Digital Commons Network^™

Germline Predisposition In Hematologic Malignancies: Testing, Management, And Implications, Lucy A Godley, Courtney D Dinardo, Kelly Bolton

Faculty, Staff and Student Publications

Although numerous barriers for clinical germline cancer predisposition testing exist, the increasing recognition of deleterious germline DNA variants contributing to myeloid malignancy risk is yielding steady improvements in referrals for testing and testing availability. Many germline predisposition alleles are common in populations, and the increasing number of recognized disorders makes inherited myeloid malignancy risk an entity worthy of consideration for all patients regardless of age at diagnosis. Germline testing is facilitated by obtaining DNA from cultured skin fibroblasts or hair bulbs, and cascade testing is easily performed via buccal swab, saliva, or blood. Increasingly as diagnostic criteria and clinical management …

Determination Of Quality Of Life-Related Health Utilities For Surgical Complications In Ovarian Cancer, Rudy S Suidan, Charlotte C Sun, Amy K Schneider, Karen H Lu, Sharon H Giordano, Larissa A Meyer

Faculty, Staff and Student Publications

Objective: To assess the health state utilities of ovarian cancer patients, clinicians, and non-cancer controls regarding surgical complications in ovarian cancer.

Methods: Utilities for 14 surgical complications were assessed from patients with recently diagnosed or recurrent ovarian cancer, clinicians, and non-cancer controls using the visual analog scale (VAS) and time trade-off (TTO) methods. Health state utilities were converted to a 0-to-1 scale, where 0 represents the least favorable outcome and 1 represents the most favorable outcome.

Results: Fifty patients, 50 clinicians, and 50 controls participated. Median VAS scores were lower than TTO scores across all groups (p < 0.01). Patients viewed 'bleeding requiring transfusion' most favorably (VAS utility 0.75), followed in order by less favorable utility scores for hernia, thromboembolism, pleural effusion, abscess, ileus/bowel obstruction, wound infection, bowel obstruction requiring surgery, anastomotic leak requiring drain, temporary ostomy, anastomotic leak requiring surgery, genito-urinary fistula, permanent ostomy, and genito-intestinal fistula (VAS utility 0.2). Overall, clinicians perceived complications more favorably than patients by VAS (overall utility score 0.49 vs 0.43, p < 0.01), but not by the TTO. There were no differences in overall utility scores between patients and controls. Patients who had not experienced certain surgical complications had less favorable scores than patients who did (utility score for ostomy = 0.2 for patients without ostomy vs. 0.7 for patients with ostomy, p = 0.02).

Conclusions: This study …

Deformable Motion Compensation In Interventional Cone-Beam Ct With A Context-Aware Learned Autofocus Metric, Heyuan Huang, Yixuan Liu, Jeffrey H Siewerdsen, Alexander Lu, Yicheng Hu, Wojciech Zbijewski, Mathias Unberath, Clifford R Weiss, Alejandro Sisniega

Faculty, Staff and Student Publications

Purpose: Interventional Cone-Beam CT (CBCT) offers 3D visualization of soft-tissue and vascular anatomy, enabling 3D guidance of abdominal interventions. However, its long acquisition time makes CBCT susceptible to patient motion. Image-based autofocus offers a suitable platform for compensation of deformable motion in CBCT, but it relies on handcrafted motion metrics based on first-order image properties and that lack awareness of the underlying anatomy. This work proposes a data-driven approach to motion quantification via a learned, context-aware, deformable metric, VIFDL , that quantifies the amount of motion degradation as well as the realism of the structural anatomical content in the image. …

Mortality In Recipients Of Allogeneic Haematopoietic Cell Transplantation In The Era Of Cytomegalovirus Primary Prophylaxis: A Single-Centre Retrospective Experience, Anthony Febres-Aldana, Fareed Khawaja, Oscar Morado-Aramburo, Terri Lynn Shigle, Gabriela Rondon, Joseph Sassine, Amy Spallone, Krithika Srinivasan, Jeremy Ramdial, Amin Alousi, Richard Champlin, George Chen, May Daher, Katayoun Rezvani, Ella J Ariza-Heredia, Elizabeth J Shpall, Roy F Chemaly

Faculty, Staff and Student Publications

Objectives: Allogeneic haematopoietic cell transplant (allo-HCT) recipients who are cytomegalovirus (CMV)-seronegative have better post-transplant outcomes than CMV-seropositive recipients. Letermovir (LTV) is approved for CMV primary prophylaxis in adults who are CMV-seropositive after allo-HCT, and its use is associated with improved long-term post-transplant outcomes. We analysed whether LTV has affected the relationship between CMV serostatus and post-transplant outcomes.

