Medical Specialties Commons^™

A Combinatorial Approach To Synthetic Data Generation For Machine Learning, Krishna Khadka, Jaganmohan Chandrasekaran, Yu Lei, Raghu Kacker, D Richard Kuhn

Faculty, Staff and Student Publications

Datasets used in machine learning often contain sensitive information, including personally identifiable health and financial details. A common challenge faced by organizations and researchers is the risk of privacy breaches when using real-world data. Synthetic data can be used as an alternative to the real-world data. In existing synthetic data generation techniques, an encoder processes the real-world data to map it into a lower-dimensional latent space. Random sampling is then performed in this latent space. Subsequently, a decoder network is utilized to generate synthetic data from these sampled points in the latent space. Such approaches typically require generating a large …

Prickle4 Drives Microenvironmental Remodeling And Resistance To Parp Inhibition In Idh-Mutant Glioma, Ju Yang, Hua Yang, Yifan Yuan, Chenyang Zhang, Ziwei Fu, Yanyan Chen, Yinghong Xiong, Shuyu Chen, Kexin Ling, Ying Liu, Jason T Huse, Bo Chen, Timothy A Chan, Zengxin Qi, Zhao Zhang, Xiuping Liu, Yuxiang Wang

Faculty, Staff and Student Publications

Mutations in isocitrate dehydrogenase (IDH) genes sensitize gliomas to PARP inhibition (PARPi) by inducing epigenetic reprogramming of DNA damage repair circuits. However, tumors treated with PARPi eventually relapse despite initial responsiveness. In this study, it is demonstrated that the anti-angiogenic agent lenvatinib synergizes effectively with PARPi, resulting in substantial tumor regression and significantly extended survival. Genomic analysis of tumors reveals that PARPi induces widespread transcriptomic changes that are predominantly pro-inflammatory, thereby promoting tumor angiogenesis. Prickle4, a planar cell polarity protein, is identified as a critical mediator of PARPi-induced neovascularization. Targeting Prickle4 effectively overcomes PARPi resistance in these tumors. Collectively, these …

Alternative Polyadenylation Signatures Distinguish Maladaptive Right Ventricular Remodeling In Pulmonary Hypertension: Implications For Rna-Based Diagnostics And Therapeutics, Janani Subramaniam, Venkata Jonnakuti, Scott D Collum, Sandra Martineau, Kai-Lieh Huang, Sandra Breuils-Bonnet, Andrea L Frump, Bindu H Akkanti, Jayeshkumar A Patel, Manish K Patel, Ismael Salas De Armas, Isabella N Lefebvre, Rajko Radovancevic, Elvin Blanco, Eric J Wagner, Igor Gregoric, Sriram Nathan, Biswajit Kar, Steeve Provencher, Sebastien Bonnet, François Potus, Hari Krishna Yalamanchili, Harry Karmouty-Quintana

Faculty, Staff and Student Publications

Increased pulmonary vascular pressures due to vascular remodeling, elevated vascular resistance, and vasoconstriction characterize Pulmonary Arterial Hypertension (PAH). The narrowing of the pulmonary arteries and obstruction of blood flow increase the Right Ventricular (RV) afterload, forcing the RV to undergo structural and functional changes. While adaptive remodeling leads to RV compensation by maintaining function, maladaptive remodeling leads to RV decompensation, characterized by worsening function and eventual failure. At present, there is no effective treatment for these patients as therapies for left ventricular failure are ineffectual, and there are no therapies specifically targeting the RV. Therefore, there is a clear need …

A Gut-Activated Nhr-86-Cyp Pathway Mediates The Neuroprotective Effects Of Enterococcus Faecium Probiotics In A Nematode Model Of Amyotrophic Lateral Sclerosis, Yu Sang, Jie Ren, Alejandro Aballay

