Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

Faculty, Staff and Student Publications

Discipline
Keyword
Publication Year

Articles 3151 - 3180 of 4227

Full-Text Articles in Entire DC Network

Cd73-Generated Extracellular Adenosine Promotes Resolution Of Neutrophil-Mediated Tissue Injury And Restrains Metaplasia In Pancreatitis, Baylee J O'Brien, Erika Y Faraoni, Lincoln N Strickland, Zhibo Ma, Victoria Mota, Samantha Mota, Xuebo Chen, Tingting Mills, Holger K Eltzschig, Kathleen E Delgiorno, Jennifer M Bailey-Lundberg Jan 2023

Cd73-Generated Extracellular Adenosine Promotes Resolution Of Neutrophil-Mediated Tissue Injury And Restrains Metaplasia In Pancreatitis, Baylee J O'Brien, Erika Y Faraoni, Lincoln N Strickland, Zhibo Ma, Victoria Mota, Samantha Mota, Xuebo Chen, Tingting Mills, Holger K Eltzschig, Kathleen E Delgiorno, Jennifer M Bailey-Lundberg

Faculty, Staff and Student Publications

Pancreatitis is currently the leading cause of gastrointestinal hospitalizations in the US. This condition occurs in response to abdominal injury, gallstones, chronic alcohol consumption or, less frequently, the cause remains idiopathic. CD73 is a cell surface ecto‐5′‐nucleotidase that generates extracellular adenosine, which can contribute to resolution of inflammation by binding adenosine receptors on infiltrating immune cells. We hypothesized genetic deletion of CD73 would result in more severe pancreatitis due to decreased generation of extracellular adenosine. CD73 knockout (CD73 −/−) and C57BL/6 (wild type, WT) mice were used to evaluate the progression and response of caerulein‐induced acute and chronic pancreatitis. …


Impact Of Region-Of-Interest Size On Immune Profiling Using Multiplex Immunofluorescence Tyramide Signal Amplification For Paraffin-Embedded Tumor Tissues, Baohua Sun, Caddie Laberiano-Fernández, Ruth Salazar-Alejo, Jiexin Zhang, Jose Luis Solorzano Rendon, Jack Lee, Luisa Maren Solis Soto, Ignacio Ivan Wistuba, Edwin Roger Parra Jan 2023

Impact Of Region-Of-Interest Size On Immune Profiling Using Multiplex Immunofluorescence Tyramide Signal Amplification For Paraffin-Embedded Tumor Tissues, Baohua Sun, Caddie Laberiano-Fernández, Ruth Salazar-Alejo, Jiexin Zhang, Jose Luis Solorzano Rendon, Jack Lee, Luisa Maren Solis Soto, Ignacio Ivan Wistuba, Edwin Roger Parra

Faculty, Staff and Student Publications

Introduction: Representative regions of interest (ROIs) analysis from the whole slide images (WSI) are currently being used to study immune markers by multiplex immunofluorescence (mIF) and single immunohistochemistry (IHC). However, the amount of area needed to be analyzed to be representative of the entire tumor in a WSI has not been defined.

Methods: We labeled tumor-associated immune cells by mIF and single IHC in separate cohorts of non-small cell lung cancer (NSCLC) samples and we analyzed them as whole tumor area as well as using different number of ROIs to know how much area will be need to represent the …


Tp53-Pten-Nf1 Depletion In Human Brain Organoids Produces A Glioma Phenotype In Vitro, Sanjay K Singh, Yan Wang, Ahmed Habib, Mamindla Priyadarshini, Chowdari V Kodavali, Apeng Chen, Wencai Ma, Jing Wang, N U Farrukh Hameed, Baoli Hu, Gregory N Fuller, Scott M Kulich, Nduka Amankulor, Rivka R Colen, Lincoln A Edwards, Pascal O Zinn Jan 2023

Tp53-Pten-Nf1 Depletion In Human Brain Organoids Produces A Glioma Phenotype In Vitro, Sanjay K Singh, Yan Wang, Ahmed Habib, Mamindla Priyadarshini, Chowdari V Kodavali, Apeng Chen, Wencai Ma, Jing Wang, N U Farrukh Hameed, Baoli Hu, Gregory N Fuller, Scott M Kulich, Nduka Amankulor, Rivka R Colen, Lincoln A Edwards, Pascal O Zinn

Faculty, Staff and Student Publications

Glioblastoma (GBM) is fatal and the study of therapeutic resistance, disease progression, and drug discovery in GBM or glioma stem cells is often hindered by limited resources. This limitation slows down progress in both drug discovery and patient survival. Here we present a genetically engineered human cerebral organoid model with a cancer-like phenotype that could provide a basis for GBM-like models. Specifically, we engineered a doxycycline-inducible vector encoding shRNAs enabling depletion of the TP53, PTEN, and NF1 tumor suppressors in human cerebral organoids. Designated as inducible short hairpin-TP53-PTEN-NF1 (ish-TPN), doxycycline treatment resulted in human cancer-like cerebral organoids that effaced the …


Flecainide For Conversion And Maintenance Of Sinus Rhythm After Mitral Valve Replacement In Rheumatic Atrial Fibrillation, Umesh Tripathi, Aditya Kapoor, Surendra Kumar Agarwal, Prabhat Tewari, Shantanu Pande, Bipin Chandra, Ankit Sahu, Roopali Khanna, Sudeep Kumar, Naveen Garg, Satyendra Tewari Jan 2023

Flecainide For Conversion And Maintenance Of Sinus Rhythm After Mitral Valve Replacement In Rheumatic Atrial Fibrillation, Umesh Tripathi, Aditya Kapoor, Surendra Kumar Agarwal, Prabhat Tewari, Shantanu Pande, Bipin Chandra, Ankit Sahu, Roopali Khanna, Sudeep Kumar, Naveen Garg, Satyendra Tewari

Faculty, Staff and Student Publications

BACKGROUND: Despite successful mitral valve replacement (MVR), many patients remain in AF. Flecainide can be useful in these patients but has not been used because of underlying structural heart disease.

