Digital Commons Network^™

Targeting Aberrant Replication And Dna Repair Events For Treating Breast Cancers, Subapriya Rajamanickam, Jun Hyoung Park, Panneerdoss Subbarayalu, Santosh Timilsina, Kaitlyn Bates, Pooja Yadav, Saif S R Nirzhor, Vijay Eedunuri, Tabrez A Mohammad, Kwang Hwa Jung, Benjamin Onyeagucha, Nourhan Abdelfattah, Raymond Benevides, Grace Lee, Yidong Chen, Ratna Vadlamudi, Andrew Brenner, Virginia Kaklamani, Ismail Jatoi, John Kuhn, Robert Hromas, Yogesh K Gupta, Benny A Kaipparettu, Jack L Arbiser, Manjeet K Rao

Faculty, Staff and Students Publications

The major limitations of DNA-targeting chemotherapy drugs include life-threatening toxicity, acquired resistance and occurrence of secondary cancers. Here, we report a small molecule, Carbazole Blue (CB), that binds to DNA and inhibits cancer growth and metastasis by targeting DNA-related processes that tumor cells use but not the normal cells. We show that CB inhibits the expression of pro-tumorigenic genes that promote unchecked replication and aberrant DNA repair that cancer cells get addicted to survive. In contrast to chemotherapy drugs, systemic delivery of CB suppressed breast cancer growth and metastasis with no toxicity in pre-clinical mouse models. Using PDX and ex …

Access To Services From Persons With Disabilities In Afghanistan: Is Community Based Rehabilitation Making A Difference?, Jean-Francois Trani, Kyle A Pitzer, Juanita Vasquez Escallon, Parul Bakhshi

Open Access Publications

The United Nations Convention on the Rights of Persons with Disabilities (UNCRPD), ratified in 2006, states that the achievement of equal rights, empowerment, and social inclusion of people with disabilities requires comprehensive rehabilitation services involving educational, social, economic, and medical interventions, all dimensions of the World Health Organization Community based rehabilitation (CBR) matrix. CBR programs aim at achieving those goals. In the present study, we investigated whether a large scale CBR program is improving access to multiple services (namely physical therapy, assistive technology, education, employment, advocacy, and community awareness) and providing satisfactions (by measuring the reduction in unmet needs) of …

Dedifferentiation-Mediated Stem Cell Niche Maintenance In Early-Stage Ductal Carcinoma In Situ Progression: Insights From A Multiscale Modeling Study, Joseph D Butner, Prashant Dogra, Caroline Chung, Javier Ruiz-Ramírez, Sara Nizzero, Marija Plodinec, Xiaoxian Li, Ping-Ying Pan, Shu-Hsia Chen, Vittorio Cristini, Bulent Ozpolat, George A Calin, Zhihui Wang

Faculty, Staff and Student Publications

We present a multiscale agent-based model of ductal carcinoma in situ (DCIS) to study how key phenotypic and signaling pathways are involved in the early stages of disease progression. The model includes a phenotypic hierarchy, and key endocrine and paracrine signaling pathways, and simulates cancer ductal growth in a 3D lattice-free domain. In particular, by considering stochastic cell dedifferentiation plasticity, the model allows for study of how dedifferentiation to a more stem-like phenotype plays key roles in the maintenance of cancer stem cell populations and disease progression. Through extensive parameter perturbation studies, we have quantified and ranked how DCIS is …

An Observational Retrospective Study Of Adverse Events And Behavioral Outcomes During Pediatric Dental Sedation, Kawtar Zouaidi, Gregory Olson, Helen H Lee, Elsbeth Kalenderian, Muhammad F Walji

Faculty, Staff and Student Publications

Purpose: The purpose of this study was to examine a university-based dental electronic health records (EHR) database to identify sedation-related adverse events (AEs) and assess patients' behavioral outcomes during routine pediatric dental sedations (PDSs) in a dental school clinic.