Faculty, Staff and Student Publications

Neurodegenerative diseases are often associated with oxidative stress, and while probiotics may influence neuronal health, the underlying mechanisms remain poorly understood. Using the sod-1 A4VM amyotrophic lateral sclerosis (ALS) model in Caenorhabditis elegans, we investigated the protective effects of the probiotic Enterococcus faecium against oxidative stress-induced neurodegeneration. Animals fed E. faecium showed reduced motor neuron degeneration under oxidative stress compared to those maintained on a standard Escherichia coli diet. Transcriptome analysis revealed a significant enrichment of oxidoreductase genes, including cytochrome P450 (cyp) genes. RNAi-mediated knockdown of cyp genes impaired E. faecium-mediated neuroprotection, and this loss correlated with increased reactive oxygen …

Guadecitabine Improved Relapse-Free Survival In High-Risk Acute Myeloid Leukemia And Myelodysplastic Syndrome Patients After Transplant: Phase Ii Results From A Single Center, Betül Oran, Peter Thall, Amin Alousi, Gheath Al-Atrash, Rohtesh Mehta, David Marin, Partow Kebriaei, Uday Popat, Roland Bassett, Qaiser Bashir, Jin Im, Amanda Olson, Jessica Jewell, Portia Smallbone, Elizabeth Shpall, Richard Champlin

Faculty, Staff and Student Publications

This phase II, single-center clinical trial evaluated the efficacy and safety of guadecitabine, with or without donor lymphocyte infusion, following allogeneic stem cell transplantation in adult patients with acute myeloid leukemia (AML) or myelodysplastic syndrome (MDS). The study had three treatment cohorts based on post-transplant disease status. Cohort 1 included patients with hematologic relapse after transplant (N=13). Cohort 2 consisted of patients with minimal residual disease (MRD) detected after transplant (N=18). Cohort 3 compromised patients in remission without MRD within 100 days after transplant (N=24). The primary objectives were achievement of morphological complete remission in cohort 1 and MRD eradication …

Endogenous Processes Underlying Clock-Like Mutational Signatures, Teresa Druck, Rami I Aqeilan, C Marcelo Aldaz, Nicola Zanesi, Kay Huebner

Faculty, Staff and Student Publications

Wellcome Trust scientists have shown that “mutational signatures” in specific nucleotide contexts accumulate in genomes of mammalian tissues, providing clues to underlying causes of specific signatures. Analysis of cancer genomes has identified more than 50 single‐base substitution (SBS) signatures, with SBS1, SBS5, and SBS40 linked to aging and present in normal tissues. SBS1 results from cytosine demethylation, whereas SBS5 and SBS40 arise from unknown endogenous mechanisms. We hypothesized that loss of fragile‐site genes drives these two signatures. FHIT, located at FRA3B, is frequently deleted in cancers, and Fhit‐deficient mouse tissues exhibit a mutation profile resembling human SBS5. Data mining of …

Preclinical Ischemic Stroke Multicenter Trials (Prism) Collective Statement: Opportunities, Challenges, And Recommendations For A New Era, Cenk Ayata, Philip M Bath, Anna M Planas, Stuart M Allan, Johannes Boltze, Ryan P Cabeen, Claire L Gibson, Marilyn J Cipolla, Marcio A Diniz, Stefano Fumagalli, Fahmeed Hyder, Raymond C Koehler, Arthur Liesz, Sarah K Mccann, Tim Magnus, Louise D Mccullough, Emily S Sena, Simone Beretta, Jaroslaw Aronowski, Francesca Bosetti, Clinton B Wright, Patrick D Lyden, Lauren H Sansing

Faculty, Staff and Student Publications

Preclinical stroke research faces a critical translational gap, with animal studies failing to reliably predict clinical efficacy. To address this, the field is moving toward rigorous, multicenter preclinical randomized controlled trials (mpRCTs) that mimic phase 3 clinical trials in several key components. This collective statement, derived from experts involved in mpRCTs, outlines considerations for designing and executing such trials. mpRCTs offer advantages such as increased sample sizes, robust statistical design, incorporation of heterogeneity, and standardized protocols, but they face challenges in finding the right balance between standardization and heterogeneity, appropriate stroke model selection, and outcome measures, as well as the …

