Digital Commons Network^™

Classification Of Non-Tcga Cancer Samples To Tcga Molecular Subtypes Using Compact Feature Sets, Kyle Ellrott, Christopher K Wong, Christina Yau, Mauro A A Castro, Jordan A Lee, Brian J Karlberg, Jasleen K Grewal, Vincenzo Lagani, Bahar Tercan, Verena Friedl, Toshinori Hinoue, Vladislav Uzunangelov, Lindsay Westlake, Xavier Loinaz, Ina Felau, Peggy I Wang, Anab Kemal, Samantha J Caesar-Johnson, Ilya Shmulevich, Alexander J Lazar, Ioannis Tsamardinos, Katherine A Hoadley, Cancer Genome Atlas Analysis Network, A Gordon Robertson, Theo A Knijnenburg, Christopher C Benz, Joshua M Stuart, Jean C Zenklusen, Andrew D Cherniack, Peter W Laird

Faculty, Staff and Student Publications

Molecular subtypes, such as defined by The Cancer Genome Atlas (TCGA), delineate a cancer's underlying biology, bringing hope to inform a patient's prognosis and treatment plan. However, most approaches used in the discovery of subtypes are not suitable for assigning subtype labels to new cancer specimens from other studies or clinical trials. Here, we address this barrier by applying five different machine learning approaches to multi-omic data from 8,791 TCGA tumor samples comprising 106 subtypes from 26 different cancer cohorts to build models based upon small numbers of features that can classify new samples into previously defined TCGA molecular subtypes-a …

Sex And Outcomes Of Patients With Microsatellite Instability-High And Braf V600e Mutated Metastatic Colorectal Cancer Receiving Immune Checkpoint Inhibitors, Vincenzo Nasca, Joseph Zhao, Javier Ros, Sara Lonardi, Koen Zwart, Romain Cohen, Marwan Fakih, Priya Jayachandran, Jeanine M L Roodhart, Jeroen Derksen, Rossana Intini, Francesca Bergamo, Giacomo Mazzoli, Filippo Ghelardi, Marta Ligero, Jitendra Jonnagaddala, Nicholas Hawkins, Robyn L Ward, Durgesh Wankhede, Hermann Brenner, Michael Hoffmeister, Marco Vitellaro, Lisa Salvatore, Claire Gallois, Pierre Laurent-Puig, Chiara Cremolini, Michael J Overman, Julien Taieb, David Tougeron, Thierry Andre, Jakob Nikolas Kather, Raghav Sundar, Javier Carmona, Elena Elez, Miriam Koopman, Filippo Pietrantonio

Faculty, Staff and Student Publications

Background: Immune checkpoint inhibitors (ICIs) are the gold standard therapy in patients with deficient mismatch repair (dMMR)/microsatellite instability-high (MSI-H) metastatic colorectal cancer (mCRC). A significant proportion of patients show resistance, making the identification of determinants of response crucial. Growing evidence supports the role of sex in determining susceptibility to anticancer therapies, but data is lacking for patients with MSI-H CRC.

Methods: In this real-world cohort comprising 624 patients with MSI-H mCRC receiving ICIs, we investigated the impact of sex on patients' outcomes, overall and according to RAS-BRAF mutational status or type of treatment (anti-PD-(L)1 with or without anti-CTLA-4 agents). We …

Tigit Inhibitor M6223 As Monotherapy Or In Combination With Bintrafusp Alfa In Patients With Advanced Solid Tumors: A First-In-Human, Phase 1, Dose-Escalation Trial, Aung Naing, Meredith Mckean, Anthony Tolcher, Anja Victor, Ping Hu, Wei Gao, Marco A F Nogueira Filho, Thomas Kitzing, Stephan Gleicher, Daniel Holland, Emilia Richter, Keyvan Tadjalli-Mehr, Lillian L Siu

Faculty, Staff and Student Publications

Background: M6223 is an intravenous (IV), Fc-competent, fully human, antagonistic, anti-T cell immunoreceptor with immunoglobulin and immunoreceptor tyrosine-based inhibitory motif domains (TIGIT) antibody. Bintrafusp alfa (BA) is a bifunctional fusion protein that simultaneously blocks nonredundant immunosuppressive TGF-β and PD-(L)1 pathways.

