Medical Specialties Commons^™

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 …

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 …

Pclaf-Dream Drives Alveolar Cell Plasticity For Lung Regeneration, Bongjun Kim, Yuanjian Huang, Kyung-Pil Ko, Shengzhe Zhang, Gengyi Zou, Jie Zhang, Moon Jong Kim, Danielle Little, Lisandra Vila Ellis, Margherita Paschini, Sohee Jun, Kwon-Sik Park, Jichao Chen, Carla Kim, Jae-Il Park

Faculty, Staff and Student Publications

Cell plasticity, changes in cell fate, is crucial for tissue regeneration. In the lung, failure of regeneration leads to diseases, including fibrosis. However, the mechanisms governing alveolar cell plasticity during lung repair remain elusive. We previously showed that PCLAF remodels the DREAM complex, shifting the balance from cell quiescence towards cell proliferation. Here, we find that PCLAF expression is specific to proliferating lung progenitor cells, along with the DREAM target genes transactivated by lung injury. Genetic ablation of Pclaf impairs AT1 cell repopulation from AT2 cells, leading to lung fibrosis. Mechanistically, the PCLAF-DREAM complex transactivates CLIC4, triggering TGF-β signaling activation, …

Identification Of Allele-Specific Kiv-2 Repeats And Impact On Lp(A) Measurements For Cardiovascular Disease Risk, Sairam Behera, Jonathan R Belyeu, Xiao Chen, Luis F Paulin, Ngoc Quynh H Nguyen, Emma Newman, Medhat Mahmoud, Vipin K Menon, Qibin Qi, Parag Joshi, Santica Marcovina, Massimiliano Rossi, Eric Roller, James Han, Vitor Onuchic, Christy L Avery, Christie M Ballantyne, Carlos J Rodriguez, Robert C Kaplan, Donna M Muzny, Ginger A Metcalf, Richard A Gibbs, Bing Yu, Eric Boerwinkle, Michael A Eberle, Fritz J Sedlazeck

Faculty, Staff and Students Publications

The abundance of Lp(a) protein holds significant implications for the risk of cardiovascular disease (CVD), which is directly impacted by the copy number (CN) of KIV-2, a 5.5 kbp sub-region. KIV-2 is highly polymorphic in the population and accurate analysis is challenging. In this study, we present the DRAGEN KIV-2 CN caller, which utilizes short reads. Data across 166 WGS show that the caller has high accuracy, compared to optical mapping and can further phase approximately 50% of the samples. We compared KIV-2 CN numbers to 24 previously postulated KIV-2 relevant SNVs, revealing that many are ineffective predictors of KIV-2 …

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

Therapeutic Approaches To Modulate The Immune Microenvironment In Gliomas, Andreas Sarantopoulos, Chibawanye Ene, Elisa Aquilanti

Faculty, Staff and Student Publications

Immunomodulatory therapies, including immune checkpoint inhibitors, have drastically changed outcomes for certain cancer types over the last decade. Gliomas are among the cancers that have seem limited benefit from these agents, with most trials yielding negative results. The unique composition of the glioma immune microenvironment is among the culprits for this lack of efficacy. In recent years, several efforts have been made to improve understanding of the glioma immune microenvironment, aiming to pave the way for novel therapeutic interventions. In this review, we discuss some of the main components of the glioma immune microenvironment, including macrophages, myeloid-derived suppressor cells, neutrophils …

Impact Of Select Actionable Genomic Alterations On Efficacy Of Neoadjuvant Immunotherapy In Resectable Non-Small Cell Lung Cancer, Nicolas Zhou, Cheuk H Leung, William N William, Annikka Weissferdt, Apar Pataer, Myrna C B Godoy, Brett W Carter, Frank V Fossella, Anne S Tsao, George R Blumenschein, Xiuning Le, Jianjun Zhang, Ferdinandos Skoulidis, Jonathan M Kurie, Mehmet Altan, Charles Lu, Bonnie S Glisson, Lauren A Byers, Yasir Y Elamin, Reza J Mehran, David C Rice, Garrett L Walsh, Wayne L Hofstetter, Jack A Roth, Hai T Tran, Jia Wu, Luisa M Solis Soto, Humam Kadara, Stephen G Swisher, Ara A Vaporciyan, Don L Gibbons, Heather Y Lin, J Jack Lee, John V Heymach, Marcelo V Negrao, Boris Sepesi, Tina Cascone

Faculty, Staff and Student Publications

Background: Neoadjuvant immune checkpoint inhibitors (ICIs) have improved survival outcomes compared with chemotherapy in resectable non-small cell lung cancer (NSCLC). However, the impact of actionable genomic alterations (AGAs) on the efficacy of neoadjuvant ICIs remains unclear. We report the influence of AGAs on treatment failure (TF) in patients with resectable NSCLC treated with neoadjuvant ICIs.

