Digital Commons Network^™

Estimated Impact Of 2022–2023 Influenza Vaccines On Annual Hospital Burden In The United States, Kaiming Bi, Shraddha Ramdas Bandekar, Anass Bouchnita, Annalise Cramer, Spencer J Fox, Rebecca K Borchering, Matthew Biggerstaff, Lauren Ancel Meyers

Faculty, Staff and Student Publications

During the COVID-19 pandemic early years, infection prevention measures suppressed transmission of seasonal influenza and other respiratory viruses. The early onset and moderate severity of the US 2022-2023 influenza season may have resulted from reduced use of nonpharmaceutical interventions or lower population immunity after 2 y of limited influenza virus circulation. We used a mathematical model of influenza virus transmission that incorporates vaccine-derived protection against both infection and severe disease to estimate the impact of influenza vaccines on healthcare burden. Assuming reported levels of past vaccine effectiveness (VE) against infection and hospitalization, we estimate that influenza vaccines prevented 69,886 (95% …

Allergenai: A Deep Learning Model Predicting Allergenicity Based On Protein Sequence, Jiajia Liu, Surendra S Negi, Chengyuan Yang, Xiaobo Zhou, Catherine H Schein, Werner Braun, Pora Kim

Faculty, Staff and Student Publications

BACKGROUND: Innovations in protein engineering offer promising solutions for redesigning allergenic proteins to minimize adverse reactions in sensitive individuals. Earlier models for predicting allergenicity have relied on the knowledge of physicochemical properties and sequence homology to assess the potential risk. However, to better understand the allergenic proteins’ sequence features, we need a novel sequence-based deep learning model for predicting allergenicity.

RESULTS: We present a novel AI-based tool, AllergenAI, to quantify the allergenic potential of a protein’s sequence without using any other known features. Our study utilized allergenic protein sequence data archived in the three well-established databases, SDAP 2.0, COMPARE, and …

Using Machine Learning For Early Prediction Of In-Hospital Mortality During Icu Admission In Liver Cancer Patients, Zhuo Zheng, Jinhong Xia, Jiawei Luo, Lei Du, Xiaobo Zhou, Xiaoyan Yang, Yan Xia, Mengyao Liu, Shixin Huang

Faculty, Staff and Student Publications

Liver cancer has a high incidence and mortality rate globally, particularly in patients requiring intensive care unit (ICU) admission. Early prediction of in-hospital mortality for these patients is crucial, yet lacking reliable tools. This study aims to develop and evaluate machine learning (ML) models for predicting in-hospital mortality in critically ill liver cancer patients admitted to the ICU. This retrospective study used data from the MIMIC-III and MIMIC-IV databases, including 862 patients from MIMIC-III (training cohort) and 692 patients from MIMIC-IV (validation cohort). The study focused on patients diagnosed with liver cancer, identified by specific ICD codes. Four ML algorithms, …

Accounting For Population Structure In Genomic Prediction Of Strawberry Sweetness At A Global Scale, Mulusew Fikere, Jason D Zurn, Sujeet Verma, Iraida Amaya, Pilar Muñoz, José F Sánchez-Sevilla, Helen M Cockerton, Richard J Harrison, Lise L Mahoney, Thomas M Davis, James F Hancock, Chad E Finn, Megan M Mathey, Jodi Neal, Hian-Lien Ko, Vance M Whitaker, Nahla V Bassil, Craig Hardner

Faculty, Staff and Student Publications

Genomic prediction models that fit multiple environments globally are valuable tools for assessing cultivar performance across diverse and variable growing conditions. We analyzed 2,064 strawberry (Fragaria × ananassa) accessions genotyped with 12,591 SNP markers. Soluble solids content (SSC) was measured in multi-year trials conducted at seven locations spanning the U.S., Europe, and Australia. Population structure analysis grouped accessions into two major clusters corresponding to subtropical and temperate origins, which was confirmed by significant differences in allele frequency distributions. To improve prediction accuracy across environments, we developed factor analytic models focusing on genotype-by-environment interactions rather than covariance between sub-populations. We compared …

Read The Data For Diverse Truths-And Quantitative Myocardial Perfusion Versus Angiography, Kenneth Lance Gould, Nils P Johnson

Faculty, Staff and Student Publications

No abstract provided.