Methods: This first-in-human, dose-escalation study in patients with advanced solid tumors (N=58; aged ≥18 years, ECOG PS≤1) evaluated M6223 alone (Part 1A, n=40; M6223 10-2400 mg every 2 weeks, n=32; M6223 2400 mg every 3 weeks, n=8) or with BA (Part 1B, n=18; M6223 300-1600 mg with BA 1200 mg; both every 2 weeks, intravenous). Primary objectives were safety, tolerability, …

A Targeted Gene Expression Biomarker Predicts Clinic Low-Risk Meningioma Recurrence, Minh P Nguyen, Ramin A Morshed, Mark W Youngblood, Haley K Perlow, Calixto-Hope G Lucas, Akash J Patel, Joshua D Palmer, Craig M Horbinski, Stephen T Magill, William C Chen, David R Raleigh

Duncan NRI Faculty and Staff Publications

Background: Despite reassuring clinical and histological features, low-grade meningiomas can recur after surgery. Targeted gene expression profiling improves risk stratification of meningiomas, but the utility of this approach for clinical low-risk meningiomas is incompletely understood.

Methods: This was a multicenter retrospective cohort study of meningiomas from patients who were treated at 4 institutions from 1992 to 2023. Adult patients with newly diagnosed or recurrent World Health Organization (WHO) grade 1 meningiomas that were treated with gross total resection (GTR) or subtotal resection (STR), or newly diagnosed WHO grade 2 meningiomas that were treated with GTR, were included. A 34-gene expression …

Cimpact-Now Update 8: Clarifications On Molecular Risk Parameters And Recommendations For Who Grading Of Meningiomas, Felix Sahm, Sonika Dahiya, Et Al.

2020-Current year OA Pubs

Meningiomas are the most frequent primary intracranial tumors. Hence, they constitute a major share of diagnostic specimens in neuropathology practice. The 2021 WHO Classification of Central Nervous System Tumors ("CNS5") has introduced the first molecular grading parameters for meningioma with oncogenic variants in the TERT promoter and homozygous deletion of CDKN2A/B as markers for CNS WHO grade 3. However, after the publication of the new classification volume, clarifications were requested, not only on novel but also on long-standing questions in meningioma grading that were beyond the scope of the WHO "blue book." In addition, more recent research into possible new …

Contrast-Enhanced Magnetic Resonance Imaging Based Calf Muscle Perfusion And Machine Learning In Peripheral Artery Disease, Bijen Khagi, Tatiana Belousova, Christina M Short, Addison A Taylor, Jean Bismuth, Dipan J Shah, Gerd Brunner

Faculty, Staff and Students Publications

Peripheral artery disease (PAD) remains underdiagnosed and undertreated and is associated with an increased risk for adverse cardiovascular outcomes. Imaging provides an approach to identifying patients with PAD. However, the role of integrating imaging with machine learning to identify PAD patients and potentially assess disease severity remains understudied. A total of 56 participants, including 36 PAD patients with intermittent claudication and 20 matched controls, underwent contrast-enhanced magnetic resonance imaging (CE-MRI) calf muscle perfusion scanning. CE-MRI-derived dynamic muscle perfusion maps were developed to quantify alterations of the microvascular circulation in the calf muscles based on voxel contrast enhancement. These dynamic muscle …

A Neuronal Code For Object Representation And Memory In The Human Amygdala And Hippocampus, Runnan Cao, Peter Brunner, Puneeth N Chakravarthula, Krista L Wahlstrom, Cory Inman, Elliot H Smith, Xin Li, Adam N Mamelak, Nicholas J Brandmeir, Ueli Rutishauser, Jon T Willie, Shuo Wang

2020-Current year OA Pubs

How the brain encodes, recognizes, and memorizes general visual objects is a fundamental question in neuroscience. Here, we investigated the neural processes underlying visual object perception and memory by recording from 3173 single neurons in the human amygdala and hippocampus across four experiments. We employed both passive-viewing and recognition memory tasks involving a diverse range of naturalistic object stimuli. Our findings reveal a region-based feature code for general objects, where neurons exhibit receptive fields in the high-level visual feature space. This code can be validated by independent new stimuli and replicated across all experiments, including fixation-based analyses with large natural …

Motor Pool Selectivity Of Neuromuscular Degeneration In Type I Spinal Muscular Atrophy Is Conserved Between Human And Mouse, Justin C Lee, Wendy K Chung, David J Pisapia, Christopher E Henderson

Faculty, Staff and Students Publications

Spinal muscular atrophy (SMA) is caused by low levels of the survival motor neuron (SMN) protein. Even though SMN is ubiquitously expressed, the disease selectively affects motor neurons, leading to progressive muscle weakness. Even among motor neurons, certain motor units appear more clinically resistant to SMA. To quantitatively survey selective resistance, we studied extensive neuromuscular autopsies of Type I SMA patients and age-matched controls. We found highly divergent degrees of degeneration of neighboring motor units, even within individual cranial nerves or a single anatomical area such as the neck. Examination of a Type I SMA patient maintained on life support …

