Biomedical Informatics Commons^™

Spatial Omics At The Forefront: Emerging Technologies, Analytical Innovations, And Clinical Applications, Yunhe Liu, Yibo Dai, Linghua Wang

Faculty, Staff and Student Publications

Spatial omics transforms our understanding of cancer by revealing how tumor cells and the microenvironment are organized, interact, and evolve within tissues. Here, we synthesize advances in spatial technologies that map tumor ecosystems with unprecedented fidelity. We highlighted analytical breakthroughs-including multimodal integration and emerging spatial foundation models-that resolve functional niches and spatial communities, converting spatial patterns into mechanistic insights. We summarize how spatially organized features, from immune hubs to microbiota and neural interfaces, shape tumor evolution and clinical outcomes. We then outline how spatial approaches illuminate precancer biology, metastatic adaptation, and therapy response. Bridging discovery and translation, we provide a …

Tet2-Mutant Clonal Hematopoiesis Enhances Macrophage Antigen Presentation And Improves Immune Checkpoint Therapy In Solid Tumors, Shelley Herbrich, Mehdi Chaib, Swetha Anandhan, Samuel W Andrewes, Ashwat Nagarajan, Baoxiang Guan, Nishant Gandhi, Jared Gilliam, Milan Radovich, Padmanee Sharma

Faculty, Staff and Student Publications

Clonal hematopoiesis (CH) is detectable in upwards of 20% of patients with solid tumors and is associated with worsened prognosis; however, its role in tumor immunology and immune checkpoint therapy (ICT) is unknown. Using a bone marrow chimera model of Tet2+/mut CH in mice with solid tumors, we found the Tet2-mutant myeloid cells are abundant in the tumor microenvironment and contributed to an improved response to ICT. Mechanistically, Tet2+/mut macrophages inside the tumor act as immunogenic antigen-presenting cells that more effectively cross-prime naive CD8+ T cells in response to IFNγ. In human cohorts of 35,971 non-small cell lung cancer patients …

Flipi24: A Modern Prognostic Model And Clinical Trial Enrichment Tool For Newly Diagnosed Follicular Lymphoma, Matthew J Maurer, Vit K Prochazka, Tarec Christoffer El-Galaly, Christopher R Flowers, Diego Villa, Emmanuel Bachy, Elliot J Cahn, Marguerite Fournier, Melissa C Larson, Caroline E Dietrich, Lasse Hjort Jakobsen, Hervé Ghesquières, Robert Kridel, Maher K Gandhi, Chan Y Cheah, Eliza A Hawkes, John F Seymour, Ciara L Freeman, Michael R Clausen, Björn E Wahlin, Jonathan W Friedberg, Carla Casulo, Thomas M Habermann, Yucai Wang, Loretta J Nastoupil, Peter De Nully Brown, David Belada, Andrea Janíková, Heidi Mocikova, Tomáš Fürst, Pierre Feugier, Hervé Tilly, Corinne Haioun, Andrew J Davies, Guillaume Cartron, Richard Burack, Dai Chihara, Peter Martin, Jonathon B Cohen, Izidore S Lossos, Brad S Kahl, Laurie H Sehn, Karin E Smedby, Gilles Salles, Marek Trneny, Brian K Link, Franck Morschhauser, James R Cerhan

Faculty, Staff and Student Publications

Purpose: Although most patients with follicular lymphoma (FL) can expect an indolent course, progressive lymphoma remains the primary cause of death during the first decade after diagnosis. Progression of disease within 24 months (POD24) of starting first-line (1L) immunochemotherapy defines a high-risk population with poor survival, but better risk stratification at diagnosis is needed.