Methods: We conducted a retrospective single-centre cohort study of allo-HCT recipients, stratified according to donor (D) and recipient (R). CMV serostatus and the use of LTV: D-/R-, R+/LTV-, and R+/LTV+. Outcomes measured were all-cause and non-relapse mortality, clinically significant CMV infection, graft-versus-host disease, …

Automated Spontaneous Echo Contrast Detection Using A Multisequence Attention Convolutional Neural Network, Ouwen Huang, Zewei Shi, Naveen Garg, Corey Jensen, Mark L Palmeri

Faculty, Staff and Student Publications

OBJECTIVE: Spontaneous echo contrast (SEC) is a vascular ultrasound finding associated with increased thromboembolism risk. However, identification requires expert determination and clinician time to report. We developed a deep learning model that can automatically identify SEC. Our model can be applied retrospectively without deviating from routine clinical practice. The retrospective nature of our model means future works could scan archival data to opportunistically correlate SEC findings with documented clinical outcomes.

METHODS: We curated a data set of 801 archival acquisitions along the femoral vein from 201 patients. We used a multisequence convolutional neural network (CNN) with ResNetv2 backbone and visualized …

Predictive Capacity Of Immune-Related Adverse Events And Cytokine Profiling In Neoadjuvant Immune Checkpoint Inhibitor Trials For Head And Neck Squamous Cell Carcinoma, Angela Alnemri, Sruti Tekumalla, Annie Moroco, Ioannis Vathiotis, Madalina Tuluc, Stacey Gargano, Tingting Zhan, David Cognetti, Joseph Curry, Athanassios Argiris, Alban Linnenbach, Andrew South, Larry Harshyne, Jennifer Johnson, Adam Luginbuhl

Department of Otolaryngology - Head and Neck Surgery Faculty Papers

OBJECTIVES: Certain low-level immune-related adverse events (irAEs) have been associated with survival benefits in patients with various solid tumors on immune checkpoint inhibitors (ICIs). We aimed to investigate the association between irAEs and response to neoadjuvant ICIs in patients with head and neck squamous cell carcinoma (HNSCC) and to identify differences in circulating cytokine levels based on irAE status.

METHODS: This was a retrospective cohort study including three neoadjuvant clinical trials from July 2017 to January 2022: NCT03238365 (nivolumab ± tadalafil), NCT03854032 (nivolumab ± BMS986205), NCT03618654 (durvalumab ± metformin). The presence and type of irAEs, pathologic treatment response, and survival …

Ascc1 Structures And Bioinformatics Reveal A Novel Helix-Clasp-Helix Rna-Binding Motif Linked To A Two-Histidine Phosphodiesterase, Naga Babu Chinnam, Roopa Thapar, Andrew S Arvai, Altaf H Sarker, Jennifer M Soll, Tanmoy Paul, Aleem Syed, Daniel J Rosenberg, Michal Hammel, Albino Bacolla, Panagiotis Katsonis, Abhishek Asthana, Miaw-Sheue Tsai, Ivaylo Ivanov, Olivier Lichtarge, Robert H Silverman, Nima Mosammaparast, Susan E Tsutakawa, John A Tainer

Faculty, Staff and Student Publications

Activating signal co-integrator complex 1 (ASCC1) acts with ASCC-ALKBH3 complex in alkylation damage responses. ASCC1 uniquely combines two evolutionarily ancient domains: nucleotide-binding K-Homology (KH) (associated with regulating splicing, transcriptional, and translation) and two-histidine phosphodiesterase (PDE; associated with hydrolysis of cyclic nucleotide phosphate bonds). Germline mutations link loss of ASCC1 function to spinal muscular atrophy with congenital bone fractures 2 (SMABF2). Herein analysis of The Cancer Genome Atlas (TCGA) suggests ASCC1 RNA overexpression in certain tumors correlates with poor survival, Signatures 29 and 3 mutations, and genetic instability markers. We determined crystal structures of Alvinella pompejana (Ap) ASCC1 and Human (Hs) …

Escalated-Dose Radiotherapy For Unresected Locally Advanced Pancreatic Cancer: Patterns Of Care And Survival In The United States, Christopher Shi, Brian De, Hop S Tran Cao, Suyu Liu, Marcus A Florez, Ramez Kouzy, Adam J Grippin, Matthew H G Katz, Ching-Wei D Tzeng, Naruhiko Ikoma, Michael P Kim, Sunyoung Lee, Jason Willis, Sonal S Noticewala, Bruce D Minsky, Grace L Smith, Emma B Holliday, Cullen M Taniguchi, Albert C Koong, Prajnan Das, Ethan B Ludmir, Eugene J Koay