An Ontology-Based Rare Disease Common Data Model Harmonising International Registries, Fhir, And Phenopackets., Adam S L Graefe, Miriam R Hübner, Filip Rehburg, Steffen Sander, Sophie A I Klopfenstein, Samer Alkarkoukly, Ana Grönke, Annic Weyersberg, Daniel Danis, Jana Zschüntzsch, Elisabeth F Nyoungui, Susanna Wiegand, Peter Kühnen, Peter N Robinson, Oya Beyan, Sylvia Thun

Faculty Research 2025

Although rare diseases (RDs) affect over 260 million individuals worldwide, low data quality and scarcity challenge effective care and research. This work aims to harmonise the Common Data Set by European Rare Disease Registry Infrastructure, Health Level 7 Fast Healthcare Interoperability Base Resources, and the Global Alliance for Genomics and Health Phenopacket Schema into a novel rare disease common data model (RD-CDM), laying the foundation for developing international RD-CDMs aligned with these data standards. We developed a modular-based GitHub repository and documentation to account for flexibility, extensions and further development. Recommendations on the model's cardinalities are given, inviting further refinement …

Evaluating Maternal Drug Use Disparities, Risk Factors And Outcomes In Northeast Arkansas: A Pre, During, And Post-Covid-19 Pandemic Analysis., Enrique Gomez Pomar, Johnna Berryhill, Sudeepa Bhattacharyya

Pediatrics Faculty Publications

INTRODUCTION: The use of addictive substances remains a major health problem in the U.S. An increase in drug overdose and mortality was observed during the COVID-19 pandemic, especially in underserved populations. This surge also impacted pregnant women especially with the use of marijuana (THC) and opioids.

METHODS: Retrospective study analyzing mother-infant dyads with reported Meconium Drug Screen (MDS) results, from January 2018 through April 2023 at a reference hospital serving an urban and rural area of Arkansas. Due to the absence of universal screening, the prevalence of drug use was variable during the study period. An adjusted monthly positive rate …

Evaluating Maternal Drug Use Disparities, Risk Factors And Outcomes In Northeast Arkansas: A Pre, During, And Post-Covid-19 Pandemic Analysis., Enrique Gomez Pomar, Johnna Berryhill, Sudeepa Bhattacharyya

Pediatrics Faculty Publications

INTRODUCTION: The use of addictive substances remains a major health problem in the U.S. An increase in drug overdose and mortality was observed during the COVID-19 pandemic, especially in underserved populations. This surge also impacted pregnant women especially with the use of marijuana (THC) and opioids.

METHODS: Retrospective study analyzing mother-infant dyads with reported Meconium Drug Screen (MDS) results, from January 2018 through April 2023 at a reference hospital serving an urban and rural area of Arkansas. Due to the absence of universal screening, the prevalence of drug use was variable during the study period. An adjusted monthly positive rate …

Evaluating Maternal Drug Use Disparities, Risk Factors And Outcomes In Northeast Arkansas: A Pre, During, And Post-Covid-19 Pandemic Analysis., Enrique Gomez Pomar, Johnna Berryhill, Sudeepa Bhattacharyya

Pediatrics Faculty Publications

INTRODUCTION: The use of addictive substances remains a major health problem in the U.S. An increase in drug overdose and mortality was observed during the COVID-19 pandemic, especially in underserved populations. This surge also impacted pregnant women especially with the use of marijuana (THC) and opioids.

METHODS: Retrospective study analyzing mother-infant dyads with reported Meconium Drug Screen (MDS) results, from January 2018 through April 2023 at a reference hospital serving an urban and rural area of Arkansas. Due to the absence of universal screening, the prevalence of drug use was variable during the study period. An adjusted monthly positive rate …

Impact Of Developmental State, P53 Status, And Interferon Signaling On Glioblastoma Cell Response To Radiation And Temozolomide Treatment, Artem D. Berezovsky, Oluwademilade Nuga, Indrani Datta, Kimberly Bergman, Thais S. Sabedot, Katherine Gurdziel, Susan M. Irtenkauf, Laura A. Hasselbach, Yuling Meng, Claudius Mueller, Emanuel F Petricoin, Stephen L. Brown, Neeraja Purandare, Sidhesh Aras, Tom Mikkelsen, Laila M. Poisson, Houtan Noushmehr, Douglas Ruden, Ana C. De Carvalho