METHODS: We assessed oral flecainide for conversion and maintenance of SR in 25 patients of chronic rheumatic AF following MVR (age 34.4 yrs, mean AF duration: 3.6 yrs). Non-converters underwent DC cardioversion at 24 h and 4 weeks. Patients received flecainide and bb/diltiazem at discharge.

RESULTS: Single oral dose of Flecainide achieved SR in 6/25 (24%) while 19/25 achieved SR after DCC; at24 h 21/25 (84%) were in SR. With …


Stellettin B Sensitizes Glioblastoma To Dna-Damaging Treatments By Suppressing Pi3k-Mediated Homologous Recombination Repair, Xin Peng, Shaolu Zhang, Yingying Wang, Zhicheng Zhou, Zixiang Yu, Zhenxing Zhong, Liang Zhang, Zhe-Sheng Chen, Francois X Claret, Moshe Elkabets, Feng Wang, Fan Sun, Ran Wang, Han Liang, Hou-Wen Lin, Dexin Kong Jan 2023

Stellettin B Sensitizes Glioblastoma To Dna-Damaging Treatments By Suppressing Pi3k-Mediated Homologous Recombination Repair, Xin Peng, Shaolu Zhang, Yingying Wang, Zhicheng Zhou, Zixiang Yu, Zhenxing Zhong, Liang Zhang, Zhe-Sheng Chen, Francois X Claret, Moshe Elkabets, Feng Wang, Fan Sun, Ran Wang, Han Liang, Hou-Wen Lin, Dexin Kong

Faculty, Staff and Student Publications

Glioblastoma (GBM) is the most aggressive type of cancer. Its current first-line postsurgery regimens are radiotherapy and temozolomide (TMZ) chemotherapy, both of which are DNA damage-inducing therapies but show very limited efficacy and a high risk of resistance. There is an urgent need to develop novel agents to sensitize GBM to DNA-damaging treatments. Here it is found that the triterpene compound stellettin B (STELB) greatly enhances the sensitivity of GBM to ionizing radiation and TMZ in vitro and in vivo. Mechanistically, STELB inhibits the expression of homologous recombination repair (HR) factors BRCA1/2 and RAD51 by promoting the degradation of PI3Kα …


Risk Prediction Of Pancreatic Cancer In Patients With Recent-Onset Hyperglycemia: A Machine-Learning Approach, Wansu Chen, Rebecca K Butler, Eva Lustigova, Suresh T Chari, Anirban Maitra, Jo A Rinaudo, Bechien U Wu Jan 2023

Risk Prediction Of Pancreatic Cancer In Patients With Recent-Onset Hyperglycemia: A Machine-Learning Approach, Wansu Chen, Rebecca K Butler, Eva Lustigova, Suresh T Chari, Anirban Maitra, Jo A Rinaudo, Bechien U Wu

Faculty, Staff and Student Publications

Background: New-onset diabetes (NOD) has been suggested as an early indicator of pancreatic cancer. However, the definition of NOD by the American Diabetes Association requires 2 simultaneous or consecutive elevated glycemic measures. We aimed to apply a machine-learning approach using electronic health records to predict the risk in patients with recent-onset hyperglycemia.

Materials and methods: In this retrospective cohort study, health plan enrollees 50 to 84 years of age who had an elevated (6.5%+) glycated hemoglobin (HbA1c) tested in January 2010 to September 2018 with recent-onset hyperglycemia were identified. A total of 102 potential predictors were extracted. Ten imputation datasets …


A Comparative Analysis Of Radical Cystectomy With Perioperative Chemotherapy, Chemoradiation Therapy, Or Systemic Therapy In Patients With Clinically Advanced Node-Positive Bladder Cancer (Cn2/N3), Harshit Garg, Mukund Bhandari, Furkan Dursun, Michael A Liss, Dharam Kaushik, Robert S Svatek, Ahmed M Mansour Jan 2023

A Comparative Analysis Of Radical Cystectomy With Perioperative Chemotherapy, Chemoradiation Therapy, Or Systemic Therapy In Patients With Clinically Advanced Node-Positive Bladder Cancer (Cn2/N3), Harshit Garg, Mukund Bhandari, Furkan Dursun, Michael A Liss, Dharam Kaushik, Robert S Svatek, Ahmed M Mansour

Faculty, Staff and Student Publications

Introduction: The management of non-metastatic clinically advanced lymph nodal (cN2/N3) bladder cancer (Stage IIIB) could involve radical cystectomy, chemoradiation, or systemic therapy alone. However, a definitive comparison between these approaches is lacking. This study aims to compare the outcomes of patients undergoing radical cystectomy with pelvic lymph node dissection (RC-PLND), chemoradiation therapy (CRT) or systemic therapy (including immunotherapy) (ST) only in patients with stage IIIB bladder cancer.

