Digital Commons Network^™

Building The Infection Prevention Workforce: Development, Implementation And Evaluation Of Texas Epidemic Public Health Institute Infection Prevention And Control 300 Series, Kayla E Ruch, Janelle Rios

Faculty, Staff and Student Publications

Background: The Texas Epidemic Public Health Institute (TEPHI) was established to strengthen infectious disease preparedness across Texas. The Infection Prevention and Control (IPC) 300 Series represents the third year of a multi-tiered educational initiative designed to provide free, accessible, evidence-based IPC training and continuing education credits for the healthcare workforce.

Methods: Registration and attendance data were collected through Zoom™ and Microsoft Teams™. Knowledge assessments, post-module surveys, and mid- and end-of-series evaluations were administered through QuestionPro™. Module content was informed by guidance from APIC, CDC, CMS, and OSHA. Descriptive statistics and the Kirkpatrick Model of Training Evaluation were used to assess …

Safety And Efficacy Of 6% Hydroxyethyl Starch In Patients Undergoing Major Surgery: The Randomised Controlled Phoneics Trial, Wolfgang Buhre, Óscar Díaz-Cambronero, Simon Schaefer, Martin Novacek, Marina Soro Domingo, Bjorn Stessel, Aurelio Rodríguez-Pérez, Torsten Richter, Georg Rohe, Bernard Cholley, Matthias Gruenewald, Gerhardus Kuiper, Samir Jaber, Dianne De Korte, Javier Belda, Marcelo Gama De Abreu, Robert Baronica, Thomas Scheeren, Carlos Ferrando-Ortolá, Wojciech Szczeklik, Dana Tomescu, Tomas Vyzamal, Zejka Gavranovic, María Pilar Argente-Navarro, Guido Mazzinari, Sarah Thaler, Nuria García-Gregorio, Jeroen Vandenbrande, Diane Zlotnik, Jakob Wittenstein, Sonja Schmier, Susanne Rohn, Christoph Glasmacher, Martin Holler, Cornelius Jungheinrich, Ulf Niess, Daniel I Sessler, Martin Westphal

Faculty, Staff and Student Publications

Abstract

Background: Hydroxyethyl starch (HES) is often used for maintaining vascular volume during major surgery. Long-term high-dose HES in septic patients promotes renal injury, whereas meta-analyses of current HES products in surgical patients do not show such effects.

Objective: We studied if the peri-operative use of HES is noninferior to crystalloids in terms of acute kidney injury. Secondary outcome was the noninferiority of HES on worsening of renal injury and/or the incidence of a composite endpoint of major complications and mortality until postoperative day 90.

Design: Randomised double-blind trial in patients undergoing elective abdominal surgery with expected blood loss at …

Feasibility And Preliminary Outcomes Of A Remotely-Delivered Exercise Training Intervention For English-Speaking Hispanics/Latinos With Multiple Sclerosis: Results From The Ferla Ms Study, Victoria A Flores, Stephanie L Silveira, David X Marquez, Dominique Kinnett-Hopkins, Augusto Miravalle, Fabian Sierra-Morales, Robert W Motl

Faculty, Staff and Student Publications

Background: There is limited evidence on the feasibility of remotely delivered exercise interventions for English-speaking Hispanics/Latinos with MS.

Objectives: To evaluate the feasibility and exploratory efficacy of a remotely-delivered, home-based exercise program for English-speaking Hispanics/Latinos with MS and to explore associations among feasibility metrics, outcomes, and social determinants of health (SDOH).

Results: Of 340 individuals contacted, 112 were eligible (33%), 33 enrolled (9.7%), 30 randomized, and 26 completed (87% retention). Adherence averaged 81% (exercise) and 89% (control). No serious adverse events occurred. Exploratory within-group improvements were observed in the exercise group for physical activity (p = 0.03, d = …

Heart Failure Hospitalization In Patients With And Without Type 2 Diabetes: A Population-Based Retrospective Cohort Study, Allison K Shay, Wei Tao, Soumya Patnaik, Delaney K Sullivan, Angelo Nascimbene, Xueying Wang, Joseph B Mccormick, Hulin Wu

Faculty, Staff and Student Publications

Purpose: Type 2 diabetes mellitus (T2DM) is a common comorbidity among patients with heart failure (HF). This study aims to describe how T2DM relates to HF hospitalization patterns across demographic groups and HF subtypes.

