Medicine and Health Sciences Commons^™

Somatic Mutations In Normal Tissues: Calm Before The Storm, Zahraa Rahal, Paul Scheet, Humam Kadara

Faculty, Staff and Student Publications

We explore the phenomenon of somatic mutations, including those in cancer driver genes, that are present in healthy, normal-appearing tissues and their potential implications for cancer development. We also examine the landscape of these somatic mutations, discuss the role of clonal cell competition and external factors like inflammation in enhancing the fitness of mutant clones, and conclude by considering how understanding these mutations will aid in prevention and/or interception of cancer.

Personalized Llm Response Generation With Parameterized Memory Injection, Kai Zhang, Yejin Kim, Xiaozhong Liu

Faculty, Staff and Student Publications

Large Language Models (LLMs) have exhibited remarkable proficiency in comprehending and generating natural language. On the other hand, personalized LLM response generation holds the potential to offer substantial benefits for individuals in critical areas such as medical. Existing research has explored memory-augmented methods to prompt the LLM with pre-stored user-specific knowledge for personalized response generation in terms of new queries. We contend that such paradigm is unable to perceive fine-granularity information. In this study, we propose a novel \textbf{M}emory-\textbf{i}njected approach using parameter-efficient fine-tuning (PEFT) and along with a Bayesian Optimisation searching strategy to achieve \textbf{L}LM \textbf{P}ersonalization(\textbf{MiLP}).

The Hallmarks Of Precancer, Mary M Stangis, Zhengyi Chen, Jimin Min, Sarah E Glass, Jordan O Jackson, Megan D Radyk, Xen Ping Hoi, W Nathaniel Brennen, Ming Yu, Huy Q Dinh, Robert J Coffey, Martha J Shrubsole, Keith S Chan, William M Grady, Srinivasan Yegnasubramanian, Costas A Lyssiotis, Anirban Maitra, Richard B Halberg, Neelendu Dey, Ken S Lau

Faculty, Staff and Student Publications

Research on precancers, as defined as at-risk tissues and early lesions, is of high significance given the effectiveness of early intervention. We discuss the need for risk stratification to prevent overtreatment, an emphasis on the role of genetic and epigenetic aging when considering risk, and the importance of integrating macroenvironmental risk factors with molecules and cells in lesions and at-risk normal tissues for developing effective intervention and health policy strategies.

T-Cell Dysfunctions In Myelodysplastic Syndromes, Juan Jose Rodriguez-Sevilla, Simona Colla

Faculty, Staff and Student Publications

Escape from immune surveillance is a hallmark of cancer. Immune deregulation caused by intrinsic and extrinsic cellular factors, such as altered T-cell functions, leads to immune exhaustion, loss of immune surveillance, and clonal proliferation of tumoral cells. The T-cell immune system contributes to the pathogenesis, maintenance, and progression of myelodysplastic syndrome (MDS). Here, we comprehensively reviewed our current biological knowledge of the T-cell compartment in MDS and recent advances in the development of immunotherapeutic strategies, such as immune checkpoint inhibitors and T-cell- and antibody-based adoptive therapies that hold promise to improve the outcome of patients with MDS.

De Novo Variants In Fryl Are Associated With Developmental Delay, Intellectual Disability, And Dysmorphic Features, Xueyang Pan, Alice M Tao, Shenzhao Lu, Mengqi Ma, Shabab B Hannan, Rachel Slaugh, Sarah Drewes Williams, Lauren O'Grady, Oguz Kanca, Richard Person, Melissa T Carter, Konrad Platzer, Franziska Schnabel, Rami Abou Jamra, Amy E Roberts, Jane W Newburger, Anya Revah-Politi, Jorge L Granadillo, Alexander P A Stegmann, Margje Sinnema, Andrea Accogli, Vincenzo Salpietro, Valeria Capra, Lina Ghaloul-Gonzalez, Martina Brueckner, Marleen E H Simon, David A Sweetser, Kevin E Glinton, Susan E Kirk, Baylor College Of Medicine Center For Precision Medicine Models, Michael F Wangler, Shinya Yamamoto, Wendy K Chung, Hugo J Bellen

