Digital Commons Network^™

Short-Term Outcomes Of A Healthy Relationship Intervention For The Prevention Of Sexual Harassment And Sexual Assault In The Us Military: Pilot Pretest-Postest Study, Belinda Hernandez, Ross Shegog, Christine Markham, Susan Emery, Elizabeth Baumler, Laura Thormaehlen, Rejane Andina Teixeira, Yanneth Rivera, Olive Pertuit, Chelsey Kanipe, Iraina Witherspoon, Janis Doss, Victor Jones, Melissa Peskin

Faculty, Staff and Student Publications

BACKGROUND: Sexual harassment (SH) and sexual assault (SA) are serious public health problems among US service members. Few SH and SA prevention interventions have been developed exclusively for the military. Code of Respect (X-CoRe) is an innovative web-based, multilevel, SA and SH intervention designed exclusively for the active-duty Air Force. The program's goal is to increase Airmen's knowledge and skills to build and maintain respectful relationships, ultimately reducing SH and SA and enhancing Airmen's overall well-being and mission readiness.

OBJECTIVE: This pilot study aimed to assess the short-term psychosocial impact (eg, knowledge, attitudes, and self-efficacy) of the web-based component of …

Dna-Binding Proteins From Mbd Through Zf To Ben: Recognition Of Cytosine Methylation Status By One Arginine With Two Conformations, Xing Zhang, Robert M Blumenthal, Xiaodong Cheng

Faculty, Staff and Student Publications

Maintenance methylation, of palindromic CpG dinucleotides at DNA replication forks, is crucial for the faithful mitotic inheritance of genomic 5-methylcytosine (5mC) methylation patterns. MBD proteins use two arginine residues to recognize symmetrically-positioned methyl groups in fully-methylated 5mCpG/5mCpG and 5mCpA/TpG dinucleotides. In contrast, C2H2 zinc finger (ZF) proteins recognize CpG and CpA, whether methylated or not, within longer specific sequences in a site- and strand-specific manner. Unmethylated CpG sites, often within CpG island (CGI) promoters, need protection by protein factors to maintain their hypomethylated status. Members of the BEN domain proteins bind CGCG or CACG elements within CGIs to regulate gene …

Developmental-Status-Aware Transcriptional Decomposition Establishes A Cell State Panorama Of Human Cancers, Yikai Luo, Han Liang

Faculty, Staff and Student Publications

Background: Cancer cells evolve under unique functional adaptations that unlock transcriptional programs embedded in adult stem and progenitor-like cells for progression, metastasis, and therapeutic resistance. However, it remains challenging to quantify the stemness-aware cell state of a tumor based on its gene expression profile.

Methods: We develop a developmental-status-aware transcriptional decomposition strategy using single-cell RNA-sequencing-derived tissue-specific fetal and adult cell signatures as anchors. We apply our method to various biological contexts, including developing human organs, adult human tissues, experimentally induced differentiation cultures, and bulk human tumors, to benchmark its performance and to reveal novel biology of entangled developmental signaling in …

Prenatal Opioid And Alcohol Exposures: Association With Altered Placental Serotonin Transporter Structure And/Or Expression, Nune Darbinian, Nana Merabova, Gabriel Tatevosian, Sandra Adele, Armine Darbinyan, Mary F Morrison, C Lindsay Devane, Sammanda Ramamoorthy, Laura Goetzl, Michael E Selzer

Faculty, Staff and Student Publications

Fetal exposures to many drugs of abuse, e.g., opioids and alcohol (EtOH), are associated with adverse neurodevelopmental problems in early childhood, including abnormalities in activity of the serotonin (5HT) transporter (SERT), which transports 5HT across the placenta. Little is known about the effects of these drugs on SERT expression. Pregnant women who used EtOH or opioids were compared to gestational age-matched controls using a structured questionnaire to determine prenatal substance exposure. Following elective pregnancy termination, placental membranous vesicles and exosomes were prepared from first and second trimester human placentas. Changes in EtOH- or opioid-exposed placental SERT expression and modifications were …

