Biomedical Informatics Commons^™

Genevic: Genetic Data Exploration And Visualization Via Intelligent Interactive Console, Anindita Nath, Savannah Mwesigwa, Yulin Dai, Xiaoqian Jiang, Zhongming Zhao

Faculty, Staff and Student Publications

The vast generation of genetic data poses a significant challenge in efficiently uncovering valuable knowledge. Introducing GENEVIC, an AI-driven chat framework that tackles this challenge by bridging the gap between genetic data generation and biomedical knowledge discovery. Leveraging generative AI, notably ChatGPT, it serves as a biologist’s “copilot.” It automates the analysis, retrieval, and visualization of customized domain-specific genetic information, and integrates functionalities to generate protein interaction networks, enrich gene sets, and search scientific literature from PubMed, Google Scholar, and arXiv, making it a comprehensive tool for biomedical research. In its pilot phase, GENEVIC is assessed using a curated database …

Antiangiogenic Tyrosine Kinase Inhibitors Have Differential Efficacy In Clear Cell Renal Cell Carcinoma In Bone, Stefan Maksimovic, Nina C Boscolo, Ludovica La Posta, Sergio Barrios, Mohammad Jad Moussa, Emanuela Gentile, Pedro I Pesquera, Wenjiao Li, Jianfeng Chen, Javier A Gomez, Akshay Basi, Jared K Burks, Christopher Alvarez-Breckenridge, Jianjun Gao, Matthew T Campbell, Eleonora Dondossola

Faculty, Staff and Student Publications

Clear cell renal cell carcinoma (ccRCC) is the most prevalent kidney neoplasm; bone metastasis (BM) develops in 35% to 40% of metastatic patients and results in substantial morbidity and mortality, as well as medical costs. A key feature of ccRCC is the loss of function of the von Hippel-Lindau protein, which enhances angiogenesis via vascular endothelial growth factor release. Consequently, antiangiogenic tyrosine kinase inhibitors (TKI) emerged as a treatment for ccRCC. However, limited data about their efficacy in BM is available, and no systematic comparisons have been performed. We developed mouse models of bone and lung ccRCC tumors and compared …

Imageable Radioembolization Microspheres For Treatment Of Unresectable Hepatocellular Carcinoma: Interim Results From A First-In-Human Trial, Robert J Abraham, Aravind Arepally, David Liu, Robert Lewandowski, S Cheenu Kappadath, Amit Verma, David Dobrowski, Andrew Holden

Faculty, Staff and Student Publications

Purpose: To determine 6-month interim safety, effectiveness, and multimodal imageability of imageable glass microsphere yttrium-90 (90Y) radioembolization for unresectable hepatocellular carcinoma (HCC) in a first-in-human trial.

Materials and methods: Imageable microspheres (Eye90 Microspheres; ABK Biomedical, Halifax, Nova Scotia, Canada), a U.S. Food and Drug Administration (FDA) Breakthrough-Designated Device consisting of glass radiopaque 90Y microspheres visible on computed tomography (CT) and single photon emission CT (SPECT), were used to treat 6 subjects with unresectable HCC. Patients underwent selective (≤2 segments) treatment in a prospective open-label pilot trial. Key inclusion criteria included liver-only HCC, performance status ≤1, total lesion diameter ≤9 cm, …

Columbia-1: A Randomised Study Of Durvalumab Plus Oleclumab In Combination With Chemotherapy And Bevacizumab In Metastatic Microsatellite-Stable Colorectal Cancer, Neil H Segal, Jeanne Tie, Scott Kopetz, Michel Ducreux, Eric Chen, Rodrigo Dienstmann, Antoine Hollebecque, Matthew J Reilley, Elena Elez, Jan Cosaert, Jason Cain, Yee Soo-Hoo, Nicola Hewson, Zachary A Cooper, Rakesh Kumar, Josep Tabernero

Faculty, Staff and Student Publications

Background: To determine whether the addition of durvalumab (anti-PD-L1) and oleclumab (anti-CD73) to standard-of-care treatment (FOLFOX and bevacizumab) enhances the anti-tumour effect in patients with metastatic colorectal cancer (mCRC).

Methods: COLUMBIA-1 (NCT04068610) was a Phase Ib (feasibility; Part 1)/Phase II (randomised; Part 2) trial in patients with treatment-naïve microsatellite stable mCRC. Patients in Part 2 were randomised to receive standard-of-care (control arm) or standard-of-care plus durvalumab and oleclumab (experimental arm). Primary objectives included safety and efficacy.