Faculty, Staff and Students Publications

FRY-like transcription coactivator (FRYL) belongs to a Furry protein family that is evolutionarily conserved from yeast to humans. The functions of FRYL in mammals are largely unknown, and variants in FRYL have not previously been associated with a Mendelian disease. Here, we report fourteen individuals with heterozygous variants in FRYL who present with developmental delay, intellectual disability, dysmorphic features, and other congenital anomalies in multiple systems. The variants are confirmed de novo in all individuals except one. Human genetic data suggest that FRYL is intolerant to loss of function (LoF). We find that the fly FRYL ortholog, furry (fry), is …

Next Directions In The Neuroscience Of Cancers Arising Outside The Cns, Moran Amit, Corina Anastasaki, Robert Dantzer, Ihsan Ekin Demir, Benjamin Deneen, Karen O Dixon, Mikala Egeblad, Erin M Gibson, Shawn L Hervey-Jumper, Hubert Hondermarck, Claire Magnon, Michelle Monje, Shorook Na'ara, Yuan Pan, Elizabeth A Repasky, Nicole N Scheff, Erica K Sloan, Sebastien Talbot, Kevin J Tracey, Lloyd C Trotman, Manuel Valiente, Linda Van Aelst, Varun Venkataramani, Humsa S Venkatesh, Paola D Vermeer, Frank Winkler, Richard J Wong, David H Gutmann, Jeremy C Borniger

Faculty, Staff and Students Publications

The field of cancer neuroscience has begun to define the contributions of nerves to cancer initiation and progression; here, we highlight the future directions of basic and translational cancer neuroscience for malignancies arising outside of the central nervous system.

Bi-Allelic Acbd6 Variants Lead To A Neurodevelopmental Syndrome With Progressive And Complex Movement Disorders, Rauan Kaiyrzhanov, Aboulfazl Rad, Sheng-Jia Lin, Aida Bertoli-Avella, Wouter W Kallemeijn, Annie Godwin, Maha S Zaki, Kevin Huang, Tracy Lau, Cassidy Petree, Stephanie Efthymiou, Ehsan Ghayoor Karimiani, Maja Hempel, Elizabeth A Normand, Sabine Rudnik-Schöneborn, Ulrich A Schatz, Marc P Baggelaar, Muhammad Ilyas, Tipu Sultan, Javeria Raza Alvi, Manizha Ganieva, Ben Fowler, Ruxandra Aanicai, Gulsen Akay Tayfun, Abdulaziz Al Saman, Abdulrahman Alswaid, Nafise Amiri, Nilufar Asilova, Vorasuk Shotelersuk, Patra Yeetong, Matloob Azam, Meisam Babaei, Gholamreza Bahrami Monajemi, Pouria Mohammadi, Saeed Samie, Selina Husna Banu, Jorge Pinto Basto, Fanny Kortüm, Mislen Bauer, Peter Bauer, Christian Beetz, Masoud Garshasbi, Awatif Hameed Issa, Wafaa Eyaid, Hind Ahmed, Narges Hashemi, Kazem Hassanpour, Isabella Herman, Sherozjon Ibrohimov, Ban A Abdul-Majeed, Maria Imdad, Maksudjon Isrofilov, Qassem Kaiyal, Suliman Khan, Brian Kirmse, Janet Koster, Charles Marques Lourenço, Tadahiro Mitani, Oana Moldovan, David Murphy, Maryam Najafi, Davut Pehlivan, Maria Eugenia Rocha, Vincenzo Salpietro, Miriam Schmidts, Adel Shalata, Mohammad Mahroum, Jawabreh Kassem Talbeya, Robert W Taylor, Dayana Vazquez, Annalisa Vetro, Hans R Waterham, Mashaya Zaman, Tina A Schrader, Wendy K Chung, Renzo Guerrini, James R Lupski, Joseph Gleeson, Mohnish Suri, Yalda Jamshidi, Kailash P Bhatia, Barbara Vona, Michael Schrader, Mariasavina Severino, Matthew Guille, Edward W Tate, Gaurav K Varshney, Henry Houlden, Reza Maroofian