Ten Challenges And Opportunities In Computational Immuno-Oncology, Riyue Bao, Alan Hutson, Anant Madabhushi, Vanessa D Jonsson, Spencer R Rosario, Jill S Barnholtz-Sloan, Elana J Fertig, Himangi Marathe, Lyndsay Harris, Jennifer Altreuter, Qingrong Chen, James Dignam, Andrew J Gentles, Edgar Gonzalez-Kozlova, Sacha Gnjatic, Erika Kim, Mark Long, Martin Morgan, Eytan Ruppin, David Van Valen, Hong Zhang, Natalie Vokes, Daoud Meerzaman, Song Liu, Eliezer M Van Allen, Yi Xing

Faculty, Staff and Student Publications

Immuno-oncology has transformed the treatment of cancer, with several immunotherapies becoming the standard treatment across histologies. Despite these advancements, the majority of patients do not experience durable clinical benefits, highlighting the imperative for ongoing advancement in immuno-oncology. Computational immuno-oncology emerges as a forefront discipline that draws on biomedical data science and intersects with oncology, immunology, and clinical research, with the overarching goal to accelerate the development of effective and safe immuno-oncology treatments from the laboratory to the clinic. In this review, we outline 10 critical challenges and opportunities in computational immuno-oncology, emphasizing the importance of robust computational strategies and interdisciplinary …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Childhood Neglect Is Associated With Alterations In Neural Prediction Error Signaling And The Response To Novelty, Joseph Aloi, Kathleen I Crum, Karina S Blair, Ru Zhang, Johannah Bashford-Largo, Sahil Bajaj, Soonjo Hwang, Bruno B Averbeck, Nim Tottenham, Matthew Dobbertin, R James R Blair

Faculty, Staff and Student Publications

Background: One in eight children experience early life stress (ELS), which increases risk for psychopathology. ELS, particularly neglect, has been associated with reduced responsivity to reward. However, little work has investigated the computational specifics of this disrupted reward response - particularly with respect to the neural response to Reward Prediction Errors (RPE) - a critical signal for successful instrumental learning - and the extent to which they are augmented to novel stimuli. The goal of the current study was to investigate the associations of abuse and neglect, and neural representation of RPE to novel and non-novel stimuli.

Methods: One hundred …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Phenormgpt: A Framework For Extraction And Normalization Of Key Medical Findings, Ekin Soysal, Kirk Roberts

Faculty, Staff and Student Publications

This manuscript presents PheNormGPT, a framework for extraction and normalization of key findings in clinical text. PheNormGPT relies on an innovative approach, leveraging large language models to extract key findings and phenotypic data in unstructured clinical text and map them to Human Phenotype Ontology concepts. It utilizes OpenAI's GPT-3.5 Turbo and GPT-4 models with fine-tuning and few-shot learning strategies, including a novel few-shot learning strategy for custom-tailored few-shot example selection per request. PheNormGPT was evaluated in the BioCreative VIII Track 3: Genetic Phenotype Extraction from Dysmorphology Physical Examination Entries shared task. PheNormGPT achieved an F1 score of 0.82 for standard …

Neuregulin1 Nuclear Signaling Influences Adult Neurogenesis And Regulates A Schizophrenia Susceptibility Gene Network Within The Mouse Dentate Gyrus, Prithviraj Rajebhosale, Alice Jone, Kory R Johnson, Rohan Hofland, Camille Palarpalar, Samara Khan, Lorna W Role, David A Talmage

Faculty, Staff and Student Publications

Neuregulin1 (Nrg1) signaling is critical for neuronal development and function from fate specification to synaptic plasticity. Type III Nrg1 is a synaptic protein which engages in bidirectional signaling with its receptor ErbB4. Forward signaling engages ErbB4 phosphorylation, whereas back signaling engages two known mechanisms: (1) local axonal PI3K-AKT signaling and (2) cleavage by γ-secretase resulting in cytosolic release of the intracellular domain (ICD), which can traffic to the nucleus (Bao et al., 2003; Hancock et al., 2008). To dissect the contribution of these alternate signaling strategies to neuronal development, we generated a transgenic mouse with a missense mutation (V

