Biomedical Informatics Commons^™

Real-World Neoadjuvant And Adjuvant Trastuzumab-Containing Regimen Patterns And Their Association With Survival Among Patients With Operable Her2-Positive Breast Cancer From 2007 To 2021, Hui Zhao, Chan Shen, Jaime J Laureano, Xiudong Lei, Jiangong Niu, Sharon H Giordano, Mariana Chavez-Macgregor

Faculty, Staff and Student Publications

Purpose: Chemotherapy in combination with trastuzumab is the standard neoadjuvant and adjuvant therapy for human epidermal growth factor receptor 2 (HER2)-positive breast cancer (BC). Assessing the regimens administered to patients with HER2-positive BC in the real world is lacking. We evaluated neoadjuvant and adjuvant regimen patterns among HER2-positive BC patients (2007 to 2021) identified in a health insurance claims database.

Methods: Female BC patients ≥ 18 years who received chemotherapy, surgery, and trastuzumab were chosen from Optum's de-identified Clinformatics® Data Mart database. Summary statistics, Joinpoint models, Kaplan-Meier survival curves, and Cox regression models were used to analyze the data.

Results: …

Pexidartinib And Standard Neoadjuvant Therapy In The Adaptively Randomized I-Spy2 Trial For Early Breast Cancer, Hope S Rugo, Mike Campbell, Christina Yau, A Jo Chien, Anne M Wallace, Claudine Isaacs, Judy C Boughey, Hyo S Han, Meredith Buxton, Julia L Clennell, Smita M Asare, Katherine Steeg, Amy Wilson, Ruby Singhrao, Jeffrey B Matthews, Jane Perlmutter, W Fraser Symmans, Nola M Hylton, Angela M Demichele, Douglas Yee, Laura J Van't Veer, Donald A Berry, Laura J Esserman

Faculty, Staff and Student Publications

Purpose: We investigated the small-molecule receptor tyrosine kinase-inhibitor of colony-stimulating factor-1 receptor pexidartinib in the stage II/III breast cancer in the I-SPY2 platform trial.

Methods: I-SPY2 is an adaptive platform trial that features multiple arms of experimental agents administered on a background of standard neoadjuvant therapy with paclitaxel and adriamycin/cyclophosphamide, followed by definitive surgery. The adaptive randomization engine preferentially assigns patients based upon cumulative performance of each agent in a given breast cancer subtype based on hormone receptor and HER2 receptor status. The study endpoint is pathologic complete response.

Results: A total of 9 participants were randomized to receive pexidartinib …

Decoding Cancer Etiology With Cellular Reprogramming, Mo-Fan Huang, Megan E Fisher, Trinh T T Phan, Ruiying Zhao, Dung-Fang Lee

Faculty, Staff and Student Publications

Cancer research remains clinically unmet in many areas due to limited access to patient samples and the lack of reliable model systems that truly reflect human cancer biology. The emergence of patient-derived induced pluripotent stem cells and engineered human pluripotent stem cells (hPSCs) has helped overcome these challenges, offering a versatile alternative platform for advancing cancer research. These hPSCs are already proving to be valuable models for studying specific cancer driver mutations, offering insights into cancer origins, pathogenesis, tumor heterogeneity, clonal evolution, and facilitating drug discovery and testing. This article reviews recent progress in utilizing hPSCs for clinically relevant cancer …

Chemoresistance-Motility Signature Of Molecular Evolution To Chemotherapy In Non-Muscle-Invasive Bladder Cancer And Its Clinical Implications, Mi-So Jeong, Seung-Woo Baek, Gi-Eun Yang, Jeong-Yeon Mun, Jeong Ah Kim, Tae-Nam Kim, Jong-Kil Nam, Yung-Hyun Choi, Ju-Seog Lee, In-Sun Chu, Sun-Hee Leem

Faculty, Staff and Student Publications

Non-muscle-invasive bladder cancer (NMIBC) often recurs and can progress to MIBC due to resistance to treatments like intravesical chemotherapy or Bacillus Calmette-Guérin (BCG). Therefore, we established the Gemcitabine-Resistant Cells (GRCs) to study the molecular evolution under external pressure. A 63-gene Chemoresistance-Motility (CrM) signature was created to identify stage-specific traits of GRCs. This signature was tested on 1846 samples using log-rank tests and Cox regression to evaluate clinical utility. Early and intermediate resistance stages showed increased cell motility and metastatic potential. FAK, PI3K-AKT, and TGFβ pathways were activated first, followed by MAPK signaling. Single-cell analysis and experiments utilizing the CrM signature …

Imaging Lung Tumor Motion Using Integrated-Mode Proton Radiography-A Phantom Study Towards Tumor Tracking In Proton Radiotherapy, Ryan Fullarton, Mikaël Simard, Lennart Volz, Allison Toltz, Savanna Chung, Christoph Schuy, Daniel G Robertson, Gary Royle, Sam Beddar, Colin Baker, Christian Graeff, Charles-Antoine Collins-Fekete

Faculty, Staff and Student Publications

BACKGROUND: Motion of lung tumors during radiotherapy leads to decreased accuracy of the delivered dose distribution. This is especially true for proton radiotherapy due to the finite range of the proton beam. Methods for mitigating motion rely on knowing the position of the tumor during treatment.