Faculty, Staff and Students Publications

The acyl-CoA-binding domain-containing protein 6 (ACBD6) is ubiquitously expressed, plays a role in the acylation of lipids and proteins and regulates the N-myristoylation of proteins via N-myristoyltransferase enzymes (NMTs). However, its precise function in cells is still unclear, as is the consequence of ACBD6 defects on human pathophysiology. Using exome sequencing and extensive international data sharing efforts, we identified 45 affected individuals from 28 unrelated families (consanguinity 93%) with bi-allelic pathogenic, predominantly loss-of-function (18/20) variants in ACBD6. We generated zebrafish and Xenopus tropicalis acbd6 knockouts by CRISPR/Cas9 and characterized the role of ACBD6 on protein N-myristoylation with myristic acid alkyne …

Leveraging Explainable Artificial Intelligence To Optimize Clinical Decision Support, Siru Liu, Allison B Mccoy, Josh F Peterson, Thomas A Lasko, Dean F Sittig, Scott D Nelson, Jennifer Andrews, Lorraine Patterson, Cheryl M Cobb, David Mulherin, Colleen T Morton, Adam Wright

Faculty, Staff and Student Publications

OBJECTIVE: To develop and evaluate a data-driven process to generate suggestions for improving alert criteria using explainable artificial intelligence (XAI) approaches.

METHODS: We extracted data on alerts generated from January 1, 2019 to December 31, 2020, at Vanderbilt University Medical Center. We developed machine learning models to predict user responses to alerts. We applied XAI techniques to generate global explanations and local explanations. We evaluated the generated suggestions by comparing with alert's historical change logs and stakeholder interviews. Suggestions that either matched (or partially matched) changes already made to the alert or were considered clinically correct were classified as helpful. …

Oncogenic Oral Human Papillomavirus Clearance Patterns Over 10 Years, Gypsyamber D'Souza, Sakshi R Tewari, Tanya Troy, Jennifer Webster-Cyriaque, Dorothy J Wiley, Cecile Delille Lahiri, Frank Joseph Palella, Maura L Gillison, Howard D Strickler, Linda Struijk, Tim Waterboer, Ken Ho, Jennafer Kwait, Jason Lazar, Kathleen M Weber, Carole Fakhry

Faculty, Staff and Student Publications

Background: Effective screening for oropharyngeal cancer is lacking. Four oncogenic HPV clearance definitions were explored to understand long-term natural history for persistent oncogenic oral HPV (oncHPV), the precursor of oropharyngeal cancer.

Methods: Prospective multicenter cohort of participants living with/at-risk for HIV, with oral rinse and gargle samples collected every 6 to 12 months for up to 10 years and tested for oncHPV. HPV clearance definitions included 1 (clear1), 2 (clear2), 3 (clear3) consecutive negatives, or being negative at last two visits (clearlast).

Results: Median time to clearance of oncHPV exceeded 2 years for conservative definitions (clear3: 2.38, clearlast: 2.43), but …

Evaluation Of Four Computed Tomography Reconstruction Algorithms Using A Coronary Artery Phantom, Shungo Sawamura, Shingo Kato, Yoshinori Funama, Seitaro Oda, Harumi Mochizuki, Sayuri Inagaki, Yuka Takeuchi, Tsubasa Morioka, Toshiharu Izumi, Yoichiro Ota, Hironori Kawagoe, Shihyao Cheng, Naoki Nakayama, Kazuki Fukui, Takashi Tsutsumi, Tae Iwasawa, Daisuke Utsunomiya

Faculty, Staff and Student Publications

BACKGROUND: Despite advancements in coronary computed tomography angiography (CTA), challenges in positive predictive value and specificity remain due to limited spatial resolution. The purpose of this experimental study was to investigate the effect of 2nd generation deep learning-based reconstruction (DLR) on the quantitative and qualitative image quality in coronary CTA.