Methods: Tumor molecular profiles were obtained from patients with stage I-IIIA resectable NSCLC (American Joint Committee on Cancer seventh edition) treated with either neoadjuvant nivolumab (N, n=23) or nivolumab+ipilimumab (NI, n=21) followed by surgery in a previously reported phase-2 randomized study (NCT03158129). TF …

The Dleu2/Mir-15a/Mir-16-1 Cluster Shapes The Immune Microenvironment Of Chronic Lymphocytic Leukemia, Ronghua Zhang, Priyanka Khare, Priyanka Banerjee, Cristina Ivan, Sarah Schneider, Federica Barbaglio, Karen Clise-Dwyer, Vanessa Behrana Jensen, Erika Thompson, Marisela Mendoza, Nicholas Chiorazzi, Shih-Shih Chen, Xiao-Jie Joy Yan, Nitin Jain, Paolo Ghia, Federico Caligaris-Cappio, Rima Mendonsa, Sashi Kasimsetty, Ryan Swoboda, Recep Bayraktar, William Wierda, Varsha Gandhi, George A Calin, Michael J Keating, Maria Teresa Sabrina Bertilaccio

Faculty, Staff and Student Publications

The development and progression of chronic lymphocytic leukemia (CLL) depend on genetic abnormalities and on the immunosuppressive microenvironment. We have explored the possibility that genetic drivers might be responsible for the immune cell dysregulation that shapes the protumor microenvironment. We performed a transcriptome analysis of coding and non-coding RNAs (ncRNAs) during leukemia progression in the Rag2-/-γc-/- MEC1-based xenotransplantation model. The DLEU2/miR-16 locus was found downmodulated in monocytes/macrophages of leukemic mice. To validate the role of this cluster in the tumor immune microenvironment, we generated a mouse model that simultaneously mimics the overexpression of hTCL1 and the germline deletion of the …

Native Mass Spectrometry Of Membrane Protein-Lipid Interactions In Different Detergent Environments, Smriti Kumar, Lauren Stover, Lie Wang, Hanieh Bahramimoghaddam, Ming Zhou, David H Russell, Arthur Laganowsky

Faculty, Staff and Students Publications

Native mass spectrometry (MS) reveals the role of specific lipids in modulating membrane protein structure and function. Membrane proteins solubilized in detergents are often introduced into the mass spectrometer. However, detergents commonly used for structural studies, such as dodecylmaltoside, tend to generate highly charged ions, leading to protein unfolding, thereby diminishing their utility in characterizing protein–lipid interactions. Thus, there is a critical need to develop approaches to investigate protein–lipid interactions in different detergents. Here, we demonstrate how charge-reducing molecules, such as spermine and trimethylamine-N-oxide, enable the opportunity to characterize lipid binding to the bacterial water channel (AqpZ) and …

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, …

Nutritional Intervention As Adjuvant Therapy For T-Cell Acute Lymphoblastic Leukemia, Miriam B Garcia, Palaniraja Thandapani

Faculty, Staff and Student Publications

No abstract provided.

Impact Of Pik3ca Gain And Pten Loss On Mantle Cell Lymphoma Biology And Sensitivity To Targeted Therapies, Nardjas Bettazova, Jana Senavova, Kristyna Kupcova, Dana Sovilj, Anezka Rajmonova, Ladislav Andera, Karla Svobodova, Adela Berkova, Zuzana Zemanova, Lenka Daumova, Vaclav Herman, Alexandra Dolníkova, R Eric Davis, Marek Trneny, Pavel Klener, Ondrej Havranek

