Digital Commons Network^™

Afghanistan: Consolidation Of Power Under The Taliban, Challenges And Sustainability, Ali Ahmad Jalali

Journal of Strategic Security

Four years after the return of the Taliban to power in Afghanistan, the country under the clerics’ rule is peaceful but not stable. The country is internationally isolated, economically in crisis and socio-politically divided. Despite earlier pledges to share power with other Afghan parties and respect democratic rights of all Afghans,^[i] the Taliban swiftly reinstated many of their harshest policies, pushing women out of public life and allowing no dissent.

Adhering to an ideology of radical exceptionalism, the ruling Taliban maintain control over the country through a totalitarian governance while keeping ideological ties with regional and global Jihadist groups. …

Our Knowledge Of The Taliban As Guide For Us Policy, Marvin G. Weinbaum

Journal of Strategic Security

Many explanations have been offered for why after two decades of insurgency the US military mission in Afghanistan failed. Some of our judgments about what went wrong can be useful in helping us shape future US policy toward a Taliban-ruled Afghanistan. Even more valuable, we have the benefit of several years of observing the Taliban exercising the responsibilities of governing to guide us in engaging the regime and furthering our security and strategic objectives with Afghanistan and its region. This article identifies seven broad conclusions about the Taliban that should be instructive: Among these are the Taliban’s resistance to transactional …

Effects Of Verbal Tasks On Driving Simulator Performance, Jonathan Cheshire Rann

Theses and Dissertations

We report the results from a driving simulator paradigm we developed to test the effects of simple verbal tasks on simultaneous driving performance. A total of 74 undergraduate students participated in two experiments in which they controlled a car using the steering wheel to track a moving target. The dependent measure, overall deviation from target, was continuously recorded. Experiment 1 (E1) tested tracking performance during slow and fast target speeds under conditions involving either no verbal input or output (Absent), passive listening to spoken prompts via headphones (Listen), or responding to the spoken prompts (Respond). Experiment 2 (E2) was similar …

Stimulation Of The Rostromedial Tegmental Nucleus Induces Long-Lasting Avoidance Behavior, Jacob Ryan Watson

Theses and Dissertations

The role of midbrain dopamine (DA) activity in reward seeking and reinforcement learning is well-documented, contrasting the lesser-understood impact of inhibitory signaling on DAergic activity, especially in the context of aversive learning and avoidance. The rostromedial tegmental nucleus (RMTg) is a GABAergic midbrain structure activated by aversive stimuli and exerts inhibitory influence over ventral tegmental area (VTA) DAergic activity in response to aversive consequences. Stimulation of the RMTg decreases the firing rate of VTA DA neurons and direct inhibition of the RMTg – VTA circuit enhances persistent reward seeking despite aversive consequences, a major criterion of substance use disorder (SUD). …

Clinical Correlates: Using Case-Based Learning In The Physician Assistant Classroom, Pamela Schindler Wilson

Theses and Dissertations

Physician Assistant (PA) education is rigorous and comprehensive. In only 27 months, the students must learn medical knowledge and skills for effective patient care. Instruction must be efficient and effective to teach these students how to be safe and functional PAs. Of primary concern is teaching students how to perform like clinicians, which requires critical thinking, self-directed learning, and teamwork.

This convergent, mixed-methods action research explored the impacts of case-based learning (CBL) in the PA classroom. The findings support using CBL to develop clinical reasoning skills, improve comprehension of the material, and develop self-directed learning skills. CBL requires the students …

Lessons In Game Use: Examining Engagement And Content Knowledge With The Use Of Digital Game-Based Learning Lessons In Biology, Rebecca Anne Valencia

Theses and Dissertations

According to both national and local data, students in high school biology classes are disengaged in content learning and do not demonstrate sufficient understanding of the content taught during units focused on the mechanisms of heredity and gene expression. Traditional teaching methods do not hold their interest which leads to disengagement and missed learning opportunities. The purpose of this action research was to evaluate the effect of digital game-based learning lessons on biology 1 students’ engagement and content knowledge application regarding the mechanisms of heredity and gene expression, as well as on the students’ perceptions of their digital game-based learning …

Explainable Process Recommendation Through Multi-Contextual Grounding Of Dynamic Multimodal Process Knowledge Graphs, Revathy Venkataramanan

