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Articles 301 - 330 of 7730

Full-Text Articles in Biomedical Informatics

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 Jan 2026

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 Jan 2026

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 …


Defective Dna Damage Response Is A Targetable Therapeutic Vulnerability In Esr1 Mutant Breast Cancer, Sarah K Herzog, Jessica H Stevens, Guowei Gu, Sandra L Grimm, Kloma Cardoza, Autumn G M Hawkins, Hangqing Lin, Daniela Ramos, Amanda R Beyer, David G Edwards, Derek Dustin, Harry J Yang, Nicole Liang, Ashfia F Khan, Tasneem Bawa-Khalfe, Daniel J Mcgrail, Shiaw-Yih Lin, Cristian Coarfa, Suzanne A W Fuqua Jan 2026

Defective Dna Damage Response Is A Targetable Therapeutic Vulnerability In Esr1 Mutant Breast Cancer, Sarah K Herzog, Jessica H Stevens, Guowei Gu, Sandra L Grimm, Kloma Cardoza, Autumn G M Hawkins, Hangqing Lin, Daniela Ramos, Amanda R Beyer, David G Edwards, Derek Dustin, Harry J Yang, Nicole Liang, Ashfia F Khan, Tasneem Bawa-Khalfe, Daniel J Mcgrail, Shiaw-Yih Lin, Cristian Coarfa, Suzanne A W Fuqua

Faculty, Staff and Student Publications

ESR1 mutations are the leading cause of endocrine therapy resistance and progression in ER-positive metastatic breast cancer. ESR1 mutations are detected in ~50% of metastatic breast cancer patients, and identification of effective targeted therapeutics are critically needed. Here, we identified enrichment of dysregulated replication stress and DNA damage responses in multiple ESR1 mutant models. Targeting the replication stress response utilizing checkpoint inhibition in combination with PARP inhibition synergistically suppressed growth, induced cell cycle arrest, and attenuated DNA replication. PARP inhibition blocked metastatic dissemination in vivo and reduced both PARP1 and ER-regulated protein expression. PARP trapping by olaparib treatment with or …


Machine Learning-Based Multimodal Biomarkers Enable Accurate Diagnosis And Early Detection Of Pancreatic Ductal Adenocarcinoma, Tsung-Hung Yao, Warapen Treekitkarnmongkol, Nagireddy Putluri, Deivendran Sankaran, Tristian Nguyen, Seetharaman Balasenthil, Mark W Hurd, Meng Chen, Randall E Brand, Paul D Lampe, Abu Hena M Kamal, Vasanta Putluri, Tony Y Hu, Anirban Maitra, Eugene J Koay, Ann M Killary, Subrata Sen, Suprateek Kundu Jan 2026

Machine Learning-Based Multimodal Biomarkers Enable Accurate Diagnosis And Early Detection Of Pancreatic Ductal Adenocarcinoma, Tsung-Hung Yao, Warapen Treekitkarnmongkol, Nagireddy Putluri, Deivendran Sankaran, Tristian Nguyen, Seetharaman Balasenthil, Mark W Hurd, Meng Chen, Randall E Brand, Paul D Lampe, Abu Hena M Kamal, Vasanta Putluri, Tony Y Hu, Anirban Maitra, Eugene J Koay, Ann M Killary, Subrata Sen, Suprateek Kundu

Faculty, Staff and Students Publications

While there has been some progress on discovering clinically validated biomarkers for early detection in pancreatic ductal adenocarcinoma (PDAC), several challenges remain. Most approaches rely on single-modality biomarkers with limited sensitivity and/or specificity. Using data from a multicenter study with an age-matched cohort (n = 203 with healthy controls n = 46, pancreatitis controls n = 36, and diagnosed cases n = 121), we developed a machine learning approach integrating 2,096 microRNAs, 125 metabolites, and CA19-9. Our method performs unsupervised selection of an optimal subset of biomarkers with maximal discriminatory power for diagnosis and early detection. In training data, the …