Neurosurgery Articles

Glioblastoma (GBM) tumors exhibit extensive genomic, epigenomic, and transcriptional diversity, with significant intratumoral heterogeneity, complicating standard treatment approaches involving radiation (RT) and the DNA-alkylating agent temozolomide (TMZ). In this study, we employed an integrative multi-omics approach, including targeted proteomics, transcriptomics, genomics, and DNA methylation profiling, to investigate the response of a representative panel of GBM patient-derived cancer stem cells (CSCs) to astrocytic differentiation and RT and TMZ treatments. Differentiated CSC progenies retained the expression of key stemness genes and survival pathways, while activating the BMP-Smad signaling pathway and upregulating extracellular matrix components. This was associated with increased resistance to TMZ, …

Experiences Of The Management Of Uncertainty Amongst Musculoskeletal First Contact Practitioners Working In Primary Care, Sue May, Matt Parselle

School of Psychology

Aim: To develop a deeper understanding of strategies used to manage uncertainty by Musculoskeletal First Contact Practitioners (MSK FCPs), including barriers to and facilitators for these strategies. Background: MSK FCP services provide patients with an alternative to seeing their GP regarding MSK complaints. Research suggests that the role demands different skills and attributes from traditional physiotherapy roles, including the ability to deal with greater clinical uncertainty. There is a lack of research evaluating the strategies FCPs find most helpful for managing uncertainty. Method: A qualitative study using semi‐structured online interviews. Participants were recruited using convenience sampling. Data was analysed using …

A Synthetic Chronogenetic Gene Circuit For Programmed Circadian Drug Delivery, Lara Pferdehirt, Anna R Damato, Kristin L Lenz, Maria F Gonzalez-Aponte, Daniel Palmer, Qing-Jun Meng, Erik D Herzog, Farshid Guilak

2020-Current year OA Pubs

Circadian medicine, the delivery of therapeutic interventions based on an individual's daily rhythms, has shown improved efficacy and reduced side-effects for various treatments. Rheumatoid arthritis and other inflammatory diseases are characterized by diurnal changes in cytokines, leading to inflammatory flares, with peak disease activity in the early morning. Using a combination of synthetic biology and tissue engineering, we developed circadian-based gene circuits, termed "chronogenetics", that express a prescribed transgene downstream of the core clock gene promoter, Period2 (Per2). Gene circuits were transduced into induced pluripotent stem cells that were tissue-engineered into cartilage constructs. Our anti-inflammatory chronogenetic constructs produced therapeutic concentrations …

Comprehensive Sumo Proteomic Analyses Identify Hiv Latency-Associated Proteins In Microglia., Fergan Imbert, Dianne Langford

Rowan-Virtua School of Osteopathic Medicine Departmental Research

SUMOylation, the post-translational modification of proteins by small ubiquitin-like modifiers, plays a critical role in regulating various cellular processes, including innate immunity. This modification is essential for modulating immune responses and influencing signaling pathways that govern the activation and function of immune cells. Recent studies suggest that SUMOylation also contributes to the pathophysiology of central nervous system (CNS) viral infections, where it contributes to the host response and viral replication dynamics. Here, we explore the multifaceted role of SUMOylation in innate immune signaling and its implications for viral infections within the CNS. Notably, we present novel proteomic analyses aimed at …

Efficacy Of Zenocutuzumab In Nrg1 Fusion-Positive Cancer, Alison M Schram, Koichi Goto, Dong-Wan Kim, Teresa Macarulla, Antoine Hollebecque, Eileen M O'Reilly, Sai-Hong Ignatius Ou, Jordi Rodon, Sun Young Rha, Kazumi Nishino, Michaël Duruisseaux, Joon Oh Park, Cindy Neuzillet, Stephen V Liu, Benjamin A Weinberg, James M Cleary, Emiliano Calvo, Kumiko Umemoto, Misako Nagasaka, Christoph Springfeld, Tanios Bekaii-Saab, Grainne M O'Kane, Frans Opdam, Kim A Reiss, Andrew K Joe, Ernesto Wasserman, Viktoriya Stalbovskaya, Jim Ford, Shola Adeyemi, Lokesh Jain, Shekeab Jauhari, Alexander Drilon, Enrgy Investigators

Faculty, Staff and Student Publications

Background: Neuregulin 1 (NRG1) fusions are recurrent oncogenic drivers found in multiple solid tumors. NRG1 binds to human epidermal growth factor receptor 3 (HER3), leading to heterodimerization with HER2 and activation of downstream growth and proliferation pathways. The efficacy and safety of zenocutuzumab, a bispecific antibody against HER2 and HER3, in patients with NRG1 fusion-positive solid tumors are unclear.