Methods: The FLIPI24 model was developed and internally validated to predict 24-month event rates using individual data from 4,485 patients treated with 1L immunochemotherapy from 10 observational cohorts of FL. Overall and cause-specific survival was further evaluated in FLIPI24 risk groups. External validation in the 1L …

Proton Versus Photon Radiotherapy For Patients With Oropharyngeal Cancer In The Usa: A Multicentre, Randomised, Open-Label, Non-Inferiority Phase 3 Trial, Steven J Frank, Paul M Busse, J Jack Lee, David I Rosenthal, Mike Hernandez, David M Swanson, Adam S Garden, G Brandon Gunn, Samir H Patel, James W Snider, Daniel J Ma, Jason K Molitoris, Nancy Y Lee, Upendra Parvathaneni, Mark W Mcdonald, Noah S Kalman, Alexander Lin, Nasiruddin Mohammed, Christina Henson, Christian Hyde, Gopal K Bajaj, Sanford R Katz, Roi Dagan, William H Morrison, Jay P Reddy, C David Fuller, Shalin J Shah, Jack Phan, Gregory M Chronowski, Lauren Mayo, Erich M Sturgis, Renata Ferrarotto, Xiaorong R Zhu, Xiaodong Zhang, Li Wang, Katherine A Hutcheson, Adel K El-Naggar, Amy C Moreno, Anna Lee, Michael T Spiotto, Neil D Gross, Stephen Y Lai, Jay J Liao, Jonathan Paly, Zhongxing Liao, Robert L Foote

Faculty, Staff and Student Publications

Background: Radiotherapy is an integral component of treatment for oropharyngeal cancer. Toxicity from the current state-of-the-art photon radiotherapy, intensity-modulated radiation therapy (IMRT), has prompted the search for alternative, less toxic therapies. One such alternative that might de-intensify treatment is proton therapy. In this trial, we aimed to directly compare IMRT with intensity-modulated proton therapy (IMPT), both concurrent with systemic therapy, hypothesising comparable disease control and survival and lower toxicity.

Methods: This randomised, multicentre, open-label, non-inferiority, phase 3 trial was conducted in 21 sites (cancer centres or universities) in the USA. Patients (aged ≥18 years) with stage III or stage IV …

Clinical And Dosimetric Dataset Of Time-To-Event Normal Tissue Complication Probability For Osteoradionecrosis, Natalie A West, Serageldin Kamel, Andrew Wentzel, Zaphanlene Kaffey, Moamen Abdelaal, G Elisabeta Marai, Guadalupe Canahuate, Xinhua Zhang, Melissa M Chen, Kareem A Wahid, Jillian Rigert, Kristy K Brock, Mark Chambers, Adegbenga O Otun, Ruth Aponte-Wesson, Renjie He, Mohamed A Naser, Katherine A Hutcheson, Abdallah S R Mohamed, Lisanne V Van Dijk, Amy C Moreno, Stephen Y Lai, Clifton D Fuller, Laia Humbert-Vidan

Faculty, Staff and Student Publications

Osteoradionecrosis of the jaw (ORNJ) is a radiation-induced late toxicity that can dramatically decrease patients' quality of life. Recent increases in survival rates of head and neck cancers associated with human papillomavirus (HPV) infection have resulted in a higher frequency of radiation-induced toxicities, particularly ORNJ. Recent work with Normal Tissue Complication Probability (NTCP) models and a Weibull Accelerated Failure Time (WAFT) model have further developed our understanding of ORNJ clinical/dosimetric risk factors and longitudinal features, respectively. In this data descriptor, 1129 head and neck cancer (HNC) patients received curative intent radiotherapy (RT) at MD Anderson Cancer Center and were followed …

An Integrated Single-Cell And Spatial Transcriptomic Atlas Of Thyroid Cancer Progression Identifies Prognostic Fibroblast Subpopulations, Matthew A Loberg, George J Xu, Sheau-Chiann Chen, Hua-Chang Chen, Claudia C Wahoski, Kailey P Caroland, Megan L Tigue, Heather A Hartmann, Jean-Nicolas Gallant, Courtney J Phifer, Andres A Ocampo, Dayle K Wang, Reilly G Fankhauser, Kirti A Karunakaran, Chia-Chin Wu, Maxime Tarabichi, Sophia M Shaddy, James L Netterville, Sarah L Rohde, Carmen C Solórzano, Lindsay A Bischoff, Naira Baregamian, Barbara A Murphy, Jennifer H Choe, Jennifer R Wang, Eric C Huang, Quanhu Sheng, Luciane T Kagohara, Elizabeth M Jaffee, Ryan H Belcher, Ken S Lau, Fei Ye, Ethan Lee, Vivian L Weiss