Theses and Dissertations

Can I eat this food or not? Is this food suitable for diabetes and why? Which AI pipeline is best suited for a given task and dataset? How should an end-to-end pipeline be constructed? These questions differ from factual question-answering tasks. Recipes and AI pipelines are processes consisting of several entities interacting with each other. A recipe consists of ingredients, cooking methods, and their interactions, while an AI pipeline includes datasets, preprocessing techniques, models, hyperparameters, tasks, and results. Each entity must be analyzed individually, and collective inferencing is performed to derive the final decision. This decision-making process, known as compositional …

Understanding Verbal Irony: A Contrastive Analysis Of Personal And Informational Common Ground, Ruhan Çoban

Theses and Dissertations

This study investigates how representations of personal common ground (PCG; viz., close relationships vs. strangers) and informational common ground (ICG; viz., shared world knowledge) interact in shaping a reader’s comprehension of verbal irony in fictional narratives. While previous research has shown that greater familiarity among story characters enhances readers’ comprehension of ironic statements made by the characters (Gibbs, 2000; Kreuz et al., 1999; Kreuz & Link, 2001; Pexman & Zvaigzne, 2004), the interplay between representations of PCG and ICG remains understudied. In this study, we assumed that ICG takes precedence over PCG. Accordingly, we predicted that irony comprehension would be …

Comparison Between Acute Leukemia Screening Tube And Lineage-Specific Panels For The Diagnosis Of Acute Leukemia In Kenya, Nancy Okinda, Geoffrey Omuse, Elizabeth Kagotho, Douglas Munga

Pathology, East Africa

Purpose: Acute leukemia is a group of hematologic malignancies categorized according to the immature cells that proliferate and replace the normal bone marrow. Flow cytometry has emerged as a cornerstone in the diagnosis of hematologic malignancies. Staged analysis with a screening tube containing specific lineage markers determines the need for subsequent testing if there is an abnormal population (blasts). The specific lineage panels to be analyzed are determined depending on the positive markers in the screening tube. This study aimed to determine the agreement of diagnosis using the acute leukemia screening tube (ALST) and the lineage-specific panel.

Methods: This was …

Mtap Immunohistochemistry As A Surrogate Marker Of Cdkn2a Loss In Brain Tumors: A Meta-Analysis And Literature Review, Antonio Dono, Diego Pichardo-Rojas, Leonardo Mendoza Mora, Pavel S Pichardo-Rojas, Luis A Marin-Castañeda, Abril Carrillo, Adrian Coria Medrano, Yoshua Esquenazi, Leomar Y Ballester

Faculty, Staff and Student Publications

Given the known relationship between CDKN2A homozygous deletion (HD) and worsened outcomes in both meningiomas and IDH-mutant astrocytomas, it is paramount to identify CDKN2A HD for accurate risk stratification of patients. Multiple array platforms can detect CDKN2A HD. However, these methods are expensive and are not readily available at every institution. To address this, we conducted a meta-analysis and literature review to evaluate 5'-methylthioadenosine phosphorylase (MTAP) expression determined by immunohistochemistry (IHC) as a surrogate of CDKN2A HD. Our study analyzed 7 cohort studies, 3 of which focused on meningiomas encompassing a total of 87 patients; and 4 studies were conducted …

I2moe: Interpretable Multimodal Interaction-Aware Mixture-Of-Experts, Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna L Ballard, Tianlong Chen, Qi Long

Faculty, Staff and Student Publications

Modality fusion is a cornerstone of multimodal learning, enabling information integration from diverse data sources. However, vanilla fusion methods are limited by

Dynamic Few-Shot Prompting For Clinical Note Section Classification Using Lightweight, Open-Source Large Language Models, Kurt Miller, Steven Bedrick, Qiuhao Lu, Andrew Wen, William Hersh, Kirk Roberts, Hongfang Liu

Faculty, Staff and Student Publications

Objective: Unlocking clinical information embedded in clinical notes has been hindered to a significant degree by domain-specific and context-sensitive language. Identification of note sections and structural document elements has been shown to improve information extraction and dependent downstream clinical natural language processing (NLP) tasks and applications. This study investigates the viability of a dynamic example selection prompting method to section classification using lightweight, open-source large language models (LLMs) as a practical solution for real-world healthcare clinical NLP systems.

