Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Life Sciences (2300)
- Medical Sciences (2276)
- Medical Specialties (2226)
- Bioinformatics (2136)
- Oncology (1900)
-
- Medical Genetics (1318)
- Genetic Phenomena (1122)
- Physical Sciences and Mathematics (253)
- Biological Phenomena, Cell Phenomena, and Immunity (225)
- Medical Molecular Biology (196)
- Diseases (193)
- Genetics and Genomics (184)
- Data Science (158)
- Public Health (138)
- Health Information Technology (97)
- Engineering (83)
- Nanotechnology (79)
- Applied Mathematics (77)
- Architecture (75)
- Hematology (53)
- Medical Cell Biology (47)
- Neurology (44)
- Neoplasms (41)
- Social and Behavioral Sciences (41)
- Obstetrics and Gynecology (39)
- Hemic and Lymphatic Diseases (37)
- Internal Medicine (36)
- Mental and Social Health (36)
- Institution
-
- The Texas Medical Center Library (2494)
- Association of Arab Universities (79)
- University of Arkansas, Fayetteville (5)
- City University of New York (CUNY) (4)
- United Arab Emirates University (4)
-
- Chulalongkorn University (3)
- Rowan University (3)
- Thomas Jefferson University (3)
- University of Nebraska Medical Center (3)
- University of Texas Rio Grande Valley (3)
- Dartmouth College (2)
- Kennesaw State University (2)
- Universitas Indonesia (2)
- University of New Mexico (2)
- West Virginia University (2)
- Advocate Health - Midwest (1)
- American University in Cairo (1)
- Augustana College (1)
- Children's Mercy Kansas City (1)
- DePaul University (1)
- JSS Academy of Higher Education and Research (1)
- Jacksonville State University (1)
- LSU Health New Orleans (1)
- Loyola University Chicago (1)
- Medical University of South Carolina (1)
- Purdue University (1)
- Saint Joseph University of Beirut (1)
- San Jose State University (1)
- Southern Methodist University (1)
- University at Albany, State University of New York (1)
- Keyword
-
- Humans (1670)
- Female (736)
- Male (580)
- Animals (526)
- Middle Aged (411)
-
- Adult (369)
- Aged (368)
- Mice (365)
- Neoplasms (234)
- Tumor (222)
- Cell Line (159)
- Carcinoma (158)
- Cell Line, Tumor (158)
- Mutation (157)
- Retrospective Studies (148)
- Immunotherapy (127)
- Biomarkers (120)
- Aged, 80 and over (114)
- 80 and over (109)
- Lung Neoplasms (106)
- Young Adult (101)
- Child (100)
- Treatment Outcome (100)
- Adolescent (96)
- Leukemia (95)
- Tumor Microenvironment (94)
- Receptors (92)
- Breast Neoplasms (87)
- Gene Expression Regulation (87)
- Inbred C57BL (84)
- Publication
-
- Faculty, Staff and Student Publications (2251)
- Faculty, Staff and Students Publications (230)
- Journal of Engineering Research (79)
- Dissertations and Theses (Open Access) (10)
- Dissertations (4)
-
- Chulalongkorn Medical Journal (3)
- Publications and Research (3)
- Rowan-Virtua Research Day (3)
- Theses & Dissertations (3)
- Graduate Theses, Dissertations, and Problem Reports (ETD) (2)
- Makara Journal of Science (2)
- Research Symposium (2)
- Translational Projects (Open Access) (2)
- Augustana Center for the Study of Ethics Essay Contest (1)
- Biomedical Engineering Undergraduate Honors Theses (1)
- Branch Mathematics and Statistics Faculty and Staff Publications (1)
- Center on Aging Staff Publications (1)
- Computer Science Senior Theses (1)
- Dartmouth College Ph.D Dissertations (1)
- Department of Neurosurgery Faculty Papers (1)
- Department of Pharmacology and Experimental Therapeutics Faculty Papers (1)
- Department of Surgery Faculty Papers (1)
- Digital Journal of Clinical Medicine (1)
- Electronic Theses & Dissertations (2024 - present) (1)
- Faculty Book Display Case (1)
- Graduate Industrial Research Symposium (1)
- Graduate Theses and Dissertations (1)
- Health, Human Performance and Recreation Faculty Publications and Presentations (1)
- Honors Undergraduate Conference (1)
- Honors Undergraduate Theses (1)
- Publication Type
Articles 1171 - 1200 of 2632
Full-Text Articles in Biomedical Informatics
Maldi Imaging Mass Spectrometry Visualizes The Distribution Of Antidepressant Duloxetine And Its Major Metabolites In Mouse Brain, Liver, Kidney, And Spleen Tissues, Saleh M Khalil, Xuan Qin, John M Hakenjos, Jian Wang, Zhaoyong Hu, Xinli Liu, Jin Wang, Mirjana Maletic-Savatic, Kevin R Mackenzie, Martin M Matzuk, Feng Li
Maldi Imaging Mass Spectrometry Visualizes The Distribution Of Antidepressant Duloxetine And Its Major Metabolites In Mouse Brain, Liver, Kidney, And Spleen Tissues, Saleh M Khalil, Xuan Qin, John M Hakenjos, Jian Wang, Zhaoyong Hu, Xinli Liu, Jin Wang, Mirjana Maletic-Savatic, Kevin R Mackenzie, Martin M Matzuk, Feng Li
Faculty, Staff and Student Publications
Imaging mass spectrometry (IMS) is a powerful tool for mapping the spatial distribution of unlabeled drugs and metabolites that may find application in assessing drug delivery, explaining drug efficacy, and identifying potential toxicity. This study focuses on determining the spatial distribution of the antidepressant duloxetine, which is widely prescribed despite common adverse effects (liver injury, constant headaches) whose mechanisms are not fully understood. We used high-resolution IMS with matrix-assisted laser desorption/ionization to examine the distribution of duloxetine and its major metabolites in four mouse organs where it may contribute to efficacy or toxicity: brain, liver, kidney, and spleen. In none …
