Life Sciences Commons^™

Receptor-Interacting Protein 1 And 3 Kinase Activity Are Required For High-Fat Diet Induced Liver Injury In Mice, Xiaoqin Wu, Rakesh K Arya, Emily Huang, Megan R Mcmullen, Laura E Nagy

Faculty, Staff and Student Publications

BACKGROUND: The RIP1-RIP3-MLKL-mediated cell death pathway is associated with progression of non-alcohol-associated fatty liver/steatohepatitis (NAFL/NASH). Previous work identified a critical role for MLKL, the key effector regulating necroptosis, but not RIP3, in mediating high fat diet-induced liver injury in mice. RIP1 and RIP3 have active N-terminus kinase domains essential for activation of MLKL and subsequent necroptosis. However, little is known regarding domain-specific roles of RIP1/RIP3 kinase in liver diseases. Here, we hypothesized that RIP1/RIP3 kinase activity are required for the development of high fat diet-induced liver injury.

METHODS:Rip1K45A/K45A and Rip3K51A/K51A kinase-dead mice on a C57BL/6J background and their littermate …

View-Sharing For 4d Magnetic Resonance Imaging With Randomized Projection-Encoding Enables Improvements Of Respiratory Motion Imaging For Treatment Planning In Abdominothoracic Radiotherapy, Ergys Subashi, Li Feng, Yilin Liu, Scott Robertson, Paul Segars, Christopher R Kelsey, Ricardo Otazo, Jing Cai

Faculty, Staff and Student Publications

BACKGROUND AND PURPOSE: The accuracy and precision of radiation therapy are dependent on the characterization of organ-at-risk and target motion. This work aims to demonstrate a 4D magnetic resonance imaging (MRI) method for improving spatial and temporal resolution in respiratory motion imaging for treatment planning in abdominothoracic radiotherapy.

MATERIALS AND METHODS: The spatial and temporal resolution of phase-resolved respiratory imaging is improved by considering a novel sampling function based on quasi-random projection-encoding and peripheral k-space view-sharing. The respiratory signal is determined directly from k-space, obviating the need for an external surrogate marker. The average breathing curve is used to optimize …

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, 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 …

Self-Administered Meditation Application Intervention For Cancer Patients With Psychosocial Distress: A Pilot Study, Gabriel Lopez, Alejandro Chaoul, Carla L Warneke, Aimee J Christie, Catherine Powers-James, Santhosshi Narayanan, Yisheng Li, Eduardo Bruera, Lorenzo Cohen

Faculty, Staff and Student Publications

BACKGROUND: We explored the use of a novel smart phone-based application (APP) for delivery and monitoring of meditation to treat mood symptoms experienced by cancer patients.

METHODS: We assessed the feasibility of using a meditation delivery and tracking APP over 2-weeks and its impact on cancer patients' self-reported anxiety and depression. Outpatients reporting depression and/or anxiety were recruited and randomized to the APP or waitlist control group. Assessments included an expectancy scale, exit survey, mood rating before and after each meditation, and the Edmonton Symptom Assessment Scale (ESAS-FS), Hospital Anxiety and Depression Scale (HADS), and Pittsburgh Sleep Quality Index (PSQI) …