Materials and methods: We develop a dynamic few-shot prompting approach to classifying sections where section samples are first embedded using a transformer-based …

Non-Invasive Tools For Analysis Of Plasma Membrane Protein Topology In Living Cells, Daria Savenkova, Leysan Bulatova, Vera Skripova, Ramziya Kiyamova, Mikhail Bogdanov

Faculty, Staff and Student Publications

Membrane protein topology studies offer guidance to membrane protein structure, folding, and function, serving as a credible scaffold for designing site-directed mutagenesis and biochemical experiments, helping to identify functionally significant extracellular and intracellular regions, modeling three-dimensional structures, and building reliable mechanistic models. Membrane protein structure as a function of given lipid composition and physiological state of the cell is best probed in whole intact cells. A described simple and advanced immunofluorescence protocol applied to the transmembrane orientation of extramembrane domains permits a topology analysis of plasma membrane proteins in their native state in living unperturbed eucaryotic cells. The accessibility of …

Utility Of The Us Preventive Services Task Force For Preeclampsia Risk Assessment And Aspirin Prophylaxis, Thomas F Mcelrath, Arun Jeyabalan, Arkady Khodursky, Alison B Moe, Manfred Lee, Maneesh Jain, Laura Goetzl, Elizabeth F Sutton, Pamela M Simmons, George R Saade, Antonio Saad, Luis D Pacheco, Esther Park-Hwang, Antonina I Frolova, Ebony B Carter, Ai-Ris Y Collier, Daniel G Kiefer, Vincenzo Berghella, Rupsa C Boelig, Michal A Elovitz, Cynthia Gyamfi-Bannerman, Joseph R Biggio, Kara Rood, William A Grobman, Carrie Haverty, Morten Rasmussen

Faculty, Staff and Student Publications

Importance: The US Preventive Services Task Force (USPSTF) guidelines on preeclampsia risk assessment and aspirin prophylaxis (AP) have not been evaluated for clinical utility.

Objective: To evaluate which characteristics in the USPSTF guidelines identify risk status and the association of preeclampsia risk with AP recommendations.

Design, setting, and participants: This observational cohort study enrolled from July 2020 to March 2023 with data analysis performed from October to December 2024. Enrollment occurred at 11 centers throughout the US or via direct-to-participant recruitment. Pregnant participants aged 18 years or older with a singleton pregnancy less than 22 weeks' gestation were selected via …

Practical Considerations For Using The Tite-Boin Design To Handle Late-Onset Toxicity Or Fast Accrual In Phase I Trials, Kai Chen, Ting-Yu Chen, Yiming Zhang, Ruitao Lin, Ying Yuan

Faculty, Staff and Student Publications

Conducting phase I trials is particularly challenging when dealing with late-onset dose-limiting toxicity (DLT) or when patient accrual is rapid relative to the DLT assessment window. In such cases, a new cohort may be ready for enrollment before the DLT assessments are complete for the current cohort, complicating dose assignment decisions. The time-to-event Bayesian optimal interval (TITE-BOIN) design was developed to address this issue by enabling real-time dose assignment for new cohorts, even when some enrolled patients' DLT data are still pending. This design has been increasingly adopted in practice. Upon reviewing trial protocols utilizing TITE-BOIN, we observed considerable variation …

The Landscape Of Malignant Transition: Unraveling Cancer Cell-Of-Origin And Heterogeneous Tissue Microenvironment, Ruihan Luo, Jiajia Liu, Tiangang Wang, Weiling Zhao, Yanfei Wang, Jianguo Wen, Hongyu Wang, Shanli Ding, Xiaobo Zhou

Faculty, Staff and Student Publications

Understanding disease progression and sophisticated tumor ecosystems is imperative for investigating tumorigenesis mechanisms and developing novel prevention strategies. Here, we dissected heterogeneous microenvironments during malignant transitions by leveraging data from 1396 samples spanning 13 major tissues. Within transitional stem-like subpopulations highly enriched in precancers and cancers, we identified 30 recurring cellular states strongly linked to malignancy, including hypoxia and epithelial senescence, revealing a high degree of plasticity in epithelial stem cells. By characterizing dynamics in stem-cell crosstalk with the microenvironment along the pseudotime axis, we found differential roles of ANXA1 at different stages of tumor development. In precancerous stages, reduced …

Involved But Not Essential: Cognitive Activity In Periventricular Nodules And Neuropsychological Outcomes Following Their Ablation, Yosefa A Modiano, Oscar Woolnough, Ryan M Mccormack, Kathryn Snyder, Ellery Wheeler, Samden D Lhatoo, Nuria Lacuey, Sandipan Pati, Katherine Harris, Jay Gavvala, Jessica A Johnson, Nitin Tandon

Faculty, Staff and Student Publications

Objective: Periventricular nodular heterotopia (PVNH) is a malformation of cortical development with high rates of epilepsy. The extent to which nodules participate in normal cerebral functions in addition to pathological processes is unclear. The authors assessed the functional utility (i.e., cognitive impacts) of surgically ablated epileptogenic PVNH tissue via comprehensive neuropsychological testing.