PURPOSE: Proton radiography uses the treatment beam, at an energy high enough to traverse the patient, to produce a radiograph. This work shows the first results of using an integrated-mode proton radiography system to track the position of moving objects in an experimental phantom study; demonstrating the potential of using this method for measuring …

Rapidbrachyivbt: A Dosimetry Software For Patient-Specific Intravascular Brachytherapy Dose Calculations On Optical Coherence Tomography Images, Maryam Rahbaran, Jonathan Kalinowski, Joseph M Decunha, Kevin J Croce, Brian A Bergmark, James M G Tsui, Phillip M Devlin, Shirin A Enger

Faculty, Staff and Student Publications

Background: Coronary artery disease is the most common form of cardiovascular disease. It is caused by excess plaque along the arterial wall, blocking blood flow to the heart (stenosis). A percutaneous coronary intervention widens the arterial wall with the inflation of a balloon inside the lesion area and leaves behind a metal stent to prevent re-narrowing of the artery (restenosis). However, in-stent restenosis may occur due to damage to the arterial wall tissue, triggering neointimal hyperplasia, producing fibrotic and calcified plaques and narrowing the artery again. Drug-eluting stents, which slowly release medication to inhibit neointimal hyperplasia, are used to prevent …

Outcomes Of Patients With Treated Secondary Acute Myeloid Leukemia: A High-Risk Subtype That Warrants An Independent Prognostic Designation, Jayastu Senapati, Hagop M Kantarjian, Fadi G Haddad, Nicholas J Short, Gautam Borthakur, Rashmi Kanagal-Shamanna, Guilin Tang, Elias Jabbour, Courtney D Dinardo, Naval Daver, Guillermo Montalban-Bravo, Vishrut Shah, Amin Alousi, Elizabeth Shpall, Uday Popat, Guillermo Garcia-Manero, Farhad Ravandi, Tapan M Kadia

Faculty, Staff and Student Publications

Patients who develop acute myeloid leukemia (AML) after having received treatment for myelodysplastic syndrome (MDS) or related conditions have particularly poor outcomes. This study analyzed adult patients with newly diagnosed AML who previously had MDS, chronic myelomonocytic leukemia (CMML), or MDS/myeloproliferative neoplasm (MPN) overlap syndrome, and who had received hypomethylating agents, chemotherapy, and/or allogeneic stem cell transplantation (HSCT) for these antecedent disorders. From January 2012 to August 2023, we included 673 patients with a median age of 70 years (range, 19-94); 536 (80%) had transformed from MDS, and the remainder from CMML or MDS-MPN. Additionally, 149 patients (22%) had prior …

Frailty And Sleep In Adult Survivors Of Childhood Cancer: A Childhood Cancer Survivor Study Report, Lauren C Daniel, Margaret M Lubas, Huiqi Wang, Mariana Szklo-Coxe, Kirsten K Ness, Annalynn M Williams, Daniel A Mulrooney, Rebecca Howell, Wendy Leisenring, Yutaka Yasui, Leslie L Robison, Gregory T Armstrong, Eric J Chow, Kevin R Krull, Tara M Brinkman

Faculty, Staff and Student Publications

Background: Young adult survivors of childhood cancer exhibit rates of frailty similar to adults several decades older without a cancer history. Frailty has been associated with sleep disturbances in non-cancer populations, but the relationship has not been examined in childhood cancer survivors who are known to exhibit elevated rates of sleep problems.

Aims: Examine associations between frailty and poor sleep quality in long-term survivors of childhood cancer.