The Ifitm5 Mutation In Osteogenesis Imperfecta Type V Is Associated With An Erk/Sox9-Dependent Osteoprogenitor Differentiation Defect, Ronit Marom, I-Wen Song, Emily C Busse, Megan E Washington, Ava S Berrier, Vittoria C Rossi, Laura Ortinau, Youngjae Jeong, Ming-Ming Jiang, Brian C Dawson, Mary Adeyeye, Carolina Leynes, Caressa D Lietman, Bridget M Stroup, Dominyka Batkovskyte, Mahim Jain, Yuqing Chen, Racel Cela, Alexis Castellon, Alyssa A Tran, Isabel Lorenzo, D Nicole Meyers, Shixia Huang, Alicia Turner, Vinitha Shenava, Maegen Wallace, Eric Orwoll, Dongsu Park, Catherine G Ambrose, Sandesh Cs Nagamani, Jason D Heaney, Brendan H Lee
The Ifitm5 Mutation In Osteogenesis Imperfecta Type V Is Associated With An Erk/Sox9-Dependent Osteoprogenitor Differentiation Defect, Ronit Marom, I-Wen Song, Emily C Busse, Megan E Washington, Ava S Berrier, Vittoria C Rossi, Laura Ortinau, Youngjae Jeong, Ming-Ming Jiang, Brian C Dawson, Mary Adeyeye, Carolina Leynes, Caressa D Lietman, Bridget M Stroup, Dominyka Batkovskyte, Mahim Jain, Yuqing Chen, Racel Cela, Alexis Castellon, Alyssa A Tran, Isabel Lorenzo, D Nicole Meyers, Shixia Huang, Alicia Turner, Vinitha Shenava, Maegen Wallace, Eric Orwoll, Dongsu Park, Catherine G Ambrose, Sandesh Cs Nagamani, Jason D Heaney, Brendan H Lee
Faculty, Staff and Students Publications
Osteogenesis imperfecta (OI) type V is the second most common form of OI, distinguished by hyperplastic callus formation and calcification of the interosseous membranes, in addition to the bone fragility. It is caused by a recurrent, dominant pathogenic variant (c.-14C>T) in interferon-induced transmembrane protein 5 (IFITM5). Here, we generated a conditional Rosa26-knockin mouse model to study the mechanistic consequences of the recurrent mutation. Expression of the mutant Ifitm5 in osteo-chondroprogenitor or chondrogenic cells resulted in low bone mass and growth retardation. Mutant limbs showed impaired endochondral ossification, cartilage overgrowth, and abnormal growth plate architecture. The cartilage phenotype correlates with …
Prevalence And Relevant Factors Of Nocturia And Its Impact On Sleep Quality In Chinese University Students, Yakai Liu, Zhenwei Zhang, Huijie Hu, Xiangfei He, Pengchao Xu, Qifeng Dou, Cuiping Song, Huiqing Zhang, Israel Franco, Konstantinos Kamperis, Søren Rittig, Jianguo Wen
Prevalence And Relevant Factors Of Nocturia And Its Impact On Sleep Quality In Chinese University Students, Yakai Liu, Zhenwei Zhang, Huijie Hu, Xiangfei He, Pengchao Xu, Qifeng Dou, Cuiping Song, Huiqing Zhang, Israel Franco, Konstantinos Kamperis, Søren Rittig, Jianguo Wen
Faculty, Staff and Student Publications
The purpose of this study was to investigate the prevalence and relevant factors of nocturia and its impact on sleep quality in university students in Mainland China. A large-scale survey was conducted on 14,000 university students from 3 universities in Henan province, China by using an anonymous questionnaire. The questionnaire collected the information from the past six months. The relationships between the prevalence of nocturia and its relevant factors were evaluated. A total of 13,874 questionnaires were collected and 13,104 qualified for statistical analysis. A total of 659 students suffered from clinically relevant nocturia (CRN) (4.56% in male and 5.34% …
Association Between Helicobacter Pylori Infection, Mismatch Repair, Her2 And Tumor-Infiltrating Lymphocytes In Gastric Cancer, Carlos A Castaneda, Miluska Castillo, Luis A Bernabe, Joselyn Sanchez, Matteo Fassan, Katherine Tello, Ignacio Ivan Wistuba, Ivan Chavez Passiuri, Eloy Ruiz, Juvenal Sanchez, Fernando Barreda, Daniel Valdivia, Yaqueline Bazan, Milagros Abad-Licham, Claudio Mengoa, Hugo Fuentes, Paola Montenegro, Ebert Poquioma, Raul Alatrista, Claudio J Flores, Luis Taxa
Association Between Helicobacter Pylori Infection, Mismatch Repair, Her2 And Tumor-Infiltrating Lymphocytes In Gastric Cancer, Carlos A Castaneda, Miluska Castillo, Luis A Bernabe, Joselyn Sanchez, Matteo Fassan, Katherine Tello, Ignacio Ivan Wistuba, Ivan Chavez Passiuri, Eloy Ruiz, Juvenal Sanchez, Fernando Barreda, Daniel Valdivia, Yaqueline Bazan, Milagros Abad-Licham, Claudio Mengoa, Hugo Fuentes, Paola Montenegro, Ebert Poquioma, Raul Alatrista, Claudio J Flores, Luis Taxa
Faculty, Staff and Student Publications
BACKGROUND: The influence of Helicobacter-pylori (H. pylori) infection and the characteristics of gastric cancer (GC) on tumor-infiltrating lymphocyte (TIL) levels has not been extensively studied. Analysis of infiltrating-immune-cell subtypes as well as survival is necessary to obtain comprehensive information.
AIM: To determine the rates of deficient mismatch-repair (dMMR), HER2-status and H. pylori infection and their association with TIL levels in GC.