Faculty, Staff and Student Publications

Although well-differentiated thyroid carcinoma (WDTC) is characterized by a robust treatment response, aggressive subtypes, such as anaplastic thyroid carcinoma (ATC), remain highly lethal. To understand thyroid cancer evolution in both children and adults, we analyzed single-cell transcriptomes of 423,733 cells from 81 samples and spatially resolved key tumor and microenvironment populations across 28 tumors with spatial transcriptomics, including rare and unique composite WDTC/ATC tumors and pediatric diffuse sclerosing thyroid carcinomas. Additionally, we identified gene signatures of stromal cell populations in 5 large thyroid cancer bulk RNA-sequencing cohorts. Through this multi-institutional effort, we defined a population of POSTN+ myofibroblast cancer-associated fibroblasts …

Loss Of Kdm6a-Mediated Genomic Instability And Metabolic Reprogramming Regulates Response To Therapeutic Perturbations In Bladder Cancer, Pratishtha Singh, Ranit D'Rozario, Bidisha Chakraborty, Swadhin Meher, Deblina Raychaudhuri, Aminah J Tannir, Yang Li, Anurag Majumdar, Jessalyn Hawkins, Yun Xiong, Philip Lorenzi, Padmanee Sharma, Kadir Akdemir, Patrick Pilie, Abhinav K Jain, Byron Hing Lung Lee, Sangeeta Goswami

Faculty, Staff and Student Publications

Mutations in epigenetic regulators are common in bladder cancer, yet their impact on therapeutic responses remains unclear. Here, we identify that loss-of-function mutations in KDM6A, a histone demethylase altered in about 26% of advanced bladder cancers, are associated with poor survival after cisplatin chemotherapy, whereas they correlate with improved outcomes with anti-PD-1 therapy. Using CRISPR-Cas9-engineered murine and human bladder cancer models, we show that KDM6A deficiency increases formation of extrachromosomal circular DNA carrying chemoresistance loci, promoting cisplatin resistance. In parallel, KDM6A loss impairs DNA repair and rewires tumor metabolism, reducing glycolysis and lactate output. This metabolic shift diminishes histone lactylation …

3d Reconstruction Of Spatial Transcriptomics With Spatial Pattern Enhanced Graph Convolutional Neural Network, Chen Tang, Yuansheng Zhou, Xue Xiao, Lei Dong, Lei Yu, Qiwei Li, Guanghua Xiao, Lin Xu

Faculty, Staff and Student Publications

Spatially resolved transcriptomics (SRT) is a promising new technology that enables simultaneous analysis of gene expression and spatial information for biomedical research. However, the existing statistical and deep learning algorithms used for analyzing SRT data rely solely on two-dimensional (2D) spatial coordinates, which limits their ability to accurately identify spatial domains, spatially variable genes (SVGs), cell-to-cell communications, and developmental trajectories in a three-dimensional (3D) spatial manner. To address these limitations, we introduced Spa3D, which utilized the anti-leakage Fourier transform and graph convolutional neural network model to reconstruct 3D-based spatial structures from multiple 2D SRT slices. We demonstrate that Spa3D is …

Knockrbp: An Integrated Multi-Omics Database Of Functional Perturbation Profiles For Rna-Binding Proteins, Mengyuan Yang, Jiawei Li, Jiajia Liu, Xingzheng Lu, Xiaobo Zhou, Yungang Xu

Faculty, Staff and Student Publications

RNA-binding proteins (RBPs) regulate diverse post-transcriptional processes, yet their functional impacts across multiple molecular layers remain incompletely characterized. KnockRBP (https://knockrbp.xu-bioinfo.com) is presented as a comprehensive, multi-omics database systematically cataloging regulatory changes resulting from genetic perturbation of RBPs. The resource integrates 1453 datasets from GEO, ENA, and ENCORE, encompassing RNA-seq, Ribo-seq, microRNA (miRNA)-seq, and 3'RACE-seq across 639 RBPs, 182 cell lines, and 61 diseases. Regulatory outcomes covered include alternative splicing, alternative polyadenylation, RNA editing, transcript abundance, translation efficiency, and miRNA expression, with all events processed through standardized analytical pipelines and annotated with open reading frame consequences, predicted loss-of-function impacts, and established …

