Medical Genetics Commons^™

The Glycoprotein Cd147 Defines Mirna-Enriched Extracellular Vesicles That Derive From Cancer Cells, Song Yi Ko, Wonjae Lee, Melanie Weigert, Eric Jonasch, Ernst Lengyel, Honami Naora

Faculty, Staff and Student Publications

Extracellular vesicles (EVs) are ideal for liquid biopsy, but distinguishing cancer cell‐derived EVs and subpopulations of biomarker‐containing EVs in body fluids has been challenging. Here, we identified that the glycoproteins CD147 and CD98 define subpopulations of EVs that are distinct from classical tetraspanin+ EVs in their biogenesis. Notably, we identified that CD147+ EVs have substantially higher microRNA (miRNA) content than tetraspanin+ EVs and are selectively enriched in miRNA through the interaction of CD147 with heterogeneous nuclear ribonucleoprotein A2/B1. Studies using mouse xenograft models showed that CD147+ EVs predominantly derive from cancer cells, whereas the majority of tetraspanin+ EVs are not …

Leukocyte Tyrosine Kinase (Ltk) Is The Mendelian Determinant Of The Axolotl Melanoid Color Variant, Mirindi Kabangu, Raissa Cecil, Lloyd Strohl Ii, Nataliya Y. Timoshevskaya, Jeramiah James Smith, Stephen Randal Voss

Markey Cancer Center Faculty Publications

The great diversity of color patterns observed among amphibians is largely explained by the differentiation of relatively few pigment cell types during development. Mexican axolotls present a variety of color phenotypes that span the continuum from leucistic to highly melanistic. The melanoid axolotl is a Mendelian variant characterized by large numbers of melanophores, proportionally fewer xanthophores, and no iridophores. Early studies of melanoid were influential in developing the single-origin hypothesis of pigment cell development, wherein it has been proposed that all three pigment cell types derive from a common progenitor cell, with pigment metabolites playing potential roles in directing the …

Machine Learning And Health Care: Potential Benefits And Issues, J Graham Atkinson, Elizabeth G Atkinson

Faculty, Staff and Students Publications

We discuss the potential for machine learning (ML) and artificial intelligence (AI) to improve health care, while detailing caveats and important considerations to ensure unbiased and equitable implementation. If disparities exist in the data used to train ML algorithms, they must be recognized and accounted for, so they do not bias performance accuracy or are not interpreted by the algorithm as simply a lack of need. We pay particular attention to an area in which bias in data composition is particularly striking, that is in large-scale genetics databases, as people of European descent are vastly overrepresented in the existing resources.

Familial Hypercholesterolemia In The Electronic Medical Records And Genomics Network: Prevalence, Penetrance, Cardiovascular Risk, And Outcomes After Return Of Results, Ozan Dikilitas, Alborz Sherafati, Seyedmohammad Saadatagah, Benjamin A Satterfield, David C Kochan, Katherine C Anderson, Wendy K Chung, Scott J Hebbring, Zachary M Salvati, Richard R Sharp, Amy C Sturm, Richard A Gibbs, Robb Rowley, Eric Venner, Jodell E Linder, Laney K Jones, Emma F Perez, Josh F Peterson, Gail P Jarvik, Heidi L Rehm, Hana Zouk, Dan M Roden, Marc S Williams, Teri A Manolio, Iftikhar J Kullo

Faculty, Staff and Students Publications

BACKGROUND: The implications of secondary findings detected in large-scale sequencing projects remain uncertain. We assessed prevalence and penetrance of pathogenic familial hypercholesterolemia (FH) variants, their association with coronary heart disease (CHD), and 1-year outcomes following return of results in phase III of the electronic medical records and genomics network.