Intratumoral Bacteria Are Immunosuppressive And Promote Immunotherapy Resistance In Head And Neck Squamous Cell Carcinoma, Natalie L Silver, Jin Dai, Travis D Kerr, Jessica Altemus, Rekha Garg, Hannah Simmons, Tyler Alban, Laura Noel-Romas, Vladimir Makarov, David J H Shih, Shwetha V Kumar, Akeem Santos, Rehan Akbani, Adam Burgener, Mohammed Dwidar, Neil Gross, Andrew G Sikora, Elias J Sayour, Apollo Stacy, Christian Jobin, Timothy A Chan, Renata Ferrarotto, Daniel J Mcgrail

Faculty, Staff and Student Publications

Despite the promise of immune checkpoint blockade (ICB) in head and neck squamous cell carcinoma (HNSCC), mediators of response are poorly understood. To address this, here we analyzed oropharyngeal HNSCCs treated with neoadjuvant durvalumab (anti-PDL1) alone or in combination with tremelimumab (anti-CTLA4) from the CIAO clinical trial ( NCT03144778 ). We found that only the total abundance of intratumoral bacteria predicted ICB response, which was validated in multiple independent cohorts. High intratumoral bacteria abundance was associated with an immunosuppressive tumor microenvironment, characterized by an accumulation of neutrophils coupled with depletion of T cells and other adaptive immune cells. Experimental elevation …

Measuring Cancer Equity Globally: Harmonising International Rural-Urban Classifications For Exploring Cancer Outcomes, Charlene Wright, Sharina Riva, Megan Crichton, Helena Rodi, Hannah Jongebloed, Lucy Leigh, Elizabeth A. Johnston, Rebecca J. Bergin, Anna Chapman, Laura Alston, Fiona Crawford–Williams, Nicolas H. Hart, Joel Rhee, Lan Gao, Kate Gunn, Harry Gasper, Anna Ugalde, Skye Marshall

Research outputs 2022 to 2026

Geographic disparities in cancer outcomes represent a critical health equity challenge, with rural populations consistently experiencing poorer outcomes than urban populations. The lack of harmonised rurality measures creates substantial barriers to evidence synthesis and has precluded meta-analyses. This perspectives paper discusses concepts of rurality, identifies rurality classification systems used by cancer researchers in OECD countries that can be harmonised with the OECD Extended Typology, and develops recommendations for consistent rural-urban coding. Targeted searches of grey and published literature on cancer policy and rurality classification systems were conducted. The secondary analysis examined studies identified through systematic database searching of OVID Medline, …

Emerging Blood-Based Biomarkers For The Detection Of Parenchymal Brain Metastasis: Current Progress And Future Perspectives, Désirée Sexauer, Elin S. Gray, Helen Rizos, Pauline Zaenker, Aaron B. Beasley

Research outputs 2022 to 2026

Parenchymal brain metastases of solid malignancies remain a significant clinical challenge, as they are often detected at later symptomatic stages, which are typically associated with worse prognosis. Delayed detection limits treatment options and contributes to poor outcomes, while early detection is critical for improving patient outcomes and quality of life. In this comprehensive review, we investigated the potential use and challenges of blood-based biomarkers, including circulating tumor cells, cell-free DNA, noncoding RNAs, extracellular vesicles, proteins, and other immune-related biomarkers, for the early detection of parenchymal brain metastasis. The use of blood-based liquid biopsies offers a promising avenue for early detection …

Precision Exercise For Breast Cancer-Related Outcomes: Towards Personalised Training Based On Tumour, Treatment And Patient Characteristics, Cristina Crespo-Garcia, Anita Borsati, Dennis R. Taaffe, Carolyn J. Peddle-Mcintyre, John P. Campbell, Alice Avancini, Emily Jeffery, Daniel A. Galvao, Robert U. Newton

