Digital Commons Network^™

Exacerbation Of Paclitaxel-Induced Neuropathic Pain Behaviors In Breast Tumor-Bearing Mice, Hee Kee Kim, Juping Xing, Youn-Sang Jung, Jae-Il Park, Hee Young Kim, Jimin Kim, Salahadin Abdi

Faculty, Staff and Student Publications

Background: Chronic pain and cancer interact bidirectionally, with pain enhancing sensory peptides and potentially promoting tumor growth. Despite this, most chemotherapy-induced neuropathic pain (CIPN) studies overlook the contribution of cancer itself to neuropathy, focusing instead on chemotherapy-induced mechanisms. Animal models of chemotherapy-induced neuropathic pain (CINP) have been developed by injecting chemotherapeutic drugs such as paclitaxel into normal animals without cancer. This study aimed to develop a new model in mouse mammary tumor virus-polyomavirus middle T antigen (MMTV-PyMT) mice, a widely used breast cancer model with normal immune function.

Results: The percentage of positive response (PPR) of paclitaxel-injected MMTV-PyMT mice increased …

A New, Early Cretaceous Carettochelyid Turtle From South Korea Provides Insights Into Softshell Evolution And Aquatic Ecology, Minguk Kim, Jongyun Jung, Walter G Joyce, Jae-Il Park, Hye-Yeon Jung, Hyemin Jo, Min Huh

Faculty, Staff and Student Publications

Here, we present a new Cretaceous carettochelyid turtle, Byeoljubuchelys yeosuensis gen. et sp. nov., from the Lower Cretaceous Hasandong Formation of Yeosu, Korea. A nearly complete shell and select elements of the girdles and limbs provide crucial insight into the evolution and aquatic adaptation of this family. Phylogenetic analyses place Byeoljubuchelys yeosuensis at the most basal position within Carettochelyidae. The mid-sized plastron of Byeoljubuchelys yeosuensis appears to be plesiomorphic for the group. The expansion of the plastron during carettochelyid evolution, especially during the Paleogene, may be an evolutionary response to increasing body size or the threat of mammalian predators. …

Practical Application Of Multivendor Mri-Based R2* Mapping For Liver Iron Quantification At 15 T And 30 T, Gregory Simchick, Ruiyang Zhao, Qing Yuan, Mounes Aliyari Ghasabeh, Stefan Ruschke, Dimitrios C Karampinos, David T Harris, Raphael Do Vale Souza, Ryan J Mattison, Michael R Jeng, Ivan Pedrosa, Ihab R Kamel, Shreyas Vasanawala, Takeshi Yokoo, Scott B Reeder, Diego Hernando

Faculty, Staff and Student Publications

Background: Recent multicenter, multivendor MRI-based R2* vs. liver iron concentration (LIC) calibrations (i.e., MCMV calibrations) may facilitate broad clinical dissemination of R2*-based LIC quantification. However, these calibrations are based on a centralized offline R2* reconstruction, and their applicability with vendor-provided R2* maps is unclear.

Purpose: To determine R2* ranges of agreement between the centralized and three MRI vendors' R2* reconstructions.

Study type: Prospective.

Subjects: Two hundred and seven subjects (mean age 37.6 ± 19.6 years; 117 male) with known or suspected iron overload from four academic medical centers.

Field strength/sequence: Standardized multiecho spoiled gradient echo sequence at 1.5 T and …

Development Of Microcystoid Macular Degeneration In The Retina Of Nonhuman Primates: Time-Course And Associated Pathologies, Thomas C M Lavery, Carol A Rasmussen, Alexander W Katz, Charlene B Y Kim, James N Ver Hoeve, Paul E Miller, Peter J Sonnentag, Brian J Christian, Christopher J Murphy, David R Piwnica-Worms, Seth T Gammon, Xudong Qiu, Paul L Kaufman, T Michael Nork

Faculty, Staff and Student Publications

Purpose: Microcystoid macular degeneration (MMD) is a condition where cystoid vacuoles develop within the inner nuclear layer of the retina in humans in a variety of disorders. Here we report the occurrence of MMD in non-human primates (NHPs) with various retinal ganglion cell (RGC) pathologies and evaluate the hypothesis that MMD does not precede RGC loss but follows it.