METHODS: A vessel model with stepwise non-calcified plaque was scanned using 320-detector CT. Image reconstruction was performed using four techniques: hybrid iterative reconstruction (HIR), model-based iterative reconstruction (MBIR), DLR, and 2nd generation DLR. The luminal peak CT number, contrast-to-noise ratio (CNR), and edge rise slope (ERS) were quantitatively evaluated via …

Nodal Variants Are Associated With A Continuum Of Laterality Defects From Simple D-Transposition Of The Great Arteries To Heterotaxy, Zain Dardas, Jawid M Fatih, Angad Jolly, Moez Dawood, Haowei Du, Christopher M Grochowski, Edward G Jones, Shalini N Jhangiani, Xander H T Wehrens, Pengfei Liu, Weimin Bi, Eric Boerwinkle, Jennifer E Posey, Donna M Muzny, Richard A Gibbs, James R Lupski, Zeynep Coban-Akdemir, Shaine A Morris

Faculty, Staff and Student Publications

BACKGROUND: NODAL signaling plays a critical role in embryonic patterning and heart development in vertebrates. Genetic variants resulting in perturbations of the TGF-β/NODAL signaling pathway have reproducibly been shown to cause laterality defects in humans. To further explore this association and improve genetic diagnosis, the study aims to identify and characterize a broader range of NODAL variants in a large number of individuals with laterality defects.

METHODS: We re-analyzed a cohort of 321 proband-only exomes of individuals with clinically diagnosed laterality congenital heart disease (CHD) using family-based, rare variant genomic analyses. To this cohort we added 12 affected subjects with …

Gabaergic/Glycinergic And Glutamatergic Neurons Mediate Distinct Neurodevelopmental Phenotypes Of Stxbp1 Encephalopathy, Joo Hyun Kim, Wu Chen, Eugene S Chao, Armando Rivera, Heet Naresh Kaku, Kevin Jiang, Dongwon Lee, Hongmei Chen, Jaimie M Vega, Teresa V Chin, Kevin Jin, Kelly T Nguyen, Sheldon S Zou, Zain Moin, Shawn Nguyen, Mingshan Xue 薛名杉

Faculty, Staff and Students Publications

An increasing number of pathogenic variants in presynaptic proteins involved in the synaptic vesicle cycle are being discovered in neurodevelopmental disorders. The clinical features of these synaptic vesicle cycle disorders are diverse, but the most prevalent phenotypes include intellectual disability, epilepsy, movement disorders, cerebral visual impairment, and psychiatric symptoms ( Verhage and Sørensen, 2020; Bonnycastle et al., 2021; John et al., 2021; Melland et al., 2021). Among this growing list of synaptic vesicle cycle disorders, the most frequent is STXBP1 encephalopathy caused by de novo heterozygous pathogenic variants in syntaxin-binding protein 1 (STXBP1, also known as …

Patient Perspectives On The Use Of Artificial Intelligence In Health Care: A Scoping Review, Sally Moy, Mona Irannejad, Stephanie Jeanneret Manning, Mehrdad Farahani, Yomna Ahmed, Ellis Gao, Radhika Prabhune, Suzan Lorenz, Raza Mirza, Christopher Klinger

Journal of Patient-Centered Research and Reviews

Purpose

Artificial intelligence (AI) technology is being rapidly adopted into many different branches of medicine. Although research has started to highlight the impact of AI on health care, the focus on patient perspectives of AI is scarce. This scoping review aimed to explore the literature on adult patients’ perspectives on the use of an array of AI technologies in the health care setting for design and deployment.

