Digital Commons Network^™

A Transformer-Based Hierarchical Registration Framework For Multimodality Deformable Image Registration, Yao Zhao, Xinru Chen, Brigid Mcdonald, Cenji Yu, Abdalah S R Mohamed, Clifton D Fuller, Laurence E Court, Tinsu Pan, He Wang, Xin Wang, Jack Phan, Jinzhong Yang

Faculty, Staff and Student Publications

Deformable image registration (DIR) between daily and reference images is fundamentally important for adaptive radiotherapy. In the last decade, deep learning-based image registration methods have been developed with faster computation time and improved robustness compared to traditional methods. However, the registration performance is often degraded in extra-cranial sites with large volume containing multiple anatomic regions, such as Computed Tomography (CT)/Magnetic Resonance (MR) images used in head and neck (HN) radiotherapy. In this study, we developed a hierarchical deformable image registration (DIR) framework, Patch-based Registration Network (Patch-RegNet), to improve the accuracy and speed of CT-MR and MR-MR registration for head-and-neck MR-Linac …

Bayesian Hierarchical Quantile Regression With Application To Characterizing The Immune Architecture Of Lung Cancer, Priyam Das, Christine B Peterson, Yang Ni, Alexandre Reuben, Jiexin Zhang, Jianjun Zhang, Kim-Anh Do, Veerabhadran Baladandayuthapani

Faculty, Staff and Student Publications

The successful development and implementation of precision immuno-oncology therapies requires a deeper understanding of the immune architecture at a patient level. T-cell receptor (TCR) repertoire sequencing is a relatively new technology that enables monitoring of T-cells, a subset of immune cells that play a central role in modulating immune response. These immunologic relationships are complex and are governed by various distributional aspects of an individual patient's tumor profile. We propose Bayesian QUANTIle regression for hierarchical COvariates (QUANTICO) that allows simultaneous modeling of hierarchical relationships between multilevel covariates, conducts explicit variable selection, estimates quantile and patient-specific coefficient effects, to induce individualized …

Impact Of Serial Intralesional Steroid Injections On Idiopathic Subglottic Stenosis, Matthew R Hoffman, Ankita Patro, Li-Ching Huang, Sheau-Chiann Chen, Lynn D Berry, Alexander Gelbard, David O Francis

Faculty, Staff and Student Publications

OBJECTIVES: Serial intralesional steroid injection (SILSI) has been increasingly used to treat idiopathic subglottic stenosis (iSGS). Prior studies have shown effectiveness, but not in all patients. This multi-institutional study evaluates the effect of SILSI on time to recurrent operation, peak expiratory flow (PEF), and dyspnea.

METHODS: Post-hoc secondary analysis of the North American Airway Collaborative data were performed to evaluate the outcomes of iSGS patients undergoing and not undergoing SILSI. The primary outcome was time to recurrent operation, evaluated using Kaplan-Meier curves and Cox regression analysis. Secondary outcomes were change in PEF and clinical chronic obstructive pulmonary disease questionnaire (CCQ) …

Gut Oncomicrobiome Signatures (Goms) As Next-Generation Biomarkers For Cancer Immunotherapy, Andrew Maltez Thomas, Marine Fidelle, Bertrand Routy, Guido Kroemer, Jennifer A Wargo, Nicola Segata, Laurence Zitvogel

Faculty, Staff and Student Publications

Oncogenesis is associated with intestinal dysbiosis, and stool shotgun metagenomic sequencing in individuals with this condition might constitute a non-invasive approach for the early diagnosis of several cancer types. The prognostic relevance of antibiotic intake and gut microbiota composition urged investigators to develop tools for the detection of intestinal dysbiosis to enable patient stratification and microbiota-centred clinical interventions. Moreover, since the advent of immune-checkpoint inhibitors (ICIs) in oncology, the identification of biomarkers for predicting their efficacy before starting treatment has been an unmet medical need. Many previous studies addressing this question, including a meta-analysis described herein, have led to the …

Efficacy Of Immune Checkpoint Inhibitors For The Treatment Of Advanced Melanoma In Patients With Concomitant Chronic Lymphocytic Leukemia, S H Cass, J W D Tobin, Y D Seo, G Gener-Ricos, E Z Keung, E M Burton, M A Davies, J L Mcquade, A J Lazar, R Mason, M Millward, S Sandhu, C Khoo, L Warburton, V Guerra, A Haydon, H Dearden, A M Menzies, M S Carlino, J L Smith, P Mollee, M Burgess, S Mapp, C Keane, V Atkinson, S A Parikh, S N Markovic, W Ding, T G Call, P J Hampel, G V Long, J A Wargo, A Ferrajoli