Methods: Morphological studies were performed of the retinas of NHPs, specifically both rhesus (Macaca mulatta) and cynomolgus macaques (Macaca fascicularis), in which MMD was identified after induction of experimental glaucoma (EG), hemiretinal endodiathermy axotomy (HEA), and spontaneous …

Mapping The Process Of Engagement With Digital Health Interventions: A Cross-Case Synthesis, Madison Milne-Ives, Sophie R. Homer, Jackie Andrade, Edward Meinert

School of Nursing and Midwifery

Objective: To map the associations between affective, cognitive, and behavioral components of engagement with digital health interventions to provide a framework to improve intervention design, evaluation, and impact. Patients and Methods: An exploratory multiple case study examined 3 studies evaluating a childhood obesity mobile application (NoObesity, data collection: from September 15, 2020 to June 23, 2021), a mental health conversational agent mobile application (Wysa, data collection: from December 13, 2022 to July 31, 2023), and a telephone-delivered conversational agent postsurgical assessment (Dora R1, data collection: from September 17, 2021 to January 31, 2022). Qualitative data from semi-structured interviews (NoObesity: n=15, …

Using Social Robots To Deliver Behaviour Change Interventions, Leonie Cooper

School of Psychology Theses

The acceleration of technology advancements has resulted in the growth of digital solutions to support with behaviour change in a wide range of domains. Social robots have been explored for their feasibility as agents to deliver established and novel talk-based person-centred behaviour change interventions, such as Motivational Interviewing and Functional Imagery Training (FIT), due to their interactive design and a way to support the growing pressures on health sectors. This thesis builds on previous feasibility work but explores the use of the social robots to support students in changing procrastination behaviours. There is a high prevalence of reported procrastination in …

The Comparison Of Human And Machine Performance In Object Recognition, Gokcek Kul

School of Psychology Theses

Deep learning algorithms have advanced significantly due to better hardware and large training sets, with some claiming they now match or exceed human performance. Recent findings indicate improvements in robustness against Out-Of-Distribution benchmark sets and alignment with human categorisation behaviour. This thesis evaluates various machine learning models to ensure a fair comparison with human performance using principles from comparative psychology. Chapter 2 introduces a psychologically grounded framework for comparing human and machine object categorisation performance, focusing on different presentation times and task complexities. The results indicate that while recent machine learning models have reached or exceeded human performance under optimised …

Engaging Student Nurses In Lifestyle Management: The Role Of Technology-Based Interventions And Mobile Health Applications, Daniela Austin

School of Psychology Theses

Despite their knowledge of health risks and their future role as health promoters, pre-registered nursing students frequently struggle with unhealthy behaviours, including high rates of overweight and obesity. This thesis investigated these challenges in a student nurse population in the South West of England, exploring lifestyle patterns, perceived barriers and motivators, and the potential of mobile health (mHealth) interventions to support behaviour change.Using a multi-method approach across four studies, the research examined students’ current health behaviours, attitudes towards digital tools, and the feasibility and acceptability of theory-driven interventions. The first study, a cross-sectional survey, assessed diet, physical activity, and attitudes …

Soteriological Perspectives In The Seventh-Day Adventist Church From 1930 To 2000, Jungkyu Park

Dissertations

The Topic

The soteriology of the Seventh-day Adventist Church, originally shaped in the mid-nineteenth century around the preparation for the imminent Second Coming, has undergone gradual development over time. By the mid-twentieth century, various perspectives emerged due to the continuation of traditional teachings from the late nineteenth century and challenges from external theological influences. In particular, throughout the debate over Last Generation Theology, each theologian defined and interpreted “righteousness by faith” according to their own theological background and historical context. The resulting tensions and conflicts continue to persist to this day.

The Purpose

This study aims to describe and examine …

Exploring Inclusive Education And Listening In Relation To Children's Experiences And Teachers' Perspectives, Ramazan Merk

School of Law, Humanities and Social Sciences Theses

This thesis addressed the field of inclusive education and the importance of listening from the perspectives of both children and teachers. Drawing on experiences in pre-school and reception classrooms in England, I explored the essence of inclusive education and effective implementation strategies to meet the needs of children, including those with diverse needs. Emphasis was placed on the necessity for teachers to acknowledge and address each child's individual needs when developing early years learning environments. Moreover, the study underlined the important role of active listening in promoting communication and understanding between teachers and children as a cornerstone of inclusive pedagogy. …

“Fish In Different Water, To Survive Or To Thrive?” Understanding Direct-Entry Pre-Sessional Chinese Students’ Learning Experiences During Covid-19 And Its Aftermath, Lingyuan Osgathorpe

