Digital Commons Network^™

Bet Inhibitor-Based Combinations Targeting Novel Dependencies In Mecom-Rearranged (R) Aml, Christine E Birdwell, Warren Fiskus, Christopher P Mill, Tapan M Kadia, Naval Daver, Courtney D Dinardo, Koji Sasaki, John A Davis, Kaberi Das, Hanxi Hou, Antrix Jain, Anna Malovannaya, Lauren B Flores, Rasoul Pourebrahim, Selina Yuan, Xiaoping Su, Michele Ceribelli, Kapil N Bhalla

Faculty, Staff and Student Publications

MECOM rearrangement in AML involves either inv(3)(q21;q26.2) or t(3;3)(q21;q26.2), where the dislocated GATA2 enhancer drives overexpression of the transcriptional regulator EVI1, causes concomitant GATA2 repression, and promotes AML progression, aggressive phenotype and therapy refractoriness. Treatment with BET protein inhibitor (BETi) induces in vitro and in vivo efficacy in MECOM-r AML cells. Utilizing an unbiased, high-throughput drug screen, focused on mechanistically-annotated drugs, we identified BRD4, PIK3CA, mTOR, BCL-xL and XIAP as dependencies in the MECOM-r AML cells. Monotherapy with mivebresib (BETi), dactolisib (PI3K/mTORi) and LCL161 (IAPi) dose-dependently induced greater lethality in PD MECOM-r versus non-MECOM-r AML cells. RNA-Seq and/or mass spectrometry …

Circulating Fatty Acid Binding Protein 4 (Fabp-4) Concentrations And Mortality In Individuals With Colorectal Cancer In The European Prospective Investigation Into Cancer And Nutrition Study, Thu Thi Pham, Katharina Nimptsch, Krasimira Aleksandrova, Mazda Jenab, Veronika Fedirko, Anja Olsen, Anne Tjønneland, Claire Cadeau, Gianluca Severi, Matthias B Schulze, Renée Turzanski Fortner, Verena Katzke, Claudia Agnoli, Carlotta Sacerdote, Rosario Tumino, Simona Signoriello, Camino Trobajo-Sanmartín, Jesús-Humberto Gómez, María-Dolores Chirlaque, Maria-Jose Sánchez, Marta Crous-Bou, Anne May, Alicia Heath, Dagfinn Aune, Elisabete Weiderpass, Tobias Pischon

Faculty, Staff and Student Publications

Human fatty acid binding protein‐4 (FABP‐4), a protein elevated in obesity that promotes colon cancer cell invasiveness and metastasis, may be associated with higher mortality in individuals with colorectal cancer (CRC) and may serve as a mediator of the obesity–mortality association in these individuals. We used a causal diagram to inform covariate selection and applied Cox proportional hazards models to estimate hazard ratios (HRs) for CRC‐specific, non‐CRC‐specific, and all‐cause mortality by FABP‐4 levels measured in baseline blood samples from 1371 incident CRC cases from the European Prospective Investigation into Cancer and Nutrition cohort. Competing risk analyses were adapted for CRC …

Hypoglossal Neuropathy In The Pathogenesis Of Fibrosis-Related Late-Radiation Associated Dysphagia: A Correlative Analysis Utilizing Electromyography To Explore The Frequency Of Clinical And Subclinical Neuropathy In A Pilot Dysphagia Trial, Holly Mcmillan, Christine Okoro, Sheila Buoy, Karin Woodman, Nicolaas Anderson, Clifton Fuller, Stephen Y Lai, Katherine Hutcheson

Faculty, Staff and Student Publications

Background: Late radiation-associated dysphagia (late-RAD) commonly presents in patients with signs of hypoglossal neuropathy, with hallmark clinical features including lingual atrophy, deviation, and fasciculation. Gold-standard electromyography (EMG) has not been used to explore the frequency of hypoglossal neuropathy in patients with late-RAD.

Methods: Exploratory post hoc secondary analysis of MANTLE trial (NCT03612531) was completed. The presence of cranial nerve XII (CN XII) neuropathy was classified by (1) features of clinical assessment as well as (2) intramuscular genioglossus EMG pre-MANTLE intervention in disease-free HNC survivors ≥ 2 years post-radiotherapy (RT) with grade ≥ 2 fibrosis and dysphagia.