METHODS: Samples from 503 resected GC tumors were included and TIL levels were evaluated following the international-TILs-working-group recommendations with assessment of the intratumoral (IT), stromal (ST) and invasive-border (IB) compartments. The density of CD3, CD8 and CD163 …
Variance-Components Tests For Genetic Association With Multiple Interval-Censored Outcomes, Jaihee Choi, Zhichao Xu, Ryan Sun
Variance-Components Tests For Genetic Association With Multiple Interval-Censored Outcomes, Jaihee Choi, Zhichao Xu, Ryan Sun
Faculty, Staff and Student Publications
Massive genetic compendiums such as the UK Biobank have become an invaluable resource for identifying genetic variants that are associated with complex diseases. Due to the difficulties of massive data collection, a common practice of these compendiums is to collect interval-censored data. One challenge in analyzing such data is the lack of methodology available for genetic association studies with interval-censored data. Genetic effects are difficult to detect because of their rare and weak nature, and often the time-to-event outcomes are transformed to binary phenotypes for access to more powerful signal detection approaches. However transforming the data to binary outcomes can …
Deepcg: A Cell Graph Model For Predicting Prognosis In Lung Adenocarcinoma, Baoyi Zhang, Chenyang Li, Jia Wu, Jianjun Zhang, Chao Cheng
Deepcg: A Cell Graph Model For Predicting Prognosis In Lung Adenocarcinoma, Baoyi Zhang, Chenyang Li, Jia Wu, Jianjun Zhang, Chao Cheng
Faculty, Staff and Student Publications
Lung cancer is the first leading cause of cancer-related death in the United States, with lung adenocarcinoma as the major subtype accounting for 40% of all cases. To improve patient survival, image-based prognostic models were developed due to the ready availability of pathological images at diagnosis. However, the application of these models is hampered by two main challenges: the lack of publicly available image datasets with high-quality survival information and the poor interpretability of conventional convolutional neural network models. Here, we integrated matched transcriptomic and H&E staining data from TCGA (The Cancer Genome Atlas) to develop an image-based prognostic model, …
Developmental Milestones And Daily Living Skills In Individuals With Angelman Syndrome, Anjali Sadhwani, Sonya Powers, Anne Wheeler, Hillary Miller, Sarah Nelson Potter, Sarika U Peters, Carlos A Bacino, Steven A Skinner, Logan K Wink, Craig A Erickson, Lynne M Bird, Wen-Hann Tan
Developmental Milestones And Daily Living Skills In Individuals With Angelman Syndrome, Anjali Sadhwani, Sonya Powers, Anne Wheeler, Hillary Miller, Sarah Nelson Potter, Sarika U Peters, Carlos A Bacino, Steven A Skinner, Logan K Wink, Craig A Erickson, Lynne M Bird, Wen-Hann Tan
Faculty, Staff and Students Publications
BACKGROUND: Angelman syndrome (AS) is a neurodevelopmental disorder associated with severe global developmental delay. However, the ages at which different developmental skills are achieved in these individuals remain unclear. We seek to determine the probability and the age of acquisition of specific developmental milestones and daily living skills in individuals with AS across the different molecular subtypes, viz. class I deletion, class II deletion, uniparental disomy, imprinting defect, and UBE3A variants.
METHODS: Caregivers participating in a longitudinal multicenter Angelman Syndrome Natural History Study completed a questionnaire regarding the age at which their children achieved specific developmental milestones and daily living …
Assessing The Impact Of Storage Conditions On Rna From Human Saliva And Its Application To The Identification Of Mrna Biomarkers For Asthma, Poorna Manasa Bhamidimarri, David Fuentes, Laila Salameh, Bassam Mahboub, Rifat Hamoudi
Assessing The Impact Of Storage Conditions On Rna From Human Saliva And Its Application To The Identification Of Mrna Biomarkers For Asthma, Poorna Manasa Bhamidimarri, David Fuentes, Laila Salameh, Bassam Mahboub, Rifat Hamoudi
Faculty, Staff and Student Publications
Introduction: Human saliva was used to develop non-invasive liquid biopsy biomarkers to establish saliva as an alternate to blood and plasma in translational research. The present study focused on understanding the impact of sample storage conditions on the extraction of RNA from saliva and the RNA yield, to be applied in clinical diagnosis. In this study, genes related to asthma were used to test the method developed.
Methods: Salivary RNA was extracted from three subjects using the Qiazol® based method and quantified by both spectrophotometric (NanoDrop) and fluorometric (Qubit®) methods. RNA integrity was measured using a bioanalyzer. Quantitative PCR was …
Persistent Gram-Negative Bloodstream Infection Increases The Risk Of Recurrent Bloodstream Infection With The Same Species, Paa Kwesi Ankrah, Andrew Bock, Felicia Ruffin, Blake M Hanson, Cesar A Arias, Stacey A Maskarinec, Joshua Parsons, Vance G Fowler, Joshua T Thaden
Persistent Gram-Negative Bloodstream Infection Increases The Risk Of Recurrent Bloodstream Infection With The Same Species, Paa Kwesi Ankrah, Andrew Bock, Felicia Ruffin, Blake M Hanson, Cesar A Arias, Stacey A Maskarinec, Joshua Parsons, Vance G Fowler, Joshua T Thaden
Faculty, Staff and Student Publications
The association between persistent gram-negative bloodstream infection (GN-BSI), or ongoing positive cultures, and recurrent GN-BSI has not been investigated. Among 992 adults, persistent GN-BSI was associated with increased recurrent GN-BSI with the same bacterial species and strain (6% vs 2%; P = .04). Persistent GN-BSI may be a marker of complicated infection.
Immunotherapy In Locally Advanced Cervical Cancer: Integrating Keynote-A18 Into Management Strategies, Jeffrey A How, Amir A Jazaeri
Immunotherapy In Locally Advanced Cervical Cancer: Integrating Keynote-A18 Into Management Strategies, Jeffrey A How, Amir A Jazaeri
Faculty, Staff and Student Publications
In locally advanced cervical cancer (LACC), the benefit of PD-1 blockade was unknown. In KEYNOTE-A18, Lorusso et al.1 compared the efficacy and safety of adding pembrolizumab to chemoradiation in LACC and demonstrated favorable outcomes. Given multiple approved indications of pembrolizumab in cervical cancer, strategies for optimal integration into management will be needed to maximize overall survival.
Supporting Ontario Public Health Units To Address Adverse Childhood Experiences In Pandemic Recovery Planning: A Priority-Setting Exercise, Kimberly B Harding, Erica Di Ruggiero, Erick Gonzalez, Amanda Hicks, Daniel W Harrington, Sarah Carsley
Supporting Ontario Public Health Units To Address Adverse Childhood Experiences In Pandemic Recovery Planning: A Priority-Setting Exercise, Kimberly B Harding, Erica Di Ruggiero, Erick Gonzalez, Amanda Hicks, Daniel W Harrington, Sarah Carsley
Faculty, Staff and Student Publications
BACKGROUND: Adverse childhood experiences (ACEs) are potentially traumatic exposures experienced during childhood, for example, neglect. There is growing evidence that the coronavirus disease 2019 (COVID-19) pandemic and related socioeconomic conditions contributed to an increased risk of ACEs. As public health programs/services are re-evaluated and restored following the state of emergency, it is important to plan using an ACEs-informed lens. The aim of this study was to identify and prioritize initiatives or activities that Public Health Ontario (PHO) could undertake to support Ontario public health units' work towards ACEs-informed pandemic recovery plans.
