Medical Specialties Commons^™

Composite Mantle Cell Lymphoma And Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma: A Diagnostic And Therapeutic Challenge, Matthew T Ye, Yaling Yang, M James You

Faculty, Staff and Student Publications

No abstract provided.

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) …

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 …

Can Patients With Recurrent Or Primary Squamous Cell Carcinoma Of The Anus In A Previously Irradiated Pelvis Receive Definitive Reirradiation, Jordan Mcdonald, Ethan P Damron, Prajnan Das, Eugene J Koay, Ethan B Ludmir, Bruce D Minsky, Sonal S Noticewala, Grace L Smith, Craig Messick, Van K Morris, Emma B Holliday

Faculty, Staff and Student Publications

Purpose: Although salvage surgery is the standard of care for locoregionally recurrent anal cancer, few local options exist for inoperable pelvic recurrences. Newly diagnosed anal cancer arising in a previously irradiated field also provides a unique treatment challenge, as delivery of standard doses would result in unsafe cumulative dose to pelvic structures. We aimed to evaluate efficacy and toxicity of a hyperfractionated accelerated reirradiation (reRT) regimen for such patients.

Methods and materials: Patients treated with hyperfractionated accelerated reRT at a single institution between 2005 and 2024 for nonmetastatic inoperable locoregionally recurrent anal cancer or primary anal cancer in a previously …

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, …

Local Delivery Of Mir-27a* Using Ultrasound-Targeted Microbubble Cavitation Inhibits Squamous Cell Carcinoma Growth, Nikhil S Chari, Cheng Chen, Thiruganesh Ramasamy, Xucai Chen, Geetika Wadhwa, Anurag N Paranjape, Stephen Y Lai, Flordeliza S Villanueva

Faculty, Staff and Student Publications

Objective: Ultrasound-targeted microbubble (MB) cavitation (UTMC) is an image-guided therapeutic oligonucleotide delivery platform utilizing intravenously injected gas-filled ultrasound contrast agents, which carry the therapeutic on the MB shell. During transit of MBs in the microcirculation of target tissue, ultrasound causes MB oscillation, facilitating endocytosis-independent payload uptake within insonified cells. Here, we tested the hypothesis that UTMC-mediated miR-27a* delivery will reduce tumor growth rate and result in accumulation of miR-27a* within tumor cells and the tumor microenvironment.

Methods: We used UTMC to deliver miR-27a* to SCC-VII cells in vitro and in SCC-VII mouse tumor models. Pulsed ultrasound was delivered during intravenous …

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 …

Tumour-Brain Crosstalk Restrains Cancer Immunity Via A Sensory-Sympathetic Axis, Haohan K Wei, Chuyue D Yu, Bo Hu, Xing Zeng, Hiroshi Ichise, Liang Li, Yu Wang, Ruiqi L Wang, Ronald N Germain, Rui B Chang, Chengcheng Jin

Faculty, Staff and Student Publications

Body–brain communication has emerged as a key regulator of tissue homeostasis1–5. Solid tumours are innervated by different branches of the peripheral nervous system and increased tumour innervation is associated with poor cancer outcomes6–8. However, it remains unclear how the brain senses and responds to tumours in peripheral organs, and how tumour–brain communication influences cancer immunity. Here we identify a tumour–brain axis that promotes oncogenesis by establishing an immune-suppressive tumour microenvironment. Combining genetically engineered mouse models with neural tracing, tissue imaging and single-cell transcriptomics, we demonstrate that lung adenocarcinoma induces innervation and functional …

Investigation Of Teratogenic Concerns In The Coronavirus Disease Of 2019 Era, Kate Richardson, Emily C Daykin, Kathleen Shields, S Shahrukh Hashmi, Lorrie Harris-Sagaribay, Molly Daniels, Myla Ashfaq

Faculty, Staff and Student Publications

Background: MotherToBaby (MTB) is a teratogen information service that provides information about exposures during pregnancy and breastfeeding to the public and healthcare providers. During the Coronavirus Disease of 2019 (COVID-19) pandemic, MTB received an influx of queries regarding the teratogenicity of the virus and the vaccine. The purpose of this study was to assess the frequency and type of exposures asked about prior to the onset of the COVID-19 pandemic through March 2022 and to evaluate the demographics of individuals who made inquiries.