Methods: In this registrational, phase 2 clinical study, we assigned patients with advanced NRG1 fusion-positive cancer involving any tumor type to receive zenocutuzumab at a dose of 750 mg intravenously every 2 weeks. The primary end point was overall …

Genomic And Phenotypic Correlates Of Mosaic Loss Of Chromosome Y In Blood, Yasminka A Jakubek, Xiaolong Ma, Adrienne M Stilp, Fulong Yu, Jason Bacon, Justin W Wong, Francois Aguet, Kristin Ardlie, Donna K Arnett, Kathleen Barnes, Joshua C Bis, Tom Blackwell, Lewis C Becker, Eric Boerwinkle, Russell P Bowler, Matthew J Budoff, April P Carson, Jiawen Chen, Michael H Cho, Josef Coresh, Nancy J Cox, Paul S De Vries, Dawn L Demeo, David W Fardo, Myriam Fornage, Xiuqing Guo, Michael E Hall, Nancy Heard-Costa, Bertha Hidalgo, Marguerite Ryan Irvin, Andrew D Johnson, Eric Jorgenson, Eimear E Kenny, Michael D Kessler, Daniel Levy, Yun Li, Joao A C Lima, Yongmei Liu, Adam E Locke, Ruth J F Loos, Mitchell J Machiela, Rasika A Mathias, Braxton D Mitchell, Joanne M Murabito, Josyf C Mychaleckyj, Kari E North, Peter Orchard, Stephen C J Parker, Yash Pershad, Patricia A Peyser, Katherine A Pratte, Bruce M Psaty, Laura M Raffield, Susan Redline, Stephen S Rich, Jerome I Rotter, Sanjiv J Shah, Jennifer A Smith, Aaron P Smith, Albert Smith, Margaret A Taub, Hemant K Tiwari, Russell Tracy, Bjoernar Tuftin, Alexander G Bick, Vijay G Sankaran, Alexander P Reiner, Paul Scheet, Paul L Auer

Faculty, Staff and Student Publications

Mosaic loss of Y (mLOY) is the most common somatic chromosomal alteration detected in human blood. The presence of mLOY is associated with altered blood cell counts and increased risk of Alzheimer disease, solid tumors, and other age-related diseases. We sought to gain a better understanding of genetic drivers and associated phenotypes of mLOY through analyses of whole-genome sequencing (WGS) of a large set of genetically diverse males from the Trans-Omics for Precision Medicine (TOPMed) program. We show that haplotype-based calling methods can be used with WGS data to successfully identify mLOY events. This approach enabled us to identify differences …

Dna-Binding Affinity And Specificity Determine The Phenotypic Diversity In Bcl11b-Related Disorders, Ivana Lessel, Anja Baresic, Ivan K Chinn, Jonathan May, Anu Goenka, Kate E Chandler, Jennifer E Posey, Alexandra Afenjar, Luisa Averdunk, Maria Francesca Bedeschi, Thomas Besnard, Rae Brager, Lauren Brick, Melanie Brugger, Theresa Brunet, Susan Byrne, Oscar De La Calle-Martín, Valeria Capra, Paul Cardenas, Céline Chappé, Hey J Chong, Benjamin Cogne, Erin Conboy, Heidi Cope, Thomas Courtin, Wallid Deb, Robertino Dilena, Christèle Dubourg, Magdeldin Elgizouli, Erica Fernandes, Kristi K Fitzgerald, Silvana Gangi, Jaya K George-Abraham, Muge Gucsavas-Calikoglu, Tobias B Haack, Medard Hadonou, Britta Hanker, Irina Hüning, Maria Iascone, Bertrand Isidor, Irma Järvelä, Jay J Jin, Alexander A L Jorge, Dragana Josifova, Ruta Kalinauskiene, Erik-Jan Kamsteeg, Boris Keren, Elena Kessler, Heike Kölbel, Mariya Kozenko, Christian Kubisch, Alma Kuechler, Suzanne M Leal, Juha Leppälä, Sharon M Luu, Gholson J Lyon, Suneeta Madan-Khetarpal, Margherita Mancardi, Elaine Marchi, Lakshmi Mehta, Beatriz Menendez, Chantal F Morel, Sue Moyer Harasink, Dayna-Lynn Nevay, Vincenzo Nigro, Sylvie Odent, Renske Oegema, John Pappas, Matthew T Pastore, Yezmin Perilla-Young, Konrad Platzer, Nina Powell-Hamilton, Rachel Rabin, Aisha Rekab, Raissa C Rezende, Leema Robert, Ferruccio Romano, Marcello Scala, Karin Poths, Isabelle Schrauwen, Jessica Sebastian, John Short, Richard Sidlow, Jennifer Sullivan, Katalin Szakszon, Queenie K G Tan, Undiagnosed Diseases Network, Matias Wagner, Dagmar Wieczorek, Bo Yuan, Nicole Maeding, Dirk Strunk, Amber Begtrup, Siddharth Banka, James R Lupski, Eva Tolosa, Davor Lessel