Materials and methods: A retrospective analysis of the National Cancer Database for patients with stage IIIB urothelial bladder cancer was done from 2004-2019. Patients were classified as Group A: Those who received RC-PLND …


Global Research Trends And Prospects Related To Tumor Microenvironment Within Triple Negative Breast Cancer: A Bibliometric Analysis, Peiting Li, Jun Li, Xiaofei Tong, Zhenyang Xiao, Wuliang Diao, Chi Zhong, Jianda Zhou, Wei Wu Jan 2023

Global Research Trends And Prospects Related To Tumor Microenvironment Within Triple Negative Breast Cancer: A Bibliometric Analysis, Peiting Li, Jun Li, Xiaofei Tong, Zhenyang Xiao, Wuliang Diao, Chi Zhong, Jianda Zhou, Wei Wu

Faculty, Staff and Student Publications

Background and aims: The tumor microenvironment (TME) has pivotal parts within multiple tumor models of onset/progression, such as triple-negative breast cancer (TNBC). This bibliometric analysis was developed to explore trends and research niches revolving around TME in TNBC.

Methods: Web of Science Core Collection was queried for identifying studies linked with TME in TNBC, after which the VOSviewer, CiteSpace, and R software programs were used to conduct bibliometric analyses and to generate corresponding visualizations.

Results: In total, this study included 1,604 studies published from 2005-2023. The USA and China exhibited the highest numbers of citations, and the research institutions with …


The Assembled Genome Of The Stroke-Prone Spontaneously Hypertensive Rat, Theodore S Kalbfleisch, Nahla A Hussien Abouel Ela, Kai Li, Wesley A Brashear, Kelli J Kochan, Andrew E Hillhouse, Yaming Zhu, Isha S Dhande, Eric J Kline, Elizabeth A Hudson, Terence D Murphy, Françoise Thibaud-Nissen, Melissa L Smith, Peter A Doris Jan 2023

The Assembled Genome Of The Stroke-Prone Spontaneously Hypertensive Rat, Theodore S Kalbfleisch, Nahla A Hussien Abouel Ela, Kai Li, Wesley A Brashear, Kelli J Kochan, Andrew E Hillhouse, Yaming Zhu, Isha S Dhande, Eric J Kline, Elizabeth A Hudson, Terence D Murphy, Françoise Thibaud-Nissen, Melissa L Smith, Peter A Doris

Faculty, Staff and Student Publications

BACKGROUND: We report the creation and evaluation of a de novo assembly of the genome of the spontaneously hypertensive rat, the most widely used model of human cardiovascular disease.

METHODS: The genome is assembled from long read sequencing (PacBio HiFi and continuous long read data [CLR]) and scaffolded with long-range structural information obtained from Bionano optical maps and proximity ligation sequencing proximity analysis of the genome. The genome assembly was polished with Illumina short reads. Completeness of the assembly was investigated using Benchmarking Universal Single Copy Orthologs analysis. The genome assembly was also evaluated with the rat reference gene set, …


Pain Experience And Sensory Changes In Astronauts During And After Short-Lasting Commercial Spaceflight: A Proof-Of-Concept Study, Andrea K Sauer, Marie Vigouroux, Patrick M Dougherty, Juan Pablo Cata, Pablo M Ingelmo Jan 2023

Pain Experience And Sensory Changes In Astronauts During And After Short-Lasting Commercial Spaceflight: A Proof-Of-Concept Study, Andrea K Sauer, Marie Vigouroux, Patrick M Dougherty, Juan Pablo Cata, Pablo M Ingelmo

Faculty, Staff and Student Publications

Space travel has been associated with musculoskeletal pain, yet little is known about the nociceptive changes and pain experience during spaceflight. This preliminary study aims to investigate the pain experience and sensory alterations in astronauts following a 17-day mission to the International Space Station (ISS) on Axiom Space's AX-1 commercial space flight. Two participants were enrolled, and data were collected pre-flight, in-flight, post-flight, and three-month post-flight. Validated pain questionnaires assessed anxiety, catastrophizing, impact on physical and mental health, disability, and overall pain experience. Qualitative interviews were conducted post-landing and conditioned pain modulation (CPM) and quantitative sensory testing (QST) were performed. …


Frontostriatal And Limbic Contributions To Cognitive Decline In Parkinson’S Disease, Gregory Brown, Jonathan Hakun, Mechelle M Lewis, Sol De Jesus, Guangwei Du, Paul J Eslinger, Lan Kong, Xuemei Huang Jan 2023

Frontostriatal And Limbic Contributions To Cognitive Decline In Parkinson’S Disease, Gregory Brown, Jonathan Hakun, Mechelle M Lewis, Sol De Jesus, Guangwei Du, Paul J Eslinger, Lan Kong, Xuemei Huang

Faculty, Staff and Student Publications

BACKGROUND AND PURPOSE: The circuitry underlying heterogenous cognitive profiles in Parkinson's disease (PD) remains unclear. The purpose of this study is to investigate whether structural changes in frontostriatal and limbic pathways contribute to different cognitive trajectories in PD.

METHODS: We obtained clinical and multimodal MRI data from 120 control and 122 PD subjects without dementia or severe motor disability. T1/T2-weighted images estimated volume, and diffusion imaging evaluated fractional anisotropy (FA) of frontostriatal (striatum and frontostriatal white matter [FSWM]) and limbic (hippocampus and fornix) structures. Montreal Cognitive Assessment (MoCA) gauged total and domain-specific (attention/executive and memory) cognitive function. Linear mixed-effects models …