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 Jan 2026

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 …


Peripheral Nerve Injury Reduces Macrophage Efferocytosis To Facilitate Neuropathic Pain, Vipul K Pandey, Tusar K Acharya, Kendal F Willcox, Sandeep Dembla, Ajeena Ramanujan, Anamaria R Grieco, Younus A Zuberi, Rajasekaran Mahalingam, Andrew J Shepherd, Cobi J Heijnen, Peter M Grace Jan 2026

Peripheral Nerve Injury Reduces Macrophage Efferocytosis To Facilitate Neuropathic Pain, Vipul K Pandey, Tusar K Acharya, Kendal F Willcox, Sandeep Dembla, Ajeena Ramanujan, Anamaria R Grieco, Younus A Zuberi, Rajasekaran Mahalingam, Andrew J Shepherd, Cobi J Heijnen, Peter M Grace

Faculty, Staff and Student Publications

For reasons not fully understood, proresolving immune processes sometimes fail to engage after peripheral nerve injury (PNI), leading to enhanced neuropathic pain and inflammation. Here, we implicate reduced efferocytosis due to proteolytic cleavage of surface MER tyrosine kinase (MERTK) from macrophages at the site of PNI. After PNI, the proportion of macrophages expressing MERTK progressively decreased, while soluble (cleaved) MER increased. Using male and female knock-in mice encoding cleavage-resistant Mertk, we demonstrated that cleavage of MERTK from macrophages at the PNI site led to exaggerated pain-related behaviors. PNI-induced hyperactivity of TRPV1+ sensory neurons and damage to myelin and myelinated …


Correction: Sadagopan Et Al Reduced Computed Tomography Scan Speed Improves Alignment Errors For Patients Undergoing Thoracic Stereotactic Body Radiation Therapy, Ramaswamy Sadagopan, Rachael M Martin-Paulpeter, Christopher R Peeler, Xiaochun Wang, Paige Nitsch, Julianne M Pollard-Larkin Jan 2026

Correction: Sadagopan Et Al Reduced Computed Tomography Scan Speed Improves Alignment Errors For Patients Undergoing Thoracic Stereotactic Body Radiation Therapy, Ramaswamy Sadagopan, Rachael M Martin-Paulpeter, Christopher R Peeler, Xiaochun Wang, Paige Nitsch, Julianne M Pollard-Larkin

Faculty, Staff and Student Publications

In the original publication [...].


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 Jan 2026

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.


Neuronal Subtype Governs Amyloid Structure, Cellular Response, And Cognitive Outcome In Genetically Targeted App Mouse Models, Gabriella A Perez, Zoe Lai, George A Edwards Iii, Jacob M Dundee, Shannon N Leahy, Chuangye Qi, Yanyan Qi, Ye-Jin Park, Tzu-Chiao Lu, M Danish Uddin, Rong Zhao, Hui Zheng, Hongjie Li, Joanna L Jankowsky Jan 2026

Neuronal Subtype Governs Amyloid Structure, Cellular Response, And Cognitive Outcome In Genetically Targeted App Mouse Models, Gabriella A Perez, Zoe Lai, George A Edwards Iii, Jacob M Dundee, Shannon N Leahy, Chuangye Qi, Yanyan Qi, Ye-Jin Park, Tzu-Chiao Lu, M Danish Uddin, Rong Zhao, Hui Zheng, Hongjie Li, Joanna L Jankowsky

Faculty, Staff and Students Publications

Pathological heterogeneity is increasingly appreciated in Alzheimer’s disease, yet we do not know how distinct aggregate conformations arise or influence cognitive outcomes. In an amyloid mouse model, we found that different brain regions formed structurally distinct Aβ deposits, prompting us to test whether neuronal subtypes shape aggregate conformation. To address this, we created transgenic mice expressing the same APP construct in either glutamatergic or GABAergic neurons. APP expression in GABAergic neurons resulted in diffuse plaques with high Aβ42/Aβ40 ratios and minimal gliosis, while glutamatergic expression produced neuritic plaques with activated glia. Despite similar Aβ levels, only mice with neuritic plaques …