Faculty, Staff and Student Publications

Besides many other mutations in known cancer driver genes, mantle cell lymphoma (MCL) is characterized by recurrent genetic alterations of important regulators of the phosphoinositol-3-kinase (PI3K) cascade including PIK3CA gains and PTEN losses. To evaluate the biological and functional consequences of these aberrations in MCL, we have introduced transgenic expression of PIK3CA (PIK3CA UP) and performed knockout/knockdown of PTEN gene (PTEN KO/KD) in 5 MCL cell lines. The modified cell lines were tested for associated phenotypes including dependence on upstream B-cell receptor (BCR) signaling (by an additional BCR knockout). PIK3CA overexpression decreased the dependence of the tested MCL on prosurvival …

Optical Genome Mapping For Detection Of Bcr::Abl1-Another Tool In Our Toolbox, Zhenya Tang, Wei Wang, Gokce A Toruner, Shimin Hu, Hong Fang, Jie Xu, M James You, L Jeffrey Medeiros, Joseph D Khoury, Guilin Tang

Faculty, Staff and Student Publications

Background:BCR::ABL1 fusion is mostly derived from a reciprocal translocation t(9;22)(q34.1;q11.2) and is rarely caused by insertion. Various methods have been used for the detection of t(9;22)/BCR::ABL1, such as G-banded chromosomal analysis, fluorescence in situ hybridization (FISH), quantitative real-time reverse transcription-polymerase chain reaction (RT-PCR) and optical genome mapping (OGM). Understanding the strengths and limitations of each method is essential for the selection of appropriate method(s) of disease diagnosis and/or during the follow-up.

Methods: We compared the results of OGM, chromosomal analysis, FISH, and/or RT-PCR in 12 cases with BCR::ABL1.

Results:BCR:ABL1 was detected by FISH and RT-PCR …

Micrornas Are Enriched At Covid-19 Genomic Risk Regions, And Their Blood Levels Correlate With The Covid-19 Prognosis Of Cancer Patients Infected By Sars-Cov-2, Simone Anfossi, Faezeh Darbaniyan, Joseph Quinlan, Steliana Calin, Masayoshi Shimizu, Meng Chen, Paola Rausseo, Michael Winters, Elena Bogatenkova, Kim-Anh Do, Ivan Martinez, Ziyi Li, Loredana Antal, Tudor Rares Olariu, Ignacio Wistuba, George A Calin

Faculty, Staff and Student Publications

Background: Cancer patients are more susceptible to an aggressive course of COVID-19. Developing biomarkers identifying cancer patients at high risk of COVID-19-related death could help determine who needs early clinical intervention. The miRNAs hosted in the genomic regions associated with the risk of aggressive COVID-19 could represent potential biomarkers for clinical outcomes.

Patients and methods: Plasma samples were collected at The University of Texas MD Anderson Cancer Center from cancer patients (N = 128) affected by COVID-19. Serum samples were collected from vaccinated healthy individuals (n = 23) at the Municipal Clinical Emergency Teaching Hospital in Timisoara, Romania. An in …

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 …

The Giab Genomic Stratifications Resource For Human Reference Genomes, Nathan Dwarshuis, Divya Kalra, Jennifer Mcdaniel, Philippe Sanio, Pilar Alvarez Jerez, Bharati Jadhav, Wenyu Eddy Huang, Rajarshi Mondal, Ben Busby, Nathan D Olson, Fritz J Sedlazeck, Justin Wagner, Sina Majidian, Justin M Zook

Faculty, Staff and Students Publications

Despite the growing variety of sequencing and variant-calling tools, no workflow performs equally well across the entire human genome. Understanding context-dependent performance is critical for enabling researchers, clinicians, and developers to make informed tradeoffs when selecting sequencing hardware and software. Here we describe a set of “stratifications,” which are BED files that define distinct contexts throughout the genome. We define these for GRCh37/38 as well as the new T2T-CHM13 reference, adding many new hard-to-sequence regions which are critical for understanding performance as the field progresses. Specifically, we highlight the increase in hard-to-map and GC-rich stratifications in CHM13 relative to the …

Characterizing The Progression From Mild Cognitive Impairment To Dementia: A Network Analysis Of Longitudinal Clinical Visits, Muskan Garg, Sara Hejazi, Sunyang Fu, Maria Vassilaki, Ronald C Petersen, Jennifer St Sauver, Sunghwan Sohn

Faculty, Staff and Student Publications

Background: With the recent surge in the utilization of electronic health records for cognitive decline, the research community has turned its attention to conducting fine-grained analyses of dementia onset using advanced techniques. Previous works have mostly focused on machine learning-based prediction of dementia, lacking the analysis of dementia progression and its associations with risk factors over time. The black box nature of machine learning models has also raised concerns regarding their uncertainty and safety in decision making, particularly in sensitive domains like healthcare.