Circulating Vitamin D And Breast Cancer Risk: An International Pooling Project Of 17 Cohorts, Kala Visvanathan, Alison M Mondul, Anne Zeleniuch-Jacquotte, Molin Wang, Mitchell H Gail, Shiaw-Shyuan Yaun, Stephanie J Weinstein, Marjorie L Mccullough, A Heather Eliassen, Nancy R Cook, Claudia Agnoli, Martin Almquist, Amanda Black, Julie E Buring, Chu Chen, Yu Chen, Tess Clendenen, Laure Dossus, Veronika Fedirko, Gretchen L Gierach, Edward L Giovannucci, Gary E Goodman, Marc T Goodman, Pascal Guénel, Göran Hallmans, Susan E Hankinson, Ronald L Horst, Tao Hou, Wen-Yi Huang, Michael E Jones, Corrine E Joshu, Rudolf Kaaks, Vittorio Krogh, Tilman Kühn, Marina Kvaskoff, I-Min Lee, Yahya Mahamat-Saleh, Johan Malm, Jonas Manjer, Gertraud Maskarinec, Amy E Millen, Toqir K Mukhtar, Marian L Neuhouser, Trude E Robsahm, Minouk J Schoemaker, Sabina Sieri, Malin Sund, Anthony J Swerdlow, Cynthia A Thomson, Giske Ursin, Jean Wactawski-Wende, Ying Wang, Lynne R Wilkens, Yujie Wu, Emilie Zoltick, Walter C Willett, Stephanie A Smith-Warner, Regina G Ziegler Jan 2023

Circulating Vitamin D And Breast Cancer Risk: An International Pooling Project Of 17 Cohorts, Kala Visvanathan, Alison M Mondul, Anne Zeleniuch-Jacquotte, Molin Wang, Mitchell H Gail, Shiaw-Shyuan Yaun, Stephanie J Weinstein, Marjorie L Mccullough, A Heather Eliassen, Nancy R Cook, Claudia Agnoli, Martin Almquist, Amanda Black, Julie E Buring, Chu Chen, Yu Chen, Tess Clendenen, Laure Dossus, Veronika Fedirko, Gretchen L Gierach, Edward L Giovannucci, Gary E Goodman, Marc T Goodman, Pascal Guénel, Göran Hallmans, Susan E Hankinson, Ronald L Horst, Tao Hou, Wen-Yi Huang, Michael E Jones, Corrine E Joshu, Rudolf Kaaks, Vittorio Krogh, Tilman Kühn, Marina Kvaskoff, I-Min Lee, Yahya Mahamat-Saleh, Johan Malm, Jonas Manjer, Gertraud Maskarinec, Amy E Millen, Toqir K Mukhtar, Marian L Neuhouser, Trude E Robsahm, Minouk J Schoemaker, Sabina Sieri, Malin Sund, Anthony J Swerdlow, Cynthia A Thomson, Giske Ursin, Jean Wactawski-Wende, Ying Wang, Lynne R Wilkens, Yujie Wu, Emilie Zoltick, Walter C Willett, Stephanie A Smith-Warner, Regina G Ziegler

Faculty, Staff and Student Publications

Laboratory and animal research support a protective role for vitamin D in breast carcinogenesis, but epidemiologic studies have been inconclusive. To examine comprehensively the relationship of circulating 25-hydroxyvitamin D [25(OH)D] to subsequent breast cancer incidence, we harmonized and pooled participant-level data from 10 U.S. and 7 European prospective cohorts. Included were 10,484 invasive breast cancer cases and 12,953 matched controls. Median age (interdecile range) was 57 (42-68) years at blood collection and 63 (49-75) years at breast cancer diagnosis. Prediagnostic circulating 25(OH)D was either newly measured using a widely accepted immunoassay and laboratory or, if previously measured by the cohort, …


Validation Of An Automated Contouring And Treatment Planning Tool For Pediatric Craniospinal Radiation Therapy, Soleil Hernandez, Hester Burger, Callistus Nguyen, Arnold C Paulino, John T Lucas, Austin M Faught, Jack Duryea, Tucker Netherton, Dong Joo Rhee, Carlos Cardenas, Rebecca Howell, David Fuentes, Julianne Pollard-Larkin, Laurence Court, Jeannette Parkes Jan 2023

Validation Of An Automated Contouring And Treatment Planning Tool For Pediatric Craniospinal Radiation Therapy, Soleil Hernandez, Hester Burger, Callistus Nguyen, Arnold C Paulino, John T Lucas, Austin M Faught, Jack Duryea, Tucker Netherton, Dong Joo Rhee, Carlos Cardenas, Rebecca Howell, David Fuentes, Julianne Pollard-Larkin, Laurence Court, Jeannette Parkes

Faculty, Staff and Student Publications

PURPOSE: Treatment planning for craniospinal irradiation (CSI) is complex and time-consuming, especially for resource-constrained centers. To alleviate demanding workflows, we successfully automated the pediatric CSI planning pipeline in previous work. In this work, we validated our CSI autosegmentation and autoplanning tool on a large dataset from St. Jude Children's Research Hospital.

METHODS: Sixty-three CSI patient CT scans were involved in the study. Pre-planning scripts were used to automatically verify anatomical compatibility with the autoplanning tool. The autoplanning pipeline generated 15 contours and a composite CSI treatment plan for each of the compatible test patients (n=51). Plan quality was evaluated quantitatively …


Mri And Amino Acid Pet Detection Of Whole-Brain Tumor Burden, Peng Chen, Matthew L Scarpelli, Debbie R Healey, Shwetal Mehta, C Chad Quarles Jan 2023

Mri And Amino Acid Pet Detection Of Whole-Brain Tumor Burden, Peng Chen, Matthew L Scarpelli, Debbie R Healey, Shwetal Mehta, C Chad Quarles

Faculty, Staff and Student Publications

Background: [18F]fluciclovine amino acid PET has shown promise for detecting brain tumor regions undetected on conventional anatomic MRI scans. However, it remains unclear which of these modalities provides a better assessment of the whole brain tumor burden. This study quantifies the performance of [18F]fluciclovine PET and MRI for detecting the whole brain tumor burden.