Results: All …

Impact Of Treatment Interruption On Outcomes In Head And Neck Cancer: Nrg/Rtog Secondary Analysis, Laila A Gharzai, Emily Morris, Matthew J Schipper, Kelley M Kidwell, Phuc Felix Nguyen-Tân, David I Rosenthal, Maura L Gillison, Richard C Jordan, Adam S Garden, Shlomo A Koyfman, Jimmy J Caudell, Dukagjin M Blakaj, Neal E Dunlap, Greg A Krempl, John M Longo, Christopher U Jones, Michael F Gensheimer, Thomas J Galloway, Lyudmila Demora, Quynh-Thu Le, Jennifer L Shah, Krithika Suresh, Michelle Mierzwa

Faculty, Staff and Student Publications

Importance: Historical evidence demonstrated that delays or interruptions in radiotherapy (RT) are associated with poorer oncologic outcomes in head and neck squamous cell carcinoma (HNSCC). Substantial concerns arose during the COVID-19 pandemic, when treatment schedules were frequently disrupted.

Objective: To determine the association of RT interruptions with locoregional failure (LRF) and overall survival (OS).

Design, setting, and participants: This retrospective review and secondary analysis of 3 randomized clinical trials (NRG/RTOG 0129, 0522, and 1016) included patients enrolled in the trials who were treated with RT. Patients with HNSCC were grouped as (1) p16-positive oropharynx (p16+ OPSCC) and (2) p16-negative oropharynx …

Identification Of Raptor And Gli1 As Usp37 Substrates Highlight Its Context-Specific Function In Medulloblastoma Cells, Ashutosh Singh, Donghang Cheng, Amanda R Haltom, Yanwen Yang, Tara Dobson, Rashieda Hatcher, Veena Rajaram, Vidya Gopalakrishnan

Faculty, Staff and Student Publications

The USP37 gene encodes a deubiquitylase (DUB), which catalyzes the proteolytic removal of ubiquitin moieties from proteins to modulate their stability, cellular localization or activity. Its expression is downregulated in a subgroup of medulloblastomas driven by constitutive activation of sonic hedgehog (SHH) signaling. Patients with SHH-driven medulloblastomas with elevated expression of the RE1 silencing transcription factor (REST) and reduced expression of USP37 have poor outcomes. In previous studies, we showed sustained proliferation of SHH-medulloblastoma cells due to blockade of terminal cell cycle exit and neuronal differentiation stemming from a failure in USP37-dependent stabilization of its target, the cyclin-dependent kinase inhibitor …

A Step-By-Step Guide To Performing Cancer Metabolism Research Using Custom-Made Media, Sophie Seifert, Francisco Yanqui-Rivera, Tim Kühn, Lena Elise Høyland, Toman Borteçen, Bella Agranovich, Lara Elea Eckhardt, Martin Herdt, Alessa Henneberg, Verena Panitz, Faisal Hayat, Marie Migaud, Gernot Poschet, Ifat Abramovich, Eyal Gottlieb, Jeroen Krijgsveld, Mathias Ziegler, Mirja Tamara Prentzell, Christiane A Opitz

Faculty, Staff and Student Publications

The preparation of custom-made media offers precise control over nutrient composition, enabling detailed studies of cellular metabolism. We demonstrate how self-made media formulations enable diverse assay designs and readouts to assess cancer metabolism. Self-made media can be used in Seahorse assays to measure mitochondrial respiration under defined conditions. In nutrient deprivation experiments, amino acid or vitamin removal can uncover how cancer cells adapt to metabolic stress. Using labeled amino acids enables analysis of nascent protein synthesis and translational regulation, while stable-isotope tracing reveals metabolic fluxes through key pathways. This guide presents a suite of metabolic assays using custom-made media, covering …

Sleep-Disordered Breathing In Newborns After Myelomeningocele Repair, Renée A Shellhaas, Fauziya Hassan, Thornton A Mason, Jagruti Anadkat, Ellen Bendel-Stenzel, Stephanie Eyerly-Webb, Cindy K Jon, Robin M Lloyd, Julie S Moldenhauer, Ramesha Papanna, John E Pascoe, Stefanie Riddle, Regina Reynolds, Brandon G Rocque, Narong Simakajornboon, Marjorie C Treadwell, R Bradley Troxler, Lydia S Youmans, Niko A Kaciroti, Harlan Mccaffery, Hemant A Parmar, Lora Merley, Stephanie Md Rau, Ronald D Chervin, John D E Barks

Faculty, Staff and Student Publications

Background & objective: Sleep-disordered breathing (SDB) may be a remediable contributor to abnormal cognitive outcomes for children with myelomeningocele. We investigated the frequency of SDB among neonates with fetal vs postnatal myelomeningocele repair.