Methods: A database was screened for patients younger than 18 years old who had received dental sedation in 2019. The qualifying EHRs were then accessed and sedations were reviewed for AEs, which were categorized using a 12-point classification system and the Tracking and Reporting Outcomes of Procedural Sedation Tool. Patient behaviors were assessed using provider progress notes and categorized as presence/ …

Factors Associated With Covid-19 Death In The United States: Cohort Study, Uan-I Chen, Hua Xu, Trudy Millard Krause, Raymond Greenberg, Xiao Dong, Xiaoqian Jiang

Faculty, Staff and Student Publications

BACKGROUND: Since the initial COVID-19 cases were identified in the United States in February 2020, the United States has experienced a high incidence of the disease. Understanding the risk factors for severe outcomes identifies the most vulnerable populations and helps in decision-making.

OBJECTIVE: This study aims to assess the factors associated with COVID-19-related deaths from a large, national, individual-level data set.

METHODS: A cohort study was conducted using data from the Optum de-identified COVID-19 electronic health record (EHR) data set; 1,271,033 adult participants were observed from February 1, 2020, to August 31, 2020, until their deaths due to COVID-19, deaths …

Prioritization Of Risk Genes In Multiple Sclerosis By A Refined Bayesian Framework Followed By Tissue-Specificity And Cell Type Feature Assessment, Andi Liu, Astrid M Manuel, Yulin Dai, Zhongming Zhao

Faculty, Staff and Student Publications

BACKGROUND: Multiple sclerosis (MS) is a debilitating immune-mediated disease of the central nervous system that affects over 2 million people worldwide, resulting in a heavy burden to families and entire communities. Understanding the genetic basis underlying MS could help decipher the pathogenesis and shed light on MS treatment. We refined a recently developed Bayesian framework, Integrative Risk Gene Selector (iRIGS), to prioritize risk genes associated with MS by integrating the summary statistics from the largest GWAS to date (n = 115,803), various genomic features, and gene-gene closeness.

RESULTS: We identified 163 MS-associated prioritized risk genes (MS-PRGenes) through the Bayesian framework. …

Central Nervous System Immune Interactome Is A Function Of Cancer Lineage, Tumor Microenvironment, And Stat3 Expression., Hinda Najem, Martina Ott, Cynthia Kassab, Arvind Rao, Ganesh Rao, Anantha Marisetty, Adam M Sonabend, Craig Horbinski, Roel G W Verhaak, Anand Shankar, Santhoshi N Krishnan, Frederick S Varn, Víctor A Arrieta, Pravesh Gupta, Sherise D Ferguson, Jason T Huse, Gregory N Fuller, James P Long, Daniel E Winkowski, Ben A Freiberg, Charles David James, Leonidas C Platanias, Maciej S Lesniak, Jared K Burks, Amy B Heimberger

Faculty Research 2022

BACKGROUNDImmune cell profiling of primary and metastatic CNS tumors has been focused on the tumor, not the tumor microenvironment (TME), or has been analyzed via biopsies.METHODSEn bloc resections of gliomas (n = 10) and lung metastases (n = 10) were analyzed via tissue segmentation and high-dimension Opal 7-color multiplex imaging. Single-cell RNA analyses were used to infer immune cell functionality.RESULTSWithin gliomas, T cells were localized in the infiltrating edge and perivascular space of tumors, while residing mostly in the stroma of metastatic tumors. CD163+ macrophages were evident throughout the TME of metastatic tumors, whereas in gliomas, CD68+, CD11c+CD68+, and CD11c+CD68+CD163+ …

Central Nervous System Immune Interactome Is A Function Of Cancer Lineage, Tumor Microenvironment, And Stat3 Expression, Hinda Najem, Martina Ott, Cynthia Kassab, Arvind Rao, Ganesh Rao, Anantha Marisetty, Adam M Sonabend, Craig Horbinski, Roel Verhaak, Anand Shankar, Santhoshi N Krishnan, Frederick S Varn, Víctor A Arrieta, Pravesh Gupta, Sherise D Ferguson, Jason T Huse, Gregory N Fuller, James P Long, Daniel E Winkowski, Ben A Freiberg, Charles David James, Leonidas C Platanias, Maciej S Lesniak, Jared K Burks, Amy B Heimberger

Faculty, Staff and Student Publications

BACKGROUND

Immune cell profiling of primary and metastatic CNS tumors has been focused on the tumor, not the tumor microenvironment (TME), or has been analyzed via biopsies.