Sex Differences In Atherosclerotic Coronary Artery Disease Patterns, Kazumasa Ikeda, Daniel Munhoz, Sofie Brouwers, Jeroen Sonck, Hitoshi Matsuo, Toshiro Shinke, Hirohiko Ando, Brian Ko, Simone Biscaglia, Fernando Rivero, Thomas Engstrøm, Ketina Arslani, Antonio Maria Leone, Domenico Galante, Lokien X Van Nunen, William F Fearon, Evald Høj Christiansen, Stephane Fournier, Liyew Desta, Andy Yong, Julien Adjedj, Javier Escaned, Masafumi Nakayama, Ashkan Eftekhari, Frederik M Zimmermann, Koshiro Sakai, Tatyana Storozhenko, Bruno R Da Costa, Gianluca Campo, Colin Berry, Damien Collison, Thomas Johnson, Tetsuya Amano, Divaka Perera, Allen Jeremias, Ziad Ali, Bernard De Bruyne, Frederic Bouisset, Takashi Kubo, Nobuhiro Tanaka, Kazuhiro Satomi, Nils P Johnson, Carlos Collet, Takuya Mizukami

Faculty, Staff and Student Publications

Background: Sex differences in coronary artery disease (CAD) have been increasingly recognized, as women present with distinct clinical characteristics and outcomes compared with men. This study investigated the impact of sex on pathophysiological CAD patterns (focal versus diffuse) in stable patients undergoing percutaneous coronary interventions (PCI).

Methods: We conducted a subanalysis of the PPG Global (Pullback Pressure Gradient Global Registry) study, a multicenter, prospective trial including 993 patients (236 [23.8%] women and 757 [76.2%] men) with hemodynamically significant CAD, defined as fractional flow reserve ≤0.80. The pullback pressure gradient metric categorized CAD patterns as focal or diffuse. Patient-reported outcomes were …

Vessel-Specific Myocardial Mass In Patients With Stable Coronary Artery Disease, Nikolaos Stalikas, Takuya Mizukami, Frederic Bouisset, Kazumasa Ikeda, Atomu Tajima, Daniel Munhoz, Thabo Mahendiran, Adriaan Wilgenhof, Koshiro Sakai, Bjarne Noorgard, Thomas Engstroem, Jonathon Leipsic, Giulio Stefanini, Antonio Bartorelli, Timothy Fairbairn, Alan Bagnall, Brian Ko, Nils P Johnson, Colin Berry, Divaka Perera, Evald Høj Christiansen, Toshiro Shinke, Hiromase Otake, Bon Kwon Koo, Emanuele Barbato, Salvatore Brugaletta, Damien Collison, Gianluca Campo, Eric Van Belle, Tommaso Goori, Lokien Van Nunen, Adam Witkowski, Patricio Astudillo, James Spratt, Tetsuya Amano, Hirohiko Ando, Georgios Sianos, Jeroen Sonck, Daniele Andreini, Bernard De Bruyne, Carlos Collet

Faculty, Staff and Student Publications

Background: Assessing the myocardial mass at risk is essential in evaluating patients with coronary artery disease. This study aims to establish reference values for vessel-specific myocardial mass derived from coronary computed tomography angiography, providing a quantitative assessment of the myocardial mass subtended by each epicardial vessel.

Methods: Left ventricular (LV) and vessel-specific myocardial mass were calculated from coronary computed tomography angiography using the Voronoi method in patients with stable coronary artery disease. Myocardial mass was quantified for each epicardial coronary artery with a diameter >1.5 mm.

Results: We included 948 patients with 9228 epicardial coronary artery branches. Mean age was …

Prognosis And Treatment Response Stratification According To Loss Of Proofreading (Lop), Giulia Maddalena, Fadl A Zeineddine, Saikat Chowdhury, Mohammad A Zeineddine, Abdelrahman M Yousef, Francesca Bergamo, Sara Lonardi, Timothy A Yap, Michael Geoffrey White, Michael J Overman, Scott Kopetz, John Paul Shen

Faculty, Staff and Student Publications

Background: Only a subset of polymerase epsilon (POLE) mutations is associated with hypermutant phenotype; we hypothesized that only loss-of-proofreading (LOP) POLE mutations are associated with favorable immunotherapy response.

