Medical Genetics Commons^™

Unraveling The Intercellular Communication Disruption And Key Pathways In Alzheimer’S Disease: An Integrative Study Of Single-Nucleus Transcriptomes And Genetic Association, Andi Liu, Brisa S Fernandes, Citu Citu, Zhongming Zhao

Faculty, Staff and Student Publications

BACKGROUND: Recently, single-nucleus RNA-seq (snRNA-seq) analyses have revealed important cellular and functional features of Alzheimer's disease (AD), a prevalent neurodegenerative disease. However, our knowledge regarding intercellular communication mediated by dysregulated ligand-receptor (LR) interactions remains very limited in AD brains.

METHODS: We systematically assessed the intercellular communication networks by using a discovery snRNA-seq dataset comprising 69,499 nuclei from 48 human postmortem prefrontal cortex (PFC) samples. We replicated the findings using an independent snRNA-seq dataset of 56,440 nuclei from 18 PFC samples. By integrating genetic signals from AD genome-wide association studies (GWAS) summary statistics and whole genome sequencing (WGS) data, we prioritized …

Investigation Into Cardiac Myhc-Α 334-352-Specific Tcr Transgenic Mice Reveals A Role For Cytotoxic Cd4 T Cells In The Development Of Cardiac Autoimmunity, Meghna Sur, Mahima T. Rasquinha, Kiruthiga Mone, Chandirasegaran Massilamany, Ninaad Lasrado, Channabasavaiah B. Gurumurthy, Raymond A Sobel, Jay Reddy

Journal Articles: Genetics, Cell Biology & Anatomy

Myocarditis is one of the major causes of heart failure in children and young adults and can lead to dilated cardiomyopathy. Lymphocytic myocarditis could result from autoreactive CD4⁺ and CD8⁺ T cells, but defining antigen specificity in disease pathogenesis is challenging. To address this issue, we generated T cell receptor (TCR) transgenic (Tg) C57BL/6J mice specific to cardiac myosin heavy chain (Myhc)-α 334-352 and found that Myhc-α-specific TCRs were expressed in both CD4⁺ and CD8⁺ T cells. To investigate if the phenotype is more pronounced in a myocarditis-susceptible genetic background, we backcrossed with A/J mice. At …

Facilitating Clinical Information Extraction With Synthetic Data And Ontology Using Large Language Models, Yan Hu, Huan He, Qingyu Chen, Xiaoqian Jiang, Kirk Roberts, Hua Xu

Faculty, Staff and Student Publications

The rapid growth of unstructured clinical text in electronic health records necessitates robust information extraction systems, yet their development is hindered by the scarcity of high-quality annotated data. This study explores the potential of large language models to generate synthetic data for clinical named entity recognition and examines its impact on model performance. We propose a novel framework that integrates self-verified synthetic data generation with domain-specific semantic mapping using SNOMED-CT. By leveraging GPT-4o-mini for synthetic data creation and refining its quality through iterative verification and anomaly detection, we systematically evaluate the influence of synthetic data quality and quantity on fine-tuning …

Design And Implementation Of Multicenter Pediatric And Congenital Studies With Cardiovascular Magnetic Resonance: Big Data In Smaller Bodies, Michael P Dilorenzo, Simon Lee, Rahul H Rathod, Francesca Raimondi, Kanwal M Farooqi, Supriya S Jain, Margaret M Samyn, Tiffanie R Johnson, Laura J Olivieri, Mark A Fogel, Wyman W Lai, Pierangelo Renella, Andrew J Powell, Sujatha Buddhe, Caitlin Stafford, Jason N Johnson, Willem A Helbing, Kuberan Pushparajah, Inga Voges, Vivek Muthurangu, Kimberley G Miles, Gerald Greil, Colin J Mcmahon, Timothy C Slesnick, Brian M Fonseca, Shaine A Morris, Jonathan H Soslow, Lars Grosse-Wortmann, Rebecca S Beroukhim, Heynric B Grotenhuis

