Medicine and Health Sciences Commons^™

Stratifying Heart Failure Patients With Graph Neural Network And Transformer Using Electronic Health Records To Optimize Drug Response Prediction, Shaika Chowdhury, Yongbin Chen, Pengyang Li, Sivaraman Rajaganapathy, Andrew Wen, Xiao Ma, Qiying Dai, Yue Yu, Sunyang Fu, Xiaoqian Jiang, Zhe He, Sunghwan Sohn, Xiaoke Liu, Suzette J Bielinski, Alanna M Chamberlain, James R Cerhan, Nansu Zong

Faculty, Staff and Student Publications

Objectives: Heart failure (HF) impacts millions of patients worldwide, yet the variability in treatment responses remains a major challenge for healthcare professionals. The current treatment strategies, largely derived from population based evidence, often fail to consider the unique characteristics of individual patients, resulting in suboptimal outcomes. This study aims to develop computational models that are patient-specific in predicting treatment outcomes, by utilizing a large Electronic Health Records (EHR) database. The goal is to improve drug response predictions by identifying specific HF patient subgroups that are likely to benefit from existing HF medications.

Materials and methods: A novel, graph-based model capable …

Assessing The Reproducibility Of Research Based On The Food And Drug Administration Manufacturer And User Facility Device Experience Data, Xinyu Li, Yubo Feng, Yang Gong, You Chen

Faculty, Staff and Student Publications

Objective: This article aims to assess the reproducibility of Manufacturer and User Facility Device Experience (MAUDE) data-driven studies by analyzing the data queries used in their research processes.

Methods: Studies using MAUDE data were sourced from PubMed by searching for "MAUDE" or "Manufacturer and User Facility Device Experience" in titles or abstracts. We manually chose articles with executable queries. The reproducibility of each query was assessed by replicating it in the MAUDE Application Programming Interface. The reproducibility of a query is determined by a reproducibility coefficient that ranges from 0.95 to 1.05. This coefficient is calculated by comparing the number …

Case-Case Genome-Wide Analyses Identify Subtype-Informative Variants That Confer Risk For Breast Cancer, Xiaohui Sun, Shiv P Verma, Guochong Jia, Xinjun Wang, Jie Ping, Xingyi Guo, Xiao-Ou Shu, Jianhong Chen, Andriy Derkach, Qiuyin Cai, Xiaolin Liang, Jirong Long, Kenneth Offit, Jung H Oh, Anne S Reiner, Gordon P Watt, Meghan Woods, Yaohua Yang, Christine B Ambrosone, Stefan Ambs, Yu Chen, Patrick Concannon, Montserrat Garcia-Closas, Jian Gu, Christopher A Haiman, Jennifer J Hu, Dezheng Huo, Esther M John, Julia A Knight, Christopher I Li, Charles F Lynch, Lene Mellemkjær, Katherine L Nathanson, Barbara Nemesure, Olufunmilayo I Olopade, Andrew F Olshan, Tuya Pal, Julie R Palmer, Michael F Press, Maureen Sanderson, Dale P Sandler, Melissa A Troester, Wei Zheng, Jonine L Bernstein, Matthew F Buas, Xiang Shu

Faculty, Staff and Student Publications

Breast cancer includes several subtypes with distinct characteristic biological, pathologic, and clinical features. Elucidating subtype-specific genetic etiology could provide insights into the heterogeneity of breast cancer to facilitate the development of improved prevention and treatment approaches. In this study, we conducted pairwise case-case comparisons among five breast cancer subtypes by applying a case-case genome-wide association study (CC-GWAS) approach to summary statistics data of the Breast Cancer Association Consortium. The approach identified 13 statistically significant loci and eight suggestive loci, the majority of which were identified from comparisons between triple-negative breast cancer (TNBC) and luminal A breast cancer. Associations of lead …

Why Do Patients With Cancer Die?, Adrienne Boire, Katy Burke, Thomas R Cox, Theresa Guise, Mariam Jamal-Hanjani, Tobias Janowitz, Rosandra Kaplan, Rebecca Lee, Charles Swanton, Matthew G Vander Heiden, Erik Sahai

Faculty, Staff and Student Publications

Cancer is a major cause of global mortality, both in affluent countries and increasingly in developing nations. Many patients with cancer experience reduced life expectancy and have metastatic disease at the time of death. However, the more precise causes of mortality and patient deterioration before death remain poorly understood. This scarcity of information, particularly the lack of mechanistic insights, presents a challenge for the development of novel treatment strategies to improve the quality of, and potentially extend, life for patients with late-stage cancer. In addition, earlier deployment of existing strategies to prolong quality of life is highly desirable. In this …