Methods

This scoping review followed Arksey and O'Malley’s framework and Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Scoping Reviews (PRISMA-ScR). To evaluate patient perspectives, we conducted a comprehensive literature search using …

Identification Of Colorectal Cancer Cell Stemness From Single-Cell Rna Sequencing, Kangyu Lin, Saikat Chowdhury, Mohammad A Zeineddine, Fadl A Zeineddine, Nicholas J Hornstein, Oscar E Villarreal, Dipen M Maru, Cara L Haymaker, Jean-Nicolas Vauthey, George J Chang, Elena Bogatenkova, David Menter, Scott Kopetz, John Paul Shen

Faculty, Staff and Student Publications

UNLABELLED: Cancer stem cells (CSC) play a critical role in metastasis, relapse, and therapy resistance in colorectal cancer. While characterization of the normal lineage of cell development in the intestine has led to the identification of many genes involved in the induction and maintenance of pluripotency, recent studies suggest significant heterogeneity in CSC populations. Moreover, while many canonical colorectal cancer CSC marker genes have been identified, the ability to use these classical markers to annotate stemness at the single-cell level is limited. In this study, we performed single-cell RNA sequencing on a cohort of 6 primary colon, 9 liver metastatic …

Peritoneal Microenvironment Promotes Appendiceal Adenocarcinoma Growth: A Multi-Omics Approach Using Patient-Derived Xenografts, Vinay K Pattalachinti, Ichiaki Ito, Saikat Chowdhury, Abdelrahman Yousef, Yue Gu, Betul Beyza Gunes, Emma R Salle, Melissa W Taggart, Keith Fournier, Natalie W Fowlkes, John Paul Shen

Faculty, Staff and Student Publications

Appendiceal adenocarcinoma (AA) is unique from other gastrointestinal malignancies in that it almost exclusively metastasizes to the peritoneal cavity. However, few studies have investigated the molecular interaction of the peritoneal microenvironment and AA. Here, we use a multi-omics approach with orthotopic and flank-implanted patient-derived xenografts (PDX) to study the effect of the peritoneal microenvironment on AA. AA tumors implanted in the peritoneal microenvironment tended to grow faster and displayed greater nuclear expression of Ki-67 relative to the same tumors implanted in the flank. Comparing the tumor-specific transcriptome (excluding stromal transcription), the peritoneal microenvironment relatively upregulated genes related to proliferation, including …

Neutrophil Elastase Remodels Mammary Tumors To Facilitate Lung Metastasis, Amriti R Lulla, Said Akli, Cansu Karakas, Joseph A Caruso, Lucas D Warma, Natalie W Fowlkes, Xiayu Rao, Jing Wang, Kelly K Hunt, Stephanie S Watowich, Khandan Keyomarsi

Faculty, Staff and Student Publications

Metastatic disease remains the leading cause of death due to cancer, yet the mechanism(s) of metastasis and its timely detection remain to be elucidated. Neutrophil elastase (NE), a serine protease secreted by neutrophils, is a crucial mediator of chronic inflammation and tumor progression. In this study, we used the PyMT model (NE+/+ and NE-/-) of breast cancer to interrogate the tumor-intrinsic and -extrinsic mechanisms by which NE can promote metastasis. Our results showed that genetic ablation of NE significantly reduced lung metastasis and improved metastasis-free survival. RNA-sequencing analysis of primary tumors indicated differential regulation of tumor-intrinsic actin cytoskeleton signaling pathways …

Author Correction: Automating Data Analysis For Hydrogen/Deuterium Exchange Mass Spectrometry Using Data-Independent Acquisition Methodology, Frantisek Filandr, Vladimir Sarpe, Shaunak Raval, D Alex Crowder, Morgan F Khan, Pauline Douglas, Stephen Coales, Rosa Viner, Aleem Syed, John A Tainer, Susan P Lees-Miller, David C Schriemer

Faculty, Staff and Student Publications

No abstract provided.

