Biomedical Informatics Commons^™

A Qualitative Exploration To Inform An Oral Health Training For Disability Care Workers In Burkina Faso, Ave Põld, Dan Filwendé Kientega, Jocelyne Valérie Garé, Michael Lorenz

Faculty, Staff and Student Publications

AIM: To explore enablers and barriers to the creation of an oral health training for care workers at specialized centres for children with disabilities in Ouagadougou.

DESIGN: This was a formative study informed by the Theoretical Domains Framework using qualitative methods.

METHODS: Qualitative observations and 14 semi-structured interviews were conducted with care workers from six specialized centres for disability.

RESULTS: Carer workers emphasized that a successful oral health training must account for available resources and competencies in each specific centre. Part of the training must be dedicated to oral hygiene targeted for people with disabilities and provide knowledge about risk …

Sotatercept For Anemia Of Myelofibrosis: A Phase Ii Investigator-Initiated Study, Prithviraj Bose, Lucia Masarova, Naveen Pemmaraju, Sharon D Bledsoe, Naval G Daver, Elias J Jabbour, Tapan M Kadia, Zeev Estrov, Steven M Kornblau, Michael Andreeff, Nitin Jain, Jorge E Cortes, Gautam Borthakur, Yesid Alvarado, Mary Ann Richie, Mackenzie H Dobbins, Selene A Mccrackin, Lingsha Zhou, Sherry A Pierce, Xuemei Wang, Allison M Pike, Guillermo Garcia-Manero, Hagop M Kantarjian, Srdan Verstovsek

Faculty, Staff and Student Publications

No abstract provided.

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

Adaptive Fine-Tuning Based Transfer Learning For The Identification Of Mgmt Promoter Methylation Status, Erich Schmitz, Yunhui Guo, Jing Wang

Faculty, Staff and Student Publications

Background. Glioblastoma Multiforme (GBM) is an aggressive form of malignant brain tumor with a generally poor prognosis. O 6-methylguanine-DNA methyltransferase (MGMT) promoter methylation has been shown to be a predictive bio-marker for resistance to treatment of GBM, but it is invasive and time-consuming to determine methylation status. There has been effort to predict the MGMT methylation status through analyzing MRI scans using machine learning, which only requires pre-operative scans that are already part of standard-of-care for GBM patients. Purpose. To improve the performance of conventional transfer learning in the identification of MGMT promoter methylation status, we developed a 3D SpotTune …

Detection Of Diffusely Abnormal White Matter In Multiple Sclerosis On Multiparametric Brain Mri Using Semi-Supervised Deep Learning, Benjamin C Musall, Refaat E Gabr, Yanyu Yang, Arash Kamali, John A Lincoln, Michael A Jacobs, Vi Ly, Xi Luo, Jerry S Wolinsky, Ponnada A Narayana, Khader M Hasan

Faculty, Staff and Student Publications

In addition to focal lesions, diffusely abnormal white matter (DAWM) is seen on brain MRI of multiple sclerosis (MS) patients and may represent early or distinct disease processes. The role of MRI-observed DAWM is understudied due to a lack of automated assessment methods. Supervised deep learning (DL) methods are highly capable in this domain, but require large sets of labeled data. To overcome this challenge, a DL-based network (DAWM-Net) was trained using semi-supervised learning on a limited set of labeled data for segmentation of DAWM, focal lesions, and normal-appearing brain tissues on multiparametric MRI. DAWM-Net segmentation performance was compared to …

Targeting Astrogliosis In The Retrotrapezoid Nucleus: A Novel Approach To Ameliorate Respiratory Dysfunction And Alzheimer's Pathology In Mice, Zahid Iqbal, Ahmad El Hamamy, Ngoc Mai Le, Arya Ranjan, Yuxing Zhang, Li Qi, Bharti Manwani, Chunfeng Tan, Louise D Mccullough, Jun Li

Faculty, Staff and Student Publications

Alzheimer's disease (AD), a leading cause of dementia, is associated with significant respiratory dysfunctions. Our study explores the role of astrogliosis in the brainstem retrotrapezoid nucleus (RTN), a key breathing regulatory center, and its impact on breathing control and AD pathology in mice. Using Tg-2576 AD and wild-type mice, we investigated the effect of silencing the transforming growth factor-beta receptor II (TGFβR II) in the RTN. We performed behavioral tests, including the Barnes maze and novel object recognition test, along with whole-body plethysmography to assess breathing disorders. Our results showed that AD mice exhibited increased apneas and cognitive impairment, which …