Powerful, Scalable And Resource-Efficient Meta-Analysis Of Rare Variant Associations In Large Whole Genome Sequencing Studies, Xihao Li, Corbin Quick, Hufeng Zhou, Sheila M Gaynor, Yaowu Liu, Margaret Sunitha Selvaraj, Rounak Dey, Donna K Arnett, Lawrence F Bielak, Joshua C Bis, John Blangero, Eric Boerwinkle, Donald W Bowden, Jennifer A Brody, Brian E Cade, Adolfo Correa, L Adrienne Cupples, Joanne E Curran, Paul S De Vries, Ravindranath Duggirala, Barry I Freedman, Harald H H Göring, Xiuqing Guo, Jeffrey Haessler, Rita R Kalyani, Charles Kooperberg, Brian G Kral, Leslie A Lange, Ani Manichaikul, Lisa W Martin, Stephen T Mcgarvey, Braxton D Mitchell, May E Montasser, Alanna C Morrison, Take Naseri, Jeffrey R O'Connell, Nicholette D Palmer, Patricia A Peyser, Bruce M Psaty, Laura M Raffield, Susan Redline, Alexander P Reiner, Muagututi'a Sefuiva Reupena, Kenneth M Rice, Stephen S Rich, Colleen M Sitlani, Jennifer A Smith, Kent D Taylor, Ramachandran S Vasan, Cristen J Willer, James G Wilson, Lisa R Yanek, Wei Zhao, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Topmed Lipids Working Group, Jerome I Rotter, Pradeep Natarajan, Gina M Peloso, Zilin Li, Xihong Lin

Faculty, Staff and Student Publications

Meta-analysis of whole genome sequencing/whole exome sequencing (WGS/WES) studies provides an attractive solution to the problem of collecting large sample sizes for discovering rare variants associated with complex phenotypes. Existing rare variant meta-analysis approaches are not scalable to biobank-scale WGS data. Here we present MetaSTAAR, a powerful and resource-efficient rare variant meta-analysis framework for large-scale WGS/WES studies. MetaSTAAR accounts for relatedness and population structure, can analyze both quantitative and dichotomous traits and boosts the power of rare variant tests by incorporating multiple variant functional annotations. Through meta-analysis of four lipid traits in 30,138 ancestrally diverse samples from 14 studies of …

Dose Escalation For Pancreas Sbrt: Potential And Limitations Of Using Daily Online Adaptive Radiation Therapy And An Iterative Isotoxicity Automated Planning Approach, Dong Joo Rhee, Sam Beddar, Joseph Abi Jaoude, Gabriel Sawakuchi, Rachael Martin, Cenji Yu, Laurence E Court, Ethan B Ludmir, Albert C Koong, Prajnan Das, Eugene J Koay, Cullen Taniguichi, Joshua S Niedzielski

Faculty, Staff and Student Publications

PURPOSE: To determine the dosimetric limitations of daily online adaptive pancreas stereotactic body radiation treatment by using an automated dose escalation approach.

METHODS AND MATERIALS: We collected 108 planning and daily computed tomography (CT) scans from 18 patients (18 patients × 6 CT scans) who received 5-fraction pancreas stereotactic body radiation treatment at MD Anderson Cancer Center. Dose metrics from the original non-dose-escalated clinical plan (non-DE), the dose-escalated plan created on the original planning CT (DE-ORI), and the dose-escalated plan created on daily adaptive radiation therapy CT (DE-ART) were analyzed. We developed a dose-escalation planning algorithm within the radiation treatment …

Estimating Causal Effects With Hidden Confounding Using Instrumental Variables And Environments, James P Long, Hongxu Zhu, Kim-Anh Do, Min Jin Ha

Faculty, Staff and Student Publications

Recent works have proposed regression models which are invariant across data collection environments [24, 20, 11, 16, 8]. These estimators often have a causal interpretation under conditions on the environments and type of invariance imposed. One recent example, the Causal Dantzig (CD), is consistent under hidden confounding and represents an alternative to classical instrumental variable estimators such as Two Stage Least Squares (TSLS). In this work we derive the CD as a generalized method of moments (GMM) estimator. The GMM representation leads to several practical results, including 1) creation of the Generalized Causal Dantzig (GCD) estimator which can be applied …

A Scientific Communication Mentoring Intervention Benefits Diverse Mentees With Language Variety Related Discomfort, Carrie A Cameron, Hwa Young Lee, Cheryl B Anderson, Erin K Dahlstrom, Shine Chang