Methods: In this nine-center, prospective, observational study, neonates with myelomeningocele born at more than 30 weeks gestational age underwent a 10-hour bedside polysomnogram at at least 35 weeks postmenstrual age, before hospital discharge. The primary outcome was SDB severity, reflected by the apnea-hypopnea index (AHI; number of respiratory events per hour of sleep). Decisions regarding surgical timing (fetal vs postnatal), technique (open fetal vs fetoscopic approach), and …

Bayesian Posthoc Trial Analysis Of Cerclage Management In Preterm Prelabor Rupture Of The Membranes, Beth L Pineles, Kyung Hyun Lee, Baha M Sibai

Faculty, Staff and Student Publications

Background: There is inadequate evidence on whether to retain or remove a cervical cerclage after preterm prelabor rupture of the membranes (PPROM). The PROMCerclage trial was the only study to randomize patients to cerclage retention or immediate cerclage removal after PPROM. The trial was terminated early, and results were not statistically significant but the cerclage retention group had shorter latency and more chorioamnionitis. Bayesian post-hoc trial analysis maximizes available clinical trial data by formally integrating information from preexisting studies or prior beliefs into statistical modeling to estimate the probability of a treatment effect.

Objective: To re-analyze published results of the …

Circulating Metabolites, Genetics And Lifestyle Factors In Relation To Future Risk Of Type 2 Diabetes, Jun Li, Jie Hu, Huan Yun, Zhendong Mei, Xingyan Wang, Kai Luo, Marta Guasch-Ferré, Xikun Han, Buu Truong, Jordi Merino, Chengyong Jia, Miguel Ruiz-Canela, Casey M Rebholz, Eun Hye Moon, Taryn Alkis, Guning Liu, Jie Yao, Xiyuan Zhang, Bianca C Porneala, Jordi Salas-Salvadó, Thomas J Wang, Josée Dupuis, Elizabeth Selvin, Xiuqing Guo, Shilpa N Bhupathiraju, Jennifer A Brody, Yongmei Liu, Alexis C Wood, Kari E North, Su Yon Jung, Ching-Ti Liu, Nona Sotoodehnia, Simin Liu, Lesley F Tinker, A Heather Eliassen, Joann E Manson, Jose C Florez, Robert E Gerszten, Clary B Clish, Liming Liang, Rozenn N Lemaitre, Katherine L Tucker, Stephen S Rich, Jerome I Rotter, Miguel Angel Martínez-González, Kathryn M Rexrode, James B Meigs, Eric Boerwinkle, Robert C Kaplan, Frank B Hu, Bing Yu, Qibin Qi

Faculty, Staff and Student Publications

The human metabolome reflects complex metabolic states affected by genetic and environmental factors. However, metabolites associated with type 2 diabetes (T2D) risk and their determinants remain insufficiently characterized. Here we integrated blood metabolomic, genomic and lifestyle data from up to 23,634 initially T2D-free participants from ten cohorts. Of 469 metabolites examined, 235 were associated with incident T2D during up to 26 years of follow-up, including 67 associations not previously reported across bile acid, lipid, carnitine, urea cycle and arginine/proline, glycine and histidine pathways. Further genetic analyses linked these metabolites to signaling pathways and clinical traits central to T2D pathophysiology, including …

Acta2 Pathogenic Variants Activating Heat Shock Factor 1 And Increasing Cholesterol Biosynthesis In Smooth Muscle Cells Predispose To Early Onset Atherosclerosis, Maura L Boerio, Abhijnan Chattopadhyay, Xue-Yan Duan, Aamuktha Karla, Ernesto Calderon Martinez, Amelie Pinard, Andrew K Morse, Darshan Reddy, Sree Dharma, Walter Velasco-Torrez, Julien Marcadier, Siddharth K Prakash, Sherene Shalhub, Julie De Backer, Richmond Jeremy, Shaine A Morris, Anji T Yetman, Alan C Braverman, Dianna M Milewicz

Faculty, Staff and Student Publications

Background: ACTA2 pathogenic variants predispose to thoracic aortic disease, and a subset of variants lead to early onset atherosclerotic cardiovascular disease (ASCVD). The molecular pathway linking misfolded SMA (α-smooth muscle actin) monomers to augmented atherosclerosis-associated smooth muscle cell phenotypic modulation can be modeled in vitro by stably expressing the ACTA2 p.R149C variant in Acta2-/- smooth muscle cells.