Inhibition Of Gpx4 Induces The Death Of P53-Mutant Triple-Negative Breast Cancer Cells, William M Tahaney, Amanda Lanier, Jing Qian, Cassandra L Moyer, Nghi Nguyen, Yanxia Ma, Jamal Hill, Reid T Powell, Clifford C Stephan, Peter J A Davies, Abhijit Mazumdar, Powel H Brown

Faculty, Staff and Student Publications

Background: Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by high rates of tumor protein 53 (TP53) mutation and with limited targeted therapies. Despite being clinically advantageous, direct targeting of mutant TP53 has been challenging. Therefore, we hypothesized that p53-mutant TNBC cells rely upon other potentially targetable survival pathways.

Methods: In vitro and in silico screens were used to identify drugs that induced preferential death in TP53-mutant cells. The effect of the ferroptosis inducer ML-162 was tested both in vitro and in vivo and the mechanism of cell death following ML-162 treatment or GPX4 knockout was …

Spatial2gwas: A Database For Linking Spatial Transcriptomic Regions With Gwas Traits, Xi Hu, Aoqi Wang, Huan Yu, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

Spatial heterogeneity of gene expression within tissue regions has a critical influence on biological functions, thereby affecting disease pathogenesis. However, systematic associations between spatially resolved transcriptomes and phenotypes, especially in complex diseases, remain underexplored. Here, we developed spatial2GWAS (http://www.spatial2gwas.cn), a comprehensive resource linking spatial transcriptomic (ST) regions with GWAS traits. In the database, we collected 1196 ST slices (human and mouse) from five technologies and 812 GWAS traits spanning 18 phenotype categories and identified 29 701 ST slice-GWAS trait pairs containing 47 492 significant regions. Functional analyses reveal distinct patterns of cell type composition, gene expression, GO/KEGG pathway activation, and …

Modality-Agnostic, Patient-Specific Digital Twins Modeling Temporally Varying Digestive Motion, Jorge Tapias Gomez, Nishant Nadkarni, Lando S Bosma, Jue Jiang, Ergys D Subashi, William P Segars, James M Balter, Mert R Sabuncu, Neelam Tyagi, Harini Veeraraghavan

Faculty, Staff and Student Publications

No abstract provided.

A Prognostic Matrix Gene Expression Signature Defines Functional Glioblastoma Phenotypes And Niches, Monika Vishnoi, Zeynep Dereli, Zheng Yin, Elisabeth K Kong, Meric Kinali, Kisan Thapa, Ozgun Babur, Kyuson Yun, Nourhan Abdelfattah, Xubin Li, Behnaz Bozorgui, Mary C Farach-Carson, Robert C Rostomily, Anil Korkut

Faculty, Staff and Student Publications

Interactions among tumor, immune, and vascular niches play major roles in glioblastoma (GBM) malignancy and treatment responses. The composition and heterogeneity of extracellular core matrix proteins (CMPs) that mediate such interactions are not well understood. Here, we present an analysis of the clinical relevance of CMP expression in GBM at bulk, single-cell, and spatial anatomical resolution. We show that CMP enrichment is associated with worse patient survival, specific driver oncogenic alterations, mesenchymal state, pro-tumor immune infiltration, and immune checkpoint expression. Matrisome expression is enriched in vascular and leading edge/infiltrative niches that are known to harbor glioma stem cells. Finally, we …

Vacmap: An Accurate Long-Read Aligner For Unraveling Complex Genomic Rearrangements, Hongyu Ding, Fritz J Sedlazeck, Christos Proukakis, Caoimhe Morley, Marco Toffoli, Anthony Hv Schapira, Zhirui Liao, Lianrong Pu, Shanfeng Zhu

Faculty, Staff and Students Publications

Sequence alignment is essential for genomic research and clinical diagnostics, yet detecting complex rearrangements such as inversions, duplications, and gene conversions remains challenging due to allele complexity and limitations of current methods. We introduce VACmap, a non-linear mapping approach to enhance the detection and representation of all genetic variations. VACmap improves duplication detection from 20% to 90% in the Challenging Medically-Relevant Genes (CMRG) benchmark and improves characterization of complex inversions in repetitive regions and gene conversion events. It improves resolving clinically significant loci, including the LPA gene (with repetitive KIV-2 units linked to coronary heart disease), GBA1 and STRC genes …