Research outputs 2022 to 2026

Exercise is a promising strategy associated with improved cancer-related outcomes through multiple biological mechanisms. However, current exercise guidelines largely adopt a one-size-fits-all approach and overlook inter-individual variability in response. Given the heterogeneity of breast cancer, precision exercise prescriptions may better target biological pathways linked to therapeutic efficacy and long-term prognosis. Observational studies consistently show that higher physical activity levels are associated with improved survival outcomes, including reduced all-cause and breast cancer-specific mortality. In contrast, evidence from interventional trials remains limited and inconsistent, with effects on tumour response and survival largely derived from secondary or exploratory analyses. These discrepancies likely reflect …

Genomic Determinants Of Response And Resistance To Pirtobrutinib In Relapsed/Refractory Chronic Lymphocytic Leukemia, Jennifer R Brown, Bastien Nguyen, Sai Prasad Desikan, Helen Won, Shady I Tantawy, Samuel C Mcneely, Narasimha Marella, Hetal S Randeria, Lauren M Hanson, Andrew Parker, Salomé Calado Botelho, Jennifer A Woyach, Krish Patel, Constantine S Tam, Toby A Eyre, Chan Y Cheah, Nirav N Shah, Paolo Ghia, Wojciech Jurczak, Minna Balbas, Binoj Nair, Paolo Abada, Chunxiao Wang, Denise Wang, Lindsey E Roeker, Varsha Gandhi, William G Wierda

Faculty, Staff and Student Publications

Pirtobrutinib, a noncovalent, reversible Bruton tyrosine kinase inhibitor (BTKi), demonstrated efficacy in patients with chronic lymphocytic leukemia (CLL), resistant to covalent BTKi (cBTKi). We analyzed genomic correlations with response and resistance to pirtobrutinib in relapsed/refractory (R/R) patients with CLL pretreated with cBTKi enrolled in the phase 1/2 BRUIN trial. DNA sequencing was performed on peripheral blood mononuclear cells at baseline, on treatment, and at progressive disease (PD). Common alterations at baseline included mutations in BTK (43%), TP53 (38%), SF3B1 (25%), NOTCH1 (23%), ATM (19%), XPO1 (11%), PLCG2 (9%), BCL2 (8%), and 17p deletion (28%). Common baseline BTK mutations included C481S …

Integrative Multi-Omics Profiling Identifies Infiltrative Hepatocellular Carcinoma As An Immunotherapy-Resistant Subtype With Distinct Molecular Features, Won Suk Lee, Seonjeong Woo, Sung Hwan Lee, Gae Hoon Jo, Ilhwan Kim, Hyeyeong Kim, Chansik An, Sanghoon Jung, Gwangil Kim, Haeyoun Kang, Beodeul Kang, Jung Sun Kim, Ho Yeong Lim, Incheon Kang, Hannah Yang, So Jung Kong, Dahyeon Son, Dong Jun Shin, Woo Young Kwon, Da-Yeon Lee, Ju-Seog Lee, Junho Park, Youngsoo Kim, Sohyun Hwang, Chan Kim, Hong Jae Chon

Faculty, Staff and Student Publications

Background/aims: Hepatocellular carcinoma (HCC) exhibits substantial morphological and biological heterogeneity. Clinical and molecular relevance of the infiltrative subtype remains poorly defined in the context of cancer immunotherapy. We aimed to evaluate the prognostic impact and molecular features of infiltrative HCC in patients treated with first-line atezolizumab plus bevacizumab (Ate/Bev).

Methods: We included 307 patients with advanced HCC treated with Ate/Bev and classified them into four gross morphological types based on imaging. Multi-omics profiling was conducted on tumor samples. Type IV infiltrative signature was derived and externally validated using five independent HCC cohorts, including IMbrave150.