Faculty, Staff and Students Publications

BCL11B is a Cys2-His2 zinc-finger (C2H2-ZnF) domain-containing, DNA-binding, transcription factor with established roles in the development of various organs and tissues, primarily the immune and nervous systems. BCL11B germline variants have been associated with a variety of developmental syndromes. However, genotype-phenotype correlations along with pathophysiologic mechanisms of selected variants mostly remain elusive. To dissect these, we performed genotype-phenotype correlations of 92 affected individuals harboring a pathogenic or likely pathogenic BCL11B variant, followed by immune phenotyping, analysis of chromatin immunoprecipitation DNA-sequencing data, dual-luciferase reporter assays, and molecular modeling. These integrative analyses enabled us to define three clinical subtypes of BCL11B-related disorders. …

Oncogenic Kras Mutations Confer A Unique Mechanotransduction Response To Peristalsis In Colorectal Cancer Cells, Abigail J Clevenger, Claudia A Collier, John Paul M Gorley, Sarah Colijn, Maygan K Mcfarlin, Spencer C Solberg, Scott Kopetz, Amber N Stratman, Shreya A Raghavan

Faculty, Staff and Student Publications

Colorectal cancer tumors start as polyps on the inner lining of the colorectum, in which they are exposed to the mechanics of peristalsis. Our previous work leveraged a custom-built peristalsis bioreactor to demonstrate that colonic peristalsis led to cancer stem cell enrichment in colorectal cancer cells. However, this malignant mechanotransductive response was confined to select colorectal cancer lines that harbored an oncogenic mutation in the Kirsten rat sarcoma virus (KRAS) gene. In this study, we explored the involvement of activating KRAS mutations on peristalsis-associated mechanotransduction in colorectal cancer. Peristalsis enriched cancer stem cell marker Leucine-rich repeat-containing G protein-coupled receptor 5 …

Proceedings Of The 1st Biannual Bridging The Gaps In Lung Cancer Conference, Narjust Florez, Sandip P Patel, Heather Wakelee, Lyudmila Bazhenova, Erminia Massarelli, Ravi Salgia, Brendon Stiles, Solange Peters, Jyoti Malhotra, Shirish M Gadgeel, Jorge J Nieva, Michelle Afkhami, Fred R Hirsch, Matthew Gubens, Tina Cascone, Benjamin Levy, Joshua Sabari, Hatim Husain, Patrick C Ma, Leah M Backhus, Puneeth Iyengar, Percy Lee, Russell Miller, Jacob Sands, Edward Kim

Faculty, Staff and Student Publications

Lung cancer is the leading cause of cancer death in the US and globally. The mortality from lung cancer has been declining, due to a reduction in incidence and advances in treatment. Although recent success in developing targeted and immunotherapies for lung cancer has benefitted patients, it has also expanded the complexity of potential treatment options for health care providers. To aid in reducing such complexity, experts in oncology convened a conference (Bridging the Gaps in Lung Cancer) to identify current knowledge gaps and controversies in the diagnosis, treatment, and outcomes of various lung cancer scenarios, as described here. Such …

Differentiating Between Renal Medullary And Clear Cell Renal Carcinoma With A Machine Learning Radiomics Approach, Rahim Jiwani, Koustav Pal, Iwan Paolucci, Bruno Odisio, Kristy Brock, Nizar M Tannir, Daniel D Shapiro, Pavlos Msaouel, Rahul A Sheth

Faculty, Staff and Student Publications

Background: The objective of this study was to develop and validate a radiomics-based machine learning (ML) model to differentiate between renal medullary carcinoma (RMC) and clear cell renal carcinoma (ccRCC).

Methods: This retrospective Institutional Review Board -approved study analyzed CT images and clinical data from patients with RMC (n = 87) and ccRCC (n = 93). Patients without contrast-enhanced CT scans obtained before nephrectomy were excluded. A standard volumetric software package (MIM 7.1.4, MIM Software Inc.) was used for contouring, after which 949 radiomics features were extracted with PyRadiomics 3.1.0. Radiomics analysis was then performed with RadAR for differential radiomics …