School of Law, Humanities and Social Sciences Theses

This thesis explores the learning experiences of direct-entry pre-sessional Chinese students in the UK during the COVID-19 pandemic and its aftermath, using Pierre Bourdieu’s theoretical framework. Through the metaphor of students as "fish in different water", the research examines how these learners navigate and adapt to new educational environments that often starkly contrast with their prior experiences.The study employs a two-stage semi-structured interview process with student participants, first in China during their online pre-sessional courses and later in the UK during their degree programmes. All interviews were conducted in Mandarin Chinese to ensure linguistic and cultural accessibility. Additionally, expert interviews …

Generalizable Self-Supervised Learning For Brain Cta In Acute Stroke, Yingjun Dong, Samiksha Pachade, Kirk Roberts, Xiaoqian Jiang, Sunil A Sheth, Luca Giancardo

Faculty, Staff and Student Publications

Acute stroke management involves rapid and accurate interpretation of CTA imaging data. However, generalizable models for multiple acute stroke tasks able to learn from unlabeled data do not exist. We propose a linear probed self-supervised contrastive learning utilizing 3D CTA images and the findings section of radiologists' reports for pretraining. Subsequently, the pretrained model was applied to four disparate tasks: large vessel occlusion (LVO) detection, acute ischemic stroke detection, acute ischemic stroke, intracerebral hemorrhage classification, and ischemic core volume prediction. The tasks chosen are particularly challenging as they cannot be directly extracted from the radiology reports findings with keywords. The …

Unraveling Complex Temporal Patterns In Ehrs Via Robust Irregular Tensor Factorization, Ren Yifei, Linghui Zeng, Jian Lou, Li Xiong, Joyce C Ho, Xiaoqian Jiang, Sivasubramanium V Bhavani

Faculty, Staff and Student Publications

Electronic health records (EHRs) contain diverse patient data with varying visit frequencies. While irregular tensor factorization techniques such as PARAFAC2 have been used for extracting meaningful medical concepts from EHRs, existing methods fail to capture non-linear and complex temporal patterns and struggle with missing entries. In this paper, we propose REPAR, an RNN REgularized Robust PARAFAC2 method to model complex temporal dependencies and enhance robustness in the presence of missing data. Our approach employs Recurrent Neural Networks (RNNs) for temporal regularization and a low-rank constraint for robustness, enabling precise patient subgroup identification and improved clinical decision-making in noisy EHR data. …

Pain Phenotyping Indicators In Older Adults With Chronic Low Back Pain: A Secondary Analysis Of A Randomized Controlled Trial, Katrina R Hamilton, Nada Lukkahatai, Wanqi Chen, Hulin Wu, Jennifer Kawi, Constance M Johnson, Paul J Christo, Claudia M Campbell

Faculty, Staff and Student Publications

Purpose: A multimodal approach to clinical care is often recommended for chronic low back pain (cLBP); however, treatment responses are highly variable. Phenotyping could help determine subgroups of patients, allowing for targeted and tailored interventional approaches.

Patients and methods: 263 (Mage=69.8 (7.2); 64.6% female) individuals with cLBP participated in the parent study, a 3-arm, randomized clinical trial examining auricular point acupressure treatment outcomes. Parent study participants were randomized (1:1:1) to APA ear points targeted to cLBP (T-APA, n=92), non-targeted to cLBP (NT-APA, n=91), or education control (n=89). The current study used latent class analysis to identify clustering for pain severity …

Explainable Diagnosis Prediction Through Neuro-Symbolic Integration, Qiuhao Lu, Rui Li, Elham Sagheb, Andrew Wen, Jinlian Wang, Liwei Wang, Jungwei W Fan, Hongfang Liu

Faculty, Staff and Student Publications

Diagnosis prediction is a critical task in healthcare, where timely and accurate identification of medical conditions can significantly impact patient outcomes. Traditional machine learning and deep learning models have achieved notable success in this domain but often lack interpretability which is a crucial requirement in clinical settings. In this study, we explore the use of neuro-symbolic methods, specifically Logical Neural Networks (LNNs), to develop explainable models for diagnosis prediction. Essentially, we design and implement LNN-based models that integrate domain-specific knowledge through logical rules with learnable weights and thresholds. Our models, particularly Mmulti-pathway and Mcomprehensive, demonstrate superior performance over traditional models …