Methods: This study utilized data from 9044 participants (> 5 years from diagnosis, Mage = 40.8 years [SD = 9.5]) in the Childhood Cancer Survivor Study. Survivors' frailty status, chronic health conditions (CHC), …

Mutational And Co-Mutational Landscape Of Early Onset Colorectal Cancer, Jumanah Yousef Alshenaifi, Guglielmo Vetere, Giulia Maddalena, Mahmoud Yousef, Michael G White, John Paul Shen, Eduardo Vilar, Christine Parseghian, Arvind Dasari, Van Karlyle Morris, Ryan Huey, Michael J Overman, Robert Wolff, Kanwal P Raghav, Jason Willis, Kristin Alfaro, Andy Futreal, Y Nancy You, Scott Kopetz

Faculty, Staff and Student Publications

Introduction: Colorectal cancer (CRC) incidence and mortality before 50 have been rising alarmingly in the recent decades.

Methods: Using a cohort of 10,000 patients, this study investigates the clinical, mutational, and co-mutational features of CRC in early-onset (EOCRC, < 50 years) compared to late-onset (LOCRC, ≥ 50 years).

Results: EOCRC was associated with a higher prevalence of Asian and Hispanic patients, rectal or left-sided tumors (72% vs. 59%), and advanced-stage disease. Molecular analyses revealed differences in mutation patterns, with EOCRC having higher frequencies of TP53 (74% vs. 68%, p < 0.01) and SMAD4 (17% vs. 14%, p = 0.015), while BRAF (5% vs. 11%, p < 0.001) and NOTCH1 (2.7% vs. 4.1%, p = 0.01) mutations …

Rapid Whole Genome Sequencing Uncovers A Triple Diagnosis: X-Linked Chondrodysplasia Punctata, Mecp2-Related Disorder, And Mosaic Jacobs Syndrome, Megan Samuels, Kathleen Shields, Paul Hillman, Laura Farach

Faculty, Staff and Student Publications

Background: Rapid Whole Genome Sequencing (rWGS) is increasingly being used in neonatal intensive care units, as there is growing evidence that rare singe gene disorders present in the neonatal period and early identification can change management. While the diagnostic utility is increased with this broad testing, the possibility of unexpected findings also increases significantly. Here, we present a patient found to have three distinct genetic conditions through rWGS testing, with significant psychosocial and health consequences.

Methods and results: This case report describes a patient who was identified with a form of chondrodysplasia punctata, as well as incidental findings of MECP2-related …

Preclinical And Clinical-Scale Magnetic Particle Imaging Of Natural Killer Cells: In Vitro And Ex Vivo Demonstration Of Cellular Sensitivity, Resolution, And Quantification, Olivia C Sehl, Yanwen Yang, Ariana R Anjier, Dmitry Nevozhay, Donghang Cheng, Kelvin Guo, Benjamin Fellows, Abdul Rahman Mohtasebzadeh, Erica E Mason, Toby Sanders, Petrina Kim, David Trease, Dimpy Koul, Patrick W Goodwill, Konstantin Sokolov, Max Wintermark, Nancy Gordon, Joan M Greve, Vidya Gopalakrishnan

Faculty, Staff and Student Publications

Purpose: Clinical adoption of NK cell immunotherapy is underway for medulloblastoma and osteosarcoma, however there is currently little feedback on cell fate after administration. We propose magnetic particle imaging (MPI) may have applications for the quantitative detection of NK cells.

Procedures: Human-derived NK-92 cells were labeled by co-incubation with iron oxide nanoparticles (VivoTrax™) for 24 h then excess nanoparticles were washed with centrifugation. Cytolytic activity of labeled versus unlabeled NK-92 cells was assessed after 4 h of co-incubation with medulloblastoma cells (DAOY) or osteosarcoma cells (LM7 or OS17). Labeled NK-92 cells at two different doses (0.5 or 1 × 106) …

Toward A Biological Definition Of Neuronal And Glial Synucleinopathies, Claudio Soto, Brit Mollenhauer, Oskar Hansson, Un Jung Kang, Roy N Alcalay, David Standaert, Claudia Trenkwalder, Kenneth Marek, Douglas Galasko, Kathleen Poston

Faculty, Staff and Student Publications

Cerebral accumulation of alpha-synuclein (αSyn) aggregates is the hallmark event in a group of neurodegenerative diseases-collectively called synucleinopathies-which include Parkinson's disease, dementia with Lewy bodies and multiple system atrophy. Currently, these are diagnosed by their clinical symptoms and definitively confirmed postmortem by the presence of αSyn deposits in the brain. Here, we summarize the drawbacks of the current clinical definition of synucleinopathies and outline the rationale for moving toward an earlier, biology-anchored definition of these disorders, with or without the presence of clinical symptoms. We underscore the utility of the αSyn seed amplification assay to detect aggregated αSyn in living …