METHODS

En bloc resections of gliomas (n = 10) and lung metastases (n = 10) were analyzed via tissue segmentation and high-dimension Opal 7-color multiplex imaging. Single-cell RNA analyses were used to infer immune cell functionality.

RESULTS

Within gliomas, T cells were localized in the infiltrating edge and perivascular space of tumors, while residing mostly in the stroma of metastatic tumors. CD163⁺ macrophages were evident throughout the TME of metastatic …

Vikela Ekhaya: A Novel, Community-Based, Tuberculosis Contact Management Program In A High Burden Setting, Alexander W Kay, Micaela Sandoval, Godwin Mtetwa, Musa Mkhabela, Banele Ndlovu, Tara Devezin, Welile Sikhondze, Debrah Vambe, Joyce Sibanda, Gloria S Dube, Robert H Stevens, Bhekumusa Lukhele, Anna M Mandalakas

Faculty, Staff and Student Publications

BACKGROUND: The prevention of tuberculosis (TB) in child contacts of TB cases and people living with human immunodeficiency virus (HIV) is a public health priority, but global access to TB preventive therapy (TPT) remains low. In 2019, we implemented Vikela Ekhaya, a novel community-based TB contact management program in Eswatini designed to reduce barriers to accessing TPT.

METHODS: Vikela Ekhaya offered differentiated TB and HIV testing for household contacts of TB cases by using mobile contact management teams to screen contacts, assess their TPT eligibility, and initiate and monitor TPT adherence in participants' homes.

RESULTS: In total, 945 contacts from …

Multi-Scale Convolutional Neural Network For Automated Amd Classification Using Retinal Oct Images, Saman Sotoudeh-Paima, Ata Jodeiri, Fedra Hajizadeh, Hamid Soltanian-Zadeh

Research Administration Articles

BACKGROUND AND OBJECTIVE: Age-related macular degeneration (AMD) is the most common cause of blindness in developed countries, especially in people over 60 years of age. The workload of specialists and the healthcare system in this field has increased in recent years mainly due to three reasons: 1) increased use of retinal optical coherence tomography (OCT) imaging technique, 2) prevalence of population aging worldwide, and 3) chronic nature of AMD. Recent advancements in the field of deep learning have provided a unique opportunity for the development of fully automated diagnosis frameworks. Considering the presence of AMD-related retinal pathologies in varying sizes …

Changes In Marriage, Divorce And Births During The Covid-19 Pandemic In Japan, Cyrus Ghaznavi, Takayuki Kawashima, Yuta Tanoue, Daisuke Yoneoka, Koji Makiyama, Haruka Sakamoto, Peter Ueda, Akifumi Eguchi, Shuhei Nomura

Open Access Publications

INTRODUCTION: Marriage, divorce and fertility are declining in Japan. There is concern that the COVID-19 pandemic may have accelerated the decrease in marriages and births while increasing the number of divorces. Changes in partnership behaviours and fertility have significant implications for mental health, well-being and population demographics.

METHODS: Japanese vital statistical data were collected for December 2011-May 2021. We used the Farrington algorithm on the daily numbers of marriages, divorces and births (per month) in order to determine whether any given month between January 2017 and May 2021 had a significant excess or deficit. Analyses were conducted at the national …

Plasma Proteome Analyses In Individuals Of European And African Ancestry Identify Cis-Pqtls And Models For Proteome-Wide Association Studies, Jingning Zhang, Diptavo Dutta, Anna Köttgen, Adrienne Tin, Pascal Schlosser, Morgan E Grams, Benjamin Harvey, Ckdgen Consortium, Bing Yu, Eric Boerwinkle, Josef Coresh, Nilanjan Chatterjee

