Medical Genetics Commons^™

Utilization Of Indoor Tanning: A Cross-Sectional Study Using Mobile Device Data, Mackenzie R Wehner, Yao Li, Ashna A Sethi, Candice L Hinkston, Nasim Khalfe, Carly F Stender, Malgorzata K Nowakowska, Olivia G Cohen, Sharon H Giordano, Eleni Linos

Faculty, Staff and Student Publications

No abstract provided.

Association Of Cumulative Colorectal Surgery Hospital Costs, Readmissions, And Emergency Department/Observation Stays With Insurance Type, Michael A Jacobs, Jasmine C Tetley, Jeongsoo Kim, Susanne Schmidt, Bradley B Brimhall, Virginia Mika, Chen-Pin Wang, Laura S Manuel, Paul Damien, Paula K Shireman

Faculty, Staff and Student Publications

Background/purpose: Medicare's Hospital Readmission Reduction Program disproportionately penalizes safety-net hospitals (SNH) caring for vulnerable populations. This study assessed the association of insurance type with 30-day emergency department visits/observation stays (EDOS), readmissions, and cumulative costs in colorectal surgery patients.

Methods: Retrospective inpatient cohort study using the National Surgical Quality Improvement Program (2013-2019) with cost data in a SNH. The odds of EDOS and readmissions and cumulative variable (index hospitalization and all 30-day EDOS and readmissions) costs were modeled adjusting for frailty, case status, presence of a stoma, and open versus laparoscopic surgery.

Results: The cohort had 245 private, 195 Medicare, and …

Towards A Better Mucolytic, Burton F Dickey, Christopher M Evans

Faculty, Staff and Student Publications

No abstract provided.

Development And Validation Of A Patient-Reported Outcome Measure To Assess Symptom Burden After Chimeric Antigen Receptor T-Cell Therapy, Xin Shelley Wang, Samer A Srour, Tito Mendoza, Meagan Whisenant, Ishwaria Subbiah, Elizabeth Gonzalez, Mona Kamal, Shu-En Shen, Charles Cleeland, Partow Kebriaei, Katayoun Rezvani, Sattva Neelapu, Sairah Ahmed, Elizabeth Shpall

Faculty, Staff and Student Publications

This cross-sectional study aimed to develop and validate a patient-reported outcomes (PROs) assessment tool to assess symptom burden and daily functioning in patients after chimeric antigen receptor (CAR) T-cell therapy, the MD Anderson Symptom Inventory (MDASI-CAR). The items were generated based on literature review, content elicitation interviews with patients, and clinician's review. The patients completed the MDASI core and module, single-item quality-of-life (QoL) measure and Patient-Reported Outcomes Measurement Information System-29 (PROMIS-29). The psychometric validation analysis was based on the acceptability after item reduction process. The final 10 MDASI-CAR module items included tremors, fever/chills, headache, balance, dizziness, attention, difficulty speaking, coughing, …

Functional Screening Of Lysosomal Storage Disorder Genes Identifies Modifiers Of Alpha-Synuclein Neurotoxicity, Meigen Yu, Hui Ye, Ruth B De-Paula, Carl Grant Mangleburg, Timothy Wu, Tom V Lee, Yarong Li, Duc Duong, Bridget Phillips, Carlos Cruchaga, Genevera I Allen, Nicholas T Seyfried, Ismael Al-Ramahi, Juan Botas, Joshua M Shulman

Faculty, Staff and Students Publications

Heterozygous variants in the glucocerebrosidase (GBA) gene are common and potent risk factors for Parkinson's disease (PD). GBA also causes the autosomal recessive lysosomal storage disorder (LSD), Gaucher disease, and emerging evidence from human genetics implicates many other LSD genes in PD susceptibility. We have systemically tested 86 conserved fly homologs of 37 human LSD genes for requirements in the aging adult Drosophila brain and for potential genetic interactions with neurodegeneration caused by α-synuclein (αSyn), which forms Lewy body pathology in PD. Our screen identifies 15 genetic enhancers of αSyn-induced progressive locomotor dysfunction, including knockdown of fly homologs of GBA …