Results: Seven patients were enrolled in Part 1 and 52 in Part 2 (n = 26 in each arm). Grade ≥3 treatment-emergent …

Unlocking Ferroptosis In Prostate Cancer – The Road To Novel Therapies And Imaging Markers, Pham Hong Anh Cao, Abishai Dominic, Fabiola Ester Lujan, Sanjanaa Senthilkumar, Pratip K Bhattacharya, Daniel E Frigo, Elavarasan Subramani

Faculty, Staff and Student Publications

Ferroptosis is a distinct form of regulated cell death that is predominantly driven by the build-up of intracellular iron and lipid peroxides. Ferroptosis suppression is widely accepted to contribute to the pathogenesis of several tumours including prostate cancer. Results from some studies reported that prostate cancer cells can be highly susceptible to ferroptosis inducers, providing potential for an interesting new avenue of therapeutic intervention for advanced prostate cancer. In this Perspective, we describe novel molecular underpinnings and metabolic drivers of ferroptosis, analyse the functions and mechanisms of ferroptosis in tumours, and highlight prostate cancer-specific susceptibilities to ferroptosis by connecting ferroptosis …

Radiation-Induced Lymphopenia Is A Causal Mediator Of Survival After Chemoradiation Therapy For Esophagus Cancer, Yiqing Chen, Yan Chu, Peter S N Van Rossum, Clemens Grassberger, Steven H Lin, Radhe Mohan, Brian P Hobbs

Faculty, Staff and Student Publications

PURPOSE: Radiation-induced lymphopenia (RIL) is common during chemoradiation therapy. Severe lymphopenia is associated with reduced survival. Proton beam therapy (PBT), with its substantially more compact dose distributions, spares circulating lymphocytes and immune organs at risk to a greater extent than photon therapy. Recent studies comparing PBT to photon radiation therapy, specifically intensity-modulated radiation therapy (IMRT) for esophageal cancer (EC), showed that the incidence of grade 4 RIL (G4RIL) is significantly reduced among patients receiving PBT for EC. However, whether the extent of this reduction has a direct causative link with improved survival is unknown. This study applies causal mediation analysis …

Exploring Age And Gender Disparities In Cardiometabolic Phenotypes And Lipidomic Signatures Among Chinese Adults: A Nationwide Cohort Study, Xiaojing Jia, Hong Lin, Ruizhi Zheng, Shuangyuan Wang, Yilan Ding, Chunyan Hu, Mian Li, Yu Xu, Min Xu, Guixia Wang, Lulu Chen, Tianshu Zeng, Ruying Hu, Zhen Ye, Lixin Shi, Qing Su, Yuhong Chen, Xuefeng Yu, Li Yan, Tiange Wang, Zhiyun Zhao, Guijun Qin, Qin Wan, Gang Chen, Meng Dai, Di Zhang, Bihan Qiu, Xiaoyan Zhu, Jie Zheng, Xulei Tang, Zhengnan Gao, Feixia Shen, Xuejiang Gu, Zuojie Luo, Yingfen Qin, Li Chen, Xinguo Hou, Yanan Huo, Qiang Li, Yinfei Zhang, Chao Liu, Youmin Wang, Shengli Wu, Tao Yang, Huacong Deng, Jiajun Zhao, Yiming Mu, Shenghan Lai, Donghui Li, Weiguo Hu, Guang Ning, Weiqing Wang, Yufang Bi, Jieli Lu, 4c Study Group

Faculty, Staff and Student Publications

Understanding sex disparities in modifiable risk factors across the lifespan is essential for crafting individualized intervention strategies. We aim to investigate age-related sex disparity in cardiometabolic phenotypes in a large nationwide Chinese cohort. A total of 254,670 adults aged 40 years or older were selected from a population-based cohort in China. Substantial sex disparities in the prevalence of metabolic diseases were observed across different age strata, particularly for dyslipidemia and its components. Generalized additive models were employed to characterize phenotype features, elucidating how gender differences evolve with advancing age. Half of the 16 phenotypes consistently exhibited no sex differences, while …

A Scoping Review Of Rule-Based Clinical Decision Support Malfunctions, Jeritt G Thayer, Amy Franklin, Jeffrey M Miller, Robert W Grundmeier, Deevakar Rogith, Adam Wright

Faculty, Staff and Student Publications

Objective: Conduct a scoping review of research studies that describe rule-based clinical decision support (CDS) malfunctions.