Methods: The Montalcino Aortic Consortium patient registry was used to identify cases with ACTA2 pathogenic/likely pathogenic missense variants. These patients were surveyed, and medical records were reviewed, to identify cases with early onset ASCVD. The variants for these cases, as well as …

Quantitative Analysis Of Robustness-Based Versus Let-Based Optimization In Intensity-Modulated Proton Therapy For Pediatric Brain Tumors, Fariha Kabir Torsha, Gino Lim, Hadis Moazami Goudarzi, Radhe Mohan, David Grosshans, Wenhua Cao

Faculty, Staff and Student Publications

Purpose: To perform a quantitative analysis of the trade-off between robustness-based and linear energy transfer (LET)-based optimization of intensity-modulated proton therapy for anatomically challenging pediatric brain tumor cases.

Methods: Three pediatric brain tumor patients were included in this study. Three plans were generated for each case based on: (1) nominal optimization, without considering uncertainties and LET; (2) robust optimization, including proton range and patient setup uncertainties; and (3) LET optimization, considering increasing LET in the target and reducing LET in normal tissues. All plans were optimized with individually fine-tuned objective weighing to obtain highest achievable target coverage and meet dose …

The American College Of Radiology Diagnostic Fluoroscopy Dose Index Registry Pilot: Dosimetric Performance And Benchmarking Challenges, Steve D Mann, Donald L Miller, Grant Fong, Allen R Goode, Emily L Marshall, Thomas Nishino, Pavlina Boxx, Liqiang Ren, Celalettin Topbas, Alan H Schoenfeld, Vivek Singh, Jie Zhang

Faculty, Staff and Student Publications

Background: The ACR Diagnostic Fluoroscopy Dose Index Registry (DIR-Fluoro) is expanding to include diagnostic fluoroscopy. Variations in dose reference points and overhead radiography events may introduce unique challenges for benchmarking.

Purpose: To survey the technological status and dosimetric performance of fluoroscopes participating in the DIR-Fluoro pilot project, focusing on longitudinal stability and variability of fluoroscopic dose reporting accuracy across multiple institutions and vendors.

Methods: Sixty-six fluoroscopic systems from nine institutions (24 facilities) were surveyed for facility type, fluoroscope type, image receptor type, age, dose reporting capabilities, and other key features. Of these, 56 were evaluable. Semi-annual measurements assessed reference air …

Convolutional Neural Networks For Automatic Tuber Segmentation And Quantification Of Tuber Burden In Tuberous Sclerosis Complex, Iván Sánchez Fernández, Matheus D Soldatelli, Gillian N Miller, Catharina F Gout, Ellen C Broekhuizen, Iris C J Den Hertog, Daan A Pijs, Errol Apostolopoulos, Prabhjot Kaur, Abdelhakim Ouaalam, Martina E Bebin, Hope Northrup, Darcy A Krueger, Joyce Y Wu, Alexander L Cohen, Mustafa Sahin, Davood Karimi, Simon K Warfield, Jurriaan M Peters

Faculty, Staff and Student Publications

Objective: This study was undertaken to develop a fully automated algorithm for tuber segmentation and quantification of tuber volume that performs similarly to the gold standard human neuroradiologist.

Methods: We used brain magnetic resonance imaging (MRI) from patients with tuberous sclerosis complex (TSC) to train and validate a convolutional neural network (CNN), which was evaluated on segmentation with the Dice-Sørensen similarity coefficient (DSSC) and on tuber burden quantification with Spearman correlation coefficient against a neuroradiologist's gold standard in the test set.