Faculty, Staff and Student Publications

Improved understanding of genetic regulation of the proteome can facilitate identification of the causal mechanisms for complex traits. We analyzed data on 4,657 plasma proteins from 7,213 European American (EA) and 1,871 African American (AA) individuals from the Atherosclerosis Risk in Communities study, and further replicated findings on 467 AA individuals from the African American Study of Kidney Disease and Hypertension study. Here, we identified 2,004 proteins in EA and 1,618 in AA, with most overlapping, which showed associations with common variants in cis-regions. Availability of AA samples led to smaller credible sets and notable number of population-specific cis-protein quantitative …

Publication Trends In Telemedicine Research Originating From Canada, Jim S Xie, Keean Nanji, Mohammad Khan, Muhammad F Khalid, Sunir J Garg, Lehana Thabane, Sobha Sivaprasad, Varun Chaudhary

Department of Medicine Faculty Papers

Telemedicine modalities for patient care have seen significant global uptake during the COVID-19 pandemic. This study aimed to bibliometrically evaluate the evolution and current landscape of telemedicine literature in Canada. The Scopus database was searched to identify telemedicine publications for which the first or last author had a Canadian institutional affiliation. Study selection and data abstraction were conducted by two pairs of independent reviewers. Between 1976 and January 2021, 810 of 3,620 retrieved citations were telemedicine publications originating from Canada, including 29 randomized controlled trials and 6 systematic reviews. The annual publication output increased substantially from 1/year in 1976 to …

Thermodynamically Coupled Biosensors For Detecting Neutralizing Antibodies Against Sars-Cov-2 Variants, Jason Z Zhang, Laura A Vanblargan, Michael S Diamond, Et Al.

2020-Current year OA Pubs

We designed a protein biosensor that uses thermodynamic coupling for sensitive and rapid detection of neutralizing antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants in serum. The biosensor is a switchable, caged luciferase-receptor-binding domain (RBD) construct that detects serum-antibody interference with the binding of virus RBD to angiotensin-converting enzyme 2 (ACE-2) as a proxy for neutralization. Our coupling approach does not require target modification and can better distinguish sample-to-sample differences in analyte binding affinity and abundance than traditional competition-based assays.

Hyperactivation Is Sufficient To Release Porcine Sperm From Immobilized Oviduct Glycans, Momal Sharif, Vincent Hickl, Gabriel Juarez, Xingjian Di, Karl Kerns, Peter Sutovsky, Nicolai Bovin, David J Miller

Faculty, Staff and Students Publications

Fertilizing sperm are retained by adhesion to specific glycans on the epithelium of the oviduct forming a reservoir before sperm are released from the reservoir so fertilization can ensue. Capacitated sperm lose affinity for the oviduct epithelium but the components of capacitation that are important for sperm release are uncertain. One important correlate of capacitation is the development of hyperactivated motility. Hyperactivation is characterized by asymmetrical flagellar beating with high beat amplitude. We tested whether the development of full-type asymmetrical motility was sufficient to release sperm from immobilized oviduct glycans. Sperm hyperactivation was induced by four different compounds, a cell-permeable …

Cngpld: Case-Control Copy-Number Analysis Using Gaussian Process Latent Difference, David J H Shih, Ruoxing Li, Peter Müller, W Jim Zheng, Kim-Anh Do, Shiaw-Yih Lin, Scott L Carter

Faculty, Staff and Student Publications

MOTIVATION: Cross-sectional analyses of primary cancer genomes have identified regions of recurrent somatic copy-number alteration, many of which result from positive selection during cancer formation and contain driver genes. However, no effective approach exists for identifying genomic loci under significantly different degrees of selection in cancers of different subtypes, anatomic sites or disease stages.

RESULTS: CNGPLD is a new tool for performing case-control somatic copy-number analysis that facilitates the discovery of differentially amplified or deleted copy-number aberrations in a case group of cancer compared with a control group of cancer. This tool uses a Gaussian process statistical framework in order …

Privacy-Preserving Logistic Regression With Secret Sharing, Ali Reza Ghavamipour, Fatih Turkmen, Xiaoqian Jiang

Faculty, Staff and Student Publications

BACKGROUND: Logistic regression (LR) is a widely used classification method for modeling binary outcomes in many medical data classification tasks. Researchers that collect and combine datasets from various data custodians and jurisdictions can greatly benefit from the increased statistical power to support their analysis goals. However, combining data from different sources creates serious privacy concerns that need to be addressed.