METHODS: Adult participants (n=18 544) at 7 sites were enrolled in a prospective cohort study to assess the clinical impact of returning results from targeted sequencing of 68 actionable genes, including

RESULTS: The prevalence of FH-associated pathogenic variants was 1 in 188 (69 of 13,019 unselected participants). Penetrance was 87.5%. The …

Kcna1 Gain-Of-Function Epileptic Encephalopathy Treated With 4-Aminopyridine, Peter Müller, Danielle S Takacs, Ulrike B S Hedrich, Rohini Coorg, Laura Masters, Kevin E Glinton, Hongzheng Dai, Jon A Cokley, James J Riviello, Holger Lerche, Edward C Cooper

Faculty, Staff and Students Publications

Precision medicine for Mendelian epilepsy is rapidly developing. We describe an early infant with severely pharmacoresistant multifocal epilepsy. Exome sequencing revealed the de novo variant p.(Leu296Phe) in the gene KCNA1, encoding the voltage‐gated K+ channel subunit KV1.1. So far, loss‐of‐function variants in KCNA1 have been associated with episodic ataxia type 1 or epilepsy. Functional studies of the mutated subunit in oocytes revealed a gain‐of‐function caused by a hyperpolarizing shift of voltage dependence. Leu296Phe channels are sensitive to block by 4‐aminopyridine. Clinical use of 4‐aminopyridine was associated with reduced seizure burden, enabled simplification of co‐medication and prevented rehospitalization.

Aerosolized Immunotherapeutic Nanoparticle Inhalation Potentiates Pd-L1 Blockade For Locally Advanced Lung Cancer, Yang Liu, William N Crowe, Lulu Wang, W Jeffrey Petty, Amyn A Habib, Dawen Zhao

Faculty, Staff and Student Publications

Despite therapeutic advancements, the prognosis of locally advanced non-small cell lung cancer (LANSCLC), which has invaded multiple lobes or the other lung and intrapulmonary lymph nodes, remains poor. The emergence of immunotherapy with immune checkpoint blockade (ICB) is transforming cancer treatment. However, only a fraction of lung cancer patients benefit from ICB. Significant clinical evidence suggests that the proinflammatory tumor microenvironment (TME) and programmed death-ligand 1 (PD-L1) expression correlate positively with response to the PD-1/PD-L1 blockade. We report here a liposomal nanoparticle loaded with cyclic dinucleotide and aerosolized (AeroNP-CDN) for inhalation delivery to deep-seated lung tumors and target CDN to …

Loss Of Neuron Navigator 2 Impairs Brain And Cerebellar Development, Andrea Accogli, Shenzhao Lu, Ilaria Musante, Paolo Scudieri, Jill A Rosenfeld, Mariasavina Severino, Simona Baldassari, Michele Iacomino, Antonella Riva, Ganna Balagura, Gianluca Piccolo, Carlo Minetti, Denis Roberto, Fan Xia, Razaali Razak, Emily Lawrence, Mohamed Hussein, Emmanuel Yih-Herng Chang, Michelle Holick, Elisa Calì, Emanuela Aliberto, Rosalba De-Sarro, Antonio Gambardella, Undiagnosed Diseases Network, Synaps Study Group, Lisa Emrick, Peter J A Mccaffery, Margaret Clagett-Dame, Paul C Marcogliese, Hugo J Bellen, Seema R Lalani, Federico Zara, Pasquale Striano, Vincenzo Salpietro

Faculty, Staff and Students Publications

Cerebellar hypoplasia and dysplasia encompass a group of clinically and genetically heterogeneous disorders frequently associated with neurodevelopmental impairment. The Neuron Navigator 2 (NAV2) gene (MIM: 607,026) encodes a member of the Neuron Navigator protein family, widely expressed within the central nervous system (CNS), and particularly abundant in the developing cerebellum. Evidence across different species supports a pivotal function of NAV2 in cytoskeletal dynamics and neurite outgrowth. Specifically, deficiency of Nav2 in mice leads to cerebellar hypoplasia with abnormal foliation due to impaired axonal outgrowth. However, little is known about the involvement of the NAV2 gene in human disease phenotypes. In …

Natural History Of Tango2 Deficiency Disorder: Baseline Assessment Of 73 Patients, Christina Y Miyake, Erica J Lay, Claudia Soler-Alfonso, Kevin E Glinton, Kimberly M Houck, Mustafa Tosur, Nancy E Moran, Sara B Stephens, Fernando Scaglia, Taylor S Howard, Jeffrey J Kim, Tam Dam Pham, Santiago O Valdes, Na Li, Chaya N Murali, Lilei Zhang, Maina Kava, Deane Yim, Cheyenne Beach, Gregory Webster, Leonardo Liberman, Christopher M Janson, Prince J Kannankeril, Samantha Baxter, Moriel Singer-Berk, Jordan Wood, Samuel J Mackenzie, Michael Sacher, Lina Ghaloul-Gonzalez, Claudia Pedroza, Shaine A Morris, Saad A Ehsan, Mahshid S Azamian, Seema R Lalani