Refining Diagnostic Subtypes Of Peripheral T-Cell Lymphoma Using A Multiparameter Approach, Catalina Amador, Dennis D Weisenburger, Ana Gomez, Alyssa Bouska, Ahmad Alshomrani, Sunandini Sharma, Ab Rauf Shah, Timothy C Greiner, Francisco Vega, Andreas Rosenwald, German Ott, Andrew L Feldman, Elaine S Jaffe, Neval Ozkaya, Sarah L Ondrejka, James R Cook, Philipp W Raess, Kerry J Savage, Graham W Slack, Joo Y Song, David W Scott, Elias Campo, Lisa M Rimsza, Joseph D Khoury, Louis M Staudt, Wing C Chan, Javeed Iqbal

Faculty, Staff and Student Publications

Peripheral T-cell lymphoma (PTCL) is a heterogeneous category, and many cases are unclassifiable and designated as PTCL-not otherwise specified (PTCL-NOS). Gene expression profiling (GEP) has delineated two prognostic subtypes within PTCL-NOS, PTCL-TBX21, and PTCL-GATA3, characterized by distinctive transcriptomes and a different prognosis. To further evaluate the pathologic features of these subgroups, 101 PTCL cases that did not meet specific criteria for well-defined T-cell lymphoma entities underwent detailed pathologic, immunophenotypic (including TFH biomarkers) and GEP analyses, separating them into PTCL-NOS (n=63) and PTCL-TFH (a.k.a. nodal PTCL-TFH, NOS, and TFH lymphoma, NOS) (n=38). PTCL-NOS cases were further categorized into PTCL-GATA3 (n=22; 34%) …

Respiratory Syncytial Virus Disease Burden And Nirsevimab Effectiveness In Young Children From 2023-2024, Heidi L Moline, Ariana P Toepfer, Ayzsa Tannis, Geoffrey A Weinberg, Mary A Staat, Natasha B Halasa, Julie A Boom, Eileen J Klein, John V Williams, Jennifer E Schuster, Leah Goldstein, Erin R Mckeever, Casey Kalman, Clinton Paden, Lydia Atherton, Megha Aggarwal, Pavitra Roychoudhury, Pedro A Piedra, Leila C Sahni, Laura S Stewart, Rangaraj Selvarangan, Marian G Michaels, Elizabeth P Schlaudecker, Peter G Szilagyi, Janet A Englund, Benjamin R Clopper, Natalie J Thornburg, Gordana Derado, Meredith L Mcmorrow, Fatimah S Dawood, New Vaccine Surveillance Network Collaborators

Faculty, Staff and Students Publications

Importance: During the 2023-2024 respiratory syncytial virus (RSV) season in the United States, 2 new RSV prevention products were recommended to protect infants in their first RSV season: nirsevimab and Pfizer's maternal RSV vaccine. Postlicensure studies are needed to assess prevention product impact and effectiveness.

Objective: To compare the epidemiology and disease burden of medically attended RSV-associated acute respiratory illness (ARI) among children younger than 5 years during the 2023-2024 RSV season with 3 prepandemic RSV seasons (2017-2020), estimate nirsevimab effectiveness against medically attended RSV-associated ARI, and compare nirsevimab binding site mutations among circulating RSV in infants with and without …

Association Of Serum Endocannabinoid Levels With Pancreatitis And Pancreatitis-Related Pain, Marc T Goodman, Christina Lombardi, Alexa Torrens, Catherine Bresee, Jami L Saloman, Liang Li, Yunlong Yang, William E Fisher, Evan L Fogel, Christopher E Forsmark, Darwin L Conwell, Phil A Hart, Walter G Park, Mark Topazian, Santhi S Vege, Stephen K Van Den Eeden, Melena D Bellin, Dana K Andersen, Jose Serrano, Dhiraj Yadav, Stephen J Pandol, Daniele Piomelli

Faculty, Staff and Student Publications

No abstract provided.