Methods: The sample included 32 patients with PVNH who underwent presurgical neuropsychological evaluation and a subsample of 16 patients who underwent MR-guided laser interstitial thermal therapy (MRgLITT) of nodules, with postsurgical neuropsychological testing. In 11 patients in whom intracranial recordings were performed, reading and naming tasks were tested …

Βiv Spectrin Abundancy, Cellular Distribution And Sensitivity To Akt/Gsk3 Regulation In Schizophrenia, Jessica Di Re, Michela Marini, Syed Ibrar Hussain, Aditya K Singh, Akshaya Venkatesh, Musaad A Alshammari, Tahani K Alshammari, Abdul-Rizaq Ali Hamoud, Ali Sajid Imami, Zahra Haghighijoo, Nickolas Fularcyzk, Laura Stertz, Derek Hawes, Angela Mosebarger, Jordan Jernigan, Claire Chaljub, Ralda Nehme, Consuelo Walss-Bass, Anton Schulmann, Marquis P Vawter, Robert Mccullumsmith, Robert D Damoiseaux, Agenor Limon, Demetrio Labate, Michael F Wells, Fernanda Laezza

Faculty, Staff and Student Publications

Schizophrenia (SCZ) is a complex psychiatric disorder with unclear biological mechanisms. Spectrins, cytoskeletal proteins linked to neurodevelopmental disorders, are regulated by the AKT/GSK3 pathway, which is implicated in SCZ. However, the impact of SCZ-related dysregulation of this pathway on spectrin expression and distribution remains unexplored. Here, we show that βIV spectrin protein levels were reduced in neurons of the dorsolateral prefrontal cortex in SCZ postmortem samples compared to healthy control (HC) from the Human Brain Collection Core (HBCC). To investigate potential links between βIV spectrin and the AKT/GSK3 pathway, we analyzed the PsychEncode dataset, revealing elevated SPTBN4 and AKT2 mRNA …

Author Correction: Autologous T Cell Therapy For Prame+ Advanced Solid Tumors In Hla-A*02+ Patients: A Phase 1 Trial, Martin Wermke, Dejka M Araujo, Manik Chatterjee, Apostolia M Tsimberidou, Tobias A W Holderried, Amir A Jazaeri, Ran Reshef, Carsten Bokemeyer, Winfried Alsdorf, Katrin Wetzko, Peter Brossart, Katrin Aslan, Linus Backert, Sebastian Bunk, Jens Fritsche, Swapna Gulde, Silvana Hengler, Norbert Hilf, Mohammad B Hossain, Jens Hukelmann, Mamta Kalra, Delfi Krishna, M Alper Kursunel, Dominik Maurer, Andrea Mayer-Mokler, Regina Mendrzyk, Ali Mohamed, Karine Pozo, Arun Satelli, Marilena Letizia, Heiko Schuster, Oliver Schoor, Claudia Wagner, Hans-Georg Rammensee, Carsten Reinhardt, Harpreet Singh-Jasuja, Steffen Walter, Toni Weinschenk, Jason J Luke, Cedrik M Britten

Faculty, Staff and Student Publications

No abstract provided.

Germline And Somatic Changes Associated With The Development Of Inherited And De Novo Pediatric Acute Myeloid Leukemia., Scott C. Smith, Lei Zhang

Manuscripts, Articles, Book Chapters and Other Papers

Acute myeloid leukemia (AML) accounts for only about 15-20% of pediatric leukemia and an overall incidence of 1.4 cases per 200,000 children under the age of 15 years. The majority of pediatric AML occurs de novo, often as the result of somatic first hits in utero. A minority of pediatric AML occurs in response to a predisposition syndrome, such as a bone marrow failure syndrome, or other inherited mutations and copy number changes. While the overall survival of pediatric patients with AML is approximately 70%, survival at the individual level is dependent on the abnormality detected either through cytogenomic analyses …