Faculty, Staff and Student Publications

Cardiovascular magnetic resonance (CMR) has become the reference standard for quantitative and qualitative assessment of ventricular function, blood flow, and myocardial tissue characterization. There is a preponderance of large CMR studies and registries in adults; However, similarly powered studies are lacking for the pediatric and congenital heart disease (PCHD) population. To date, most CMR studies in children are limited to small single or multicenter studies, thereby limiting the conclusions that can be drawn. Within the PCHD CMR community, a collaborative effort has been successfully employed to recognize knowledge gaps with the aim to embolden the development and initiation of high-quality, …

Dysregulation Of Epigenetic Modifications In Inborn Errors Of Immunity, Zhongyao Xiao, Rongjing He, Zihan Zhao, Taiping Chen, Zhengzhou Ying

Faculty, Staff and Student Publications

Inborn errors of immunity (IEIs) are a group of typically monogenic disorders characterized by dysfunction in the immune system. Individuals with these disorders experience increased susceptibility to infections, autoimmunity and malignancies due to abnormal immune responses. Epigenetic modifications, including DNA methylation, histone modifications and chromatin remodeling, have been well explored in the regulation of immune cell development and effector function. Aberrant epigenetic modifications can disrupt gene expression profiles crucial for immune responses, resulting in impaired immune cell differentiation and function. Dysregulation of these processes caused by mutations in genes involving in epigenetic modifications has been associated with various IEIs. In …

Public Perspectives On Investigative Genetic Genealogy: Findings From A National Focus Group Study, Jacklyn Dahlquist, Jill O Robinson, Amira Daoud, Whitney Bash-Brooks, Amy L Mcguire, Christi J Guerrini, Stephanie M Fullerton

Center for Medical Ethics and Health Policy Staff Publications

Background: Investigative genetic genealogy (IGG) is a technique that involves uploading genotypes developed from perpetrator DNA left at a crime scene, or DNA from unidentified remains, to public genetic genealogy databases to identify genetic relatives and, through the creation of a family tree, the individual who was the source of the DNA. As policymakers demonstrate interest in regulating IGG, it is important to understand public perspectives on IGG to determine whether proposed policies are aligned with public attitudes.

Methods: We conducted eight focus groups with members of the public (N = 72), sampled from four geographically diverse US regions, …

"A Double-Edged Sword": A Brief History Of Genomic Data Governance And Genetic Researcher Perspectives On Data Sharing, Kayte Spector-Bagdady, Kerry A Ryan, Amy L Mcguire, Chris D Krenz, M Grace Trinidad, Kaitlyn Jaffe, Amanda Greene, J Denard Thomas, Madison Kent, Stephanie Morain, David Wilborn, J Scott Roberts

Center for Medical Ethics and Health Policy Staff Publications

As the federal government continues to expand upon and improve its data sharing policies over the past 20 years, complex challenges remain. Our interviews with U.S. academic genetic researchers (n=23) found that the burden, translation, industry limitations, and consent structure of data sharing remain major governance challenges.

The Relationship Of Neighborhood Disadvantage, Biological Aging, And Psychosocial Risk And Resilience Factors In Heart Failure Incidence Among Black Persons: A Moderated Mediation Analysis, Ganga S Bey, James R Pike, Anthony S Zannas, Qian Xiao, Bing Yu, Amil M Shah, Priya Palta

Faculty, Staff and Student Publications

Objectives: Deprived living environments contribute to greater heart failure (HF) risk among non-Hispanic Black persons, who disproportionately occupy disadvantaged neighborhoods. The mechanisms for these effects are not fully explicated, partially attributable to an insufficient understanding of the individual factors that contribute additional risk or resilience to the impact of neighborhood disadvantage on health. The objective of this study was, therefore, to clarify the complex pathways over which such exposures act to facilitate more targeted, effective interventions. Given the evidence for a mediating role of biological age and a moderating role of individual psychosocial characteristics in the neighborhood disadvantage-HF link, we …