Methods: We conducted a population-based retrospective cohort study using 19 years of clinical data from Cerner Health Facts®, a nationwide electronic health record (EHR) database. Adult patients hospitalized with HF were identified using ICD-9/ICD-10 diagnosis codes and HF-related medications and were stratified by T2DM status. Measures included HF-related hospitalization count, length of first HF hospitalization, and age at first HF hospitalization. Comparisons were examined across HF …

Understanding Practices Of Lactation And Infant Feeding Together With Women With Hiv: The Uplift Observational Study Protocol, Christiana Smith, Emily Anne Barr, Karen Hampanda, Mark Trumbull, Hulin Wu, Jennifer Mckinney, Sarah Buisson, Carly Hoffmann, Ciarra Brown, Angela B Hutchinson, K Rivet Amico, Ifeyinwa V Asiodu, Elizabeth J Mcfarland, Margaret A Lampe, Preetam A Cholli, Olga Varechtchouk, Allahna Esber, Athena P Kourtis, Lisa Abuogi

Faculty, Staff and Student Publications

Introduction: There is a limited understanding of infant feeding decisions, practices, and outcomes for women living with HIV (WLHIV) and their infants since U.S. guidelines were updated in 2023 to support breastfeeding for virally suppressed women on antiretroviral treatment.

Methods and analysis: The Understanding Practices of Lactation and Infant Feeding Together with women with HIV (UPLIFT) study is a convergent mixed-methods, multisite, observational study designed to address key knowledge gaps. Twelve US sites will begin enrollment in early 2026 to accomplish three core activities (CA). In CA1, we explore infant feeding decision-making and experiences via in-depth interviews with pregnant/postpartum WLHIV …

Correction: Feasibility Of Conducting A Pilot Randomized Trial Of A Mindfulness-Based Intervention Among Sheltered Young Adults Experiencing Homelessness, Diane Santa Maria, Paula Cuccaro, Erica Sibinga, Kimberly Bender, Ethel Jacko, Widumini Liyanage, Jennifer Jones, Stanley Cron

Faculty, Staff and Student Publications

This corrects the article "Feasibility of conducting a pilot randomized trial of a mindfulness-based intervention among sheltered young adults experiencing homelessness" in volume 16, 1649664.

Recent Abdominal Surgery As A Risk Factor For Unfavorable Immune-Mediated Colitis Outcomes, Rohan Ahuja, Malek Shatila, Jay Shah, Cristina Natha, Varun Vemulapalli Mdi, Nitish Mittal, Jasmine Mikal Haydel, Irene Jeong-Ah Lee, Andres Caleb Urias Rivera, Carolina Colli Cruz, Bryan Schneider, Shilpa Grover, Aliyah Pabani, Anusha S Thomas, Yinghong Wang

Faculty, Staff and Student Publications

Background and aims: Risk factors for immune checkpoint inhibitor (ICI) therapy enterocolitis (IMC) have not been greatly explored. Abdominal surgery can reduce bacterial diversity, increase the presence of pathogenic bacteria, and lead to inflammatory changes. This retrospective analysis seeks to determine if a history of recent abdominal surgery in patients who receive ICI therapy affects the severity and duration of enterocolitis.

Methods: We retrospectively reviewed patients with history of abdominal surgeries, who received ICI for cancers and then developed IMC. Clinical profiles, oncology variables, and colitis-related characteristics were reported.