Materials and methods: In April 2022, we searched three bibliographic databases (MEDLINE, CINAHL, and Embase) for literature referencing CDS malfunctions. We coded the identified malfunctions according to an existing CDS malfunction taxonomy and added new categories for factors not already captured. We also extracted and summarized information related to the CDS system, such as architecture, data source, and data format.

Results: Twenty-eight articles met inclusion criteria, capturing 130 malfunctions. Architectures used included stand-alone systems (eg, web-based calculator), integrated systems (eg, best practices alerts), and …

Inhibition Of Hepatic Oxalate Overproduction Ameliorates Metabolic Dysfunction-Associated Steatohepatitis, Sandeep Das, Alexandra C Finney, Sumit Kumar Anand, Sumati Rohilla, Yuhao Liu, Nilesh Pandey, Alia Ghrayeb, Dhananjay Kumar, Kelley Nunez, Zhipeng Liu, Fabio Arias, Ying Zhao, Brenna H Pearson-Gallion, M Peyton Mckinney, Koral S E Richard, Jose A Gomez-Vidal, Chowdhury S Abdullah, Elizabeth D Cockerham, Joseph Eniafe, Andrew D Yurochko, Tarek Magdy, Christopher B Pattillo, Christopher G Kevil, Babak Razani, Md Shenuarin Bhuiyan, Erin H Seeley, Gretchen E Galliano, Bo Wei, Lin Tan, Iqbal Mahmud, Ida Surakka, Minerva T Garcia-Barrio, Philip L Lorenzi, Eyal Gottlieb, Eduardo Salido, Jifeng Zhang, A Wayne Orr, Wanqing Liu, Monica Diaz-Gavilan, Y Eugene Chen, Nirav Dhanesha, Paul T Thevenot, Ari J Cohen, Arif Yurdagul, Oren Rom

Faculty, Staff and Student Publications

The incidence of metabolic dysfunction-associated steatohepatitis (MASH) is on the rise, and with limited pharmacological therapy available, identification of new metabolic targets is urgently needed. Oxalate is a terminal metabolite produced from glyoxylate by hepatic lactate dehydrogenase (LDHA). The liver-specific alanine-glyoxylate aminotransferase (AGXT) detoxifies glyoxylate, preventing oxalate accumulation. Here we show that AGXT is suppressed and LDHA is activated in livers from patients and mice with MASH, leading to oxalate overproduction. In turn, oxalate promotes steatosis in hepatocytes by inhibiting peroxisome proliferator-activated receptor-α (PPARα) transcription and fatty acid β-oxidation and induces monocyte chemotaxis via C-C motif chemokine ligand 2. In …

Does Time To Initiation Of Adjuvant Radiotherapy Affect Reconstruction Outcomes After Endoscopic Resection Of Skull Base Malignancies?, Franco Rubino, Bledi Brahimaj, Ehab Y Hanna, Shirley Y Su, Jack Phan, David R Grosshans, Franco Demonte, Shaan M Raza

Faculty, Staff and Student Publications

Introduction and Objective It is unclear if the length of the time interval to initiation of adjuvant radiation therapy (RT) after endoscopic endonasal surgery affects reconstruction outcomes. In this study we present our experience with adjuvant RT after endoscopic endonasal procedures, to determine if the time to RT after surgery impacts post-RT reconstruction complication rates.

Methods A retrospective cohort study of 164 patients who underwent endoscopic endonasal surgery between 1998 and 2021 was conducted. Using Cox proportional hazard ratios (HRs), we evaluated several variables and the complications that occurred during the 1-year period after starting RT.

Results Seventy-eight (47.5%) and …

Drugformer: Graph-Enhanced Language Model To Predict Drug Sensitivity, Xiaona Liu, Qing Wang, Minghao Zhou, Yanfei Wang, Xuefeng Wang, Xiaobo Zhou, Qianqian Song

Faculty, Staff and Student Publications

Drug resistance poses a crucial challenge in healthcare, with response rates to chemotherapy and targeted therapy remaining low. Individual patient's resistance is exacerbated by the intricate heterogeneity of tumor cells, presenting significant obstacles to effective treatment. To address this challenge, DrugFormer, a novel graph-augmented large language model designed to predict drug resistance at single-cell level is proposed. DrugFormer integrates both serialized gene tokens and gene-based knowledge graphs for the accurate predictions of drug response. After training on comprehensive single-cell data with drug response information, DrugFormer model presents outperformance, with higher F1, precision, and recall in predicting drug response. Based on …