An Ewas Of Dementia Biomarkers And Their Associations With Age, African Ancestry, And Ptsd, Mark W. Miller, Erika J. Wolf, Xiang Zhao, Mark W. Logue, Sage E. Hawn

Psychology Faculty Publications

Background

Large-scale cohort and epidemiological studies suggest that PTSD confers risk for dementia in later life but the biological mechanisms underlying this association remain unknown. This study examined this question by assessing the influences of PTSD, APOE ε4 genotypes, DNA methylation, and other variables on the age- and dementia-associated biomarkers Aβ40, Aβ42, GFAP, NfL, and pTau-181 measured in plasma. Our primary hypothesis was that PTSD would be associated with elevated levels of these markers.

Methods

Analyses were based on data from a PTSD-enriched cohort of 849 individuals. We began by performing factor analyses of the biomarkers, the results of which …

Rragd-Associated Autosomal Dominant Kidney Hypomagnesemia With Cardiomyopathy: A Review On The Clinical Manifestations And Therapeutic Options, Francesco Trepiccione, Irene Sambri, Barbara Ruggiero, Francesco Emma, Andrea Ballabio, Giulia Florio, Ines Vanderheyden, Anna Iervolino, François Jouret

Duncan NRI Faculty and Staff Publications

Background: A hereditary condition primarily affecting the kidneys and heart has newly been identified: the RRAGD-associated autosomal dominant kidney hypomagnesemia with cardiomyopathy (ADKH-RRAGD). This disorder is characterized by renal loss of magnesium and potassium, coupled with varying degrees of cardiac dysfunction. These range from arrhythmias to severe dilated cardiomyopathy, which may require heart transplantation. Mutations associated with RRAGD significantly disrupt the non-canonical branch of the mechanistic target of rapamycin complex 1 pathway. This disruption hinders the nuclear translocation and transcriptional activity of the transcription factor EB a crucial regulator of lysosomal and autophagic function.

Summary: All identified RRAGD variants compromise …

Fgf5, Evelyn A Carrion, Malcolm M Moses, Richard R Behringer

Faculty, Staff and Student Publications

FGF5 functions as a negative regulator of the hair cycle in mammals. It is expressed in the outer root sheath of hair follicles during the late anagen phase of the hair cycle. It functions as a signaling molecule, mediating the transition of the anagen growth phase to catagen regression phase of the hair cycle. Spontaneous and engineered FGF5 mutations in mammalian animal models result in long hair phenotypes. In humans, inherited FGF5 mutations result in trichomegaly (long eyelashes). Knockdown of fgf5 in zebrafish embryos results in inner ear alterations. Alterations in FGF5 expression are also associated with various human pathologies.

Failure To Mate Enhances Investment In Behaviors That May Promote Mating Reward And Impairs The Ability To Cope With Stressors Via A Subpopulation Of Neuropeptide F Receptor Neurons, Julia Ryvkin, Liora Omesi, Yong-Kyu Kim, Mali Levi, Hadar Pozeilov, Lital Barak-Buchris, Bella Agranovich, Ifat Abramovich, Eyal Gottlieb, Avi Jacob, Dick R Nässel, Ulrike Heberlein, Galit Shohat-Ophir

Faculty, Staff and Student Publications

Living in dynamic environments such as the social domain, where interaction with others determines the reproductive success of individuals, requires the ability to recognize opportunities to obtain natural rewards and cope with challenges that are associated with achieving them. As such, actions that promote survival and reproduction are reinforced by the brain reward system, whereas coping with the challenges associated with obtaining these rewards is mediated by stress-response pathways, the activation of which can impair health and shorten lifespan. While much research has been devoted to understanding mechanisms underlying the way by which natural rewards are processed by the reward …