A Statistical Framework For Multi-Trait Rare Variant Analysis In Large-Scale Whole-Genome Sequencing Studies, Xihao Li, Han Chen, Margaret Sunitha Selvaraj, Eric Van Buren, Hufeng Zhou, Yuxuan Wang, Ryan Sun, Zachary R Mccaw, Zhi Yu, Min-Zhi Jiang, Daniel Dicorpo, Sheila M Gaynor, Rounak Dey, Donna K Arnett, Emelia J Benjamin, Joshua C Bis, John Blangero, Eric Boerwinkle, Donald W Bowden, Jennifer A Brody, Brian E Cade, April P Carson, Jenna C Carlson, Nathalie Chami, Yii-Der Ida Chen, Joanne E Curran, Paul S De Vries, Myriam Fornage, Nora Franceschini, Barry I Freedman, Charles Gu, Nancy L Heard-Costa, Jiang He, Lifang Hou, Yi-Jen Hung, Marguerite R Irvin, Robert C Kaplan, Sharon L R Kardia, Tanika N Kelly, Iain Konigsberg, Charles Kooperberg, Brian G Kral, Changwei Li, Yun Li, Honghuang Lin, Ching-Ti Liu, Ruth J F Loos, Michael C Mahaney, Lisa W Martin, Rasika A Mathias, Braxton D Mitchell, May E Montasser, Alanna C Morrison, Take Naseri, Kari E North, Nicholette D Palmer, Patricia A Peyser, Bruce M Psaty, Susan Redline, Alexander P Reiner, Stephen S Rich, Colleen M Sitlani, Jennifer A Smith, Kent D Taylor, Hemant K Tiwari, Ramachandran S Vasan, Satupa'itea Viali, Zhe Wang, Jennifer Wessel, Lisa R Yanek, Bing Yu, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Josée Dupuis, James B Meigs, Paul L Auer, Laura M Raffield, Alisa K Manning, Kenneth M Rice, Jerome I Rotter, Gina M Peloso, Pradeep Natarajan, Zilin Li, Zhonghua Liu, Xihong Lin

Faculty, Staff and Student Publications

Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over single-trait analysis, and also detect pleiotropic genes and regions. Existing multi-trait methods have limited ability to perform rare variant analysis of large-scale WGS data. We propose MultiSTAAR, a statistical framework and computationally scalable analytical pipeline for functionally informed multi-trait rare variant analysis in large-scale WGS studies. MultiSTAAR accounts for relatedness, population structure and correlation among phenotypes by jointly analyzing multiple …

Emapalumab Treatment In Patients With Rheumatologic Disease-Associated Hemophagocytic Lymphohistiocytosis In The United States: A Retrospective Medical Chart Review Study, Shanmuganathan Chandrakasan, Carl E Allen, Deepika Bhatla, John Carter, May Chien, Robert Cooper, Lauren Draper, Olive S Eckstein, Rabi Hanna, J Allyson Hays, Michelle L Hermiston, Ashley P Hinson, Patricia M Hobday, Michael S Isakoff, Michael B Jordan, Jennifer W Leiding, Renee Modica, Taizo A Nakano, Abiola Oladapo, Sachit A Patel, Priti Pednekar, Mona Riskalla, Susmita N Sarangi, Prakash Satwani, Anand Tandra, Kelly J Walkovich, John D Yee, Adi Zoref-Lorenz, Edward M Behrens

Faculty, Staff and Students Publications

Objective: Rheumatologic disease-associated hemophagocytic lymphohistiocytosis (HLH), a rare, life-threatening, systemic hyperinflammatory syndrome, occurs as a complication of underlying rheumatologic disease. Real-world evidence is lacking on emapalumab, a fully human monoclonal antibody that neutralizes the proinflammatory cytokine interferon-γ, approved for treating patients with primary HLH.

Methods: REAL-HLH, a retrospective medical chart review study conducted across 33 US hospitals, assessed real-world treatment patterns and outcomes in patients with HLH treated with one or more dose of emapalumab between November 20, 2018, and October 31, 2021. Data are presented for the subset of patients with rheumatologic disease-associated HLH.

Results: Fifteen of 105 patients …

Enhancing Immunotherapy Efficacy With Synergistic Low-Dose Radiation In Metastatic Melanoma: Current Insights And Prospects, Zahid Rafiq, Mingyo Kang, Hampartsoum B Barsoumian, Gohar S Manzar, Yun Hu, Carola Leuschner, Ailing Huang, Fatemeh Masrorpour, Weiqin Lu, Nahum Puebla-Osorio, James W Welsh

Faculty, Staff and Student Publications

Recent advances in oncology research have highlighted the promising synergy between low-dose radiation therapy (LDRT) and immunotherapies, with growing evidence highlighting the unique benefits of the combination. LDRT has emerged as a potent tool for stimulating the immune system, triggering systemic antitumor effects by remodeling the tumor microenvironment. Notably, LDRT demonstrates remarkable efficacy even in challenging metastatic sites such as the liver (uveal) and brain (cutaneous), particularly in advanced melanoma stages. The increasing interest in utilizing LDRT for secondary metastatic sites of uveal, mucosal, or cutaneous melanomas underscores its potential efficacy in combination with various immunotherapies. This comprehensive review traverses …

Deep Learning-Based Auto-Segmentation For Liver Yttrium-90 Selective Internal Radiation Therapy, Jun Li, Wookjin Choi, Rani Anne