Pathologist-Read Vs Ai-Driven Assessment Of Tumor-Infiltrating Lymphocytes In Melanoma, Thazin N Aung, Matthew Liu, David Su, Saba Shafi, Ceren Boyaci, Sanna Steen, Nikolaos Tsiknakis, Joan Martinez Vidal, Nigel Maher, Goran Micevic, Samuel X Tan, Matthew D Vesely, Saeed Nourmohammadi, Yalai Bai, Dijana Djureinovic, Pok Fai Wong, Katherine Bates, Nay N N Chan, Niki Gavirelatou, Mengni He, Sneha Burela, Robert Barna, Martina Bosic, Konstantin Bräutigam, Irineu Illabochaca, Zhou Chenhao, Joao Gama, Bianca Kreis, Reka Mohacsi, Nir Pillar, Joao Pinto, Christos Poulios, Maria Angeliki Toli, Evangelos Tzoras, Yadriel Bracero, Francesca Bosisio, Gábor Cserni, Alis Dema, Francesco Fortarezza, Mercedes Solorzano Gonzalez, Irene Gullo, Francisco Javier Queipo Gutiérrez, Ezgi Hacihasanoglu, Viktor Jovic, Bianca Lazar, Maria Olinca, Christina Neppl, Rui Caetano Oliveira, Federica Pezzuto, Daniel Gomes Pinto, Vanda Plotar, Ovidiu Pop, Tilman Rau, Kristijan Skok, Wenwen Sun, Ezgi Dicle Serbes, Wiebke Solass, Olga Stanowska, Marcell Szasz, Krzysztof Szymonski, Franziska Thimm, Danielle Vignati, Alon Vigdorovits, Victor Prieto, Tobias Sinnberg, James Wilmott, Shawn Cowper, Jonathan Warrell, Yvonne Saenger, Johan Hartman, Jasmine Plummer, Iman Osman, David L Rimm, Balazs Acs

Faculty, Staff and Student Publications

Importance: Tumor-infiltrating lymphocytes (TILs) are a provocative biomarker in melanoma, influencing diagnosis, prognosis, and immunotherapy outcomes; however, traditional pathologist-read TIL assessment on hematoxylin and eosin-stained slides is prone to interobserver variability, leading to inconsistent clinical decisions. Therefore, development of newer TIL scoring approaches that produce more reliable and consistent readouts is important.

Objective: To evaluate the analytical and clinical validity of a machine learning algorithm for TIL quantification in melanoma compared with traditional pathologist-read methods.

Design, setting, and participants: This multioperator, global, multi-institutional prognostic study compared TIL scoring reproducibility between traditional pathologist-read methods and an artificial intelligence (AI)-driven approach. The …

Adtnorm: Robust Integration Of Single-Cell Protein Measurement Across Cite-Seq Datasets, Ye Zheng, Daniel P Caron, Ju Yeong Kim, Seong-Hwan Jun, Yuan Tian, Florian Mair, Kenneth D Stuart, Peter A Sims, Raphael Gottardo

Faculty, Staff and Student Publications

Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) enables paired measurement of surface protein and mRNA expression in single cells using antibodies conjugated to oligonucleotide tags. Due to the high copy number of surface protein molecules, sequencing antibody-derived tags (ADTs) allows for robust protein detection, improving cell-type identification. However, variability in antibody staining leads to batch effects in the ADT expression, obscuring biological variation, reducing interpretability, and obstructing cross-study analyses. Here, we present ADTnorm, a normalization and integration method designed explicitly for ADT abundance. Benchmarking against 14 existing scaling and normalization methods, we show that ADTnorm accurately aligns populations …

Image-Based Mandibular And Maxillary Parcellation And Annotation Using Computed Tomography (Impact): A Deep Learning-Based Clinical Tool For Orodental Dose Estimation And Osteoradionecrosis Assessment, Laia Humbert-Vidan, Austin H Castelo, Renjie He, Lisanne V Van Dijk, Dong Joo Rhee, Congjun Wang, He C Wang, Kareem A Wahid, Sonali Joshi, Parshan Gerafian, Natalie West, Zaphanlene Kaffey, Sarah Mirbahaeddin, Jaqueline Curiel, Samrina Acharya, Amal Shekha, Praise Oderinde, Alaa M S Ali, Andrew Hope, Erin Watson, Ruth Wesson-Aponte, Steven J Frank, Carly E A Barbon, Kristy K Brock, Mark S Chambers, Muhammad Walji, Katherine A Hutcheson, Stephen Y Lai, Clifton D Fuller, Mohamed A Naser, Amy C Moreno, Opc-Survivor Program, Md Anderson Head And Neck Cancer Symptom Working Group