Sudden Unexpected Intrapartum Death And Left Ventricular Noncompaction Involving The Right Ventricle, Giulia Ottaviani, Tobia Tomasello, Francesca Boggio, Letterio Runza, Alessandro Del Gobbo, L Maximilian Buja

Faculty, Staff and Student Publications

Left ventricular noncompaction (LVNC), involving mainly the right ventricle, is a rare form of congenital heart disorder characterized by a developmental arrest in myocardial compaction, resulting in a spongy appearance of the myocardium, mainly of the right ventricle, rarely detected in fetuses. We report the case of a female fetus with a gestational age of 41+4 weeks who came to our attention for intrapartum sudden unexpected death, resulting in stillbirth. The ventricular walls, particularly the right ventricular wall, appeared thick, hypertrabeculated and spongy, leading to the diagnosis of LVNC involving mainly the right ventricle. The atrioventricular node and His bundle …

Chronic Lymphocytic Leukemia: Disease Biology, Stefan Koehrer, Jan A Burger

Faculty, Staff and Student Publications

Background: B-cell receptor (BCR) signaling is crucial for normal B-cell development and adaptive immunity. In chronic lymphocytic leukemia (CLL), the malignant B cells display many features of normal mature B lymphocytes, including the expression of functional B-cell receptors (BCRs). Cross talk between CLL cells and the microenvironment in secondary lymphatic organs results in BCR signaling and BCR-driven proliferation of the CLL cells. This critical pathomechanism can be targeted by blocking BCR-related kinases (BTK, PI3K, spleen tyrosine kinase) using small-molecule inhibitors. Among these targets, Bruton tyrosine kinase (BTK) inhibitors have the highest therapeutic efficacy; they effectively block leukemia cell proliferation and …

On The Relative Conservativeness Of Bayesian Logistic Regression Method In Oncology Dose-Finding Studies, Cheng-Han Yang, Guanghui Cheng, Ruitao Lin

Faculty, Staff and Student Publications

The Bayesian logistic regression method (BLRM) is a widely adopted and flexible design for finding the maximum tolerated dose in oncology phase I studies. However, the BLRM design has been criticized in the literature for being overly conservative due to the use of the overdose control rule. Recently, a discussion paper titled "Improving the performance of Bayesian logistic regression model with overall control in oncology dose-finding studies" in Statistics in Medicine has proposed an overall control rule to address the "excessive conservativeness" of the standard BLRM design. In this short communication, we discuss the relative conservativeness of the standard BLRM …

Systematic Review And Meta-Analysis Of Acupuncture For Modulation Of Immune And Inflammatory Markers In Cancer Patients, Wenli Liu, Baisong Zhong, Richard W Wagner, M Kay Garcia, Jennifer L Mcquade, Wen Huang, Yisheng Li, Graciela M Nogueras Gonzalez, Michael R Spano, Alessandro Cohen, Yimin Geng, Lorenzo Cohen

Faculty, Staff and Student Publications

Introduction: Inflammation is associated with tumor initiation, and existing tumors are associated with immune suppression locally and systemically. Cancer treatment is also associated with immune suppression. This review evaluates evidence related to the use of acupuncture for modulation of inflammation and the immune system in cancer patients.

Methods: Nine databases were searched for prospective, randomized, controlled trials evaluating the use of acupuncture for modulation of the immune system in cancer patients through March 2024. Only studies involving needle insertion into acupuncture points were included. No language limitations were applied. Studies were assessed for risk of bias (ROB) according to Cochrane …

Pancreatic Cancer Action Network's Spark: A Cloud-Based Patient Health Data And Analytics Platform For Pancreatic Cancer, Kawther Abdilleh, Omar Khalid, Dennis Ladnier, Wenshuai Wan, Sara Seepo, Garrett Rupp, Valentin Corelj, Zelia F Worman, Divya Sain, Jack Digiovanna, Bruce Press, Satty Chandrashekhar, Eric Collisson, Karen Y Cui, Anirban Maitra, Paul A Rejto, Kevin P White, Lynn Matrisian, Sudheer Doss