Methods: Thirteen rats were orthotopically implanted with fluorescently transduced human glioblastoma cells. Rats underwent MRI (T1- and T2-weighted) and [18F]fluciclovine PET. Next brains were excised, optically cleared, and scanned ex vivo with fluorescence imaging. All images were co-registered using a novel landmark-based registration to enable a …


A Cross-Sectional Study To Test Equivalence Of Low- Versus Intermediate-Flip Angle Dynamic Susceptibility Contrast Mri Measures Of Relative Cerebral Blood Volume In Patients With High-Grade Gliomas At 15 Tesla Field Strength, Mark S Shiroishi, Dane Weinert, Steven Y Cen, Bino Varghese, Timothy Dondlinger, Melissa Prah, Jesse Mendoza, Sina Nazemi, Nima Ameli, Negin Amini, Salman Shohas, Shannon Chen, Bavrina Bigjahan, Gabriel Zada, Thomas Chen, Josh Neman-Ebrahim, Eric L Chang, Frances E Chow, Zhaoyang Fan, Wensha Yang, Frank J Attenello, Jason Ye, Paul E Kim, Vishal N Patel, Alexander Lerner, Jay Acharya, Leland S Hu, C Chad Quarles, Jerrold L Boxerman, Ona Wu, Kathleen M Schmainda Jan 2023

A Cross-Sectional Study To Test Equivalence Of Low- Versus Intermediate-Flip Angle Dynamic Susceptibility Contrast Mri Measures Of Relative Cerebral Blood Volume In Patients With High-Grade Gliomas At 15 Tesla Field Strength, Mark S Shiroishi, Dane Weinert, Steven Y Cen, Bino Varghese, Timothy Dondlinger, Melissa Prah, Jesse Mendoza, Sina Nazemi, Nima Ameli, Negin Amini, Salman Shohas, Shannon Chen, Bavrina Bigjahan, Gabriel Zada, Thomas Chen, Josh Neman-Ebrahim, Eric L Chang, Frances E Chow, Zhaoyang Fan, Wensha Yang, Frank J Attenello, Jason Ye, Paul E Kim, Vishal N Patel, Alexander Lerner, Jay Acharya, Leland S Hu, C Chad Quarles, Jerrold L Boxerman, Ona Wu, Kathleen M Schmainda

Faculty, Staff and Student Publications

INTRODUCTION: 1.5 Tesla (1.5T) remain a significant field strength for brain imaging worldwide. Recent computer simulations and clinical studies at 3T MRI have suggested that dynamic susceptibility contrast (DSC) MRI using a 30° flip angle ("low-FA") with model-based leakage correction and no gadolinium-based contrast agent (GBCA) preload provides equivalent relative cerebral blood volume (rCBV) measurements to the reference-standard acquisition using a single-dose GBCA preload with a 60° flip angle ("intermediate-FA") and model-based leakage correction. However, it remains unclear whether this holds true at 1.5T. The purpose of this study was to test this at 1.5T in human high-grade glioma (HGG) …


The Role Of Non-Coding Rnas In Chromosomal Instability In Cancer, Swati Mohapatra, Melanie Winkle, Anh N Ton, Dien Nguyen, George A Calin Jan 2023

The Role Of Non-Coding Rnas In Chromosomal Instability In Cancer, Swati Mohapatra, Melanie Winkle, Anh N Ton, Dien Nguyen, George A Calin

Faculty, Staff and Student Publications

Chromosomal instability (CIN) is characterized by an increased frequency of changes in chromosome structure or number and is regarded as a hallmark of cancer. CIN plays a prevalent role in tumorigenesis and cancer progression by assisting the cancer cells' phenotypic adaptation to stress, which have been tightly linked to therapy resistance and metastasis. Both CIN-inducing and CIN-repressing agents are being clinically tested for the treatment of cancer to increase CIN levels to unsustainable levels leading to cell death or to decrease CIN levels to limit the development of drug resistance, respectively. Non-coding RNAs (ncRNAs) including microRNAs and long ncRNAs (lncRNAs) …


Erratum: Cxcl12-Mediated Monocyte Transmigration Into Brain Perivascular Space Leads To Neuroinflammation And Memory Deficit In Neuropathic Pain: Erratum, Chun-Lin Mai, Zhi Tan, Ya-Nan Xu, Jing-Jun Zhang, Zhen-Hua Huang, Dong Wang, Hui Zhang, Wen-Shan Gui, Jun Zhang, Zhen-Jia Lin, Ying-Tong Meng, Xiao Wei, Ying-Tao Jie, Peter M Grace, Long-Jun Wu, Li-Jun Zhou, Xian-Guo Liu Jan 2023

Erratum: Cxcl12-Mediated Monocyte Transmigration Into Brain Perivascular Space Leads To Neuroinflammation And Memory Deficit In Neuropathic Pain: Erratum, Chun-Lin Mai, Zhi Tan, Ya-Nan Xu, Jing-Jun Zhang, Zhen-Hua Huang, Dong Wang, Hui Zhang, Wen-Shan Gui, Jun Zhang, Zhen-Jia Lin, Ying-Tong Meng, Xiao Wei, Ying-Tao Jie, Peter M Grace, Long-Jun Wu, Li-Jun Zhou, Xian-Guo Liu

Faculty, Staff and Student Publications

No abstract provided.