Tcellsi: A Novel Method For T Cell State Assessment And Its Applications In Immune Environment Prediction, Jing-Min Yang, Nan Zhang, Tao Luo, Mei Yang, Wen-Kang Shen, Zhen-Lin Tan, Yun Xia, Libin Zhang, Xiaobo Zhou, Qian Lei, An-Yuan Guo

Faculty, Staff and Student Publications

T cell is an indispensable component of the immune system and its multifaceted functions are shaped by the distinct T cell types and their various states. Although multiple computational models exist for predicting the abundance of diverse T cell types, tools for assessing their states to characterize their degree of resting, activation, and suppression are lacking. To address this gap, a robust and nuanced scoring tool called T cell state identifier (TCellSI) leveraging Mann-Whitney

Temporal Recording Of Mammalian Development And Precancer, Mirazul Islam, Yilin Yang, Alan J Simmons, Vishal M Shah, Krushna Pavan Musale, Yanwen Xu, Naila Tasneem, Zhengyi Chen, Linh T Trinh, Paola Molina, Marisol A Ramirez-Solano, Iannish D Sadien, Jinzhuang Dou, Andrea Rolong, Ken Chen, Mark A Magnuson, Jeffrey C Rathmell, Ian G Macara, Douglas J Winton, Qi Liu, Hamim Zafar, Reza Kalhor, George M Church, Martha J Shrubsole, Robert J Coffey, Ken S Lau

Faculty, Staff and Student Publications

Temporal ordering of cellular events offers fundamental insights into biological phenomena. Although this is traditionally achieved through continuous direct observations1,2, an alternative solution leverages irreversible genetic changes, such as naturally occurring mutations, to create indelible marks that enables retrospective temporal ordering3–5. Using a multipurpose, single-cell CRISPR platform, we developed a molecular clock approach to record the timing of cellular events and clonality in vivo, with incorporation of cell state and lineage information. Using this approach, we uncovered precise timing of tissue-specific cell expansion during mouse embryonic development, unconventional developmental relationships between cell …

Cellular Prion Protein Acts As Mediator Of Amyloid Beta Uptake By Caveolin-1 Causing Cellular Dysfunctions In Vitro And In Vivo, Angela Da Silva Correia, Matthias Schmitz, Anna-Lisa Fischer, Susana Da Silva Correia, Franco L Simonetti, Gesine Saher, Roberto Goya-Maldonado, Amandeep Singh Arora, Andre Fischer, Tiago F Outeiro, Inga Zerr

Faculty, Staff and Student Publications

Introduction: Cellular prion protein (PrPC) was implicated in amyloid beta (Aβ)-induced toxicity in Alzheimer's disease (AD), but the precise molecular mechanisms involved in this process are unclear.

Methods: Double transgenic mice were generated by crossing Prnp knockout (KO) with 5xFAD mice, and light-sheet microscopy was used for whole brain tissue analyses. PrPC-overexpressing cells were developed for in vitro studies, and microscopy was used to assess co-localization of proteins of interest. Surface-plasmon resonance (SPR) was used to investigate protein-binding characteristics.

Results: In vivo, PrPC levels correlated with reduced lifespan and cognitive and motor function, and its ablation disconnected behavior deficits from …

A Single-Cell Atlas Of The Murine Pancreatic Ductal Tree Identifies Novel Cell Populations With Potential Implications In Pancreas Regeneration And Exocrine Pathogenesis, Ángel Fernández, Joan Casamitjana, Adrián Holguín-Horcajo, Katarina Coolens, Loris Mularoni, Li Guo, Olga Hartwig, Tim Düking, Noemi Vidal, Lincoln N Strickland, Lorenzo Pasquali, Jennifer M Bailey-Lundberg, Ilse Rooman, Yue J Wang, Meritxell Rovira

Faculty, Staff and Student Publications

Background & aims: Pancreatic ducts form an intricate network of tubules that secrete bicarbonate and drive acinar secretions into the duodenum. This network is formed by centroacinar cells, terminal, intercalated, intracalated ducts, and the main pancreatic duct. Ductal heterogeneity at the single-cell level has been poorly characterized; therefore, our understanding of the role of ductal cells in pancreas regeneration and exocrine pathogenesis has been hampered by the limited knowledge and unexplained diversity within the ductal network.