Faculty, Staff and Student Publications

We studied social-psychological effects over time of a faculty-mentor workshop intervention that addressed attitudes associated with language variety and their impact on scientific communication (SC) skill development of PhD and postdoctoral STEM research trainees (N = 274). Six months after their mentors attended the workshop, all mentees had significant gains in productivity in speaking tasks. In particular, mentees with high language discomfort rated their quality of communication with their mentor and their enthusiasm about communicating more highly (p < .05 for both measures), compared to mentees with low language discomfort. In addition, mentees raised speaking nonstandardized varieties of English reported significant reductions in discomfort related to language use (p = .003), compared to mentees raised speaking standardized English. We conclude that training mentors to understand and respond to …

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. …

Bayesian Feature Selection For Radiomics Using Reliability Metrics, Katherine Shoemaker, Rachel Ger, Laurence E Court, Hugo Aerts, Marina Vannucci

Faculty, Staff and Student Publications

Introduction: Imaging of tumors is a standard step in diagnosing cancer and making subsequent treatment decisions. The field of radiomics aims to develop imaging based biomarkers using methods rooted in artificial intelligence applied to medical imaging. However, a challenging aspect of developing predictive models for clinical use is that many quantitative features derived from image data exhibit instability or lack of reproducibility across different imaging systems or image-processing pipelines. Methods: To address this challenge, we propose a Bayesian sparse modeling approach for image classification based on radiomic features, where the inclusion of more reliable features is favored via a probit …

Risk Factors Associated With Severe Clostridioides Difficile Infection In Patients With Cancer, Denise Marie A Francisco, Liangliang Zhang, Ying Jiang, Adilene Olvera, Javier Adachi, Samuel L Aitken, Christine B Peterson, Kim-Anh Do, Ryan Dillon, Engels N Obi, Robert Jenq, Pablo C Okhuysen

Faculty, Staff and Student Publications

INTRODUCTION: Antibiotic use is a risk factor for Clostridioides difficile infection (CDI). Few studies have correlated use of prior antibiotic classes with CDI, microbiome composition, and disease severity in patients with cancer. We hypothesized that previous antibiotic exposure and fecal microbiome composition at time of presentation are risk factors for severe CDI in patients with cancer.

METHODS: This non-interventional, prospective, cohort study examined 200 patients with cancer who had their first episode or first recurrence of CDI. C. difficile was identified using nucleic acid amplification testing. Univariate analysis was used to determine significant risk factors for severe CDI. Fecal microbiome …

Targeted Genomic Sequencing Of Tsc1 And Tsc2 Reveals Causal Variants In Individuals For Whom Previous Genetic Testing For Tuberous Sclerosis Complex Was Normal, Hannah D West, Mark Nellist, Rutger W W Brouwer, Mirjam C G N Van Den Hout-Van Vroonhoven, Luiz Gustavo Dufner De Almeida, Peter Elfferich, Peter Giles, Rosa M Alfano, Angela Peron, Yves Sznajer, Liesbeth De Waele, Anna Jansen, Marije Koopmans, Anneke Kievit, Laura S Farach, Hope Northrup, Julian R Sampson, Laura E Thomas, Wilfred F J Van Ijcken

Faculty, Staff and Student Publications

Tuberous sclerosis complex (TSC) is caused by inactivating variants in TSC1 and TSC2. Somatic mosaicism, as well as the size and complexity of the TSC1 and TSC2 loci, makes variant identification challenging. Indeed, in some individuals with a clinical diagnosis of TSC, diagnostic testing fails to identify an inactivating variant. To improve TSC1 and TSC2 variant detection, we screened the TSC1 and TSC2 genomic regions using targeted HaloPlex custom capture and next-generation sequencing (NGS) in genomic DNA isolated from peripheral blood of individuals with definite, possible or suspected TSC in whom no disease-associated variant had been identified by previous …