Faculty, Staff and Student Publications

BACKGROUND: Immune checkpoint inhibitors (ICIs) have revolutionized the management of advanced melanoma (AM). However, data on ICI effectiveness have largely been restricted to clinical trials, thereby excluding patients with co-existing malignancies. Chronic lymphocytic leukemia (CLL) is the most prevalent adult leukemia and is associated with increased risk of melanoma. CLL alters systemic immunity and can induce T-cell exhaustion, which may limit the efficacy of ICIs in patients with CLL. We, therefore, sought to examine the efficacy of ICI in patients with these co-occurring diagnoses.

PATIENTS AND METHODS: In this international multicenter study, a retrospective review of clinical databases identified patients …

Efficient Targeted Learning Of Heterogeneous Treatment Effects For Multiple Subgroups, Waverly Wei, Maya Petersen, Mark J Van Der Laan, Zeyu Zheng, Chong Wu, Jingshen Wang

Faculty, Staff and Student Publications

In biomedical science, analyzing treatment effect heterogeneity plays an essential role in assisting personalized medicine. The main goals of analyzing treatment effect heterogeneity include estimating treatment effects in clinically relevant subgroups and predicting whether a patient subpopulation might benefit from a particular treatment. Conventional approaches often evaluate the subgroup treatment effects via parametric modeling and can thus be susceptible to model mis-specifications. In this paper, we take a model-free semiparametric perspective and aim to efficiently evaluate the heterogeneous treatment effects of multiple subgroups simultaneously under the one-step targeted maximum-likelihood estimation (TMLE) framework. When the number of subgroups is large, we …

Low Pitch Significantly Reduces Helical Artifacts In Abdominal Ct, Moiz Ahmad, Peng Sun, Christine B Peterson, Marcus R Anderson, Xinming Liu, Ajaykumar C Morani, Corey T Jensen

Faculty, Staff and Student Publications

Purpose: High helical pitch scanning minimizes scan times in CT imaging, and thus also minimizes motion artifact and mis-synchronization with contrast bolus. However, high pitch produces helical artifacts that may adversely affect diagnostic image quality. This study aims to determine the severity and incidence of helical artifacts in abdominal CT imaging and their relation to the helical pitch scan parameter.

Methods: To obtain a dataset with varying pitch values, we used CT exam data both internal and external to our center. A cohort of 59 consecutive adult patients receiving an abdomen CT examination at our center with an accompanying prior …

Bidirectional Association Between Parkinson’S Disease And Obstructive Sleep Apnea: A Cohort Study, Seung-Ho Jeon, Yun Su Hwang, Sun-Young Oh, Byoung-Soo Shin, Min Gu Kang, Min Gyu Lee, Sang Woo Yeom, Jong Hwan Lee, Hyun Goo Kang, Jong Seung Kim

Faculty, Staff and Student Publications

STUDY OBJECTIVES: Chronic intermittent hypoxia due to obstructive sleep apnea (OSA) causes oxidative stress, which may contribute to the pathophysiology of Parkinson's disease (PD). However, the bidirectional relationship between PD and OSA has not been satisfactorily established. The objective of this study was to try to estimate whether there is a bidirectional relationship between PD and OSA through a retrospective cohort study in the South Korean population.

METHODS: This study used data from the Korean National Health Information Database of the National Health Insurance Service, which contains data from 3.5 million individuals evenly distributed. In study 1, patients with OSA …

Stromal-Derived Nrg1 Enables Oncogenic Kras Bypass In Pancreas Cancer, Jincheng Han, Jiaqian Xu, Yonghong Liu, Shaoheng Liang, Kyle A Labella, Deepavali Chakravarti, Denise J Spring, Yan Xia, Ronald A Depinho

Faculty, Staff and Student Publications

Activating KRAS mutations (KRAS*) in pancreatic ductal adenocarcinoma (PDAC) drive anabolic metabolism and support tumor maintenance. KRAS* inhibitors show initial antitumor activity followed by recurrence due to cancer cell-intrinsic and immune-mediated paracrine mechanisms. Here, we explored the potential role of cancer-associated fibroblasts (CAFs) in enabling KRAS* bypass and identified CAF-derived NRG1 activation of cancer cell ERBB2 and ERBB3 receptor tyrosine kinases as a mechanism by which KRAS*-independent growth is supported. Genetic extinction or pharmacological inhibition of KRAS* resulted in up-regulation of ERBB2 and ERBB3 expression in human and murine models, which prompted cancer cell utilization of CAF-derived NRG1 as a …