Results: Seven hundred sixty-five patients met the inclusion criteria. Patients median …

Evaluating Differences In Nonsyndromic Orofacial Clefts By Infant Sex: National Birth Defects Prevention Study, 1997-2011, Victoria A Salinas, Natalie P Archer, Layla R Lustri, Katherine L Ludorf, Timothy Ihongbe, Wei Yang, Eva M Williford, Marilyn L Browne, Adrian M Michalski, Lindsay A Williams, Wendy Nembhard, Eirini Nestoridi, Gary M Shaw, Andrew F Olshan, A J Agopian, National Birth Defects Prevention Study

Faculty, Staff and Student Publications

Objective: To investigate nongenetic factors that may contribute to observed differences in nonsyndromic orofacial clefts by infant sex.

Study design: Using data for 1997-2011 deliveries from the National Birth Defects Prevention Study, a case-control study, we separately examined associations between 23 maternal factors and cleft lip with or without cleft palate (CL/P) and cleft palate alone (CP) using multivariable logistic regression stratified by infant sex.

Results: We compared 2986 infants with CL/P and 1557 with CP to 11 271 control infants without birth defects. After adjusting for maternal age at conception and education, lower odds of nonsyndromic orofacial clefts were …

An Integrated Lifestyle-, Genetic- And Metabolomics-Based Prediction Model For Mild Cognitive Aging In The Hchs/Sol, Annah B Wyss, Yana Hrytsenko, Linfeng Hu, Iris J Broce, Robert C Kaplan, Wassim Tarraf, Bing Yu, Eric Boerwinkle, Qibin Qi, Myriam Fornage, Charles Decarli, Hector M González, Tamar Sofer

Faculty, Staff and Student Publications

Prediction models for cognitive aging measures have largely evaluated demographic variables and APOE carrier status in populations of European ancestry. To comprehensively assess prediction models among Hispanic/Latinos, we considered 12 models (6 predictor sets and 2 methods) for global cognitive score change (GCSC) and mild cognitive impairment (MCI) in the Study of Latinos-Investigation of Neurocognitive Aging (SOL-INCA) (N = 5856). Based on the average mean squared error (MSE) for GCSC or average area under the curve (AUC) for MCI across 100 randomly split testing and training sets, performance was similar across models, but slightly better for the following models: …

Enhancing Data Compatibility In An Evolving Landscape: Medical Cannabis And Polysubstance Use Protocols In The Phenx Toolkit, Anne Buu, Johannes Thrul, Amanda Bunting, Tamara Haegerich, Wayne Huggins, Christian Hopfer, Denise Vidot, Cataia Ives, Ryan Mcneil, Sarah Zemore, Corrie Vilsaint, Elizabeth Fallon, Christine Hill, Carol Hamilton, John Kelly

Faculty, Staff and Student Publications

Introduction: With increasing legalization of medical cannabis and prevalence of polysubstance use in the United States comes the need for standard psychometrically validated measures to study these substances' health effects in the population. The PhenX (consensus measures for Phenotypes and eXposures) Toolkit (www.phenxtoolkit.org) is a freely accessible catalog of recommended measurement protocols to promote data compatibility across studies, but this extensive catalog did not include measures in these important areas.

Methods: In 2024, a PhenX Working Group of experts followed a well-established consensus process to identify and recommend measurement protocols suitable for inclusion in studies on medical cannabis and polysubstance …

Population-Based Analysis Of Synergistic Effects Of Functional Disability And Comorbidities On Retention In Hiv Care Among People With Hiv, Modupe Olajumoke Onigbogi, Osaro Mgbere, Paul Rowan, Ruosha Li, Charles Darkoh

Faculty, Staff and Student Publications

Objective: This cross-sectional study examined how types of disability and comorbidities influence retention in care (RIC) among people with HIV (PWH) in Houston/Harris County, Texas, USA.

Methods: Data from 1142 participants in the Houston Medical Monitoring Project (2015–2021) were analyzed. Descriptive statistics, bivariate analyses, and multivariable logistic regression were used to evaluate factors associated with RIC.