A Cell Cycle-Aware Network For Data Integration And Label Transferring Of Single-Cell Rna-Seq And Atac-Seq, Jiajia Liu, Jian Ma, Jianguo Wen, Xiaobo Zhou

Faculty, Staff and Student Publications

In recent years, the integration of single-cell multi-omics data has provided a more comprehensive understanding of cell functions and internal regulatory mechanisms from a non-single omics perspective, but it still suffers many challenges, such as omics-variance, sparsity, cell heterogeneity, and confounding factors. As it is known, the cell cycle is regarded as a confounder when analyzing other factors in single-cell RNA-seq data, but it is not clear how it will work on the integrated single-cell multi-omics data. Here, a cell cycle-aware network (CCAN) is developed to remove cell cycle effects from the integrated single-cell multi-omics data while keeping the cell …

Meniscus Tears In Elite Athletes: Treatment Considerations, Clinical Outcomes, And Return To Play, Erick M Marigi, Michael R Davies, Robert G Marx, Scott A Rodeo, Riley J Williams

Faculty, Staff and Student Publications

PURPOSE OF REVIEW: Management of meniscal injuries in the elite athlete is a difficult problem secondary to the high demands of athletic competition, the need for a timely return to sport, and the desire to maximize performance over time. The purpose of this review is to provide an up-to-date summary on the current literature and trends regarding the management of meniscus injuries with a special consideration for elite athletes.

RECENT FINDINGS: Historically, partial meniscectomy has been the primary treatment option for meniscus injuries. However, in recent years there has been an increased emphasis on meniscus preservation due to the increased …

Survival And Treatment Outcomes In Patients With Leptomeningeal Disease From Metastatic Melanoma, Chantal Saberian, Denái R Milton, Julie Simon, Rodabe N Amaria, Adi Diab, Jennifer Mcquade, Sapna P Patel, Hussein Tawbi, Cassian Yee, Michael K Wong, Ian E Mccutcheon, Michael A Davies, Sherise D Ferguson, Isabella C Glitza Oliva

Faculty, Staff and Student Publications

Background: Melanoma leptomeningeal disease (LMD) has a poor prognosis. However, the management of patients with advanced melanoma has evolved with time, including those with LMD. We reviewed a large cohort of melanoma LMD patients to assess factors associated with survival.

Methods: Retrospective clinical data was collected on patients diagnosed with LMD at MD Anderson Cancer Center from 2015 to 2020. Overall survival (OS) was determined from LMD diagnosis to date of death or last follow-up. The Kaplan-Meier method and log-rank test were used to estimate OS and to assess univariate group differences, respectively. Multivariable associations of survival with variables of …

Querymate: A Custom Llm Powered By Llamacpp, Pegah Khosravi

Open Educational Resources

No abstract provided.

A Comparison Of Available Guidelines For The Detection Of Cauda Equina Syndrome And Assessing The Need For Further Clinical Guidance In Ireland, Lorcan Gavin, Michael G Curran, John P Mccabe

Faculty, Staff and Student Publications

The cauda equina syndrome (CES) is a rare but critical disorder, which can result in devastating motor weakness and sensory deficit, alongside often irreversible bladder, bowel and sexual dysfunction. In addition to the clinical burden of disease, this syndrome results in a disproportionately high medicolegal strain due to missed or delayed diagnoses. Despite being an emergency diagnosis, often necessitating urgent surgical decompression to treat, we believe there is a lack of clarity for clinicians in the current literature, with no published Irish guideline concerning screening or detection. The current study aims to identify and analyse appropriate guidelines in relation to …

A Rare Case Of Fabry's Disease-Induced Cardiomyopathy: A Case Report And Review Of The Literature, Ahmed Hussein, Aya Salih, Yousif Mohamed, Emma Thames, L Maximilian Buja

Faculty, Staff and Student Publications

Fabry's disease, also known as Anderson-Fabry Disease (AFD), is caused by mutations in the α galactosidase A (α GalA) gene found on the X chromosome. This condition results in an accumulation of sphingolipids, including globotriaosylceramide (Gb3), in cells throughout the body. The main effects of Fabry disease typically involve heart, kidney, and nervous system complications. A common cardiac dysfunction is left ventricular hypertrophy. In this case study, we share findings about cardiomyopathy resulting from Fabry disease to explain how this condition impacts the heart and the importance of a biopsy in making a diagnosis. A 57-year-old woman with end-stage renal …