Making Waves: Integrating Wastewater Surveillance With Dynamic Modeling To Track And Predict Viral Outbreaks, Tin Phan, Samantha Brozak, Bruce Pell, Jeremiah Oghuan, Anna Gitter, Tao Hu, Ruy M Ribeiro, Ruian Ke, Kristina D Mena, Alan S Perelson, Yang Kuang, Fuqing Wu

Faculty, Staff and Student Publications

Wastewater surveillance has proved to be a valuable tool to track the COVID-19 pandemic. However, most studies using wastewater surveillance data revolve around establishing correlations and lead time relative to reported case data. In this perspective, we advocate for the integration of wastewater surveillance data with dynamic within-host and between-host models to better understand, monitor, and predict viral disease outbreaks. Dynamic models overcome emblematic difficulties of using wastewater surveillance data such as establishing the temporal viral shedding profile. Complementarily, wastewater surveillance data bypasses the issues of time lag and underreporting in clinical case report data, thus enhancing the utility and …

Use Of Compartmental Modeling And Retinol Isotope Dilution To Determine Vitamin A Stores In Young People With Sickle Cell Disease Before And After Vitamin A Supplementation, Jennifer Lynn Ford, Michael H Green, Jefferson N Brownell, Joanne Balmer Green, Anthony Oxley, Georg Lietz, Joan I Schall, Virginia A Stallings

Faculty, Staff and Student Publications

BACKGROUND: Suboptimal plasma retinol concentrations have been documented in US children with sickle cell disease (SCD) hemoglobin SS type (SCD-HbSS), but little is known about vitamin A kinetics and stores in SCD.

OBJECTIVES: The objectives were to quantify vitamin A total body stores (TBS) and whole-body retinol kinetics in young people with SCD-HbSS and use retinol isotope dilution (RID) to predict TBS in SCD-HbSS and healthy peers as well as after vitamin A supplementation in SCD-HbSS subjects.

METHODS: Composite plasma [

RESULTS: Model-predicted group mean TBS for subjects with SCD-HbSS was 428 μmol, equivalent to ∼11 mo of stored vitamin …

Evaluating The Knowledge, Attitudes, And Practices Of Healthcare Workers Regarding High-Risk Nosocomial Infections: A Global Cross-Sectional Study, Elham M Khatrawi, Priyadarshi Prajjwal, Muhammad Farhan, Pugazhendi Inban, Shraddha Gurha, Saud M S Al-Ezzi, Mohammed D M Marsool, Prerna Ahuja, Mohammed A Mateen, Felix O Aina, Omniat A Hussin

Faculty, Staff and Student Publications

BACKGROUND: Healthcare workers (HCWs) play a vital role in delivering care and are frequently exposed to the risk of acquiring infections within the hospital setting. Around 15% of hospitalized patients suffer from these infections globally. However, the role and awareness of HCWs in the transmission of hospital-acquired infections (HAIs) or nosocomial infections is still unclear. This study aimed to evaluate the knowledge, attitude, and practices (KAP) toward high-risk microbial infections among HCWs on a global scale to identify measures to address this problem.

METHOD: A cross-sectional descriptive study was conducted between 2022 and 2023, with HCWs selected as the study …

Incidence Of Major Bleeding In Patients With Chronic Lymphocytic Leukemia Receiving Ibrutinib And Therapeutic Anticoagulation, Laura M Roccograndi, Alexandra R Lovell, Alessandra Ferrajoli, Philip A Thompson, Jan A Burger, William G Wierda, Nitin Jain, Caitlin R Rausch

Faculty, Staff and Student Publications

Increased rates of clinically significant bleeding have been reported with ibrutinib, however, limited data is available on the risk when given with concomitant therapeutic anticoagulation. We analyzed the incidence of major bleeding in 64 patient exposures that received ibrutinib with concomitant therapeutic anticoagulation. Major bleeding was observed in 5/64 (8%) patient exposures. The highest incidence was observed with rivaroxaban (3/17, 18%), followed by apixaban (2/35, 6%). No major bleeding events were seen with enoxaparin (n = 10). A total of 38% of patient exposures received a concomitant antiplatelet agent along with therapeutic anticoagulation. Among these patients, one (4%) experienced …