Faculty, Staff and Student Publications

Purpose: Pancreatic cancer currently holds the position of third deadliest cancer in the United States and the 5-year survival rate is among the lowest for major cancers at just 12%. Thus, continued research efforts to better understand the clinical and molecular underpinnings of pancreatic cancer are critical to developing both early detection methodologies as well as improved therapeutic options. This study introduces Pancreatic Cancer Action Network's (PanCAN's) SPARK, a cloud-based data and analytics platform that integrates patient health data from the PanCAN's research initiatives and aims to accelerate pancreatic cancer research by making real-world patient health data and analysis tools …

Leptomeningeal Disease In Melanoma: An Update On The Developments In Pathophysiology And Clinical Care, Inna Smalley, Adrienne Boire, Priscilla Brastianos, Harriet M Kluger, Eva Hernando-Monge, Peter A Forsyth, Kamran A Ahmed, Keiran S M Smalley, Sherise Ferguson, Michael A Davies, Isabella C Glitza Oliva

Faculty, Staff and Student Publications

Leptomeningeal disease (LMD) remains a major challenge in the clinical management of metastatic melanoma patients. Outcomes for patient remain poor, and patients with LMD continue to be excluded from almost all clinical trials. However, recent trials have demonstrated the feasibility of conducting prospective clinical trials in these patients. Further, new insights into the pathophysiology of LMD are identifying rational new therapeutic strategies. Here we present recent advances in the understanding of, and treatment options for, LMD from metastatic melanoma. We also annotate key areas of future focus to accelerate progress for this challenging but emerging field.

Myeloid Lineage Switch In Kmt2a- Rearranged Acute Lymphoblastic Leukemia Treated With Lymphoid Lineagedirected Therapies, Alex Bataller, Tareq Abuasab, David Mccall, Wei Wang, Branko Cuglievan, Ghayas C Issa, Elias Jabbour, Nicholas Short, Courtney D Dinardo, Guilin Tang, Guillermo Garcia-Manero, Hagop M Kantarjian, Koji Sasaki

Faculty, Staff and Student Publications

No abstract provided.

Editorial: Mathematical Modeling And Computational Predictions In Oncoimmunology, Vladimir A Kuznetsov, Heiko Enderling, Mark Chaplain

Faculty, Staff and Student Publications

No abstract provided.

The Impact Of Psychological Strengths On Veteran Populations' Mental Health Trajectories During The Covid-19 Pandemic, Amanda Mccleery, Jonathan K Wynn, Derek M Novacek, Eric A Reavis, Damla Senturk, Catherine A Sugar, Jack Tsai, Michael F Green

Faculty, Staff and Student Publications

Purpose: Mental health trajectories during the COVID-19 pandemic have been examined in Veterans with tenuous social connections, i.e., those with recent homelessness (RHV) or a psychotic disorder (PSY), and in control Veterans (CTL). We test potential moderating effects on these trajectories by psychological factors that may help individuals weather the socio-emotional challenges associated with the pandemic (i.e., 'psychological strengths').

Methods: We assessed 81 PSY, 76 RHV, and 74 CTL over 5 periods between 05/2020 and 07/2021. Mental health outcomes (i.e., symptoms of depression, anxiety, contamination concerns, loneliness) were assessed at each period, and psychological strengths (i.e., a composite score based …

Metformin In Conjunction With Stereotactic Radiotherapy For Early-Stage Non-Small Cell Lung Cancer: Long-Term Results Of A Prospective Phase Ii Clinical Trial, Molly K Tate, Mike Hernandez, Joe Y Chang, Steven H Lin, Zhongxing Liao, Suja M Koshy, Heath D Skinner, Stephen G Chun

Faculty, Staff and Student Publications

Background/aim: Non-small cell lung cancer (NSCLC) is increasingly detected in early stages and there is interest in improving outcomes with stereotactic body radiotherapy (SBRT). As metformin affects NSCLC signaling pathways, it might alter the metabolism of NSCLC treated with SBRT. This study investigated the long-term outcomes of a phase II clinical trial evaluating metformin in conjunction with SBRT for early-stage NSCLC.