Department of Radiation Oncology Faculty Papers

The aim was to evaluate a deep learning-based auto-segmentation method for liver delineation in Y-90 selective internal radiation therapy (SIRT). A deep learning (DL)-based liver segmentation model using the U-Net3D architecture was built. Auto-segmentation of the liver was tested in CT images of SIRT patients. DL auto-segmented liver contours were evaluated against physician manually-delineated contours. Dice similarity coefficient (DSC) and mean distance to agreement (MDA) were calculated. The DL-model-generated contours were compared with the contours generated using an Atlas-based method. Ratio of volume (RV, the ratio of DL-model auto-segmented liver volume to manually-delineated liver volume), and ratio of activity (RA, …

Overcoming Cd226-Related Immune Evasion In Acute Myeloid Leukemia With Cd38 Car-Engineered Nk Cells, Luciana Melo Garcia, Achintyan Gangadharan, Pinaki Banerjee, Ye Li, Andy G X Zeng, Hind Rafei, Paul Lin, Bijender Kumar, Sunil Acharya, May Daher, Luis Muniz-Feliciano, Gary M Deyter, Gabriel Dominguez, Jeong Min Park, Francia Reyes Silva, Ana Karen Nunez Cortes, Rafet Basar, Nadima Uprety, Mayra Shanley, Mecit Kaplan, Enli Liu, Elizabeth J Shpall, Katayoun Rezvani

Faculty, Staff and Student Publications

CD226 plays a vital role in natural killer (NK) cell cytotoxicity, interacting with its ligands CD112 and CD155 to initiate immune synapse formation, primarily through leukocyte function-associated-1 (LFA-1). Our study examined the role of CD226 in NK cell surveillance of acute myeloid leukemia (AML). NK cells in patients with AML had lower expression of CD226. CRISPR-Cas9 deletion of CD226 led to reduced LFA-1 recruitment, poor synapse formation, and decreased NK cell anti-leukemic activity. Engineering NK cells to express a chimeric antigen receptor targeting the AML antigen CD38 (CAR38) could overcome the need for CD226 to establish strong immune synapses. LFA-1 …

Trmt1l-Catalyzed M22g27 On Tyrosine Trna Is Required For Efficient Mrna Translation And Cell Survival Under Oxidative Stress, Sseu-Pei Hwang, Han Liao, Katherine Barondeau, Xinyi Han, Cassandra Herbert, Hunter Mcconie, Amirtha Shekar, Dimitri G Pestov, Patrick A Limbach, Jeffrey T Chang, Catherine Denicourt

Faculty, Staff and Student Publications

tRNA modifications are critical for several aspects of their functions, including decoding, folding, and stability. Using a multifaceted approach encompassing eCLIP-seq and nanopore tRNA-seq, we show that the human tRNA methyltransferase TRMT1L interacts with the component of the Rix1 ribosome biogenesis complex and binds to the 28S rRNA as well as to a subset of tRNAs. Mechanistically, we demonstrate that TRMT1L is responsible for catalyzing N2,N2-dimethylguanosine (m22G) solely at position 27 of tRNA-Tyr-GUA. Surprisingly, TRMT1L depletion also impaired the deposition of 3-(3-amino-3-carboxypropyl) uridine (acp3U) and dihydrouridine on tRNA-Tyr-GUA, Cys-GCA, and Ala-CGC. TRMT1L knockout cells have a marked decrease in tRNA-Tyr-GUA …

Development And Validation Of Natural Language Processing Algorithms In The Enact National Electronic Health Record Research Network, Yanshan Wang, Jordan Hilsman, Chenyu Li, Michele Morris, Paul M Heider, Sunyang Fu, Min Ji Kwak, Andrew Wen, Joseph R Applegate, Liwei Wang, Elmer Bernstam, Hongfang Liu, Jack Chang, Daniel R Harris, Alexandria Corbeau, Darren Henderson, John D Osborne, Richard E Kennedy, Nelly-Estefanie Garduno-Rapp, Justin F Rousseau, Chao Yan, You Chen, Mayur B Patel, Tyler J Murphy, Bradley A Malin, Chan Mi Park, Jungwei W Fan, Sunghwan Sohn, Sandeep Pagali, Yifan Peng, Aman Pathak, Yonghui Wu, Zongqi Xia, Salvatore Loguercio, Steven E Reis, Shyam Visweswaran