Results: We collected 263 MRIs from 196 patients (57% males) with median (25th percentile-75th percentile) age of 4.3 (3.0-10.1) …

Apea: A Type 1 Diabetes Self-Management Ambient-Ai Assistance Tool That Bridges Trajectory Prediction, Interactive Explanation, And Just-In-Time Adaptive Intervention Action., Kun-Yi Chen, Erin M. Tallon, Chi-Ren Shyu

Manuscripts, Articles, Book Chapters and Other Papers

Helping patients self-managing diseases like type 1 diabetes (T1D) requires informatics tools delivering real-time predictions with explainable, actionable guidance. However, many healthcare AI solutions lack actionable recommendations and user-friendly explanations, limiting clinical impacts. We introduce APEA, a pediatric T1D self-management Ambient-AI assistance tool, integrating glucose multi-trajectory-scenarios Prediction, interactive, context-aware large language model Explanations, and just-in-time adaptive intervention policy optimization for Actionable real-time suggestions through reinforcement learning. Using T1DEXIP dataset (262 pediatric T1D patients, multi-center), our results showed improved glucose control outcomes: 45% over human management, 69% over infusion-pump management. Although constrained by small sample size and …

Presenilin L166p Mutation, A Model Of Familial Alzheimer's Disease, Leads To Early Onset Bone Loss, Vidyani Suryadevara, Connor J Krehbial, Anuradha K Valiya, Melinda Vang, Julian Balanta-Melo, Pierre P Eleniste, Sumana Posritong, Jung Min Hong, Katie Chester, Gabriel M Pagnotti, Teresita Bellido, Monte S Willis, Angela Bruzzaniti

Faculty, Staff and Student Publications

Accelerated bone loss has been reported in the early stages of Alzheimer's disease (AD) as indicated by reduced bone mineral density and increased fracture risk in these patients, compared to healthy individuals. In the present study, we investigated bone loss in mouse models of familial Alzheimer's disease harboring the Presenilin 1 (L166P) knock-in mutation (PSEN1 KI), with or without the human amyloid precursor protein transgene (hAPP Tg+) known to induce brain amyloid pathology by 6 months. Female and not male 12-month PSEN1/hAPP Tg+ mice exhibited reduced whole-body bone mineral density and bone mineral content, compared to sex-matched controls. Consistent with …

Retrospective Analysis Of Cutaneous Immune-Related Adverse Events Following Checkpoint Inhibitor Therapy In Melanoma Patients Reveals Increased Risk Associated With The Hla-B*51:01 Allele, Mckenzie Dileo, Samantha Oglesby, Cheuk Hong Leung, Kristen E Pauken, Sahira Farooq, Lauren E Haydu, Shelby L Kubicki, Rebeca Martinez, Macartney Welborn, Sana Zahiruddin, Jun Zou, Kai Cao, Anisha B Patel

Faculty, Staff and Student Publications

Background: While immune checkpoint inhibitors (ICIs) have shown significant efficacy, a common side effect is cutaneous immune-related adverse events (irAEs). This study focuses on exploring the association between specific human leukocyte antigen (HLA) alleles and the development of cutaneous irAEs in melanoma patients undergoing ICI monotherapy and combination therapy. As certain HLA types are indicative of susceptibility to autoimmune diseases, it was hypothesized that HLA typing could serve as a potential screening tool for identifying patients at increased risk for developing irAEs.

Methods: A retrospective chart review was performed of 515 patients with melanoma who underwent ICI therapy, either as …

Prism-Xqtl: Pleiotropic Relationships Integrated With System-Level Multiomic Qtl Analysis For Causal Genes And Molecular Mediators In Alzheimer’S Disease, Nitesh Enduru, Zhongming Zhao

Faculty, Staff and Student Publications

Introduction: Most Alzheimer's disease (AD) risk variants identified by genome-wide association studies (GWAS) reside in noncoding regions, complicating causal interpretation.

Methods: We developed PRISM-xQTL (Pleiotropic Relationships Integrated with System-level Multiomic QTL), integrating pleiotropy, co-localization, Mendelian randomization, and mediation analyses across multiomic quantitative trait loci (QTLs; expression QTL [eQTL], methylation QTL [meQTL], splicing QTL [sQTL], proteomic [pQTL], single-cell [sc-eQTL]). Seventy pleiotropic single-nucleotide polymorphisms (SNPs) shared between AD and 11 immune disorders were analyzed. AlphaGenome assessed functional regulation, and The Alzheimer's Cell Atlas (TACA) database was used for drug-target relevance of FCER1G.