T-Bet Suppresses Proliferation Of Malignant B Cells In Chronic Lymphocytic Leukemia, Philipp M Roessner, Isabelle Seufert, Vicente Chapaprieta, Ruparoshni Jayabalan, Hannah Briesch, Ramon Massoni-Badosa, Pavle Boskovic, Julian Benckendorff, Tobias Roider, Lavinia Arseni, Mariana Coelho, Supriya Chakraborty, Alicia M Vaca, Mariela Sivina, Markus Muckenhuber, Sonia Rodriguez-Rodriguez, Alice Bonato, Sophie A Herbst, Marc Zapatka, Clare Sun, Helene Kretzmer, Thomas Naake, Peter-Martin Bruch, Felix Czernilofsky, Elisa Ten Hacken, Martin Schneider, Dominic Helm, Deyan Y Yosifov, Joseph Kauer, Alexey V Danilov, Moritz Bewarder, Kristina Heyne, Christof Schneider, Stephan Stilgenbauer, Adrian Wiestner, Jan-Philipp Mallm, Jan A Burger, Dimitar G Efremov, Peter Lichter, Sascha Dietrich, José I Martin-Subero, Karsten Rippe, Martina Seiffert

Faculty, Staff and Student Publications

The T-box transcription factor T-bet is known as a master regulator of the T-cell response but its role in malignant B cells has not been sufficiently explored. Here, we conducted single-cell resolved multi-omics analyses of malignant B cells from patients with chronic lymphocytic leukemia (CLL) and studied a CLL mouse model with a genetic knockout of Tbx21. We found that T-bet acts as a tumor suppressor in malignant B cells by decreasing their proliferation rate. NF-κB activity, induced by inflammatory signals provided by the microenvironment, triggered T-bet expression, which affected promoter-proximal and distal chromatin coaccessibility and controlled a specific gene …

Leptomeningeal Carcinomatosis From Breast Cancer Initially Mimicking Cerebral Infarction On Mri, Nozomi Satani, Tomonori Matsuura, Satoru Yanagaki, Yojiro Ishikawa, Gou Watanabe, Hiroshi Fukuda, Takayuki Yamada

Faculty, Staff and Student Publications

A female patient in her early 50s with breast cancer underwent breast-conserving surgery, followed by radiation therapy. She developed multiple lung and bone metastases and was started on chemotherapy with bevacizumab and paclitaxel 3 years later. After 6 months of chemotherapy, she developed a decline in conversation and memory. Magnetic resonance imaging (MRI) was conducted and showed multiple cortical and subcortical lesions and nodules with restricted diffusion but with no contrast enhancement on gadolinium (Gd) enhanced T1-weighted image, raising a suspicion of Trousseau's syndrome. A follow-up MRI revealed unchanged signal intensity of the lesions but with minimal enlargement. The cerebrospinal …

Outcome Of 3q262/Mecom Rearrangements In Chronic Myeloid Leukemia, Hiroki Akiyama, Hagop Kantarjian, Elias Jabbour, Ghayas Issa, Fadi G Haddad, Nicholas J Short, Shimin Hu, Jo Ishizawa, Michael Andreeff, Koji Sasaki

Faculty, Staff and Student Publications

Study aims: To evaluate the outcomes of patients with 3q26.2/MECOM-rearranged chronic myeloid leukemia (CML).

Methods: We reviewed consecutive adult patients with 3q26.2/MECOM-rearranged CML between January 1, 1998 and February 16, 2023. Rearrangements of 3q26.2/MECOM were confirmed by conventional cytogenetics, and fluorescence in situ hybridization starting in 2015.

Results: We identified 55 patients with MECOM-rearranged CML, including 23 in chronic phase (CP) or accelerated phase (AP) and 32 in blast phase (BP). Nine patients (16%) achieved a major cytogenetic response (MCyR) or deeper. At a median follow-up of 89 months, median survival was 14 months. The 5-year survival rate was 19% …

Safety And Efficacy Of Percutaneous Image-Guided Ablation For Soft Tissue Sarcoma Metastases To The Liver, Ahmed Awad, Koustav Pal, Steven Yevich, Joshua D Kuban, Alda Tam, Bruno C Odisio, Sanjay Gupta, Peiman Habibollahi, Andrew J Bishop, Anthony Paul Conley, Neeta Somaiah, Dejka M Araujo, Maria Alejandra Zarzour, Ravin Ratan, Christina L Roland, Emily Z Keung, Steven Y Huang, Rahul A Sheth

Faculty, Staff and Student Publications

Purpose: To evaluate outcomes following percutaneous image-guided ablation of soft tissue sarcoma metastases to the liver.

