Digital Commons Network^™

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 …

Association Of Hearing Loss And Tinnitus Symptoms With Health-Related Quality Of Life Among Long-Term Oropharyngeal Cancer Survivors, Puja Aggarwal, Marc-Elie Nader, Paul W Gidley, Raj Pratihar, Shirin Jivani, Adam S Garden, Frank E Mott, Ryan P Goepfert, Christopher Wallace Ogboe, Camille Charles, Clifton D Fuller, Stephen Y Lai, G Brandon Gunn, Erich M Sturgis, Ehab Y Hanna, Katherine A Hutcheson, Sanjay Shete

Faculty, Staff and Student Publications

BACKGROUND: This study investigated the association of hearing loss and tinnitus with overall health-related quality of life (HRQoL) among long-term oropharyngeal cancer (OPC) survivors.

METHODS: This study included OPC survivors treated between 2000 and 2013 and surveyed from September 2015 to July 2016. Hearing loss and tinnitus were measured by asking survivors to rate their "difficulty with hearing loss and/or ringing in the ears" from 0 (not present) to 10 (as bad as you can imagine). Hearing loss and tinnitus scores were categorized as follows: 0 for none, 1-4 for mild, and 5-10 for moderate to severe. The primary outcome …

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 …

Keeping Employees Safe During Health Crises: The Effects Of Media Exposure, Hr Practices, And Age, Shuqi Li, Henry R Young, Majid Ghorbani, Byron Y Lee, Daan Van Knippenberg, Russell E Johnson

Faculty, Staff and Student Publications

Occupational health and safety are critical in promoting the wellness of organizations and employees. The COVID-19 pandemic is one of the most life-threatening viruses encountered in recent history, providing a unique opportunity for research to examine factors that drive employee safety behavior. Drawing from terror management theory, we propose and test a moderated mediation model using data collected from employees working during a peak of the pandemic. We identify two sources of influence - one external (i.e., media exposure), and one internal (i.e., HR practices) to the organization - that shape employees' mortality salience and safety behaviors. We find that …

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 …

Predictive Modeling Using Shape Statistics For Interpretable And Robust Quality Assurance Of Automated Contours In Radiation Treatment Planning, Zachary T Wooten, Cenji Yu, Laurence E Court, Christine B Peterson

Faculty, Staff and Student Publications

Deep learning methods for image segmentation and contouring are gaining prominence as an automated approach for delineating anatomical structures in medical images during radiation treatment planning. These contours are used to guide radiotherapy treatment planning, so it is important that contouring errors are flagged before they are used for planning. This creates a need for effective quality assurance methods to enable the clinical use of automated contours in radiotherapy. We propose a novel method for contour quality assurance that requires only shape features, making it independent of the platform used to obtain the images. Our method uses a random forest …

Grid Cells, Border Cells, And Discrete Complex Analysis, Yuri Dabaghian

Faculty, Staff and Student Publications

We propose a mechanism enabling the appearance of border cells-neurons firing at the boundaries of the navigated enclosures. The approach is based on the recent discovery of discrete complex analysis on a triangular lattice, which allows constructing discrete epitomes of complex-analytic functions and making use of their inherent ability to attain maximal values at the boundaries of generic lattice domains. As it turns out, certain elements of the discrete-complex framework readily appear in the oscillatory models of grid cells. We demonstrate that these models can extend further, producing cells that increase their activity toward the frontiers of the navigated environments. …

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, Paola D Vermeer, John H Lee, Cullen M Taniguchi, 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 …

Population-Based Assessment Of The Burden Of Covid-19 Infection In African Countries: A First-Year Report Card And Public Health Implications, Osaro Mgbere, Ogbonna Collins Nwabuko, Olajumoke A Olateju, Omolola E Adepoju, Winston Liaw, Charles Darkoh, Ekere James Essien

Faculty, Staff and Student Publications

BACKGROUND: The COVID-19 pandemic constitutes a global health threat and poses a major burden on the African continent. We assessed the real-world burden of COVID-19 infection in African Union (AU) member states to determine the distributional patterns of epidemiological measures during the first 1 year of the pandemic.

METHODS: This retrospective cross-sectional study utilized COVID-19 data from publicly available data repositories of the African Center for Disease Control and Prevention and

RESULTS: A total of 3.21 million cases were reported during the 1-year period, with 2.6 million recoveries, 536,784 cases remaining active, and 77,486 deaths. Most countries (49.1%,

CONCLUSION: Understanding …

Small Molecule Inhibitor Of Tau Self-Association In A Mouse Model Of Tauopathy: A Preventive Study In P301l Tau Jnpl3 Mice, Eliot J Davidowitz, Patricia Lopez, Heidy Jimenez, Leslie Adrien, Peter Davies, James G Moe