METHODS: The Child Health and Nutrition Research Initiative method …
Identifying Mage-A4-Positive Tumors For Tcr T Cell Therapies In Hla-A∗02-Eligible Patients, Tianjiao Wang, Jean-Marc Navenot, Stavros Rafail, Cynthia Kurtis, Mark Carroll, Marian Van Kerckhoven, Sofie Van Rossom, Kelly Schats, Konstantinos Avraam, Robyn Broad, Karen Howe, Ashley Liddle, Amber Clayton, Ruoxi Wang, Laura Quinn, Joseph P Sanderson, Cheryl Mcalpine, Carly Carozza, Eric Pimpinella, Susan Hsu, Francine Brophy, Erica Elefant, Paige Bayer, Dennis Williams, Marcus O Butler, Jeffrey M Clarke, Justin F Gainor, Ramaswamy Govindan, Victor Moreno, Melissa Johnson, Janet Tu, David S Hong, George R Blumenschein
Identifying Mage-A4-Positive Tumors For Tcr T Cell Therapies In Hla-A∗02-Eligible Patients, Tianjiao Wang, Jean-Marc Navenot, Stavros Rafail, Cynthia Kurtis, Mark Carroll, Marian Van Kerckhoven, Sofie Van Rossom, Kelly Schats, Konstantinos Avraam, Robyn Broad, Karen Howe, Ashley Liddle, Amber Clayton, Ruoxi Wang, Laura Quinn, Joseph P Sanderson, Cheryl Mcalpine, Carly Carozza, Eric Pimpinella, Susan Hsu, Francine Brophy, Erica Elefant, Paige Bayer, Dennis Williams, Marcus O Butler, Jeffrey M Clarke, Justin F Gainor, Ramaswamy Govindan, Victor Moreno, Melissa Johnson, Janet Tu, David S Hong, George R Blumenschein
Faculty, Staff and Student Publications
T cell receptor (TCR) T cell therapies target tumor antigens in a human leukocyte antigen (HLA)-restricted manner. Biomarker-defined therapies require validation of assays suitable for determination of patient eligibility. For clinical trials evaluating TCR T cell therapies targeting melanoma-associated antigen A4 (MAGE-A4), screening in studies NCT02636855 and NCT04044768 assesses patient eligibility based on: (1) high-resolution HLA typing and (2) tumor MAGE-A4 testing via an immunohistochemical assay in HLA-eligible patients. The HLA/MAGE-A4 assays validation, biomarker data, and their relationship to covariates (demographics, cancer type, histopathology, tissue location) are reported here. HLA-A∗02 eligibility was 44.8% (2,959/6,606) in patients from 43 sites across …
Ikzf1 And Ubr4 Gene Variants Drive Autoimmunity And Th2 Polarization In Igg4-Related Disease, Qingxiang Liu, Yanyan Zheng, Ines Sturmlechner, Abhinav Jain, Maryam Own, Qiankun Yang, Huimin Zhang, Filippo Pinto E Vairo, Karen Cerosaletti, Jane H Buckner, Kenneth J Warrington, Matthew J Koster, Cornelia M Weyand, Jörg J Goronzy
Ikzf1 And Ubr4 Gene Variants Drive Autoimmunity And Th2 Polarization In Igg4-Related Disease, Qingxiang Liu, Yanyan Zheng, Ines Sturmlechner, Abhinav Jain, Maryam Own, Qiankun Yang, Huimin Zhang, Filippo Pinto E Vairo, Karen Cerosaletti, Jane H Buckner, Kenneth J Warrington, Matthew J Koster, Cornelia M Weyand, Jörg J Goronzy
Faculty, Staff and Student Publications
IgG4-related disease (IgG4-RD) is a systemic immune-mediated fibroinflammatory disease whose pathomechanisms remain poorly understood. Here, we identified gene variants in familial IgG4-RD and determined their functional consequences. All 3 affected members of the family shared variants of the transcription factor IKAROS, encoded by IKZF1, and the E3 ubiquitin ligase UBR4. The IKAROS variant increased binding to the FYN promoter, resulting in higher transcription of FYN in T cells. The UBR4 variant prevented the lysosomal degradation of the phosphatase CD45. In the presence of elevated FYN, CD45 functioned as a positive regulatory loop, lowering the threshold for T cell activation. Consequently, …
Durable Objective Response To Lurbinectedin In Small Cell Bladder Cancer With Tp53 Mutation: A Molecular-Directed Strategy, Mohammad Jad Moussa, Jaanki Khandelwal, Nathaniel R Wilson, Sagar A Naik, Vivek Subbiah, Matthew T Campbell, Pavlos Msaouel, Parminder Singh, Omar Alhalabi
Durable Objective Response To Lurbinectedin In Small Cell Bladder Cancer With Tp53 Mutation: A Molecular-Directed Strategy, Mohammad Jad Moussa, Jaanki Khandelwal, Nathaniel R Wilson, Sagar A Naik, Vivek Subbiah, Matthew T Campbell, Pavlos Msaouel, Parminder Singh, Omar Alhalabi
Faculty, Staff and Student Publications
Small cell bladder cancer (SCBC) is a rare and aggressive disease, often treated with platinum/etoposide-based chemotherapy. Key molecular drivers include the inactivation of onco-suppressor genes (TP53, RB1) and amplifications in proto-oncogenes (MYC). We report a patient with SCBC who achieved an objective and prolonged response to lurbinectedin, which has been approved for metastatic small cell lung cancer, after developing disease progression on cisplatin/etoposide and nivolumab/ipilimumab. A genomic analysis of a metastatic biopsy prior to lurbinectedin initiation revealed a TP53 mutation and amplification of the cell cycle regulators E2F3 and MYCL. A repeat biopsy following …