Associative Learning Contributes To The Persistence Of Fatigue-Like Behavior In Male Mice In A Model Of Cancer Survivorship, Elisabeth G Vichaya, Josephine K Darpolor, Phillip S Gross, Jessica M Molkentine, Daniel W Vermeer, John H Lee, Robert Dantzer

Faculty, Staff and Student Publications

Persistent fatigue is a debilitating side effect that impacts a significant proportion of cancer survivors for which there is not yet an FDA-approved treatment. While certainly a multi-factorial problem, persistent fatigue could be due, in part, to associations learned during treatment. Therefore, we sought to investigate the role of associative learning in the persistence of fatigue using a preclinical model of cancer survivorship. For this purpose, we used a murine model of human papilloma virus-related head and neck cancer paired with a curative regimen of cisplatin-based chemoradiation in male C57BL/6J mice. Fatigue-like behavior was assessed by measuring variations in voluntary …

Osteoblast-Specific Overexpression Of Nucleolar Protein No66/Riox1 In Mouse Embryos Leads To Osteoporosis In Adult Mice, Qin Chen, Krishna M Sinha, Benoit De Crombrugghe, Ralf Krahe

Faculty, Staff and Student Publications

In previous study, we showed that nucleolar protein 66 (NO66) is a chromatin modifier and negatively regulates Osterix activity as well as mesenchymal progenitor differentiation. Genetic ablation of the NO66 (RIOX1) gene in cells of the Prx1-expressing mesenchymal lineage leads to acceleration of osteochondrogenic differentiation and a larger skeleton in adult mice, whereas mesenchyme-specific overexpression of NO66 inhibits osteochondrogenesis resulting in dwarfism and osteopenia. However, the impact of NO66 overexpression in cells of the osteoblast lineage in vivo remains largely undefined. Here, we generated osteoblast-specific transgenic mice overexpressing a FLAG-tagged NO66 transgene driven by the …

Treatment De-Escalation In Philadelphia Chromosome-Positive B-Cell Acute Lymphoblastic Leukemia: The Emerging Role Of Chemotherapy-Free Regimens, Fadi G Haddad, Jacki Sawyers, Nicholas J Short

Faculty, Staff and Student Publications

The management of Philadelphia chromosome-positive (Ph-positive) acute lymphoblastic leukemia (ALL) has witnessed major progress over the past two decades. Initially, the incorporation of the first-generation BCR::ABL1 tyrosine kinase inhibitor (TKI) imatinib into intensive chemotherapy regimens improved outcomes compared with chemotherapy alone. The combinations of chemotherapy with second- or third-generation TKIs further improved outcomes, with higher rates of complete molecular remission (CMR) and superior survival. The combination of ponatinib plus chemotherapy resulted in durable remissions and prolonged long-term survival, even in patients who did not receive allogeneic stem cell transplantation (SCT). The promising results seen with later-generation TKIs have caused many …

Construction Of The Interaction Network Of Hub Genes In The Progression Of Barrett's Esophagus To Esophageal Adenocarcinoma, Kai Li, Peipei Duan, Haifa He, Ruijuan Du, Qian Wang, Hua Bian

Faculty, Staff and Student Publications

Introduction: Esophageal adenocarcinoma (EAC) is one of the histologic types of esophageal cancer with a poor prognosis. The majority of EAC originate from Barrett's esophagus (BE). There are few studies focusing on the dynamic progression of BE to EAC.

Methods: R software was used to analyze differentially expressed genes (DEGs) based on RNA-seq data of 94 normal esophageal squamous epithelial (NE) tissues, 113 BE tissues and 147 EAC tissues. The overlapping genes of DEGs between BE and EAC were analyzed by Venn diagram tool. The hub genes were selected by Cytoscape software based on the protein-protein interaction network of the …

Role Of Sentinel Lymph Node Biopsy For Oral Squamous Cell Carcinoma: Current Evidence And Future Challenges, Sophie S Jang, Morgan E Davis, David R Vera, Stephen Y Lai, Theresa W Guo