Faculty, Staff and Student Publications

INTRODUCTION: With locally advanced pancreatic cancer (LAPC), uncontrolled local tumor growth frequently leads to mortality. Advancements in radiotherapy (RT) techniques have enabled conformal delivery of escalated-dose RT (EDR), which may have potential local control and overall survival (OS) benefits based on retrospective and early prospective studies. With evidence for EDR emerging, we characterized the adoption of EDR across the United States and its associated outcomes.

METHODS: We searched the National Cancer Database for nonsurgically managed LAPC patients diagnosed between 2004 and 2019. Pancreas-directed RT with biologically effective doses (BED10) ≥39 and ≤70 Gy was labeled conventional-dose RT (CDR), and BED10 …

Associations Between Radiation Oncologist Demographic Factors And Segmentation Similarity Benchmarks: Insights From A Crowd-Sourced Challenge Using Bayesian Estimation, Kareem A Wahid, Onur Sahin, Suprateek Kundu, Diana Lin, Anthony Alanis, Salik Tehami, Serageldin Kamel, Simon Duke, Michael V Sherer, Mathis Rasmussen, Stine Korreman, David Fuentes, Michael Cislo, Benjamin E Nelms, John P Christodouleas, James D Murphy, Abdallah S R Mohamed, Renjie He, Mohammed A Naser, Erin F Gillespie, Clifton D Fuller

Faculty, Staff and Student Publications

PURPOSE: The quality of radiotherapy auto-segmentation training data, primarily derived from clinician observers, is of utmost importance. However, the factors influencing the quality of clinician-derived segmentations are poorly understood; our study aims to quantify these factors.

METHODS: Organ at risk (OAR) and tumor-related segmentations provided by radiation oncologists from the Contouring Collaborative for Consensus in Radiation Oncology data set were used. Segmentations were derived from five disease sites: breast, sarcoma, head and neck (H&N), gynecologic (GYN), and GI. Segmentation quality was determined on a structure-by-structure basis by comparing the observer segmentations with an expert-derived consensus, which served as a reference …

Current Methods For Hyperpolarized [1-Current Methods For Hyperpolarized [1-13c]Pyruvate Mri Human Studies, Peder E Z Larson, Jenna M L Bernard, James A Bankson, Nikolaj Bøgh, Robert A Bok, Albert P Chen, Charles H Cunningham, Jeremy W Gordon, Jan-Bernd Hövener, Christoffer Laustsen, Dirk Mayer, Mary A Mclean, Franz Schilling, James B Slater, Jean-Luc Vanderheyden, Cornelius Von Morze, Daniel B Vigneron, Duan Xu

Faculty, Staff and Student Publications

MRI with hyperpolarized (HP) 13C agents, also known as HP 13C MRI, can measure processes such as localized metabolism that is altered in numerous cancers, liver, heart, kidney diseases, and more. It has been translated into human studies during the past 10 years, with recent rapid growth in studies largely based on increasing availability of hyperpolarized agent preparation methods suitable for use in humans. This paper aims to capture the current successful practices for HP MRI human studies with [1-13C]pyruvate - by far the most commonly used agent, which sits at a key metabolic junction in glycolysis. The paper is …

Understanding The Treatment Paradigm And The Sequencing Of Antiglaucoma Fixed-Dose Combinations In A Tertiary Center In South India, Ronnie George, Praggya Mishra, Balekudaru Shantha, Lingam Vijaya, Nitin Maksane, Neha Gurha

Faculty, Staff and Student Publications

PURPOSE: To analyze the medical management of primary open-angle glaucoma (POAG) and ocular hypertension (OHT) and the placement of fixed-drug combination drugs (FDC) in the treatment paradigm at a tertiary eye care center in South India.