Faculty, Staff and Students Publications

PURPOSE: TANGO2 deficiency disorder (TDD), an autosomal recessive disease first reported in 2016, is characterized by neurodevelopmental delay, seizures, intermittent ataxia, hypothyroidism, and life-threatening metabolic and cardiac crises. The purpose of this study was to define the natural history of TDD.

METHODS: Data were collected from an ongoing natural history study of patients with TDD enrolled between February 2019 and May 2022. Data were obtained through phone or video based parent interviews and medical record review.

RESULTS: Data were collected from 73 patients (59% male) from 57 unrelated families living in 16 different countries. The median age of participants at …

Molecular Function And Contribution Of Tbx4 In Development And Disease, Justyna A Karolak, Carrie L Welch, Christian Mosimann, Katarzyna Bzdęga, James D West, David Montani, Mélanie Eyries, Mary P Mullen, Steven H Abman, Matina Prapa, Stefan Gräf, Nicholas W Morrell, Anna R Hemnes, Frédéric Perros, Rizwan Hamid, Malcolm P O Logan, Jeffrey Whitsett, Csaba Galambos, Paweł Stankiewicz, Wendy K Chung, Eric D Austin

Faculty, Staff and Students Publications

Over the past decade, recognition of the profound impact of the TBX4 (T-box 4) gene, which encodes a member of the evolutionarily conserved family of T-box–containing transcription factors, on respiratory diseases has emerged. The developmental importance of TBX4 is emphasized by the association of TBX4 variants with congenital disorders involving respiratory and skeletal structures; however, the exact role of TBX4 in human development remains incompletely understood. Here, we discuss the developmental, tissue-specific, and pathological TBX4 functions identified through human and animal studies and review the published TBX4 variants resulting in variable disease phenotypes. We also outline future research …

Artificial Intelligence-Based Ct Assessment Of Bronchiectasis: The Copdgene Study, Alejandro A Díaz, Pietro Nardelli, Wei Wang, Rubén San José Estépar, Andrew Yen, Seth Kligerman, Diego J Maselli, Wojciech R Dolliver, Andrew Tsao, José L Orejas, Stefano Aliberti, Timothy R Aksamit, Kendra A Young, Gregory L Kinney, George R Washko, Edwin K Silverman, Raúl San José Estépar

Faculty, Staff and Student Publications

Background

CT is the standard method used to assess bronchiectasis. A higher airway-to-artery diameter ratio (AAR) is typically used to identify enlarged bronchi and bronchiectasis; however, current imaging methods are limited in assessing the extent of this metric in CT scans.

Purpose

To determine the extent of AARs using an artificial intelligence–based chest CT and assess the association of AARs with exacerbations over time.

Materials and Methods

In a secondary analysis of ever-smokers from the prospective, observational, multicenter COPDGene study, AARs were quantified using an artificial intelligence tool. The percentage of airways with AAR greater than 1 (a measure of …

Comparative Analysis Of Dimension Reduction Methods For Cytometry By Time-Of-Flight Data, Kaiwen Wang, Yuqiu Yang, Fangjiang Wu, Bing Song, Xinlei Wang, Tao Wang

Faculty, Staff and Student Publications

While experimental and informatic techniques around single cell sequencing (scRNA-seq) are advanced, research around mass cytometry (CyTOF) data analysis has severely lagged behind. CyTOF data are notably different from scRNA-seq data in many aspects. This calls for the evaluation and development of computational methods specific for CyTOF data. Dimension reduction (DR) is one of the critical steps of single cell data analysis. Here, we benchmark the performances of 21 DR methods on 110 real and 425 synthetic CyTOF samples. We find that less well-known methods like SAUCIE, SQuaD-MDS, and scvis are the overall best performers. In particular, SAUCIE and scvis …