Methods: This retrospective cohort study included a pan-cancer cohort of 69,223 patients from cBioPortal and a cohort of patients with 41 POLE mutant metastatic colorectal (CRC) treated with immunotherapy at the MD Anderson Cancer Center between January 2017 and May 2023. We evaluated prognosis according to POLE mutation functionality.

Results: In the pan-cancer cBioPortal cohort (n=69,223) POLE was mutated in 2.8% (1,965) of tumors; of these, only 7.5% (n=148) had …

Voices: Future Directions In Targeting The Tumor Microenvironment, Tanja De Gruijl, Catherine Sautès-Fridman, Daniela S Thommen, Michael A Curran

Faculty, Staff and Student Publications

What do you envision as the most promising future directions for therapeutic strategies aimed at modulating the tumor microenvironment?

Autostent: A Semi-Automated Approach To Designing Customized 3d-Printed Oral Radiation Stents For Patients With Head And Neck Cancer, Anshuman Agrawal, Rance B Tino, Mohamed Zaid, Millicent Roach, Lianchun Xiao, Mark S Chambers, Anna Lee, Eugene J Koay

Faculty, Staff and Student Publications

Background: Oral stents may reduce toxicities during radiation therapy for head and neck cancer (HNC). Customized 3D-printed oral stents offer faster production and achieve comparable patient-reported outcomes to conventionally fabricated stents. However, their design process remains time-consuming, lacks standardization, and relies heavily on skilled technicians. We hypothesized that semi-automating the design process for 3D-printed, mouth-opening, tongue-depressing (MOTD) stents could standardize the design workflow and decrease design time.

Methods: Using oral stent design principles established over decades by oral oncologists, we created a customized computer program (Autostent) using MATLAB to semi-automate the design process of MOTD stents. We subsequently compared Autostent …

Effects Of Residual Pah Exposure From Firefighters’ Skin And Turnout Gear On Biospecimen Microrna Expression, Jooyeon Hwang, Jenny R Gipson, Chao Xu, Timothy Vanwagoner, Xin Xu, Robert J Agnew, Willard M Freeman

Faculty, Staff and Student Publications

Firefighters are routinely exposed to polycyclic aromatic hydrocarbons (PAHs) during fire suppression activities, molecular biomarkers reflecting such exposure remain underexplored. Thus, we explored an integrated exposure assessment framework linking PAH contamination on turnout gear and skin to changes in microRNA (miRNA) expression in skin and blood biospecimens. Our goals are to evaluate the relationship between fire-related PAH exposure and miRNA expression profiles in firefighters, and to identify candidate miRNA biomarkers of occupational exposure. This prospective study enrolled 25 firefighters. PAHs on turnout gear and skin were quantified post-fire using gas chromatography/mass spectrometry. Concurrently, skin tape strips and blood were collected …

Imaging Features Of High-Grade Astrocytoma With Piloid Features: A Single Center Case Series, Heba Al Qudah, Jackson D Hamilton, Maria A Gubbiotti, Ahmed Msherghi, Hamza A Salim, Sahar Alizada, Ho-Ling Liu, Vinodh A Kumar, Max Wintermark, Rami W Eldaya

Faculty, Staff and Student Publications

High-grade astrocytoma with piloid features (HGAP) is a recently described IDH-wildtype tumor with limited literature describing its imaging features. We present our institution's experience and the largest imaging-focused cohort of HGAP reported to date, offering a comprehensive analysis of MRI features of seventeen intracranial and one spinal HGAP, while introducing novel imaging features that have not been previously described. These include focal areas of diffusion restriction, surrounding spiculated, finger-like enhancement and increased perfusion metrics. Additionally, we highlight imaging features of HGAP arising in patients with Neurofibromatosis Type 1, such as intraventricular tumor spread, unusual temporal lobe location and multifocal presentation.