Results: Infiltrative morphology, encompassing pure and …

Engineering Mutation Clones In Mammalian Cells With Crispr/Cas9, Zijun Huo, Jian Tu, Rachel Shoemaker, Dung-Fang Lee, Ruiying Zhao

Faculty, Staff and Student Publications

CRISPR, Clustered Regularly Interspaced Short Palindromic Repeat, as a powerful genome engineering system, has been widely accepted and employed in gene editing of a vast range of cell types. Compared to zinc finger nucleases (ZFNs) or transcription activator-like effector nucleases (TALENs), CRISPR shows a less complicated process and higher efficiency. With the development of different CRISPR systems, it can be used not only to knock out a gene but also to make precise modifications, activate or repress target genes with epigenetic modifications, and even for genome wide screening. Here we will describe the procedure of generating a stable cell line …

Poly(A) Probe Hcr Rna-Fish Specifically Marks Pyriform Nurse Cells In The Brown Anole Lizard Ovary, Zoe B Griffin, Bonnie K Kircher, Richard R Behringer

Faculty, Staff and Student Publications

Hybridization chain reaction RNA-fluorescent in situ hybridization (HCR RNA-FISH) is a powerful and increasingly used method for visualizing gene expression in cells and tissues. A probe set against polyadenylated RNA (poly(A)) is often used as a positive control for RNA integrity and staining quality. While optimizing this technique in the ovary of the brown anole lizard (Anolis sagrei), we found that the poly(A) probe produced a strikingly specific and intense signal in pyriform cells, a specialized lizard-specific nurse cell type. This staining pattern was found in both whole-mount samples and paraffin sections, suggesting that poly(A) signal intensity can serve as …

Uncertainty-Guided Test-Time Optimization For Personalizing Segmentation Models In Longitudinal Medical Imaging, Jaehee Chun, Austin Castelo, Mckell Woodland, Caleb O'Connor, Mais Al Taie, Mohamed Eltaher, Aashish Gupta, Bilel Daoud, Shanli Ding, Jeddy Bennett, Anirban Maitra, Matthew A Firpo, Kimberly Kirkwood, Eugene J Koay, Kristy K Brock

Faculty, Staff and Student Publications

Background: Accurate and consistent image segmentation across longitudinal scans is essential in many clinical applications, including surveillance, treatment monitoring, and adaptive interventions. While personalized model adaptation using patient-specific prior scans has shown promise, current approaches typically rely on fixed training durations and lack mechanisms to determine optimal stopping points on a per-patient basis, particularly in the absence of validation labels.

Purpose: We propose an uncertainty-guided test-time optimization (TTO) framework that dynamically adjusts the personalization duration for each patient using a validation-free stopping criterion based on predictive uncertainty.

Methods: Our framework personalizes a generalized segmentation model using patient-specific prior imaging and …

Contralateral Breast Cancer After Radiotherapy And Hormone Therapy In Two Cohorts Of Us Breast Cancer Survivors, Lene H S Veiga, Gretchen L Gierach, Susan A Smith, Rebecca M Howell, Matthew M Mille, Monjoy Saha, Rochelle E Curtis, Cody Ramin, Clara Bodelon, Heather Spencer Feigelson, Erin J Aiello Bowles, Diana S M Buist, Sheila Weinmann, Jacqueline B Vo, Choonsik Lee, Amy Berrington De Gonzalez

Faculty, Staff and Student Publications

Background: Radiotherapy increases contralateral breast cancer risk, while hormone therapy reduces it; their combined effects are unclear.

Methods: Data from two US retrospective cohort studies of 5-year breast cancer survivors (stage I-III, ages 20-84), Kaiser Permanente (KP, 1990-2012) and SEER (1990-2013), were analysed. Contralateral breast radiation doses were estimated for the KP cohort. Multivariable Poisson regression estimated relative risks (RRs) and excess relative risks per Gray (ERR/Gy), stratified by hormone therapy use.