Emotional, Behavioral, And Physical Health Consequences Of Loneliness In Young Adult Survivors Of Childhood Cancer: Results From The Childhood Cancer Survivor Study, Chiara Papini, Ameera A Fayad, Mingjuan Wang, Fiona S M Schulte, I-Chan Huang, Yu-Ping Chang, Rebecca M Howell, Deokumar Srivastava, Wendy M Leisenring, Gregory T Armstrong, Todd M Gibson, Leslie L Robison, Kevin C Oeffinger, Kevin R Krull, Tara M Brinkman

Faculty, Staff and Student Publications

Background: Young adults in the general population are at risk of experiencing loneliness, which has been associated with physical and mental health morbidities. The prevalence and consequences of loneliness in young adult survivors of childhood cancer remain unknown.

Methods: A total of 9664 young adult survivors of childhood cancer (median age at diagnosis 10.5 years [interquartile range (IQR), 5-15], 27.1 years at baseline [IQR, 23-32]) and 2221 siblings enrolled in the Childhood Cancer Survivor Study completed a self-reported survey question assessing loneliness on the Brief Symptom Inventory-18 at baseline and follow-up (median follow-up, 6.6 years). Multivariable models evaluated the prevalence …

Integrated Pathologic Score Effectively Stratifies Patients With Pancreatic Ductal Adenocarcinoma Who Received Neoadjuvant Therapy And Pancreaticoduodenectomy, Aaron J Sohn, Mehran Taherian, Matthew H G Katz, Laura R Prakash, Deyali Chatterjee, Hua Wang, Michael Kim, Ching-Wei D Tzeng, Jeffrey E Lee, Naruhiko Ikoma, Asif Rashid, Robert A Wolff, Dan Zhao, Eugene J Koay, Ryan Sun, Anirban Maitra, Huamin Wang

Faculty, Staff and Student Publications

Neoadjuvant therapy is increasingly used to treat patients with pancreatic ductal adenocarcinoma (PDAC). Pathologic parameters of treated PDAC, including tumor (ypT) and lymph node (ypN) stage, and tumor response grading (TRG) are important prognostic factors in this group of patients. To our knowledge, a multifactorial prognostic score combining pathologic features including ypT, ypN, and TRG in treated PDAC patients has not been reported. Our cohort consisted of 398 PDAC patients who received neoadjuvant therapy and underwent pancreaticoduodenectomy at our institution. All pancreaticoduodenectomy specimens were grossly and microscopically evaluated using a standard protocol. The integrated pathologic score (IPS) was calculated as …

Data Partitioning And Statistical Considerations For Association Of Radiomic Features To Biological Underpinnings: What Is Needed, Michael A Jacobs

Faculty, Staff and Student Publications

No abstract provided.

Patient Radiation Doses In Interventional Radiology Procedures: Comparison Of Fluoroscopy Dose Indices Between The American College Of Radiology Dose Index Registry-Fluoroscopy Pilot And The Radiation Doses In Interventional Radiology Study, A Kyle Jones, Kevin A Wunderle, Tom Fruscello, Michael Simanowith, Brendan Cline, Shalmali Dharmadhikari, Xinhui Duan, Jeremy C Durack, David Hirschl, Don-Soo Kim, Usman Mahmood, Steve D Mann, Charles Martin, Zeyad Metwalli, Jeffrey M Moirano, Rebecca A Neill, Janice Newsome, Horacio Padua, Alan H Schoenfeld, Donald L Miller

Faculty, Staff and Student Publications

Purpose: To compare radiation dose index distributions for fluoroscopically guided interventions in interventional radiology from the American College of Radiology (ACR) Fluoroscopy Dose Index Registry (DIR-Fluoro) pilot to those from the Radiation Doses in Interventional Radiology (RAD-IR) study.