Results: Approximately 74.9% of participants were retained in care. Compared to PWH without specific comorbidities, those with dyslipidemia and kidney disease had higher odds of RIC (AOR: 2.66; 95% CI: 1.40–5.03 and AOR: 14.08; 95% CI: 1.44–138.12, respectively). PWH reporting only mobility disability had …

Evaluating Artificial Intelligence Large Language Mocdels In Dental Education: A Cross-Sectional Survey On Usage, Perceptions, And Integration At A U.S. Dental Scho, Celine Sheng, Camie Mcfarland, Nikola Angelov, Sridhar V K Eswaran, Richard Halpin, Jennifer Chang

Faculty, Staff and Student Publications

Introduction: The adoption of artificial intelligence (AI) in higher education presents opportunities and challenges for dental education. This study explores the use of Large Language Model (LLM) based AI tools, including ChatGPT and Grammarly AI, among faculty and students at the UTHealth School of Dentistry in Houston (UTSDH). This research assessed usage patterns, perceived benefits and concerns, and AI training demand.

Methods: A piloted, cross-sectional survey was administered via email. The survey included Likert-scale, multiple-choice, and open-ended questions. Respondents provided demographics and rated their LLM-based AI tools for use and perceptions in educational, clinical, and research contexts. Data was analyzed …

A User-Friendly Graphical User Interface For Paw Touch Classification In Rodent Cylinder Testing, Tyler R Johnson, Katherine D Zerefos, Dawn M Taylor

Faculty, Staff and Student Publications

In unilateral rodent models of disease or injury, deficits are induced in only one side of the body, allowing the difference in right versus left limb usage to serve as a metric of disease/injury severity and recovery with various treatments. Unilateral rat models are commonly used for conditions such as Parkinson’s disease (via the neurotoxin 6-hydroxydopamine, 6-OHDA), stroke, and traumatic brain injury, as well as cervical spinal cord injury and peripheral nerve damage. The ‘cylinder test’ has been used for over two decades as a reliable metric of asymmetry in forelimb usage. In this test, videos are taken of the …

Enhancing Inter-Institutional Ai Research Collaboration Across Multidisciplinary Teams To Increase The National Ai Workforce In Healthcare, Toufeeq Ahmed Syed, Sarah Popal, D'Laney Kernan, Deevakar Rogith, Zulfiia Ditto, Paul Warhurst, Jay Johnson, Jamboor K Vishwanatha

Faculty, Staff and Student Publications

Inter-institutional team collaboration is critical for impactful multidisciplinary AI research in healthcare. The goal of our project (AIM-AHEAD Connect) is to increase multidisciplinary collaborations by connecting AI/ML experts and healthcare researchers, trainees and professionals to enhance research and improve health for all Americans. As of February 2026, AIM-AHEAD Connect has over 10,100 AI/ML and healthcare experts from across 2,400 institutions, has made more than 7,800 connections and facilitated 194 collaborative online groups. We conducted a unique study to understand collaboration, and analyzed profile, connection, and platform engagement metrics to determine if AI experts and healthcare researchers with more inter-institutional connections …

Factors Associated With Opioid And Antibiotic Prescribing At Us Academic Dental Institutions: 2011 To 2020, S Tungare, A-I Yansane, S Gantela, K K Kookal, S Mccurdy, T M Krause, S Sharma, M Walji

Faculty, Staff and Student Publications

Introduction: In the United States, dentists are one of the leading prescribers of opioids and antibiotics. Because dental schools are the training grounds for future dentists, it is crucial to understand how prescribing has changed and why these medications are being prescribed in academic settings.

Objectives: The objective of this research was to describe the prescribing trends and factors associated with opioid and antibiotic medication prescribing at US academic dental institutions between 2011 and 2020.