Methods: We used single cell RNA sequencing to comprehensively characterize mouse ductal heterogeneity at single-cell resolution of the entire ductal epithelium from centroacinar cells …

The Five Homologous Ciar-Controlled Ccn Srnas Of Streptococcus Pneumoniae Modulate Zn-Resistance, Nicholas R De Lay, Nidhi Verma, Dhriti Sinha, Abigail Garrett, Maximillian K Osterberg, Daisy Porter, Spencer Reiling, David P Giedroc, Malcolm E Winkler

Faculty, Staff and Student Publications

Zinc is a vital transition metal for all bacteria; however, elevated intracellular free Zn levels can result in mis-metalation of Mn-dependent enzymes. For Mn-centric bacteria such as Streptococcus pneumoniae that primarily use Mn instead of Fe as an enzyme cofactor, Zn is particularly toxic at high concentrations. Here, we report our identification and characterization of the function of the five homologous, CiaRH-regulated Ccn sRNAs in controlling S. pneumoniae virulence and metal homeostasis. We show that deletion of all five ccn genes (ccnA, ccnB, ccnC, ccnD, and ccnE) from S. pneumoniae strains D39 (serotype 2) and TIGR4 (serotype 4) causes Zn …

Targeting The Epidermal Growth Factor Receptor Pathway In Chemotherapy-Resistant Triple-Negative Breast Cancer: A Phase Ii Study, Clinton Yam, Miral Patel, Holly A Hill, Ryan Sun, Roland L Bassett, Elisabeth Kong, Senthil Damodaran, Kimberly B Koenig, Sausan Abouharb, Sadia Saleem, Ajit K Bisen, Rashmi K Murthy, David L Ramirez, Gaiane M Rauch, Beatriz E Adrada, Rosalind P Candelaria, Xiaoping Wang, Elizabeth A Mittendorf, Alastair M Thompson, Jason B White, Elizabeth E Ravenberg, Alyson R Clayborn, Qing-Qing Ding, Daniel J Booser, Oluchi Oke, Abenaa M Brewster, Gabriel N Hortobagyi, Nuhad K Ibrahim, Jennifer K Litton, Vicente Valero, Banu K Arun, Debu Tripathy, Jeffrey T Chang, Ken Chen, Anil Korkut, Stacy L Moulder, Lei Huo, Bora Lim, Naoto T Ueno

Faculty, Staff and Student Publications

Purpose: Epidermal growth factor receptor (EGFR) pathway activation causes chemotherapy resistance, and inhibition of the EGFR pathway sensitizes triple-negative breast cancer (TNBC) cells to chemotherapy in preclinical models. Given the high prevalence of EGFR overexpression in TNBC, we conducted a single-arm phase II study of panitumumab (anti-EGFR monoclonal antibody), carboplatin, and paclitaxel as the second phase of neoadjuvant therapy (NAT) in patients with doxorubicin and cyclophosphamide (AC)-resistant TNBC (NCT02593175).

Patients and methods: Patients with early-stage, AC-resistant TNBC, defined as disease progression or ≤80% reduction in tumor volume after four cycles of AC, were eligible for this study and …

Tools And Recommendations For Commissioning And Quality Assurance Of Deformable Image Registration In Radiotherapy, Lando S Bosma, Mohammad Hussein, Michael G Jameson, Soban Asghar, Kristy K Brock, Jamie R Mcclelland, Sara Poeta, Johnson Yuen, Cornel Zachiu, Adam U Yeo

Faculty, Staff and Student Publications

Multiple tools are available for commissioning and quality assurance of deformable image registration (DIR), each with their own advantages and disadvantages in the context of radiotherapy. The selection of appropriate tools should depend on the DIR application with its corresponding available input, desired output, and time requirement. Discussions were hosted by the ESTRO Physics Workshop 2021 on Commissioning and Quality Assurance for DIR in Radiotherapy. A consensus was reached on what requirements are needed for commissioning and quality assurance for different applications, and what combination of tools is associated with this. For commissioning, we recommend the target registration error of …

A Protein Expression Atlas On Tissue Samples And Cell Lines From Cancer Patients Provides Insights Into Tumor Heterogeneity And Dependencies, Jun Li, Wei Liu, Kamalika Mojumdar, Hong Kim, Zhicheng Zhou, Zhenlin Ju, Shwetha V Kumar, Patrick Kwok-Shing Ng, Han Chen, Michael A Davies, Yiling Lu, Rehan Akbani, Gordon B Mills, Han Liang