METHODS: Retrospective study (January 2011-December 2015) of newly diagnosed POAG and OHT patients (≥18 years) with ≥5 years follow-up. Primary outcome included percentage use of different antiglaucoma drugs (at initiation) and FDCs at the first, second, and third progression (sequencing). Secondary outcomes: Percentage discontinuation for different FDCs, efficacy parameters (decrease in intraocular pressure (IOP)/visual field), adverse events, and the median number of antiglaucoma medications …

Adaptive Bayesian Information Borrowing Methods For Finding And Optimizing Subgroup-Specific Doses, Jingyi Zhang, Ruitao Lin, Xin Chen, Fangrong Yan

Faculty, Staff and Student Publications

In precision oncology, integrating multiple cancer patient subgroups into a single master protocol allows for the simultaneous assessment of treatment effects in these subgroups and promotes the sharing of information between them, ultimately reducing sample sizes and costs and enhancing scientific validity. However, the safety and efficacy of these therapies may vary across different subgroups, resulting in heterogeneous outcomes. Therefore, identifying subgroup-specific optimal doses in early-phase clinical trials is crucial for the development of future trials. In this article, we review various innovative Bayesian information-borrowing strategies that aim to determine and optimize subgroup-specific doses. Specifically, we discuss Bayesian hierarchical modeling, …

Charting A Path To The Quintuple Aim: Harnessing Ai To Address Social Determinants Of Health, Yash Shah, Zachary Goldberg, Erika Harness, David Nash

College of Population Health Faculty Papers

The Quintuple Aim seeks to improve healthcare by addressing social determinants of health (SDOHs), which are responsible for 70-80% of medical outcomes. SDOH-related concerns have traditionally been addressed through referrals to social workers and community-based organizations (CBOs), but these pathways have had limited success in connecting patients with resources. Given that health inequity is expected to cost the United States nearly USD 300 billion by 2050, new artificial intelligence (AI) technology may aid providers in addressing SDOH. In this commentary, we present our experience with using ChatGPT to obtain SDOH management recommendations for archetypal patients in Philadelphia, PA. ChatGPT identified …

The Kat Module Of The Saga Complex Maintains The Oncogenic Gene Expression Program In Mycn- Amplified Neuroblastoma, Clare F Malone, Nathaniel W Mabe, Alexandra B Forman, Gabriela Alexe, Kathleen L Engel, Ying-Jiun C Chen, Melinda Soeung, Silvi Salhotra, Allen Basanthakumar, Bin Liu, Sharon Y R Dent, Kimberly Stegmaier

Faculty, Staff and Student Publications

Pediatric cancers are frequently driven by genomic alterations that result in aberrant transcription factor activity. Here, we used functional genomic screens to identify multiple genes within the transcriptional coactivator Spt-Ada-Gcn5-acetyltransferase (SAGA) complex as selective dependencies for MYCN-amplified neuroblastoma, a disease of dysregulated development driven by an aberrant oncogenic transcriptional program. We characterized the DNA recruitment sites of the SAGA complex in neuroblastoma and the consequences of loss of SAGA complex lysine acetyltransferase (KAT) activity on histone acetylation and gene expression. We demonstrate that loss of SAGA complex KAT activity is associated with reduced MYCN binding on chromatin, suppression of …

Propofol Enhancement Of Slow Wave Sleep To Target The Nexus Of Geriatric Depression And Cognitive Dysfunction: Protocol For A Phase I Open Label Trial, Rachel Lynn Rios, Michael Green, S Kendall Smith, Mohammadmehdi Kafashan, Shinung Ching, Nuri B Farber, Nan Lin, Brendan P Lucey, Charles F Reynolds, Eric J Lenze, Ben Julian Agustin Palanca, Swiped Study Team

2020-Current year OA Pubs

INTRODUCTION: Late-life treatment-resistant depression (LL-TRD) is common and increases risk for accelerated ageing and cognitive decline. Impaired sleep is common in LL-TRD and is a risk factor for cognitive decline. Slow wave sleep (SWS) has been implicated in key processes including synaptic plasticity and memory. A deficiency in SWS may be a core component of depression pathophysiology. The anaesthetic propofol can induce electroencephalographic (EEG) slow waves that resemble SWS. Propofol may enhance SWS and oral antidepressant therapy, but relationships are unclear. We hypothesise that propofol infusions will enhance SWS and improve depression in older adults with LL-TRD. This hypothesis has …

A Review Of Image Sensors Used In Near-Infrared And Shortwave Infrared Fluorescence Imaging, Banghe Zhu, Henry Jonathan

The Brown Foundation: Institute of Molecular Medicine

To translate near-infrared (NIR) and shortwave infrared (SWIR) fluorescence imaging into the clinic, the paired imaging device needs to detect trace doses of fluorescent imaging agents. Except for the filtration scheme and excitation light source, the image sensor used will finally determine the detection limitations of NIR and SWIR fluorescence imaging systems. In this review, we investigate the current state-of-the-art image sensors used in NIR and SWIR fluorescence imaging systems and discuss the advantages and limitations of their characteristics, such as readout architecture and noise factors. Finally, the imaging performance of these image sensors is evaluated and compared.