Results: KP cohort (n = 9053) included 353 contralateral breast cancer cases (73% ER+); SEER cohort (n = 244,834) included 10,470 cases (72% ER+). Among women with ER+ …

Host Modulation Therapy In Periodontitis: From Established Therapies To Emerging Technologies, Aonjittra Phanrungsuwan, Jiaqi Huang, Neeraja Dharmaraj, Alejandra Cobos Perez, Omid Veiseh, Simon Young, Chun-Teh Lee

Faculty, Staff and Student Publications

Periodontitis is a biofilm-induced chronic inflammatory disease, characterized by gingival inflammation and alveolar bone loss. According to a national survey, approximately half of the U.S. adults are affected by periodontal disease. To effectively prevent and treat periodontitis, it is essential to address its underlying causes. The primary etiological factors include polymicrobial synergy and dysbiosis of the oral microbiota, and a dysregulated immune response. The standard therapeutic approach, mechanical removal of biofilm through debridement, sometimes demonstrates limited efficacy, particularly in cases of severe periodontitis, which may require adjunctive or additional therapy. Emerging evidence indicates that periodontal tissue destruction is initiated by …

Investigating The Role Of Traditional Chinese Herbal Medicine For Cancer Symptom Management In Older Adults: A Rapid Review, Isabelle C. Karshner

Honors Undergraduate Theses

Background: Patients with cancer often experience symptoms related to disease, complications, and treatment. One potential method of alleviating these symptoms is traditional Chinese herbal medications (TCHM). This rapid review explores the role of traditional Chinese herbal medications in treating cancer-related symptoms in older adults.

Purpose: The purpose of this rapid review is to gain and provide a better understanding of the effects of TCHM on cancer-symptom management in the older adult population. This review explores the association between TCHM and effects on cancer symptoms in older adults, including interactions, toxicity, and signs/symptoms of TCHM use that may be useful information …

Photobiomodulation Mitigates The Inhibitory Effects Of Pirfenidone On Cancer-Associated Fibroblasts And Their Pro-Tumorigenic Properties: A Cause For Concern, Nima Rastegar-Pouyani, Alireza Nasirpour, Fatemeh Javani Jouni, Hossein Vazini, Ahmad Moshaii

Electrical & Computer Engineering Faculty Publications

Cancer-associated fibroblasts (CAFs) within the tumor microenvironment highly contribute to cancer progression and poor prognosis. Recent findings introduce pirfenidone, a medication for pulmonary fibrosis, as a promising repurposed candidate for inhibiting CAFs. Moreover, photobiomodulation (PBM), or low-level laser therapy, has surfaced as a potential modality against cancer; however, its impact on CAFs is not thoroughly comprehended. The present study scrutinized the effects of PBM, pirfenidone, and PBM+pirfenidone on CAFs, and their consequent impact on cancer cells using the CAF-conditioned media. After treating CAFs with PBM at wavelengths 660 and 980 nm with/without PFD and then culturing cancer cells in the …

Implementation Of Tg-351 Reference Dosimetry For A 6 Mv Photon Beam In An Mr-Guided Radiotherapy System, Nicholas A. Castellano Jr.

Theses and Dissertations

Magnetic resonance guided radiation therapy (MRgRT) combines magnetic resonance imaging (MRI) and radiation therapy to enable the visualization of anatomy in real time during treatment. The presence of a magnetic field in MRgRT affects charged particle radiation and detector responses, necessitating changes to traditional reference dosimetry procedures. The American Association of Physicists in Medicine (AAPM) Task Group 351 (TG-351) provides a formalism for reference dosimetry in MRgRT. In this study, the TG 351 formalism is used to perform reference dosimetry for a 6 MV flattening filter-free (FFF) photon beam from a Viewray MRIdian MR-Linac radiation therapy system. Beam quality determination, …

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 …

Evaluating Novel Targeted Combination Therapies For Gastrointestinal Cancers, Joseph A. Goode

