Distinct Genetic Liability Profiles Define Clinically Relevant Patient Strata Across Common Diseases, Lucia Trastulla, Georgii Dolgalev, Sylvain Moser, Laura T. Jiménez-Barrón, Till F. M. Andlauer, Moritz Von Scheidt, Schizophrenia Working Group Of The Psychiatric Genomics Consortium:, Douglas M. Ruderfer, Stephan Ripke, Andrew Mcquillin, Eli A. Stahl, Enrico Domenici, Rolf Adolfsson, Ingrid Agartz, Esben Agerbo, Margot Albus, Madeline Alexander, Farooq Amin, Silviu A. Bacanu, Martin Begemann, Richard A. Belliveau Jr., Judit Bene, Sarah E. Bergen, Elizabeth Bevilacqua, Tim B. Bigdeli, Donald W. Black, Douglas H. R. Blackwood, Anders D. Borglum, Nancy G. Buccola, Et Al

School of Nursing Faculty Publications

Stratified medicine holds great promise to tailor treatment to the needs of individual patients. While genetics holds great potential to aid patient stratification, it remains a major challenge to operationalize complex genetic risk factor profiles to deconstruct clinical heterogeneity. Contemporary approaches to this problem rely on polygenic risk scores (PRS), which provide only limited clinical utility and lack a clear biological foundation. To overcome these limitations, we develop the CASTom-iGEx approach to stratify individuals based on the aggregated impact of their genetic risk factor profiles on tissue specific gene expression levels. The paradigmatic application of this approach to coronary artery …

Evaluating Automatically Generated Normal Tissue Contours For Safe Use In Head And Neck And Cervical Cancer Treatment Planning, Raphael Douglas, Adenike Olanrewaju, Raymond Mumme, Lifei Zhang, Beth M Beadle, Laurence Edward Court

Faculty, Staff and Student Publications

Purpose: Volumetric-modulated arc therapy (VMAT) is a widely accepted treatment method for head and neck (HN) and cervical cancers; however, creating contours and plan optimization for VMAT plans is a time-consuming process. Our group has created an automated treatment planning tool, the Radiation Planning Assistant (RPA), that uses deep learning models to generate organs at risk (OARs), planning structures and automates plan optimization. This study quantitatively evaluates the quality of contours generated by the RPA tool.

Methods: For patients with HN (54) and cervical (39) cancers, we retrospectively generated autoplans using the RPA. Autoplans were generated using deep-learning and RapidPlan …

Evaluating The Relationship Between Magnetic Resonance Image Quality Metrics And Deep Learning-Based Segmentation Accuracy Of Brain Tumors, Rajarajeswari Muthusivarajan, Adrian Celaya, Joshua P Yung, James P Long, Satish E Viswanath, Daniel S Marcus, Caroline Chung, David Fuentes

Faculty, Staff and Student Publications

Background: Magnetic resonance imaging (MRI) scans are known to suffer from a variety of acquisition artifacts as well as equipment-based variations that impact image appearance and segmentation performance. It is still unclear whether a direct relationship exists between magnetic resonance (MR) image quality metrics (IQMs) (e.g., signal-to-noise, contrast-to-noise) and segmentation accuracy.

Purpose: Deep learning (DL) approaches have shown significant promise for automated segmentation of brain tumors on MRI but depend on the quality of input training images. We sought to evaluate the relationship between IQMs of input training images and DL-based brain tumor segmentation accuracy toward developing more generalizable models …

A Multilevel Intervention To Promote Hpv Vaccination Among Young Adults In Texas: Protocol For A Randomized Controlled Trial, Qian Lu, Lenna Dawkins-Moultin, Dalnim Cho, Naomi Q P Tan, Suellen Hopfer, Yisheng Li, Lois Ramondetta, Yusi Xu, Di Lun, Minxing Chen

Faculty, Staff and Student Publications

Background: Human papillomavirus (HPV) infections can cause cancers of the cervix, vagina, vulva, penis, anus, and oropharynx. The most recently approved HPV vaccine, Gardasil-9, protects against HPV infection and can prevent HPV-associated invasive cancers. However, Gardasil-9 is one of the most underused vaccines in the US today. Young adults are at risk for HPV infection, but many are not vaccinated. This study uses a randomized controlled trial (RCT) to test an innovative multilevel intervention to increase HPV vaccination rates among young adults. In this paper, we describe the research protocol.