Advancements In Understanding Spasticity: A Neuromusculoskeletal Modeling Perspective, Mohammad S Shourijeh, Argyrios Stampas, Shuo-Hsiu Chang, Radha Korupolu, Gerard E Francisco

Faculty, Staff and Student Publications

Spasticity, a complex consequence of upper motor neuron lesions, poses challenges for clinical assessment due to its neural and mechanical origins. Traditional scales like the Modified Ashworth and Tardieu Scales provide subjective, context-limited insights, often missing spasticity's dynamic nature. Neuromusculoskeletal (NMS) modeling offers objective, quantitative insights by integrating patient-specific muscle-tendon properties, reflex dynamics, and multi-joint biomechanics. This scoping review examines advancements in spasticity modeling, comparing mechanical, neurological, and integrated approaches, and their applications in conditions like cerebral palsy and stroke. We highlight barriers to clinical translation, including computational demands and regulatory challenges, and propose future directions, such as real-time simulation …

Late Morbidity And Mortality In Survivors Of Childhood Ependymoma: A Report From The Childhood Cancer Survivor Study (Ccss), Katharine R Lange, Peter De Blank, Mengqi Xing, Sedigheh Mirzaei, Deo Kumar Srivastava, Kevin Oeffinger, Joseph Neglia, Kevin Krull, Paul C Nathan, Rebecca Howell, Kirsten K Ness, Lucie M Turcotte, Wendy Leisenring, Gregory T Armstrong, Tara Brinkman, Daniel C Bowers, Mehmet Fatih Okcu

Faculty, Staff and Student Publications

Background/objectives: Treatment of childhood ependymoma evolved from 1970 to 1999 by reducing radiation volumes and incorporating chemotherapy. The impact of these changes on long-term health outcomes remains unknown. In this report, we evaluated temporal changes in all-cause and cause-specific late mortality, chronic health conditions (CHCs), and subsequent neoplasms (SNs) in the Childhood Cancer Survivor Study (CCSS) cohort of adult survivors of pediatric ependymoma, diagnosed between 1970 and 1999.

Methods: A total of 404 five-year survivors of ependymoma (47.5% female, 80.7% non-Hispanic White, median 6 (range 0-20) years at diagnosis, 22 (5-49) years from diagnosis) diagnosed between 1970 and 1999 and …

First-Line Met Tyrosine Kinase Inhibitors Versus Immunotherapy ± Chemotherapy For Patients With Met Exon 14 Skipping Mutant Metastatic Nsclc, Federica Pecci, Hui Li, Alessandro Di Federico, Jia Wu, Hong Chen, Eleonora Gariazzo, Francesco Mantuano, Edoardo Garbo, Mihaela Aldea, Valentina Santo, Don Gibbons, Hai Tran, Francesco Paoloni, Guilherme Rossato De Almeida, Giulio Metro, Andrea De Giglio, Francesco Gelsomino, Xinan Wang, Marcello Tiseo, Julia Rotow, Andrea Ardizzoni, J Jack Lee, Mark M Awad, Alfredo Addeo, Lingzhi Hong, Marcelo V Negrao, Pasi A Jänne, John V Heymach, Jianjun Zhang, Biagio Ricciuti, Xiuning Le

Faculty, Staff and Student Publications

Purpose: First-line treatment options for MET exon 14 skipping-mutant metastatic non-small cell lung cancer vary because of differences in drug approvals and clinical experience. This study investigates factors influencing outcomes with first-line MET tyrosine kinase inhibitors (TKI) versus immune checkpoint inhibitors (ICI) ± chemotherapy.

Experimental design: Clinicopathologic data were collected from patients with metastatic MET exon 14 skipping-mutant non-small cell lung cancer treated with first-line MET TKI or ICI ± chemotherapy at five centers. Primary endpoints were real-world progression-free survival (rwPFS) and overall survival (OS) to first-line MET TKI versus ICI ± chemotherapy. Subgroup analyses by clinical and tumor characteristics …

Oligomeric Cystatin C Supports The Immunosuppressive Activity Of Myeloid Cells Through Interaction With Inhibitory Receptors, Chengcheng Zhang, Yubo He, Xiaoye Liu, Jingjing Xie, Meng Fang, Xing Yang, Ryan Huang, Qi Lou, Bufan Li, Ankit Gupta, Cheryl Lewis, Marc I Diamond, Ningyan Zhang, Zhiqiang An, Cheng Cheng Zhang