Faculty, Staff and Student Publications

The Cancer Genome Atlas (TCGA) and the Cancer Cell Line Encyclopedia (CCLE) are foundational resources in cancer research, providing extensive molecular and phenotypic data. However, large-scale proteomic data across various cancer types for these cohorts remain limited. Here, we expand upon our previous work to generate high-quality protein expression data for approximately 8,000 TCGA patient samples and around 900 CCLE cell line samples, covering 447 clinically relevant proteins, using reverse-phase protein arrays. These protein expression profiles offer profound insights into intertumor heterogeneity and cancer dependency and serve as sensitive functional readouts for somatic alterations. We develop a systematic protein-centered strategy …

Molecular Landscape Of Erbb2 Alterations In 3000 Advanced Nsclc Patients, Lingzhi Hong, Sonia Patel, Leylah M Drusbosky, Yuanyuan Xiong, Rongrong Chen, Ruixuan Geng, Simon Heeke, Monique Nilsson, Jia Wu, John V Heymach, Yingyi Wang, Jianjun Zhang, Xiuning Le

Faculty, Staff and Student Publications

ERBB2 (HER2) represents a newly recognized actionable oncogenic driver in non-small cell lung cancer (NSCLC), with approved targeted therapy available. Understanding the landscape of ERBB2 alterations and co-occurring mutations is essential for guiding treatment decisions. We conducted an analysis involving 3000 NSCLC patients with all types of ERBB2 alterations, drawn from two extensive retrospective cohorts: 1281 from Geneplus (Chinese) and 1719 from Guardant360 (the United States, US). The incidence of all types of ERBB2 alterations was found to be 5.6% in the Chinese group and 5.2% in the US group. In both cohorts, among oncogenic alterations of ERBB2, exon 20 …

Autonomic Dysfunction Among Adult Survivors Of Childhood Cancer In The St Jude Lifetime Cohort Study, John D Groarke, Kirsten K Ness, Rikeenkumar Dhaduk, Juan C Plana, Jean Bernard Durand, Russell V Luepker, Vijaya M Joshi, Matthew Ehrhardt, Daniel A Mulrooney, Stephanie B Dixon, Anju Nohria, Daniel M Green, Rebecca M Howell, Deo Kumar Srivastava, John L Jefferies, Leslie L Robison, Melissa M Hudson, Gregory T Armstrong

Faculty, Staff and Student Publications

Background: The burden and functional significance of autonomic dysfunction among survivors of childhood cancer is unknown.

Objectives: We evaluated the prevalence, risk factors, and functional relevance of autonomic dysfunction in survivors.

Methods: We conducted a cross-sectional prospective evaluation of 1,041 adult survivors of childhood cancer treated with anthracyclines (31.1%), chest-directed radiation (13.5%), both (19.5%), or neither (35.9%), and 286 community control subjects enrolled in the SJLIFE (St Jude Lifetime Cohort Study). Four measures of autonomic dysfunction were evaluated: elevated resting heart rate, decreased heart rate reserve, decreased systolic blood pressure response to exercise, and delayed heart rate recovery. Logistic regression …

Development Of An Engineered Extracellular Vesicles-Based Vaccine Platform For Combined Delivery Of Mrna And Protein To Induce Functional Immunity, Xin Luo, Kathleen M Mcandrews, Kent A Arian, Sami J Morse, Viktoria Boeker, Shreyasee V Kumbhar, Yingying Hu, Krishnan K Mahadevan, Kaira A Church, Sriram Chitta, Nicolas T Ryujin, Janine Hensel, Jianli Dai, Dara P Dowlatshahi, Hikaru Sugimoto, Michelle L Kirtley, Valerie S Lebleu, Shabnam Shalapour, Joe H Simmons, Raghu Kalluri

Faculty, Staff and Student Publications

mRNA incorporated in lipid nanoparticles (LNPs) became a new class of vaccine modality for induction of immunity against COVID-19 and ushered in a new era in vaccine development. Here, we report a novel, easy-to-execute, and cost effective engineered extracellular vesicles (EVs)-based combined mRNA and protein vaccine platform (EVX-M+P vaccine) and explore its utility in proof-of-concept immunity studies in the settings of cancer and infectious disease. As a first example, we engineered EVs, natural nanoparticle carriers shed by all cells, to contain ovalbumin mRNA and protein (EVOvaM+P vaccine) to serve as cancer vaccine against ovalbumin-expressing melanoma tumors. EVOvaM+P administration to mice …