Phase 2 Trial Of Stereotactic Ablative Radiotherapy For Patients With Primary Renal Cancer, Raquibul Hannan, Mark F Mclaughlin, Laurentiu M Pop, Ivan Pedrosa, Payal Kapur, Aurelie Garant, Chul Ahn, Alana Christie, James Zhu, Tao Wang, Liliana Robles, Deniz Durakoglugil, Solomon Woldu, Vitaly Margulis, Jeffrey Gahan, James Brugarolas, Robert Timmerman, Jeffrey Cadeddu

Faculty, Staff and Student Publications

Background: Most renal cell carcinomas (RCCs) are localized and managed by active surveillance, surgery, or minimally invasive techniques. Stereotactic ablative radiation (SAbR) may provide an innovative non-invasive alternative although prospective data are limited.

Objective: To investigate whether SAbR is effective in the management of primary RCCs.

Design, setting, and participants: Patients with biopsy-confirmed radiographically enlarging primary RCC (≤5 cm) were enrolled. SAbR was delivered in either three (12 Gy) or five (8 Gy) fractions.

Outcome measurements and statistical analysis: The primary endpoint was local control (LC) defined as a reduction in tumor growth rate (compared with a benchmark of 4 …

A Pilot Study Of Inflatable Penile Prosthesis Placement In Transgender Neophallus Using Tutoplast® Pericardium Graft Sock Technique, Justin P Mehr, Kareim Khalaf Alla, Kyle A Blum, Travis P Green, Kailash Panchapakesan, Daniel Freet, Run Wang

Faculty, Staff and Student Publications

Placement of an inflatable penile prosthesis (IPP) in a transgender patient’s neophallus carries unique considerations versus cis-gender IPP placement in mitigating infection, erosion, and overall complication rates. An example of this includes the lack of an anatomical corpus cavernosum and crura for cylinder placement and anchoring. Multiple grafting approaches and materials have been utilized to mitigate possible cylinder instability and improve anchoring. Here we describe our experience and surgical technique in IPP neophallus placement utilizing a single cylinder with distal and proximal cylinder human cadaver pericardium (Tutoplast®, IOP Ophthalmics, Costa Mesa, CA, USA) grafts. Our goals were to determine postoperative …

Identification Of Distinct Impacts Of Covs Inactivation On The Transcriptome Of Acapsular Group A Streptococci, Sruti Debroy, William C Shropshire, Luis Vega, Chau Tran, Nicola Horstmann, Piyali Mukherjee, Selvalakshmi Selvaraj-Anand, Truc T Tran, Jordan Bremer, Marc Gohel, Cesar A Arias, Anthony R Flores, Samuel A Shelburne

Faculty, Staff and Student Publications

Group A streptococcal (GAS) strains causing severe, invasive infections often have mutations in the control of virulence two-component regulatory system (CovRS) which represses capsule production, and high-level capsule production is considered critical to the GAS hypervirulent phenotype. Additionally, based on studies in emm1 GAS, hyperencapsulation is thought to limit transmission of CovRS-mutated strains by reducing GAS adherence to mucosal surfaces. It has recently been identified that about 30% of invasive GAS strains lacks capsule, but there are limited data regarding the impact of CovS inactivation in such acapsular strains. Using publicly available complete genomes (n = 2,455) of invasive …

Pan-Cancer Analysis Of Post-Translational Modifications Reveals Shared Patterns Of Protein Regulation, Yifat Geffen, Shankara Anand, Yo Akiyama, Tomer M Yaron, Yizhe Song, Jared L Johnson, Akshay Govindan, Özgün Babur, Yize Li, Emily Huntsman, Liang-Bo Wang, Chet Birger, David I Heiman, Qing Zhang, Mendy Miller, Yosef E Maruvka, Nicholas J Haradhvala, Anna Calinawan, Saveliy Belkin, Alexander Kerelsky, Karl R Clauser, Karsten Krug, Shankha Satpathy, Samuel H Payne, D R Mani, Michael A Gillette, Saravana M Dhanasekaran, Mathangi Thiagarajan, Mehdi Mesri, Henry Rodriguez, Ana I Robles, Steven A Carr, Alexander J Lazar, François Aguet, Lewis C Cantley, Li Ding, Gad Getz, Clinical Proteomic Tumor Analysis Consortium