METHODS: In this paper, we propose two privacy-preserving protocols for performing logistic regression with the Newton-Raphson method in the estimation of parameters. Our proposals are based on secure Multi-Party Computation (MPC) and tailored to the honest majority and dishonest majority …

Femur Morphology In Healthy Infants And Young Children, Nathan P. Brown, Angela Thompson, Karen Bertocci, Natalie L. Adolphi, Lauren Dvorscak, Mary Clyde Pierce, Gina Bertocci

Pathology Research and Scholarship

The objective of this study was to characterize femur morphology in healthy infants and young children. Anterior-posterior (AP) radiographs of the femur from children age 0-3 years with no history of bone disease were obtained from two children's hospitals and one medical examiner's office. Femur morphological measures (bone length, minimum diaphysis diameter, growth plate width, and femur radius of curvature) and sectional structural measures were determined. Measures were described and compared based on subject age and mass. Relationships between measures and age and mass were evaluated. The 169 AP femur radiographs were obtained from 99 children (59.6% males, median age …

Trans Fatty Acid Biomarkers And Incident Type 2 Diabetes: Pooled Analysis Of 12 Prospective Cohort Studies In The Fatty Acids And Outcomes Research Consortium (Force), Heidi T M Lai, Fumiaki Imamura, Andres V Ardisson Korat, Rachel A Murphy, Nathan Tintle, Julie K Bassett, Jiaying Chen, Janine Kröger, Kuo-Liong Chien, Mackenzie Senn, Alexis C Wood, Nita G Forouhi, Matthias B Schulze, William S Harris, Ramachandran S Vasan, Frank Hu, Graham G Giles, Allison Hodge, Luc Djousse, Ingeborg A Brouwer, Frank Qian, Qi Sun, Jason H Y Wu, Matti Marklund, Rozenn N Lemaitre, David S Siscovick, Amanda M Fretts, Aladdin H Shadyab, Joann E Manson, Barbara V Howard, Jennifer G Robinson, Robert B Wallace, Nick J Wareham, Yii-Der Ida Chen, Jerome I Rotter, Michael Y Tsai, Renata Micha, Dariush Mozaffarian, Fatty Acids And Outcomes Research Consortium (Force)

Children’s Nutrition Research Center Staff Publications

Objective: Trans fatty acids (TFAs) have harmful biologic effects that could increase the risk of type 2 diabetes (T2D), but evidence remains uncertain. We aimed to investigate the prospective associations of TFA biomarkers and T2D by conducting an individual participant-level pooled analysis.

Research design and methods: We included data from an international consortium of 12 prospective cohorts and nested case-control studies from six nations. TFA biomarkers were measured in blood collected between 1990 and 2008 from 25,126 participants aged ≥18 years without prevalent diabetes. Each cohort conducted de novo harmonized analyses using a prespecified protocol, and findings were pooled using …

Midsagittal Plane First: Building A Strong Facial Reference Frame For Computer-Aided Surgical Simulation, Maggie K Grissom, Jaime Gateno, Jeryl D English, Helder B Jacob, Tianshu Kuang, Carla E Gonzalez, Peng Yuan, Hannah H Deng, Caleb J Frick, Daeseung Kim, Abdullahi Hassan, James J Xia

Faculty, Staff and Student Publications

Purpose: A facial reference frame is a 3-dimensional Cartesian coordinate system that includes 3 perpendicular planes: midsagittal, axial, and coronal. The order in which one defines the planes matters. The purposes of this study are to determine the following: 1) what sequence (axial-midsagittal-coronal vs midsagittal-axial-coronal) produced more appropriate reference frames and 2) whether orbital or auricular dystopia influenced the outcomes.