Prevalence And Descriptive Epidemiology Of Turner Syndrome In The United States, 2000-2017: A Report From The National Birth Defects Prevention Network, Bailey A Martin-Giacalone, Angela E Lin, Sonja A Rasmussen, Russell S Kirby, Eirini Nestoridi, Rebecca F Liberman, A J Agopian, John C Carey, Janet D Cragan, Nina Forestieri, Vinita Leedom, Aubree Boyce, Wendy N Nembhard, Monika Piccardi, Theresa Sandidge, Xiaoyi Shan, Charles J Shumate, Erin B Stallings, Roger Stevenson, Philip J Lupo

Faculty, Staff and Students Publications

The lack of United States population-based data on Turner syndrome limits assessments of prevalence and associated characteristics for this sex chromosome abnormality. Therefore, we collated 2000-2017 data from seven birth defects surveillance programs within the National Birth Defects Prevention Network. We estimated the prevalence of karyotype-confirmed Turner syndrome diagnosed within the first year of life. We also calculated the proportion of cases with commonly ascertained birth defects, assessed associations with maternal and infant characteristics using prevalence ratios (PR) with 95% confidence intervals (CI), and estimated survival probability. The prevalence of Turner syndrome of any pregnancy outcome was 3.2 per 10,000 …

Exosomes, Microvesicles, And Other Extracellular Vesicles-A Keystone Symposia Report, Jennifer Cable, Kenneth W Witwer, Robert J Coffey, Aleksandar Milosavljevic, Ariana K Von Lersner, Lizandra Jimenez, Ferdinando Pucci, Maureen M Barr, Niek Dekker, Bahnisikha Barman, Daniel Humphrys, Justin Williams, Michele De Palma, Wei Guo, Nuno Bastos, Andrew F Hill, Efrat Levy, Michael P Hantak, Clair Crewe, Elena Aikawa, Alan M Adamczyk, Tamires M Zanotto, Matias Ostrowski, Tanina Arab, Daniel C Rabe, Aadil Sheikh, Danilo Rodrigues Da Silva, Jennifer C Jones, Chioma Okeoma, Thomas Gaborski, Qin Zhang, Olesia Gololobova

Faculty, Staff and Students Publications

Extracellular vesicles (EVs) are small, lipid-bilayer-bound particles released by cells that can contain important bioactive molecules, including lipids, RNAs, and proteins. Once released in the extracellular environment, EVs can act as messengers locally as well as to distant tissues to coordinate tissue homeostasis and systemic responses. There is a growing interest in not only understanding the physiology of EVs as signaling particles but also leveraging them as minimally invasive diagnostic and prognostic biomarkers (e.g., they can be found in biofluids) and drug-delivery vehicles. On October 30-November 2, 2022, researchers in the EV field convened for the Keystone symposium "Exosomes, Microvesicles, …

Genome-Wide Analysis Of Structural Variants In Parkinson Disease, Kimberley J Billingsley, Jinhui Ding, Pilar Alvarez Jerez, Anastasia Illarionova, Kristin Levine, Francis P Grenn, Mary B Makarious, Anni Moore, Daniel Vitale, Xylena Reed, Dena Hernandez, Ali Torkamani, Mina Ryten, John Hardy, Uk Brain Expression Consortium (Ukbec), Ruth Chia, Sonja W Scholz, Bryan J Traynor, Clifton L Dalgard, Debra J Ehrlich, Toshiko Tanaka, Luigi Ferrucci, Thomas G Beach, Geidy E Serrano, John P Quinn, Vivien J Bubb, Ryan L Collins, Xuefang Zhao, Mark Walker, Emma Pierce-Hoffman, Harrison Brand, Michael E Talkowski, Bradford Casey, Mark R Cookson, Androo Markham, Mike A Nalls, Medhat Mahmoud, Fritz J Sedlazeck, Cornelis Blauwendraat, J Raphael Gibbs, Andrew B Singleton

Faculty, Staff and Students Publications

OBJECTIVE: Identification of genetic risk factors for Parkinson disease (PD) has to date been primarily limited to the study of single nucleotide variants, which only represent a small fraction of the genetic variation in the human genome. Consequently, causal variants for most PD risk are not known. Here we focused on structural variants (SVs), which represent a major source of genetic variation in the human genome. We aimed to discover SVs associated with PD risk by performing the first large-scale characterization of SVs in PD.