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 Jan 2026

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 …


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 Jan 2026

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 …


Precision Targeting Of Sting: Challenges, Innovations, And Clinical Outlook For Cancer Therapy, Jiaqi Shi, Yingying Zhang, Na Zhao, Ekihiro Seki, Li Ma, Gordana Kocic, Xiaobo Li, Janoš Terzić, Tongsen Zheng Jan 2026

Precision Targeting Of Sting: Challenges, Innovations, And Clinical Outlook For Cancer Therapy, Jiaqi Shi, Yingying Zhang, Na Zhao, Ekihiro Seki, Li Ma, Gordana Kocic, Xiaobo Li, Janoš Terzić, Tongsen Zheng

Faculty, Staff and Student Publications

The stimulator of interferon genes (STING) pathway plays a crucial role in immune responses and has emerged as a compelling target in cancer therapy. Despite promising preclinical studies, clinical trials of STING agonists have largely failed to deliver durable efficacy, with no agents progressing to phase III trials. This review examines the biological, pharmacological, and clinical barriers limiting STING pathway activation in cancer treatment. We discuss the inherent limitations of STING agonists as well as host-related resistance driven by tumor heterogeneity, immune suppression, and chronic STING activation. Mechanisms of acquired resistance, such as immune checkpoint upregulation and suppression of effector …


International Guidelines On The Diagnosis And Treatment Of Nut Carcinoma, Yu Zhang, Qi Zhang, Yue Hao, Jia Luo, Yingshi Piao, Wenxian Wang, Zhengbo Song, Ziming Li, Luka Brcic, Aijun Liu, Jinpu Yu, Yasuhiro Tsutani, Wenzhao Zhong, Wenfeng Fang, Zhijie Wang, Shengxiang Ren, Athanasios G Papavassiliou, Yongchang Zhang, Jingjing Liu, Shirong Zhang, Xiuyu Cai, Ayten Kayi Cangir, Anwen Liu, Wen Li, Filippo Lococo, Ping Zhan, Hongbing Liu, Tangfeng Lv, Liyun Miao, Lingfeng Min, Helmut Popper, Yu Chen, Jingping Yuan, Feng Wang, Zhansheng Jiang, Gen Lin, Long Huang, Xingxiang Pu, Rongbo Lin, Kalevi Kairemo, Weifeng Liu, Chuangzhou Rao, Dongqing Lv, Zongyang Yu, Ashrafian Leanne, Xiaoyan Li, Chuanhao Tang, Hifzur R Siddique, Chengzhi Zhou, Junping Zhang, Junli Xue, Vishal Shelat, Hui Guo, Qian Chu, Rui Meng, Fatemeh Ardeshir, Jingxun Wu, Rui Zhang, Jin Zhou, Robert A Kratzke, Zhengfei Zhu, Yongheng Li, Hong Qiu, Fan Xia, Fiorella Calabrese, Yang Xia, Alessandro Wasum Mariani, Yuanyuan Lu, Xiaofeng Chen, Mark A Klein, Rui Ge, Enyong Dai, Axel H Schönthal, Yu Han, Zhenying Guo, Jian Zhang, Yinghua Ji, Xianbin Liang, Hongmei Zhang, Xuelei Ma, Marco Chiappetta, Xuewen Liu, Francoise Galateau Salle, Yu Yao, Malgorzata Szolkowska, Weiwei Pan, Fei Pang, Fan Wu, Stefan B Watzka, Liping Wang, Youcai Zhu, Li Lin, Aparna Sharma, Jianfei Tu, Xinqing Lin, Jing Cai, Ling Xu, Jisheng Li, Xiaodong Jiao, Kainan Li, Marjorie G Zauderer, Jia Wei, Huijing Feng, Lin Wang, Yingying Du, Wang Yao, Elizabeth Dudnik, Xuefei Shi, Xiaomin Niu, Dongmei Yuan, Yanwen Yao, Jianhui Huang, Yue Feng, Yinbin Zhang, Binbin Song, Wenfeng Li, Jianfei Fu, Marina K Baine, Pingli Sun, Hong Wang, Mingxiang Ye, Dong Wang, Zhaofeng Wang, Jing Wu, Yunyun Yang, Yuan Fang, Zhen Wang, Bin Wan, Donglai Lv, Huafei Chen, Shengjie Yang, Jing Kang, Jiatao Zhang, Chao Zhang, Lin Shi, Yina Wang, Mohamed Emam Sobeih, Bihui Li, Bin Lian, Lili Mao, Zhang Zhang, Ke Wang, Zhongwu Li, Zhefeng Liu, Nong Yang, Lin Wu, Xiaobing Chen, Gu Jin, Miao Li, Guansong Wang, Thomas U Marron, Jiandong Wang, Sanjay Popat, Meiyu Fang, Yong Fang, Daniel Mansilla, Yuan Li, Xiaojia Wang, Jing Chen, Yiping Zhang, Xixu Zhu, Yi Shen, Shenglin Ma, Aaron S Mansfield, Biyun Wang, Lu Si, Anja C Roden, Bjørn H Grønberg, Yong Song, Geoffrey I Shapiro, Christopher A French, Yuanzhi Lu, Qian Wang, Chunwei Xu Jan 2026