Celltra: Aligning Cell Names With Gene Expression Via A Pathway-Informed Transformer, Zhao Li, Zaiyi Zheng, Rongbin Li, Wenbo Chen, Yuntao Yang, Meer A Ali, Jundong Li, W Jim Zheng

Faculty, Staff and Student Publications

Motivation: Single-cell RNA sequencing (scRNA-Seq) technology enables detailed exploration of gene expression at the individual cell level, crucial for annotating cell types and understanding cellular diversity. Traditional methods for cell type annotation often rely on marker genes and manual labeling, posing challenges due to low data quality and incomplete reference datasets.

Results: We developed CeLLTra, a novel contrastive learning framework that leverages a Transformer-based model integrating biological pathway information to group genes into super tokens, effectively capturing comprehensive gene expression from scRNA-Seq data. By combining this pathway-informed Transformer with a pretrained domain-specific language model, CeLLTra accurately aligns cell-type annotations with …

Cholesterol Efflux Protein, Abca1, Supports Anticancer Functions Of Myeloid Immune Cells, Shruti V Bendre, Yu Wang, Basel Hajyousif, Rajendra K C, Shounak G Bhogale, Dhanya Pradeep, Natalia Krawczynska, Claire P Schane, Erin Weisser, Avni Singh, Simon Han, Hannah Kim, Lara Kockaya, Anasuya Das Gupta, Adam T Nelczyk, Hashni Epa Vidana Gamage, Yifan Fei, Desirée Rodríguez-Casiano, Xingyu Guo, Haoyun Li, Ryan J Deaton, Fei Mo, Maria Sverdlov, Peter H Gann, Saurabh Sinha, Sahil Sahni, Kun Wang, Kevin Van Bortle, Emad Tajkorshid, Wendy A Woodward, Wonhwa Cho, Erik R Nelson

Faculty, Staff and Student Publications

Breast and other solid tumors respond poorly to immune therapy. Myeloid cells (MCs) such as macrophages contribute to resistance. Established clinical evidence links cholesterol to cancer outcomes, with MC function being regulated by cholesterol metabolism. We screened MC-expressed regulators of cholesterol homeostasis linked to survival and identified the cholesterol efflux protein ABCA1. ABCA1 activity increases anticancer functions of macrophages: enhancing tumor infiltration, decreasing angiogenic potential, reducing efferocytosis, and improving support of CD8+ T cell activity. Mechanistically, different AKT isoforms are involved, through both PI3K-dependent and PI3K-independent mechanisms. Highlighting the clinical relevance of our findings are correlations between ABCA1 in macrophages …

Nf2 Loss Malignantly Transforms Human Pancreatic Acinar Cells And Enhances Cell Fitness Under Environmental Stress, Yi Xu, Michael H Nipper, Angel A Dominguez, Chenhui He, Francis E Sharkey, Sajid Khan, Han Xu, Daohong Zhou, Lei Zheng, Yu Luan, Jun Liu, Pei Wang

Faculty, Staff and Student Publications

Pancreatic ductal adenocarcinoma (PDAC) occurs as a complex, multifaceted event driven by the interplay of tumor-permissive genetic mutations, the nature of the cellular origin, and microenvironmental stress. In this study, using primary human pancreatic acinar 3D organoids, we performed a CRISPR-KO screen targeting 199 potential tumor suppressors curated from clinical PDAC samples. Our data revealed significant enrichment of a list of candidate genes, with neurofibromatosis type 2 associated gene (NF2) emerging as the top target. Functional validation confirmed that loss of NF2 promoted the transition of PDAC to an invasive state, potentially through extracellular matrix modulation. NF2 inactivation …

Racial, Ethnic, And Socioeconomic Survival Disparities In Early-Onset Metastatic Colorectal Cancer, Jennifer S Wang, Benny Johnson, Caitlin C Murphy

Faculty, Staff and Student Publications

Importance: Rates of metastatic colorectal cancer (mCRC) are rising among young adults. Disparities by race and ethnicity and neighborhood-level socioeconomic status (SES) among this population are understudied.