METHODS: We leveraged a recently developed computational pipeline to detect and genotype SVs from 7,772 …

Evaluation Of Retinal Nerve Fibre Layer Thickness As A Possible Measure Of Diabetic Retinal Neurodegeneration In The Epic-Norfolk Eye Study, Sidra Zafar, Kristen A Staggers, Jie Gao, Yao Liu, Praveen J Patel, Paul J Foster, Benjamin J Frankfort, Michael Abramoff, Charles G Minard, Alasdair Warwick, Anthony P Khawaja, Roomasa Channa

Faculty, Staff and Students Publications

BACKGROUND/AIMS: Markers to clinically evaluate structural changes from diabetic retinal neurodegeneration (DRN) have not yet been established. To study the potential role of peripapillary retinal nerve fibre layer (pRNFL) thickness as a marker for DRN, we evaluated the relationship between diabetes, as well as glycaemic control irrespective of diabetes status and pRNFL thickness.

METHODS: Leveraging data from a population-based cohort, we used general linear mixed models (GLMMs) with a random intercept for patient and eye to assess the association between pRNFL thickness (measured using GDx) and demographic, systemic and ocular parameters after adjusting for typical scan score. GLMMs were also …

Comparison Of Neurocognitive And Quality-Of-Life Outcomes In Pediatric Craniopharyngioma Patients Treated With Partial Resection And Radiotherapy Versus Gross-Total Resection Only, Guillermo Aldave, M Fatih Okcu, Murali Chintagumpala, Lucia Ruggieri, Charles G Minard, Fatema Malbari, Lisa E Mash, Arnold C Paulino, Susan Mcgovern, Uma Ramaswamy, William Whitehead, Lisa S Kahalley

Faculty, Staff and Students Publications

OBJECTIVE: The optimal management of pediatric craniopharyngioma patients remains controversial, shifting from radical resection (gross-total resection [GTR]) to a more conservative approach with partial resection/biopsy followed by radiotherapy (PR+RT). To the authors' knowledge, no previous studies have compared neurocognitive and quality-of-life (QOL) outcomes between the two main treatments. In this study, the authors compared changes in intellectual, adaptive, and QOL scores in children treated for craniopharyngioma with GTR and those treated with PR+RT.

METHODS: Patients underwent annual neurocognitive and QOL evaluations for up to 10 years posttreatment, including the Full-Scale IQ, Verbal Comprehension Index (VCI), Perceptual Reasoning Index (PRI), Working …

Cascade Testing After Exome Sequencing: Retrospective Analysis Of Linked Family Data At 2 Us Laboratories, Julie Stefka, Haley Streff, Pengfei Liu, Meghan Towne, Hadley Stevens Smith

Faculty, Staff and Students Publications

Purpose: Cascade testing, the process of testing a proband's at-risk relatives, is integral to realizing the full value of genomic sequencing. However, there is little empirical evidence on the uptake of cascade testing after a positive exome sequencing (ES) result in a population of probands with diverse clinical indications.

Methods: We retrospectively reviewed administrative data from 2 US clinical laboratories that perform ES. For each proband with a positive ES result, we used linked family data to describe the frequency of relatives' cascade testing performed at the same laboratory, variant detection yield of cascade tests, and characteristics of probands and …

Epigenetic Age Acceleration Among Survivors Of Pediatric Medulloblastoma And Primitive Neuroectodermal Tumor, Rachel D Harris, Melissa A Richard, Maria Monica J Gramatges, Kevin Wilhelm, Michael E Scheurer, Philip J Lupo, Austin L Brown

Faculty, Staff and Students Publications

Survivors of childhood central nervous system (CNS) tumors experience early-onset aging-related phenotypes. DNA methylation (DNAm) age is an emerging epigenetic biomarker of physiologic age and may be predictive of chronic health conditions in long-term survivors. This report describes the course of epigenetic age acceleration using post-diagnosis blood samples (median: 3.9 years post-diagnosis; range: 0.04–15.96) from 83 survivors of pediatric CNS tumors. Epigenetic age acceleration was detected in 72% of patients, with an average difference between chronologic and dnam age of 2.58 years (95% Ci: 1.75–3.41, p < 0.001). Time from diagnosis to sample collection correlated with the magnitude of epigenetic age acceleration.

Alveolar Rhabdomyosarcoma Has Superior Response Rates To Vinorelbine Compared To Embryonal Rhabdomyosarcoma In Patients With Relapsed/Refractory Disease: A Meta-Analysis, Wendy Allen-Rhoades, Philip J Lupo, Michael E Scheurer, Yueh-Yun Chi, John F Kuttesch, Rajkumar Venkatramani, William H Meyer, Leo Mascarenhas

Faculty, Staff and Students Publications

BACKGROUND: Patients with alveolar rhabdomyosarcoma (ARMS) have inferior outcomes compared to patients with embryonal rhabdomyosarcoma (ERMS) and more effective chemotherapy options are needed for these patients. Vinorelbine is a semisynthetic vinca alkaloid that has clinical activity in relapsed rhabdomyosarcoma (RMS) when used alone or in combination with cyclophosphamide.