Rank Aggregation Methods And Tools In Genomic Data Analysis, Wenping Zou, Savannah Mwesigwa, Sayed-Rzgar Hosseini, Zhongming Zhao

Faculty, Staff and Student Publications

Rank aggregation (RA) is the process of consolidating disparate rankings into a single unified ranking. It holds immense potential in the field of genomics. RA has applications in diverse research areas, such as gene expression analysis, meta-analysis, gene prioritization, and biomarker discovery. However, there are many challenges in the application of the RA approach to biological data, such as dealing with heterogeneous data sources, rankings of mixed quality, and evaluating the consolidated rankings. In this review, we present an overview of the existing RA methods with an emphasis on those that have been tailored to the complexities of genomics research. …

Session Introduction: Translating Big Data Imaging Genomics Findings To The Individual: Prediction Of Risks And Outcomes In Neuropsychiatric Illnesses, Peter Kochunov, Li Shen, Zhongming Zhao, Paul M Thompson

Faculty, Staff and Student Publications

This PSB 2025 session is focused on opportunities, challenges and solutions for translating Big Data Imaging Genomic findings toward powering decision making in personalized medicine and guiding individual clinical decisions. It combines many of the scientific directions that are of interest to PSB members including Big Data analyses, pattern recognition, machine learning and AI, electronic health records and others.

Temporal Ensemble Logic For Integrative Representation Of The Entirety Of Clinical Trials, Xiaojin Li, Yan Huang, Rashmie Abeysinghe, Zenan Sun, Hongyu Chen, Pengze Li, Xing He, Shiqiang Tao, Cui Tao, Jiang Bian, Licong Cui, Guo-Qiang Zhang

Faculty, Staff and Student Publications

Clinical trials are typically specified with protocols that define eligibility criteria, treatment regimens, follow-up schedules, and outcome assessments. Temporality is a hallmark of all clinical trials, reflected within and across trial components, with complex dependencies unfolding across multiple time points. Despite their importance, clinical trial protocols are described in free-text format, limiting their semantic precision and the ability to support automated reasoning, leverage data across studies and sites, or simulate trial execution under varying assumptions using Real-World Data. This paper introduces a formalized representation of clinical trials using Temporal Ensemble Logic (TEL). TEL incorporates metricized modal operators, such as “always …

Introducing Advances In Health Information Science And Practice, Susan Fenton

Faculty, Staff and Student Publications

No abstract provided.

Deep Brain Stimulation Of The Medial Forebrain Bundle: Effects On Anhedonia And Behavioral Activation In Treatment-Resistant Depression, Andrea Boscutti, Bashar Asir, Isabela Moura, Albert Fenoy, João Quevedo, Jair C Soares

Faculty, Staff and Student Publications

No abstract provided.

Non-Invasive Measurement Of Elasticity In Glioblastoma Multiforme Validates Decreased Tmz Sensitivity In Astrocyte Co-Culture, Megan Mendieta, Maryam Hatami, Manmohan Singh, Sajedeh Saeidi Fard, Mohammad Dehshiri, Alexander Schill, Dmitry Nevozhay, Salavat Aglyamov, Bulent Ozpolat, Konstantin V Sokolov, Yasemin M Akay, Kirill V Larin, Metin Akay

Faculty, Staff and Student Publications

Goal: In this research, we investigated the changes in elasticity of in vitro glioblastoma multiforme (GBM) spheroids when treated with the gold standard chemotherapy for GBM, Temozolomide (TMZ). Additionally, we aimed to use this alternative biomarker to assess how modifying the tumor microenvironment (TME) with the addition of human astrocytes (HA) would influence treatment efficacy. Methods: Spheroid stiffness was investigated using advanced non-invasive optical techniques, nanobomb optical coherence elastography (nb-OCE) and Brillouin microscopy to obtain new biomechanical insights by assessing local tumor progression or response to therapy using GBM cells (LN229). Results: The treated monocultured GBM groups showed a significant …

Examining The Presence And Effects Of Coherence And Fragmentation In The Gulf Of Maine Fishery Management Network, Derek Katznelson, Antonia Sohns, Dongkyu Kim, Evelyn Roozee, William R Donner, Andrew M Song, Jasper R De Vries, Owen Temby, Gordon M Hickey