Materials and methods: Individual and grouped ACR Common identification numbers (procedure types) from the DIR-Fluoro pilot were matched to procedure types in the RAD-IR study. Fifteen comparisons were made. Distribution parameters, including the 10th, 25th, 50th, 75th, and 95th percentiles, were compared for fluoroscopy time (FT), cumulative air kerma (Ka,r), and kerma area product (PKA). Two derived indices were computed using median …

Patient Radiation Doses In Ir Procedures: The American College Of Radiology Dose Index Registry-Fluoroscopy Pilot, A Kyle Jones, Kevin A Wunderle, Tom Fruscello, Michael Simanowith, Brendan Cline, Shalmali Dharmadhikari, Xinhui Duan, Jeremy C Durack, David Hirschl, Don-Soo Kim, Usman Mahmood, Steve D Mann, Charles Martin, Zeyad Metwalli, Jeffrey M Moirano, Rebecca A Neill, Janice Newsome, Horacio Padua, Alan H Schoenfeld, Donald L Miller

Faculty, Staff and Student Publications

Purpose: To update normative data on fluoroscopy dose indices in the United States for the first time since the Radiation Doses in Interventional Radiology study in the late 1990s.

Materials and methods: The Dose Index Registry-Fluoroscopy pilot study collected data from March 2018 through December 2019, with 50 fluoroscopes from 10 sites submitting data. Primary radiation dose indices including fluoroscopy time (FT), cumulative air kerma (Ka,r), and kerma area product (PKA) were collected for interventional radiology fluoroscopically guided interventional (FGI) procedures. Clinical facility procedure names were mapped to the American College of Radiology (ACR) common procedure lexicon. Distribution parameters including …

Renal-Hepatic-Pancreatic Dysplasia Type 2: Perinatal Lethal Condition Or A Multisystemic Disorder With Variable Expressivity, Kathryn Gunther, Essam M Imseis, Joyce P Samuel, Elizabeth A Hillman, Tiina H Ojala, Timo Jahnukainen, Paul R Hillman

Faculty, Staff and Student Publications

BACKGROUND: Renal-hepatic-pancreatic dysplasia type 2 (RHPD2) is a rare condition that has been described in the literature disproportionately in perinatal losses. The main features of liver and kidney involvement are well described, with cardiac malformations and cardiomyopathy adding additional variation to the phenotype. Many patients reported are within larger cohorts of congenital anomalies of kidney and urinary tract (CAKUT) or liver failure, and with minimal phenotypic and clinical course data.

METHODS: An independent series of phenotypes and prognosis was aggregated from the literature. In this literature review, we describe an additional patient with RHPD2, provide a clinical update on the …

Letter To The Editor: Quality Criteria For Computational Models Predicting Individual Outcomes In Car-T Cell Therapy, Anna M Mc Laughlin, Cassian Yee

Faculty, Staff and Student Publications

No abstract provided.

Long-Term Outcomes Of Allogeneic Hematopoietic Cell Transplantation In Patients With Newly Diagnosed Multiple Myeloma, Aimaz Afrough, Leonard C Alsfeld, Denái R Milton, Ruby Delgado, Uday R Popat, Yago Nieto, Partow Kebriaei, Betul Oran, Neeraj Saini, Samer Srour, Chitra Hosing, Faisal H Cheema, Sairah Ahmed, Elisabet E Manasanch, Hans C Lee, Gregory P Kaufman, Krina K Patel, Donna M Weber, Robert Z Orlowski, Chelsea C Pinnix, Bouthaina S Dabaja, Sheeba K Thomas, Richard E Champlin, Elizabeth J Shpall, Muzaffar H Qazilbash, Qaiser Bashir

Faculty, Staff and Student Publications

Despite remarkable progress in survival with the availability of novel agents, an overwhelming majority of patients with multiple myeloma (MM) have disease that relapses. Allogeneic (allo-) hematopoietic cell transplantation (HCT) is a potentially curative option for a subgroup of patients with high-risk MM. This study assessed the long-term outcome of MM patients who underwent allo-HCT while in first remission as consolidation treatment. Thirty-three patients with newly diagnosed MM who underwent allo-HCT as part of consolidation therapy between 1994 and 2016 were reviewed retrospectively. Of these patients, 70% underwent autologous HCT before allo-HCT. All patients were chemosensitive and achieved at least …

Prediction Of Survival With Lower Intensity Therapy Among Older Patients With Acute Myeloid Leukemia, Koji Sasaki, Farhad Ravandi, Tapan M Kadia, Gautam Borthakur, Nicholas J Short, Nitin Jain, Naval G Daver, Elias J Jabbour, Guillermo Garcia-Manero, Sanam Loghavi, Keyur P Patel, Guillermo Montalban-Bravo, Lucia Masarova, Courtney D Dinardo, Hagop M Kantarjian

Faculty, Staff and Student Publications

BACKGROUND: The aim of this study was to develop a prognostic model for survival in older/unfit patients with newly diagnosed acute myeloid leukemia (AML) who were treated with lower-intensity chemotherapy regimens.