Faculty, Staff and Student Publications

Advances in tau biology and the difficulties of amyloid-directed immunotherapeutics have heightened interest in tau as a target for small molecule drug discovery for neurodegenerative diseases. Here, we evaluated OLX-07010, a small molecule inhibitor of tau self-association, for the prevention of tau aggregation. The primary endpoint of the study was statistically significant reduction of insoluble tau aggregates in treated JNPL3 mice compared with Vehicle-control mice. Secondary endpoints were dose-dependent reduction of insoluble tau aggregates, reduction of phosphorylated tau, and reduction of soluble tau. This study was performed in JNPL3 mice, which are representative of inherited forms of 4-repeat tauopathies with …

Sparse Tree-Based Clustering Of Microbiome Data To Characterize Microbiome Heterogeneity In Pancreatic Cancer, Yushu Shi, Liangliang Zhang, Kim-Anh Do, Robert Jenq, Christine B Peterson

Faculty, Staff and Student Publications

There is a keen interest in characterizing variation in the microbiome across cancer patients, given increasing evidence of its important role in determining treatment outcomes. Here our goal is to discover subgroups of patients with similar microbiome profiles. We propose a novel unsupervised clustering approach in the Bayesian framework that innovates over existing model-based clustering approaches, such as the Dirichlet multinomial mixture model, in three key respects: we incorporate feature selection, learn the appropriate number of clusters from the data, and integrate information on the tree structure relating the observed features. We compare the performance of our proposed method to …

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 …

Molecular Predictors Of Immunophenotypic Measurable Residual Disease Clearance In Acute Myeloid Leukemia, Maximilian Stahl, Andriy Derkach, Noushin Farnoud, Jan Philipp Bewersdorf, Troy Robinson, Christopher Famulare, Christina Cho, Sean Devlin, 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 …

Development And Validation Of Early Death Risk Score Model For Emergency Status Prediction In Very Severe Aplastic Anemia, Xu Liu, Wenrui Yang, Li Zhang, Liping Jing, Lei Ye, Kang Zhou, Yuan Li, Jianping Li, Huihui Fan, Yang Yang, Youzhen Xiong, Xin Zhao, Fengkui Zhang

Faculty, Staff and Student Publications

This study developed and validated the Early Death Risk Score Model for early identification of emergency patients with very severe aplastic anemia (VSAA). All 377 patients with VSAA receiving first-line immunosuppressive therapy (IST) were categorized into training (n=252) and validation (n=125) cohorts. In the training cohort, age >24 years, absolute neutrophil count ≤0.015×109/L, serum ferritin >900ng/mL and times of fever before IST >1 time were significantly associated with early death. Covariates were assigned scores and categorized as: low (score 0-4), medium (score 5-7) and high (score ≥8) risk. Early death rate was significantly different between risk groups and the validation …

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 …

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 …

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, John M Buatti, Bryan G Allen, Brian J Smith, 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 …

Leveraging A Genetically-Informative Study Design To Explore Depression As A Risk Factor For Type 2 Diabetes: Rationale And Participant Characteristics Of The Mood And Immune Regulation In Twins Study, Briana Mezuk, Kristen Kelly, Erica Bennion, Jeannie B Concha

Faculty, Staff and Student Publications

Background: Comorbidity between depression and type 2 diabetes is thought to arise from the joint effects of psychological, behavioral, and biological processes. Studies of monozygotic twins may provide a unique opportunity for clarifying how these processes inter-relate. This paper describes the rationale, characteristics, and initial findings of a longitudinal co-twin study aimed at examining the biopsychosocial mechanisms linking depression and risk of diabetes in mid-life.

Methods: Participants in the Mood and Immune Regulation in Twins (MIRT) Study were recruited from the Mid-Atlantic Twin Registry. MIRT consisted of 94 individuals who do not have diabetes at baseline, representing 43 twin pairs …

Chd1, A Multifaceted Epigenetic Remodeler In Prostate Cancer, Haoyan Li, Loraine Gigi, Di Zhao

Faculty, Staff and Student Publications

Chromatin remodeling proteins contribute to DNA replication, transcription, repair, and recombination. The chromodomain helicase DNA-binding (CHD) family of remodelers plays crucial roles in embryonic development, hematopoiesis, and neurogenesis. As the founding member, CHD1 is capable of assembling nucleosomes, remodeling chromatin structure, and regulating gene transcription. Dysregulation of CHD1 at genetic, epigenetic, and post-translational levels is common in malignancies and other human diseases. Through interacting with different genetic alterations, CHD1 possesses the capabilities to exert oncogenic or tumor-suppressive functions in context-dependent manners. In this Review, we summarize the biochemical properties and dysregulation of CHD1 in cancer cells, and then discuss CHD1's …

Pseudohypoadrenalism, A Subclinical Cortisol Metabolism Disorder In Hyperuricemia, Ruixia Bao, Beibei Chen, Jujie Pan, Alexander Wang, Haiyang Yu, Qian Chen, Yi Zhang, Tao Wang

Faculty, Staff and Student Publications

Background: Hyperuricemia is a known risk factor of lipid metabolism disorder. However, the mechanisms have not been fully understood.