Faculty, Staff and Student Publications

Natural resource management networks cohere due to mutual dependencies and fragment, in part, due to the perceived risks of interaction. However, research on these networks has tended to accept coherence a priori rather than problematizing dependence, and few studies exist on interorganizational risk perception. This article presents the results of a study operationalizing these concepts and measuring the distribution of three types of dependence (capital, legitimacy, and regulatory) and two types of perceived risk (performance and sanction) among nearly fifty stakeholder groups and organizations participating in the management of fisheries in the binational Gulf of Maine. The analysis reveals an …

Comparative Efficacy Of Fluoroscopically Guided Vs Landmark-Based Injections In The Management Of Ischial Bursitis: A Pilot Study, Jamal Hasoon, Giustino Varrassi, Omar Viswanath

Faculty, Staff and Student Publications

Introduction: Ischial bursitis is a challenging chronic pain condition often resistant to conservative treatments. Ischial bursa injections, including fluoroscopically guided and landmark-based approaches, are commonly used when first-line interventions fail. This study aims to compare the efficacy of these two techniques in providing pain relief and improving function in patients with refractory ischial bursitis.

Methods: A retrospective analysis was conducted using electronic medical records of nine patients with refractory ischial bursitis treated between April 1, 2023, and November 30, 2024. Patients were categorized based on the injection technique: fluoroscopically guided (n=4) or landmark-based (n=5). Pain relief was assessed at follow-up …

Nrg Oncology White Paper On The Relative Biological Effectiveness In Proton Therapy, Harald Paganetti, Charles B Simone, Walter R Bosch, Daphne Haas-Kogan, David G Kirsch, Heng Li, Xiaoying Liang, Wei Liu, Anita Mahajan, Michael D Story, Paige A Taylor, Henning Willers, Ying Xiao, Jeffrey C Buchsbaum

Faculty, Staff and Student Publications

This position paper, led by the NRG Oncology Particle Therapy Work Group, focuses on the concept of relative biologic effect (RBE) in clinical proton therapy (PT), with the goal of providing recommendations for the next-generation clinical trials with PT on the best practice of investigating and using RBE, which could deviate from the current standard proton RBE value of 1.1 relative to photons. In part 1, current clinical utilization and practice are reviewed, giving the context and history of RBE. Evidence for variation in RBE is presented along with the concept of linear energy transfer (LET). The intertwined nature of …

Advanced Method For The In Vivo Measurements Of Lysophospholipid Translocation Across The Inner (Cytoplasmic) Membrane Of Escherichia Coli, Yibin Lin, Lei Zheng, Mikhail Bogdanov

Faculty, Staff and Student Publications

Phospholipid translocation occurs ubiquitously in biological membranes and primarily is protein catalyzed. Lipid flippases mediate the net translocation of specific phospholipids from one leaflet of a membrane to the other. In the inner (cytoplasmic) membrane (IM) of Gram-negative bacteria, lysophospholipid translocase (LplT) and cytosolic bifunctional acyl-acyl carrier protein (ACP) synthetase/2-acylglycerolphosphoethanolamine acyltransferase (Aas) form a glycerophospholipid regeneration system, which is capable of facilitating rapid retrograde translocation of lyso forms of phosphatidylethanolamine (PE), phosphatidylglycerol (PG), and cardiolipin (CL) but not exogenous (host-derived) phosphatidylcholine (PC) across the IM of Gram-negative diderm (two-membraned) bacteria in consequential order lyso-PE = lyso-PG > > lysophosphatidic acid (lyso-PA) >> lyso-PC. …

Efficacy And Safety Of Once-Daily Roflumilast Cream 005% In Pediatric Patients Aged 2-5 Years With Mild-To-Moderate Atopic Dermatitis (Integument-Ped): A Phase 3 Randomized Controlled Trial, Lawrence F Eichenfield, Rocco Serrao, Vimal H Prajapati, John C Browning, Lisa Swanson, Tracy Funk, Mercedes E Gonzalez, Adelaide A Hebert, Mark Lee, Mark Boguniewicz, Eric L Simpson, Melissa S Seal, David Krupa, Diane Hanna, Scott Snyder, Patrick Burnett, David H Chu, Erin Almaraz, Robert C Higham, David R Berk

Faculty, Staff and Student Publications

Background/objectives: Efficacy and safety of roflumilast cream 0.15% were demonstrated in patients aged ≥ 6 years with atopic dermatitis (AD) in two Phase 3 trials. This Phase 3 parallel-group, double-blind trial (INTEGUMENT-PED; NCT04845620) compared the efficacy and safety of roflumilast cream 0.05% and a vehicle in patients aged 2-5 years with AD.