AIMS: The goal of our study was to evaluate whether RMS histology subtype influences response rate to vinorelbine alone or in combination.

MATERIALS & METHODS: Five Phase 2 trials that enrolled RMS patients were included in the meta-analysis. Two studies evaluated vinorelbine alone, two studies evaluated vinorelbine in combination with low dose …

A Weakly Structured Stem For Human Origins In Africa, Aaron P Ragsdale, Timothy D Weaver, Elizabeth G Atkinson, Eileen G Hoal, Marlo Möller, Brenna M Henn, Simon Gravel

Faculty, Staff and Students Publications

Despite broad agreement that Homo sapiens originated in Africa, considerable uncertainty surrounds specific models of divergence and migration across the continent1. Progress is hampered by a shortage of fossil and genomic data, as well as variability in previous estimates of divergence times1. Here we seek to discriminate among such models by considering linkage disequilibrium and diversity-based statistics, optimized for rapid, complex demographic inference2. We infer detailed demographic models for populations across Africa, including eastern and western representatives, and newly sequenced whole genomes from 44 Nama (Khoe-San) individuals from southern Africa. We infer a reticulated …

Specific Causes Of Excess Late Mortality And Association With Modifiable Risk Factors Among Survivors Of Childhood Cancer: A Report From The Childhood Cancer Survivor Study Cohort, Stephanie B Dixon, Qi Liu, Eric J Chow, Kevin C Oeffinger, Paul C Nathan, Rebecca M Howell, Wendy M Leisenring, Matthew J Ehrhardt, Kirsten K Ness, Kevin R Krull, Ann C Mertens, Melissa M Hudson, Leslie L Robison, Yutaka Yasui, Gregory T Armstrong

Faculty, Staff and Student Publications

Background: 5-year survival after childhood cancer does not fully describe life-years lost due to childhood cancer because there are a large number of deaths occurring beyond 5-years (late mortality) related to cancer and cancer treatment. Specific causes of health-related (non-recurrence, non-external) late mortality and risk reduction through modifiable lifestyle and cardiovascular risk factors are not well described. Through using a well-characterised cohort of 5-year survivors of the most common childhood cancers, we evaluated specific health-related causes of late mortality and excess deaths compared with the general US population and identified targets to reduce future risk.

Methods: In this multi-institutional, hospital-based, …

The Genetic Determinants Of Recurrent Somatic Mutations In 43,693 Blood Genomes, Joshua S Weinstock, Cecelia A Laurie, Jai G Broome, Kent D Taylor, Xiuqing Guo, Alan R Shuldiner, Jeffrey R O'Connell, Joshua P Lewis, Eric Boerwinkle, Kathleen C Barnes, Nathalie Chami, Eimear E Kenny, Ruth J F Loos, Myriam Fornage, Susan Redline, Brian E Cade, Frank D Gilliland, Zhanghua Chen, W James Gauderman, Rajesh Kumar, Leslie Grammer, Robert P Schleimer, Bruce M Psaty, Joshua C Bis, Jennifer A Brody, Edwin K Silverman, Jeong H Yun, Dandi Qiao, Scott T Weiss, Jessica Lasky-Su, Dawn L Demeo, Nicholette D Palmer, Barry I Freedman, Donald W Bowden, Michael H Cho, Ramachandran S Vasan, Andrew D Johnson, Lisa R Yanek, Lewis C Becker, Sharon Kardia, Jiang He, Robert Kaplan, Susan R Heckbert, Nicholas L Smith, Kerri L Wiggins, Donna K Arnett, Marguerite R Irvin, Hemant Tiwari, Adolfo Correa, Laura M Raffield, Yan Gao, Mariza De Andrade, Jerome I Rotter, Stephen S Rich, Ani W Manichaikul, Barbara A Konkle, Jill M Johnsen, Marsha M Wheeler, Brian S Custer, Ravindranath Duggirala, Joanne E Curran, John Blangero, Hongsheng Gui, Shujie Xiao, L Keoki Williams, Deborah A Meyers, Xingnan Li, Victor Ortega, Stephen Mcgarvey, C Charles Gu, Yii-Der Ida Chen, Wen-Jane Lee, M Benjamin Shoemaker, Dawood Darbar, Dan Roden, Christine Albert, Charles Kooperberg, Pinkal Desai, Thomas W Blackwell, Goncalo R Abecasis, Albert V Smith, Hyun M Kang, Rasika Mathias, Pradeep Natarajan, Siddhartha Jaiswal, Alexander P Reiner, Alexander G Bick, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium

Faculty, Staff and Student Publications

Nononcogenic somatic mutations are thought to be uncommon and inconsequential. To test this, we analyzed 43,693 National Heart, Lung and Blood Institute Trans-Omics for Precision Medicine blood whole genomes from 37 cohorts and identified 7131 non-missense somatic mutations that are recurrently mutated in at least 50 individuals. These recurrent non-missense somatic mutations (RNMSMs) are not clearly explained by other clonal phenomena such as clonal hematopoiesis. RNMSM prevalence increased with age, with an average 50-year-old having 27 RNMSMs. Inherited germline variation associated with RNMSM acquisition. These variants were found in genes involved in adaptive immune function, proinflammatory cytokine production, and lymphoid …

A Precision Environmental Health Approach To Prevention Of Human Disease, Andrea Baccarelli, Dana C Dolinoy, Cheryl Lyn Walker

Faculty, Staff and Students Publications

Human health is determined by the interaction of our environment with the genome, epigenome, and microbiome, which shape the transcriptomic, proteomic, and metabolomic landscape of cells and tissues. Precision environmental health is an emerging field leveraging environmental and system-level ('omic) data to understand underlying environmental causes of disease, identify biomarkers of exposure and response, and develop new prevention and intervention strategies. In this article we provide real-life illustrations of the utility of precision environmental health approaches, identify current challenges in the field, and outline new opportunities to promote health through a precision environmental health framework.

Consensus Proposal For Revised International Working Group 2023 Response Criteria For Higher-Risk Myelodysplastic Syndromes, Amer M Zeidan, Uwe Platzbecker, Jan Philipp Bewersdorf, Maximilian Stahl, Lionel Adès, Uma Borate, David Bowen, Rena Buckstein, Andrew Brunner, Hetty E Carraway, Naval Daver, Maria Díez-Campelo, Theo De Witte, Amy E Dezern, Fabio Efficace, Guillermo Garcia-Manero, Jacqueline S Garcia, Ulrich Germing, Aristoteles Giagounidis, Elizabeth A Griffiths, Robert P Hasserjian, Eva Hellström-Lindberg, Marcelo Iastrebner, Rami Komrokji, Austin G Kulasekararaj, Luca Malcovati, Yasushi Miyazaki, Olatoyosi Odenike, Valeria Santini, Guillermo Sanz, Phillip Scheinberg, Reinhard Stauder, Arjan A Van De Loosdrecht, Andrew H Wei, Mikkael A Sekeres, Pierre Fenaux

Faculty, Staff and Student Publications

Myelodysplastic syndromes/myelodysplastic neoplasms (MDS) are associated with variable clinical presentations and outcomes. The initial response criteria developed by the International Working Group (IWG) in 2000 have been used in clinical practice, clinical trials, regulatory reviews, and drug labels. Although the IWG criteria were revised in 2006 and 2018 (the latter focusing on lower-risk disease), limitations persist in their application to higher-risk MDS (HR-MDS) and their ability to fully capture the clinical benefits of novel investigational drugs or serve as valid surrogates for longer-term clinical end points (eg, overall survival). Further, issues related to the ambiguity and practicality of some criteria …

Positive Selection Of Somatically Mutated Clones Identifies Adaptive Pathways In Metabolic Liver Disease, Zixi Wang, Shijia Zhu, Yuemeng Jia, Yunguan Wang, Naoto Kubota, Naoto Fujiwara, Ruth Gordillo, Cheryl Lewis, Min Zhu, Tripti Sharma, Lin Li, Qiyu Zeng, Yu-Hsuan Lin, Meng-Hsiung Hsieh, Purva Gopal, Tao Wang, Matt Hoare, Peter Campbell, Yujin Hoshida, Hao Zhu