Results: Across 54 Genotype-Tissue Expression (GTEx) tissues, 410 SNP-gene-tissue co-localizations …

A Guide To Transcriptomic Deconvolution In Cancer, Yaoyi Dai, Shuai Guo, Yidan Pan, Carla Castignani, Matthew D Montierth, Peter Van Loo, Wenyi Wang

Faculty, Staff and Student Publications

Cancer tissues are heterogeneous mixtures of tumour, stromal and immune cells, where each component comprises multiple distinct cell types and/or states. Mapping this heterogeneity and understanding the unique contributions of each cell type to the tumour transcriptome is crucial for advancing cancer biology, yet high-throughput expression profiles from tumour tissues only represent combined signals from all cellular sources. Computational deconvolution of these mixed signals has emerged as a powerful approach to dissect both cellular composition and cell-type-specific expression patterns. Here, we provide a comprehensive guide to transcriptomic deconvolution, specifically tailored for cancer researchers, presenting a systematic framework for selecting and …

50k4life: A Smart Study Protocol To Improve Walking Engagement In Public School Employees On The Us-Mexico Border, Jennifer J Salinas, Susan W Buchholz, Zenong Yin, Jennifer L Gay, Jing Wang, Janani Rajbhandari-Thapa, Mark G Wilson, Erin Finley, Zuber Mulla, Elizabeth Ramirez, Deborah Parra Medina

Faculty, Staff and Student Publications

Introduction: Mexican Americans living in the U.S.-Mexico border region suffer disproportionately from preventable cardiometabolic and cancer diseases. Workplace health promotion programs that include physical activity promotion are promising strategies to address this public health problem to improve physical activity engagement. Workplace-based programs can increase moderate to vigorous physical activity (MVPA) engagement while addressing barriers associated with inactivity.

Methods: We plan to conduct a clustered Sequential Multiple Assignment Randomized Trial (SMART) to determine the effectiveness of a workplace walking challenge intervention - 50,000 for Life (50K4Life) - in improving brisk walking engagement (at least 7000 steps/day, representing approximately 50,000 steps/week) for …

Partial Laryngectomy For Thyroid Cancer: A Single Institution Case Series With Operative Techniques, Ella E Hawes, Victoria E Banuchi, Anastasios Maniakas, Jennifer R Wang, Paul H Graham, Julia D Diersing, Naifa L Busaidy, Maria E Cabanillas, Ramona Dadu, Sarah Hamidi, Priyanka Iyer, Steven G Waguespack, Salmaan Ahmed, Sahar Alizada, Alexandra Belcastro, Ranim Alsharif, Mimi I Hu, Mark E Zafereo

Faculty, Staff and Student Publications

Background: Partial laryngectomy has been well described as a management option for T1-3 laryngeal squamous cell cancers. However, there are a few case reports of partial laryngeal surgery for locally advanced thyroid carcinoma.

Methods: This is a case series of five patients with thyroid carcinoma (one primary and four recurrent) with laryngeal involvement who underwent partial laryngectomy.

Results: All patients had complete surgical resection without perioperative complications or postoperative speech or swallowing deficits, and none required a feeding tube or tracheostomy tube. No patients had postoperative radiation therapy or started systemic therapy within 2 years of surgery, while two patients …

Stimulated Cytokine Production, Attachment, And Emotional Well-Being In Dementia Spousal Caregivers, Daniel L Argueta, Sarah Roberts, Kelly N Brice, E Lydia Wu-Chung, Vincent D Lai, Jensine Paoletti-Hatcher, Bryan T Denny, Charles Green, Samantha Henry, Luis D Medina, Paul E Schulz, Jennifer Stinson, Cobi Heijnen, Christopher P Fagundes

Faculty, Staff and Student Publications

Background: Proinflammatory cytokine production may be related to poor emotional adjustment in dementia spousal caregivers. People who display attachment insecurity may be at increased risk for adverse caregiving experiences and poor psychosocial outcomes.

Objective: This study aimed to understand whether proinflammatory cytokine production was associated with anticipatory grief, caregiver burden, and depressive symptoms and whether those relationships were stronger for caregivers higher on attachment anxiety or avoidance.