Materials and methods: A single-institution retrospective analysis of patients with a diagnosis of metastatic soft tissue sarcoma who underwent percutaneous image-guided ablation of hepatic metastases between January 2011 and December 2021 was performed. Patients with less than 60 days of follow-up after ablation were excluded. The primary outcome was local tumor progression-free survival (LPFS). Secondary outcomes included overall survival, liver-specific progression-free survival. and chemotherapy-free survival.

Results: Fifty-five patients who underwent percutaneous ablation for 84 metastatic liver lesions were included. The most common histopathological subtypes …

Tumoral Interferon Beta Induces An Immune-Stimulatory Phenotype In Tumor-Associated Macrophages In Melanoma Brain Metastases, Julia Gellert, Dennis A Agardy, Swaminathan Kumar, Alexandros Kourtesakis, Tamara Boschert, Kristine Jähne, Michael O Breckwoldt, Lukas Bunse, Wolfgang Wick, Michael A Davies, Michael Platten, Theresa Bunse

Faculty, Staff and Student Publications

Type I interferons (IFN) are immune-stimulatory cytokines involved in antiviral and antitumor immune responses. They enhance the efficacy of immunogenic anticancer therapies such as radiotherapy by activating both innate and adaptive immune cells. Macrophages are one of the most abundant innate immune cells in the immune microenvironment of melanoma brain metastases (MBM) and can exert potent immune-suppressive functions. Here, we investigate the potential of tumoral type I IFNs to repolarize tumor-associated macrophages (TAM) in two murine MBM models and assess the effects of radiotherapy-induced type I IFN on TAMs in a transcriptomic MBM patient dataset. In mice, we describe a …

Metabolomics Biomarkers Of Hepatocellular Carcinoma In A Prospective Cohort Of Patients With Cirrhosis, Jessica I Sanchez, Antoine C Fontillas, Suet-Ying Kwan, Caren I Sanchez, Tiffany L Calderone, Jana L Lee, Ahmed Elsaiey, Darrel W Cleere, Peng Wei, John M Vierling, David W Victor, Laura Beretta

Faculty, Staff and Student Publications

BACKGROUND & AIMS: The effectiveness of surveillance for hepatocellular carcinoma (HCC) in patients with cirrhosis is limited, due to inadequate risk stratification and suboptimal performance of current screening modalities.

METHODS: We developed a multicenter prospective cohort of patients with cirrhosis undergoing surveillance with MRI and applied global untargeted metabolomics to 612 longitudinal serum samples from 203 patients. Among them, 37 developed HCC during follow-up.

RESULTS: We identified 150 metabolites with significant abundance changes in samples collected prior to HCC (Cases) compared to samples from patients who did not develop HCC (Controls). Tauro-conjugated bile acids and gamma-glutamyl amino acids were increased, …

Auto-Segmentation Of Adult-Type Diffuse Gliomas: Comparison Of Transfer Learning-Based Convolutional Neural Network Model Vs Radiologists, Qi Wan, Jisoo Kim, Clifford Lindsay, Xin Chen, Jing Li, J Bryan Iorgulescu, Raymond Y Huang, Chenxi Zhang, David Reardon, Geoffrey S Young, Lei Qin

Faculty, Staff and Student Publications

Segmentation of glioma is crucial for quantitative brain tumor assessment, to guide therapeutic research and clinical management, but very time-consuming. Fully automated tools for the segmentation of multi-sequence MRI are needed. We developed and pretrained a deep learning (DL) model using publicly available datasets A (n = 210) and B (n = 369) containing FLAIR, T2WI, and contrast-enhanced (CE)-T1WI. This was then fine-tuned with our institutional dataset (n = 197) containing ADC, T2WI, and CE-T1WI, manually annotated by radiologists, and split into training (n = 100) and testing (n = 97) sets. The Dice similarity coefficient (DSC) was used to …

Grace Periods In Comparative Effectiveness Studies Of Sustained Treatments, Kerollos Nashat Wanis, Aaron L Sarvet, Lan Wen, Jason P Block, Sheryl L Rifas-Shiman, James M Robins, Jessica G Young