High Throughput And Rapid Isolation Of Extracellular Vesicles And Exosomes With Purity Using Size Exclusion Liquid Chromatography, Kshipra S Kapoor, Kristen Harris, Kent A Arian, Lihua Ma, Beatriz Schueng Zancanela, Kaira A Church, Kathleen M Mcandrews, Raghu Kalluri

Faculty, Staff and Student Publications

Extracellular vesicles (EVs) have emerged as potential biomarkers for diagnosing a range of diseases without invasive procedures. Extracellular vesicles also offer advantages compared to synthetic vesicles for delivery of various drugs; however, limitations in segregating EVs from other particles and soluble proteins have led to inconsistent EV retrieval rates with low levels of purity. Here, we report a new high-yield (88.47 %) and rapid (< 20 min) EV isolation method termed size exclusion - fast protein liquid chromatography (SE-FPLC). We show SE-FPLC can effectively isolate EVs from multiple sources including EVs derived from human and mouse cells and serum samples. The results indicate that SE-FPLC can successfully remove highly abundant protein contaminants such as albumin and lipoprotein complexes, which can represent a major hurdle in large scale isolation of EVs. The high-yield nature of SE-FPLC allows for easy industrial scaling up of EV production for various clinical utilities. SE-FPLC also enables analysis of small volumes of blood for use in point-of-care diagnostics in the clinic. Collectively, SE-FPLC offers many advantages over current EV isolation methods and offers rapid clinical translation.

Development And Clinical Implementation Of A Digital Workflow Utilizing 3d-Printed Oral Stents For Patients With Head And Neck Cancer Receiving Radiotherapy, Rance Tino, Millicent A Roach, Gabriela D Fuentes, Anshuman Agrawal, Mohamed Zaid, Dylan J Cooper, Nimit Bajaj, Ruitao Lin, Lianchun Xiao, Lauren L Mayo, Lee R Wiederhold, Shalin J Shah, Molly K Tate, Gregory M Chronowski, Jay P Reddy, Megan Mezera, Justin M Mann, Mark Augspurger, Adegbenga O Otun, Mark S Chambers, Eugene J Koay

Faculty, Staff and Student Publications

Objectives: We describe the development of 3D-printed stents using our digital workflow and their effects on patients enrolled in the lead-in phase of a multi-center, randomized Phase-II trial.

Materials and methods: Digital dental models were created for patients using intraoral scanning. Digital processes were implemented to develop the mouth-opening, tongue-depressing, and tongue-lateralizing stents using stereolithography. Time spent and material 3D-printing costs were measured. Physicians assessed mucositis using the Oral Mucositis Assessment Scale (OMAS) and collected MD Anderson Symptom Inventory (MDASI) reports and adverse events (AEs) from patients at various time points (TPs). OMAS and MDASI results were evaluated using paired …

Oculomics Analysis In Multiple Sclerosis: Current Ophthalmic Clinical And Imaging Biomarkers, Alex Suh, Gilad Hampel, Aditya Vinjamuri, Joshua Ong, Sharif Amit Kamran, Ethan Waisberg, Phani Paladugu, Nasif Zaman, Prithul Sarker, Alireza Tavakkoli, Andrew G Lee

Faculty, Staff and Student Publications

Multiple Sclerosis (MS) is a chronic autoimmune demyelinating disease of the central nervous system (CNS) characterized by inflammation, demyelination, and axonal damage. Early recognition and treatment are important for preventing or minimizing the long-term effects of the disease. Current gold standard modalities of diagnosis (e.g., CSF and MRI) are invasive and expensive in nature, warranting alternative methods of detection and screening. Oculomics, the interdisciplinary combination of ophthalmology, genetics, and bioinformatics to study the molecular basis of eye diseases, has seen rapid development through various technologies that detect structural, functional, and visual changes in the eye. Ophthalmic biomarkers (e.g., tear composition, …

Improving Access In Medical Physics Residency Programs For Physicists With Disabilities, Jessica M Fagerstrom, Grace Eliason, Hania Al-Hallaq, Brian A Taylor, Muhammad Ramish Ashraf, Natalie Viscariello

Faculty, Staff and Student Publications

Within the landscape of medical physics education, residency programs are instrumental in imparting hands-on training and experiential knowledge to early-career physicists. Ensuring access to educational opportunities for physicists with disabilities is a legal, ethical, and pragmatic requirement for programs, considering that a significant proportion of the United States population has a disability. Grounded in conceptual frameworks of competency-based medical education and the social model of disability, this work provides an introduction to some practical recommendations for medical physics residency programs. Strategies include embracing universal design principles, fostering partnerships with disability service offices, using inclusive language, developing and publicizing clear procedures …

Identification Of Molecular Signatures In Epicardial Adipose Tissue In Heart Failure With Preserved Ejection Fraction, Shan He, Lei Zhao, Jianjun Zhang, Xinchun Yang, Huagang Zhu

Faculty, Staff and Student Publications

AIMS: The molecular signatures in epicardial adipose tissue (EAT) that contribute to the pathogenesis of heart failure with preserved ejection fraction (HFpEF) are poorly characterized. In this study, we sought to elucidate molecular signatures including genetic transcripts and long non-coding RNAs (lncRNAs) in EAT that might modulate HFpEF development.