Faculty, Staff and Student Publications

Post-translational modifications (PTMs) play key roles in regulating cell signaling and physiology in both normal and cancer cells. Advances in mass spectrometry enable high-throughput, accurate, and sensitive measurement of PTM levels to better understand their role, prevalence, and crosstalk. Here, we analyze the largest collection of proteogenomics data from 1,110 patients with PTM profiles across 11 cancer types (10 from the National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium [CPTAC]). Our study reveals pan-cancer patterns of changes in protein acetylation and phosphorylation involved in hallmark cancer processes. These patterns revealed subsets of tumors, from different cancer types, including those with …

Crabr-Net: A Contextual Relational Attention-Based Recognition Network For Remote Sensing Scene Objective, Ningbo Guo, Mingyong Jiang, Lijing Gao, Yizhuo Tang, Jinwei Han, Xiangning Chen

Faculty, Staff and Student Publications

Remote sensing scene objective recognition (RSSOR) plays a serious application value in both military and civilian fields. Convolutional neural networks (CNNs) have greatly enhanced the improvement of intelligent objective recognition technology for remote sensing scenes, but most of the methods using CNN for high-resolution RSSOR either use only the feature map of the last layer or directly fuse the feature maps from various layers in the "summation" way, which not only ignores the favorable relationship information between adjacent layers but also leads to redundancy and loss of feature map, which hinders the improvement of recognition accuracy. In this study, a …

Daily Early-Life Exposures To Diet Soda And Aspartame Are Associated With Autism In Males: A Case-Control Study, Sharon Parten Fowler, David Gimeno Ruiz De Porras, Michael D Swartz, Paula Stigler Granados, Lynne Parsons Heilbrun, Raymond F Palmer

Faculty, Staff and Student Publications

Since its introduction, aspartame-the leading sweetener in U.S. diet sodas (DS)-has been reported to cause neurological problems in some users. In prospective studies, the offspring of mothers who consumed diet sodas/beverages (DSB) daily during pregnancy experienced increased health problems. We hypothesized that gestational/early-life exposure to ≥1 DS/day (DSearly) or equivalent aspartame (ASPearly: ≥177 mg/day) increases autism risk. The case-control Autism Tooth Fairy Study obtained retrospective dietary recalls for DSB and aspartame consumption during pregnancy/breastfeeding from the mothers of 235 offspring with autism spectrum disorder (ASD: cases) and 121 neurotypically developing offspring (controls). The exposure odds ratios (ORs) for DSearly and …

Mapping The Evolution Of T Cell States During Response And Resistance To Adoptive Cellular Therapy, Pavan Bachireddy, Elham Azizi, Cassandra Burdziak, Vinhkhang N Nguyen, Christina S Ennis, Katie Maurer, Cameron Y Park, Zi-Ning Choo, Shuqiang Li, Satyen H Gohil, Neil G Ruthen, Zhongqi Ge, Derin B Keskin, Nicoletta Cieri, Kenneth J Livak, Haesook T Kim, Donna S Neuberg, Robert J Soiffer, Jerome Ritz, Edwin P Alyea, Dana Pe'er, Catherine J Wu

Faculty, Staff and Student Publications

No abstract provided.

Hypothyroidism Following Radiotherapy For Head And Neck Cancer: A Systematic Review Of The Literature And Opportunities To Improve The Therapeutic Ratio, Michael K Rooney, Lauren M Andring, Kelsey L Corrigan, Vincent Bernard, Tyler D Williamson, Clifton D Fuller, Adam S Garden, Brandon Gunn, Anna Lee, Amy C Moreno, William H Morrison, Jack Phan, David I Rosenthal, Michael Spiotto, Steven J Frank

Faculty, Staff and Student Publications

(1) Background: Radiotherapy (RT) is a central component for the treatment of many head and neck cancers. In this systematic review of the literature, we aimed to characterize and quantify the published evidence on RT-related hypothyroidism, including estimated incidence, clinical risk factors, and dosimetric parameters that may be used to guide clinical decision making. Furthermore, we aimed to identify potential areas of improvement in the prevention and clinical management of RT-induced hypothyroidism, including the role of modern advanced therapeutic techniques. (2) Methods: We conducted a systemic review of the literature in accordance with Preferred Reporting Items for Systematic Reviews and …