International Guidelines On The Diagnosis And Treatment Of Nut Carcinoma, Yu Zhang, Qi Zhang, Yue Hao, Jia Luo, Yingshi Piao, Wenxian Wang, Zhengbo Song, Ziming Li, Luka Brcic, Aijun Liu, Jinpu Yu, Yasuhiro Tsutani, Wenzhao Zhong, Wenfeng Fang, Zhijie Wang, Shengxiang Ren, Athanasios G Papavassiliou, Yongchang Zhang, Jingjing Liu, Shirong Zhang, Xiuyu Cai, Ayten Kayi Cangir, Anwen Liu, Wen Li, Filippo Lococo, Ping Zhan, Hongbing Liu, Tangfeng Lv, Liyun Miao, Lingfeng Min, Helmut Popper, Yu Chen, Jingping Yuan, Feng Wang, Zhansheng Jiang, Gen Lin, Long Huang, Xingxiang Pu, Rongbo Lin, Kalevi Kairemo, Weifeng Liu, Chuangzhou Rao, Dongqing Lv, Zongyang Yu, Ashrafian Leanne, Xiaoyan Li, Chuanhao Tang, Hifzur R Siddique, Chengzhi Zhou, Junping Zhang, Junli Xue, Vishal Shelat, Hui Guo, Qian Chu, Rui Meng, Fatemeh Ardeshir, Jingxun Wu, Rui Zhang, Jin Zhou, Robert A Kratzke, Zhengfei Zhu, Yongheng Li, Hong Qiu, Fan Xia, Fiorella Calabrese, Yang Xia, Alessandro Wasum Mariani, Yuanyuan Lu, Xiaofeng Chen, Mark A Klein, Rui Ge, Enyong Dai, Axel H Schönthal, Yu Han, Zhenying Guo, Jian Zhang, Yinghua Ji, Xianbin Liang, Hongmei Zhang, Xuelei Ma, Marco Chiappetta, Xuewen Liu, Francoise Galateau Salle, Yu Yao, Malgorzata Szolkowska, Weiwei Pan, Fei Pang, Fan Wu, Stefan B Watzka, Liping Wang, Youcai Zhu, Li Lin, Aparna Sharma, Jianfei Tu, Xinqing Lin, Jing Cai, Ling Xu, Jisheng Li, Xiaodong Jiao, Kainan Li, Marjorie G Zauderer, Jia Wei, Huijing Feng, Lin Wang, Yingying Du, Wang Yao, Elizabeth Dudnik, Xuefei Shi, Xiaomin Niu, Dongmei Yuan, Yanwen Yao, Jianhui Huang, Yue Feng, Yinbin Zhang, Binbin Song, Wenfeng Li, Jianfei Fu, Marina K Baine, Pingli Sun, Hong Wang, Mingxiang Ye, Dong Wang, Zhaofeng Wang, Jing Wu, Yunyun Yang, Yuan Fang, Zhen Wang, Bin Wan, Donglai Lv, Huafei Chen, Shengjie Yang, Jing Kang, Jiatao Zhang, Chao Zhang, Lin Shi, Yina Wang, Mohamed Emam Sobeih, Bihui Li, Bin Lian, Lili Mao, Zhang Zhang, Ke Wang, Zhongwu Li, Zhefeng Liu, Nong Yang, Lin Wu, Xiaobing Chen, Gu Jin, Miao Li, Guansong Wang, Thomas U Marron, Jiandong Wang, Sanjay Popat, Meiyu Fang, Yong Fang, Daniel Mansilla, Yuan Li, Xiaojia Wang, Jing Chen, Yiping Zhang, Xixu Zhu, Yi Shen, Shenglin Ma, Aaron S Mansfield, Biyun Wang, Lu Si, Anja C Roden, Bjørn H Grønberg, Yong Song, Geoffrey I Shapiro, Christopher A French, Yuanzhi Lu, Qian Wang, Chunwei Xu