Faculty, Staff and Student Publications

Background and purpose: Accurate delineation of orodental structures on radiotherapy computed tomography (CT) images is essential for dosimetric assessment and dental decisions. We propose a deep-learning (DL) auto-segmentation framework for individual teeth and mandible/maxilla sub-volumes aligned with the ClinRad osteoradionecrosis staging system.

Materials and methods: Mandible and maxilla sub-volumes were manually defined on simulation CT images from 60 clinical cases, differentiating alveolar from basal regions; teeth were labelled individually. For each task, a DL segmentation model was independently trained. A Swin UNETR-based model was used for mandible sub-volumes. For smaller structures (e.g., teeth and maxilla sub-volumes) a two-stage model first …

Developing Reference Plans For Evaluating Global Clinical Trials Credentialing And Psqa Systems, Fre'etta M D Brooks, Mohammad Hussein, Jessica Lye, Christopher L Nelson, Nakamura Mitsuhiro, Mallory C Glenn, Patricia Diez, Rushil Patel, Maddison Shaw, Ileana Silvestre Patallo, Miriam Barry, Catharine H Clark, Joerg Lehmann, Stephen F Kry

Faculty, Staff and Student Publications

Purpose: To develop a practical framework for creating a diverse set of validated reference plans (varying in complexity) and implement a workflow to introduce beam modeling, calibration, and delivery errors into the reference cohort to test and compare various dosimetry audit methodologies.

Methods: Sixteen IMRT and VMAT reference plans were created, using RayStation software, for four phantom geometries based on established credentialing cases from participating Global Harmonization Group (GHG) members. These reference plans were first validated in a multi-ion-chamber phantom. Nine dosimetric errors (perturbations) were introduced into the plans by modifying beam model and/or delivery parameters (MLC-offset, MLC-transmission, leaf-tip-width, PDD, …

A Visual-Omics Foundation Model To Bridge Histopathology With Spatial Transcriptomics, Weiqing Chen, Pengzhi Zhang, Tu N Tran, Yiwei Xiao, Shengyu Li, Vrutant V Shah, Hao Cheng, Kristopher W Brannan, Keith Youker, Li Lai, Longhou Fang, Yu Yang, Nhat-Tu Le, Jun-Ichi Abe, Shu-Hsia Chen, Qin Ma, Ken Chen, Qianqian Song, John P Cooke, Guangyu Wang

Faculty, Staff and Student Publications

Artificial intelligence has revolutionized computational biology. Recent developments in omics technologies, including single-cell RNA sequencing and spatial transcriptomics, provide detailed genomic data alongside tissue histology. However, current computational models focus on either omics or image analysis, lacking their integration. To address this, we developed OmiCLIP, a visual-omics foundation model linking hematoxylin and eosin images and transcriptomics using tissue patches from Visium data. We transformed transcriptomic data into 'sentences' by concatenating top-expressed gene symbols from each patch. We curated a dataset of 2.2 million paired tissue images and transcriptomic data across 32 organs to train OmiCLIP integrating histology and transcriptomics. Building …

Blood Bacterial Dna Signatures In A Prospective Cohort Of Patients With Masld Cirrhosis, Suet-Ying Kwan, Lillian I Dolapchiev, Caren I Sanchez, Tiffany L Calderone, Jessica I Sanchez, Megha B Bhongade, Ahmed El Sabagh, Darrel W Cleere, Nakul Gupta, Prasun K Jalal, David W Victor, Laura Beretta

Faculty, Staff and Student Publications

Background: Predictive biomarkers are needed to identify individuals with metabolic dysfunction-associated steatotic liver disease (MASLD), at high risk for HCC. Our study aimed to determine whether the detection of circulating bacterial DNA could be associated with HCC development in MASLD patients with liver cirrhosis.

Methods: We developed a multicenter prospective cohort of patients with cirrhosis undergoing surveillance for HCC by contrast-enhanced magnetic resonance imaging. In a nested cohort study, we performed 16S rRNA sequencing of cell-free DNA extracted from 343 longitudinal plasma samples collected from 151 MASLD patients with cirrhosis. Among the 151 patients, 25 developed HCC during follow-up.