Methods: Data from electronic dental records collected through the BigMouth data repository from 9 anonymized dental institutions between 2011 and 2020 were used. Prescribing rates …

Rewiring The Immune Response In Lung Cancer: Current Progress In Bispecific Antibodies, Car-T Therapy, And The Rise Of In Vivo Car-T Platforms, Lei He, Yi Sun, Bowen Ma, Guojun Lang, Jianguo Wen, George R Blumenschein, Hong Ma

Faculty, Staff and Student Publications

Lung cancer remains the leading cause of cancer mortality worldwide and continues to impose a major clinical burden, particularly in advanced non-small cell lung cancer (NSCLC) and small-cell lung cancer (SCLC). Although targeted therapies, antiangiogenic agents, immune checkpoint inhibitors, and antibody-drug conjugates have improved outcomes in selected patients, durable responses remain limited by primary and acquired resistance. Here, we comprehensively review recent progress in immunologically oriented therapeutic strategies for lung cancer, focusing on bispecific antibodies, chimeric antigen receptor (CAR) T-cell therapy, and emerging in vivo CAR-engineering modalities. We further elaborate on the clinical rationale, latest translational and early clinical evidence, …

Deep Learning To Predict Future Cognitive Decline: A Multimodal Approach Using Brain Mri And Clinical Data, Tamoghna Chattopadhyay, Pavithra Senthilkumar, Rahul H Ankarath, Christopher Patterson, Emma J Gleave, Sophia I Thomopoulos, Heng Huang, Li Shen, Lei You, Degui Zhi, Paul M Thompson

Faculty, Staff and Student Publications

Predicting the trajectory of clinical decline in aging individuals is a pressing challenge, especially for people with mild cognitive impairment, Alzheimer's disease, Parkinson's disease, or vascular dementia. Accurate predictions can guide treatment decisions, identify risk factors, and optimize clinical trials. In this study, we compared two deep learning approaches for forecasting changes, over a 2-year interval, in the Clinical Dementia Rating scale 'sum of boxes' score (sobCDR), as a continuous outcome (regression). This is a key metric in dementia research and clinical trials, and scores range from 0 (no impairment) to 18 (severe impairment). To predict decline, we trained a …

A Hybrid Vit-L/32-Maxvit-L Architecture With Adaptive Gated Fusion For Multiclass Gastrointestinal Disease Detection And Multi-Method Post-Hoc Explainability, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Introduction: Accurate detection of gastrointestinal diseases from endoscopic images remains challenging due to substantial inter-class similarity, intra-class variability, and heterogeneous lesion presentation. While convolutional neural networks (CNNs) effectively capture fine mucosal textures, their limited receptive field restricts global contextual reasoning. Conversely, transformer architectures model long-range dependencies but may underrepresent localized structural detail.

Methods: This study proposes a dual-branch hybrid transformer framework that integrates global token-level reasoning from ViT-L/32 with hierarchical spatial modeling from MaxViT-L. An adaptive gated fusion mechanism is introduced to dynamically regulate the relative contribution of local and global representations on a per-sample basis, enabling content-aware cross-scale integration. …

Global-Local Feature Fusion: A Robust Hybrid Deep Learning Model For Multiclass Brain Tumor Classification With Grad-Cam++ Interpretation, Kirti Pant, Pijush Kanti Dutta Pramanik, Shahid Mohammad Ganie, Anindita Saha, Zhongming Zhao

Faculty, Staff and Student Publications

Background: Accurate classification of brain tumors in MRI scans is critical for effective clinical decision making, yet manual assessment is labor-intensive and subject to variability. Although deep learning models, particularly CNNs and Transformers, have shown potential, each architecture alone has limitations: CNNs excel at local feature extraction but lack global context awareness, while Transformers capture global relationships but may overlook fine-grained details.

Objectives: To develop a hybrid Transfer Learning-Transformer model that integrates CNN-driven local feature modeling with Transformer-based global reasoning to enhance multi-class brain tumor classification.

Methods: The proposed workflow comprises three stages: (1) benchmarking standalone CNN (ResNet50, VGG19, ConvNeXtBase, …

Genetic Variants Associated With Sjögren’S Disease Subtypes Stratified By Clinical Feature, Nitesh Enduru, Chihiro Iwaya, Akiko Suzuki, Zhongming Zhao, Junichi Iwata

Faculty, Staff and Student Publications

Introduction: Sjögren's disease (SjD) is a chronic autoimmune disorder characterized by dry mouth (xerostomia) and dry eyes (xerophthalmia) due to inflammation in exocrine glands, particularly the salivary and lacrimal glands. The condition presents a wide variety of clinical features, suggesting that it may involve heterogeneous conditions without a clear boundary. Although genome-wide association studies (GWAS) have identified several genetic variants associated with SjD, their roles in SjD pathogenesis remain unclear.