Methods: The serum samples from hyperuricemia subjects were used to analyze the correlation between serum uric acid and clinical characteristics. Hyperuricemia mice induced by potassium oxonate (PO) and adenine were used to explore glucocorticoid metabolism.

Results: In hyperuricemia patients, the levels of serum uric acid were positively correlated with the levels of γ-glutamyltransferase, associated with a cortisol metabolism disorder. In hyperuricemia state, the adrenal glands failed to respond to adrenocorticotropic hormone properly, leading to low cortisol, but not corticosterone production, and …

Estimating Dementia Risk In An African American Population Using The Dctclock, Marissa Ciesla, Jeff Pobst, Joyce Gomes-Osman, Melissa Lamar, Lisa L Barnes, Russell Banks, Ali Jannati, David Libon, Rodney Swenson, Sean Tobyne, David Bates, John Showalter, Alvaro Pascual-Leone

Faculty, Staff and Students Publications

The prevalence of Alzheimer's disease (AD) and related dementias (ADRD) is increasing. African Americans are twice as likely to develop dementia than other ethnic populations. Traditional cognitive screening solutions lack the sensitivity to independently identify individuals at risk for cognitive decline. The DCTclock is a 3-min AI-enabled adaptation of the well-established clock drawing test. The DCTclock can estimate dementia risk for both general cognitive impairment and the presence of AD pathology. Here we performed a retrospective analysis to assess the performance of the DCTclock to estimate future conversion to ADRD in African American participants from the Rush Alzheimer's Disease Research …

A Critical Look At Modern Graduate Education Through The Lens Of Ancient Textbooks, Oliver Glanz

Faculty Publications

No abstract provided.

James White Library Celebrates Its 85th Anniversary, Margaret Adeogun

Faculty Publications

No abstract provided.

Doktrine O Svetištu I Spasenju U Razvoju Crkve Adventista Sedmog Dana, Denis Fortin

Faculty Publications

The Seventh-day Adventist Church is no longer a young denomination within the large family of Christian churches. It has been one hundred and sixty years since the organization of our General Conference and many things have changed since the time of our pioneers. We have grown from a “little flock” of a few hundred believers in the northeastern part of the United States to an international community of close to twenty-five million members. Along with the numerical growth we have also experienced many doctrinal developments in our teachings. Our doctrines of the sanctuary and of salvation have changed since the …

Economic Thought: A Biblical Perspective, Williams Kwasi Peprah, Lucile Sabas, Quentin Sahly, Delynne Shepard

Faculty Publications

This study joins the debate about whether capitalism or socialism best shows how the Bible sees economic interactions between people and, by extension, provides insights into how a Christian should live. Capitalism is based on the private ownership and control of resources and profit, which spread with the migration process of the Protestants. Socialism is based on the idea that the group or community should own the means of production and distribution to benefit everyone equally. This paper argues that biblical principles point neither to socialism nor capitalism as the appropriate economic framework for economic interactions and the organization of …

Challenges Of Depression: Biblical Background And Impact On The Dynamics Of Family Relationships, Anna Galeniece, Eriks Galenieks

Faculty Publications

Today we are witnessing a global epidemic of rapidly spreading mental health problems among all age groups. However, a growing mental health crisis among youth is of particular concern. According to the World Health Organization, “1 in every eight people in the world live with a mental disorder.”1 The informative data are more than impressive. For many reasons, the accurate picture of various mental health disorders is much more widespread than the latest accessible information indicates. The fundamental question revolves not only around the mental health challenges of the afflicted but especially around its practical aspect: How can ordinary people …

Editorial: Prion-Like Transmission Of Pathogenic Proteins In Neurodegenerative Diseases: Structural And Molecular Bases, Victor Banerjee, Fei Wang, Daniela Sarnataro, Claudio Soto

Faculty, Staff and Student Publications

No abstract provided.

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, Jing Wang

Faculty, Staff and Student Publications

No abstract provided.

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 …

Hras Mutations Define A Distinct Subgroup In Head And Neck Squamous Cell Carcinoma, Niamh Coleman, Kathrina L Marcelo, Julia F Hopkins, Nusrat Israr Khan, Robyn Du, Lingzhi Hong, Edward Park, Binaifer Balsara, Mollie Leoni, Curtis Pickering, Jeffrey Myers, John Heymach, Lee A Albacker, David Hong, Maura Gillison, Xiuning Le

Faculty, Staff and Student Publications

Purpose: In head and neck squamous cell carcinoma (HNSCC), HRAS mutation is a new actionable oncogene driver. We aimed to evaluate HRAS mutational variants, comutation profile, and survival outcomes of this molecularly defined population.

Methods: We leveraged four deidentified patient data sets with HRAS-mutant HNSCC, MD Anderson Cancer Center, Kura Oncology, Inc trial, Foundation Medicine, and American Association for Cancer Research GENIE v.12. Patient demographic information and clinical courses were extracted, when available, in addition to HRAS mutation type and co-occurring mutations. Survival outcomes were analyzed (Kaplan-Meier method).

Results: Two hundred forty-nine patients with HRAS-mutant HNSCC were identified …