Patients and methods: The trial evaluated patients with American Joint Commission on Cancer (AJCC) 7th edition Stage I-II, cT1-T2N0M0 NSCLC who were randomized 6:1 to receive metformin versus placebo in conjunction with SBRT. The outcomes analyzed included local failure …

Predicting Suicidality In Late-Life Depression By 3d Convolutional Neural Network And Cross-Sample Entropy Analysis Of Resting-State Fmri, Chemin Lin, Chih-Mao Huang, Wei Chang, You-Xun Chang, Ho-Ling Liu, Shu-Hang Ng, Huang-Li Lin, Tatia Mei-Chun Lee, Shwu-Hua Lee, Shun-Chi Wu

Faculty, Staff and Student Publications

Background: Predicting suicide is a pressing issue among older adults; however, predicting its risk is difficult. Capitalizing on the recent development of machine learning, considerable progress has been made in predicting complex behavior such as suicide. As depression remained the strongest risk for suicide, we aimed to apply deep learning algorithms to identify suicidality in a group with late-life depression (LLD).

Methods: We enrolled 83 patients with LLD, 35 of which were non-suicidal and 48 were suicidal, including 26 with only suicidal ideation and 22 with past suicide attempts, for resting-state functional magnetic resonance imaging (MRI). Cross-sample entropy (CSE) analysis …

A Reinforcement Learning (Rl)-Motivated Simulation Framework For Evaluating Vancomycin Dosing Strategies, Bingyu Mao, Ziqian Xie, Laila Rasmy, Masayuki Nigo, Degui Zhi

Faculty, Staff and Student Publications

Achieving and maintaining the therapeutic range in vancomycin treatment is important for optimal outcomes. While guidelines and best practices based on empirical studies exist, the theoretical best dosing strategies under various conditions remain illusive. We developed an RL-based simulation framework using a deep learning two-compartment pharmacokinetic model (PK-RNN-2CM) and introduced the area under the time-concentration curve (AUC) reward score, which translates clinical guidelines into an RL reward. Ground truth time-concentration curves were generated from patient-specific data, and simulated curves were produced under different dosing strategies with optional noise perturbations to mimic real-world settings. Evaluation metrics included 24-hour AUC assessments and …

Real-World Analysis Of Safety And Efficacy Of Car T-Cell Therapy In Lymphoma Patients With Decreased Kidney Function, Omar Mamlouk, Paolo Strati, Lei Feng, Ryan Sun, Amy Ayers, Raphael E Steiner, Ranjit Nair, Christopher Flowers, Jeremy L Ramdial, Neeraj Saini, Samer A Srour, Richard E Champlin, Partow Kebriaei, Loretta J Nastoupil, Maria A Rodriguez, Elizabeth J Shpall, Yago Nieto, Jason Westin, Sattva S Neelapu, Sreedhar Mandayam, Sairah Ahmed

Faculty, Staff and Student Publications

No abstract provided.

Microstructural Organization Of Distributed White Matter Associated With Fine Motor Control In Us Service Members With Mild Traumatic Brain Injury, Benjamin S C Wade, David F Tate, Eamonn Kennedy, Erin D Bigler, Gerald E York, Brian A Taylor, Maya Troyanskaya, Elizabeth S Hovenden, Naomi Goodrich-Hunsaker, Mary R Newsome, Emily L Dennis, Tracy Abildskov, Mary Jo Pugh, William C Walker, Kimbra Kenney, Aaron Betts, Robert Shih, Robert C Welsh, Elisabeth A Wilde