Objective: To examine the association of race and ethnicity and neighborhood-level SES with mortality among a community-based sample of young adults with mCRC.

Design, setting, and participants: This cohort study used a large electronic health record-derived database of young adults with cancer treated at 280 community-based US clinics between 2013 and 2021. Eligible patients were young adults aged 18 to 49 years diagnosed with de novo or recurrent mCRC. Patients were followed up …

Clinical Outcomes With Perioperative Nivolumab By Nodal Status In Patients With Stage Iii Resectable Nsclc: Phase 3 Checkmate 77t Exploratory Analysis, Mariano Provencio, Mark M Awad, Jonathan D Spicer, Annelies Janssens, Fedor Moiseyenko, Yang Gao, Yasutaka Watanabe, Aurelia Alexandru, Florian Guisier, Nikolaj Frost, Fabio Franke, T Jeroen Nicolaas Hiltermann, Jie He, Fumihiro Tanaka, Shun Lu, Cinthya Coronado Erdmann, Padma Sathyanarayana, Phuong Tran, Vipul Devas, Tina Cascone

Faculty, Staff and Student Publications

Individuals with non-small-cell lung cancer (NSCLC) with metastases to the ipsilateral mediastinum or subcarinal lymph nodes (N2 disease) have poor long-term survival. This exploratory analysis from the randomized phase 3 CheckMate 77T study assessed clinical outcomes by nodal status in individuals with stage III NSCLC who received neoadjuvant nivolumab plus chemotherapy followed by surgery and adjuvant nivolumab (nivolumab) versus neoadjuvant chemotherapy followed by surgery and adjuvant placebo (placebo). Here we show that among patients with N2 disease, nivolumab versus placebo improved event-free survival (1-year rate, 70% versus 45%; hazard ratio, 0.46 (95% confidence interval, 0.30–0.70)) and pathological complete response rate …

Blood Flow Regulates Metabolism In Hematopoietic Development, Pamela L Wenzel

Faculty, Staff and Student Publications

Blood flow modifies oxygen availability and biomechanical forces within the vasculature of the embryo as the hematopoietic system develops. The aorta-gonad-mesonephros (AGM) envelops the largest artery in the body and is a critical site for the emergence of hematopoietic stem cells (HSCs). Herein, I discuss the role of hypoxia-inducible factors (HIFs) and force as determinants of metabolism and fate determination. To address the effects of blood flow on hematopoietic development, I employ mouse embryo models and biomimetic culture. Real-time cell metabolic analyses show that oxygen consumption rates (OCR) and extracellular acidification rates (ECAR) are altered by flow in cultures of …

Dietetic Guidance For Nutritional Management Of People With Phenylketonuria Receiving Sepiapterin, Anita Macdonald, Kirsten Ahring, Alexa Bledsoe, Hiroki Fujimoto, Sara Giorda, Christian Kogelmann, Jessica Kopesky, Laura Nagy, Sara O'Neill, Alex Pinto, Soraia Poloni, Paige Roberts, Annemiek M J Van Wegberg, Suzanne Hollander

Faculty, Staff and Student Publications

Background/objectives: Phenylketonuria (PKU) is an autosomal recessive inborn error of metabolism. If untreated, elevated blood phenylalanine (Phe) levels lead to neurological and behavioral impairments. Phe levels can be managed through a lifelong Phe-restricted diet; however, this can be challenging to maintain. Sepiapterin is an adjunct therapy for PKU that has shown efficacy in reducing blood Phe levels in both tetrahydrobiopterin (BH4)-responsive and BH4-non-responsive people with PKU in clinical trials. Practical guidance is needed for dietitians and other healthcare professionals supporting the dietary management of people with PKU who are initiating or receiving sepiapterin.

Methods: A group of international dietitians participated …

Workforce Review Of Health Information Technology Associate-Degree Graduates: 2017-2024, Debra Hamada, Karima Lalani, Melanie Brodnik, Susan H Fenton, Angela Kennedy, David T Marc, Velma L Payne, Rebecca Reynolds

Faculty, Staff and Student Publications

Background: The career path of associate-degree health information technology (HIT) graduates continues to change quickly as quality and payment regulations, technology requirements, and workforce expectations evolve to meet the demands of the changing health care environment. Although HIT professionals play an essential role in accuracy, regulatory compliance, and the overall function of health information systems, there is limited research describing HIT workforce trends.