METHODS: RNA sequencing (RNA-seq) was performed to identify differentially expressed lncRNAs and mRNAs in EAT samples from patients with HFpEF (n = 5) and without HF (control, n = 5) who underwent coronary artery bypass grafting. The sequencing results were validated using quantitative real-time PCR (qRT-PCR). Bioinformatics analysis (Gene Ontology and …

Multi-Modal Segmentation With Missing Image Data For Automatic Delineation Of Gross Tumor Volumes In Head And Neck Cancers, Yao Zhao, Xin Wang, Jack Phan, Xinru Chen, Anna Lee, Cenji Yu, Kai Huang, Laurence E Court, Tinsu Pan, He Wang, Kareem Abdul Wahid, Abdalah S R Mohamed, Mohamed Naser, Clifton D Fuller, Jinzhong Yang

Faculty, Staff and Student Publications

Background: Head and neck (HN) gross tumor volume (GTV) auto-segmentation is challenging due to the morphological complexity and low image contrast of targets. Multi-modality images, including computed tomography (CT) and positron emission tomography (PET), are used in the routine clinic to assist radiation oncologists for accurate GTV delineation. However, the availability of PET imaging may not always be guaranteed.

Purpose: To develop a deep learning segmentation framework for automated GTV delineation of HN cancers using a combination of PET/CT images, while addressing the challenge of missing PET data.

Methods: Two datasets were included for this study: Dataset I: 524 (training) …

Social Determinants Of Health And Surgical Desirability Of Outcome Ranking In Older Veterans, Michael A Jacobs, Yubo Gao, Susanne Schmidt, Paula K Shireman, Michael Mader, Carly A Duncan, Leslie R M Hausmann, Karyn B Stitzenberg, Lillian S Kao, Mary Vaughan Sarrazin, Daniel E Hall

Faculty, Staff and Student Publications

Importance: Evaluating how social determinants of health (SDOH) influence veteran outcomes is crucial, particularly for quality improvement.

Objective: To measure associations between SDOH, care fragmentation, and surgical outcomes using a Desirability of Outcome Ranking (DOOR).

Design, setting, and participants: This was a cohort study of US veterans using data from the Veterans Affairs (VA) Surgical Quality Improvement Program (VASQIP; 2013-2019) limited to patients aged 65 years or older with inpatient stays between 2 and 30 days, merged with multiple data sources, including Medicare. Race and ethnicity data were retrieved from VASQIP, Medicare and Medicaid beneficiary summary files, the Veterans Health …

Optical Genome Mapping Improves The Accuracy Of Classification, Risk Stratification, And Personalized Treatment Strategies For Patients With Acute Myeloid Leukemia, Sanam Loghavi, Qing Wei, Farhad Ravandi, Andres E Quesada, Mark J Routbort, Shimin Hu, Gokce A Toruner, Sa A Wang, Wei Wang, Roberto N Miranda, Shaoying Li, Jie Xu, Courtney D Dinardo, Naval Daver, Tapan M Kadia, Ghayas C Issa, Hagop M Kantarjian, L Jeffrey Medeiros, Guilin Tang

Faculty, Staff and Student Publications

Cytogenomic characterization is crucial for the classification and risk stratification of acute myeloid leukemia (AML), thereby facilitating therapeutic decision-making. We examined the clinical utility of optical genome mapping (OGM) in 159 AML patients (103 newly diagnosed and 56 refractory/relapsed), all of whom also underwent chromosomal banding analysis (CBA), fluorescence in situ hybridization, and targeted next-generation sequencing. OGM detected nearly all clinically relevant cytogenetic abnormalities that SCG identified with >99% sensitivity, provided the clonal burden was above 20%. OGM identified additional cytogenomic aberrations and/or provided information on fusion genes in 77 (48%) patients, including eight patients with normal karyotypes and four …