Digital Commons Network^™

Pediatric Nemaline Myopathy: A Systematic Review Using Individual Patient Data, Briana Christophers, Michael A Lopez, Vandana A Gupta, Hannes Vogel, Mary Baylies

Faculty, Staff and Student Publications

Nemaline myopathy is a skeletal muscle disease that affects 1 in 50 000 live births. The objective of this study was to develop a narrative synthesis of the findings of a systematic review of the latest case descriptions of patients with NM. A systematic search of MEDLINE, Embase, CINAHL, Web of Science, and Scopus was performed using Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines using the keywords pediatric, child, NM, nemaline rod, and rod myopathy. Case studies focused on pediatric NM and published in English between January 1, 2010, and December 31, …

Interdisciplinary Patient-Centred Poststroke Care In Follow-Up After Stroke, Screening And Treatment (Fasst) Clinic Model: A Proof-Of-Concept Pilot Study, Min Sun Kim, Sean V Cleymaet, Seung Kim, Jennifer Andres, Charles Ruchalski, Yongwoo Kim, S Ausim Azizi, Anjail Z Sharrief, Imama A Naqvi

Faculty, Staff and Student Publications

BACKGROUND: Although secondary stroke prevention is important, the optimal outpatient model that improves risk factor control and decreases post-stroke complications effectively has not been established. We created Follow-up After Stroke, Screening and Treatment (FASST), an interdisciplinary clinic involving stroke physicians and pharmacists to address poststroke complications and secondary stroke prevention systemically. We present our approach to assess its proof-of-concept in our pilot study.

METHODS: We included the patients attending FASST clinic after their hospital discharge. We used validated survey screens to assess for complications: depression, anxiety, sleep disorders, cognitive impairment, disability, social support, quality of life and functional status. Data …

Prescriptions For Potentially Inappropriate Medications From The Beers Criteria Among Older Adults Hospitalized For Heart Failure, Diana Jaber, Fabian Vargas, Linh Nguyen, Joanna Ringel, Kate Zarzuela, Mahad Musse, Min Ji Kwak, Emily B Levitan, Mathew S Maurer, Mark S Lachs, Monika M Safford, Parag Goyal

Faculty, Staff and Student Publications

BACKGROUND: We sought to better understand patterns of potentially inappropriate medications (PIMs) from the Beers criteria among older adults hospitalized with heart failure (HF). This observational study of hospitalizations was derived from the geographically diverse REasons for Geographic and Racial Differences in Stroke cohort.

METHODS AND RESULTS: We examined participants aged 65 years and older with an expert-adjudicated hospitalization for HF. The Beers criteria medications were abstracted from medical records. The prevalence of PIMs was 61.1% at admission and 64.0% at discharge. Participants were taking a median of 1 PIM (interquartile range [IQR] 0-1 PIM) at hospital admission and a …

Recurrent Neural Network Models (Covrnn) For Predicting Outcomes Of Patients With Covid-19 On Admission To Hospital: Model Development And Validation Using Electronic Health Record Data, Laila Rasmy, Masayuki Nigo, Bijun Sai Kannadath, Ziqian Xie, Bingyu Mao, Khush Patel, Yujia Zhou, Wanheng Zhang, Angela Ross, Hua Xu, Degui Zhi

Faculty, Staff and Student Publications

BACKGROUND: Predicting outcomes of patients with COVID-19 at an early stage is crucial for optimised clinical care and resource management, especially during a pandemic. Although multiple machine learning models have been proposed to address this issue, because of their requirements for extensive data preprocessing and feature engineering, they have not been validated or implemented outside of their original study site. Therefore, we aimed to develop accurate and transferrable predictive models of outcomes on hospital admission for patients with COVID-19.