Method: A sample of 103 dementia spousal caregivers provided self-report data on demographics, health information, and psychosocial outcomes. We also determined lipopolysaccharide-induced whole-blood interleukin-6, interleukin-1β, tumor necrosis factor-α, and interleukin-10 production and combined …

Cultural Influences On Camouflaging And Autistic Burnout: Examining The Experiences Of Latino Autistic Young Adults, Antonio F Pagán, Katherine A Loveland, Ron Acierno

Faculty, Staff and Student Publications

The present study explored the relationship between camouflaging, autistic burnout, and cultural factors in Latino young adults with autism spectrum disorder (ASD). While autistic burnout and camouflaging have been widely studied in general ASD populations, limited research has focused on Latino individuals, who may experience unique pressures due to cultural values such as collectivism, familism, and traditional gender roles. Participants (N = 56) from the ¡Iniciando! la Adultez therapy program completed measures assessing burnout, camouflaging, acculturation, and cultural values. Results indicate that participants reported moderate to high levels of autistic burnout, with the highest levels observed in heightened self-awareness …

Role Of Childhood Trauma In Interoception And Alexithymia In Schizophrenia, Samantha Narvaez, Krista Wisner, Alina Siatka, L Elliot Hong, Joshua Chiappelli

Faculty, Staff and Student Publications

Childhood trauma (CT) is a notable risk factor for schizophrenia. Separately, CT has been associated with alexithymia, referring to difficulties in identifying and describing one's own feelings, as well as disturbed interoception, referring to difficulties sensing and responding to signals that originate from within the body. Both self-perception impairments have been observed in schizophrenia; however, the role of CT in these observations in schizophrenia is unclear. To address this gap, interoception was assessed using the Multidimensional Assessment of Interoceptive Awareness (MAIA), alexithymia was assessed using the Toronto Alexithymia Scale (TAS-20), and CT was measured using the Childhood Trauma Questionnaire (CTQ) …

Cardiometabolic Parameter Change By Weight Regain On Tirzepatide Withdrawal In Adults With Obesity: A Post Hoc Analysis Of The Surmount-4 Trial, Deborah B Horn, Bruno Linetzky, Melanie J Davies, Luke J Laffin, Hui Wang, Madhumita A Murphy, Sarah Zimner-Rapuch, Eva Lau, Avigdor D Arad, Clare J Lee

Faculty, Staff and Student Publications

Importance: In the SURMOUNT-4 trial, most adults with obesity who had tirzepatide withdrawn following a 36-week treatment regained weight. The association between the degree of weight regain and cardiometabolic parameters after tirzepatide withdrawal is unknown.

Objective: To assess changes in cardiometabolic parameters by degree of weight regain after withdrawal of tirzepatide.

Design, setting, and participants: This post hoc analysis of the SURMOUNT-4 trial included tirzepatide-treated participants with 10% or greater weight reduction at week 36 initially randomized to placebo. Data were collected from March 2021 to May 2023, and data were analyzed from February 2024 to March 2025.

Interventions: After …

Cardiometabolic Indicators Of Cognitive Impairment In The Cameron County Hispanic Cohort, Fadi I Musfee, Seema Agarwal, Vahed Maroufy, Chelsea Liu, Joseph B Mccormick, Susan Fisher-Hoch, Sean I Savitz

Faculty, Staff and Student Publications

Background

Objective

Methods

Decellularized Extracellular Matrix Scaffolds To Engineer The Dormant Landscape Of Microscopic Colorectal Cancer Liver Metastasis, Sabrina N Vandenheuvel, Lucia L Nash, Abigail J Clevenger, Claudia A Collier, Oscar R Benavides, Sanjana Roy, Brinlee Goggans, Aelita Salikhova, Anvitha Tharakesh, Svasti Haricharan, Amber N Stratman, Scott Kopetz, Alex J Walsh, Shreya A Raghavan

Faculty, Staff and Student Publications

Recurrent liver-metastatic colorectal cancer contributes to high mortality. Recurrence occurs when dormant, microscopic residual disease survives initial treatment to escape dormancy. In their dormant, microscopic state within the liver, these metastatic lesions are undetectable by clinical diagnostic imaging until they form overt, chemoresistant metastases. Therefore, understanding the molecular mechanisms underlying dormancy in colorectal cancer liver metastases is a significant knowledge gap, motivating the engineering of nuanced in vitro models of disease. The current work presents an engineered model of liver-metastatic colorectal cancer dormancy. Decellularized extracellular matrix (dECM) scaffolds are used to provide microscopic colorectal cancer cell clusters with a biomimetic, …