Methods: This study is an ambispective cross-sectional study. Fifty-four subjects with facial asymmetry were included. The facial reference frames of each subject (outcome variable) were constructed using 2 methods (independent variable): axial plane first and midsagittal plane first. Two board-certified …

Predictive Radiation Oncology - A New Nci-Doe Scientific Space And Community, Jeffrey C Buchsbaum, David A Jaffray, Demba Ba, Lynn L Borkon, Christine Chalk, Caroline Chung, Matthew A Coleman, C Norman Coleman, Maximilian Diehn, Kelvin K Droegemeier, Heiko Enderling, Michael G Espey, Emily J Greenspan, Christopher M Hartshorn, Thuc Hoang, H Timothy Hsiao, Cynthia Keppel, Nathan W Moore, Fred Prior, Eric A Stahlberg, Georgia Tourassi, Karen E Willcox

Faculty, Staff and Student Publications

With a widely attended virtual kickoff event on January 29, 2021, the National Cancer Institute (NCI) and the Department of Energy (DOE) launched a series of 4 interactive, interdisciplinary workshops-and a final concluding "World Café" on March 29, 2021-focused on advancing computational approaches for predictive oncology in the clinical and research domains of radiation oncology. These events reflect 3,870 human hours of virtual engagement with representation from 8 DOE national laboratories and the Frederick National Laboratory for Cancer Research (FNL), 4 research institutes, 5 cancer centers, 17 medical schools and teaching hospitals, 5 companies, 5 federal agencies, 3 research centers, …

Fusionai, A Dna-Sequence-Based Deep Learning Protocol Reduces The False Positives Of Human Fusion Gene Prediction, Pora Kim, Hua Tan, Jiajia Liu, Himansu Kumar, Xiaobo Zhou

Faculty, Staff and Student Publications

Even though there were many tool developments of fusion gene prediction from NGS data, too many false positives are still an issue. Wise use of the genomic features around the fusion gene breakpoints will be helpful to identify reliable fusion genes efficiently. For this aim, we developed FusionAI, a deep learning pipeline predicting human fusion gene breakpoints from DNA sequence. FusionAI is freely available via https://compbio.uth.edu/FusionGDB2/FusionAI. For complete details on the use and execution of this protocol, please refer to Kim et al. (2021b).

Pufa Ω-3 And Ω-6 Biomarkers And Sleep: A Pooled Analysis Of Cohort Studies On Behalf Of The Fatty Acids And Outcomes Research Consortium (Force), Rachel A Murphy, Nathan Tintle, William S Harris, Maryam Darvishian, Matti Marklund, Jyrki K Virtanen, Sari Hantunen, Vanessa D De Mello, Jaakko Tuomilehto, Jaana Lindström, Matthew A Bolt, Ingeborg A Brouwer, Alexis C Wood, Mackenzie Senn, Susan Redline, Michael Y Tsai, Vilmundur Gudnason, Gudny Eiriksdottir, Eva Lindberg, Aladdin H Shadyab, Buyun Liu, Mercedes Carnethon, Matti Uusitupa, Luc Djousse, Ulf Risérus, Lars Lind, Rob M Van Dam, Woon-Puay Koh, Peilin Shi, David Siscovick, Rozenn N Lemaitre, Dariush Mozaffarian

Children’s Nutrition Research Center Staff Publications

BACKGROUND: n-3 and n-6 PUFAs have physiologic roles in sleep processes, but little is known regarding circulating n-3 and n-6 PUFA and sleep parameters.

OBJECTIVES: We sought to assess associations between biomarkers of n-3 and n-6 PUFA intake with self-reported sleep duration and difficulty falling sleeping in the Fatty Acids and Outcome Research Consortium.