Faculty, Staff and Student Publications

Sentinel lymph node biopsy (SLNB) has been used across oncological specialties for prognostication, staging, and identification of occult nodal metastasis. Recent studies demonstrated the potential clinical utility of SLNB in oral cavity squamous cell carcinoma (OCSCC). Elective neck dissection is the current standard of care in early management of OCSCC with depth of invasion greater than 2-4 mm; however, majority of patients ultimately do not have nodal disease on final pathology. SLNB is an alternative procedure widely adopted in early cancer management in many oncological subspecialities. Several considerations such as depth of invasion, nodal mapping, histopathology methods, operator variability, postoperative …

Hepatocellular Carcinoma With Hepatic Vein And Inferior Vena Cava Invasion, Akash Shukla, Abhinav Jain

Faculty, Staff and Student Publications

Hepatocellular carcinoma (HCC) invades intrahepatic vessels causing tumor thrombosis. Infrequently, there is involvement of the hepatic vein (HV) and inferior vena cava (IVC). In this review, we summarize the epidemiology, classification, clinical features, and management of HCC with HV and IVC invasion. While the involvement of HV and IVC usually portends an overall poor survival, selected patients may be candidates for aggressive treatment and thus improving outcomes.

Head And Neck Radiation Therapy Patterns Of Practice Variability Identified As A Challenge To Real-World Big Data: Results From The Learning From Analysis Of Multicentre Big Data Aggregation (Lambda) Consortium, Amanda Caissie, Michelle Mierzwa, Clifton David Fuller, Murali Rajaraman, Alex Lin, Richard Popple, Lisanne Vandijk, Peter Balter, Helen Fong, Heping Xu, Matthew Kovoor, Joonsang Lee, Arvind Rao, Mary Martel, Reid Thompson, Brandon Merz, John Yao, Charles Mayo

Faculty, Staff and Student Publications

PURPOSE: Outside of randomized clinical trials, it is difficult to develop clinically relevant evidence-based recommendations for radiation therapy (RT) practice guidelines owing to lack of comprehensive real-world data. To address this knowledge gap, we formed the Learning from Analysis of Multicenter Big Data Aggregation consortium to cooperatively implement RT data standardization, develop software solutions for data analysis, and recommend clinical practice change based on real-world data analyzed. The first phase of this "Big Data" study aimed at characterizing variability in clinical practice patterns of dosimetric data for organs at risk (OARs) that would undermine subsequent use of large-scale, electronically aggregated …

Editorial: Ovarian Cancer-Targeted Medication: Parp Inhibitors, Anti-Angiogenic Drugs, Immunotherapy, And More, Zhi-Bin Wang, Dan Liu, Guang Lei, Zhao-Qian Liu, Nayiyuan Wu

Faculty, Staff and Student Publications

No abstract provided.

Mass Spectrometry Based Biomarkers For Early Detection Of Hcc Using A Glycoproteomic Approach, Yehia Mechref, Wenjing Peng, Sakshi Gautam, Parisa Ahmadi, Yu Lin, Jie Zhang, Amit G Singal, Neehar D Parikh, David M Lubman

Faculty, Staff and Student Publications

Hepatocellular carcinoma (HCC) is the fourth most common cause of cancer-related mortality worldwide and 80%-90% of HCC develops in patients that have underlying cirrhosis. Better methods of surveillance are needed to increase early detection of HCC and the proportion of patients that can be offered curative therapies. Recent work in novel mass spec-based methods for glycomic and glycopeptide analysis for discovery and confirmation of markers for early detection of HCC versus cirrhosis is reviewed in this chapter. Results from recent work in these fields by several groups and the progress made in developing markers of early HCC which can outperform …