Methods: A mixed-methods approach was used with 587 survey responses. Quantitative data were standardized by job category, including a newly developed "health information management (HIM) operations" group, and career movement was visualized using a Sankey diagram. Qualitative …

Factors Associated With Opioid And Antibiotic Prescribing At Us Academic Dental Institutions: 2011 To 2020, S Tungare, A-I Yansane, S Gantela, K K Kookal, S Mccurdy, T M Krause, S Sharma, M Walji

Faculty, Staff and Student Publications

Introduction: In the United States, dentists are one of the leading prescribers of opioids and antibiotics. Because dental schools are the training grounds for future dentists, it is crucial to understand how prescribing has changed and why these medications are being prescribed in academic settings.

Objectives: The objective of this research was to describe the prescribing trends and factors associated with opioid and antibiotic medication prescribing at US academic dental institutions between 2011 and 2020.

Methods: Data from electronic dental records collected through the BigMouth data repository from 9 anonymized dental institutions between 2011 and 2020 were used. Prescribing rates …

Rewiring The Immune Response In Lung Cancer: Current Progress In Bispecific Antibodies, Car-T Therapy, And The Rise Of In Vivo Car-T Platforms, Lei He, Yi Sun, Bowen Ma, Guojun Lang, Jianguo Wen, George R Blumenschein, Hong Ma

Faculty, Staff and Student Publications

Lung cancer remains the leading cause of cancer mortality worldwide and continues to impose a major clinical burden, particularly in advanced non-small cell lung cancer (NSCLC) and small-cell lung cancer (SCLC). Although targeted therapies, antiangiogenic agents, immune checkpoint inhibitors, and antibody-drug conjugates have improved outcomes in selected patients, durable responses remain limited by primary and acquired resistance. Here, we comprehensively review recent progress in immunologically oriented therapeutic strategies for lung cancer, focusing on bispecific antibodies, chimeric antigen receptor (CAR) T-cell therapy, and emerging in vivo CAR-engineering modalities. We further elaborate on the clinical rationale, latest translational and early clinical evidence, …

A Hybrid Vit-L/32-Maxvit-L Architecture With Adaptive Gated Fusion For Multiclass Gastrointestinal Disease Detection And Multi-Method Post-Hoc Explainability, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Introduction: Accurate detection of gastrointestinal diseases from endoscopic images remains challenging due to substantial inter-class similarity, intra-class variability, and heterogeneous lesion presentation. While convolutional neural networks (CNNs) effectively capture fine mucosal textures, their limited receptive field restricts global contextual reasoning. Conversely, transformer architectures model long-range dependencies but may underrepresent localized structural detail.

Methods: This study proposes a dual-branch hybrid transformer framework that integrates global token-level reasoning from ViT-L/32 with hierarchical spatial modeling from MaxViT-L. An adaptive gated fusion mechanism is introduced to dynamically regulate the relative contribution of local and global representations on a per-sample basis, enabling content-aware cross-scale integration. …

Genetic Variants Associated With Sjögren’S Disease Subtypes Stratified By Clinical Feature, Nitesh Enduru, Chihiro Iwaya, Akiko Suzuki, Zhongming Zhao, Junichi Iwata

Faculty, Staff and Student Publications

Introduction: Sjögren's disease (SjD) is a chronic autoimmune disorder characterized by dry mouth (xerostomia) and dry eyes (xerophthalmia) due to inflammation in exocrine glands, particularly the salivary and lacrimal glands. The condition presents a wide variety of clinical features, suggesting that it may involve heterogeneous conditions without a clear boundary. Although genome-wide association studies (GWAS) have identified several genetic variants associated with SjD, their roles in SjD pathogenesis remain unclear.