Faculty, Staff and Student Publications

Somatic mutations in nonmalignant tissues accumulate with age and injury, but whether these mutations are adaptive on the cellular or organismal levels is unclear. To interrogate genes in human metabolic disease, we performed lineage tracing in mice harboring somatic mosaicism subjected to nonalcoholic steatohepatitis (NASH). Proof-of-concept studies with mosaic loss of Mboat7, a membrane lipid acyltransferase, showed that increased steatosis accelerated clonal disappearance. Next, we induced pooled mosaicism in 63 known NASH genes, allowing us to trace mutant clones side by side. This in vivo tracing platform, which we coined MOSAICS, selected for mutations that ameliorate lipotoxicity, including mutant genes …

Bridging Clinic And Wildlife Care With Ai-Powered Pan-Species Computational Pathology, Khalid Abduljabbar, Simon P Castillo, Katherine Hughes, Hannah Davidson, Amy M Boddy, Lisa M Abegglen, Lucia Minoli, Selina Iussich, Elizabeth P Murchison, Trevor A Graham, Simon Spiro, Carlo C Maley, Luca Aresu, Chiara Palmieri, Yinyin Yuan

Faculty, Staff and Student Publications

Cancers occur across species. Understanding what is consistent and varies across species can provide new insights into cancer initiation and evolution, with significant implications for animal welfare and wildlife conservation. We build a pan-species cancer digital pathology atlas (panspecies.ai) and conduct a pan-species study of computational comparative pathology using a supervised convolutional neural network algorithm trained on human samples. The artificial intelligence algorithm achieves high accuracy in measuring immune response through single-cell classification for two transmissible cancers (canine transmissible venereal tumour, 0.94; Tasmanian devil facial tumour disease, 0.88). In 18 other vertebrate species (mammalia = 11, reptilia = 4, aves …

Armo: Automated And Reliable Multi-Objective Model For Lymph Node Metastasis Prediction In Head And Neck Cancer, Zhiguo Zhou, Liyuan Chen, Michael Dohopolski, David Sher, Jing Wang

Faculty, Staff and Student Publications

Objective:

Accurate diagnosis of lymph node metastasis (LNM) is critical in treatment management for patients with head & neck cancer. Positron emission tomography (PET) and computed tomography (CT) are routinely used for identifying LNM status. However, for small or less fluorodeoxyglucose (FDG) avid nodes, there are always uncertainties in LNM diagnosis. We are aiming to develop a reliable prediction model is for identifying LNM.

Approach:

In this study, a new automated and reliable multi-objective learning model (ARMO) is proposed. In ARMO, a multi-objective model is introduced to obtain balanced sensitivity and specificity. Meanwhile, confidence is calibrated by introducing individual reliability, …

Machine Learning Models For The Identification Of Prognostic And Predictive Cancer Biomarkers: A Systematic Review, Qasem Al-Tashi, Maliazurina B Saad, Amgad Muneer, Rizwan Qureshi, Seyedali Mirjalili, Ajay Sheshadri, Xiuning Le, Natalie I Vokes, Jianjun Zhang, Jia Wu

Faculty, Staff and Student Publications

The identification of biomarkers plays a crucial role in personalized medicine, both in the clinical and research settings. However, the contrast between predictive and prognostic biomarkers can be challenging due to the overlap between the two. A prognostic biomarker predicts the future outcome of cancer, regardless of treatment, and a predictive biomarker predicts the effectiveness of a therapeutic intervention. Misclassifying a prognostic biomarker as predictive (or vice versa) can have serious financial and personal consequences for patients. To address this issue, various statistical and machine learning approaches have been developed. The aim of this study is to present an in-depth …

Development And Validation Of A Prediction Model For Kidney Failure In Long-Term Survivors Of Childhood Cancer, Natalie L Wu, Yan Chen, Bryan V Dieffenbach, Matthew J Ehrhardt, Sangeeta Hingorani, Rebecca M Howell, John L Jefferies, Daniel A Mulrooney, Kevin C Oeffinger, Leslie L Robison, Brent R Weil, Yan Yuan, Yutaka Yasui, Melissa M Hudson, Wendy M Leisenring, Gregory T Armstrong, Eric J Chow

Faculty, Staff and Student Publications

Purpose: Kidney failure is a rare but serious late effect following treatment for childhood cancer. We developed a model using demographic and treatment characteristics to predict individual risk of kidney failure among 5-year survivors of childhood cancer.