Unmasking Neuroendocrine Prostate Cancer With A Machine Learning-Driven Seven-Gene Stemness Signature That Predicts Progression, Agustina Sabater, Pablo Sanchis, Rocio Seniuk, Gaston Pascual, Nicolas Anselmino, Daniel F Alonso, Federico Cayol, Elba Vazquez, Marcelo Marti, Javier Cotignola, Ayelen Toro, Estefania Labanca, Juan Bizzotto, Geraldine Gueron

Faculty, Staff and Student Publications

Prostate cancer (PCa) poses a significant global health challenge, particularly due to its progression into aggressive forms like neuroendocrine prostate cancer (NEPC). This study developed and validated a stemness-associated gene signature using advanced machine learning techniques, including Random Forest and Lasso regression, applied to large-scale transcriptomic datasets. The resulting seven-gene signature (KMT5C, DPP4, TYMS, CDC25B, IRF5, MEN1, and DNMT3B) was validated across independent cohorts and patient-derived xenograft (PDX) models. This signature demonstrated strong prognostic value for progression-free, disease-free, relapse-free, metastasis-free, and overall survival. Importantly, the signature not only identified specific NEPC subtypes, …

Comments On The Paper “Data-Driven Gating (Ddg)-Based Motion Match For Improved Ctac Registration Ejnmmi Physics 2024; 11(1):42”, Tinsu Pan

Faculty, Staff and Student Publications

Misregistration between CT and PET in PET/CT is mainly caused by respiratory motion or irregular respiration during the CT scan in PET/CT. Other than repeat CT, repeat PET/CT, or data-driven gated (DDG) CT, there is no practical approach to mitigate the misregistration artifacts and subsequent CT attenuation correction (CTAC) of the PET data. DDG PET derives a respiratory motion model based on the multiple phases of PET images without hardware gating and it allows for a potential correction of the misregistration artifacts based on the respiratory motion model. The purpose of this commentary was to compare the recent two publications …

Perioperative Chemoimmunotherapy Induces Strong Immune Responses And Long-Term Survival In Patients With Hla Class I-Deficient Non-Small Cell Lung Cancer, Marta Molina-Alejandre, Francisco Perea, Virginia Calvo, Cristina Martinez-Toledo, Ernest Nadal, Belén Sierra-Rodero, Marta Casarrubios, Joaquín Casal-Rubio, Alex Martinez-Martí, Amelia Insa, Bartomeu Massuti, Santiago Viteri, Isidoro Barneto Aranda, Delvys Rodriguez-Abreu, Javier De Castro, Joaquín Mosquera Martínez, Manuel Cobo, Ignacio I Wistuba, Edwin R Parra, Javier Martín-López, Diego Megías, Rafael Muñoz-Viana, Federico Garrido, Natalia Aptsiauri, Francisco Ruiz-Cabello, Mariano Provencio, Alberto Cruz-Bermúdez

Faculty, Staff and Student Publications

BACKGROUND: Loss of human leukocyte antigen (HLA) class I expression and loss of heterozygosity (LOH) are common events implicated in the primary resistance of non-small cell lung cancer (NSCLC) to immunotherapy. However, there is no data on perioperative chemoimmunotherapy (ChIO) efficacy or response mechanisms in the context of HLA class I defects.

METHODS: Baseline HLA class I tumor status (HLA-deficient (HLA-DEF) or HLA-proficient (HLA-PRO)) was determined by DNA LOH combined with immunohistochemistry for protein levels in tissue of 24 patients with NSCLC treated with perioperative nivolumab plus chemotherapy from NADIM trial (NCT03081689). We integrated HLA tumor status with molecular data …

Norovirus Acute Gastroenteritis Amongst Us And European Travellers To Areas Of Moderate To High Risk Of Travellers’ Diarrhoea: A Prospective Cohort Study, Martin Alberer, Christine L Moe, Christoph Hatz, Kerstin Kling, Amy E Kirby, Lisa Lindsay, Hans D Nothdurft, Margarita Riera-Montes, Robert Steffen, Thomas Verstraeten, Henry M Wu, Herbert L Dupont

Faculty, Staff and Student Publications

BACKGROUND: Acute gastroenteritis (AGE) is a major medical condition for travellers worldwide, particularly travellers to low- and middle-income countries. Norovirus (NoV) is the most common cause of viral AGE in older children and adults, but data on prevalence and impact amongst travellers is limited.