Preclinical Efficacy Of Cdk7 Inhibitor-Based Combinations Against Myeloproliferative Neoplasms Transformed To Aml, Warren Fiskus, Christopher P Mill, Prithviraj Bose, Lucia Masarova, Naveen Pemmaraju, Andrew Dunbar, Christine E Birdwell, John A Davis, Kaberi Das, Hanxi Hou, Taghi Manshouri, Antrix Jain, Anna Malovannaya, Kevin Philip, Noor Alhamadani, Alicia Matthews, Katie Lin, Lauren B Flores, Sanam Loghavi, Courtney Dinardo, Xiaoping Su, Raajit K Rampal, Kapil N Bhalla

Faculty, Staff and Student Publications

Rising blast percentage or secondary acute myeloid leukemia (sAML) transformation in myeloproliferative neoplasms (MPNs) leads to JAK1/2 inhibitor (JAKi) therapy resistance and poor survival. Here, we demonstrate that treatment with the CDK7 inhibitor (CDK7i) SY-5609 depletes phenotypically characterized post-MPN sAML stem/progenitor cells. In cultured post-MPN sAML SET2, HEL and patient-derived (PD) post-MPN sAML cells, SY-5609 treatment inhibited growth and induced lethality while sparing normal cells. RNA-sequencing analysis after SY-5609 treatment reduced mRNA expression of MYC, MYB, CDK4/6, PIM1, and CCND1 but increased expression of CDKN1A and BCL2L1. Mass spectrometry of SY-5609-treated MPN-sAML cells also reduced c-Myc, c-Myb, PIM1, and CDK4/6 …

Heterogeneous Clinical Phenotypes Of Sporadic Early-Onset Alzheimer's Disease: A Neuropsychological Data-Driven Approach, Deepti Putcha, Erik Musiek, Kyle Womack, Et Al.

2020-Current year OA Pubs

BACKGROUND: The clinical presentations of early-onset Alzheimer's disease (EOAD) and late-onset Alzheimer's disease are distinct, with EOAD having a more aggressive disease course with greater heterogeneity. Recent publications from the Longitudinal Early-Onset Alzheimer's Disease Study (LEADS) described EOAD as predominantly amnestic, though this phenotypic description was based solely on clinical judgment. To better understand the phenotypic range of EOAD presentation, we applied a neuropsychological data-driven method to subtype the LEADS cohort.

METHODS: Neuropsychological test performance from 169 amyloid-positive EOAD participants were analyzed. Education-corrected normative comparisons were made using a sample of 98 cognitively normal participants. Comparing the relative levels of …

Characterizing Features Affecting Local Ancestry Inference Performance In Admixed Populations, Jessica Honorato-Mauer, Nirav N Shah, Adam X Maihofer, Clement C Zai, Sintia Belangero, Caroline M Nievergelt, Marcos Santoro, Elizabeth G Atkinson

Faculty, Staff and Students Publications

In recent years, significant efforts have been made to improve methods for genomic studies of admixed populations using local ancestry inference (LAI). Accurate LAI is crucial to ensure that downstream analyses accurately reflect the genetic ancestry of research participants. Here, we test analytic strategies for LAI to provide guidelines for optimal accuracy, focusing on admixed populations reflective of Latin America's primary continental ancestries-African (AFR), Amerindigenous (AMR), and European (EUR). Simulating linkage-disequilibrium-informed admixed haplotypes under a variety of 2- and 3-way admixture models, we implemented a standard LAI pipeline, testing the impact of reference panel composition, DNA data type, demography, and …

Bi-Allelic Kics2 Mutations Impair Kicstor Complex-Mediated Mtorc1 Regulation, Causing Intellectual Disability And Epilepsy, Rebecca Buchert, Martin D Burkhalter, Chrisovalantou Huridou, Linda Sofan, Timo Roser, Kirsten Cremer, Javeria Raza Alvi, Stephanie Efthymiou, Tawfiq Froukh, Sughra Gulieva, Ulviyya Guliyeva, Moath Hamdallah, Muriel Holder-Espinasse, Rauan Kaiyrzhanov, Doreen Klingler, Mahmoud Koko, Lars Matthies, Joohyun Park, Marc Sturm, Ana Velic, Stephanie Spranger, Tipu Sultan, Hartmut Engels, Holger Lerche, Henry Houlden, Alistair T Pagnamenta, Ingo Borggraefe, Yvonne Weber, Penelope E Bonnen, Reza Maroofian, Olaf Riess, Jonasz J Weber, Melanie Philipp, Tobias B Haack