METHODS: In this study, we developed recurrent neural network-based models (CovRNN) to predict the outcomes of patients with COVID-19 by use …

Gdf5+ Chondroprogenitors Derived From Human Pluripotent Stem Cells Preferentially Form Permanent Chondrocytes, Azim Pothiawala, Berke E Sahbazoglu, Bryan K Ang, Nadine Matthias, Guangsheng Pei, Qing Yan, Brian R Davis, Johnny Huard, Zhongming Zhao, Naoki Nakayama

Faculty, Staff and Student Publications

It has been established in the mouse model that during embryogenesis joint cartilage is generated from a specialized progenitor cell type, distinct from that responsible for the formation of growth plate cartilage. We recently found that mesodermal progeny of human pluripotent stem cells gave rise to two types of chondrogenic mesenchymal cells in culture: SOX9+ and GDF5+ cells. The fast-growing SOX9+ cells formed in vitro cartilage that expressed chondrocyte hypertrophy markers and readily underwent mineralization after ectopic transplantation. In contrast, the slowly growing GDF5+ cells derived from SOX9+ cells formed cartilage that tended to express low to undetectable levels of …

External Validation Of A Laboratory Prediction Algorithm For The Reduction Of Unnecessary Labs In The Critical Care Setting, Linda T Li, Tongtong Huang, Elmer V Bernstam, Xiaoqian Jiang

Faculty, Staff and Student Publications

BACKGROUND: Unnecessary laboratory tests contribute to iatrogenic harm and are a major source of waste in the health care system. We previously developed a machine learning algorithm to help clinicians identify unnecessary laboratory tests, but it has not been externally validated. In this study, we externally validate our machine learning algorithm.

METHODS: To externally validate the machine learning algorithm that was originally trained on the Medical Information Mart for Intensive Care (MIMIC) III database, we tested the algorithm in a separate institution. We identified and abstracted data for all patients older than 18 years admitted to the intensive care unit …

A Multi-Task Gaussian Process Self-Attention Neural Network For Real-Time Prediction Of The Need For Mechanical Ventilators In Covid-19 Patients, Kai Zhang, Siddharth Karanth, Bela Patel, Robert Murphy, Xiaoqian Jiang

Faculty, Staff and Student Publications

OBJECTIVE: The Coronavirus Disease 2019 (COVID-19) pandemic has overwhelmed the capacity of healthcare resources and posed a challenge for worldwide hospitals. The ability to distinguish potentially deteriorating patients from the rest helps facilitate reasonable allocation of medical resources, such as ventilators, hospital beds, and human resources. The real-time accurate prediction of a patient's risk scores could also help physicians to provide earlier respiratory support for the patient and reduce the risk of mortality.

METHODS: We propose a robust real-time prediction model for the in-hospital COVID-19 patients' probability of requiring mechanical ventilation (MV). The end-to-end neural network model incorporates the Multi-task …

Association Of Alcohol Use And Physical Activity With Body Mass Index In Mexican-Origin Adults, Natalia I Heredia, Qiong Dong, Shine Chang, Lorna H Mcneill

Faculty, Staff and Student Publications

BACKGROUND: Studies across racial/ethnic groups indicate that physical activity (PA) and alcohol consumption are positively associated, and that alcohol consumption is negatively associated with body mass index (BMI), but this relationship is less often evaluated in Hispanics. The purpose of this study was to assess the relationships between alcohol consumption, PA, and BMI in Hispanic adults.

METHODS: In this secondary data analysis of a Mexican-American cohort, we collected self-reported PA, alcohol consumption, and demographics, and measured height and weight. Linear regression assessed the association between PA and alcohol consumption with BMI, controlling for covariates. Total sample for analyses was n …

External Validation Of A Model Determining Risk Of Neoplastic Progression Of Barrett’S Esophagus In A Cohort Of Us Veterans, Theresa H Nguyen, Aaron P Thrift, Gyanprakash A Ketwaroo, Xianglin L Du, Luis Leon Novelo, Rollin George, Daniel G Rosen, Hashem B El-Serag

Faculty, Staff and Student Publications

BACKGROUND AND AIMS: Risk of esophageal adenocarcinoma (EAC) in those with Barrett's esophagus (BE) is 11-fold greater than the general population. It remains unclear which BE patients are at highest risk of progression to EAC. We aimed to validate a predictive model risk-stratifying BE patients.