Super-Resolution And Segmentation Deep Learning For Breast Cancer Histopathology Image Analysis, Aniwat Juhong, Bo Li, Cheng-You Yao, Chia-Wei Yang, Dalen W Agnew, Yu Leo Lei, Xuefei Huang, Wibool Piyawattanametha, Zhen Qiu Jan 2023

Super-Resolution And Segmentation Deep Learning For Breast Cancer Histopathology Image Analysis, Aniwat Juhong, Bo Li, Cheng-You Yao, Chia-Wei Yang, Dalen W Agnew, Yu Leo Lei, Xuefei Huang, Wibool Piyawattanametha, Zhen Qiu

Faculty, Staff and Student Publications

Traditionally, a high-performance microscope with a large numerical aperture is required to acquire high-resolution images. However, the images' size is typically tremendous. Therefore, they are not conveniently managed and transferred across a computer network or stored in a limited computer storage system. As a result, image compression is commonly used to reduce image size resulting in poor image resolution. Here, we demonstrate custom convolution neural networks (CNNs) for both super-resolution image enhancement from low-resolution images and characterization of both cells and nuclei from hematoxylin and eosin (H&E) stained breast cancer histopathological images by using a combination of generator and discriminator …


Easycelltype: Marker-Based Cell-Type Annotation By Automatically Querying Multiple Databases, Ruoxing Li, Jianjun Zhang, Ziyi Li Jan 2023

Easycelltype: Marker-Based Cell-Type Annotation By Automatically Querying Multiple Databases, Ruoxing Li, Jianjun Zhang, Ziyi Li

Faculty, Staff and Student Publications

MOTIVATION: Cell label annotation is a challenging step in the analysis of single-cell RNA sequencing (scRNA-seq) data, especially for tissue types that are less commonly studied. The accumulation of scRNA-seq studies and biological knowledge leads to several well-maintained cell marker databases. Manually examining the cell marker lists against these databases can be difficult due to the large amount of available information. Additionally, simply overlapping the two lists without considering gene ranking might lead to unreliable results. Thus, an automated method with careful statistical testing is needed to facilitate the usage of these databases.

RESULTS: We develop a user-friendly computational tool, …


Pain Experience And Sensory Changes In Astronauts During And After Short-Lasting Commercial Spaceflight: A Proof-Of-Concept Study, Andrea K Sauer, Marie Vigouroux, Patrick M Dougherty, Juan Pablo Cata, Pablo M Ingelmo Jan 2023

Pain Experience And Sensory Changes In Astronauts During And After Short-Lasting Commercial Spaceflight: A Proof-Of-Concept Study, Andrea K Sauer, Marie Vigouroux, Patrick M Dougherty, Juan Pablo Cata, Pablo M Ingelmo

Faculty, Staff and Student Publications

Space travel has been associated with musculoskeletal pain, yet little is known about the nociceptive changes and pain experience during spaceflight. This preliminary study aims to investigate the pain experience and sensory alterations in astronauts following a 17-day mission to the International Space Station (ISS) on Axiom Space's AX-1 commercial space flight. Two participants were enrolled, and data were collected pre-flight, in-flight, post-flight, and three-month post-flight. Validated pain questionnaires assessed anxiety, catastrophizing, impact on physical and mental health, disability, and overall pain experience. Qualitative interviews were conducted post-landing and conditioned pain modulation (CPM) and quantitative sensory testing (QST) were performed. …


Multi-Organ Spatial Stratification Of 3-D Dose Distributions Improves Risk Prediction Of Long-Term Self-Reported Severe Symptoms In Oropharyngeal Cancer Patients Receiving Radiotherapy: Development Of A Pre-Treatment Decision Support Tool, Andrew Wentzel, Abdallah S R Mohamed, Mohamed A Naser, Lisanne V Van Dijk, Katherine Hutcheson, Amy M Moreno, Clifton D Fuller, Guadalupe Canahuate, G Elisabeta Marai Jan 2023

Multi-Organ Spatial Stratification Of 3-D Dose Distributions Improves Risk Prediction Of Long-Term Self-Reported Severe Symptoms In Oropharyngeal Cancer Patients Receiving Radiotherapy: Development Of A Pre-Treatment Decision Support Tool, Andrew Wentzel, Abdallah S R Mohamed, Mohamed A Naser, Lisanne V Van Dijk, Katherine Hutcheson, Amy M Moreno, Clifton D Fuller, Guadalupe Canahuate, G Elisabeta Marai

Faculty, Staff and Student Publications

Purpose: Identify Oropharyngeal cancer (OPC) patients at high-risk of developing long-term severe radiation-associated symptoms using dose volume histograms for organs-at-risk, via unsupervised clustering.

Material and methods: All patients were treated using radiation therapy for OPC. Dose-volume histograms of organs-at-risk were extracted from patients' treatment plans. Symptom ratings were collected via the MD Anderson Symptom Inventory (MDASI) given weekly during, and 6 months post-treatment. Drymouth, trouble swallowing, mucus, and vocal dysfunction were selected for analysis in this study. Patient stratifications were obtained by applying Bayesian Mixture Models with three components to patient's dose histograms for relevant organs. The clusters with the …


Overview Of The Hecktor Challenge At Miccai 2022: Automatic Head And Neck Tumor Segmentation And Outcome Prediction In Pet/Ct, Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joel Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D Fuller, Mario Jreige, Yornna Khamis, Agustina La Greca, Abdallah Mohamed, Mohamed Naser, John O Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge Jan 2023

Overview Of The Hecktor Challenge At Miccai 2022: Automatic Head And Neck Tumor Segmentation And Outcome Prediction In Pet/Ct, Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joel Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D Fuller, Mario Jreige, Yornna Khamis, Agustina La Greca, Abdallah Mohamed, Mohamed Naser, John O Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge

Faculty, Staff and Student Publications

This paper presents an overview of the third edition of the HEad and neCK TumOR segmentation and outcome prediction (HECKTOR) challenge, organized as a satellite event of the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2022. The challenge comprises two tasks related to the automatic analysis of FDG-PET/CT images for patients with Head and Neck cancer (H&N), focusing on the oropharynx region. Task 1 is the fully automatic segmentation of H&N primary Gross Tumor Volume (GTVp) and metastatic lymph nodes (GTVn) from FDG-PET/CT images. Task 2 is the fully automatic prediction of Recurrence-Free Survival (RFS) …


Head And Neck Cancer Predictive Risk Estimator To Determine Control And Therapeutic Outcomes Of Radiotherapy (Hnc-Predictor): Development, International Multi-Institutional Validation, And Web Implementation Of Clinic-Ready Model-Based Risk Stratification For Head And Neck Cancer, Lisanne V Van Dijk, Abdallah Sr Mohamed, Sara Ahmed, Nafiul Nipu, G Elisabeta Marai, Kareem Wahid, Nanna M Sijtsema, Brandon Gunn, Adam S Garden, Amy Moreno, Andrew J Hope, Johannes A Langendijk, Clifton D Fuller Jan 2023

Head And Neck Cancer Predictive Risk Estimator To Determine Control And Therapeutic Outcomes Of Radiotherapy (Hnc-Predictor): Development, International Multi-Institutional Validation, And Web Implementation Of Clinic-Ready Model-Based Risk Stratification For Head And Neck Cancer, Lisanne V Van Dijk, Abdallah Sr Mohamed, Sara Ahmed, Nafiul Nipu, G Elisabeta Marai, Kareem Wahid, Nanna M Sijtsema, Brandon Gunn, Adam S Garden, Amy Moreno, Andrew J Hope, Johannes A Langendijk, Clifton D Fuller

Faculty, Staff and Student Publications

Background: Personalised radiotherapy can improve treatment outcomes of patients with head and neck cancer (HNC), where currently a 'one-dose-fits-all' approach is the standard. The aim was to establish individualised outcome prediction based on multi-institutional international 'big-data' to facilitate risk-based stratification of patients with HNC.

Methods: The data of 4611 HNC radiotherapy patients from three academic cancer centres were split into four cohorts: a training (n = 2241), independent test (n = 786), and external validation cohorts 1 (n = 1087) and 2 (n = 497). Tumour- and patient-related clinical variables were considered in a machine learning pipeline to predict overall …


A Bibliometric And Visual Analysis Of Cancer-Associated Fibroblasts, Wei-Chen Yuan, Jie-Xiang Zhang, Hai-Bin Chen, Ying Yuan, Yu-Pei Zhuang, Hong-Li Zhou, Mu-Han Li, Wen-Li Qiu, Hong-Guang Zhou Jan 2023

A Bibliometric And Visual Analysis Of Cancer-Associated Fibroblasts, Wei-Chen Yuan, Jie-Xiang Zhang, Hai-Bin Chen, Ying Yuan, Yu-Pei Zhuang, Hong-Li Zhou, Mu-Han Li, Wen-Li Qiu, Hong-Guang Zhou

Faculty, Staff and Student Publications

Background: Cancer-associated fibroblasts (CAFs) represent the predominant stromal component within the tumour microenvironment (TME), exhibiting considerable heterogeneity and plasticity that significantly impact immune response and metabolic reprogramming within the TME, thereby influencing tumour progression. Consequently, investigating CAFs is of utmost importance. The objective of this study is to employ bibliometric analysis in order to evaluate the current state of research on CAFs and predict future areas of research and emerging trends.

Methods: Conduct a comprehensive search for scholarly publications within the Web of Science Core Collection database, encompassing the time period from January 1, 2001, to December 31, 2022. Apply …


The Mediating Effect Of Resilience On The Relationship Between Symptom Burden And Anxiety/Depression Among Chinese Patients With Primary Liver Cancer After Liver Resection, Xue Zhang, Haoran Zhang, Zonghao Zhang, Hua Fan, Shuwen Li Jan 2023

The Mediating Effect Of Resilience On The Relationship Between Symptom Burden And Anxiety/Depression Among Chinese Patients With Primary Liver Cancer After Liver Resection, Xue Zhang, Haoran Zhang, Zonghao Zhang, Hua Fan, Shuwen Li

Faculty, Staff and Student Publications

Purpose: Primary liver cancer (PLC) is a common cancer of the digestive system. Patients with PLC often experience a heavy symptom burden and along with a significant levels of anxiety and depression after liver resection. High levels of symptom burden can lead to increased anxiety and depression, whereas high levels of resilience can alleviate these conditions. Therefore, we aimed to explore the relationships among symptom burden, resilience, and anxiety/depression in Chinese patients with PLC after liver resection and to determine whether resilience mediates the relationship between symptom burden and anxiety/depression.

Patients and methods: A total of 223 postoperative PLC patients …


Combining Small Angle X-Ray Scattering (Saxs) With Protein Structure Predictions To Characterize Conformations In Solution, Naga Babu Chinnam, Aleem Syed, Greg L Hura, Michal Hammel, John A Tainer, Susan E Tsutakawa Jan 2023

Combining Small Angle X-Ray Scattering (Saxs) With Protein Structure Predictions To Characterize Conformations In Solution, Naga Babu Chinnam, Aleem Syed, Greg L Hura, Michal Hammel, John A Tainer, Susan E Tsutakawa

Faculty, Staff and Student Publications

Accurate protein structure predictions, enabled by recent advances in machine learning algorithms, provide an entry point to probing structural mechanisms and to integrating and querying many types of biochemical and biophysical results. Limitations in such protein structure predictions can be reduced and addressed through comparison to experimental Small Angle X-ray Scattering (SAXS) data that provides protein structural information in solution. SAXS data can not only validate computational predictions, but can improve conformational and assembly prediction to produce atomic models that are consistent with solution data and biologically relevant states. Here, we describe how to obtain protein structure predictions, compare them …