Variant-Specific Pathophysiological Mechanisms Of Aff3 Differently Influence Transcriptome Profiles, Sissy Bassani, Jacqueline Chrast, Giovanna Ambrosini, Norine Voisin, Frédéric Schütz, Alfredo Brusco, Fabio Sirchia, Lydia Turban, Susanna Schubert, Rami Abou Jamra, Jan-Ulrich Schlump, Desiree Demille, Pinar Bayrak-Toydemir, Gary Rex Nelson, Kristen Nicole Wong, Laura Duncan, Mackenzie Mosera, Christian Gilissen, Lisenka E L M Vissers, Rolph Pfundt, Rogier Kersseboom, Hilde Yttervik, Geir Åsmund Myge Hansen, Marie Falkenberg Smeland, Kameryn M Butler, Michael J Lyons, Claudia M B Carvalho, Chaofan Zhang, James R Lupski, Lorraine Potocki, Leticia Flores-Gallegos, Rodrigo Morales-Toquero, Florence Petit, Binnaz Yalcin, Annabelle Tuttle, Houda Zghal Elloumi, Lane Mccormick, Mary Kukolich, Oliver Klaas, Judit Horvath, Marcello Scala, Michele Iacomino, Francesca Operto, Federico Zara, Karin Writzl, Aleš Maver, Maria K Haanpää, Pia Pohjola, Harri Arikka, Anneke J A Kievit, Camilla Calandrini, Christian Iseli, Nicolas Guex, Alexandre Reymond

Faculty, Staff and Students Publications

BACKGROUND: We previously described the KINSSHIP syndrome, an autosomal dominant disorder associated with intellectual disability (ID), mesomelic dysplasia and horseshoe kidney, caused by de novo variants in the degron of AFF3. Mouse knock-ins and overexpression in zebrafish provided evidence for a dominant-negative mode of action, wherein an increased level of AFF3 resulted in pathological effects.

METHODS: Evolutionary constraints suggest that other modes-of-inheritance could be at play. We challenged this hypothesis by screening ID cohorts for individuals with predicted-to-be damaging variants in AFF3. We used both animal and cellular models to assess the deleteriousness of the identified variants.

RESULTS: We identified …

Induced Cd8Α Identifies Human Nk Cells With Enhanced Proliferative Fitness And Modulates Nk Cell Activation, Celia C. Cubitt, Pamela Wong, Hannah K. Dorando, Jennifer A. Foltz, Jennifer Tran, Lynne Marsala, Nancy D. Marin, Mark Foster, Timothy Schappe, Hijab Fatima, Michelle Becker-Hapak, Alice Y. Zhou, Kimberly Hwang, Miriam T. Jacobs, David A. Russler-Germain, Emily M. Mace, Melissa M. Berrien-Elliott, Jacqueline E. Payton, Todd A. Fehniger

2020-Current year OA Pubs

The surface receptor CD8α is present on 20%-80% of human (but not mouse) NK cells, yet its function on NK cells remains poorly understood. CD8α expression on donor NK cells was associated with a lack of therapeutic responses in patients with leukemia in prior studies, thus, we hypothesized that CD8α may affect critical NK cell functions. Here, we discovered that CD8α- NK cells had improved control of leukemia in xenograft models compared with CD8α+ NK cells, likely due to an enhanced capacity for proliferation. Unexpectedly, we found that CD8α expression was induced on approximately 30% of previously CD8α- NK cells …

A Technology-Assisted Web Application For Consumer Access To A Nonprescription Statin Medication, Steven E Nissen, Howard G Hutchinson, Kathy Wolski, Karol Watson, Seth S Martin, Erin D Michos, William S Weintraub, Melanie Morris, Leslie Cho, Luke Laffin, Douglas Jacoby, Christie M Ballantyne, Jan Ekelund, Filip Birve, Venu Menon, Michelle Strzelecki, Paul M Ridker

Faculty, Staff and Students Publications

Background: Although statins reduce adverse cardiovascular outcomes, less than one-half of eligible patients receive treatment. A nonprescription statin has the potential to improve access to statins.

Objectives: This study sought to assess concordance between clinician and consumer assessment of eligibility for nonprescription statin treatment using a technology assisted self-selection Web application (Web App) and evaluate effect on low-density lipoprotein cholesterol (LDL-C) levels.