METHODS: We conducted a retrospective cohort study at the Houston Veteran Affairs Medical Center of consecutive patients with a new diagnosis of BE from November 1990 to January 2019. Study follow-up was through February 2020. Patients were excluded if they had no follow-up EGD with esophageal biopsy sampling after the initial BE-diagnosing EGD or evidence …

Assessing The Established Competency Categories Of The Biosafety, Infection Prevention, And Public Health Professions: A Guide For Addressing Needed Professional Development Training For The Current And Next Pandemic, Robert J Emery, Scott J Patlovich, Kristin G King, John M Lowe, Janelle Rios

Faculty, Staff and Student Publications

A recent series of widespread infectious disease outbreaks has highlighted commonalities and differences between three key professions that operate on the front lines of response in support of research and/or direct healthcare providers: biosafety, infection prevention, and public health. This assessment, which builds upon previous study by the authors, examines the stated professional competency categories for these three areas, highlighting similarities and differences. This assessment is important as these professions are being drawn together in an operational environment driven by the current pandemic and inevitably future disease outbreaks. Cross-training opportunities for the various professions are proposed.

Responding To Natural And Industrial Disasters: Partnerships And Lessons Learned, Elaine Symanski, Heyreoun An Han, Inkyu Han, Michelle Mcdaniel, Kristina W Whitworth, Sheryl Mccurdy, William Brett Perkison, Amal Rammah, P Grace Tee Lewis, George L Delclos, Elena Craft, Melissa Bondy, Cheryl Lyn Walker, Loren Hopkins, José Guillermo Cedeño Laurent, Daisy James

Faculty, Staff and Student Publications

OBJECTIVES: The aim of this study was to provide insights learned from disaster research response (DR2) efforts following Hurricane Harvey in 2017 to launch DR2 activities following the Intercontinental Terminals Company (ITC) fire in Deer Park, Texas, in 2019.

METHODS: A multidisciplinary group of academic, community, and government partners launched a myriad of DR2 activities.

RESULTS: The DR2 response to Hurricane Harvey focused on enhancing environmental health literacy around clean-up efforts, measuring environmental contaminants in soil and water in impacted neighborhoods, and launching studies to evaluate the health impact of the disaster. The lessons learned after Harvey enabled rapid DR2 …

External Validation Of A Model Determining Risk Of Neoplastic Progression Of Barrett's Esophagus In A Cohort Of Us Veterans, Theresa H Nguyen, Aaron P Thrift, Gyanprakash A Ketwaroo, Xianglin L Du, Luis Leon Novelo, Rollin George, Daniel G Rosen, Hashem B El-Serag

Faculty, Staff and Student Publications

BACKGROUND AND AIMS: Risk of esophageal adenocarcinoma (EAC) in those with Barrett's esophagus (BE) is 11-fold greater than the general population. It remains unclear which BE patients are at highest risk of progression to EAC. We aimed to validate a predictive model risk-stratifying BE patients.

METHODS: We conducted a retrospective cohort study at the Houston Veteran Affairs Medical Center of consecutive patients with a new diagnosis of BE from November 1990 to January 2019. Study follow-up was through February 2020. Patients were excluded if they had no follow-up EGD with esophageal biopsy sampling after the initial BE-diagnosing EGD or evidence …

Integrative Analysis Of Clinical And Epigenetic Biomarkers Of Mortality, Tianxiao Huan, Steve Nguyen, Elena Colicino, Carolina Ochoa-Rosales, W David Hill, Jennifer A Brody, Mette Soerensen, Yan Zhang, Antoine Baldassari, Mohamed Ahmed Elhadad, Tanaka Toshiko, Yinan Zheng, Arce Domingo-Relloso, Dong Heon Lee, Jiantao Ma, Chen Yao, Chunyu Liu, Shih-Jen Hwang, Roby Joehanes, Myriam Fornage, Jan Bressler, Joyce B J Van Meurs, Birgit Debrabant, Jonas Mengel-From, Jacob Hjelmborg, Kaare Christensen, Pantel Vokonas, Joel Schwartz, Sina A Gahrib, Nona Sotoodehnia, Colleen M Sitlani, Sonja Kunze, Christian Gieger, Annette Peters, Melanie Waldenberger, Ian J Deary, Luigi Ferrucci, Yishu Qu, Philip Greenland, Donald M Lloyd-Jones, Lifang Hou, Stefania Bandinelli, Trudy Voortman, Brenner Hermann, Andrea Baccarelli, Eric Whitsel, James S Pankow, Daniel Levy

Faculty, Staff and Student Publications

DNA methylation (DNAm) has been reported to be associated with many diseases and with mortality. We hypothesized that the integration of DNAm with clinical risk factors would improve mortality prediction. We performed an epigenome-wide association study of whole blood DNAm in relation to mortality in 15 cohorts (n = 15,013). During a mean follow-up of 10 years, there were 4314 deaths from all causes including 1235 cardiovascular disease (CVD) deaths and 868 cancer deaths. Ancestry-stratified meta-analysis of all-cause mortality identified 163 CpGs in European ancestry (EA) and 17 in African ancestry (AA) participants at p < 1 × 10