Tert Activation Targets Dna Methylation And Multiple Aging Hallmarks, Hong Seok Shim, Jonathan Iaconelli, Xiaoying Shang, Jiexi Li, Zheng D Lan, Shan Jiang, Kayla Nutsch, Brittney A Beyer, Luke L Lairson, Adam T Boutin, Michael J Bollong, Peter G Schultz, Ronald A Depinho

Faculty, Staff and Student Publications

Insufficient telomerase activity, stemming from low telomerase reverse transcriptase (TERT) gene transcription, contributes to telomere dysfunction and aging pathologies. Besides its traditional function in telomere synthesis, TERT acts as a transcriptional co-regulator of genes pivotal in aging and age-associated diseases. Here, we report the identification of a TERT activator compound (TAC) that upregulates TERT transcription via the MEK/ERK/AP-1 cascade. In primary human cells and naturally aged mice, TAC-induced elevation of TERT levels promotes telomere synthesis, blunts tissue aging hallmarks with reduced cellular senescence and inflammatory cytokines, and silences p16INK4a expression via upregulation of DNMT3B-mediated promoter hypermethylation. In the brain, …

Patients' Perceptions Of Using Technology For Self-Reporting Cancer Medication Safety Events From Home, Katie Gahn, Misun Hwang, Youmin Cho, Heidi Mason, Yang Gong, Yun Jiang

Faculty, Staff and Student Publications

Frequent transitions of care among patients with cancer increase their risks for medication safety events (MSEs). Patients and families need to become "vigilant partners" in MSE self-reporting when transitioning back home. However, limited evidence is available to guide patient and family engagement in preventing and managing MSEs. This study explored patients' perceptions of using technology for MSE self-reporting by interviewing 41 patients with breast, prostate, lung, or colorectal cancer. The findings revealed that patients with cancer perceived technology as convenient and easy to use to address urgent MSE concerns. However, the lack of access to technology and being unconfident in …

Intuitive Data Visualization For Enhanced Patient Comprehension, Samina Asfandiyar, Shelley Hough, Vivian Agugo, Juliana J Brixey, Yang Gong

Faculty, Staff and Student Publications

The pilot study explores how data visualization influences patient comprehension and engagement in understanding hyperlipidemia test results across diverse patient groups. Employing Gestalt theory and the Relational Information Display (RID) framework, intuitive visual tools were developed using Google Sheets, QlikView®, and Microsoft® Excel®. The survey conducted with patients used a Likert scale to evaluate six different line and bar graphs, each presenting the same LDL cholesterol data. The study emphasized the creation of graphs that were easily interpretable. The survey aimed to assess preferences for various data visualization formats. The survey results indicated that patients preferred stacked area charts, while …

Cell-Specific Regulation Of The Circadian Clock By Bmal1 In The Paraventricular Nucleus: Implications For Regulation Of Systemic Biological Rhythms, Rachel Van Drunen, Yulin Dai, Haichao Wei, Baharan Fekry, Sina Noori, Samay Shivshankar, Rafael Bravo, Zhongming Zhao, Seung-Hee Yoo, Nicholas Justice, Jia Qian Wu, Qingchun Tong, Kristin Eckel-Mahan

Faculty, Staff and Student Publications

Circadian rhythms are internal biological rhythms driving temporal tissue-specific, metabolic programs. Loss of the circadian transcription factor BMAL1 in the paraventricular nucleus (PVN) of the hypothalamus reveals its importance in metabolic rhythms, but its functions in individual PVN cells are poorly understood. Here, loss of BMAL1 in the PVN results in arrhythmicity of processes controlling energy balance and alters peripheral diurnal gene expression. BMAL1 chromatin immunoprecipitation sequencing (ChIP-seq) and single-nucleus RNA sequencing (snRNA-seq) reveal its temporal regulation of target genes, including oxytocin (OXT), and restoring circulating OXT peaks in BMAL1-PVN knockout (KO) mice rescues absent activity rhythms. While glutamatergic neurons …