Methods: The study uses a two by three factorial design. …

Automated Spontaneous Echo Contrast Detection Using A Multisequence Attention Convolutional Neural Network, Ouwen Huang, Zewei Shi, Naveen Garg, Corey Jensen, Mark L Palmeri

Faculty, Staff and Student Publications

OBJECTIVE: Spontaneous echo contrast (SEC) is a vascular ultrasound finding associated with increased thromboembolism risk. However, identification requires expert determination and clinician time to report. We developed a deep learning model that can automatically identify SEC. Our model can be applied retrospectively without deviating from routine clinical practice. The retrospective nature of our model means future works could scan archival data to opportunistically correlate SEC findings with documented clinical outcomes.

METHODS: We curated a data set of 801 archival acquisitions along the femoral vein from 201 patients. We used a multisequence convolutional neural network (CNN) with ResNetv2 backbone and visualized …

Generation Of A Humanized Mace2 And A Conditional Hace2 Mouse Models Permissive To Sars-Cov-2 Infection, I-Wen Song, Megan Washington, Carolina Leynes, Jason Hsu, Kempaiah Rayavara, Yangjin Bae, Nele Haelterman, Yuqing Chen, Ming-Ming Jiang, Aleksandra Drelich, Vivian Tat, Denise G Lanza, Isabel Lorenzo, Jason D Heaney, Chien-Te Kent Tseng, Brendan Lee, Ronit Marom

Faculty, Staff and Students Publications

The Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) remains a public health concern and a subject of active research effort. Development of pre-clinical animal models is critical to study viral-host interaction, tissue tropism, disease mechanisms, therapeutic approaches, and long-term sequelae of infection. Here, we report two mouse models for studying SARS-CoV-2: A knock-in mAce2F83Y,H353K mouse that expresses a mouse-human hybrid form of the angiotensin-converting enzyme 2 (ACE2) receptor under the endogenous mouse Ace2 promoter, and a Rosa26 conditional knock-in mouse carrying the human ACE2 allele (Rosa26hACE2). Although the mAce2F83Y,H353K mice were susceptible to …

Individual Longitudinal Changes In Dna-Methylome Identify Signatures Of Early-Life Adversity And Correlate With Later Outcome, Annabel K. Short, Ryan Weber, Noriko Kamei, Christina Wilcox Thai, Hina Arora, Ali Mortazavi, Hal S. Stern, Laura M. Glynn, Tallie Z. Baram

Psychology Faculty Articles and Research

Adverse early-life experiences (ELA) affect a majority of the world's children. Whereas the enduring impact of ELA on cognitive and emotional health is established, there are no tools to predict vulnerability to ELA consequences in an individual child. Epigenetic markers including peripheral-cell DNA-methylation profiles may encode ELA and provide predictive outcome markers, yet the interindividual variance of the human genome and rapid changes in DNA methylation in childhood pose significant challenges. Hoping to mitigate these challenges we examined the relation of several ELA dimensions to DNA methylation changes and outcome using a within-subject longitudinal design and a high methylation-change threshold. …

Phase 1b Study Of Batiraxcept In Combination With Durvalumab In Patients With Platinum-Resistant Ovarian Cancer, Anne Knisely, Emily M Hinchcliff, Elisabeth Gardiner, Reshma Rangwala, Kathryn Lito, Bryan Fellman, Ying Yuan, Anil K Sood, Shannon N Westin, Karen H Lu, Amir A Jazaeri