Faculty, Staff and Students Publications

Nutrient-dependent mTORC1 regulation upon amino acid deprivation is mediated by the KICSTOR complex, comprising SZT2, KPTN, ITFG2, and KICS2, recruiting GATOR1 to lysosomes. Previously, pathogenic SZT2 and KPTN variants have been associated with autosomal recessive intellectual disability and epileptic encephalopathy. We identified bi-allelic KICS2 variants in eleven affected individuals presenting with intellectual disability and epilepsy. These variants partly affected KICS2 stability, compromised KICSTOR complex formation, and demonstrated a deleterious impact on nutrient-dependent mTORC1 regulation of 4EBP1 and S6K. Phosphoproteome analyses extended these findings to show that KICS2 variants changed the mTORC1 proteome, affecting proteins that function in translation, splicing, and …

Design And Implementation Of An Action Plan For Justice, Equity, Diversity, And Inclusion Within The Clinical Genome Resource, Alice B Popejoy, Deborah I Ritter, Danielle Azzariti, Jonathan S Berg, Joanna E Bulkley, Mildred Cho, Claudia Gonzaga-Jauregui, Teri E Klein, Daphne O Martschenko, Akinyemi Oni-Orisan, Erin M Ramos, Heidi L Rehm, Erin R Riggs, Matthew W Wright, Michael Yudell, Sharon E Plon, Joannella Morales

Faculty, Staff and Students Publications

How might members of a large, multi-institutional research and resource consortium foster justice, equity, diversity, and inclusion as central to its mission, goals, governance, and culture? These four principles, often referred to as JEDI, can be aspirational-but to be operationalized, they must be supported by concrete actions, investments, and a persistent long-term commitment to the principles themselves, which often requires self-reflection and course correction. We present here the iterative design process implemented across the Clinical Genome Resource (ClinGen) that led to the development of an action plan to operationalize JEDI principles across three major domains, with specific deliverables and commitments …

Design And Implementation Of An Action Plan For Justice, Equity, Diversity, And Inclusion Within The Clinical Genome Resource, Alice B Popejoy, Deborah I Ritter, Danielle Azzariti, Jonathan S Berg, Joanna E Bulkley, Mildred Cho, Claudia Gonzaga-Jauregui, Teri E Klein, Daphne O Martschenko, Akinyemi Oni-Orisan, Erin M Ramos, Heidi L Rehm, Erin R Riggs, Matthew W Wright, Michael Yudell, Sharon E Plon, Joannella Morales

Faculty, Staff and Students Publications

How might members of a large, multi-institutional research and resource consortium foster justice, equity, diversity, and inclusion as central to its mission, goals, governance, and culture? These four principles, often referred to as JEDI, can be aspirational-but to be operationalized, they must be supported by concrete actions, investments, and a persistent long-term commitment to the principles themselves, which often requires self-reflection and course correction. We present here the iterative design process implemented across the Clinical Genome Resource (ClinGen) that led to the development of an action plan to operationalize JEDI principles across three major domains, with specific deliverables and commitments …

Distributed Cross-Learning For Equitable Federated Models – Privacy-Preserving Prediction On Data From Five California Hospitals, Tsung-Ting Kuo, Rodney A Gabriel, Jejo Koola, Robert T Schooley, Lucila Ohno-Machado

Faculty, Staff and Student Publications

Quality improvement, clinical research, and patient care can be supported by medical predictive analytics. Predictive models can be improved by integrating more patient records from different healthcare centers (horizontal) or integrating parts of information of a patient from different centers (vertical). We introduce Distributed Cross-Learning for Equitable Federated models (D-CLEF), which incorporates horizontally- or vertically-partitioned data without disseminating patient-level records, to protect patients' privacy. We compared D-CLEF with centralized/siloed/federated learning in horizontal or vertical scenarios. Using data of more than 15,000 patients with COVID-19 from five University of California (UC) Health medical centers, surgical data from UC San Diego, and …

Snap Participation As A Moderator Of Food And Nutrition Security And Combined Cardiometabolic Conditions: A Mixed Regression Approach, Maha Almohamad, Ruosha Li, Natalia I Heredia, Jayna M Dave, Eric E Calloway, Anjail Sharrief, Shreela V Sharma

Faculty, Staff and Student Publications

Objectives: To examine the relationships between food security, nutrition security, Supplemental Nutrition Assistance Program (SNAP) participation, and cardiometabolic outcomes, including hypertension, hyperlipidemia, or diabetes, among low-income U.S. individuals.

Methods: A cross-sectional survey of 486 participants (April–June 2021) assessed food and nutrition security and cardiometabolic outcomes. Mixed-effects logistic regression models adjusted for covariates and included a random effect for state of residence. Moderation analyses evaluated SNAP participation’s impact.

Results: Very low food security was associated with higher odds of having at least one cardiometabolic condition, such as hypertension, hyperlipidemia, or diabetes (AOR = 1.96; 95% CI: 1.04–3.69; p = 0.04). SNAP …