Rest-Dependent Downregulation Of Von Hippel-Lindau Tumor Suppressor Promotes Autophagy In Shh-Medulloblastoma, Ashutosh Singh, Donghang Cheng, Jyothishmathi Swaminathan, Yanwen Yang, Yan Zheng, Nancy Gordon, Vidya Gopalakrishnan
Rest-Dependent Downregulation Of Von Hippel-Lindau Tumor Suppressor Promotes Autophagy In Shh-Medulloblastoma, Ashutosh Singh, Donghang Cheng, Jyothishmathi Swaminathan, Yanwen Yang, Yan Zheng, Nancy Gordon, Vidya Gopalakrishnan
Faculty, Staff and Student Publications
The RE1 silencing transcription factor (REST) is a driver of sonic hedgehog (SHH) medulloblastoma genesis. Our previous studies showed that REST enhances cell proliferation, metastasis and vascular growth and blocks neuronal differentiation to drive progression of SHH medulloblastoma tumors. Here, we demonstrate that REST promotes autophagy, a pathway that is found to be significantly enriched in human medulloblastoma tumors relative to normal cerebella. In SHH medulloblastoma tumor xenografts, REST elevation is strongly correlated with increased expression of the hypoxia-inducible factor 1-alpha (HIF1α)-a positive regulator of autophagy, and with reduced expression of the von Hippel-Lindau (VHL) tumor suppressor protein - a …
Digital Twin Mathematical Models Suggest Individualized Hemorrhagic Shock Resuscitation Strategies, Jeremy W Cannon, Danielle S Gruen, Ruben Zamora, Noah Brostoff, Kelly Hurst, John H Harn, Fayten El-Dehaibi, Zhi Geng, Rami Namas, Jason L Sperry, John B Holcomb, Bryan A Cotton, Jason J Nam, Samantha Underwood, Martin A Schreiber, Kevin K Chung, Andriy I Batchinsky, Leopoldo C Cancio, Andrew J Benjamin, Erin E Fox, Steven C Chang, Andrew P Cap, Yoram Vodovotz
Digital Twin Mathematical Models Suggest Individualized Hemorrhagic Shock Resuscitation Strategies, Jeremy W Cannon, Danielle S Gruen, Ruben Zamora, Noah Brostoff, Kelly Hurst, John H Harn, Fayten El-Dehaibi, Zhi Geng, Rami Namas, Jason L Sperry, John B Holcomb, Bryan A Cotton, Jason J Nam, Samantha Underwood, Martin A Schreiber, Kevin K Chung, Andriy I Batchinsky, Leopoldo C Cancio, Andrew J Benjamin, Erin E Fox, Steven C Chang, Andrew P Cap, Yoram Vodovotz
Faculty, Staff and Student Publications
Background: Optimizing resuscitation to reduce inflammation and organ dysfunction following human trauma-associated hemorrhagic shock is a major clinical hurdle. This is limited by the short duration of pre-clinical studies and the sparsity of early data in the clinical setting.
Methods: We sought to bridge this gap by linking preclinical data in a porcine model with clinical data from patients from the Prospective, Observational, Multicenter, Major Trauma Transfusion (PROMMTT) study via a three-compartment ordinary differential equation model of inflammation and coagulation.
Results: The mathematical model accurately predicts physiologic, inflammatory, and laboratory measures in both the porcine model and patients, as well …
Digital Twin Mathematical Models Suggest Individualized Hemorrhagic Shock Resuscitation Strategies, Jeremy W Cannon, Danielle S Gruen, Ruben Zamora, Noah Brostoff, Kelly Hurst, John H Harn, Fayten El-Dehaibi, Zhi Geng, Rami Namas, Jason L Sperry, John B Holcomb, Bryan A Cotton, Jason J Nam, Samantha Underwood, Martin A Schreiber, Kevin K Chung, Andriy I Batchinsky, Leopoldo C Cancio, Andrew J Benjamin, Erin E Fox, Steven C Chang, Andrew P Cap, Yoram Vodovotz
Digital Twin Mathematical Models Suggest Individualized Hemorrhagic Shock Resuscitation Strategies, Jeremy W Cannon, Danielle S Gruen, Ruben Zamora, Noah Brostoff, Kelly Hurst, John H Harn, Fayten El-Dehaibi, Zhi Geng, Rami Namas, Jason L Sperry, John B Holcomb, Bryan A Cotton, Jason J Nam, Samantha Underwood, Martin A Schreiber, Kevin K Chung, Andriy I Batchinsky, Leopoldo C Cancio, Andrew J Benjamin, Erin E Fox, Steven C Chang, Andrew P Cap, Yoram Vodovotz
Faculty, Staff and Student Publications
BACKGROUND: Optimizing resuscitation to reduce inflammation and organ dysfunction following human trauma-associated hemorrhagic shock is a major clinical hurdle. This is limited by the short duration of pre-clinical studies and the sparsity of early data in the clinical setting.
METHODS: We sought to bridge this gap by linking preclinical data in a porcine model with clinical data from patients from the Prospective, Observational, Multicenter, Major Trauma Transfusion (PROMMTT) study via a three-compartment ordinary differential equation model of inflammation and coagulation.