Faculty, Staff and Student Publications

Researchers are often interested in estimating the effect of sustained use of a treatment on a health outcome. However, adherence to strict treatment protocols can be challenging for individuals in practice and, when non-adherence is expected, estimates of the effect of sustained use may not be useful for decision making. As an alternative, more relaxed treatment protocols which allow for periods of time off treatment (i.e. grace periods) have been considered in pragmatic randomized trials and observational studies. In this article, we consider the interpretation, identification, and estimation of treatment strategies which include grace periods. We contrast natural grace period …

Acute Myeloid Leukemia With Mast Cell Differentiation Is Characterized By Interstitial Mast Cells, Complex Karyotype, Do Hwan Kim, Sa A Wang, Wei Wang, Guilin Tang, Shaoying Li, C Cameron Yin, Pei Lin, Marina Konopleva, M James You, Roberto N Miranda, Xiaoqiong Wang, Qing Wei, L Jeffrey Medeiros, Jie Xu

Faculty, Staff and Student Publications

No abstract provided.

T-Cell-Rich Hodgkin Lymphoma With Features Of Classic Hodgkin Lymphoma And Nodular Lymphocyte-Predominant Hodgkin Lymphoma: A Borderline Category With Overlapping Morphologic And Immunophenotypic Features, Siba El Hussein, Hong Fang, Fatima Zahra Jelloul, Wei Wang, Sanam Loghavi, Roberto N Miranda, Jonathan W Friedberg, W Richard Burack, Andrew G Evans, Jie Xu, L Jeffrey Medeiros

Faculty, Staff and Student Publications

Context.—: It is known that a subset of cases of classic Hodgkin lymphoma (CHL) with B-cell-rich nodules (lymphocyte-rich CHL) exhibits morphologic and immunophenotypic features that overlap with nodular lymphocyte-predominant Hodgkin lymphoma (NLPHL), raising diagnostic difficulties that can be resolved in most cases by performing an adequate battery of immunohistochemical studies.

Objective.—: To fully characterize cases of T-cell-rich Hodgkin lymphoma where a specific diagnosis of NLPHL (ie, pattern D) or CHL could not be made even after complete immunophenotypic investigation.

Design.—: The clinical, immunomorphologic, and molecular (when applicable) presentation of 3 cases of T-cell-rich Hodgkin lymphoma was thoroughly investigated.

Results.—: These …

A Joint Estro And Aapm Guideline For Development, Clinical Validation And Reporting Of Artificial Intelligence Models In Radiation Therapy, Coen Hurkmans, Jean-Emmanuel Bibault, Kristy K Brock, Wouter Van Elmpt, Mary Feng, Clifton David Fuller, Barbara A Jereczek-Fossa, Stine Korreman, Guillaume Landry, Frederic Madesta, Chuck Mayo, Alan Mcwilliam, Filipe Moura, Ludvig P Muren, Issam El Naqa, Jan Seuntjens, Vincenzo Valentini, Michael Velec

Faculty, Staff and Student Publications

Background and purpose: Artificial Intelligence (AI) models in radiation therapy are being developed with increasing pace. Despite this, the radiation therapy community has not widely adopted these models in clinical practice. A cohesive guideline on how to develop, report and clinically validate AI algorithms might help bridge this gap.

Methods and materials: A Delphi process with all co-authors was followed to determine which topics should be addressed in this comprehensive guideline. Separate sections of the guideline, including Statements, were written by subgroups of the authors and discussed with the whole group at several meetings. Statements were formulated and scored as …

Cluster-Based Toxicity Estimation Of Osteoradionecrosis Via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability By Using Whole Dose-Volume Histograms For Cohort Risk Stratification, Seyedmohammadhossein Hosseinian, Mehdi Hemmati, Cem Dede, Travis C Salzillo, Lisanne V Van Dijk, Abdallah S R Mohamed, Stephen Y Lai, Andrew J Schaefer, Clifton D Fuller

Faculty, Staff and Student Publications

PURPOSE: Given the limitations of extant models for normal tissue complication probability estimation for osteoradionecrosis (ORN) of the mandible, the purpose of this study was to enrich statistical inference by exploiting structural properties of data and provide a clinically reliable model for ORN risk evaluation through an unsupervised-learning analysis that incorporates the whole radiation dose distribution on the mandible.