Faculty, Staff and Student Publications

Amyloid proteins are linked to various diseases; however, their functional roles in immunity and cancer remain unclear. Here, we establish a direct link between oligomeric cystatin C-a cysteine cathepsin inhibitor and a well-characterized amyloidogenic protein-within the tumor microenvironment and the immune inhibitory receptors LILRB2 and LILRB5 on myeloid cells. We demonstrated that human LILRB2 and LILRB5, along with their murine counterpart PIRB, serve as functional receptors for cystatin C oligomers. Engagement of these inhibitory receptors by oligomeric cystatin C enhances the immunosuppressive activity of myeloid cells, leading to T-cell suppression and tumor progression. Deletion of the CST3 gene, which encodes …

Efficacy Of Medical-Legal Partnerships To Address Health-Harming Legal Needs: A Systematic Review Of Experimental Studies In The Field, Jemima John, Thomas Murphy, Emily Zientek, Winston Liaw, Odinakachukwu Dimgba, Thien-An Nguyen, Catherine Burnett, Mary Aitken, Shreela Sharma

Faculty, Staff and Student Publications

Background: Despite the documented success of medical-legal partnerships (MLPs), there is a dearth of robust experimental-based research on their efficacy. This review synthesizes the findings of MLP interventions and identifies opportunities for MLP expansion in vulnerable communities.

Methods: Articles were eligible if they tested the experimental effects of an MLP intervention on health-harming legal needs (HHLNs) and had full text for review. Two reviewers independently screened articles for inclusion and assessed the quality (risk of bias) of each study.

Results: Seven studies were eligible. Populations were largely women, of color, and of lower socioeconomic status. All studies demonstrated positive effects …

Developing A General Ai Model For Integrating Diverse Genomic Modalities And Comprehensive Genomic Knowledge, Zhenhao Zhang, Xinyu Bao, Linghua Jiang, Xin Luo, Zheyu Zhang, Jing Yin, Meiqi Zhao, Yichun Wang, Annelise Comai, Joerg Waldhaus, Anders S Hansen, Wenbo Li, Jie Liu

Faculty, Staff and Student Publications

Advances in next-generation sequencing technologies have vastly expanded the availability of diverse genomic, epigenomic, and transcriptomic data, presenting the opportunity to develop a general AI model that integrates comprehensive genomic knowledge into a unified model. Unlike previous predictive models, which are typically specialized to certain tasks, our general AI model unifies a wide range of genomic modalities, such as nascent RNA and ultra-high-resolution chromatin organization, within a multi-task architecture. Using ATAC-seq and DNA sequences as inputs, we incorporated diverse genomic modalities as output, and the model exhibits strong generalizability across different cell types and tissues in all tasks we trained. …

The Unfolded Protein Response-Novel Mechanisms, Challenges, And Key Considerations For Therapeutic Intervention, P M Quan Mai, Tam-Anh Truong, Sai Kumar Samala, Bhoomika Muruvekere Lakshmisha, Prapannajeet Biswal, Khadijeh Koushki, Prudhvi Chand Mallepaddi, Geraldine Vijay, Sunil Krishnan

Faculty, Staff and Student Publications

Background: The unfolded protein response (UPR) is an evolutionarily conserved, synchronized, and orchestrated process triggered by eukaryotic cells in response to endoplasmic reticulum (ER) stress. UPR restores the ER's capacity to handle large protein loads within it, and still fold and process these proteins accurately. Many recent studies have documented the non-canonical roles of the UPR, outside of protein quality control, in the context of lipid metabolism and the immune system in cancer. Cancer cells have been known to hijack the UPR to promote survival and evade immune surveillance. However, the underlying mechanisms remain poorly understood.