RESULTS: The mathematical model accurately predicts physiologic, inflammatory, and laboratory measures in both the porcine model and patients, as well …
Germ Cell Tumor Of The Testis: Lethal Subtypes Of A Curable Cancer, Jamaal C Jackson, Darren Sanchez, Andrew C Johns, Matthew T Campbell, Ahmet M Aydin, Neriman Gokden, Sanjay Maraboyina, Jason L Muesse, John F Ward, Louis L Pisters, Niki M Zacharias, Charles C Guo, Shi-Ming Tu
Germ Cell Tumor Of The Testis: Lethal Subtypes Of A Curable Cancer, Jamaal C Jackson, Darren Sanchez, Andrew C Johns, Matthew T Campbell, Ahmet M Aydin, Neriman Gokden, Sanjay Maraboyina, Jason L Muesse, John F Ward, Louis L Pisters, Niki M Zacharias, Charles C Guo, Shi-Ming Tu
Faculty, Staff and Student Publications
Germ cell tumor of the testis (GCT) is a curable cancer even when it is widely metastatic; however, outcomes can differ based on tumor histology. Chemo-resistance in certain phenotypes, such as teratoma and yolk sac tumor, contributes to poor clinical outcomes in some patients with GCT. Despite this resistance to S-YSTemic therapy, many of these tumor subtypes remain amenable to surgical resection and possible cure. In this study, we report on a series of seven patients highlighting two chemo-resistant subtypes of nonseminomatous germ cell tumor (NSGCT), sarcomatoid yolk sac tumor (S-YST), and epithelioid trophoblastic tumor (ETT) for which early resection …
Small Rna Signatures Of Acute Ischemic Stroke In L1cam Positive Extracellular Vesicles, Bharti Manwani, Nivetha Brathaban, Abiya Baqai, Yashee Munshi, Hilda W Ahnstedt, Mengqi Zhang, Kajsa Arkelius, Ted Llera, Edilberto Amorim, Fanny M Elahi, Neel S Singhal
Small Rna Signatures Of Acute Ischemic Stroke In L1cam Positive Extracellular Vesicles, Bharti Manwani, Nivetha Brathaban, Abiya Baqai, Yashee Munshi, Hilda W Ahnstedt, Mengqi Zhang, Kajsa Arkelius, Ted Llera, Edilberto Amorim, Fanny M Elahi, Neel S Singhal
Faculty, Staff and Student Publications
L1CAM-positive extracellular vesicles (L1EV) are an emerging biomarker that may better reflect ongoing neuronal damage than other blood-based biomarkers. The physiological roles and regulation of L1EVs and their small RNA cargoes following stroke is unknown. We sought to characterize L1EV small RNAs following stroke and assess L1EV RNA signatures for diagnosing stroke using weighted gene co-expression network analysis and random forest (RF) machine learning algorithms. Interestingly, small RNA sequencing of plasma L1EVs from patients with stroke and control patients (n = 28) identified micro(mi)RNAs known to be enriched in the brain. Weighted gene co-expression network analysis (WGCNA) revealed small RNA …
Structural Analysis Of The Female Reptile Reproductive System By Micro-Computed Tomography And Optical Coherence Tomography†, Bonnie K Kircher, Michaela A Mccown, Deirdre M Scully, Richard R Behringer, Irina V Larina
Structural Analysis Of The Female Reptile Reproductive System By Micro-Computed Tomography And Optical Coherence Tomography†, Bonnie K Kircher, Michaela A Mccown, Deirdre M Scully, Richard R Behringer, Irina V Larina
Faculty, Staff and Student Publications
Volumetric data provide unprecedented structural insight to the reproductive tract and add vital anatomical context to the relationships between organs. The morphology of the female reproductive tract in non-avian reptiles varies between species, corresponding to a broad range of reproductive modes and providing valuable insight to comparative investigations of reproductive anatomy. However, reproductive studies in reptilian models, such as the brown anole studied here, have historically relied on histological methods to understand the anatomy. While these methods are highly effective for characterizing the cell types present in each organ, histological methods lose the 3D relationships between images and leave the …
Machine Learning In Time-Lapse Imaging To Differentiate Embryos From Young Vs Old Mice†, Liubin Yang, Carolina Leynes, Ashley Pawelka, Isabel Lorenzo, Andrew Chou, Brendan Lee, Jason D Heaney
Machine Learning In Time-Lapse Imaging To Differentiate Embryos From Young Vs Old Mice†, Liubin Yang, Carolina Leynes, Ashley Pawelka, Isabel Lorenzo, Andrew Chou, Brendan Lee, Jason D Heaney
Faculty, Staff and Students Publications
Time-lapse microscopy for embryos is a non-invasive technology used to characterize early embryo development. This study employs time-lapse microscopy and machine learning to elucidate changes in embryonic growth kinetics with maternal aging. We analyzed morphokinetic parameters of embryos from young and aged C57BL6/NJ mice via continuous imaging. Our findings show that aged embryos accelerated through cleavage stages (from 5-cells) to morula compared to younger counterparts, with no significant differences observed in later stages of blastulation. Unsupervised machine learning identified two distinct clusters comprising of embryos from aged or young donors. Moreover, in supervised learning, the extreme gradient boosting algorithm successfully …
Slow Proliferation Of Bap1-Deficient Uveal Melanoma Cells Is Associated With Reduced S6 Signaling And Resistance To Nutrient Stress, Vivian Chua, Melisa Lopez-Anton, Mizue Terai, Ryota Tanaka, Usman Baqai, Timothy J Purwin, Jelan I Haj, Francis J Waltrich, Isabella Trachtenberg, Kristine Luo, Rohith Tudi, Angela Jeon, Anna Han, Inna Chervoneva, Michael A Davies, Julio A Aguirre-Ghiso, Takami Sato, Andrew E Aplin
Slow Proliferation Of Bap1-Deficient Uveal Melanoma Cells Is Associated With Reduced S6 Signaling And Resistance To Nutrient Stress, Vivian Chua, Melisa Lopez-Anton, Mizue Terai, Ryota Tanaka, Usman Baqai, Timothy J Purwin, Jelan I Haj, Francis J Waltrich, Isabella Trachtenberg, Kristine Luo, Rohith Tudi, Angela Jeon, Anna Han, Inna Chervoneva, Michael A Davies, Julio A Aguirre-Ghiso, Takami Sato, Andrew E Aplin
Faculty, Staff and Student Publications
Uveal melanoma (UM) is the deadliest form of eye cancer in adults. Inactivating mutations and/or loss of expression of the gene encoding BRCA1-associated protein 1 (BAP1) in UM tumors are associated with an increased risk of metastasis. To investigate the mechanisms underlying this risk, we explored the functional consequences of BAP1 deficiency. UM cell lines expressing mutant BAP1 grew more slowly than those expressing wild-type BAP1 in culture and in vivo. The ability of BAP1 reconstitution to restore cell proliferation in BAP1-deficient cells required its deubiquitylase activity. Proteomic analysis showed that BAP1-deficient cells had decreased phosphorylation of ribosomal S6 and …
Tmprss2 Is A Tumor Suppressor And Its Downregulation Promotes Antitumor Immunity And Immunotherapy Response In Lung Adenocarcinoma, Zhixian Liu, Qiqi Lu, Zhilan Zhang, Qiushi Feng, Xiaosheng Wang
Tmprss2 Is A Tumor Suppressor And Its Downregulation Promotes Antitumor Immunity And Immunotherapy Response In Lung Adenocarcinoma, Zhixian Liu, Qiqi Lu, Zhilan Zhang, Qiushi Feng, Xiaosheng Wang
Faculty, Staff and Student Publications
Background: TMPRSS2, a key molecule for SARS-CoV-2 invading human host cells, has an association with cancer. However, its association with lung cancer remains insufficiently unexplored.