Antigen-Clustered Nanovaccine Achieves Long-Term Tumor Remission By Promoting B/Cd 4 T Cell Crosstalk, Chengyi Li, Ryan Clauson, Luke F Bugada, Fang Ke, Bing He, Zhixin Yu, Hongwei Chen, Binyamin Jacobovitz, Hongxiang Hu, Polina Chuikov, Brett Dallas Hill, Syed M Rizvi, Yudong Song, Kai Sun, Pasieka Axenov, Daniel Huynh, Xinyi Wang, Lana Garmire, Yu Leo Lei, Irina Grigorova, Fei Wen, Marilia Cascalho, Wei Gao, Duxin Sun

Faculty, Staff and Student Publications

Current cancer vaccines using T cell epitopes activate antitumor T cell immunity through dendritic cell/macrophage-mediated antigen presentation, but they lack the ability to promote B/CD4 T cell crosstalk, limiting their anticancer efficacy. We developed antigen-clustered nanovaccine (ACNVax) to achieve long-term tumor remission by promoting B/CD4 T cell crosstalk. The topographic features of ACNVax were achieved using an iron nanoparticle core attached with an optimal number of gold nanoparticles, where the clusters of HER2 B/CD4 T cell epitopes were conjugated on the gold surface with an optimal intercluster distance of 5-10 nm. ACNVax effectively trafficked to lymph nodes and cross-linked with …

Targeting Branched N-Glycans And Fucosylation Sensitizes Ovarian Tumors To Immune Checkpoint Blockade, Hao Nie, Pratima Saini, Taito Miyamoto, Liping Liao, Rafal J Zielinski, Heng Liu, Wei Zhou, Chen Wang, Brennah Murphy, Martina Towers, Tyler Yang, Yuan Qi, Toshitha Kannan, Andrew Kossenkov, Hiroaki Tateno, Daniel T Claiborne, Nan Zhang, Mohamed Abdel-Mohsen, Rugang Zhang

Faculty, Staff and Student Publications

Aberrant glycosylation is a crucial strategy employed by cancer cells to evade cellular immunity. However, it's unclear whether homologous recombination (HR) status-dependent glycosylation can be therapeutically explored. Here, we show that the inhibition of branched N-glycans sensitizes HR-proficient, but not HR-deficient, epithelial ovarian cancers (EOCs) to immune checkpoint blockade (ICB). In contrast to fucosylation whose inhibition sensitizes EOCs to anti-PD-L1 immunotherapy regardless of HR-status, we observe an enrichment of branched N-glycans on HR-proficient compared to HR-deficient EOCs. Mechanistically, BRCA1/2 transcriptionally promotes the expression of MGAT5, the enzyme responsible for catalyzing branched N-glycans. The branched N-glycans on HR-proficient tumors augment their …

Ai Is A Viable Alternative To High Throughput Screening: A 318-Target Study, The Atomwise Aims Program

Faculty, Staff and Student Publications

High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, …

Radiation-Induced Lymphopenia: Understanding, Predictive Modelling And Developing Photon And Proton-Based Mitigation Strategies, Yan Chu

Dissertations and Theses (Open Access)

It is well recognized that the effectiveness of radiotherapy (RT) requires an intact adaptive immune system, while lymphocytes are highly radiosensitive and are prevalent in the “dose bath” of radiation surrounding the tumor volume. Furthermore, it has been shown that, for nearly all disease sites, radiation-induced lymphopenia (RIL) is associated with poor outcomes. Recently, we observed compelling evidence of significant differences in the lymphocyte-sparing effects of proton therapy (PT) vs. photon (or x-ray) therapy (XRT) attributable to the differences in magnitudes of the dose baths of the two modalities. In addition, previous work has further demonstrated that both patient-specific and …

An Informatics Framework For Representing, Detecting, And Measuring Citations Of Biomedical Datasets, Xu Zuo

Dissertations and Theses (Open Access)

Biomedical research is inherently data-intensive, emphasizing the necessity of making data findable, accessible, interoperable, and reusable (FAIR) to expedite scientific breakthroughs. Despite the importance, data creators often do not receive sufficient recognition and lack the motivation to publish datasets in accordance with FAIR principles, primarily due to inadequate incentives. Citations serve as a means to attribute credit for dataset creation, track dataset usage, and assess the impact of data. Implementing standardized data citations could significantly enhance the discoverability of data and foster the maintenance of high-quality datasets. Initiatives like DataCite and the FAIRsharing community have been instrumental in addressing this …

Implementing A New Clinical Note Template To Reduce Documentation Burden At A Pediatric Organization, Nikki Blaze