Methods: In this study, we aimed to identify single-nucleotide polymorphisms (SNPs) associated with SjD by categorizing patients based on four diagnostic markers: anti-Ro/SSA and anti-La/SSB antibodies, IgG levels, and lymphocyte …

Association Between Three-Dimensional Margin Assessment And Local Tumor Control In Percutaneous Lung Cryoablation Of Colorectal Metastases, Frank Mohn, Koustav Pal, Caleb O'Connor, Iwan Paolucci, Austin Castelo, Kamran Ahrar, Steven Yevich, Joshua D Kuban, Bruno C Odisio, Alda Lui Tam, Rahul A Sheth, Kristy K Brock

Faculty, Staff and Student Publications

Purpose

To evaluate the association of two minimum ablation margin (MAM) estimation methods: manual three-dimensional segmentation and biomechanical deformable image registration (DIR) with local tumor progression-free survival (LTPFS) after percutaneous lung cryoablation of colorectal pulmonary metastases.

Materials and Methods

This retrospective single-institution study included patients who underwent percutaneous lung cryoablation between May 2012 and March 2023 (median follow-up, 3.6 years; range, 0.8–9.6 years). Manual three-dimensional MAM was calculated for all tumors, and DIR-based MAM was estimated in a subset with intraprocedural full-thorax imaging. Cox proportional hazards regression assessed associations between MAM and LTPFS. The primary outcome was 2-year LTPFS, with …

Perspective: Radiotherapy And Body Composition: Unmet Needs In Low- And Middle-Income Countries, Alexia J Murphy-Alford, Aaron J Grossberg, Vickie E Baracos, Maha Barbar, Judy Bauer, Jonathan P Bennett, Elena Fidarova, Clifton D Fuller, Anastassia Löser, Amy C Moreno, Anurima Patra, Deepa Puttaswamy, David I Rosenthal, Judy Schoeman, Yavuz Anacak

Faculty, Staff and Student Publications

Radiotherapy plays a vital role in cancer treatment, yet its effects on patients' nutritional status can precipitate muscle loss, with significant implications for treatment tolerance and outcomes. Evidence from high-income countries increasingly links radiation-induced muscle loss to adverse clinical outcomes. In contrast, low- and middle-income countries face a stark evidence gap, despite the heightened vulnerability of cancer patients in these settings due to delayed diagnosis, limited access to care, and high rates of co-morbidities. This paper highlights the critical gaps in nutritional care for radiotherapy patients in low- and middle-income countries.

Functional, Pharmacogenomic, And Immune Landscapes Of Long Non-Coding Rnas In Cancer, Runhao Wang, Mei Luo, Yuan Liu, Jingwen Yang, Yamei Chen, Chengxuan Chen, Lifei Ma, Stephanie Ding, James Wengler, Yong Zang, Bora Lim, Wenbo Li, Liuqing Yang, Chunru Lin, Lixia Diao, Leng Han

Faculty, Staff and Student Publications

Long non-coding RNAs (lncRNAs) are emerging as key regulators in cancer, with significant potential as diagnostic, prognostic, and therapeutic targets. Here, this work systematically analyzes lncRNA associations with targeted therapies and immunotherapies across 33 cancer types using The Cancer Genome Atlas (TCGA) and real-world datasets. This work identifies 53,173 lncRNA-pathway associations, millions of lncRNA-drug response associations (via CancerRxTissue and VAEN), and extensive correlations with immune checkpoints and infiltration. This work further identifies 69 lncRNAs associated with immunotherapy response and 2,611 differentially expressed lncRNAs between low and high objective response rate (ORR) groups. Additionally, two lncRNAs are correlated with immune-related adverse …

Bop2-Comb: Bayesian Optimal Phase Ii Design For Optimizing Doses And Assessing Contribution Of Components In Drug Combinations, Xiaohan Chi, Ying Yuan, Ruitao Lin

Faculty, Staff and Student Publications

Background: Personalized cancer treatment using combination therapies offers substantial therapeutic benefits over single-agent treatments in most cancers. However, unmet clinical needs and increasing market competition pressure drug developers to quickly optimize combination doses and clearly demonstrate the contribution of each component when developing and evaluating new combination treatments.

Methods: We propose a Bayesian optimal phase II drug-combination (BOP2-Comb) design that optimizes the combination dose and evaluates the proof-of-concept as well as the contribution of each component in two seamless stages. Our optimal calibration scheme minimizes the total trial sample size while controlling incorrect decision rates at nominal levels. This calibration …