Faculty, Staff and Student Publications

Nuclear protein in testis (NUT) carcinoma (NC) represents a rare, clinically aggressive cancer defined by pathognomonic NUT Midline Carcinoma Family Member 1 (NUTM1) gene fusions, with bromodomain and extraterminal domain (BET) protein 4 (BRD4)-NUTM1 being the predominant oncogenic driver. Since its description in 1991, gradual advances have clarified the pathologic mechanisms of NC and its diagnostic methods; however, NC treatment remains a significant challenge. Moreover, diagnostic and treatment approaches for this cancer require further validation and standardization. These guidelines were developed by the Chinese Alliance of Research for NC (ChARN) based on current evidence in …


Machine Learning Models Predict Long Covid Outcomes Based On Baseline Clinical And Immunologic Factors, Naresh Doni Jayavelu, Hady Samaha, Sonia Tandon Wimalasena, Annmarie Hoch, Jeremy P Gygi, Gisela Gabernet, Al Ozonoff, Shanshan Liu, Carly E Milliren, Ofer Levy, Lindsey R Baden, Esther Melamed, Lauren I R Ehrlich, Grace A Mccomsey, Rafick P Sekaly, Charles B Cairns, Elias K Haddad, Joanna Schaenman, Albert C Shaw, David A Hafler, Ruth R Montgomery, David B Corry, Farrah Kheradmand, Mark A Atkinson, Scott C Brakenridge, Nelson I Agudelo Higuit, Jordan P Metcalf, Catherine L Hough, William B Messer, Bali Pulendran, Kari C Nadeau, Mark M Davis, Linda N Gen, Ana Fernandez Sesma, Viviana Simon, Florian Krammer, Monica Kraft, Chris Bime, Carolyn S Calfee, David J Erle, Charles R Langelier, Leying Guan, Holden T Maecker, Bjoern Peters, Steven H Kleinstein, Elaine F Reed, Alison D Augustine, Joann Diray-Arce, Patrice M Becker, Nadine Rouphael, Matthew C Altman Jan 2026

Machine Learning Models Predict Long Covid Outcomes Based On Baseline Clinical And Immunologic Factors, Naresh Doni Jayavelu, Hady Samaha, Sonia Tandon Wimalasena, Annmarie Hoch, Jeremy P Gygi, Gisela Gabernet, Al Ozonoff, Shanshan Liu, Carly E Milliren, Ofer Levy, Lindsey R Baden, Esther Melamed, Lauren I R Ehrlich, Grace A Mccomsey, Rafick P Sekaly, Charles B Cairns, Elias K Haddad, Joanna Schaenman, Albert C Shaw, David A Hafler, Ruth R Montgomery, David B Corry, Farrah Kheradmand, Mark A Atkinson, Scott C Brakenridge, Nelson I Agudelo Higuit, Jordan P Metcalf, Catherine L Hough, William B Messer, Bali Pulendran, Kari C Nadeau, Mark M Davis, Linda N Gen, Ana Fernandez Sesma, Viviana Simon, Florian Krammer, Monica Kraft, Chris Bime, Carolyn S Calfee, David J Erle, Charles R Langelier, Leying Guan, Holden T Maecker, Bjoern Peters, Steven H Kleinstein, Elaine F Reed, Alison D Augustine, Joann Diray-Arce, Patrice M Becker, Nadine Rouphael, Matthew C Altman

Faculty, Staff and Students Publications

Background: The post-acute sequelae of SARS-CoV-2 (PASC), also known as long COVID, remain a significant health issue that is incompletely understood. Predicting which acutely infected individuals will develop long COVID is challenging due to the absence of established biomarkers, clear disease mechanisms, or well-defined sub-phenotypes. Machine learning (ML) models may address this gap by leveraging clinical data to enhance diagnostic precision.