Faculty, Staff and Student Publications

Combining an immune checkpoint inhibitor with batiraxcept (AVB-S6-500), an AXL inhibitor that acts via selective binding to growth arrest-specific protein 6 (GAS6), may improve anti-tumor immunity in platinum-resistant ovarian cancer (PROC). This phase 1b trial of durvalumab in combination with escalating doses of batiraxcept enrolled patients with recurrent PROC (NCT04019288). The primary objective was to determine the toxicity profile of the combination. Eleven patients were enrolled on the trial. No dose-limiting toxicities were observed, and no objective responses were noted. Median progression free survival (PFS) was 1.81 months (95% confidence interval (CI) 1.71–2.40), and median overall survival (OS) was 4.53 …

Optimized Scoring Of End-To-End Dosimetry Audits For Passive Motion Management – A Simulation Study Using The Iroc Thorax Phantom, Alex Burton, Mathieu Gaudreault, Nicholas Hardcastle, Jessica Lye, Sabeena Beveridge, Stephen F Kry, Rick Franich

Faculty, Staff and Student Publications

Dosimetry audits for passive motion management require dynamically-acquired measurements in a moving phantom to be compared to statically calculated planned doses. This study aimed to characterise the relationship between planning and delivery errors, and the measured dose in the Imaging and Radiation Oncology Core (IROC) thorax phantom, to assess different audit scoring approaches. Treatment plans were created using a 4DCT scan of the IROC phantom, equipped with film and thermoluminescent dosimeters (TLDs). Plans were created on the average intensity projection from all bins. Three levels of aperture complexity were explored: dynamic conformal arcs (DCAT), low-, and high-complexity volumetric modulated arcs …

Targeted Accurate Rna Consensus Sequencing (Tarc-Seq) Reveals Mechanisms Of Replication Error Affecting Sars-Cov-2 Divergence, Catherine C Bradley, Chen Wang, Alasdair J E Gordon, Alice X Wen, Pamela N Luna, Matthew B Cooke, Brendan F Kohrn, Scott R Kennedy, Vasanthi Avadhanula, Pedro A Piedra, Olivier Lichtarge, Chad A Shaw, Shannon E Ronca, Christophe Herman

Duncan NRI Faculty and Staff Publications

RNA viruses, like SARS-CoV-2, depend on their RNA-dependent RNA polymerases (RdRp) for replication, which is error-prone. Monitoring replication errors is crucial for understanding the virus’s evolution. Current methods lack the precision to detect rare de novo RNA mutations, particularly in low-input samples such as those from patients. Here, we introduce a new targeted Accurate RNA Consensus sequencing method (tARC-seq) to accurately determine the mutation frequency and types in SARS-CoV-2, both in cell culture and clinical samples. Our findings show an average of 2.68×10−5 new errors per cycle with a C>T bias that cannot be solely attributed to APOBEC …

Nivolumab Plus Chemotherapy In Epidermal Growth Factor Receptor-Mutated Metastatic Non-Small-Cell Lung Cancer After Disease Progression On Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors: Final Results Of Checkmate 722, Tony Mok, Kazuhiko Nakagawa, Keunchil Park, Yuichiro Ohe, Nicolas Girard, Hye Ryun Kim, Yi-Long Wu, Justin Gainor, Se-Hoon Lee, Chao-Hua Chiu, Sang-We Kim, Cheng-Ta Yang, Chien Liang Wu, Lin Wu, Meng-Chih Lin, Jens Samol, Kazuya Ichikado, Mengzhao Wang, Xiaoqing Zhang, Judi Sylvester, Sunney Li, Ann Forslund, James Chih-Hsin Yang

Faculty, Staff and Student Publications

PURPOSE: The phase III CheckMate 722 trial (ClinicalTrials.gov identifier: NCT02864251) evaluated nivolumab plus chemotherapy versus chemotherapy in patients with epidermal growth factor receptor (

METHODS: Patients with disease progression after first- or second-generation EGFR TKI therapy (without

RESULTS: Overall, 294 patients were randomly assigned. At final analysis (median follow-up, 38.1 months), PFS was not significantly improved with nivolumab plus chemotherapy versus chemotherapy (median, 5.6

CONCLUSION: Nivolumab plus chemotherapy did not significantly improve PFS versus chemotherapy in patients with