METHODS: Harmonized, de novo, individual-level analyses were performed and pooled across 12 cohorts. Participants were 35-96 y old and from 5 nations. Circulating measures included α-linolenic acid (ALA), EPA, docosapentaenoic acid (DPA), DHA, EPA + DPA + DHA, linoleic acid, and arachidonic acid. Sleep duration (10 …

Use Of The Deep Learning Approach To Measure Alveolar Bone Level, Chun-Teh Lee, Tanjida Kabir, Jiman Nelson, Sally Sheng, Hsiu-Wan Meng, Thomas E Van Dyke, Muhammad F Walji, Xiaoqian Jiang, Shayan Shams

Faculty, Staff and Student Publications

AIM: The goal was to use a deep convolutional neural network to measure the radiographic alveolar bone level to aid periodontal diagnosis.

MATERIALS AND METHODS: A deep learning (DL) model was developed by integrating three segmentation networks (bone area, tooth, cemento-enamel junction) and image analysis to measure the radiographic bone level and assign radiographic bone loss (RBL) stages. The percentage of RBL was calculated to determine the stage of RBL for each tooth. A provisional periodontal diagnosis was assigned using the 2018 periodontitis classification. RBL percentage, staging, and presumptive diagnosis were compared with the measurements and diagnoses made by the …

Community-Clinic Linkages For Promoting Hiv Prevention: Organizational Networks For Prep Client Referrals And Collaborations, Rebecca L Mauldin, Tamara Al Rawwad, Muhammad Amith, Lisa M Kuhns, John A Schneider, Kayo Fujimoto

Faculty, Staff and Student Publications

Community-clinic linkages may help communities increase HIV pre-exposure prophylaxis (PrEP) uptake. Referrals from community-based organizations may be particularly important for linking Black men who have sex with men (MSM) to PrEP. This study describes PrEP referral and HIV/STI prevention networks among organizations that serve MSM in Houston, TX (N = 40), and Chicago, IL (N = 28), and compares network positions of organizations based on percentage of Black/African American clients. A majority of organizations conducted PrEP awareness/promotion activities, but fewer made PrEP referrals, with little overlap between the collaboration and referral networks. The networks tended to have a …

Translational Randomized Phase Ii Trial Of Cabozantinib In Combination With Nivolumab In Advanced, Recurrent, Or Metastatic Endometrial Cancer, Stephanie Lheureux, Carolyn Mccourt, Et Al

Open Access Publications

BACKGROUND: Combining immunotherapy and antiangiogenic agents is a promising treatment strategy in endometrial cancer. To date, no biomarkers for response have been identified and data on post-immunotherapy progression are lacking. We explored the combination of a checkpoint inhibitor (nivolumab) and an antiangiogenic agent (cabozantinib) in immunotherapy-naïve endometrial cancer and in patients whose disease progressed on previous immunotherapy with baseline biopsy for immune profiling.

PATIENTS AND METHODS: In this phase II trial (ClinicalTrials.gov NCT03367741, registered December 11, 2017), women with recurrent endometrial cancer were randomized 2:1 to nivolumab with cabozantinib (Arm A) or nivolumab alone (Arm B). The primary endpoint was …

Interleukin-6 Blockade Abrogates Immunotherapy Toxicity And Promotes Tumor Immunity, Ahmed Omar Kaseb, Elshad Hasanov, Hop Sanderson Tran Cao, Lianchun Xiao, Jean-Nicolas Vauthey, Sunyoung S Lee, Betul Gok Yavuz, Yehia I Mohamed, Aliya Qayyum, Sonali Jindal, Fei Duan, Sreyashi Basu, Shalini S Yadav, Courtney Nicholas, Jing Jing Sun, Kanwal Pratap Singh Raghav, Asif Rashid, Kristen Carter, Yun Shin Chun, Ching-Wei David Tzeng, Divya Sakamuri, Li Xu, Ryan Sun, Vittorio Cristini, Laura Beretta, James C Yao, Robert A Wolff, James Patrick Allison, Padmanee Sharma

Faculty, Staff and Student Publications

BACKGROUND: Hepatocellular carcinoma has high recurrence rates after surgery; however, there are no approved standard-of-care neoadjuvant or adjuvant therapies. Immunotherapy has been shown to improve survival in advanced hepatocellular carcinoma; we therefore aimed to evaluate the safety and tolerability of perioperative immunotherapy in resectable hepatocellular carcinoma.