Methods: Clinical data, including antibody titers and viral load measurements collected at the time of hospital admission, are used to predict the likelihood of acute COVID-19 progressing to long COVID. Machine learning models are trained and evaluated for predictive …


Circadian-Shaped Immune Variability Predicts Infection Outcome, Jonathan Lalsiamthara, Mariko Locke, Alejandro Aballay Jan 2026

Circadian-Shaped Immune Variability Predicts Infection Outcome, Jonathan Lalsiamthara, Mariko Locke, Alejandro Aballay

Faculty, Staff and Student Publications

Disease risk and severity are influenced by genetics, epigenetics, and environmental factors. However, immune responses vary even among genetically similar or related individuals, shaped by inherited and noninherited factors. Using Caenorhabditis elegans, we found that pathogen susceptibility can be predicted by preinfection biomarkers. Individuals with high-basal expression of irg-5, an infection response gene regulated by the p38 mitogen-activated protein kinase-1 (PMK-1) pathway, were more susceptible to Pseudomonas aeruginosa infection. A genome-wide screen identified the myeloid ecotropic viral integration site-1 (MEIS) homeobox protein UNC-62 as a regulator of irg-5 expression, acting through PMK-1 and GATA binding erythroid-like transcription factor …


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 Jan 2026

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 Jan 2026

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 Jan 2026

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 …


Public Support For Alcohol-Control Policies And Political Ideology In The Us, Joël Fokom Domgue, Robert Yu, Ernest Hawk, Sanjay Shete Jan 2026

Public Support For Alcohol-Control Policies And Political Ideology In The Us, Joël Fokom Domgue, Robert Yu, Ernest Hawk, Sanjay Shete

Faculty, Staff and Student Publications

This cross-sectional study examines the role of US adults’ political affiliation, perception about alcohol use and cancer, and sociodemographic and behavioral factors in banning outdoor alcohol advertising and adding cancer warnings on alcohol containers.


Peroxisomal Integrity In Demyelination-Associated Microglia Enables Cellular Debris Clearance And Myelin Renewal In Mice, Joseph A Barnes-Vélez, Xiaohong Zhang, Yaren L Peña Señeriz, Kiersten A Scott, Yinglu Guan, Jian Hu Jan 2026

Peroxisomal Integrity In Demyelination-Associated Microglia Enables Cellular Debris Clearance And Myelin Renewal In Mice, Joseph A Barnes-Vélez, Xiaohong Zhang, Yaren L Peña Señeriz, Kiersten A Scott, Yinglu Guan, Jian Hu

Faculty, Staff and Student Publications

Demyelination associated microglia (DMAM) orchestrate the regenerative response to demyelination by clearing myelin debris and promoting oligodendrocyte maturation. Peroxisomal metabolism has emerged as a candidate regulator of DMAMs, though the cell-intrinsic contribution in microglia remains undefined. Here we elucidate the role of peroxisome integrity in DMAMs, using cuprizone-mediated demyelination coupled with conditional KO of peroxisome biogenesis factor 5 (PEX5) in microglia. Absent demyelination, PEX5 conditional KO (PEX5cKO) had minimal impact on homeostatic microglia. However, during cuprizone-induced demyelination, the emergence of DMAMs unmasked a critical requirement for peroxisome integrity. At peak demyelination, PEX5cKO DMAMs exhibited increased lipid droplet burden and reduced …


Metabolic Syndrome Beyond Diagnostic Criteria: Population-Scale Integrative Metabolomics Characterization, Marwa Talal Jan 2026

Metabolic Syndrome Beyond Diagnostic Criteria: Population-Scale Integrative Metabolomics Characterization, Marwa Talal

Theses and Dissertations

Background: Metabolic syndrome (MetS) is a complex cluster of interrelated metabolic abnormalities associated with elevated cardiometabolic risk. While diagnosis is based on well-established five clinical criteria, these may overlook early or atypical metabolic alterations. Large-scale metabolomic profiling offers an opportunity to identify biochemical signatures of MetS beyond diagnostic bias and to evaluate their relative importance across different presentations of the syndrome.