Objective: We aimed to characterize the progression of health conditions, such as chronic diseases and neuropsychiatric symptoms, …

The Telehealth Shared Decision-Making Coaching And Navigation In Primary Care (Telescope) Intervention: A Study Protocol For Delivering Shared Decision-Making For Lung Cancer Screening By Patient Navigators, Naomi Q P Tan, Lisa M Lowenstein, Elisa E Douglas, Jeanne Silva, Joshua M Bershad, Jinghua An, Sanjay S Shete, Michael B Steinberg, Jeanne M Ferrante, Elizabeth C Clark, Ana Natale-Pereira, Novneet N Sahu, Shirin E Hastings, Richard M Hoffman, Robert J Volk, Anita Y Kinney

Faculty, Staff and Student Publications

BACKGROUND: Lung cancer screening (LCS) can reduce lung cancer mortality but has potential harms for patients. A shared decision-making (SDM) conversation about LCS is required by the Centers for Medicare & Medicaid Services (CMS) for LCS reimbursement. To overcome barriers to SDM in primary care, this protocol describes a telehealth decision coaching and navigation intervention for LCS in primary care clinics delivered by patient navigators. The objective of the study is to evaluate the effectiveness of the intervention and its implementation potential, compared with an enhanced usual care (EUC) arm.

METHODS: Patients (n = 420) of primary care clinicians (n …

Influence Of Tp53 Gene Mutations And Their Allelic Status In Myelodysplastic Syndromes With Isolated 5q Deletion, Maria Julia Montoro, Laura Palomo, Claudia Haferlach, Pamela Acha, Onyee Chan, Víctor Navarro, Yasuo Kubota, Felicitas Isabel Schulz, Manja Meggendorfer, Robert Briski, Najla Al Ali, Blanca Xicoy, Félix López-Cadenas, Francesc Bosch, Teresa González, Lea Naomi Eder, Andrés Jerez, Yu-Hung Wang, Alessia Campagna, Valeria Santini, Teresa Bernal Del Castillo, Esperanza Such, Hwei-Fang Tien, Nicolás Diaz Varela, Uwe Platzbecker, Detlef Haase, María Díez-Campelo, Matteo Della Porta, Guillermo Garcia-Manero, Daniel H Wiseman, Ulrich Germing, Jaroslaw P Maciejewski, Rami S Komrokji, Francesc Sole, Torsten Haferlach, David Valcárcel

Faculty, Staff and Student Publications

Mutations in the TP53 gene, particularly multihit alterations, have been associated with unfavorable clinical features and prognosis in patients diagnosed with myelodysplastic syndrome (MDS). Despite this, the role of TP53 gene aberrations in MDS with isolated deletion of chromosome 5 [MDS-del(5q)] remains unclear. This study aimed to assess the impact of TP53 gene mutations and their allelic state in patients with MDS-del(5q). To that end, a comprehensive analysis of TP53 abnormalities, examining both TP53 mutations and allelic imbalances, in 682 patients diagnosed with MDS-del(5q) was conducted. Twenty-four percent of TP53-mutated patients exhibited multihit alterations, whereas the remaining patients displayed monoallelic …

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 …

Immuneapp For Hla-I Epitope Prediction And Immunopeptidome Analysis, Haodong Xu, Ruifeng Hu, Xianjun Dong, Lan Kuang, Wenchao Zhang, Chao Tu, Zhihong Li, Zhongming Zhao

Faculty, Staff and Student Publications

Advances in mass spectrometry accelerates the characterization of HLA ligandome, necessitating the development of efficient methods for immunopeptidomics analysis and (neo)antigen prediction. We develop ImmuneApp, an interpretable deep learning framework trained on extensive HLA ligand datasets, which improves the prediction of HLA-I epitopes, prioritizes neoepitopes, and enhances immunopeptidomics deconvolution. ImmuneApp extracts informative embeddings and identifies key residues for pHLA binding. We also present a more accurate model-based deconvolution approach and systematically analyzed 216 multi-allelic immunopeptidomics samples, identifying 835,551 ligands restricted to over 100 HLA-I alleles. Our investigation reveals the effectiveness of the composite model, denoted as ImmuneApp-MA, which integrates mono- …