Molecular Predictors Of Immunophenotypic Measurable Residual Disease Clearance In Acute Myeloid Leukemia, Maximilian Stahl, Andriy Derkach, Noushin Farnoud, Jan Philipp Bewersdorf, Troy Robinson, Christina Cho, Kamal Menghrajani, Minal A Patel, Sheng F Cai, Linde A Miles, Robert L Bowman, Mark B Geyer, Andrew Dunbar, Zachary D Epstein-Peterson, Erin Mcgovern, Jessica Schulman, Jacob L Glass, Justin Taylor, Aaron D Viny, Eytan M Stein, Bartlomiej Getta, Maria E Arcila, Qi Gao, Juliet Barker, Brian C Shaffer, Esperanza B Papadopoulos, Boglarka Gyurkocza, Miguel-Angel Perales, Omar Abdel-Wahab, Ross L Levine, Sergio A Giralt, Yanming Zhang, Wenbin Xiao, Nidhi Pai, Elli Papaemmanuil, Martin S Tallman, Mikhail Roshal, Aaron D Goldberg

Faculty, Staff and Student Publications

Measurable residual disease (MRD) is a powerful prognostic factor in acute myeloid leukemia (AML). However, pre-treatment molecular predictors of immunophenotypic MRD clearance remain unclear. We analyzed a dataset of 211 patients with pre-treatment next-generation sequencing who received induction chemotherapy and had MRD assessed by serial immunophenotypic monitoring after induction, subsequent therapy, and allogeneic stem cell transplant (allo-SCT). Induction chemotherapy led to MRD- remission, MRD+ remission, and persistent disease in 35%, 27%, and 38% of patients, respectively. With subsequent therapy, 34% of patients with MRD+ and 26% of patients with persistent disease converted to MRD-. Mutations in CEBPA, NRAS, KRAS, and …

Strengthening Deep-Learning Models For Intracranial Hemorrhage Detection: Strongly Annotated Computed Tomography Images And Model Ensembles, Dong-Wan Kang, Gi-Hun Park, Wi-Sun Ryu, Dawid Schellingerhout, Museong Kim, Chan-Young Park, Moon-Ku Han, Han-Gil Jeong, Dong-Eog Kim

Faculty, Staff and Student Publications

BACKGROUND AND PURPOSE: Multiple attempts at intracranial hemorrhage (ICH) detection using deep-learning techniques have been plagued by clinical failures. We aimed to compare the performance of a deep-learning algorithm for ICH detection trained on strongly and weakly annotated datasets, and to assess whether a weighted ensemble model that integrates separate models trained using datasets with different ICH improves performance.

METHODS: We used brain CT scans from the Radiological Society of North America (27,861 CT scans, 3,528 ICHs) and AI-Hub (53,045 CT scans, 7,013 ICHs) for training. DenseNet121, InceptionResNetV2, MobileNetV2, and VGG19 were trained on strongly and weakly annotated datasets and …

Radiation Therapy Can Be Safely Incorporated Into Pretransplantation Treatment Regimens For Patients With Multiple Myeloma, Ethan P Damron, Muzaffar H Qazilbash, Penny Q Fang, Susan Y Wu, Bouthaina S Dabaja, Chitra Hosing, Qaiser Bashir, Elizabeth J Shpall, Mark K Knafl, Hans C Lee, Elisabet E Manasanch, Krina Patel, Sheeba K Thomas, Robert Z Orlowski, Donna M Weber, Chelsea C Pinnix, Jillian R Gunther

Faculty, Staff and Student Publications

Primary treatment of multiple myeloma (MM) often involves systemic induction therapy (SIT) followed by autologous stem cell transplantation (ASCT). Radiation therapy (RT) is sometimes used for palliation; however, many practitioners avoid RT out of concern that future peripheral blood progenitor cell (PBPC) collection required for ASCT may be compromised. In this study, we retrospectively examined the possible effect of RT on PBPC collection. We reviewed the charts of 732 patients with MM treated with RT at our institution from 1999 to 2017, including patients who received RT prior to PBPC collection for planned ASCT. RT plans (both MM and non-MM …

Easy Nanostring Ncounter Data Analysis With The Nanotube, Caleb A Class, Caiden J Lukan, Christopher A Bristow, Kim-Anh Do

Faculty, Staff and Student Publications

Summary: The NanoTube is an open-source pipeline that simplifies the processing, quality control, normalization and analysis of NanoString nCounter gene expression data. It is implemented in an extensible R library, which performs a variety of gene expression analysis techniques and contains additional functions for integration with other R libraries performing advanced NanoString analysis techniques. Additionally, the NanoTube web application is available as a simple tool for researchers without programming expertise.