Methods: Five-year survivors from the Childhood Cancer Survivor Study (CCSS) without history of kidney failure (n = 25,483) were assessed for subsequent kidney failure (ie, dialysis, kidney transplantation, or kidney-related death) by age 40 years. Outcomes were identified by self-report and linkage with the Organ Procurement and Transplantation Network and the National Death Index. A sibling cohort (n = 5,045) served as a …

An Altered Extracellular Matrix-Integrin Interface Contributes To Huntington’S Disease-Associated Cns Dysfunction In Glial And Vascular Cells, Sarah J Hernandez, Ryan G Lim, Tarik Onur, Mark A Dane, Rebecca Smith, Keona Wang, Grace En-Hway Jean, Andrea Reyes-Ortiz, Kaylyn Devlin, Ricardo Miramontes, Jie Wu, Malcolm Casale, David Kilburn, Laura M Heiser, James E Korkola, David Van Vactor, Juan Botas, Katherine L Thompson-Peer, Leslie M Thompson

Faculty, Staff and Students Publications

Astrocytes and brain endothelial cells are components of the neurovascular unit that comprises the blood-brain barrier (BBB) and their dysfunction contributes to pathogenesis in Huntington's disease (HD). Defining the contribution of these cells to disease can inform cell-type-specific effects and uncover new disease-modifying therapeutic targets. These cells express integrin (ITG) adhesion receptors that anchor the cells to the extracellular matrix (ECM) to maintain the integrity of the BBB. We used HD patient-derived induced pluripotent stem cell (iPSC) modeling to study the ECM-ITG interface in astrocytes and brain microvascular endothelial cells and found ECM-ITG dysregulation in human iPSC-derived cells that may …

Assessment And Prediction Of Glioblastoma Therapy Response: Challenges And Opportunities, Dan Qi, Jing Li, C Chad Quarles, Ekokobe Fonkem, Erxi Wu

Faculty, Staff and Student Publications

Glioblastoma is the most aggressive type of primary adult brain tumour. The median survival of patients with glioblastoma remains approximately 15 months, and the 5-year survival rate is < 10%. Current treatment options are limited, and the standard of care has remained relatively constant since 2011. Over the last decade, a range of different treatment regimens have been investigated with very limited success. Tumour recurrence is almost inevitable with the current treatment strategies, as glioblastoma tumours are highly heterogeneous and invasive. Additionally, another challenging issue facing patients with glioblastoma is how to distinguish between tumour progression and treatment effects, especially when relying on routine diagnostic imaging techniques in the clinic. The specificity of routine imaging for identifying tumour progression early or in a timely manner is poor due to the appearance similarity of post-treatment effects. Here, we concisely describe the current status and challenges in the assessment and early prediction of therapy response and the early detection of tumour progression or recurrence. We also summarize and discuss studies of advanced approaches such as quantitative imaging, liquid biomarker discovery and machine intelligence that hold exceptional potential to aid in the therapy monitoring of this malignancy and early prediction of therapy response, which may decisively transform the conventional detection methods in the era of precision medicine.

Sptssa Variants Alter Sphingolipid Synthesis And Cause A Complex Hereditary Spastic Paraplegia, Siddharth Srivastava, Hagar Mor Shaked, Kenneth Gable, Sita D Gupta, Xueyang Pan, Niranjanakumari Somashekarappa, Gongshe Han, Payam Mohassel, Marc Gotkine, Elizabeth Doney, Paula Goldenberg, Queenie K G Tan, Yi Gong, Benjamin Kleinstiver, Brian Wishart, Heidi Cope, Claudia Brito Pires, Hannah Stutzman, Rebecca C Spillmann, Undiagnosed Disease Network, Reza Sadjadi, Orly Elpeleg, Chia-Hsueh Lee, Hugo J Bellen, Simon Edvardson, Florian Eichler, Teresa M Dunn

Faculty, Staff and Students Publications

Sphingolipids are a diverse family of lipids with critical structural and signalling functions in the mammalian nervous system, where they are abundant in myelin membranes. Serine palmitoyltransferase, the enzyme that catalyses the rate-limiting reaction of sphingolipid synthesis, is composed of multiple subunits including an activating subunit, SPTSSA. Sphingolipids are both essential and cytotoxic and their synthesis must therefore be tightly regulated. Key to the homeostatic regulation are the ORMDL proteins that are bound to serine palmitoyltransferase and mediate feedback inhibition of enzymatic activity when sphingolipid levels become excessive. Exome sequencing identified potential disease-causing variants in SPTSSA in three children presenting …