Faculty, Staff and Student Publications

Electronic health record (EHR) data are a rich and invaluable source of real-world clinical information, enabling detailed insights into patient populations, treatment outcomes, and healthcare practices. The availability of large volumes of EHR data are critical for advancing translational research and developing innovative technologies such as artificial intelligence. The Evolve to Next-Gen Accrual to Clinical Trials (ENACT) network, established in 2015 with funding from the National Center for Advancing Translational Sciences (NCATS), aims to accelerate translational research by democratizing access to EHR data for all Clinical and Translational Science Awards (CTSA) hub investigators. The present ENACT network provides access to …

Statistical Identification Of Cell Type-Specific Spatially Variable Genes In Spatial Transcriptomics, Lulu Shang, Peijun Wu, Xiang Zhou

Faculty, Staff and Student Publications

An essential task in spatial transcriptomics is identifying spatially variable genes (SVGs). Here, we present Celina, a statistical method for systematically detecting cell type-specific SVGs (ct-SVGs)-a subset of SVGs exhibiting distinct spatial expression patterns within specific cell types. Celina utilizes a spatially varying coefficient model to accurately capture each gene's spatial expression pattern in relation to the distribution of cell types across tissue locations, ensuring effective type I error control and high power. Celina proves powerful compared to existing methods in single-cell resolution spatial transcriptomics and stands as the only effective solution for spot-resolution spatial transcriptomics. Applied to five real …

Urine Proteomics Defines An Immune Checkpoint-Associated Nephritis Signature, James P Long, Shailbala Singh, Yanlan Dong, Cassian Yee, Jamie S Lin

Faculty, Staff and Student Publications

Immune checkpoint inhibitor (ICI) therapy is a cornerstone treatment for many cancers, but it can induce severe immunotoxicity, including acute interstitial nephritis (AIN). Currently, kidney biopsy is required to differentiate ICI-AIN from other causes of acute kidney injury (AKI). However, this invasive approach can lead to morbidity, delayed glucocorticoid treatment for patients with AIN, and unnecessarily prolonged suspension of ICI therapy in non-AIN patients. Delayed or incorrect diagnosis of ICI-AIN is particularly detrimental, as over 50% of patients are at risk of permanent renal damage. Thus, there is an urgent need for non-invasive biomarkers that can rapidly and accurately distinguish …

Spatial Transcriptome Reveals Histology-Correlated Immune Signature Learnt By Deep Learning Attention Mechanism On H&E-Stained Images For Ovarian Cancer Prognosis, Chun Wai Ng, Kwong-Kwok Wong, Barrett C Lawson, Sammy Ferri-Borgogno, Samuel C Mok

Faculty, Staff and Student Publications

Background: The ability to predict the prognosis of patients with ovarian cancer can greatly improve disease management. However, the knowledge on the mechanism of the prediction is limited. We sought to deconvolute the attention feature learnt by a deep learning convolutional neural networks trained with whole-slide images (WSIs) of hematoxylin-and-eosin (H&E)-stained tumor samples using spatial transcriptomic data.

Methods: In this study, 773 WSIs of H&E-stained tumor sections from 335 patients with treatment naïve high-grade serous ovarian cancer who were included in The Cancer Genome Atlas (TCGA) Pan-Cancer study were used to train, and validate, and to test a ResNet101 CNN …

Joint Fluid Multi-Omics Improves Diagnostic Confidence During Evaluation Of Children With Presumed Septic Arthritis, Yolanda Peña-López, Naureen G Tareen, Bo Zhang, Indu Raman, Carlos A Arana, Chengsong Zhu, Yang Liu, Pratibha Selvakumar, Nicolai S C Van Oers, Simrat Morris, Lora V Hooper, Lawson A B Copley, Prithvi Raj

Faculty, Staff and Student Publications

Background: An accurate diagnosis of septic versus reactive or autoimmune arthritis remains clinically challenging. A multi-omics strategy comprising metagenomic and proteomic technologies were undertaken for children diagnosed with presumed septic arthritis to advance clinical diagnoses and care for affected individuals.

Methods: Twelve children with suspected septic arthritis were prospectively enrolled to compare standard of care tests with a rapid multi-omics approach. The multi-omics combined bacterial 16S rRNA metagenomics, single cell transcriptomics, and proteomics on knee joint fluid specimens. The diagnostic value of the multi-omics was ascertained relative to standard of care culture and PCR-negative results.