METHODS: The authors reviewed all older/unfit patients with newly diagnosed AML who received lower-intensity chemotherapy from 2000 until 2020 at their institution. A total of 1462 patients were included. They were divided (3:1 basis) into a training (n = 1088) and a validation group (n = 374).

RESULTS: In the training cohort of 1088 patients (median age, 72 years), the multivariate analysis identified 11 consistent independent adverse factors associated …

The Outcomes Of Patients With Chronic Myeloid Leukemia Treated With Third-Line Bcr::Abl1 Tyrosine Kinase Inhibitors, Elias J Jabbour, Koji Sasaki, Fadi G Haddad, Ghayas C Issa, Guillermo Garcia-Manero, Tapan M Kadia, Nitin Jain, Musa Yilmaz, Courtney D Dinardo, Keyur P Patel, Rashmi Kanagal-Shamanna, Richard Champlin, Issa F Khouri, Sara Dellasala, Sherry A Pierce, Hagop Kantarjian

Faculty, Staff and Student Publications

The BCR::ABL1 tyrosine kinase inhibitors (TKIs) have improved the outcomes of patients with chronic myeloid leukemia (CML). After failing second-generation TKI (2G-TKI), the optimal third-line therapy in chronic phase CML (CML-CP) is not well established. We analyzed 354 patients with CML-CP treated with a third-line BCR::ABL1 TKI at our institution, and in the PACE and OPTIC trials, and evaluated the outcome after alternate 2G-TKIs or ponatinib. We performed a propensity score matching analysis to compare outcomes and multivariate analysis to identify variables associated with survival. One hundred seventy-three (49%) patients received 2G-TKIs and 181 (51%) ponatinib. Patients in the ponatinib …

Tissue Specificity And Spatio-Temporal Dynamics Of The P53 Transcriptional Program, Vinod Pant, Chang Sun, Guillermina Lozano

Faculty, Staff and Student Publications

Transcription factors regulate hundreds of genes and p53 is no exception. As a stress responsive protein, p53 transactivates an array of downstream targets which define its role in maintaining physiological functions of cells/tissues. Despite decades of studies, our understanding of the p53 in vivo transcriptional program is still incomplete. Here we discuss some of the physiological stressors that activate p53, the pathological and physiological implications of p53 activation and the molecular profiling of the p53 transcriptional program in maintaining tissue homeostasis. We argue that the p53 transcriptional program is spatiotemporally regulated in a tissue-specific manner and define a p53 target …

Advancing Car T Cell Therapy Through The Use Of Multidimensional Omics Data, Jingwen Yang, Yamei Chen, Ying Jing, Michael R Green, Leng Han

Faculty, Staff and Student Publications

Despite the notable success of chimeric antigen receptor (CAR) T cell therapies in the treatment of certain haematological malignancies, challenges remain in optimizing CAR designs and cell products, improving response rates, extending the durability of remissions, reducing toxicity and broadening the utility of this therapeutic modality to other cancer types. Data from multidimensional omics analyses, including genomics, epigenomics, transcriptomics, T cell receptor-repertoire profiling, proteomics, metabolomics and/or microbiomics, provide unique opportunities to dissect the complex and dynamic multifactorial phenotypes, processes and responses of CAR T cells as well as to discover novel tumour targets and pathways of resistance. In this Review, …

Axicabtagene Ciloleucel In Relapsed Or Refractory Large B-Cell Lymphoma Patients In Complete Metabolic Response, Andrew P Jallouk, Sushanth Gouni, Jason Westin, Lei Feng, Haleigh Mistry, Raphael E Steiner, Jinsu James, Mansoor Noorani, Sandra Horowitz, Nahum Puebla-Osorio, Luis E Fayad, Swaminathan P Iyer, Misha Hawkins, Christopher R Flowers, Sairah Ahmed, Loretta J Nastoupil, Partow Kebriaei, Elizabeth J Shpall, Sattva S Neelapu, Yago Nieto, Paolo Strati

Faculty, Staff and Student Publications

No abstract provided.