Faculty, Staff and Student Publications

Mild traumatic brain injury (mTBI) is the most common form of brain injury. While most individuals recover from mTBI, roughly 20% experience persistent symptoms, potentially including reduced fine motor control. We investigate relationships between regional white matter organization and subcortical volumes associated with performance on the Grooved Pegboard (GPB) test in a large cohort of military Service Members and Veterans (SM&Vs) with and without a history of mTBI(s). Participants were enrolled in the Long-term Impact of Military-relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium. SM&Vs with a history of mTBI(s) (n = 847) and without mTBI (n = …

Refinement Of An Emergency Department-Based, Advance Care Planning Intervention For Patients With Cognitive Impairment And Their Caregivers, Kei Ouchi, Christopher Joshi, Jenson Kaithamattam, Seth A Gale, Gad A Marshall, Alison Pietras, Wei Wang, Edward W Boyer, James A Tulsky, Susan D Block, Dorene Rentz, Mara A Schonberg

Faculty, Staff and Student Publications

Background and objectives: Advance care planning (ACP) conversations are important to provide goal-concordant care (i.e., the care that matches the patient's previously stated goals) near end of life. While 31% of older adults presenting to the emergency department (ED) have dementia, only 39% have previously had ACP conversations. We refined and piloted an ED-based, motivational interview designed to stimulate ACP conversations (ED GOAL) for patients living with cognitive impairment and their caregivers.

Research design and methods: We systematically refined ED GOAL and then conducted an acceptability study in an urban, academic medical center. We prospectively enrolled adults aged 50+ with …

Editorial: Immunological Aspects Of Emerging And Re-Emerging Zoonoses, Wei Wang, Jingxin Li, Yuejin Liang, Wenping Gong

Faculty, Staff and Student Publications

No abstract provided.

Unicentric Castleman Disease: Illustration Of Its Morphologic Spectrum And Review Of The Differential Diagnosis, Siba El Hussein, Andrew G Evans, Hong Fang, Wei Wang, L Jeffrey Medeiros

Faculty, Staff and Student Publications

Context: Unicentric Castleman disease (UCD) is a dynamic entity with a wide spectrum of morphologic findings. UCD can be further subdivided into hyaline-vascular and mixed/plasmacytic variants. Hyaline-vascular UCD has both follicular and interfollicular (stromal) changes, and occasionally these lesions show a skewed representation of either the follicular or stromal compartments. Plasmacytosis is usually minimal in the hyaline-vascular variant. The mixed/plasmacytic variant of UCD is composed of sheets of plasma cells often associated with a variable number of follicles with regressive changes.

Objective: To illustrate the differential diagnosis of UCD, as it is quite broad and includes lymphomas, plasma cell neoplasms, …

Highly Variable Timing Renders Immunotherapy Efficacy And Toxicity Impractical Biomarkers Of One Another In Clinical Practice, Mitchell S Von Itzstein, Yuqiu Yang, Yiqing Wang, David Hsiehchen, Thomas Y Sheffield, Farjana Fattah, Vinita Popat, Murtaza Ahmed, Jade Homsi, Jonathan E Dowell, Sawsan Rashdan, Jay Lohrey, Hans J Hammers, Randall S Hughes, Tao Wang, Yang Xie, David E Gerber

Faculty, Staff and Student Publications

Background: A useful clinical biomarker requires not only association but also a consistent temporal relationship. For instance, chemotherapy-induced neutropenia and epidermal growth-factor inhibitor-related acneiform rash both occur within weeks of treatment initiation, thereby providing information prior to efficacy assessment. Although immune checkpoint inhibitor (ICI)-associated immune-related adverse events (irAE) have been associated with therapeutic benefit, irAE may have delayed and highly variable onset. To determine whether ICI efficacy and irAE could serve as clinically useful biomarkers for predicting each other, we determined the temporal relationship between initial efficacy assessment and irAE onset in a diverse population treated with ICI.

Methods: Using …