METHODS AND MATERIALS: The analysis was conducted on retrospective data of 1259 patients with head and neck cancer treated at The University of Texas MD Anderson Cancer Center between 2005 and 2015. During a minimum 12-month posttherapy follow-up period, 173 patients …

Chick Embryo Chorioallantoic Membrane As A Platform For Assessing The In Vivo Efficacy Of Chimeric Antigen Receptor T-Cell Therapy In Solid Tumors, Allison J Nipper, Emilie A K Warren, Kershena S Liao, Hsuan-Chen Liu, Chieko Michikawa, Caroline E Porter, Gabrielle A Wells, Mariana Villanueva, Fabio Henrique Brasil Da Costa, Ratna Veeramachaneni, Hugo Villanueva, Masataka Suzuki, Andrew G Sikora

Faculty, Staff and Student Publications

The fertilized chicken egg chorioallantoic membrane (CAM), a highly vascularized membrane nourishing the developing embryo, also supports rapid growth of three-dimensional vascularized tumors from engrafted cells and tumor explants. Because murine xenograft models suffer limitations of time, cost, and scalability, we propose CAM tumors as a rapid, efficient screening tool for assessing anti-tumor efficacy of chimeric Ag receptor (CAR) T cells against solid tumors. We tested the efficacy of human epidermal growth factor receptor 2 (HER2)-specific CAR T cells against luminescent, HER2-expressing (FaDu, SCC-47) or HER2-negative (MDA-MB-468) CAM-engrafted tumors. Three days after tumor engraftment, HER2-specific CAR T cells were applied …

Secondary Endpoint Utilization And Publication Rate Among Phase Iii Oncology Trials, Esther J Beck, Alexander D Sherry, Marcus A Florez, Ramez Kouzy, Joseph Abi Jaoude, Timothy A Lin, Avital M Miller, Adina H Passy, Gabrielle S Kupferman, Roshal R Patel, Fumiko Chino, Victoria Serpas Higbie, Christine M Parseghian, Michael J Overman, Bruce D Minsky, Charles R Thomas, Chad Tang, Pavlos Msaouel, Ethan B Ludmir

Faculty, Staff and Student Publications

UNLABELLED: Secondary endpoints (SEP) provide crucial information in the interpretation of clinical trials, but their features are not yet well understood. Thus, we sought to empirically characterize the scope and publication rate of SEPs among late-phase oncology trials. We assessed SEPs for each randomized, published phase III oncology trial across all publications and ClinicalTrials.gov, performing logistic regressions to evaluate associations between trial characteristics and SEP publication rates. After screening, a total of 280 trials enrolling 244,576 patients and containing 2,562 SEPs met the inclusion criteria. Only 22% of trials (62/280) listed all SEPs consistently between ClinicalTrials.gov and the trial protocol. …

Systematic Transcriptome Profiling Of Hpsc-Derived Osteoblasts Unveils Corin’S Mastery In Governing Osteogenesis Through Cebpd Modulation, Dandan Zhu, Mo-Fan Huang, An Xu, Xueqin Gao, Yu-Wen Huang, Trinh T T Phan, Linchao Lu, Ting-Yen Chi, Yulin Dai, Lon Kai Pang, Julian A Gingold, Jian Tu, Zijun Huo, Danielle A Bazer, Rachel Shoemaker, Jun Wang, Catherine G Ambrose, Jingnan Shen, Jun Kameoka, Zhongming Zhao, Lisa L Wang, Yang Zhang, Ruiying Zhao, Dung-Fang Lee

Faculty, Staff and Student Publications

The commitment of stem cells to differentiate into osteoblasts is a highly regulated and complex process that involves the coordination of extrinsic signals and intrinsic transcriptional machinery. While rodent osteoblastic differentiation has been extensively studied, research on human osteogenesis has been limited by cell sources and existing models. Here, we systematically dissect human pluripotent stem cell-derived osteoblasts to identify functional membrane proteins and their downstream transcriptional networks involved in human osteogenesis. Our results reveal an enrichment of type II transmembrane serine protease CORIN in humans but not rodent osteoblasts. Functional analyses demonstrated that CORIN depletion significantly impairs osteogenesis. Genome-wide chromatin …