Regularized Regression On Compositional Trees With Application To Mri Analysis, Bingkai Wang, Brian S Caffo, Xi Luo, Chin-Fu Liu, Andreia V Faria, Michael I Miller, Yi Zhao

Faculty, Staff and Student Publications

A compositional tree refers to a tree structure on a set of random variables where each random variable is a node and composition occurs at each non-leaf node of the tree. As a generalization of compositional data, compositional trees handle more complex relationships among random variables and appear in many disciplines, such as brain imaging, genomics and finance. We consider the problem of sparse regression on data that are associated with a compositional tree and propose a transformation-free tree-based regularized regression method for component selection. The regularization penalty is designed based on the tree structure and encourages a sparse tree …

Gene-Lifestyle Interactions In The Genomics Of Human Complex Traits, Vincent Laville, Timothy Majarian, Yun J Sung, Karen Schwander, Mary F Feitosa, Daniel I Chasman, Amy R Bentley, Charles N Rotimi, L Adrienne Cupples, Paul S De Vries, Michael R Brown, Alanna C Morrison, Aldi T Kraja, Mike Province, C Charles Gu, W James Gauderman, Charge Gene-Lifestyle Interactions Working Group, D C Rao, Alisa K Manning, Hugues Aschard

Faculty, Staff and Student Publications

The role and biological significance of gene-environment interactions in human traits and diseases remain poorly understood. To address these questions, the CHARGE Gene-Lifestyle Interactions Working Group conducted series of genome-wide interaction studies (GWIS) involving up to 610,475 individuals across four ancestries for three lipids and four blood pressure traits, while accounting for interaction effects with drinking and smoking exposures. Here we used GWIS summary statistics from these studies to decipher potential differences in genetic associations and G×E interactions across phenotype-exposure-ancestry combinations, and to derive insights on the potential mechanistic underlying G×E through in-silico functional analyses. Our analyses show first that …

Multi-Phenotype Analyses Of Hemostatic Traits With Cardiovascular Events Reveal Novel Genetic Associations, Gerard Temprano-Sagrera, Colleen M Sitlani, William P Bone, Miguel Martin-Bornez, Benjamin F Voight, Alanna C Morrison, Scott M Damrauer, Paul S De Vries, Nicholas L Smith, Maria Sabater-Lleal

Faculty, Staff and Student Publications

BACKGROUND: Multi-phenotype analysis of genetically correlated phenotypes can increase the statistical power to detect loci associated with multiple traits, leading to the discovery of novel loci. This is the first study to date to comprehensively analyze the shared genetic effects within different hemostatic traits, and between these and their associated disease outcomes.

OBJECTIVES: To discover novel genetic associations by combining summary data of correlated hemostatic traits and disease events.

METHODS: Summary statistics from genome wide-association studies (GWAS) from seven hemostatic traits (factor VII [FVII], factor VIII [FVIII], von Willebrand factor [VWF] factor XI [FXI], fibrinogen, tissue plasminogen activator [tPA], plasminogen …

Hiv Response Interventions That Integrate Hiv Molecular Cluster And Social Network Analysis: A Systematic Review, Daniel J Gore, Kellie Schueler, Santhoshini Ramani, Arno Uvin, Gregory Phillips, Moira Mcnulty, Kayo Fujimoto, John Schneider

Faculty, Staff and Student Publications

Due to improved efficiency and reduced cost of viral sequencing, molecular cluster analysis can be feasibly utilized alongside existing human immunodeficiency virus (HIV) prevention strategies. The goal of this paper is to elucidate how HIV molecular cluster and social network analyses are being integrated to implement HIV response interventions. We searched PubMed, Scopus, PsycINFO, and Cochrane Library databases for studies incorporating both HIV molecular cluster and social network data. We identified 32 articles that combined analyses of HIV molecular sequences and social or sexual networks. All studies were descriptive. Six studies described network interventions informed by molecular and social data …

Understanding Implementation Strategies To Support Classroom-Based Physical Activity Approaches In Elementary Schools: A Qualitative Study, Timothy J Walker, Jacob Szeszulski, Michael C Robertson, Paula M Cuccaro, Maria E Fernandez

Faculty, Staff and Student Publications

BACKGROUND: Classroom-based physical activity approaches can improve children's physical activity levels during school. However, the implementation of these approaches remains a challenge. The purpose of this study was to examine implementation strategies to support the delivery of classroom-based physical activity approaches from the perspectives of elementary school staff.