Objectives: Here, we critically …

Primary Intramedullary Spinal Melanocytomas: Case Report And Review Of Clinical Features, Diagnosis, And Management, Gil Kimchi, Samantha Varela, Juan Pablo Zuluaga-Garcia, Francisco Call-Orellana, Esteban Ramirez Ferrer, Romulo Augusto Andrade De Almeida, Maria A Gubbiotti, Isabella C Glitza, Andrew J Bishop, Jonathan D Grant, Robert Y North, Christopher A Alvarez-Breckenridge, Laurence D Rhines, Claudio E Tatsui

Faculty, Staff and Student Publications

Objective: Intramedullary melanocytomas are extremely rare spinal cord tumors with distinct histopathological and imaging characteristics. This report reviews the literature on this pathology and presents a representative case study, highlighting aspects of diagnosis and management.

Methods: A scoping review of PubMed, Web of Science, and Embase databases was conducted to identify reports on intramedullary melanocytomas, focusing on clinical presentation, imaging features, histopathology, treatment, and outcomes. Case reports and case series were included due to the rarity of these tumors.

Results: Twelve manuscripts met the inclusion criteria, including 15 patients. In the majority of patients, intramedullary melanocytomas present with progressive myelopathy …

Implementing Pst In Older Adults Facing Major Surgery: A Randomised Controlled Pilot Study, Victoria Tang, Lejla Pepic, Erika Higuchi, Christina Keny, Elizabeth Macias Lopez, Ezenwa C Onyema, Harleen Sandhu, Veronica Yank, Patrick J Raue

Faculty, Staff and Student Publications

Introduction: Depressive symptoms are common in the growing geriatric surgical population and are associated with important patient-centred surgical outcomes, including postoperative delirium, discharge to postacute care facility and decline in functional status. Few interventions have been developed to address depressive symptoms in the perioperative setting.

Methods and analysis: We designed a feasibility and acceptability study of a nine-session problem-solving therapy (PST) telehealth perioperative intervention aimed at reducing postoperative functional decline and depressive symptoms among at-risk older adults undergoing major surgical procedures. Acceptability will be evaluated using a patient-centred five-question survey, assessing participant satisfaction and perceived usefulness of the perioperative intervention. …

Reprogramming Tumor Microenvironment Via Systemic Delivery Of Tlr3 Agonist And Manganese Nanoparticle, Young Seok Cho, Xingwu Zhou, Xiaoqi Sun, Ziye Wan, Julia Crowther, Mariko Takahashi, Swetha Kodamasimham, Qi Wu, May Thazin Phoo, Youngseo Na, Kai Han, Zaiye Li, Anna Schwendeman, Steven P Schwendeman, Yu Leo Lei, James J Moon

Faculty, Staff and Student Publications

Toll-like receptor (TLR) agonists, as potent immunostimulatory adjuvants, play a critical role in linking the innate and adaptive immune responses. However, their antitumor effects as cancer immunotherapeutic agents have been limited. Here, we report our finding that manganese ion (Mn2+) potentiates various TLR agonists, leading to robust activation of the TLR pathway and the stimulator of interferon genes (STING) pathway among innate immune cells. In particular, we have observed robust antitumor efficacy after intratumoral administration of a TLR3 agonist and Mn2+. To achieve systemic codelivery of TLR3 agonist and Mn2+, we have developed a low-molecular-weight poly(inosinic:cytidylic acid)-Mn2+ coordination lipid nanoparticle …

Reducing Moral Distress Through Interdisciplinary Collaboration: The Impact Of A Weekly Palliative Care And Neonatology Conference, Kirthi Devireddy, Riddhi Shukla, Rachel Boren, James E Slaven, Rebecca A Baker, Jayme D Allen, Karen M Moody

Faculty, Staff and Student Publications

Background: Moral distress is the experience of knowing what ethically right action to take, but being unable to act accordingly, due to external factors. It is an experience common to providers working in the neonatal intensive care unit (NICU) where care for infants, often born at the edges of viability or with other life-limiting diagnoses, includes life and death medical decision-making in the context of uncertain prognoses. Palliative care, which aims to reduce suffering, can assist with staff moral distress by providing space for conversations regarding goals-of-care and end-of-life decision making.