2023 American College Of Rheumatology (Acr)/American College Of Chest Physicians (Chest) Guideline For The Treatment Of Interstitial Lung Disease In People With Systemic Autoimmune Rheumatic Diseases, Sindhu R Johnson, Elana J Bernstein, Marcy B Bolster, Jonathan H Chung, Sonye K Danoff, Michael D George, Dinesh Khanna, Gordon Guyatt, Reza D Mirza, Rohit Aggarwal, Aberdeen Allen, Shervin Assassi, Lenore Buckley, Hassan A Chami, Douglas S Corwin, Paul F Dellaripa, Robyn T Domsic, Tracy J Doyle, Catherine Marie Falardeau, Tracy M Frech, Fiona K Gibbons, Monique Hinchcliff, Cheilonda Johnson, Jeffrey P Kanne, John S Kim, Sian Yik Lim, Scott Matson, Zsuzsanna H Mcmahan, Samantha J Merck, Kiana Nesbitt, Mary Beth Scholand, Lee Shapiro, Christine D Sharkey, Ross Summer, John Varga, Anil Warrier, Sandeep K Agarwal, Danielle Antin-Ozerkis, Bradford Bemiss, Vaidehi Chowdhary, Jane E Dematte D'Amico, Robert Hallowell, Alicia M Hinze, Patil A Injean, Nikhil Jiwrajka, Elena K Joerns, Joyce S Lee, Ashima Makol, Gregory C Mcdermott, Jake G Natalini, Justin M Oldham, Didem Saygin, Kimberly Showalter Lakin, Namrata Singh, Joshua J Solomon, Jeffrey A Sparks, Marat Turgunbaev, Samera Vaseer, Amy Turner, Stacey Uhl, Ilya Ivlev

Faculty, Staff and Student Publications

Objective: We provide evidence-based recommendations regarding the treatment of interstitial lung disease (ILD) in adults with systemic autoimmune rheumatic diseases (SARDs).

Methods: We developed clinically relevant population, intervention, comparator, and outcomes questions. A systematic literature review was then performed, and the available evidence was rated using the Grading of Recommendations, Assessment, Development, and Evaluation methodology. A panel of clinicians and patients reached consensus on the direction and strength of the recommendations.

Results: Thirty-five recommendations were generated (including two strong recommendations) for first-line SARD-ILD treatment, treatment of SARD-ILD progression despite first-line ILD therapy, and treatment of rapidly progressive ILD. The strong …

Impact Of Pretreatment Body Mass Index On The Survival Of Head And Neck Cancer Patients, Zheng Yang, Jobran Mansour, Peng Sun, Peng Wei, Kristina R Dahlstrom, Mark Zafereo, Guojun Li, Neil D Gross

Faculty, Staff and Student Publications

Background: Differences in pretreatment body mass index (BMI) have been associated with survival in squamous cell carcinoma of head and neck (SCCHN). We examined effects of BMI on survival in SCCHN patients after stratifying patients by tumor human papillomavirus (HPV) status and subsite.

Methods: Totally 2204 SCCHN patients in a prospective study were included in this secondary analysis. Multivariable Cox models were used to evaluate associations between pretreatment BMI and overall survival, disease-specific survival, and disease-free survival.

Results: BMI was significantly higher among patients with HPV-positive tumors than HPV-negative tumors. BMI >25 kg/m2 was associated with improved survival, while BMI …

De Novo Variants In The Rnu4-2 Snrna Cause A Frequent Neurodevelopmental Syndrome, Yuyang Chen, Ruebena Dawes, Hyung Chul Kim, Alicia Ljungdahl, Sarah L Stenton, Susan Walker, Jenny Lord, Gabrielle Lemire, Alexandra C Martin-Geary, Vijay S Ganesh, Jialan Ma, Jamie M Ellingford, Erwan Delage, Elston N D'Souza, Shan Dong, David R Adams, Kirsten Allan, Madhura Bakshi, Erin E Baldwin, Seth I Berger, Jonathan A Bernstein, Ishita Bhatnagar, Ed Blair, Natasha J Brown, Lindsay C Burrage, Kimberly Chapman, David J Coman, Alison G Compton, Chloe A Cunningham, Precilla D'Souza, Petr Danecek, Emmanuèle C Délot, Kerith-Rae Dias, Ellen R Elias, Frances Elmslie, Care-Anne Evans, Lisa Ewans, Kimberly Ezell, Jamie L Fraser, Lyndon Gallacher, Casie A Genetti, Anne Goriely, Christina L Grant, Tobias Haack, Jenny E Higgs, Anjali G Hinch, Matthew E Hurles, Alma Kuechler, Katherine L Lachlan, Seema R Lalani, François Lecoquierre, Elsa Leitão, Anna Le Fevre, Richard J Leventer, Jan E Liebelt, Sarah Lindsay, Paul J Lockhart, Alan S Ma, Ellen F Macnamara, Sahar Mansour, Taylor M Maurer, Hector R Mendez, Kay Metcalfe, Stephen B Montgomery, Mariya Moosajee, Marie-Cécile Nassogne, Serena Neumann, Michael O'Donoghue, Melanie O'Leary, Elizabeth E Palmer, Nikhil Pattani, John Phillips, Georgia Pitsava, Ryan Pysar, Heidi L Rehm, Chloe M Reuter, Nicole Revencu, Angelika Riess, Rocio Rius, Lance Rodan, Tony Roscioli, Jill A Rosenfeld, Rani Sachdev, Charles J Shaw-Smith, Cas Simons, Sanjay M Sisodiya, Penny Snell, Laura St Clair, Zornitza Stark, Helen S Stewart, Tiong Yang Tan, Natalie B Tan, Suzanna E L Temple, David R Thorburn, Cynthia J Tifft, Eloise Uebergang, Grace E Vannoy, Pradeep Vasudevan, Eric Vilain, David H Viskochil, Laura Wedd, Matthew T Wheeler, Susan M White, Monica Wojcik, Lynne A Wolfe, Zoe Wolfenson, Caroline F Wright, Changrui Xiao, David Zocche, John L Rubenstein, Eirene Markenscoff-Papadimitriou, Sebastian M Fica, Diana Baralle, Christel Depienne, Daniel G Macarthur, Joanna M M Howson, Stephan J Sanders, Anne O'Donnell-Luria, Nicola Whiffin