METHODS: We conducted individual interviews with elementary school staff from a mid-sized school district in Texas. Interviews lasted approximately 60 min and were audio recorded and transcribed for analyses. We used directed content analysis and an iterative categorization approach to identify emerging themes related to implementation strategies.

RESULTS: We interviewed 15 participants …

Midlife Determinants Of Healthy Cardiovascular Aging: The Atherosclerosis Risk In Communities (Aric) Study, Xiaoming Jia, Caroline Sun, Vijay Nambi, Salim S Virani, George Taffet, Eric Boerwinkle, Jan Bressler, Chiadi Ndumele, B Gwen Windham, James A De Lemos, Kunihiro Matsushita, John William Mcevoy, Ron C Hoogeveen, Elizabeth Selvin, Christie M Ballantyne

Faculty, Staff and Student Publications

BACKGROUND AND AIMS: Risk factor cutoffs are derived from associations with clinical cardiovascular disease (CVD), but how these risk factors associate with preserved cardiovascular health into old age is not well studied. We investigated midlife determinants of healthy versus nonhealthy cardiovascular aging in the Atherosclerosis Risk in Communities (ARIC) study.

METHODS: ARIC participants were categorized by cardiovascular status in older age (mean age 75.8 ± 5.3 years, range 66-90): healthy, subclinical disease (assessed by biomarkers and left ventricular function), clinical CVD (coronary heart disease, stroke, or heart failure), or prior death. We examined associations of midlife (mean age 52.1 ± …

Better Care For Older Hispanics: Identifying Priorities And Harmonizing Care, Rafael Samper-Ternent, Mary Tinetti, Lee A Jennings, Rebeca Wong, Jennifer Arney, Aanand D Naik

Faculty, Staff and Student Publications

No abstract provided.

Assessment Of Oral And Overall Health Parameters Using The Sillha Oral Wellness System, Shawn S Adibi, Ryan Hanson, David F Fray, Tania Abedi, Brianna Neil, Danielle Maher, Gena Tribble, Ben F Warner, Mary C Farach-Carson

Faculty, Staff and Student Publications

OBJECTIVE: The study evaluated use of a multipoint saliva analyzer to assess patient wellness in a contemporary dental practice setting.

STUDY DESIGN: Unstimulated saliva from a diverse 104 patient cohort was analyzed using the SillHa Oral Wellness System. The device measures the following 7 analytes present in the patient's oral rinse: cariogenic bacteria, acidity, buffer capacity, blood, leukocytes, protein, and ammonia. Data obtained were compared with validated clinical assessment data independently provided by credentialed dental professionals.

RESULTS: Measured leukocyte and protein levels were higher in patients with periodontal disease and/or deep gingival pockets. Patients with a history of cancer and/or …

Host And Gut Microbial Tryptophan Metabolism And Type 2 Diabetes: An Integrative Analysis Of Host Genetics, Diet, Gut Microbiome And Circulating Metabolites In Cohort Studies, Qibin Qi, Jun Li, Bing Yu, Jee-Young Moon, Jin C Chai, Jordi Merino, Jie Hu, Miguel Ruiz-Canela, Casey Rebholz, Zheng Wang, Mykhaylo Usyk, Guo-Chong Chen, Bianca C Porneala, Wenshuang Wang, Ngoc Quynh Nguyen, Elena V Feofanova, Megan L Grove, Thomas J Wang, Robert E Gerszten, Josée Dupuis, Jordi Salas-Salvadó, Wei Bao, David L Perkins, Martha L Daviglus, Bharat Thyagarajan, Jianwen Cai, Tao Wang, Joann E Manson, Miguel A Martínez-González, Elizabeth Selvin, Kathryn M Rexrode, Clary B Clish, Frank B Hu, James B Meigs, Rob Knight, Robert D Burk, Eric Boerwinkle, Robert C Kaplan

Faculty, Staff and Student Publications

OBJECTIVE: Tryptophan can be catabolised to various metabolites through host kynurenine and microbial indole pathways. We aimed to examine relationships of host and microbial tryptophan metabolites with incident type 2 diabetes (T2D), host genetics, diet and gut microbiota.