METHODS: Prospective, multi-site, observational cohort study conducted 2015-2017, amongst adult international travellers from the US and Europe to areas of moderate to high risk of travel-acquired AGE. Participants provided self-collected pre-travel stool samples and self-reported AGE symptoms whilst travelling. Post-travel stool samples were requested from symptomatic subjects and a sample of asymptomatic travellers within 14 days …

A Scoping Review Of Patient Safety Checklists In Dentistry, K Zouaidi, T W Miner, M F Walji, E Kalenderian, D B Rindal, K J Suda

Faculty, Staff and Student Publications

Objectives: Not much is known about safety checklists use in dentistry. We aim to examine, assess, and provide a comprehensive understanding of the current knowledge concerning the use of checklists to improve patient safety in dentistry.

Methods: We conducted a comprehensive literature search using Medline and Embase for studies that use or describe the development of dental patient safety checklists. All study designs were included for citations published through December 2023.

Results: Following abstract and full-text screening, 27 studies remained for data extraction and analysis. Oral surgery emerged as the main dental specialty where the utilization and evaluation of checklists …

Structural Basis Of The Human Transcriptional Mediator Regulated By Its Dissociable Kinase Module, Ti-Chun Chao, Shin-Fu Chen, Hee Jong Kim, Hui-Chi Tang, Hsiang-Ching Tseng, An Xu, Leon Palao, Subash Khadka, Tao Li, Mo-Fan Huang, Dung-Fang Lee, Kenji Murakami, Thomas G Boyer, Kuang-Lei Tsai

Faculty, Staff and Student Publications

The eukaryotic transcriptional Mediator comprises a large core (cMED) and a dissociable CDK8 kinase module (CKM). cMED recruits RNA polymerase II (RNA Pol II) and promotes pre-initiation complex formation in a manner repressed by the CKM through mechanisms presently unknown. Herein, we report cryoelectron microscopy structures of the complete human Mediator and its CKM. The CKM binds to multiple regions on cMED through both MED12 and MED13, including a large intrinsically disordered region (IDR) in the latter. MED12 and MED13 together anchor the CKM to the cMED hook, positioning CDK8 downstream and proximal to the transcription start site. Notably, the …

Safety Of Kidney Transplantation From Donors With Hiv, Christine M Durand, Allan Massie, Sander Florman, Tao Liang, Meenakshi M Rana, Rachel Friedman-Moraco, Alexander Gilbert, Peter Stock, Sapna A Mehta, Shikha Mehta, Valentina Stosor, Marcus R Pereira, Michele I Morris, Jonathan Hand, Saima Aslam, Maricar Malinis, Ghady Haidar, Catherine B Small, Carlos A Q Santos, Joanna Schaenman, John Baddley, David Wojciechowski, Emily A Blumberg, Karthik Ranganna, Oluwafisayo Adebiyi, Nahel Elias, Jose A Castillo-Lugo, Emmanouil Giorgakis, Senu Apewokin, Diane Brown, Darin Ostrander, Yolanda Eby, Niraj Desai, Fizza Naqvi, Serena Bagnasco, Natasha Watson, Erica Brittain, Jonah Odim, Andrew D Redd, Aaron A R Tobian, Dorry L Segev

Faculty, Staff and Student Publications

Background: Kidney transplantation from donors with human immunodeficiency virus (HIV) to recipients with HIV is an emerging practice. It has been performed since 2016 under the U.S. congressional HIV Organ Policy Equity Act and is currently approved for research only. The Department of Health and Human Services is considering expanding the procedure to clinical practice, but data are limited to small case series that did not include donors without HIV as controls.