Results: …

Technical Development And In Silico Implementation Of Syntheticmr In Head And Neck Adaptive Radiation Therapy: A Prospective R-Ideal Stage 0/1 Technology Development Report, Lucas Mccullum, Samuel L Mulder, Natalie A West, Robert Aghoghovbia, Alaa Mohamed Shawky Ali, Hayden Scott, Travis C Salzillo, Yao Ding, Alex Dresner, Ergys Subashi, Dan Ma, R Jason Stafford, Ken-Pin Hwang, Clifton D Fuller

Faculty, Staff and Student Publications

Background: SyntheticMR has the capability of generating quantitative relaxometry maps and synthetic contrast-weighted MRI images in rapid acquisition times. Recently, it has gained attention in the diagnostic community, however, no studies have investigated its feasibility on the MR-Simulation or MR-Linac systems, especially as part of the head and neck adaptive radiation oncology workflow.

Purpose: Demonstrating its feasibility will facilitate rapid quantitative biomarker extraction, which can be leveraged to guide adaptive radiation therapy decision making.

Methods: Two phantoms, two healthy volunteers, and one patient were scanned using SyntheticMR on the MR-Simulation and MR-Linac devices with scan times between 4 to 6 …

Impacts Of Radiation On Metabolism And Vascular Cell Senescence, Junichi Abe, Khanh Chau, Anahita Mojiri, Guangyu Wang, Masayoshi Oikawa, Venkata S K Samanthapudi, Abigail M Osborn, Keila C Ostos-Mendoza, Karla N Mariscal-Reyes, Tammay Mathur, Abhishek Jain, Joerg Herrmann, Syed Wamique Yusuf, Sunil Krishnan, Anita Deswal, Steven H Lin, Sivareddy Kotla, John P Cooke, Nhat-Tu Le

Faculty, Staff and Student Publications

Significance: This review investigates how radiation therapy (RT) increases the risk of delayed cardiovascular disease (CVD) in cancer survivors. Understanding the mechanisms underlying radiation-induced CVD is essential for developing targeted therapies to mitigate these effects and improve long-term outcomes for patients with cancer.

Recent Advances: Recent studies have primarily focused on metabolic alterations induced by irradiation in various cancer cell types. However, there remains a significant knowledge gap regarding the role of chronic metabolic alterations in normal cells, particularly vascular cells, in the progression of CVD after RT.

Critical Issues: This review centers on RT-induced metabolic alterations in vascular cells …

Heat Shock Induces Alternative Polyadenylation Through Dynamic Dna Methylation And Chromatin Looping, Emily E Fink, Yi Zhang, Briana Santo, Anwita Siddavatam, Rosie Ou, Vishal Nanavaty, Byron H Lee, Angela H Ting

Faculty, Staff and Student Publications

Alternative cleavage and polyadenylation (APA) is a gene regulatory mechanism used by cells under stress to upregulate proteostasis-promoting transcripts, but how cells achieve this remains poorly understood. Previously, we elucidated a DNA methylation-regulated APA mechanism, in which gene body DNA methylation enhances distal poly(A) isoform expression by blocking CCCTC-binding factor (CTCF) binding and chromatin loop formation at APA control regions. We hypothesized that DNA methylation-regulated APA is one mechanism cells employ to induce proteostasis-promoting poly(A) isoforms. At the DNAJB6 cochaperone locus, acute heat shock resulted in binding of stress response transcription factors heat shock factor 1, ATF6, and YY1 at …

Powerest: Statistical Power Estimation For Spatial Transcriptomics Experiments To Detect Differentially Expressed Genes Between Two Conditions, Lan Shui, Anirban Maitra, Ying Yuan, Ken Lau, Harsimran Kaur, Liang Li, Ziyi Li

Faculty, Staff and Student Publications

Recent advancements in spatial transcriptomics (ST) have significantly enhanced biological research in various domains. However, the high cost for current ST data generation techniques restricts the large-scale application of ST. Consequently, maximization of the use of available resources to achieve robust statistical power for ST data is a pressing need. One fundamental question in ST analysis is detection of differentially expressed genes (DEGs) under different conditions using ST data. Such DEG analyses are performed frequently, but their power calculations are rarely discussed in the literature. To address this gap, we developed PoweREST, a power estimation tool designed to support the …