Methods: In five bulk transcriptomics datasets, one single-cell RNA sequencing (scRNA-seq) dataset and one proteomics dataset for lung adenocarcinoma (LUAD), we explored associations between TMPRSS2 expression and immune signatures, tumor progression phenotypes, genomic features, and clinical prognosis in LUAD by the bioinformatics approach. Furthermore, we performed experimental validation of the bioinformatics findings.
Results: TMPRSS2 expression levels correlated negatively with the enrichment levels of both immune-stimulatory and immune-inhibitory signatures, while they correlated positively with the ratios …
Role Of Ethanolamine Utilization And Bacterial Microcompartment Formation In Listeria Monocytogenes Intracellular Infection, Ayan Chatterjee, Karan Gautam Kaval, Danielle A Garsin
Role Of Ethanolamine Utilization And Bacterial Microcompartment Formation In Listeria Monocytogenes Intracellular Infection, Ayan Chatterjee, Karan Gautam Kaval, Danielle A Garsin
Faculty, Staff and Student Publications
Ethanolamine (EA) affects the colonization and pathogenicity of certain human bacterial pathogens in the gastrointestinal tract. However, EA can also affect the intracellular survival and replication of host cell invasive bacteria such as Listeria monocytogenes (LMO) and Salmonella enterica serovar Typhimurium (S. Typhimurium). The EA utilization (eut) genes can be categorized as regulatory, enzymatic, or structural, and previous work in LMO showed that loss of genes encoding functions for the enzymatic breakdown of EA inhibited LMO intracellular replication. In this work, we sought to further characterize the role of EA utilization during LMO infection of host …
Therapy-Related Chronic Myelomonocytic Leukemia Does Not Have The High-Risk Features Of A Therapy-Related Neoplasm, Alex Bataller, Georgina Gener-Ricos, Emmanuel Almanza-Huante, Kelly S Chien, Samuel Urrutia, Alexandre Bazinet, Juan Jose Rodriguez-Sevilla, Danielle Hammond, Koji Sasaki, Koichi Takahashi, Courtney D Dinardo, Farhad Ravandi, Gautam Borthakur, Tapan M Kadia, Rashmi Kanagal-Shamanna, Hagop M Kantarjian, Guillermo Garcia-Manero, Guillermo Montalban-Bravo
Therapy-Related Chronic Myelomonocytic Leukemia Does Not Have The High-Risk Features Of A Therapy-Related Neoplasm, Alex Bataller, Georgina Gener-Ricos, Emmanuel Almanza-Huante, Kelly S Chien, Samuel Urrutia, Alexandre Bazinet, Juan Jose Rodriguez-Sevilla, Danielle Hammond, Koji Sasaki, Koichi Takahashi, Courtney D Dinardo, Farhad Ravandi, Gautam Borthakur, Tapan M Kadia, Rashmi Kanagal-Shamanna, Hagop M Kantarjian, Guillermo Garcia-Manero, Guillermo Montalban-Bravo
Faculty, Staff and Student Publications
Therapy-related myeloid neoplasms (t-MNs) arise after exposure to cytotoxic therapies and are associated with high-risk genetic features and poor outcomes. We analyzed a cohort of patients with therapy-related chronic myelomonocytic leukemia (tCMML; n = 71) and compared its features to that of de novo CMML (dnCMML; n = 461). Median time from cytotoxic therapy to tCMML diagnosis was 6.5 years. Compared with dnCMML, chromosome-7 abnormalities (4% vs 13%; P = .005) but not complex karyotype (3% vs 7%; P = .15), were more frequent in tCMML. tCMML was characterized by higher TP53 mutation frequency (4% vs 12%; P = .04) …
Collaborative Modeling To Compare Different Breast Cancer Screening Strategies: A Decision Analysis For The Us Preventive Services Task Force, Amy Trentham-Dietz, Christina Hunter Chapman, Jinani Jayasekera, Kathryn P Lowry, Brandy M Heckman-Stoddard, John M Hampton, Jennifer L Caswell-Jin, Ronald E Gangnon, Ying Lu, Hui Huang, Sarah Stein, Liyang Sun, Eugenio J Gil Quessep, Yuanliang Yang, Yifan Lu, Juhee Song, Diego F Muñoz, Yisheng Li, Allison W Kurian, Karla Kerlikowske, Ellen S O'Meara, Brian L Sprague, Anna N A Tosteson, Eric J Feuer, Donald Berry, Sylvia K Plevritis, Xuelin Huang, Harry J De Koning, Nicolien T Van Ravesteyn, Sandra J Lee, Oguzhan Alagoz, Clyde B Schechter, Natasha K Stout, Diana L Miglioretti, Jeanne S Mandelblatt
Collaborative Modeling To Compare Different Breast Cancer Screening Strategies: A Decision Analysis For The Us Preventive Services Task Force, Amy Trentham-Dietz, Christina Hunter Chapman, Jinani Jayasekera, Kathryn P Lowry, Brandy M Heckman-Stoddard, John M Hampton, Jennifer L Caswell-Jin, Ronald E Gangnon, Ying Lu, Hui Huang, Sarah Stein, Liyang Sun, Eugenio J Gil Quessep, Yuanliang Yang, Yifan Lu, Juhee Song, Diego F Muñoz, Yisheng Li, Allison W Kurian, Karla Kerlikowske, Ellen S O'Meara, Brian L Sprague, Anna N A Tosteson, Eric J Feuer, Donald Berry, Sylvia K Plevritis, Xuelin Huang, Harry J De Koning, Nicolien T Van Ravesteyn, Sandra J Lee, Oguzhan Alagoz, Clyde B Schechter, Natasha K Stout, Diana L Miglioretti, Jeanne S Mandelblatt
Faculty, Staff and Student Publications
IMPORTANCE: The effects of breast cancer incidence changes and advances in screening and treatment on outcomes of different screening strategies are not well known.
OBJECTIVE: To estimate outcomes of various mammography screening strategies.
DESIGN, SETTING, AND POPULATION: Comparison of outcomes using 6 Cancer Intervention and Surveillance Modeling Network (CISNET) models and national data on breast cancer incidence, mammography performance, treatment effects, and other-cause mortality in US women without previous cancer diagnoses.