Inconsistent Partitioning And Unproductive Feature Associations Yield Idealized Radiomic Models, Mishka Gidwani, Ken Chang, Jay Biren Patel, Katharina Viktoria Hoebel, Syed Rakin Ahmed, Praveer Singh, Clifton David Fuller, Jayashree Kalpathy-Cramer

Faculty, Staff and Student Publications

Background Radiomics is the extraction of predefined mathematic features from medical images for the prediction of variables of clinical interest. While some studies report superlative accuracy of radiomic machine learning (ML) models, the published methodology is often incomplete, and the results are rarely validated in external testing data sets. Purpose To characterize the type, prevalence, and statistical impact of methodologic errors present in radiomic ML studies. Materials and Methods Radiomic ML publications were reviewed for the presence of performance-inflating methodologic flaws. Common flaws were subsequently reproduced with randomly generated features interpolated from publicly available radiomic data sets to demonstrate the …

A Deep-Learning-Based Dose Verification Tool Utilizing Fluence Maps For A Cobalt-60 Compensator-Based Intensity-Modulated Radiation Therapy System, Kyuhak Oh, Mary P Gronberg, Tucker J Netherton, Bishwambhar Sengupta, Carlos E Cardenas, Laurence E Court, Eric C Ford

Faculty, Staff and Student Publications

Background and purpose: A novel cobalt-60 compensator-based intensity-modulated radiation therapy (IMRT) system was developed for a resource-limited environment but lacked an efficient dose verification algorithm. The aim of this study was to develop a deep-learning-based dose verification algorithm for accurate and rapid dose predictions.

Materials and methods: A deep-learning network was employed to predict the doses from static fields related to beam commissioning. Inputs were a cube-shaped phantom, a beam binary mask, and an intersecting volume of the phantom and beam binary mask, while output was a 3-dimensional (3D) dose. The same network was extended to predict patient-specific doses for …

Antagonistic Pleiotropy In Alzheimer's Disease, Annie Hollis

Undergraduate Research Conference

Apolipoprotein E (APOE) ε4 allele has been linked with Alzheimer’s disease; specifically having two copies of the APOE ε4 allele greatly increases the risk of developing Alzheimer’s disease in older age. Studies have attempted to relate an antagonistic pleiotropy hypothesis to this gene, i.e., the ε4 allele has positive effects on cognition and memory in early life and negative effects later in life. Many of these studies have had several limitations and conflicting results, such as testing adults in upper middle age or comparing the absence of the ε4 allele with the presence of at least one ε4 allele. Studies …

Genetic Correlations Between Alzheimer’S Disease And Gut Microbiome Genera, Davis Cammann, Yimei Lu, Melika J Cummings, Mark L Zhang, Joan Manuel Cue, Jenifer Do, Jeffrey Ebersole, Xiangning Chen, Edwin C Oh, Jeffrey L Cummings, Jingchun Chen

Faculty, Staff and Student Publications

A growing body of evidence suggests that dysbiosis of the human gut microbiota is associated with neurodegenerative diseases like Alzheimer's disease (AD) via neuroinflammatory processes across the microbiota-gut-brain axis. The gut microbiota affects brain health through the secretion of toxins and short-chain fatty acids, which modulates gut permeability and numerous immune functions. Observational studies indicate that AD patients have reduced microbiome diversity, which could contribute to the pathogenesis of the disease. Uncovering the genetic basis of microbial abundance and its effect on AD could suggest lifestyle changes that may reduce an individual's risk for the disease. Using the largest genome-wide …

Genome-Wide Crispr Screens Reveal Zatt As A Synthetic Lethal Target Of Top2-Poison Etoposide That Can Act In A Tdp2-Independent Pathway, Jeong-Min Park, Huimin Zhang, Litong Nie, Chao Wang, Min Huang, Xu Feng, Mengfan Tang, Zhen Chen, Yun Xiong, Namsoo Lee, Siting Li, Ling Yin, Traver Hart, Junjie Chen