Methods: The palliative care and NICU teams co-developed a …

Hepatic Ischemia-Reperfusion Injury: Underlying Mechanisms And Concepts In Liver Surgery And Liver Transplantation, Jie Zhao, Lidan Hou, Kenneth J Dery, Xiaoyi Yuan, Kang Ho Kim, Jerzy W Kupiec-Weglinski, David R Hall, Caitlin J Thornley, Mark J Hobeika, Holger K Eltzschig, Cynthia Ju

Faculty, Staff and Student Publications

Hepatic ischemia-reperfusion injury (H-IRI) is a critical complication in liver surgery and liver transplantation, contributing to graft dysfunction and poor clinical outcomes. When hepatocyte protective mechanisms are insufficient to counteract energy depletion and oxidative stress during ischemia, cell death occurs. Tissue damage during H-IRI leads to the release of damage-associated molecular patterns (DAMPs), which recruit and activate immune cells such as neutrophils and monocytes, orchestrating the initiation, progression, and eventual resolution of sterile inflammation. Extended criteria donor (ECD) livers, particularly steatotic ones, are more vulnerable to H-IRI, leading to poorer outcomes and limiting expansion of the donor pool. However, the …

Genome-Wide Crispr Screens Identify Critical Targets To Enhance Car-Nk Cell Antitumor Potency, Alexander Biederstädt, Rafet Basar, Jeong-Min Park, Nadima Uprety, Rejeena Shrestha, Francia Reyes Silva, Merve Dede, John Watts, Sunil Acharya, Donghai Xiong, Bin Liu, May Daher, Hind Rafei, Pinaki Banerjee, Ping Li, Sanjida Islam, Huihui Fan, Mayra Shanley, Jingling Jin, Bijender Kumar, Vernikka Woods, Paul Lin, Silvia Tiberti, Ana Karen Nunez Cortes, Xin Ru Jiang, Inci Biederstädt, Patrick Zhang, Ye Li, Seema Rawal, Enli Liu, Luis Muniz-Feliciano, Gary M Deyter, Elizabeth J Shpall, Natalie Wall Fowlkes, Ken Chen, Katayoun Rezvani

Faculty, Staff and Student Publications

Adoptive cell therapy using engineered natural killer (NK) cells is a promising approach for cancer treatment, with targeted gene editing offering the potential to further enhance their therapeutic efficacy. However, the spectrum of actionable genetic targets to overcome tumor and microenvironment-mediated immunosuppression remains largely unexplored. We performed multiple genome-wide CRISPR screens in primary human NK cells and identified critical checkpoints regulating resistance to immunosuppressive pressures. Ablation of MED12, ARIH2, and CCNC significantly improved NK cell antitumor activity against multiple treatment-refractory human cancers in vitro and in vivo. CRISPR editing augmented both innate and CAR-mediated NK cell function, associated with enhanced …

Whole-Exome Sequencing-Based Linkage Analysis Of Multiple Myeloma (Mm) And Monoclonal Gammopathy Of Undetermined Significance (Mgus) Pedigrees, Alyssa I Clay-Gilmour, Nicola J Camp, Xiaomu Wei, Angel Earle, Aaron Norman, Jason Sinnwell, Delphine Demangel, Rosalie Griffin, Charles Dumontet, James Mckay, Ken Offit, Vijai Joseph, Siwei Chen, Daniel O'Brien, Vincent Rajkumar, Robert Klein, Shaji Kumar, Steve Lipkin, Celine M Vachon

Faculty, Staff and Student Publications

Background/objectives: Family history is a known risk factor for multiple myeloma (MM) and its precursor condition, monoclonal gammopathy of undetermined significance (MGUS). Previous genome-wide association studies (GWASs) have identified 35 common loci associated with MM risk and 21 associated with MGUS. The objective of this study was to identify less common and rare genetic loci predisposing to MM/MGUS through whole-exome sequencing (WES)-based linkage analysis.