Deep-Learning-Based Hepatic Ploidy Quantification Using H&E Histopathology Images, Zhuoyu Wen, Yu-Hsuan Lin, Shidan Wang, Naoto Fujiwara, Ruichen Rong, Kevin W Jin, Donghan M Yang, Bo Yao, Shengjie Yang, Tao Wang, Yang Xie, Yujin Hoshida, Hao Zhu, Guanghua Xiao

Faculty, Staff and Student Publications

Polyploidy, the duplication of the entire genome within a single cell, is a significant characteristic of cells in many tissues, including the liver. The quantification of hepatic ploidy typically relies on flow cytometry and immunofluorescence (IF) imaging, which are not widely available in clinical settings due to high financial and time costs. To improve accessibility for clinical samples, we developed a computational algorithm to quantify hepatic ploidy using hematoxylin-eosin (H&E) histopathology images, which are commonly obtained during routine clinical practice. Our algorithm uses a deep learning model to first segment and classify different types of cell nuclei in H&E images. …

The Potential Regulation Of A-To-I Rna Editing On Genes In Parkinson's Disease, Sijia Wu, Qiuping Xue, Xinyu Qin, Xiaoming Wu, Pora Kim, Jacqueline Chyr, Xiaobo Zhou, Liyu Huang

Faculty, Staff and Student Publications

Parkinson's disease (PD) is characterized by dopaminergic neurodegeneration and an abnormal accumulation of α-synuclein aggregates. A number of genetic factors have been shown to increase the risk of PD. Exploring the underlying molecular mechanisms that mediate PD's transcriptomic diversity can help us understand neurodegenerative pathogenesis. In this study, we identified 9897 A-to-I RNA editing events associated with 6286 genes across 372 PD patients. Of them, 72 RNA editing events altered miRNA binding sites and this may directly affect miRNA regulations of their host genes. However, RNA editing effects on the miRNA regulation of genes are more complex. They can (1) …

Molecular Disparity Of Hla-Dpb1 Is Associated With The Development Of Subsequent Solid Cancer After Allogeneic Hematopoietic Stem Cell Transplantation, Jun Zou, Piyanuch Kongtim, Betül Oran, Samer A Srour, Uri Greenbaum, Yudith Carmazzi, Gabriela Rondon, Stefan O Ciurea, Qing Ma, Elizabeth J Shpall, Richard E Champlin, Kai Cao

Faculty, Staff and Student Publications

Background: An increased incidence of subsequent solid cancers (SSCs) has been reported in long-term survivors of allogeneic hematopoietic stem cell transplantation (allo-HSCT), and SSC is associated with inferior mortality and morbidity. Previous studies showed that the incidence of SSC is significantly higher in those who underwent allo-HSCT from HLA-mismatched donors, suggesting that persistent alloimmunity may predispose patients to SSCs. It was recently reported that, in a cohort of patients who received allo-HSCT from an unrelated donor matched at HLA-A, -B, -C, -DRB1/3/4/5, and -DQB1 loci, HLA-DPB1 alloimmunity determined by high mismatched eplets (MEs) and Predicted Indirectly Recognizable HLA Epitopes (PIRCHE) …

Ethnic-Specific Predictors Of Neurotoxicity Among Patients With Pediatric Acute Lymphoblastic Leukemia After High-Dose Methotrexate, Rachel D Harris, Melanie Brooke Bernhardt, Mark C Zobeck, Olga A Taylor, Maria Monica Gramatges, Eric S Schafer, Philip J Lupo, Karen R Rabin, Michael E Scheurer, Austin L Brown

Faculty, Staff and Students Publications

High-dose methotrexate (HD-MTX; 5,000 mg/m2) is an important component of curative therapy in many treatment regimens for high-risk pediatric acute lymphoblastic leukemia (ALL). However, methotrexate therapy can result in dose-limiting neurotoxicity which may disproportionately affect Latino children. Thus, we evaluated risk factors for neurotoxicity in an ethnically diverse population of 351 patients (58.1% Latino) who received 1,183 HD-MTX infusions. Overall, thirty-five patients (10%) experienced neurotoxicity, 71% of whom were Latino. After adjusting for clinical risk factors, we found that serum creatinine elevations ≥50% of baseline were associated with a 3-fold increased odds (OR = 3.32, 95% CI: 0.98-11.21, p=0.05) for …