Methods: In this study, we aimed to identify single-nucleotide polymorphisms (SNPs) associated with SjD by categorizing patients based on four diagnostic markers: anti-Ro/SSA and anti-La/SSB antibodies, IgG levels, and lymphocyte …

Ai-Powered Immune Cell Knowledge Graph (Ickg) With Granular Immune Contexts Enables Immune Program Interpretation, Shan He, Yukun Tan, Qing Ye, Matthew M Gubin, Merve Dede, Hind Rafei, Weiyi Peng, Katayoun Rezvani, Vakul Mohanty, Ken Chen

Faculty, Staff and Student Publications

The widespread application of single-cell and spatial omics to models and patient samples has transformed immune cell profiling across physiological conditions. However, knowledge of immune cell states, functions, and gene regulation remains fragmented across publications, limiting our ability to synthesize insights and derive mechanistic understanding from the literature. To address this gap and facilitate literature integration, we constructed Immune Cell Knowledge Graphs (ICKGs)-four cell type-specific graphs derived from over 24,000 cancer immunotherapy-focused PubMed abstracts using large language models (LLMs) with "human verifiable" validation. Unlike conventional databases, which provide context-agnostic pathways, ICKGs capture directed, literature-supported relationships among genes, pathways and immune …

Outcomes Of Patients With Melanoma Brain Metastases Treated With Ipilimumab And Nivolumab With Or Without Upfront Comprehensive Stereotactic Radiosurgery, Troy J Kleber, Denái R Milton, Subhiksha Srinivasan, Bikash Panthi, Warren Floyd, Eric A Goethe, Michael A Davies, Hussein A Tawbi, Isabella C Glitza Oliva, Diana Kaya, Jing Li, Todd A Swanson, Subha Perni, Martin C Tom, Chenyang Wang, Sujit Prabhu, Jeffrey S Weinberg, Ian E Mccutcheon, Caroline Chung, Sherise D Ferguson, Thomas H Beckham

Faculty, Staff and Student Publications

Background: The efficacy of ipilimumab and nivolumab (ipi/nivo) for melanoma brain metastases (MBMs) has been previously reported, leading to uncertainty regarding the optimal role of comprehensive stereotactic radiosurgery (cSRS). We therefore conducted a single-institution retrospective study to compare outcomes of upfront versus deferred cSRS for MBM treated with ipi/nivo.

Methods: We identified patients who started ipi/nivo for newly diagnosed MBMs between 2018 and 2023, with or without upfront cSRS. Patients with >15 MBMs, leptomeningeal disease, or whole-brain radiotherapy at baseline were excluded. Outcomes were compared using multivariable regression and reported as adjusted hazard ratios (aHRs) with 95% CIs.

Results: Of …

Reply To: Late Nonrelapse Mortality: A Hidden Risk In Triplet Therapy For Idh-Mutated Aml?, Jennifer Marvin-Peek, Courtney D Dinardo

Faculty, Staff and Student Publications

No abstract provided.

Metastasis-Directed Radiotherapy For Oligometastatic Urothelial Carcinoma Of The Bladder And Upper Tract, Patrick Carriere, Omar Alhalabi, Jianjun Gao, Amishi Shah, Sangeeta Goswami, Matthew Campbell, Ruitao Lin, Lauren Mayo, Osama Mohamad, Karen Hoffman, Henry Mok, Charmaigne Lozano, Ashish Kamat, Neema Navai, Kelly Bree, Byron Lee, Charles Guo, Michael Rooney, Chad Tang, Seungtaek Choi, Comron Hassanzadeh

Faculty, Staff and Student Publications

Background: Metastasis-directed therapy (MDT) for oligometastatic cancer is utilized for genitourinary malignancies including prostate and kidney cancers. Clinical research on MDT for urothelial carcinoma (UC) remains sparse, especially as systemic therapy advances have improved outcomes.