Methods: Patients aged 2-5 years with mild-to-moderate AD were treated with once-daily roflumilast cream 0.05% or vehicle for 4 weeks. The primary efficacy endpoint was Validated Investigator Global Assessment for AD (vIGA-AD) Success (0 [Clear] or 1 [Almost Clear] plus ≥ 2-grade improvement from baseline) at Week …

Administration Of Anti-Gfap Antibodies Increases Cgrp Expression And Increases Pain Hypersensitivity In Spinal Cord Injured Animals, Georgene W Hergenroeder, Samuel T Molina, Juan J Herrera

Faculty, Staff and Student Publications

Background: Spinal cord injury (SCI) results in a multitude of cellular and pathological changes including neuronal loss, axonal damage, gliosis, and loss of motor and sensory function. In 40%-70% of patients, SCI can also trigger the development of neuropathic pain. Our previous study demonstrated that SCI patients who developed autoantibodies to glial fibrillary acidic protein (GFAP) were at increased risk for the subsequent development of neuropathic pain. However, whether GFAP autoantibodies (GFAPab) contribute to the development of neuropathic pain after SCI had yet to be examined.

Objective: Using a mid-thoracic contusion model of SCI in male Sprague-Dawley rats, we examined …

Editorial: Ovarian Cancer Targeted Medication: Parp Inhibitors, Anti-Angiogenic Drugs, Immunotherapy, And More, Volume Ii, Zhi-Bin Wang, De-Hua Liao, Guang Lei, Zhao-Qian Liu, Nayiyuan Wu, Jing Wang

Faculty, Staff and Student Publications

No abstract provided.

Individualized Frequency And Montage Tacs To Engage Theta-Gamma Coupling And Enhance Working Memory In Mild Cognitive Impairment, Mina Mirjalili, Iryna S Palamarchuk, Heather Brooks, Reza Zomorrodi, Ashley Melichercik, Wei Wang, Sean M Nestor, Daniel M Blumberger, Abhishek Datta, Christopher Bowie, Bernadette Mdawar, Kullervo Hynynen, Sanjeev Kumar, Tarek K Rajji

Faculty, Staff and Student Publications

Mild Cognitive Impairment (MCI) is a clinical prodromal stage of Alzheimer's disease. Enhancing executive functions in patients with MCI could optimize cognitive compensatory mechanisms and slow cognitive decline. The prefrontal cortex (PFC) and its connections to the hippocampus support executive functions, including working memory. Transcranial alternating current stimulation (tACS) can modulate these connections by engaging theta-gamma coupling (TGC) and may thereby strengthen working memory. This study, "tACS to engage theta-gamma coupling and enhance working memory in MCI" (tACS-MCI), will assess the feasibility and cognitive effects of EEG and MRI-guided individualized tACS. The stimulation will target the prefrontal and temporal cortices …

Comprehensive Genomic Analysis Reveals Molecular Heterogeneity In Pediatric Alk-Positive Anaplastic Large Cell Lymphoma, Timothy I Shaw, Stanley Pounds, Xueyuan Cao, Jing Ma, Gustavo Palacios, John Mason, Sherrie Perkins, Gang Wu, Yiping Fan, Jian Wang, Xin Zhou, Alyssa Obermayer, Marsha C Kinney, Jacqueline Kraveka, Thomas Gross, John Sandlund, Jinghui Zhang, Charles Mullighan, Megan S Lim, Vasiliki Leventaki

Faculty, Staff and Student Publications

Anaplastic large cell lymphoma (ALCL) is a mature T-cell lymphoma that accounts for 10-15% of childhood lymphomas. Despite the observation that more than 90% of pediatric cases harbor the anaplastic lymphoma kinase (ALK) rearrangement resulting in aberrant ALK kinase expression, there is significant clinical, morphologic, and biological heterogeneity. To gain insights into the genomic aberrations and molecular heterogeneity within ALK-positive ALCL (ALK+ ALCL), we analyzed 46 pediatric ALK+ ALCLs by whole-exome sequencing, RNA sequencing, and DNA methylation profiling. Whole-exome sequencing found on average 25 SNV/Indel events per sample with recurring genetic events in regulators of DNA damage (TP53, MDM4), transcription …