Impact Of Patient Demographics And Neighborhood Socioeconomic Variables On Clinical Trial Participation Patterns For Nhl, Chijioke Nze, Clark R Andersen, Amy A Ayers, Jason Westin, Michael Wang, Swaminathan Iyer, Sairah Ahmed, Chelsea Pinnix, Francisco Vega, Lynne Nguyen, Lorna Mcneill, Loretta J Nastoupil, Kehe Zhang, Cici X Bauer, Christopher R Flowers

Faculty, Staff and Student Publications

Prior studies have demonstrated that certain populations including older patients, racial/ethnic minority groups, and women are underrepresented in clinical trials. We performed a retrospective analysis of patients with non-Hodgkin lymphoma (NHL) seen at MD Anderson Cancer Center (MDACC) to investigate the association between trial participation, race/ethnicity, travel distance, and neighborhood socioeconomic status (nSES). Using patient addresses, we ascertained nSES variables on educational attainment, income, poverty, racial composition, and housing at the census tract (CT) level. We also performed geospatial analysis to determine the geographic distribution of clinical trial participants and distance from patient residence to MDACC. We examined 3146 consecutive …

A Scaled Proteomic Discovery Study For Prostate Cancer Diagnostic Markers Using Proteograph, Matthew E K Chang, Jane Lange, Jessie May Cartier, Travis W Moore, Sophia M Soriano, Brenna Albracht, Michael Krawitzky, Harendra Guturu, Amir Alavi, Alexey Stukalov, Xiaoyuan Zhou, Eltaher M Elgierari, Jessica Chu, Ryan Benz, Juan C Cuevas, Shadi Ferdosi, Daniel Hornburg, Omid Farokhzad, Asim Siddiqui, Serafim Batzoglou, Robin J Leach, Michael A Liss, Ryan P Kopp, Mark R Flory

Faculty, Staff and Student Publications

There is a significant unmet need for clinical reflex tests that increase the specificity of prostate-specific antigen blood testing, the longstanding but imperfect tool for prostate cancer diagnosis. Towards this endpoint, we present the results from a discovery study that identifies new prostate-specific antigen reflex markers in a large-scale patient serum cohort using differentiating technologies for deep proteomic interrogation. We detect known prostate cancer blood markers as well as novel candidates. Through bioinformatic pathway enrichment and network analysis, we reveal associations of differentially abundant proteins with cytoskeletal, metabolic, and ribosomal activities, all of which have been previously associated with prostate …

First-In-Human Dose Escalation Trial To Evaluate The Clinical Safety And Efficacy Of An Anti-Magea1 Autologous Tcr-Transgenic T Cell Therapy In Relapsed And Refractory Solid Tumors, Martin Wermke, Tobias A W Holderried, Jason John Luke, Van K Morris, Winfried H Alsdorf, Katrin Wetzko, Borje S Andersson, Ignacio I Wistuba, Edwin R Parra, Mohammad B Hossain, Sandra Grund-Gröschke, Katrin Aslan, Arun Satelli, Anantha Marisetty, Swapna Satam, Mamta Kalra, Jens Hukelmann, M Alper Kursunel, Karine Pozo, Andreas Acs, Linus Backert, Melissa Baumeister, Sebastian Bunk, Claudia Wagner, Oliver Schoor, Ali S Mohamed, Andrea Mayer-Mokler, Norbert Hilf, Delfi Krishna, Steffen Walter, Apostolia M Tsimberidou, Cedrik M Britten

Faculty, Staff and Student Publications

RATIONALE OF THE TRIAL: Although the use of engineered T cells in cancer immunotherapy has greatly advanced the treatment of hematological malignancies, reaching meaningful clinical responses in the treatment of solid tumors is still challenging. We investigated the safety and tolerability of IMA202 in a first-in-human, dose escalation basket trial in human leucocyte antigen A*02:01 positive patients with melanoma-associated antigen A1 (MAGEA1)-positive advanced solid tumors.

TRIAL DESIGN: The 2+2 trial design was an algorithmic design based on a maximally acceptable dose-limiting toxicity (DLT) rate of 25% and the sample size was driven by the algorithmic design with a maximum of …

Low Skeletal Muscle Mass Is Associated With Inferior Preoperative And Postoperative Shoulder Function In Elderly Rotator Cuff Tear Patients, Yang Yang, Binbin Zheng, Xiaofang Lin, Mengqin Zhang, Yongzhi Ye, Haixiao Chen, Xiaobo Zhou

Faculty, Staff and Student Publications

BACKGROUND: The age-related loss of skeletal muscle mass is an important characteristic of sarcopenia, an increasingly recognized condition with systemic implications. However, its association with shoulder function in elderly patients with rotator cuff tears (RCT) remains unknown. This study aimed to investigate the relationship between low skeletal muscle mass and shoulder function in elderly RCT patients.