Methods: In an observational study conducted at 26 U.S. centers, we compared transplantation of kidneys from deceased donors with HIV and donors without HIV to recipients with HIV. …

Bridging Big Data In The Enigma Consortium To Combine Non-Equivalent Cognitive Measures, Eamonn Kennedy, Shashank Vadlamani, Hannah M Lindsey, Pui-Wa Lei, Mary Jo-Pugh, Paul M Thompson, David F Tate, Frank G Hillary, Emily L Dennis, Elisabeth A Wilde, Enigma Clinical Endpoints Working Group Collaborators

Faculty, Staff and Student Publications

Investigators in neuroscience have turned to Big Data to address replication and reliability issues by increasing sample size. These efforts unveil new questions about how to integrate data across distinct sources and instruments. The goal of this study was to link scores across common auditory verbal learning tasks (AVLTs). This international secondary analysis aggregated multisite raw data for AVLTs across 53 studies totaling 10,505 individuals. Using the ComBat-GAM algorithm, we isolated and removed the component of memory scores associated with site effects while preserving instrumental effects. After adjustment, a continuous item response theory model used multiple memory items of varying …

Development And Validation Of A Machine Learning Model To Predict Myocardial Blood Flow And Clinical Outcomes From Patients’ Electrocardiogram, Fares Alahdab, Maliazurina Binti Saad, Ahmed Ibrahim Ahmed, Qasem Al Tashi, Muhammad Aminu, Yushui Han, Jonathan B Moody, Venkatesh L Murthy, Jia Wu, Mouaz H Al-Mallah

Faculty, Staff and Student Publications

We develop a machine learning (ML) model using electrocardiography (ECG) to predict myocardial blood flow reserve (MFR) and assess its prognostic value for major adverse cardiovascular events (MACEs). Using 3,639 ECG-positron emission tomography (PET) and 17,649 ECG-single-photon emission computed tomography (SPECT) data pairs, the ML model is trained with a swarm intelligence approach and support vector regression (SVR). The model achieves a receiver-operator curve (ROC) area under the curve (AUC) of 0.83, with a sensitivity and specificity of 0.75. An ECG-MFR value below 2 is significantly associated with MACE, with hazard ratios (HRs) of 3.85 and 3.70 in the discovery …

Yap1 Status Defines Two Intrinsic Subtypes Of Lcnec With Distinct Molecular Features And Therapeutic Vulnerabilities, C Allison Stewart, Lixia Diao, Yuanxin Xi, Runsheng Wang, Kavya Ramkumar, Alejandra G Serrano, Azusa Tanimoto, B Leticia Rodriguez, Benjamin B Morris, Li Shen, Bingnan Zhang, Yan Yang, Samera H Hamad, Robert J Cardnell, Alberto Duarte, Moushumi Sahu, Veronica Y Novegil, Bernard E Weissman, Michael Frumovitz, Neda Kalhor, Luisa Solis Soto, Pedro Da Rocha, Natalie Vokes, Don L Gibbons, Jing Wang, John V Heymach, Bonnie Glisson, Lauren Averett Byers, Carl M Gay

Faculty, Staff and Student Publications

Purpose: Large cell neuroendocrine carcinoma (LCNEC) is a high-grade neuroendocrine malignancy that, like small cell lung cancer (SCLC), is associated with the absence of druggable oncogenic drivers and dismal prognosis. In contrast to SCLC, however, there is little evidence to guide optimal treatment strategies, which are often adapted from SCLC and non-small cell lung cancer approaches.

Experimental design: To better define the biology of LCNEC, we analyzed cell line and patient genomic data and performed IHC and single-cell RNA sequencing of core needle biopsies from patients with LCNEC and preclinical models.

Results: In this study, we demonstrate that the presence …

Accurate Identification Of Locally Aneuploid Cells By Incorporating Cytogenetic Information In Single Cell Data Analysis, Ziyi Li, Ruoxing Li, Irene Ganan-Gomez, Hussein A Abbas, Guillermo Garcia-Manero, Wei Sun

Faculty, Staff and Student Publications

Single-cell RNA sequencing is a powerful tool to investigate the cellular makeup of tumor samples. However, due to the sparse data and the complex tumor microenvironment, it can be challenging to identify neoplastic cells that play important roles in tumor growth and disease progression. This is especially relevant for blood cancers, where neoplastic cells may be highly similar to normal cells. To address this challenge, we have developed partCNV and partCNVH, two methods for rapid and accurate detection of aneuploid cells with local copy number deletion or amplification. PartCNV uses an expectation-maximization (EM) algorithm with mixtures of Poisson distributions and …