Graduate Studies Theses and Dissertations 2026

Gastrointestinal (GI) cancers remain among the leading causes of cancer-related mortality worldwide, with therapeutic resistance continuing to limit the effectiveness of current treatments. Three complementary studies were conducted to identify therapeutic vulnerabilities and evaluate novel combination strategies in pancreatic ductal adenocarcinoma (PDAC) and colorectal cancer (CRC).  First, dual inhibition of fibroblast growth factor receptor 4 (FGFR4) and phosphoinositide 3-kinase (PI3K)/mammalian target of rapamycin (mTOR) signaling was investigated in PDAC models. A combination of targeted drug treatments reduced viability, clonogenic survival, migration, and suppressed signaling pathways involved in translational control. This supported a functional interaction between FGFR4 and PI3K-mTOR co-activation in …

Attf-Gnn: An Attention-Based Multi-Omics Graph Neural Network With Modality Learning For Disease Subtyping, Sovon Chakraborty, Eleni Adam, Terry Stilwell, Harold Riethman, Desh Ranjan, Pratip Rana

Computer Science Faculty Publications

We propose AttF-GNN, an attention-based graph fusion strategy for diseases classification and subtyping. In multiomics analysis, not all types of molecular data are equally relevant for disease subtyping and considering all modalities equally may obscure discriminative signals and limit the effectiveness of predictive models by overlooking modality-specific contributions. Therefore, we design an attention-based multimodal GraphSAGE framework that can automatically emphasize the modalities providing the most relevant information for classification. At first, we have constructed three graphs using mRNA, RNA-seq and DNA methylation modalities, and train each omics with individual GraphSAGE encoders. Next, a unified intersection graph is formed using an …

Chromnet: A Multi-Task Learning Framework For Cross-Cell Type Prediction Of 3d Chromatin Interactions Using Epigenetic Signals, Bin Wang, Shaokai Wang, Liqing Ding, Hongdong Li, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

The 3D organization of chromatin plays a fundamental role in gene regulation, cellular function, and disease mechanisms. However, current experimental techniques, such as Hi-C, remain costly and labor-intensive, limiting their application in large-scale and disease-related studies. To address this challenge, ChromNet is presented, a multi-task learning framework that integrates epigenetic signals across diverse cell types to enable high-precision prediction of chromatin architecture. By incorporating noise perturbation and auxiliary classification tasks, ChromNet improves the identification of topologically associating domains (TADs) and cell-type-specific chromatin structures, demonstrating superior generalization performance. Notably, ChromNet accurately predicts chromatin interactions in acute myeloid leukemia (AML) samples by …

Adaptive Self-Attention For Enhanced Segmentation Of Adult Gliomas In Multi-Modal Mri, Evan P. Savaria, Jiangwen Sun

Computer Science Faculty Publications

Every year there are an estimated 80,000–90,000 new glioma cases, highlighting the need for reliable imaging-based decision support. Although deep learning has improved tumor sub-region segmentation, many state-of-the-art models fail to fully capture complementary information across T1, T1Gd, T2, and FLAIR MRI modalities and often operate as “black boxes,” limiting physician trust when precise delineation is critical for surgical planning, radiation targeting, and treatment monitoring. To address these limitations, we propose AIMS, an Adaptive Integrated Multi-Modal Segmentation framework that maintains modality-specific feature streams and employs adaptive self-attention within a hierarchical CNN-Transformer architecture to prioritize and fuse multi-modal MRI features. We …

Analysis And Numerical Investigation Of A Breast Cancer Treatment Model Incorporating Ketogenic Diet And Immune Boosters Via Optimal Control Theory, Kunnisai Muniroh, Ummu Habibah, Wuryansari Muharini Kusumawinahyu, Nur’Izzati Hamdan