Radiotherapy Reimagined: Integrating Nanomedicines Into Radiotherapy Clinical Trials, Allison N Duross, Jack Phan, Alexander J Lazar, Joshua M Walker, Alexander R Guimaraes, Carole Baas, Sunil Krishnan, Charles R Thomas, Conroy Sun, Alexander F Bagley Jan 2023

Radiotherapy Reimagined: Integrating Nanomedicines Into Radiotherapy Clinical Trials, Allison N Duross, Jack Phan, Alexander J Lazar, Joshua M Walker, Alexander R Guimaraes, Carole Baas, Sunil Krishnan, Charles R Thomas, Conroy Sun, Alexander F Bagley

Faculty, Staff and Student Publications

Radioenhancing nanoparticles (NPs) are being evaluated in ongoing clinical trials for various cancers including head and neck, lung, esophagus, pancreas, prostate, and soft tissue sarcoma. Supported by decades of preclinical investigation and recent randomized trial data establishing clinical activity, these agents are poised to influence future multimodality treatment paradigms involving radiotherapy. Although the physical interactions between NPs and ionizing radiation are well characterized, less is known about how these agents modify the tumor microenvironment, particularly regarding tumor immunogenicity. In this review, we describe the key multidisciplinary considerations related to radiation, surgery, immunology, and pathology for designing radioenhancing NP clinical trials. …


Accelerating Artificial Intelligence: How Federated Learning Can Protect Privacy, Facilitate Collaboration, And Improve Outcomes, Malhar Patel, Ittai Dayan, Elliot K Fishman, Mona Flores, Fiona J Gilbert, Michal Guindy, Eugene J Koay, Michael Rosenthal, Holger R Roth, Marius G Linguraru Jan 2023

Accelerating Artificial Intelligence: How Federated Learning Can Protect Privacy, Facilitate Collaboration, And Improve Outcomes, Malhar Patel, Ittai Dayan, Elliot K Fishman, Mona Flores, Fiona J Gilbert, Michal Guindy, Eugene J Koay, Michael Rosenthal, Holger R Roth, Marius G Linguraru

Faculty, Staff and Student Publications

Cross-institution collaborations are constrained by data-sharing challenges. These challenges hamper innovation, particularly in artificial intelligence, where models require diverse data to ensure strong performance. Federated learning (FL) solves data-sharing challenges. In typical collaborations, data is sent to a central repository where models are trained. With FL, models are sent to participating sites, trained locally, and model weights aggregated to create a master model with improved performance. At the 2021 Radiology Society of North America's (RSNA) conference, a panel was conducted titled "Accelerating AI: How Federated Learning Can Protect Privacy, Facilitate Collaboration and Improve Outcomes." Two groups shared insights: researchers from …


Huge Abdominopelvic Mass Arising From Cervical Fibroid Around An Infected Cervical Diverticulum: A Very Rare Case And A Review Of Literature, Arpita De, Reva Tripathi, Abhinav Jain, Safia Rana Jan 2023

Huge Abdominopelvic Mass Arising From Cervical Fibroid Around An Infected Cervical Diverticulum: A Very Rare Case And A Review Of Literature, Arpita De, Reva Tripathi, Abhinav Jain, Safia Rana

Faculty, Staff and Student Publications

Primary uterine diverticula are a very rare congenital anomaly of the uterus with only 21 reported cases. Even rarer is the occurrence of primary cervical diverticula with only six cases reported so far. This is a unique case of a huge abdominopelvic mass arising from cervical fibroid around an infected cervical diverticulum. A 44 year-old, P4L4 came to the OPD with a eighteen weeks size abdomino-pelvic mass. She had a failed surgery 6 months back, attempted to remove the mass. Magnetic resonance imaging revealed a cervical diverticulum which possibly had a pus collection. Relaparotomy was done. It revealed a huge …


Preoperative Tractography Algorithm For Safe Resection Of Tumors Located In The Descending Motor Pathways Zone, Edgar G Ordonez-Rubiano, Jason M Johnson, Nadin Abdalá-Vargas, Oscar F Zorro, Jorge H Marin-Munoz, Ricardo Álvarez-Tobián, Valeria Forlizzi, Carlos Castillo Rangel, Sabino Luzzi, Alvaro Campero, Javier G Patiño-Gómez, Matias Baldoncini Jan 2023

Preoperative Tractography Algorithm For Safe Resection Of Tumors Located In The Descending Motor Pathways Zone, Edgar G Ordonez-Rubiano, Jason M Johnson, Nadin Abdalá-Vargas, Oscar F Zorro, Jorge H Marin-Munoz, Ricardo Álvarez-Tobián, Valeria Forlizzi, Carlos Castillo Rangel, Sabino Luzzi, Alvaro Campero, Javier G Patiño-Gómez, Matias Baldoncini

Faculty, Staff and Student Publications

BACKGROUND: Diffusion tensor imaging (DTI) tractography facilitates maximal safe resection and optimizes planning to avoid injury during subcortical dissection along descending motor pathways (DMPs). We provide an affordable, safe, and timely algorithm for preoperative DTI motor reconstruction for gliomas adjacent to DMPs.

METHODS: Preoperative DTI reconstructions were extracted from a prospectively acquired registry of glioma resections adjacent to DMPs. The surgeries were performed over a 7-year period. Demographic, clinical, and radiographic data were extracted from patients' electronic medical records.

RESULTS: Nineteen patients (12 male) underwent preoperative tractography between January 1, 2013, and May 31, 2020. The average age was 44.5 …