Methods: This study was a prospective actual use 6-month study to evaluate use of a Web App to qualify participants without a medical background for a moderate-intensity statin based on current guidelines. Participants entered demographic information, cholesterol values, …

Cosmetic Penile Enhancement Procedures: An Smsna Position Statement, Landon Trost, Daniel N Watter, Serge Carrier, Mohit Khera, Faysal A Yafi, Helen L Bernie, Matthew Ziegelmann, Tobias Köhler

Faculty, Staff and Students Publications

Background: Penile cosmetic enhancement procedures have been performed for many years with varying success. However, they have historically been relegated to niche areas of sexual medicine, with limited data, and have not achieved mainstream adoption. More recently, the topic has been increasingly discussed within academic congresses due to availability of novel techniques, therapies, and procedures. Given their distinctive nature, the Sexual Medicine Society of North America (SMSNA) felt that it was pertinent to develop formal position statements to help guide both patients and sexual medicine providers on the current state of the scientific literature and to give recommendations for future …

Factors Associated With Intention To Implement Sbi And Sud Treatment: A Survey Of Primary Care Clinicians In Texas Enrolled In An Online Course, Alicia Kowalchuk, Tiffany G Ostovar-Kermani, Kylie Schaper, Larissa Grigoryan, Jacqueline M Hirth, Maria Carmenza Mejia, Kiara K Spooner, Roger J Zoorob

Faculty, Staff and Students Publications

BACKGROUND: Substance use disorder (SUD) presents a range of public health challenges and consequences. Despite the prevention potential of screening and brief intervention (SBI) in the primary care setting, implementation is low. The purpose of this study was to assess associations of primary care clinicians' knowledge of SBI and SUD treatment, subjective norms, and perceived behavioral control with intention to incorporate SBI and SUD treatment into regular clinical practice.

METHODS: This online survey was administered to primary care clinicians who practice in Texas between March 1, 2021, and February 5, 2023. Survey questions were mapped to factors in the Theory …

The Impact Of The Optn Policy Change On Patients With A Durable Left Ventricular Assist Device And Chronic Kidney Disease: Analysis Of The Unos Database, Eric D. Warner, Christopher Pritting, Sawan Dutta, Matt Bierowski, Waqas Ullah, Yevgeniy Brailovsky, Michelle Kittleson, René J. Alvarez, J. Eduardo Rame, Alexander Hajduczok, Vineeta Kumar, Danial Ahmad, Vakhtang Tchantchaleishvili, Indranee N. Rajapreyar

Division of Cardiology Faculty Papers

BACKGROUND: The Organ Procurement and Transplantation Network (OPTN) implemented modifications in 2018 to the adult heart transplant allocation system to better stratify the most medically urgent transplant candidates. We evaluated the impact of these changes on patients supported by a durable left ventricular assist device (LVAD) with chronic kidney disease (CKD).

OBJECTIVE: To evaluate the impact of the OPTN policy change on patients supported by durable left ventricular assist devices (LVAD) with chronic kidney disease (CKD).

METHODS: We performed an analysis of patients from the United Network of Organ Sharing Database supported by durable LVAD listed for a heart transplant …

Ver-Net: A Hybrid Transfer Learning Model For Lung Cancer Detection Using Ct Scan Images, Anindita Saha, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Rakesh Kumar Yadav, Saurav Mallik, Zhongming Zhao

Faculty, Staff and Student Publications

BACKGROUND: Lung cancer is the second most common cancer worldwide, with over two million new cases per year. Early identification would allow healthcare practitioners to handle it more effectively. The advancement of computer-aided detection systems significantly impacted clinical analysis and decision-making on human disease. Towards this, machine learning and deep learning techniques are successfully being applied. Due to several advantages, transfer learning has become popular for disease detection based on image data.

METHODS: In this work, we build a novel transfer learning model (VER-Net) by stacking three different transfer learning models to detect lung cancer using lung CT scan images. …