Methods: Data from MTB contacts (2018-2022) were accessed through a data-sharing agreement. The data were cleaned and …

Development And Implementation Of An Mri-Only Simulation, Planning, And Treatment Workflow For Prostate Radiotherapy Using Synthetic Ct On Mr-Linac, Reza Reiazi, Yao Ding, Sarath Vijayan, Jinzhong Yang, Ergys Subashi, Yao Zhao, Belinda M Lee, Hunter L Emory, Vi T Dinh, Greg L Swiedom, Jie Deng, Mu-Han Lin, Peter Balter, Rajat J Kudchadker, Elaine E Cha, Seungtaek Choi, Yusung Kim, Eun Young Han, Surendra Prajapati

Faculty, Staff and Student Publications

Purpose: We evaluated the feasibility of a magnetic resonance (MR)-only simulation, planning, and treatment (MROSPT) workflow for prostate cancer patients using synthetic computed tomography (sCT) generated from magnetic resonance imaging (MRI) data. By validating sCT-based dose calculations, we aimed to streamline radiotherapy workflows, eliminate the need for CT simulation, and enable reliable clinical implementation of MR-based radiotherapy for MR-linac (MRL).

Methods: We developed a comprehensive workflow encompassing the entire process from initial consultation to treatment delivery. After developing the workflow, a retrospective dosimetric validation study was performed on nine men with prostate cancer. They underwent CT and MRI simulations, and …

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

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 …

Evaluation Of Large Language Models As Decision Support Tools For Head And Neck Cancer Management: A Blinded Multidisciplinary Simulation Study, Sholem Hack, Ron J. Karni, Antonino Maniaci, Christopher E. Fundakowski, Luca Castellani, Fabiola Incandela, Remo Accorona, Miguel Mayo-Yanez, Martina Violati, Lorenzo Giannini, Niccolo' Mevio, Alberto Maria Saibene

Department of Otolaryngology - Head and Neck Surgery Faculty Papers

BACKGROUND: The management of head and neck cancer relies on multidisciplinary expertise; however, access to tumor boards remains variable. Large language models (LLMs) may support guideline-based decision-making, although performance in complex oncologic scenarios is not well defined.

METHODS: Fourteen synthetic cases based on real tumor board encounters were evaluated. Five blinded comparator arms produced recommendations: a human expert, Non-RAG-GPT-4, Non-RAG-GPT-5, RAG-GPT-4, and RAG-GPT-5. Eight head and neck oncologic surgeons scored each recommendation for appropriateness, clarity, specificity, and feasibility using 5-point Likert scales. Paired permutation testing and inter-rater reliability were assessed.

RESULTS: LLM outputs showed close alignment with expert recommendations. RAG-based …

Global Dose Prescription Variances Exemplified Through Oropharynx Cancer: When Is 70 Gray 70 Gray?, Christian Rønn Hansen, Tony Tadic, Manju Sharma, Gareth Price, Jens Petersen, Mohamed A Naser, Ying Xiao, Nataliya Kovalchuk, Pernille Lassen, Jens Overgaard, Lachlan Mcdowell, Prabhakar Ramachandran, Jun Won Kim, Clifton David Fuller, David J Thomson, Jørgen Johansen, Jeppe Friborg, Sue S Yom, Andrew Hope

Faculty, Staff and Student Publications

Purpose/objectives: Radiation therapy treatment planning hinges on a critical factor: the prescribed dose. Surprisingly, there is no consistent, standardized global approach to evaluating the dosimetry of this prescription across different centers treating head and neck cancer (HNC). This study aimed to quantify global dose variations for identical prescriptions across international centers treating oropharyngeal cancer, to establish the foundation for future outcome-based studies and improve consistency of interpretation worldwide.