Methods: Multipoint linkage analysis was conducted using the Multipoint Engine for Rapid Likelihood Inference (MERLIN) with the Lander-Green algorithm on germline WES data from 79 pedigrees with 2 or more affected relatives (120 MM, 86 MGUS, …

Investigating Prognostic Features In High-Grade Serous Ovarian Cancer Through Gene Regulatory Network Inference With Single-Cell Transcriptomic Profiles, Toshiyuki Itai, Yulin Dai, Wendao Liu, Dung-Fang Lee, Zhongming Zhao

Faculty, Staff and Student Publications

This study aimed to identify prognostic features in high-grade serous ovarian cancer (HGSOC) through the application of gene regulatory network (GRN) inference with single-cell RNA-sequencing (scRNA-seq) profiles. To achieve this goal, we developed a workflow comprising scRNA-seq analysis, metacell construction, GRN inference, and a binary classification task for prognosis prediction. We curated 118,173 cells from HGSOC patients in three conditions (Before-chemotherapy, After-chemotherapy, and control samples) from previous studies, and then constructed 1,211 metacells. GRN inference analysis revealed 312 regulons, each consisting of one transcription factor and its targeted features. For prognosis evaluation, we used bulk RNA-seq data covering 342 HGSOC …

Development Of A Targeted Bioprotac Degrader Selective For Misfolded Sod1, Christen G Chisholm, Rachael Bartlett, Mikayla L Brown, Emma-Jayne Proctor, Natalie E Farrawell, Jody Gorman, Fabien Delerue, Lars M Ittner, Kara L Vine-Perrow, Heath Ecroyd, Neil R Cashman, Darren N Saunders, Luke Mcalary, Jeremy S Lum, Justin J Yerbury

Faculty, Staff and Student Publications

The accumulation of misfolded proteins underlies a broad range of neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS). Due to their dynamic nature, these misfolded proteins have proven challenging to target therapeutically. Here, we specifically target misfolded disease variants of the ALS-associated protein superoxide dismutase 1 (SOD1), using a biological proteolysis targeting chimera (BioPROTAC) composed of a SOD1-specific intrabody and an E3 ubiquitin ligase. Screening of intrabodies and E3 ligases for optimal BioPROTAC construction reveals a candidate capable of degrading multiple disease variants of SOD1, preventing their aggregation in cells. Using CRISPR/Cas9 technology to develop a BioPROTAC transgenic mouse line, we …

Peripheral Microvascular And Cerebral White Matter Dysfunction In Schizophrenia: Implications Of A Body-Brain Endothelial Pathophysiology, Eric L Goldwaser, Alexa Yuen, Wyatt Marshall, Bhim M Adhikari, Joshua Chiappelli, Andrew Van Der Vaart, Mark Kvarta, Yizhou Ma, Xiaoming Du, Si Gao, Heather Bruce, Patrick Donnelly, Braxton Mitchell, Charles Hong, Danny J J Wang, Peter Kochunov, L Elliot Hong

Faculty, Staff and Student Publications

Background and hypothesis: Schizophrenia spectrum disorder (SSD) is a chronic neuropsychiatric illness accompanied by significant brain structural and functional abnormalities and higher rate of cardio- and cerebrovascular comorbidities. We hypothesized that genetic and environmental risk factors that led to SSD act throughout the body and demonstrated the association between lower integrity of peripheral vascular endothelium and white matter (WM) microstructure.

Study design: Microvascular endothelial function was evaluated using brachial artery post-occlusive reactive hyperemia (PORH), in which endothelial responses are measured under reduced blood flow and after blood flow is restored. White matter microstructure was assessed by multi-shell diffusion tensor imaging …

Use And Reporting Of Intervention Mapping For Adaptation: A Systematic Review Protocol, Eunyoung Kang, Hugo R Sánchez-Blas, Elizabeth O Obekpa, Maria E Fernandez

Faculty, Staff and Student Publications

Introduction: Intervention adaptation is likely to occur to some extent when implementing interventions in new implementation contexts. Using systematic frameworks can guide intentional and effective adaptation processes. Intervention Mapping for Adaptation (IM-ADAPT) is a framework that offers step-by-step guidance for systematic, theory-based intervention adaptation. Despite the increasing use of IM-ADAPT, there is limited understanding of the contexts in which it has been applied and how effectively it is used and reported. Addressing this knowledge gap can improve current adaptation practices and inform future enhancements of the IM-ADAPT framework and the broader science of intervention adaptation. This review aims to (1) …