METHODS: A retrospective analysis was conducted on RCT patients who underwent chest computed tomography (CT) scans for clinical evaluation. Preoperative CT scan images of the chest were used to calculate the cross-sectional area (CSA) of thoracic muscle at the T4 level. The medical records …

Safety And Effectiveness Of Using Disposable Ultrasonic Shears To Coagulate 5–7 Mm Blood Vessels: Protocol For A Prospective, Multicenter, Randomized, Parallel Controlled, Non-Inferiority Clinical Trial, Xipeng Wang, Chengqiang Li, Junqiang Fan, Jian Hu, Mingsong Wang, Hecheng Li

Faculty, Staff and Student Publications

BACKGROUND: The ultrasonic scalpel is widely used during surgery. It is safe and effective to close the pulmonary artery branch vessels of 7 mm or below with an ultrasonic energy device as reported. However, there have been no multicenter randomized clinical trial to assess the safety and effectiveness of using ultrasonic scalpel to coagulate 5-7 mm blood vessels in thoracic surgery.

METHODS: This is a prospective, multicenter, randomized, parallel controlled, non-inferiority clinical trial. A total of 144 eligible patients planning to undergo lung or esophageal surgery will be randomly allocated to the experimental group and the control group. The investigational …

Exploration Of A Potential Door Endpoint For Hospital-Acquired Bacterial Pneumonia And Ventilator-Associated Bacterial Pneumonia Using Six Registrational Trials For Antibacterial Drugs, Tori Kinamon, Ursula Waack, Mark Needles, Daniel Rubin, Deborah Collyar, Sarah B Doernberg, Scott R Evans, Toshimitsu Hamasaki, Thomas L Holland, Jessica Howard-Anderson, Henry Chambers, Vance G Fowler, Sumati Nambiar, Peter Kim, Helen W Boucher, Ramya Gopinath

Faculty, Staff and Student Publications

BACKGROUND: Desirability of outcome ranking (DOOR) is an innovative approach to clinical trial design and analysis that uses an ordinal ranking system to incorporate the overall risks and benefits of a therapeutic intervention into a single measurement. Here we derived and evaluated a disease-specific DOOR endpoint for registrational trials for hospital-acquired bacterial pneumonia and ventilator-associated bacterial pneumonia (HABP/VABP).

METHODS: Through comprehensive examination of data from nearly 4000 participants enrolled in six registrational trials for HABP/VABP submitted to the Food and Drug Administration (FDA) between 2005 and 2022, we derived and applied a HABP/VABP specific endpoint. We estimated the probability that …

Morphotype-Specific Calcium Signaling In Human Microglia, Sofia Nevelchuk, Bianca Brawek, Niklas Schwarz, Ariel Valiente-Gabioud, Thomas V Wuttke, Yury Kovalchuk, Henner Koch, Anke Höllig, Frederik Steiner, Katherine Figarella, Oliver Griesbeck, Olga Garaschuk

Faculty, Staff and Student Publications

Background: Key functions of Ca2+ signaling in rodent microglia include monitoring the brain state as well as the surrounding neuronal activity and sensing the danger or damage in their vicinity. Microglial Ca2+ dyshomeostasis is a disease hallmark in many mouse models of neurological disorders but the Ca2+ signal properties of human microglia remain unknown.

Methods: We developed a novel genetically-encoded ratiometric Ca2+ indicator, targeting microglial cells in the freshly resected human tissue, organotypically cultured tissue slices and analyzed in situ ongoing Ca2+ signaling of decades-old microglia dwelling in their native microenvironment.