EXPOSURES: Thirty-six screening strategies with varying start ages (40, 45, 50 years) and stop ages (74, 79 years) with digital mammography or digital breast tomosynthesis (DBT) annually, biennially, or …
Author Correction: Long Noncoding Rna Malat1 Protects Against Osteoporosis And Bone Metastasis, Yang Zhao, Jingyuan Ning, Hongqi Teng, Yalan Deng, Marisela Sheldon, Lei Shi, Consuelo Martinez, Jie Zhang, Annie Tian, Yutong Sun, Shinichi Nakagawa, Fan Yao, Hai Wang, Li Ma
Author Correction: Long Noncoding Rna Malat1 Protects Against Osteoporosis And Bone Metastasis, Yang Zhao, Jingyuan Ning, Hongqi Teng, Yalan Deng, Marisela Sheldon, Lei Shi, Consuelo Martinez, Jie Zhang, Annie Tian, Yutong Sun, Shinichi Nakagawa, Fan Yao, Hai Wang, Li Ma
Faculty, Staff and Student Publications
This corrects the article "Long noncoding RNA Malat1 protects against osteoporosis and bone metastasis", 2384.
Determining The Optimal Dosage Of Dexmedetomidine For Smooth Emergence In Older Patients Undergoing Spinal Surgery: A Study Of 44 Cases, Hyoeun Ahn, Yun Jeong Chae, Gyu Bin Choi, Min Gyu Lee, Ji Young Yoo
Determining The Optimal Dosage Of Dexmedetomidine For Smooth Emergence In Older Patients Undergoing Spinal Surgery: A Study Of 44 Cases, Hyoeun Ahn, Yun Jeong Chae, Gyu Bin Choi, Min Gyu Lee, Ji Young Yoo
Faculty, Staff and Student Publications
BACKGROUND Emergence agitation, or delirium, occurs during early recovery from general anesthesia and involves disorientation, excitation, and uncontrolled physical movements. Dexmedetomidine is an alpha agonist that has sedative, anxiolytic, analgesic, and sympatholytic activities and is used as a continuous infusion to prevent emergence agitation. This study aimed to evaluate patients aged 65 years and older undergoing general anesthesia to determine the 90% effective dose (ED90) of dexmedetomidine continuous intraoperative infusion to prevent emergence agitation. MATERIAL AND METHODS We enrolled 44 patients aged 65 years and older undergoing spinal surgery under general anesthesia. Dexmedetomidine administration commenced 30 minutes before surgery completion, …
Artificial Intelligence-Based Epigenomic, Transcriptomic And Histologic Signatures Of Tobacco Use In Oral Squamous Cell Carcinoma, Chi T Viet, Kesava R Asam, Gary Yu, Emma C Dyer, Sara Kochanny, Carissa M Thomas, Nicholas F Callahan, Anthony B Morlandt, Allen C Cheng, Ashish A Patel, Dylan F Roden, Simon Young, James Melville, Jonathan Shum, Paul C Walker, Khanh K Nguyen, Stephanie N Kidd, Steve C Lee, Gretchen S Folk, Dan T Viet, Anupama Grandhi, Jeremy Deisch, Yi Ye, Fatemeh Momen-Heravi, Alexander T Pearson, Bradley E Aouizerat
Artificial Intelligence-Based Epigenomic, Transcriptomic And Histologic Signatures Of Tobacco Use In Oral Squamous Cell Carcinoma, Chi T Viet, Kesava R Asam, Gary Yu, Emma C Dyer, Sara Kochanny, Carissa M Thomas, Nicholas F Callahan, Anthony B Morlandt, Allen C Cheng, Ashish A Patel, Dylan F Roden, Simon Young, James Melville, Jonathan Shum, Paul C Walker, Khanh K Nguyen, Stephanie N Kidd, Steve C Lee, Gretchen S Folk, Dan T Viet, Anupama Grandhi, Jeremy Deisch, Yi Ye, Fatemeh Momen-Heravi, Alexander T Pearson, Bradley E Aouizerat
Faculty, Staff and Student Publications
Oral squamous cell carcinoma (OSCC) biomarker studies rarely employ multi-omic biomarker strategies and pertinent clinicopathologic characteristics to predict mortality. In this study we determine for the first time a combined epigenetic, gene expression, and histology signature that differentiates between patients with different tobacco use history (heavy tobacco use with ≥10 pack years vs. no tobacco use). Using The Cancer Genome Atlas (TCGA) cohort (n = 257) and an internal cohort (n = 40), we identify 3 epigenetic markers (GPR15, GNG12, GDNF) and 13 expression markers (IGHA2, SCG5, RPL3L, NTRK1, CD96, BMP6, TFPI2, EFEMP2, RYR3, DMTN, GPD2, BAALC, and FMO3), which …
Application Of Simultaneous Uncertainty Quantification And Segmentation For Oropharyngeal Cancer Use-Case With Bayesian Deep Learning, Jaakko Sahlsten, Joel Jaskari, Kareem A Wahid, Sara Ahmed, Enrico Glerean, Renjie He, Benjamin H Kann, Antti Mäkitie, Clifton D Fuller, Mohamed A Naser, Kimmo Kaski
Application Of Simultaneous Uncertainty Quantification And Segmentation For Oropharyngeal Cancer Use-Case With Bayesian Deep Learning, Jaakko Sahlsten, Joel Jaskari, Kareem A Wahid, Sara Ahmed, Enrico Glerean, Renjie He, Benjamin H Kann, Antti Mäkitie, Clifton D Fuller, Mohamed A Naser, Kimmo Kaski
Faculty, Staff and Student Publications
BACKGROUND: Radiotherapy is a core treatment modality for oropharyngeal cancer (OPC), where the primary gross tumor volume (GTVp) is manually segmented with high interobserver variability. This calls for reliable and trustworthy automated tools in clinician workflow. Therefore, accurate uncertainty quantification and its downstream utilization is critical.
METHODS: Here we propose uncertainty-aware deep learning for OPC GTVp segmentation, and illustrate the utility of uncertainty in multiple applications. We examine two Bayesian deep learning (BDL) models and eight uncertainty measures, and utilize a large multi-institute dataset of 292 PET/CT scans to systematically analyze our approach.
RESULTS: We show that our uncertainty-based approach …