Validation Of Human Telomere Length Multi-Ancestry Meta-Analysis Association Signals Identifies Pop5 And Kbtbd6 As Human Telomere Length Regulation Genes, Rebecca Keener, Surya B Chhetri, Carla J Connelly, Margaret A Taub, Matthew P Conomos, Joshua Weinstock, Bohan Ni, Benjamin Strober, Stella Aslibekyan, Paul L Auer, Lucas Barwick, Lewis C Becker, John Blangero, Eugene R Bleecker, Jennifer A Brody, Brian E Cade, Juan C Celedon, Yi-Cheng Chang, L Adrienne Cupples, Brian Custer, Barry I Freedman, Mark T Gladwin, Susan R Heckbert, Lifang Hou, Marguerite R Irvin, Carmen R Isasi, Jill M Johnsen, Eimear E Kenny, Charles Kooperberg, Ryan L Minster, Take Naseri, Satupa'itea Viali, Sergei Nekhai, Nathan Pankratz, Patricia A Peyser, Kent D Taylor, Marilyn J Telen, Baojun Wu, Lisa R Yanek, Ivana V Yang, Christine Albert, Donna K Arnett, Allison E Ashley-Koch, Kathleen C Barnes, Joshua C Bis, Thomas W Blackwell, Eric Boerwinkle, Esteban G Burchard, April P Carson, Zhanghua Chen, Yii-Der Ida Chen, Dawood Darbar, Mariza De Andrade, Patrick T Ellinor, Myriam Fornage, Bruce D Gelb, Frank D Gilliland, Jiang He, Talat Islam, Stefan Kaab, Sharon L R Kardia, Shannon Kelly, Barbara A Konkle, Rajesh Kumar, Ruth J F Loos, Fernando D Martinez, Stephen T Mcgarvey, Deborah A Meyers, Braxton D Mitchell, Courtney G Montgomery, Kari E North, Nicholette D Palmer, Juan M Peralta, Benjamin A Raby, Susan Redline, Stephen S Rich, Dan Roden, Jerome I Rotter, Ingo Ruczinski, David Schwartz, Frank Sciurba, M Benjamin Shoemaker, Edwin K Silverman, Moritz F Sinner, Nicholas L Smith, Albert V Smith, Hemant K Tiwari, Ramachandran S Vasan, Scott T Weiss, L Keoki Williams, Yingze Zhang, Elad Ziv, Laura M Raffield, Alexander P Reiner, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Topmed Hematology And Hemostasis Working Group, Topmed Structural Variation Working Group, Marios Arvanitis, Carol W Greider, Rasika A Mathias, Alexis Battle

Faculty, Staff and Student Publications

Genome-wide association studies (GWAS) have become well-powered to detect loci associated with telomere length. However, no prior work has validated genes nominated by GWAS to examine their role in telomere length regulation. We conducted a multi-ancestry meta-analysis of 211,369 individuals and identified five novel association signals. Enrichment analyses of chromatin state and cell-type heritability suggested that blood/immune cells are the most relevant cell type to examine telomere length association signals. We validated specific GWAS associations by overexpressing KBTBD6 or POP5 and demonstrated that both lengthened telomeres. CRISPR/Cas9 deletion of the predicted causal regions in K562 blood cells reduced expression of …

Biobank-Wide Association Scan Identifies Risk Factors For Late-Onset Alzheimer's Disease And Endophenotypes, Donghui Yan, Carlos Cruchaga, Et Al.

2020-Current year OA Pubs

Rich data from large biobanks, coupled with increasingly accessible association statistics from genome-wide association studies (GWAS), provide great opportunities to dissect the complex relationships among human traits and diseases. We introduce BADGERS, a powerful method to perform polygenic score-based biobank-wide association scans. Compared to traditional approaches, BADGERS uses GWAS summary statistics as input and does not require multiple traits to be measured in the same cohort. We applied BADGERS to two independent datasets for late-onset Alzheimer's disease (AD; n=61,212). Among 1738 traits in the UK biobank, we identified 48 significant associations for AD. Family history, high cholesterol, and numerous traits …

Brain Cell-Type Shifts In Alzheimer’S Disease, Autism, And Schizophrenia Interrogated Using Methylomics And Genetics, Chloe X Yap, Daniel D Vo, Matthew G Heffel, Arjun Bhattacharya, Cindy Wen, Yuanhao Yang, Kathryn E Kemper, Jian Zeng, Zhili Zheng, Zhihong Zhu, Eilis Hannon, Dorothea Seiler Vellame, Alice Franklin, Christa Caggiano, Brie Wamsley, Daniel H Geschwind, Noah Zaitlen, Alexander Gusev, Bogdan Pasaniuc, Jonathan Mill, Chongyuan Luo, Michael J Gandal