Mathematical Modelling and Numerical Simulation with Applications

This paper develops a mathematical model to investigate breast cancer dynamics by incorporating tumor–immune interactions, ketogenic diet effects, and medical treatment. The model is formulated as a system of nonlinear ordinary differential equations and analyzed within an optimal control framework. Time-dependent control variables are introduced to represent treatment strategies aimed at minimizing tumor progression while reducing therapeutic costs. The model’s well-posedness is established through positivity and boundedness analysis. The necessary conditions for optimality are derived using Pontryagin’s Minimum Principle, resulting in a coupled system of state and adjoint equations. Numerical solutions are obtained using the fourth-order Runge–Kutta method combined with …

Inflammatory Co-Regulation Of Voltage-Gated Sodium Channels And Na,K-Atpase In Metastatic Breast Cancer, Steven D. Scahill, Kelly Jean Sherman, Dennis Paul

School of Graduate Studies Faculty Publications

Sodium regulation is a potentially major driver of cancer metastasis. Voltage-gated sodium channels (VGSCs) and Na,K-ATPase are sodium transporters that are upregulated in many advanced carcinomas and are implicated as metastatic drivers. However, little is known about what drives this overexpression, how these proteins influence metastatic behavior, or whether these complementary sodium transporters are co-regulated in cancer. Using sodium transporter regulation in healthy neurons as a model, the present study demonstrated that the inflammatory mediator tumor necrosis factor alpha (TNFα) affects the expression of VGSCs and Na,K-ATPase in an in vitro model of metastatic breast cancer. Acute TNFα challenge increased …

Netrin-1 Promotes Pancreatic Tumorigenesis And Innervation Through Neo1, Hiroki Kobayashi, Yosuke Ochiai, Junya Arai, Masahiro Hata, Feijing Wu, Masaki Sunagawa, Tadashi Iida, Taisuke Baba, Ermanno Malagola, Takayuki Tanaka, Zhengyu Jiang, Ruth A White, Xiaofei Zhi, Jin Qian, Quin T Waterbury, Ruhong Tu, Biyun Zheng, Yi Zeng, Hualong Zheng, Puran Zhang, Shuang Li, Leah B Zamechek, Jonathan S Labella, Takahiro Sugie, Atsushi Enomoto, Holger K Eltzschig, Carmine F Palermo, Iok In Christine Chio, Kenneth P Olive, Timothy C Wang

Faculty, Staff and Student Publications

Nerves can regulate tumorigenesis and cancer progression. However, clarification of the role of axon guidance molecules in tumorigenesis, innervation, and metastasis is required to better understand the tumor-promoting functions of nerves. Using murine KrasG12D-mutant pancreatic organoids, we screened axon guidance molecules and identified netrin-1 upregulation. Netrin-1 was also upregulated in vivo during pancreatic tumorigenesis in humans and mice. Mutant KRAS and β-adrenergic signaling upregulated netrin-1 and its receptor NEO1 in epithelial cells in part through the MAPK pathway. Ex vivo culture of celiac ganglia showed that netrin-1 promoted the axonogenesis of sympathetic neurons through nerve NEO1. In the Pdx1-Cre;LSL-KrasG12D/+ model, …

Speeding Up Interval Estimation For R2-Based Mediation Effect Of High-Dimensional Mediators Via Cross-Fitting, Zhichao Xu, Chunlin Li, Sunyi Chi, Tianzhong Yang, Peng Wei

Faculty, Staff and Student Publications

Mediation analysis is a useful tool in investigating how molecular phenotypes such as gene expression mediate the effect of exposure on health outcomes. However, commonly used mean-based total mediation effect measures may suffer from cancellation of component-wise mediation effects in opposite directions in the presence of high-dimensional omics mediators. To overcome this limitation, we recently proposed a variance-based R-squared total mediation effect measure that relies on the computationally intensive nonparametric bootstrap for confidence interval estimation. In the work described herein, we formulated a more efficient two-stage, cross-fitted estimation procedure for the R2 measure. To avoid potential bias, we performed …