Hypothyroidism Following Radiotherapy For Head And Neck Cancer: A Systematic Review Of The Literature And Opportunities To Improve The Therapeutic Ratio, Michael K Rooney, Lauren M Andring, Kelsey L Corrigan, Vincent Bernard, Tyler D Williamson, Clifton D Fuller, Adam S Garden, Brandon Gunn, Anna Lee, Amy C Moreno, William H Morrison, Jack Phan, David I Rosenthal, Michael Spiotto, Steven J Frank

Faculty, Staff and Student Publications

(1) Background: Radiotherapy (RT) is a central component for the treatment of many head and neck cancers. In this systematic review of the literature, we aimed to characterize and quantify the published evidence on RT-related hypothyroidism, including estimated incidence, clinical risk factors, and dosimetric parameters that may be used to guide clinical decision making. Furthermore, we aimed to identify potential areas of improvement in the prevention and clinical management of RT-induced hypothyroidism, including the role of modern advanced therapeutic techniques. (2) Methods: We conducted a systemic review of the literature in accordance with Preferred Reporting Items for Systematic Reviews and …

An Evolutionarily Nascent Architecture Underlying The Formation And Emergence Of Biomolecular Condensates, Nima Jaberi-Lashkari, Byron Lee, Fardin Aryan, Eliezer Calo

Faculty, Staff and Student Publications

Biomolecular condensates are implicated in core cellular processes such as gene regulation and ribosome biogenesis. Although the architecture of biomolecular condensates is thought to rely on collective interactions between many components, it is unclear how the collective interactions required for their formation emerge during evolution. Here, we show that the structure and evolution of a recently emerged biomolecular condensate, the nucleolar fibrillar center (FC), is explained by a single self-assembling scaffold, TCOF1. TCOF1 is necessary to form the FC, and it structurally defines the FC through self-assembly mediated by homotypic interactions of serine/glutamate-rich low-complexity regions (LCRs). Finally, introduction of TCOF1 …

Are We Focused On The Wrong Early Postoperative Quality Metrics? Optimal Realignment Outweighs Perioperative Risk In Adult Spinal Deformity Surgery, Peter G Passias, Tyler K Williamson, Jamshaid M Mir, Justin S Smith, Virginie Lafage, Renaud Lafage, Breton Line, Alan H Daniels, Jeffrey L Gum, Andrew J Schoenfeld, David Kojo Hamilton, Alex Soroceanu, Justin K Scheer, Robert Eastlack, Gregory M Mundis, Bassel Diebo, Khaled M Kebaish, Richard A Hostin, Munish C Gupta, Han Jo Kim, Eric O Klineberg, Christopher P Ames, Robert A Hart, Douglas C Burton, Frank J Schwab, Christopher I Shaffrey, Shay Bess, International Spine Study Group

Faculty, Staff and Student Publications

BACKGROUND: While reimbursement is centered on 90-day outcomes, many patients may still achieve optimal, long-term outcomes following adult spinal deformity (ASD) surgery despite transient short-term complications.

OBJECTIVE: Compare long-term clinical success and cost-utility between patients achieving optimal realignment and suboptimally aligned peers.

STUDY DESIGN/SETTING: Retrospective cohort study of a prospectively collected multicenter database.

METHODS: ASD patients with two-year (2Y) data included. Groups were propensity score matched (PSM) for age, frailty, body mass index (BMI), Charlson Comorbidity Index (CCI), and baseline deformity. Optimal radiographic criteria are defined as meeting low deformity in all three (Scoliosis Research Society) SRS-Schwab parameters or being …

The Histone Chaperone Function Of Daxx Is Dispensable For Embryonic Development, Chang Sun, Yuan Qi, Natalie Fowlkes, Nina Lazic, Xiaoping Su, Guillermina Lozano, Amanda R Wasylishen

Faculty, Staff and Student Publications

Daxx functions as a histone chaperone for the histone H3 variant, H3.3, and is essential for embryonic development. Daxx interacts with Atrx to form a protein complex that deposits H3.3 into heterochromatic regions of the genome, including centromeres, telomeres, and repeat loci. To advance our understanding of histone chaperone activity in vivo, we developed two Daxx mutant alleles in the mouse germline, which abolish the interactions between Daxx and Atrx (DaxxY130A), and Daxx and H3.3 (DaxxS226A). We found that the interaction between Daxx and Atrx is dispensable for viability; mice are born at the …

Novel Diagnostic And Therapeutic Approaches To Temporomandibular Dysfunction: A Narrative Review, Brendan Moxley, William Stevens, Joel Sneed, Craig Pearl