Methods: Data from 117,147 UK Biobank participants were analyzed in a cross-sectional design. High-throughput NMR quantified 75 circulating metabolites, for. Univariate analyses, MetS subtype stratification, and elastic net models with SHAP interpretation were applied to assess feature …


Hyperglycemia Detection From Sigle - Lead Ecg Using A Hybrid Cnn & Transformer Model, Adam Ayomikun Ogunjembola Jan 2026

Hyperglycemia Detection From Sigle - Lead Ecg Using A Hybrid Cnn & Transformer Model, Adam Ayomikun Ogunjembola

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract
Hyperglycemia Detection from Single-Lead ECG using a Hybrid CNN & Transformer Model
Adam Ogunjembola

Diabetes Mellitus is known as high blood glucose. This high blood glucose level happens when the body has a problem with producing or using insulin. Insulin is a very important hormone that the pancreas makes to control how much glucose gets into the bloodstream and cells. Diabetes Mellitus has an effect on the body if it is not treated, such as damaging the blood vessels and nerves which can lead to stroke, kidney failure, heart attack and permanent loss of vision. Since people with diabetes …


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 Jan 2026

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 …


Lysine Demethylase 4a Is A Centrosome-Associated Protein Required For Centrosome Integrity And Genomic Stability, Pratim Chowdhury, Xiaoli Wang, Richard I Han, Manga Motrapu, Ashley G Boice, Yuya Nakatani, Sofia Vargas-Hernandez, Julia F Love, Claude Chew, Sandra L Grimm, Dereck Mezquita, Frank M Mason, Elisabeth D Martinez, Cristian Coarfa, Cheryl L Walker, Anna-Karin Gustavsson, Ruhee Dere Jan 2026

Lysine Demethylase 4a Is A Centrosome-Associated Protein Required For Centrosome Integrity And Genomic Stability, Pratim Chowdhury, Xiaoli Wang, Richard I Han, Manga Motrapu, Ashley G Boice, Yuya Nakatani, Sofia Vargas-Hernandez, Julia F Love, Claude Chew, Sandra L Grimm, Dereck Mezquita, Frank M Mason, Elisabeth D Martinez, Cristian Coarfa, Cheryl L Walker, Anna-Karin Gustavsson, Ruhee Dere

Faculty, Staff and Students Publications

Centrosomes play a fundamental role in nucleating and organizing microtubules in the cell and are vital for faithful chromosome segregation and maintenance of genomic stability. Loss of structural or functional integrity of centrosomes causes genomic instability and is a driver of oncogenesis. Here we identify lysine demethylase 4A (KDM4A), an epigenetic 'eraser' of chromatin methyl marks, as a centrosome-localized protein, visualized at the nanometer-scale resolution. We additionally uncovered that KDM4A demethylase enzymatic activity is required to maintain centrosome homeostasis and integrity; a previously unknown functionality unlinked to altered expression of genes regulating centrosome number. We find that KDM4A interacts with …


Blood Flow Regulates Metabolism In Hematopoietic Development, Pamela L Wenzel Jan 2026

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 …


Empowering Through Structured Boundaries: An Integral Model For Fostering Balanced Eating And Nutritional Well-Being, Citrine Elatrash, Colleen Macke, Jenna Shi, Theresa Wilson, Sarah H Elsea, Stephanie Sisley Jan 2026

Empowering Through Structured Boundaries: An Integral Model For Fostering Balanced Eating And Nutritional Well-Being, Citrine Elatrash, Colleen Macke, Jenna Shi, Theresa Wilson, Sarah H Elsea, Stephanie Sisley

Faculty, Staff and Students Publications

Purpose: Treating obesity in complex disorders requires individualized health management plans. Effective obesity management in the Smith-Magenis syndrome (SMS) population has multiple inherent barriers related to their cognitive impairments, anxiety, behavioral disturbances, and sleep disorders. However, to date, no research exists related to strategies caregivers successfully employ to help individuals with SMS manage their food intake and mitigate associated behaviors.