Materials and methods: The study included patients with oropharyngeal cancer who were consecutively treated from 2017 onward with intensity-modulated radiation therapy or volumetric modulated arc therapy at 8 globally recognized radiation therapy …

High-Throughput Proteomic Profiling To Evaluate Differentiation Syndrome With Menin Inhibition, Miriam B Garcia, Bofei Wang, Irtiza Sheikh, Georgina El Hajjar, David Mccall, Cesar Nunez, Amber Gibson, Philip L Lorenzi, Ghayas C Issa, Branko Cuglievan, Hussein A Abbas

Faculty, Staff and Student Publications

High-throughput proteomic profiling provides a comprehensive analysis of systemic cancer effects and tumor microenvironment interactions. Characterizing soluble proteins driving inflammation in acute myeloid leukemia (AML) offers insight into inflammatory diseases like differentiation syndrome (DS) related to AML therapies like menin inhibitors. We present our application of NUcleic acid-Linked Immuno-Sandwich Assay (NULISA), a novel technology leveraging next-generation sequencing (NGS) for high-throughput, ultra-sensitive characterization of secreted inflammatory proteins in plasma or serum. Here we report its use to identify dynamic soluble protein changes during treatment and at the time of suspected DS in pediatric AML patients treated with the menin inhibitor revumenib …

Supercharging-Enhanced Ndia-Ms Enables Global Profiling Of Drug-Induced Proteome Solubility Shifts, Yun Xiong, Huimin Zhang, Lin Tan, Bo Wei, John N Weinstein, Philip L Lorenzi

Faculty, Staff and Student Publications

Mass spectrometry (MS) is indispensable for high-throughput quantitation of protein expression. But protein function is regulated by factors beyond abundance alone. Here, we evaluate two supercharging reagents, dimethyl sulfoxide (DMSO) and m-nitrobenzyl alcohol (mNBA), in narrow-window data-independent acquisition (nDIA)-MS. DMSO markedly enhances MS signal and protein identification, whereas mNBA primarily increases peptide identifications. Optimizating nDIA-MS with 3% DMSO boosts signal intensity by up to 56%, enabling identification of ~9,600 proteins from 1 µg HeLa digest in 15 min. Using this methodology, we quantify solubility and abundance changes in 8,694 proteins across three cell lines following short-term treatment with the proteasome …

Seipin Expression In Hepatocytes Impairs The Assembly Of Vldls And Exacerbates Steatohepatitis, Qianqian Dong, Yidan Ma, Xin Chen, Xiaowei Wang, Ziwei Liu, Chenxi Liang, Liwen Qiu, Jinye Tang, Jin Wu, Yang Liu, Xiaoqin Wu, Yaru Zhou, Mingming Gao, Hongyuan Yang

Faculty, Staff and Student Publications

VLDLs are crucial for maintaining liver and whole-body lipid homeostasis. Limited knowledge exists regarding the lipidation process of VLDL. Endoplasmic reticulum (ER) luminal lipid droplets (LLDs) have been suggested to provide lipids for VLDL lipidation and maturation. Seipin, an integral membrane protein of the ER, plays key roles in the formation of cytoplasmic LDs (CLDs) and adipocyte differentiation. Surprisingly, seipin is hardly detectable in hepatocytes. Given the critical contribution of seipin in forming CLDs, we hypothesize that the absence of seipin in hepatocytes might ensure the proper formation of LLDs and the lipidation and assembly of VLDLs. To explore the …

Downregulation Of Slc40a1 Leads To Iron Accumulation In Fibrotic Lung Fibroblasts, Quanjin Dang, Chaoqun Huang, Yurong Liang, Akshaya Surendran, Dharanya Muthiah, Kishore Vaddadi, Sankha Hewawasam, Tingting W Mills, Lin Liu

Faculty, Staff and Student Publications

Iron is an essential nutrient for almost all organisms. However, excess iron generates reactive oxygen species and causes tissue injuries. Iron is implicated in idiopathic pulmonary fibrosis (IPF). In this study, we examined iron accumulation in fibrotic lung fibroblasts and the underlying mechanisms. We hypothesize that the downregulation of Solute Carrier Family 40 Member 1 (SLC40A1) results in iron accumulation in lung fibroblasts of IPF patients. Using a Prussian Blue iron staining, we found that iron accumulated in the fibrotic region of the lungs from IPF patients and bleomycin- and asbestos-induced lung fibrosis mice. Iron was partially co-localized with the …