Results: The data revealed marked compartmentalization of Ca2+ signals, …

Epigenome-Wide Association Study Of Lung Cancer Among Never Smokers In Two Prospective Cohorts In Shanghai, China, Mohammad L Rahman, Charles E Breeze, Xiao-Ou Shu, Jason Y Y Wong, Batel Blechter, Andres Cardenas, Xuting Wang, Bu-Tian Ji, Wei Hu, Qiuyin Cai, H Dean Hosgood, Gong Yang, Jianxin Shi, Jirong Long, Yu-Tang Gao, Douglas A Bell, Wei Zheng, Nathaniel Rothman, Qing Lan

Faculty, Staff and Student Publications

BACKGROUND: The aetiology of lung cancer among individuals who never smoked remains elusive, despite 15% of lung cancer cases in men and 53% in women worldwide being unrelated to smoking. Epigenetic alterations, particularly DNA methylation (DNAm) changes, have emerged as potential drivers. Yet, few prospective epigenome-wide association studies (EWAS), primarily focusing on peripheral blood DNAm with limited representation of never smokers, have been conducted.

METHODS: We conducted a nested case-control study of 80 never-smoking incident lung cancer cases and 83 never-smoking controls within the Shanghai Women's Health Study and Shanghai Men's Health Study. DNAm was measured in prediagnostic oral rinse …

Hiv/Aids-Associated Knowledge And Attitudes Towards Treating Disadvantaged Communities Among Pre-Community-Based Dental Education Dental Students In The Us, Aditi Tomar, Hannah Balcezak, Shirley Lewis Miranda, Marie C Latortue, Richa Chinchkhandi, Lisa Wigfall

Faculty, Staff and Student Publications

This study examines HIV/AIDS-associated knowledge and attitudes towards treating disadvantaged communities among predoctoral dental students in U.S. dental schools who have not yet commenced their Community-Based Dental Education (CBDE) training. It also compares the difference in the knowledge and attitudes between students with reported community engagement with PLWHA and those without. Our study comprised 89 predoctoral dental students within their D1-D3 years of dental school who had not yet initiated their Community-Based Dental Education (referred to as pre-CBDE dental students). Their responses were collected via an online survey. The participants were 68% females, 94% heterosexual, and with a mean age …

Intratumoral Microbiome Of Adenoid Cystic Carcinomas And Comparison With Other Head And Neck Cancers, Tatiana V Karpinets, Yoshitsugu Mitani, Chia-Chi Chang, Xiaogang Wu, Xingzhi Song, Ivonne I Flores, Lauren K Mcdaniel, Yasmine M Hoballah, Fabiana J Veguilla, Renata Ferrarotto, Lauren E Colbert, Nadim J Ajami, Robert R Jenq, Jianhua Zhang, Andrew P Futreal, Adel K El-Naggar

Faculty, Staff and Student Publications

Adenoid cystic carcinoma (ACC) is a rare, usually slow-growing yet aggressive head and neck malignancy. Despite its clinical significance, our understanding of the cellular evolution and microenvironment in ACC remains limited. We investigated the intratumoral microbiomes of 50 ACC tumor tissues and 33 adjacent normal tissues using 16S rRNA gene sequencing. This allowed us to characterize the bacterial communities within the ACC and explore potential associations between the bacterial community structure, patient clinical characteristics, and tumor molecular features obtained through RNA sequencing. The bacterial composition in the ACC was significantly different from that in adjacent normal salivary tissue, and the …

Patient-Reported Quality Of Life At Diagnosis In Adolescent And Young Adults With Cancer, Goldy C George, Clark Andersen, Xiaohui Tang, Elizabeth Rodriguez, Midhat Jafry, Maria C Swartz, Sairah Ahmed, Carlos H Barcenas, J Andrew Livingston, Michael E Roth, Michelle A T Hildebrandt

Faculty, Staff and Student Publications

Background: The overall landscape of health-related quality of life (HRQoL) has not been thoroughly investigated in adolescents and young adults (AYAs) with cancer. Data are also lacking on how well HRQoL at the time of cancer diagnosis can prognosticate long-term survival in AYA survivors.

Patients and methods: We included 3,497 survivors of AYA cancer (age 15-39 years at diagnosis) who completed the Short-Form 12 Health Survey (SF-12) HRQoL questionnaire at diagnosis. Physical component summary (PCS) and mental component summary (MCS) scores were generated, with scores < 50 representing poor HRQoL. Differences in HRQoL by patient characteristics and tumor type were investigated using violin plots and t tests/analysis of variance. The effect of HRQoL on overall survival was assessed using Kaplan-Meier plots and Cox proportional hazards models.

Results: Overall mean PCS and MCS scores in this racially/ethnically diverse cohort (64% White, 19% …