METHOD: We analysed associations between circulating levels of 11 tryptophan metabolites and incident T2D in 9180 participants of diverse racial/ethnic backgrounds from five cohorts. We examined host genome-wide variants, dietary intake and gut microbiome associated with these metabolites.

RESULTS: Tryptophan, four kynurenine-pathway metabolites (kynurenine, kynurenate, xanthurenate and quinolinate) and indolelactate were positively associated with T2D risk, while indolepropionate was inversely associated with …

On The Front Lines Of The Covid-19 Pandemic: Occupational Experiences Of The Intimate Partner Violence And Sexual Assault Workforce, Leila Wood, Rachel Voth Schrag, Elizabeth Baumler, Dixie Hairston, Shannon Guillot-Wright, Elizabeth Torres, Jeff R Temple

Faculty, Staff and Student Publications

In the face of increasing risk for intimate partner violence (IPV) and sexual assault during the COVID-19 pandemic, there is an urgent need to understand the experiences of the workforce providing support to survivors, as well as the evolving service delivery methods, shifting safety planning approaches, and occupational stress of frontline workers. We addressed this gap by conducting an online survey of members of IPV and sexual assault workforce using a broad, web-based recruitment strategy. In total, 352 staff from 24 states participated. We collaborated with practitioner networks and anti-violence coalitions to develop the brief survey, which included questions about …

Statins Enhance The Chemosensitivity Of R-Chop In Diffuse Large B-Cell Lymphoma, Sushanth Gouni, Paolo Strati, Gokce Toruner, Akanksha Aradhya, Ralf Landgraf, Daniel Bilbao, Francisco Vega, Nitin Kumar Agarwal

Faculty, Staff and Student Publications

The beneficial effect of statins on the anti-lymphoma activity of the rituximab-based chemotherapy regimen is controversial. Here, we retrospectively reviewed patients with naïve-treated advanced diffuse large B-cell lymphoma (DLBCL) receiving frontline R-CHOP, and for whom data regarding differential statins use was available at the time of initiation of treatment. We observe that patients treated with statins and R-CHOP experienced a significantly higher CR rate as compared to those who received R-CHOP only. We further show that patients receiving medium or high intensity statins and R-CHOP experienced a significantly higher CR as compared to those treated with R-CHOP. Six-year progression free …

Grief Symptoms Promote Inflammation During Acute Stress Among Bereaved Spouses, Ryan L Brown, Angie S Leroy, Michelle A Chen, Robert Suchting, Lisa M Jaremka, Jia Liu, Cobi Heijnen, Christopher P Fagundes

Faculty, Staff and Student Publications

The death of a spouse is associated with maladaptive immune alterations; grief severity may exacerbate this link. We investigated whether high grief symptoms were associated with an amplified inflammatory response to subsequent stress among 111 recently bereaved older adults. Participants completed a standardized psychological stressor and underwent a blood draw before, 45 min after, and 2 hr after the stressor. Those experiencing high grief symptoms (i.e., scoring > 25 on the Inventory of Complicated Grief) experienced a 45% increase in interleukin-6 (IL-6; a proinflammatory cytokine) per hour, whereas those experiencing low grief symptoms demonstrated a 26% increase. In other words, high …

Experimental Models Of Undifferentiated Pleomorphic Sarcoma And Malignant Peripheral Nerve Sheath Tumor, Angela D Bhalla, Sharon M Landers, Anand K Singh, Jace P Landry, Michelle G Yeagley, Gabryella S B Myerson, Cristian B Delgado-Baez, Stephanie Dunnand, Theresa Nguyen, Xiaoyan Ma, Svetlana Bolshakov, Brian A Menegaz, Salah-Eddine Lamhamedi-Cherradi, Xizeng Mao, Xingzhi Song, Alexander J Lazar, Ian E Mccutcheon, John M Slopis, Joseph A Ludwig, Dina C Lev, Kunal Rai, Keila E Torres