Availability and implementation: The NanoTube R package is available on Bioconductor under the GPL-3 license (https://www.bioconductor.org/packages/NanoTube/). The R-Shiny application can be downloaded at https://github.com/calebclass/Shiny-NanoTube, or a simplified …

C4b-Binding Protein Inhibits Particulate- And Crystalline-Induced Nlrp3 Inflammasome Activation, Damien Bierschenk, Nikolina Papac-Milicevic, Ian P Bresch, Valentina Kovacic, Serena Bettoni, Rick A Wetsel, Christoph J Binder, Anna M Blom, Ben C King

Faculty, Staff and Student Publications

Dysregulated NLRP3 inflammasome activation drives a wide variety of diseases, while endogenous inhibition of this pathway is poorly characterised. The serum protein C4b-binding protein (C4BP) is a well-established inhibitor of complement with emerging functions as an endogenously expressed inhibitor of the NLRP3 inflammasome signalling pathway. Here, we identified that C4BP purified from human plasma is an inhibitor of crystalline- (monosodium urate, MSU) and particulate-induced (silica) NLRP3 inflammasome activation. Using a C4BP mutant panel, we identified that C4BP bound these particles

Predictive Power Of Deep-Learning Segmentation Based Prognostication Model In Non-Small Cell Lung Cancer, Jordan C Gainey, Yusen He, Robert Zhu, Stephen S Baek, Xiaodong Wu, Bryan G Allen, Yusung Kim

Faculty, Staff and Student Publications

Purpose: The study aims to create a model to predict survival outcomes for non-small cell lung cancer (NSCLC) after treatment with stereotactic body radiotherapy (SBRT) using deep-learning segmentation based prognostication (DESEP).

Methods: The DESEP model was trained using imaging from 108 patients with NSCLC with various clinical stages and treatment histories. The model generated predictions based on unsupervised features learned by a deep-segmentation network from computed tomography imaging to categorize patients into high and low risk groups for overall survival (DESEP-predicted-OS), disease specific survival (DESEP-predicted-DSS), and local progression free survival (DESEP-predicted-LPFS). Serial assessments were also performed using auto-segmentation based volumetric …

Resveratrol Rescues Cutaneous Radiation-Induced Dna Damage Via A Novel Ampk/Sirt7/Hmgb1 Regulatory Axis, Yi Jin, Xingyuan Liu, Xiaoting Liang, Jiabin Liu, Jieyu Liu, Qianxin Lu, Bingyao Meng, Chunting Zhang, Minna Xu, Jian Guan, Li Ma, Liang Zhou

Faculty, Staff and Student Publications

Cutaneous radiation injury (CRI) interrupts the scheduled process of radiotherapy and even compromises the life quality of patients. However, the current clinical options for alleviating CRI are relatively limited. Resveratrol (RSV) has been shown to be a promising protective agent against CRI; yet the mechanisms of RSV enhancing radioresistance were not fully elucidated and limited its clinical application. In this study, we demonstrate RSV promotes cutaneous radioresistance mainly through SIRT7. During ionizing radiation (IR) treatment, RSV indirectly phosphorylates and activates SIRT7 through AMPK, which is critical for maintaining the genome stability of keratinocytes. Immunoprecipitation and mass spectrometry identified HMGB1 to …

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, Nanna M Sijtsema, 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 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, 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 …