Who Classification Of Skin Tumours: Key Updates In The Fifth Edition, Gabrielle Goldman-Lévy, Raymond Barnhill, Boris C Bastian, Werner Kempf, David Elder, Pedram Gerami, Wayne Grayson, Dmitry Kazakov, Daniela Massi, Jane Messina, Arnaud De La Fouchardière, Alexander J Lazar, Thomas Brenn, Brian Rous, Andrew Field, Anthony Gill, Jennelle C Hodge, Joseph D Khoury, Katia Leite, Shahin Sayed, Puay Hoon Tan, Rosalie Elenitsas, Eduardo Calonje, Lyn M Duncan, Liang Zhiyong, Holger Moch, Rajendra Singh, Harshima Wijesinghe, Ian Cree, Dilani Lokuhetty

Faculty, Staff and Student Publications

The 5th edition of the World Health Organization Classification of Tumours (WCT) serves as a foundation for global diagnostic standards in tumour pathology. Similar to other volumes in this series, the Skin Tumours (Skin5) edition follows a standardized approach. This edition introduces two new chapters: 'Tumours of the nail unit' and 'Metastases to skin', along with new entities across relevant chapters. This review article provides an overview of the updates in Skin5 based on currently published evidence, with emphasis on newly introduced chapters and newly described entities that involve the skin, in particular, epidermal, melanocytic and appendageal tumours.

A Comparative Study Of Statistical Methods For Identifying Differentially Expressed Genes In Spatial Transcriptomics, Yishan Wang, Chenxuan Zang, Ziyi Li, Charles C Guo, Dejian Lai, Peng Wei

Faculty, Staff and Student Publications

Spatial transcriptomics (ST) provides unprecedented insights into gene expression patterns while retaining spatial context, making it a valuable tool for understanding complex tissue architectures, such as those found in cancers. Seurat, by far the most popular tool for analyzing ST data, uses the Wilcoxon rank-sum test by default for differential expression analysis. However, as a nonparametric method that disregards spatial correlations, the Wilcoxon test can lead to inflated false positive rates and misleading findings. This limitation highlights the need for a more robust statistical approach that effectively incorporates spatial correlations. To this end, we propose a Generalized Estimating Equations (GEE) …

Melody: Mediation Analysis In Logistic Regression For High-Dimensional Mediators And A Binary Outcome, Sunyi Chi, Xingyu Li, Peng Wei, Xuelin Huang

Faculty, Staff and Student Publications

Mediation analysis is a pivotal tool for elucidating the indirect effect of an environmental factor or treatment on disease through potentially high‐dimensional omics data, such as gene expression profiles. However, traditional mediation analysis methods tailored for binary outcomes often rely on the rare disease assumption in logistic regression and provide inadequate measures of total mediation effect when multiple mediators have effects in different directions. In this paper, we develop a MEdiation analysis framework in LOgistic regression for high‐Dimensional mediators and a binarY outcome (MELODY). It leverages a second‐moment‐based measure analogous to the ��2 for linear models to quantify the total …

Physics-Informed Self-Supervised Diagnosis Of Rotating Machinery Using Latent Odes And Transformer Encoders, Md Al Amin, Mohammad Shafat Ahsan, Jannatul Maua, Mumtahina Ahmed, Kamruddin Nur

Student Publications [Scholarly]

This paper proposes a novel Physics-Informed Self-Supervised Diagnosis (PI-SSD) framework for rotating machinery fault detection, combining physical modeling, self-supervised representation learning, and uncertainty-aware classification. The architecture integrates a multi-resolution convolutional encoder, a windowed Transformer for temporal context modeling, and a latent neural ordinary differential equation (ODE) module that embeds mechanical priors, such as Jeffcott rotor dynamics, directly into the learning process. A masked segment reconstruction objective enables self-supervised pretraining using unlabeled healthy signals, while an evidential classifier head produces fault probabilities with calibrated uncertainty. We evaluate PI-SSD on two publicly available datasets, the NASA PHM’09 Gearbox dataset and the Aalto …