METHODS: In this single-centre, randomised, open-label, phase 2 trial, patients with resectable hepatocellular carcinoma were randomly assigned (1:1) to receive 240 mg of nivolumab intravenously every 2 weeks (for up to three doses before surgery at 6 weeks) followed in the adjuvant phase by 480 mg of nivolumab intravenously every 4 weeks for 2 …

Perioperative Nivolumab Monotherapy Versus Nivolumab Plus Ipilimumab In Resectable Hepatocellular Carcinoma: A Randomised, Open-Label, Phase 2 Trial, Ahmed Omar Kaseb, Elshad Hasanov, Hop Sanderson Tran Cao, Lianchun Xiao, Jean-Nicolas Vauthey, Sunyoung S Lee, Betul Gok Yavuz, Yehia I Mohamed, Aliya Qayyum, Sonali Jindal, Fei Duan, Sreyashi Basu, Shalini S Yadav, Courtney Nicholas, Jing Jing Sun, Kanwal Pratap Singh Raghav, Asif Rashid, Kristen Carter, Yun Shin Chun, Ching-Wei David Tzeng, Divya Sakamuri, Li Xu, Ryan Sun, Vittorio Cristini, Laura Beretta, James C Yao, Robert A Wolff, James Patrick Allison, Padmanee Sharma

Faculty, Staff and Student Publications

BACKGROUND: Hepatocellular carcinoma has high recurrence rates after surgery; however, there are no approved standard-of-care neoadjuvant or adjuvant therapies. Immunotherapy has been shown to improve survival in advanced hepatocellular carcinoma; we therefore aimed to evaluate the safety and tolerability of perioperative immunotherapy in resectable hepatocellular carcinoma.

METHODS: In this single-centre, randomised, open-label, phase 2 trial, patients with resectable hepatocellular carcinoma were randomly assigned (1:1) to receive 240 mg of nivolumab intravenously every 2 weeks (for up to three doses before surgery at 6 weeks) followed in the adjuvant phase by 480 mg of nivolumab intravenously every 4 weeks for 2 …

Wavelet Analysis Reveals Differential Lower Limb Muscle Activity Patterns Long After Anterior Cruciate Ligament Reconstruction, Payam Zandiyeh, Lauren R Parola, Braden C Fleming, Jillian E Beveridge

Faculty, Staff and Student Publications

The purpose of this study was to test whether differences in muscle activity patterns between anterior cruciate ligament-reconstructed patients (ACLR) and healthy controls could be detected 10 to 15 years post-surgery using a machine learning classification approach. Eleven ACLR subjects and 12 healthy controls were recruited from an ongoing prospective randomized clinical trial. Surface electromyography (EMG) signals were recorded from gastrocnemius medialis and lateralis, tibialis anterior, vastus medialis, rectus femoris, biceps femoris, and semitendinosus muscles. Muscle activity was analyzed using wavelet analysis and examined within four sub-phases of the hop test, as well as an average of the task as …

Brain Stereotactic Radiosurgery Using Mr-Guided Online Adaptive Planning For Daily Setup Variation: An End-To-End Test, Eun Young Han, He Wang, Tina Marie Briere, Debra Nana Yeboa, Themistoklis Boursianis, Georgios Kalaitzakis, Evangelos Pappas, Pamela Castillo, Jinzhong Yang

Faculty, Staff and Student Publications

Online magnetic resonance (MR)-guided radiotherapy is expected to benefit brain stereotactic radiosurgery (SRS) due to superior soft tissue contrast and capability of daily adaptive planning. The purpose of this study was to investigate daily adaptive plan quality with setup variations and to perform an end-to-end test for brain SRS with multiple metastases treated with a 1.5-Tesla MR-Linac (MRL). The RTsafe PseudoPatient Prime brain phantom was used with a delineation insert that includes two predefined structures mimicking gadolinium contrast-enhanced brain lesions. Daily adaptive plans were generated using six preset and six random setup variations. Two adaptive plans per daily MR image …