Biochemical And Structural Insights Into A 5′ To 3′ Rna Ligase Reveal A Potential Role In Trna Ligation, Yingjie Hu, Victor A Lopez, Hengyi Xu, James P Pfister, Bing Song, Kelly A Servage, Masahiro Sakurai, Benjamin T Jones, Joshua T Mendell, Tao Wang, Jun Wu, Alan M Lambowitz, Diana R Tomchick, Krzysztof Pawłowski, Vincent S Tagliabracci

Faculty, Staff and Student Publications

ATP-grasp superfamily enzymes contain a hand-like ATP-binding fold and catalyze a variety of reactions using a similar catalytic mechanism. More than 30 protein families are categorized in this superfamily, and they are involved in a plethora of cellular processes and human diseases. Here, we identify C12orf29 (RLIG1) as an atypical ATP-grasp enzyme that ligates RNA. Human RLIG1 and its homologs autoadenylate on an active site Lys residue as part of a reaction intermediate that specifically ligates RNA halves containing a 5’-phosphate and a 3’-hydroxyl. RLIG1 binds tRNA in cells and can ligate tRNA within the anticodon loop in vitro. Transcriptomic …

Proportional Hazards Violations In Phase Iii Cancer Clinical Trials: A Potential Source Of Trial Misinterpretation, Timothy A Lin, Zachary R Mccaw, Alex Koong, Christine Lin, Joseph Abi Jaoude, Roshal Patel, Ramez Kouzy, Molly B El Alam, Alexander D Sherry, Sonal S Noticewala, Clifton D Fuller, Charles R Thomas, Ryan Sun, J Jack Lee, Ruitao Lin, Ying Yuan, Yu Shyr, Tomer Meirson, Ethan B Ludmir

Faculty, Staff and Student Publications

Purpose: Survival analyses of novel agents with long-term responders often exhibit differential hazard rates over time. Such proportional hazards violations (PHV) may reduce the power of the log-rank test and lead to misinterpretation of trial results. We aimed to characterize the incidence and study attributes associated with PHVs in phase III oncology trials and assess the utility of restricted mean survival time and maximum combination test as additional analyses.

Experimental design: Clinicaltrials.gov and PubMed were searched to identify two-arm, randomized, phase III superiority-design cancer trials with time-to-event primary endpoints and published results through 2020. Patient-level data were reconstructed from published …

Bi-Directional Allosteric Pathway In Nmda Receptor Activation And Modulation, Paula A Bender, Subhajit Chakraborty, Ryan J Durham, Vladimir Berka, Elisa Carrillo, Vasanthi Jayaraman

Faculty, Staff and Student Publications

N-methyl-D-aspartate (NMDA) receptors are ionotropic glutamate receptors involved in learning and memory. NMDA receptors primarily comprise two GluN1 and two GluN2 subunits. The GluN2 subunit dictates biophysical receptor properties, including the extent of receptor activation and desensitization. GluN2A- and GluN2D-containing receptors represent two functional extremes. To uncover the conformational basis of their functional divergence, we utilize single-molecule fluorescence resonance energy transfer to probe the extracellular domains of these receptor subtypes under resting and ligand-bound conditions. We find that the conformational profile of the GluN2 amino-terminal domain correlates with the disparate functions of GluN2A- and GluN2D-containing receptors. Changes at the pre-transmembrane …

Pain After Licorice Or Sugar-Water Gargling In Patients Recovering From Oropharyngeal Surgery-A Randomized, Double-Blind Trial, Marita Windpassinger, Michal Prusak, Jana Gemeiner, Olga Plattner, Stefan Janik, Gerold Besser, Wolfgang Gstoettner, Pu Xuan, Daniel I Sessler, Kurt Ruetzler

Faculty, Staff and Student Publications

Background: Glycyrrhiza glabrata (licorice) is used in traditional medicine and herbal remedies and reduces sore throats consequent to intubation, but whether it is protective for more intense pain after oropharyngeal surgery remains unclear. We thus tested the joint hypothesis that gargling with licorice, which has anti-inflammatory and antioxidant properties, reduces postoperative pain and morphine consumption.

Methods: We enrolled patients having elective oropharyngeal surgery. Participants were randomly allocated to gargle with either 1 g licorice or a sugar placebo before and for up to three days after surgery. A numerical rating scale (NRS) for pain along with morphine consumption was evaluated …