Faculty, Staff and Students Publications

Around 60% of individuals with neurodevelopmental disorders (NDD) remain undiagnosed after comprehensive genetic testing, primarily of protein-coding genes1. Large genome-sequenced cohorts are improving our ability to discover new diagnoses in the non-coding genome. Here we identify the non-coding RNA RNU4-2 as a syndromic NDD gene. RNU4-2 encodes the U4 small nuclear RNA (snRNA), which is a critical component of the U4/U6.U5 tri-snRNP complex of the major spliceosome2. We identify an 18 base pair region of RNU4-2 mapping to two structural elements in the U4/U6 snRNA duplex (the T-loop and stem III) that is severely depleted of …

Cardiomyopathy, An Uncommon Phenotype Of Congenital Disorders Of Glycosylation: Recommendations For Baseline Screening And Follow-Up Evaluation, Roni Zemet, Kyle D Hope, Andrew C Edmondson, Rameen Shah, Maria Patino, Abigail M Yesso, Justin H Berger, Kyriakie Sarafoglou, Austin Larson, Christina Lam, Eva Morava, Fernando Scaglia

Faculty, Staff and Students Publications

Introduction:

Congenital disorders of glycosylation (CDG) are a continuously expanding group of monogenic disorders that disrupt glycoprotein and glycolipid biosynthesis, leading to multi-systemic manifestations. These disorders are categorized into various groups depending on which part of the glycosylation process is impaired. The cardiac manifestations in CDG can significantly differ, not only across different types but also among individuals with the same genetic cause of CDG. Cardiomyopathy is an important phenotype in CDG. The clinical manifestations and progression of cardiomyopathy in CDG patients have not been well characterized. This study aims to delineate common patterns of cardiomyopathy across a range of …

Bigh3 Mediates Apoptosis And Gap Junction Failure In Osteocytes During Renal Cell Carcinoma Bone Metastasis Progression, Tianhong Pan, Fengshuo Liu, Xiaoxin Hao, Shubo Wang, Murtaza Wasi, Jian H Song, Valerae O Lewis, Patrick P Lin, Bryan Moon, Justin E Bird, Theocharis Panaretakis, Sue-Hwa Lin, Danielle Wu, Mary C Farach-Carson, Liyun Wang, Ningyan Zhang, Zhiqiang An, Xiang H-F Zhang, Robert L Satcher

Faculty, Staff and Student Publications

Renal cell carcinoma (RCC) bone metastatis progression is driven by crosstalk between tumor cells and the bone microenvironment, which includes osteoblasts, osteoclasts, and osteocytes. RCC bone metastases (RCCBM) are predominantly osteolytic and resistant to antiresorptive therapy. The molecular mechanisms underlying pathologic osteolysis and disruption of bone homeostasis remain incompletely understood. We previously reported that BIGH3/TGFBI (transforming growth factor-beta-induced protein ig-h3, shortened to BIGH3 henceforth) secreted by colonizing RCC cells drives osteolysis by inhibiting osteoblast differentiation, impairing healing of osteolytic lesions, which is reversible with osteoanabolic agents. Here, we report that BIGH3 induces osteocyte apoptosis in both human RCCBM tissue specimens …