Faculty, Staff and Student Publications

Temporomandibular dysfunction (TMD) is a burgeoning area of study within the dental field. TMD is caused by abnormalities in the temporomandibular joint or muscles of mastication and can lead to pain, loss of function, and other complications. As this area of patient care receives increased focus, the ability to accurately diagnose TMD becomes paramount. The aim of this review is to summarize novel diagnostic and therapeutic techniques that have been proposed within the last approximately 3 years in order to inform readers of the cutting-edge advances in the field of TMD diagnosis and management, while also analyzing the clinical relevance …

Identifying The Serious Clinical Outcomes Of Adverse Reactions To Drugs By A Multi-Task Deep Learning Framework, Haochen Zhao, Peng Ni, Qichang Zhao, Xiao Liang, Di Ai, Shannon Erhardt, Jun Wang, Yaohang Li, Jianxin Wang

Faculty, Staff and Student Publications

Adverse Drug Reactions (ADRs) have a direct impact on human health. As continuous pharmacovigilance and drug monitoring prove to be costly and time-consuming, computational methods have emerged as promising alternatives. However, most existing computational methods primarily focus on predicting whether or not the drug is associated with an adverse reaction and do not consider the core issue of drug benefit-risk assessment-whether the treatment outcome is serious when adverse drug reactions occur. To this end, we categorize serious clinical outcomes caused by adverse reactions to drugs into seven distinct classes and present a deep learning framework, so-called GCAP, for predicting the …

Immunotherapy Targeting Different Immune Compartments In Combination With Radiation Therapy Induces Regression Of Resistant Tumors, Nils-Petter Rudqvist, Maud Charpentier, Claire Lhuillier, Erik Wennerberg, Sheila Spada, Caroline Sheridan, Xi Kathy Zhou, Tuo Zhang, Silvia C Formenti, Jennifer S Sims, Alicia Alonso, Sandra Demaria

Faculty, Staff and Student Publications

Radiation therapy (RT) increases tumor response to CTLA-4 inhibition (CTLA4i) in mice and in some patients, yet deep responses are rare. To identify rational combinations of immunotherapy to improve responses we use models of triple negative breast cancer highly resistant to immunotherapy in female mice. We find that CTLA4i promotes the expansion of CD4+ T helper cells, whereas RT enhances T cell clonality and enriches for CD8+ T cells with an exhausted phenotype. Combination therapy decreases regulatory CD4+ T cells and increases effector memory, early activation and precursor exhausted CD8+ T cells. A combined gene signature comprising these three CD8+ …

Temporal Dynamics Of Genetically Heterogeneous Extended-Spectrum Cephalosporin-Resistant Escherichia Coli Bloodstream Infections, William C Shropshire, Benjamin Strope, Selvalakshmi Selvaraj Anand, Jordan Bremer, Patrick Mcdaneld, Micah M Bhatti, Anthony R Flores, Awdhesh Kalia, Samuel A Shelburne

Faculty, Staff and Student Publications

Extended-spectrum cephalosporin-resistant Escherichia coli (ESC-R-Ec) is an urgent public health threat with sequence type clonal complex 131 (STc131), phylogroup B2 strains being particularly concerning as the dominant cause of ESC-R-Ec infections. To address the paucity of recent ESC-R-Ec molecular epidemiology data in the United States, we used whole-genome sequencing (WGS) to fully characterize a large cohort of invasive ESC-R-Ec at a tertiary care cancer center in Houston, Texas, collected from 2016 to 2020. During the study time frame, there were 1,154 index E. coli bloodstream infections (BSIs) of which 389 (33.7%) were ESC-R-Ec. …

Integrative Bayesian Tensor Regression For Imaging Genetics Applications, Yajie Liu, Nilanjana Chakraborty, Zhaohui S Qin, Suprateek Kundu

Faculty, Staff and Student Publications

Identifying biomarkers for Alzheimer's disease with a goal of early detection is a fundamental problem in clinical research. Both medical imaging and genetics have contributed informative biomarkers in literature. To further improve the performance, recently, there is an increasing interest in developing analytic approaches that combine data across modalities such as imaging and genetics. However, there are limited methods in literature that are able to systematically combine high-dimensional voxel-level imaging and genetic data for accurate prediction of clinical outcomes of interest. Existing prediction models that integrate imaging and genetic features often use region level imaging summaries, and they typically do …