Faculty, Staff and Student Publications

Few neuropsychiatric disorders have replicable biomarkers, prompting high-resolution and large-scale molecular studies. However, we still lack consensus on a more foundational question: whether quantitative shifts in cell types-the functional unit of life-contribute to neuropsychiatric disorders. Leveraging advances in human brain single-cell methylomics, we deconvolve seven major cell types using bulk DNA methylation profiling across 1270 postmortem brains, including from individuals diagnosed with Alzheimer's disease, schizophrenia, and autism. We observe and replicate cell-type compositional shifts for Alzheimer's disease (endothelial cell loss), autism (increased microglia), and schizophrenia (decreased oligodendrocytes), and find age- and sex-related changes. Multiple layers of evidence indicate that endothelial …

Evaluating Performance And Applications Of Sample-Wise Cell Deconvolution Methods On Human Brain Transcriptomic Data, Rujia Dai, Tianyao Chu, Ming Zhang, Xuan Wang, Alexandre Jourdon, Feinan Wu, Jessica Mariani, Flora M Vaccarino, Donghoon Lee, John F Fullard, Gabriel E Hoffman, Panos Roussos, Yue Wang, Xusheng Wang, Dalila Pinto, Sidney H Wang, Chunling Zhang, Psychencode Consortium, Chao Chen, Chunyu Liu

Faculty, Staff and Student Publications

Sample-wise deconvolution methods estimate cell-type proportions and gene expressions in bulk tissue samples, yet their performance and biological applications remain unexplored, particularly in human brain transcriptomic data. Here, nine deconvolution methods were evaluated with sample-matched data from bulk tissue RNA sequencing (RNA-seq), single-cell/nuclei (sc/sn) RNA-seq, and immunohistochemistry. A total of 1,130,767 nuclei per cells from 149 adult postmortem brains and 72 organoid samples were used. The results showed the best performance of dtangle for estimating cell proportions and bMIND for estimating sample-wise cell-type gene expressions. For eight brain cell types, 25,273 cell-type eQTLs were identified with deconvoluted expressions (decon-eQTLs). The …

Accessibility, Relevance, And Impact Of A Symptom Monitoring Tool For Home Hospice Care: Theory Elaboration And Qualitative Assessment, Karla T Washington, Debra Parker Oliver, Allison K Donehower, Patrick White, Jacquelyn J Benson, Patrick G Lyons, George Demiris

2020-Current year OA Pubs

BACKGROUND: Early users found Engagement and Visualization to Improve Symptoms in Oncology Care (ENVISION), a web-based application designed to improve home management of hospice patients' symptoms and support patients' and family caregivers' well-being, to be generally useful and easy to use. However, they also raised concerns about potential challenges users with limited technological proficiency might experience.

OBJECTIVE: We sought to concurrently accomplish two interrelated study aims: (1) to develop a conceptual framework of digital inclusivity for health information systems and (2) to apply the framework in evaluating the digital inclusivity of the ENVISION application.

METHODS: We engaged ENVISION users (N=34) …

Dynamic Cbct Imaging Using Prior Model-Free Spatiotemporal Implicit Neural Representation (Pmf-Stinr), Hua-Chieh Shao, Tielige Mengke, Tinsu Pan, You Zhang

Faculty, Staff and Student Publications

Objective. Dynamic cone-beam computed tomography (CBCT) can capture high-spatial-resolution, time-varying images for motion monitoring, patient setup, and adaptive planning of radiotherapy. However, dynamic CBCT reconstruction is an extremely ill-posed spatiotemporal inverse problem, as each CBCT volume in the dynamic sequence is only captured by one or a few x-ray projections, due to the slow gantry rotation speed and the fast anatomical motion (e.g. breathing).Approach. We developed a machine learning-based technique, prior-model-free spatiotemporal implicit neural representation (PMF-STINR), to reconstruct dynamic CBCTs from sequentially acquired x-ray projections. PMF-STINR employs a joint image reconstruction and registration approach to address the …

Gte: A Graph Learning Framework For Prediction Of T-Cell Receptors And Epitopes Binding Specificity, Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Wenliang Zhong, Yi Han, Tao Wang, Junzhou Huang

Faculty, Staff and Student Publications

The interaction between T-cell receptors (TCRs) and peptides (epitopes) presented by major histocompatibility complex molecules (MHC) is fundamental to the immune response. Accurate prediction of TCR–epitope interactions is crucial for advancing the understanding of various diseases and their prevention and treatment. Existing methods primarily rely on sequence-based approaches, overlooking the inherent topology structure of TCR–epitope interaction networks. In this study, we present , a novel heterogeneous Graph neural network model based on inductive learning to capture the topological structure between TCRs and Epitopes. Furthermore, we address the challenge of constructing negative samples within the graph by proposing a dynamic edge …