Objective: We investigated the role of MDT, specifically radiotherapy, for patients with oligometastatic bladder or upper-tract UC.

Methods: Data were collated on patients with metastatic UC with 5 or fewer metastatic sites undergoing MDT with ablative radiotherapy with or without preceding systemic therapy during January 2016 to July 2024. Endpoints were progression-free survival (PFS), and overall survival (OS). Cox proportional hazards analysis was conducted to …

Functional, Pharmacogenomic, And Immune Landscapes Of Long Non-Coding Rnas In Cancer, Runhao Wang, Mei Luo, Yuan Liu, Jingwen Yang, Yamei Chen, Chengxuan Chen, Lifei Ma, Stephanie Ding, James Wengler, Yong Zang, Bora Lim, Wenbo Li, Liuqing Yang, Chunru Lin, Lixia Diao, Leng Han

Faculty, Staff and Student Publications

Long non-coding RNAs (lncRNAs) are emerging as key regulators in cancer, with significant potential as diagnostic, prognostic, and therapeutic targets. Here, this work systematically analyzes lncRNA associations with targeted therapies and immunotherapies across 33 cancer types using The Cancer Genome Atlas (TCGA) and real-world datasets. This work identifies 53,173 lncRNA-pathway associations, millions of lncRNA-drug response associations (via CancerRxTissue and VAEN), and extensive correlations with immune checkpoints and infiltration. This work further identifies 69 lncRNAs associated with immunotherapy response and 2,611 differentially expressed lncRNAs between low and high objective response rate (ORR) groups. Additionally, two lncRNAs are correlated with immune-related adverse …

Bop2-Comb: Bayesian Optimal Phase Ii Design For Optimizing Doses And Assessing Contribution Of Components In Drug Combinations, Xiaohan Chi, Ying Yuan, Ruitao Lin

Faculty, Staff and Student Publications

Background: Personalized cancer treatment using combination therapies offers substantial therapeutic benefits over single-agent treatments in most cancers. However, unmet clinical needs and increasing market competition pressure drug developers to quickly optimize combination doses and clearly demonstrate the contribution of each component when developing and evaluating new combination treatments.

Methods: We propose a Bayesian optimal phase II drug-combination (BOP2-Comb) design that optimizes the combination dose and evaluates the proof-of-concept as well as the contribution of each component in two seamless stages. Our optimal calibration scheme minimizes the total trial sample size while controlling incorrect decision rates at nominal levels. This calibration …

Contemporary Opportunities And Potential Of Auger Electron-Emitting Theranostics, Seok-Yong Lee, H Charles Manning

Faculty, Staff and Student Publications

Recent breakthroughs in radiopharmaceutical (RP) therapy have emerged interest in employing Auger electron (AE)-emitting radionuclides as potential agents for precise theranostics. AE provides energy with exceptional localization due to their short tissue penetration range (TPR, < 10 nm), rendering them particularly effective for targeting nuclear DNA in tumor cells. In this context, AE-emitting radionuclide therapy (AE-emitting RLT) enables the targeted destruction of tumor cells while reducing harm to adjacent healthy tissue, a significant challenge in this field. Preclinical and early clinical investigations reveal the efficacy of AE-emitting RLTs in the theranostics of diverse malignancies, such as glioblastoma, prostate cancer, and neuroendocrine tumors. Notwithstanding these developments, challenges and limitations persist regarding dosimetry, delivery efficiency, and the treatment of radiotoxicity. A new paradigm is being developed to tackle the obstacles encountered by integrating molecular target markers (e.g., PARP) that function near the nucleus to improve the intranuclear delivery efficiency of AE-emitting radionuclides. Novel radiochemical methods such as these have facilitated the more stable and efficient labeling of biomolecules with AE-emitting radionuclides. Also, recent advances in DNA-molecular targeting, nanoparticles, nucleic acid/protein engineering, click- or bioorthogonal conjugation chemistry, and artificial intelligence (AI)-based structure modeling present concrete opportunities to overcome these limitations. Moreover, the integration of diagnostic imaging companion platforms employing theranostic radioisotope pairings facilitates real-time assessment of therapeutic efficacy and biodistribution, resulting in the formulation of enhanced treatment regimens. This review summarizes the prior development, recent advancements, barriers in clinical implementation, and future perspective of AE-emitting RLTs.