Translational Projects (Open Access)

Clinical notes of a patient’s visit to a healthcare provider are necessary for patient care, reimbursement, and regulatory compliance with federal and state laws. Over time, non-standardized processes within the EHR have led to the increasing use of copy-paste to complete clinical notes, leading to irrelevant information being captured in the notes. Sinsky et al. (2020) shared that 49% of physicians' time is spent within the EHR, completing their documentation, placing orders, and reviewing the patient's chart. The documentation requirements for billing and coding created tension as clinicians sought ways to reduce the documentation burden. To reduce the documentation burden …

Transcriptional Signature Of Durable Effector T Cells Elicited By A Replication Defective Hcmv Vaccine, Xiaohua Ye, David J H Shih, Zhiqiang Ku, Junping Hong, Diane F Barrett, Richard E Rupp, Ningyan Zhang, Tong-Ming Fu, W Jim Zheng, Zhiqiang An

Faculty, Staff and Student Publications

Human cytomegalovirus (HCMV) is a leading infectious cause of birth defects and the most common opportunistic infection that causes life-threatening diseases post-transplantation; however, an effective vaccine remains elusive. V160 is a live-attenuated replication defective HCMV vaccine that showed a 42.4% efficacy against primary HCMV infection among seronegative women in a phase 2b clinical trial. Here, we integrated the multicolor flow cytometry, longitudinal T cell receptor (TCR) sequencing, and single-cell RNA/TCR sequencing approaches to characterize the magnitude, phenotype, and functional quality of human T cell responses to V160. We demonstrated that V160 de novo induces IE-1 and pp65 specific durable polyfunctional …

Improving Data Accuracy, Completeness, And Efficiency In The Pediatric Congenital Heart Surgery Registry, Kelly Brown

Translational Projects (Open Access)

Clinical patient registries, such as the pediatric congenital heart surgery registry, are designed to collect large amounts of varied clinical, administrative, and demographic data on specific patient populations. Data from these registries are used for multiple purposes, such as reporting, national benchmarking, research, quality improvement activities, and accreditation. Therefore, organizations must have accurate, complete, and timely data to meet these demands. However, manual data abstraction is the predominant method for populating a clinical patient registry. This method utilizes paid data abstractors, clinicians, and administrative staff and can be inefficient, incomplete, inaccurate, and costly.

The aim of this project was to …

Population Coding Of Strategic Variables During Foraging In Freely Moving Macaques, Neda Shahidi, Melissa Franch, Arun Parajuli, Paul Schrater, Anthony Wright, Xaq Pitkow, Valentin Dragoi

Faculty, Staff and Student Publications

Until now, it has been difficult to examine the neural bases of foraging in naturalistic environments because previous approaches have relied on restrained animals performing trial-based foraging tasks. Here we allowed unrestrained monkeys to freely interact with concurrent reward options while we wirelessly recorded population activity in the dorsolateral prefrontal cortex. The animals decided when and where to forage based on whether their prediction of reward was fulfilled or violated. This prediction was not solely based on a history of reward delivery, but also on the understanding that waiting longer improves the chance of reward. The task variables were continuously …

A Multi-Institutional Comparison Of Retrospective Deformable Dose Accumulation For Online Adaptive Magnetic Resonance-Guided Radiotherapy, Martina Murr, Uffe Bernchou, Edyta Bubula-Rehm, Mark Ruschin, Parisa Sadeghi, Peter Voet, Jeff D Winter, Jinzhong Yang, Eyesha Younus, Cornel Zachiu, Yao Zhao, Hualiang Zhong, Daniela Thorwarth

Faculty, Staff and Student Publications

BACKGROUND AND PURPOSE: Application of different deformable dose accumulation (DDA) solutions makes institutional comparisons after online-adaptive magnetic resonance-guided radiotherapy (OA-MRgRT) challenging. The aim of this multi-institutional study was to analyze accuracy and agreement of DDA-implementations in OA-MRgRT.