Faculty, Staff and Student Publications

Etoposide (ETO) is an anticancer drug that targets topoisomerase II (TOP2). It stabilizes a normally transient TOP2-DNA covalent complex (TOP2cc), thus leading to DNA double-strand breaks (DSBs). Tyrosyl-DNA phosphodiesterases two (TDP2) is directly involved in the repair of TOP2cc by removing phosphotyrosyl peptides from 5'-termini of DSBs. Recent studies suggest that additional factors are required for TOP2cc repair, which include the proteasome and the zinc finger protein associated with TDP2 and TOP2, named ZATT. ZATT may alter the conformation of TOP2cc in a way that renders the accessibility of TDP2 for TOP2cc removal. In this study, our genome-wide clustered regularly …

The En-Tex Resource Of Multi-Tissue Personal Epigenomes & Variant-Impact Models, Joel Rozowsky, Jiahao Gao, Beatrice Borsari, Yucheng T Yang, Timur Galeev, Gamze Gürsoy, Charles B Epstein, Kun Xiong, Jinrui Xu, Tianxiao Li, Jason Liu, Keyang Yu, Ana Berthel, Zhanlin Chen, Fabio Navarro, Maxwell S Sun, James Wright, Justin Chang, Christopher J F Cameron, Noam Shoresh, Elizabeth Gaskell, Jorg Drenkow, Jessika Adrian, Sergey Aganezov, François Aguet, Gabriela Balderrama-Gutierrez, Samridhi Banskota, Guillermo Barreto Corona, Sora Chee, Surya B Chhetri, Gabriel Conte Cortez Martins, Cassidy Danyko, Carrie A Davis, Daniel Farid, Nina P Farrell, Idan Gabdank, Yoel Gofin, David U Gorkin, Mengting Gu, Vivian Hecht, Benjamin C Hitz, Robbyn Issner, Yunzhe Jiang, Melanie Kirsche, Xiangmeng Kong, Bonita R Lam, Shantao Li, Bian Li, Xiqi Li, Khine Zin Lin, Ruibang Luo, Mark Mackiewicz, Ran Meng, Jill E Moore, Jonathan Mudge, Nicholas Nelson, Chad Nusbaum, Ioann Popov, Henry E Pratt, Yunjiang Qiu, Srividya Ramakrishnan, Joe Raymond, Leonidas Salichos, Alexandra Scavelli, Jacob M Schreiber, Fritz J Sedlazeck, Lei Hoon See, Rachel M Sherman, Xu Shi, Minyi Shi, Cricket Alicia Sloan, J Seth Strattan, Zhen Tan, Forrest Y Tanaka, Anna Vlasova, Jun Wang, Jonathan Werner, Brian Williams, Min Xu, Chengfei Yan, Lu Yu, Christopher Zaleski, Jing Zhang, Kristin Ardlie, J Michael Cherry, Eric M Mendenhall, William S Noble, Zhiping Weng, Morgan E Levine, Alexander Dobin, Barbara Wold, Ali Mortazavi, Bing Ren, Jesse Gillis, Richard M Myers, Michael P Snyder, Jyoti Choudhary, Aleksandar Milosavljevic, Michael C Schatz, Bradley E Bernstein, Roderic Guigó, Thomas R Gingeras, Mark Gerstein

Faculty, Staff and Students Publications

Understanding how genetic variants impact molecular phenotypes is a key goal of functional genomics, currently hindered by reliance on a single haploid reference genome. Here, we present the EN-TEx resource of 1,635 open-access datasets from four donors (∼30 tissues × ∼15 assays). The datasets are mapped to matched, diploid genomes with long-read phasing and structural variants, instantiating a catalog of >1 million allele-specific loci. These loci exhibit coordinated activity along haplotypes and are less conserved than corresponding, non-allele-specific ones. Surprisingly, a deep-learning transformer model can predict the allele-specific activity based only on local nucleotide-sequence context, highlighting the importance of transcription-factor-binding …