Faculty, Staff and Student Publications

Undifferentiated pleomorphic sarcoma (UPS) and malignant peripheral nerve sheath tumor (MPNST) are aggressive soft tissue sarcomas that do not respond well to current treatment modalities. The limited availability of UPS and MPNST cell lines makes it challenging to identify potential therapeutic targets in a laboratory setting. Understanding the urgent need for improved treatments for these tumors and the limited cellular models available, we generated additional cell lines to study these rare cancers. Patient-derived tumors were used to establish 4 new UPS models, including one radiation-associated UPS-UPS271.1, UPS511, UPS0103, and RIS620, one unclassified spindle cell sarcoma-USC060.1, and 3 new models of …

A Roadmap To Clinical Trials For Flash, Paige A Taylor, Jean M Moran, David A Jaffray, Jeffrey C Buchsbaum

Faculty, Staff and Student Publications

While FLASH radiation therapy is inspiring enthusiasm to transform the field, it is neither new nor well understood with respect to the radiobiological mechanisms. As FLASH clinical trials are designed, it will be important to ensure we can deliver dose consistently and safely to every patient. Much like hyperthermia and proton therapy, FLASH is a promising new technology that will be complex to implement in the clinic and similarly will require customized credentialing for multi-institutional clinical trials. There is no doubt that FLASH seems promising, but many technologies that we take for granted in conventional radiation oncology, such as rigorous …

Assessment Of Clinical Response Following Atezolizumab And Bevacizumab Treatment In Patients With Neuroendocrine Tumors: A Nonrandomized Clinical Trial, Daniel M Halperin, Suyu Liu, Arvind Dasari, David Fogelman, Priya Bhosale, Armeen Mahvash, Jeannelyn S Estrella, Laura Rubin, Ajaykumar C Morani, Mark Knafl, Tim A Overeem, Szu-Chin Fu, Luisa M Solis, Edwin Parra Cuentas, Anuj Verma, Hong-Lei Chen, Swati Gite, Priya Subashchandrabose, Shannon Dervin, Katja Schulze, Walter C Darbonne, Cindy Yun, Ignacio I Wistuba, P Andrew Futreal, Scott E Woodman, James C Yao

Faculty, Staff and Student Publications

Importance: Therapies for patients with advanced well-differentiated neuroendocrine tumors (NETs) have expanded but remain inadequate, with patients dying of disease despite recent advances in NET therapy. While patients with other cancers have seen long-term disease control and tumor regression with the application of immunotherapies, initial prospective studies of single-agent programmed cell death 1 inhibitors in NET have been disappointing.

Objective: To evaluate the response rate following treatment with the combination of the vascular endothelial growth factor inhibitor bevacizumab with the programmed cell death 1 ligand 1 inhibitor atezolizumab in patients with advanced NETs.

Design, setting, and participants: This single-arm, open-label …

Integrating Mechanism-Based Modeling With Biomedical Imaging To Build Practical Digital Twins For Clinical Oncology, Chengyue Wu, Guillermo Lorenzo, David A Hormuth, Ernesto A B F Lima, Kalina P Slavkova, Julie C Dicarlo, John Virostko, Caleb M Phillips, Debra Patt, Caroline Chung, Thomas E Yankeelov

Faculty, Staff and Student Publications

Digital twins employ mathematical and computational models to virtually represent a physical object (e.g., planes and human organs), predict the behavior of the object, and enable decision-making to optimize the future behavior of the object. While digital twins have been widely used in engineering for decades, their applications to oncology are only just emerging. Due to advances in experimental techniques quantitatively characterizing cancer, as well as advances in the mathematical and computational sciences, the notion of building and applying digital twins to understand tumor dynamics and personalize the care of cancer patients has been increasingly appreciated. In this review, we …

A First-In-Human Phase I Trial Of The Oral P-Stat3 Inhibitor Wp1066 In Patients With Recurrent Malignant Glioma, John De Groot, Martina Ott, Jun Wei, Cynthia Kassab, Dexing Fang, Hinda Najem, Barbara O'Brien, Shiao-Pei Weathers, Carlos Kamiya Matsouka, Nazanin K Majd, Rebecca A Harrison, Gregory N Fuller, Jason T Huse, James P Long, Raymond Sawaya, Ganesh Rao, Tobey J Macdonald, Waldemar Priebe, Michael Decuypere, Amy B Heimberger

Faculty, Staff and Student Publications

No abstract provided.