Nsd2 Inhibitors Rewire Chromatin To Treat Lung And Pancreatic Cancers, Jinho Jeong, Simone Hausmann, Hanyang Dong, Kacper Szczepski, Natasha M Flores, Andy Garcia Gonzalez, Liyang Shi, Xiaoyin Lu, Joanna Lempiäinen, Moritz Jakab, Liyong Zeng, Tourkian Chasan, Eric Bareke, Rui Dong, Emma Carlson, Reinnier Padilla, Dylan Husmann, Julia Thompson, Gerry A Shipman, Emily Zahn, Courtney A Barnes, Laiba F Khan, Liz Marie Albertorio-Sáez, Eva Brill, Vishnu Udayakumar Sunita Kumary, Matthew R Marunde, Danielle N Maryanski, Cheryl C Szany, Bryan J Venters, Carolina Lin Windham, Michal Eligiusz Nowakowski, Iwona Czaban, Mariusz Jaremko, Michael-Christopher Keogh, Kang Le, Michael J Soth, Benjamin A Garcia, Łukasz Jaremko, Jacek Majewski, Pawel K Mazur, Or Gozani

Faculty, Staff and Student Publications

NSD2 catalyses the epigenetic modification H3K36me2 (refs. 1,2) and is a candidate convergent downstream effector of oncogenic signalling in diverse malignancies3–5. However, it remains unclear whether the enzymatic activity of NSD2 is therapeutically targetable. Here we characterize a series of clinical-grade small-molecule catalytic NSD2 inhibitors (NSD2i) and show that the pharmacological targeting of NSD2 constitutes an epigenetic dependency with broad therapeutic efficacy in KRAS-driven preclinical cancer models. NSD2i inhibits NSD2 with single-digit nanomolar half-maximal inhibitory concentration potency and high selectivity over related methyltransferases. Structural analyses reveal that the specificity of NSD2i for NSD2 …

Respiratory Motion Effects And Plan Robustness For Lattice Radiation Therapy, Rachael M Martin-Paulpeter, Peter A Balter, Luis A Perles, Ethan B Ludmir, Joshua S Niedzielski

Faculty, Staff and Student Publications

Introduction: Lattice radiation therapy (LRT), a form of spatially fractionated radiation therapy (SFRT), has shown promise in treating bulky tumors. It consists of hot and cold spots within the tumor, and the ratio between these doses is thought to be important in clinical outcomes. Respiratory motion is expected to degrade these peak-to-valley dose ratios (PVDRs) but has largely been ignored in LRT literature and clinical practice. This work aims to quantify the response of LRT dose distributions to motion to better inform motion management decisions and improve clinical outcomes.

Methods: Respiratory motion of peak-to-peak amplitudes from 0.3 to 2 cm …

Examining Motivators And Barriers To Meditation Practice Among Individuals With Spinal Cord Injury: Insights From A Survey Study, Radha Korupolu, Chelsea G Ratcliff, Ariana Andampour, Susan Robinson-Whelen, Shrasti Lohiya, Audrey S Cohen, Christine Bakos-Block, Tiffany Champagne-Langabeer

Faculty, Staff and Student Publications

Context: Meditation and mindfulness practices offer promising non-pharmacological alternatives for individuals with spinal cord injury (SCI) to improve their health and well-being, but integrating such practices into daily routines can be challenging.

Objectives: This survey study aims to identify motivators and barriers to engagement with meditation and mindfulness interventions among individuals with SCI.

Methods: A cross-sectional survey was conducted among adults with SCI (N = 94) from a single large acute rehabilitation center in the United States.

Results: Results from the survey showed a strong interest in meditation among individuals with SCI, with nearly half reporting current engagement in meditation …