The Origin Of Hepatocellular Carcinoma Depends On Metabolic Zonation, Jason Guo, Roger Liang, Andrew Chung, Zhijie Li, Boyuan Li, Eric Chen, Lin Li, Jingjing Wang, Meng-Hsiung Hsieh, Ivy Xiangyi Fang, Benjamin Kroger, Yunguan Wang, Min Zhu, Xiongzhao Ren, Greg Mannino, Yuemeng Jia, Yonglong Wei, Stephen Moore, Daniel J Siegwart, Stephen S Chung, Zixi Wang, Tripti Sharma, Suman Komjeti, Yi Han, Purva Gopal, Guanghua Xiao, Tao Wang, Hao Zhu

Faculty, Staff and Student Publications

The origin of cancer is poorly understood because premalignant cells are rarely followed in their native environments. Although the spatial compartmentalization of metabolic functions is critical for proper liver function, it is unknown whether cancers arise from some zones but not others and whether there are metabolic determinants of cancer risk. Zone-specific, mosaic introduction of Ctnnb1 (catenin beta 1) and Arid2 (AT-rich interaction domain 2) mutations, commonly co-mutated genes in hepatocellular carcinoma (HCC), in mouse models showed that position and metabolic context determine clone fates. Ctnnb1/Arid2-driven cancers were much more likely to arise in zone 3. The …

The Cortico-Cortical And Subcortical Circuits Of The Human Brain Language Centers Including The Dual Limbic And Language Functioning Fiber Tracts, Arash Kamali, Nithya P Narayana, Anastasia Loiko, Anusha Gandhi, Paul E Schulz, Nitin Tandon, Manish N Shah, Vinodh A Kumar, Larry A Kramer, Jay-Jiguang Zhu, Haris Sair, Roy F Riascos, Khader M Hasan

Faculty, Staff and Student Publications

Background/Objectives: In recent years, MRI-based diffusion-weighted tractography techniques have uncovered additional white matter pathways that have significant roles in language processing and production. In this review, we aim to outline the major language centers of the brain and major language pathways along with association tracts that serve dual roles in both the language and limbic systems. According to the current dual-stream model of language processing, the brain's language network is organized into a dorsal stream, responsible for mapping sound to articulation, and a ventral stream, which maps sound to meaning.

Materials and Methods: The literature cited in this …

A Robust Convnext-Based Framework For Efficient, Generalizable, And Explainable Brain Tumor Classification On Mri, Kirti Pant, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Background: Accurate and dependable brain tumor classification from magnetic resonance imaging (MRI) is essential for clinical decision support, yet remains challenging due to inter-dataset variability, heterogeneous tumor appearances, and limited generalization of many deep learning models. Existing studies often rely on single-dataset evaluation, insufficient statistical validation, or lack interpretability, which restricts their clinical reliability and real-world deployment.

Methods: This study proposes a robust brain tumor classification framework based on the ConvNeXt Base architecture. The model is evaluated across three independent MRI datasets comprising four classes-glioma, meningioma, pituitary tumor, and no tumor. Performance is assessed using class-wise and aggregate metrics, including …

Mechanistic Insights Into The Antimicrobial Effect Of Benzodioxane-Benzamides Against Escherichia Coli, Lorenzo Suigo, Alessia Lanzini, Valentina Straniero, William Margolin

Faculty, Staff and Student Publications

Background/Objectives: The bacterial cell division machinery is emerging as an attractive target for antimicrobial compounds. FtsZ, a highly conserved essential division protein, is the target for a number of small molecules such as benzamides. Recent studies show that benzodioxane-benzamides (BDOBs) are among the most potent inhibitors of FtsZ function in Gram-positive bacteria, although their ability to inhibit Gram-negative FtsZ, in particular Escherichia coli FtsZ, has been more controversial.

Methods: Here, we use genetic and cytological methods to demonstrate that FtsZ of efflux pump-disabled E. coli can be efficiently targeted by BDOBs.

Results: We show that engineered mutants …

Targeting Interleukin-6 Trans-Signaling To Improve Post-Stroke Inflammation: A Precision Immunotherapy Perspective, Kate Mendoza, Dustin T Nguyen, Anjali Chauhan

Faculty, Staff and Student Publications

No abstract provided.