MATERIAL AND METHODS: One gold standard (GS) case deformed with a biomechanical-model and five clinical cases consisting of prostate (2x), cervix, liver, and lymph node cancer, treated with OA-MRgRT, were analyzed. Six centers conducted DDA using institutional implementations. Deformable image registration (DIR) and DDA results were compared using the contour metrics Dice Similarity Coefficient (DSC), surface-DSC, Hausdorff-distance (HD95%), and accumulated dose-volume histograms (DVHs) …

Intraprocedural Versus Initial Follow-Up Minimal Ablative Margin Assessment After Colorectal Liver Metastasis Thermal Ablation: Which One Better Predicts Local Outcomes?, Yuan-Mao Lin, Iwan Paolucci, Jessica Albuquerque Marques Silva, Caleb S O'Connor, Bryan M Fellman, Aaron K Jones, Joshua D Kuban, Steven Y Huang, Zeyad A Metwalli, Kristy K Brock, Bruno C Odisio

Faculty, Staff and Student Publications

Objectives: The aim of this study was to investigate the prognostic value of 3-dimensional minimal ablative margin (MAM) quantified by intraprocedural versus initial follow-up computed tomography (CT) in predicting local tumor progression (LTP) after colorectal liver metastasis (CLM) thermal ablation.

Materials and methods: This single-institution, patient-clustered, tumor-based retrospective study included patients undergoing microwave and radiofrequency ablation between 2016 and 2021. Patients without intraprocedural and initial follow-up contrast-enhanced CT, residual tumors, or with follow-up less than 1 year without LTP were excluded. Minimal ablative margin was quantified by a biomechanical deformable image registration method with segmentations of CLMs on intraprocedural preablation …

Comprehensive Analysis Of Transcription Factor-Based Molecular Subtypes And Their Correlation To Clinical Outcomes In Small-Cell Lung Cancer, Sehhoon Park, Tae Hee Hong, Soohyun Hwang, Simon Heeke, Carl M Gay, Jiyeon Kim, Hyun-Ae Jung, Jong-Mu Sun, Jin Seok Ahn, Myung-Ju Ahn, Jong Ho Cho, Yong Soo Choi, Jhingook Kim, Young Mog Shim, Hong Kwan Kim, Lauren Averett Byers, John V Heymach, Yoon-La Choi, Se-Hoon Lee, Keunchil Park

Faculty, Staff and Student Publications

BACKGROUND: Recent studies have reported the predictive and prognostic value of novel transcriptional factor-based molecular subtypes in small-cell lung cancer (SCLC). We conducted an in-depth analysis pairing multi-omics data with immunohistochemistry (IHC) to elucidate the underlying characteristics associated with differences in clinical outcomes between subtypes.

METHODS: IHC (n = 252), target exome sequencing (n = 422), and whole transcriptome sequencing (WTS, n = 189) data generated from 427 patients (86.4% males, 13.6% females) with SCLC were comprehensively analysed. The differences in the mutation profile, gene expression profile, and inflammed signatures were analysed according to the IHC-based molecular subtype.

FINDINGS: IHC-based …

Fedfsa: Hybrid And Federated Framework For Functional Status Ascertainment Across Institutions, Sunyang Fu, Heling Jia, Maria Vassilaki, Vipina K Keloth, Yifang Dang, Yujia Zhou, Muskan Garg, Ronald C Petersen, Jennifer St Sauver, Sungrim Moon, Liwei Wang, Andrew Wen, Fang Li, Hua Xu, Cui Tao, Jungwei Fan, Hongfang Liu, Sunghwan Sohn

Faculty, Staff and Student Publications

Introduction: Patients' functional status assesses their independence in performing activities of daily living, including basic ADLs (bADL), and more complex instrumental activities (iADL). Existing studies have discovered that patients' functional status is a strong predictor of health outcomes, particularly in older adults. Depite their usefulness, much of the functional status information is stored in electronic health records (EHRs) in either semi-structured or free text formats. This indicates the pressing need to leverage computational approaches such as natural language processing (NLP) to accelerate the curation of functional status information. In this study, we introduced FedFSA, a hybrid and federated NLP framework …