Results: Ten children with suspected …

Inhibition Of Vascular Smooth Muscle Cell Perk/Atf4 Er Stress Signaling Protects Against Abdominal Aortic Aneurysms, Brennan Callow, Xiaobing He, Nicholas Juriga, Kevin D Mangum, Amrita Joshi, Xianying Xing, Andrea Obi, Abhijnan Chattopadhyay, Dianna M Milewicz, Mary X O'Riordan, Johann Gudjonsson, Katherine Gallagher, Frank M Davis

Faculty, Staff and Student Publications

Abdominal aortic aneurysms (AAA) are a life-threatening cardiovascular disease for which there is a lack of effective therapy preventing aortic rupture. During AAA formation, pathological vascular remodeling is driven by vascular smooth muscle cell (VSMC) dysfunction and apoptosis, for which the mechanisms regulating loss of VSMCs within the aortic wall remain poorly defined. Using single-cell RNA-Seq of human AAA tissues, we identified increased activation of the endoplasmic reticulum stress response pathway, PERK/eIF2α/ATF4, in aortic VSMCs resulting in upregulation of an apoptotic cellular response. Mechanistically, we reported that aberrant TNF-α activity within the aortic wall induces VSMC ATF4 activation through the …

Stratification System With Dual Human Endogenous Retroviruses For Predicting Immunotherapy Efficacy In Metastatic Clear-Cell Renal Cell Carcinoma, Xiaofan Lu, Yann-Alexandre Vano, Xiaoping Su, Virginie Verkarre, Cheng-Ming Sun, Wenxuan Cheng, Li Xu, Fangrong Yan, Salma Kotti, Wolf Hervé Fridman, Catherine Sautes-Fridman, Stéphane Oudard, Gabriel G Malouf

Faculty, Staff and Student Publications

Background: Endogenous retrovirus (ERV) elements are genomic footprints of ancestral retroviral infections within the human genome. While the dysregulation of ERV transcription has been linked to immune cell infiltration in various cancers, its relationship with immune checkpoint inhibitor (ICI) response in solid tumors, particularly metastatic clear-cell renal cell carcinoma (ccRCC), remains inadequately explored.

Methods: This study analyzed patients with metastatic ccRCC from two prospective clinical trials, encompassing 181 patients receiving nivolumab in the CheckMate trials (-009 to -010 and -025) and 48 patients treated with the ipilimumab-nivolumab combination in the BIONIKK trial. ERV expression was quantified using the ERVmap algorithm …

A Deconvolution Framework That Uses Single-Cell Sequencing Plus A Small Benchmark Data Set For Accurate Analysis Of Cell Type Ratios In Complex Tissue Samples, Shuai Guo, Xiaoqian Liu, Xuesen Cheng, Yujie Jiang, Shuangxi Ji, Qingnan Liang, Andrew Koval, Yumei Li, Leah A Owen, Ivana K Kim, Ana Aparicio, Sanghoon Lee, Anil K Sood, Scott Kopetz, John Paul Shen, John N Weinstein, Margaret M Deangelis, Rui Chen, Wenyi Wang

Faculty, Staff and Student Publications

Bulk deconvolution with single-cell/nucleus RNA-seq data is critical for understanding heterogeneity in complex biological samples, yet the technological discrepancy across sequencing platforms limits deconvolution accuracy. To address this, we utilize an experimental design to match inter-platform biological signals, hence revealing the technological discrepancy, and then develop a deconvolution framework called DeMixSC using this well-matched, that is, benchmark, data. Built upon a novel weighted nonnegative least-squares framework, DeMixSC identifies and adjusts genes with high technological discrepancy and aligns the benchmark data with large patient cohorts of matched-tissue-type for large-scale deconvolution. Our results using two benchmark data sets of healthy retinas and …

Real-Time Cbct Imaging And Motion Tracking Via A Single Arbitrarily-Angled X-Ray Projection By A Joint Dynamic Reconstruction And Motion Estimation (Dreme) Framework, Hua-Chieh Shao, Tielige Mengke, Tinsu Pan, You Zhang

Faculty, Staff and Student Publications

Objective: Real-time cone-beam computed tomography (CBCT) provides instantaneous visualization of patient anatomy for image guidance, motion tracking, and online treatment adaptation in radiotherapy. While many real-time imaging and motion tracking methods leveraged patient-specific prior information to alleviate under-sampling challenges and meet the temporal constraint (< 500 ms), the prior information can be outdated and introduce biases, thus compromising the imaging and motion tracking accuracy. To address this challenge, we developed a framework dynamic reconstruction and motion estimation (DREME) for real-time CBCT imaging and motion estimation, without relying on patient-specific prior knowledge.

Approach: DREME incorporates a deep learning-based real-time CBCT imaging and motion estimation method into a dynamic CBCT reconstruction framework. The reconstruction framework reconstructs a dynamic sequence of CBCTs in a data-driven manner from a standard pre-treatment scan, without requiring patient-specific prior knowledge. Meanwhile, a convolutional neural network-based motion encoder is jointly trained during the reconstruction …