Methods: We performed a qualitative thematic analysis of group interviews from 23 caregivers representing 21 individuals with SMS. Hybrid thematic analysis revealed that successful strategies employed by caregivers in this unique population revolved around a global theme of Empowering Through …


Mir-302 Regulates Pancreatic Progenitor Pool And Pancreatic Size, Ziyue Z Yang, Caroline G Snider, Ronald J Parchem Jan 2026

Mir-302 Regulates Pancreatic Progenitor Pool And Pancreatic Size, Ziyue Z Yang, Caroline G Snider, Ronald J Parchem

Faculty, Staff and Students Publications

Disruptions in pancreatic development can lead to health issues such as pancreatic agenesis and congenital diabetes mellitus. Understanding pancreatic organogenesis is critical for elucidating disease mechanisms and developing regenerative therapies. The pancreas consists of endocrine and exocrine cells, both of which are derived from multipotent progenitor cells (MPCs). MPC proliferation and differentiation are tightly controlled by multiple mechanisms, including post-transcriptional regulation by miRNAs. However, these regulatory factors are not fully understood. Here, we profiled miRNA expression in MPCs and identified that mir-302 was highly enriched during the earliest stages of pancreatic development. Loss of mir-302 resulted in reduced pancreatic size …


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 Jan 2026

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 …


Negotiating Health: A Qualitative Analysis Of Home Smoking Rules Among Families With Medically Vulnerable Infants, Yolanda R Villarreal, Thomas F Northrup, Stephen M Fischer, Jackson S Norwood, Angela L Stotts Jan 2026

Negotiating Health: A Qualitative Analysis Of Home Smoking Rules Among Families With Medically Vulnerable Infants, Yolanda R Villarreal, Thomas F Northrup, Stephen M Fischer, Jackson S Norwood, Angela L Stotts

Faculty, Staff and Student Publications

Introduction: Approximately 5000 child deaths are attributed to secondhand smoke exposure (SHSe) annually, which is three times the number of childhood cancers combined. Infants, medically fragile infants, are highly vulnerable to the harmful effects of SHSe, including respiratory infections and sudden infant death syndrome. While having a home smoking ban may mitigate these risks, implementation remains a challenge for many families. Our primary aim was to explore the familial and sociocultural factors associated with smoking-ban initiation and maintenance in households with medically fragile infants.

Methods: Qualitative interviews were conducted with 20 mothers participating in a behavioral intervention from 2015 to …


The Effects Of Measurement Errors On Minimum Ablative Margins After Thermal Ablation Of Liver Tumors: A Simulation Study, Iwan Paolucci, Jessica Albuquerque, Noreen S Siddiqi, A Kyle Jones, Kristy K Brock, Bruno C Odisio Jan 2026

The Effects Of Measurement Errors On Minimum Ablative Margins After Thermal Ablation Of Liver Tumors: A Simulation Study, Iwan Paolucci, Jessica Albuquerque, Noreen S Siddiqi, A Kyle Jones, Kristy K Brock, Bruno C Odisio

Faculty, Staff and Student Publications

Purpose: To develop a mathematical framework to estimate the in silico A0 threshold based on the technical specifications of a specific ablation confirmation software package for thermal ablation of liver tumors that can then be used to identify the impact of different sources of error.

Methods: To estimate in silico A0 thresholds, we developed a simulation framework incorporating technical parameters and biological effects. Technical parameters were segmentation error, registration error, and slice thickness, and biological effects were tissue shrinkage and microscopic satellite lesions; these parameters and effects were all modeled using statistical distributions. For each permutation of parameters, a logistic …