Life Sciences Commons^™

Towards Fair Decentralized Benchmarking Of Healthcare Ai Algorithms With The Federated Tumor Segmentation (Fets) Challenge, Maximilian Zenk, Ujjwal Baid, Sarthak Pati, Akis Linardos, Brandon Edwards, Micah Sheller, Patrick Foley, Alejandro Aristizabal, David Zimmerer, Alexey Gruzdev, Jason Martin, Russell T Shinohara, Annika Reinke, Fabian Isensee, Santhosh Parampottupadam, Kaushal Parekh, Ralf Floca, Hasan Kassem, Bhakti Baheti, Siddhesh Thakur, Verena Chung, Kaisar Kushibar, Karim Lekadir, Meirui Jiang, Youtan Yin, Hongzheng Yang, Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng, Xiaofan Zhang, Shaoting Zhang, Muhammad Irfan Khan, Mohammad Ayyaz Azeem, Mojtaba Jafaritadi, Esa Alhoniemi, Elina Kontio, Suleiman A Khan, Leon Mächler, Ivan Ezhov, Florian Kofler, Suprosanna Shit, Johannes C Paetzold, Timo Loehr, Benedikt Wiestler, Himashi Peiris, Kamlesh Pawar, Shenjun Zhong, Zhaolin Chen, Munawar Hayat, Gary Egan, Mehrtash Harandi, Ece Isik Polat, Gorkem Polat, Altan Kocyigit, Alptekin Temizel, Anup Tuladhar, Lakshay Tyagi, Raissa Souza, Nils D Forkert, Pauline Mouches, Matthias Wilms, Vishruth Shambhat, Akansh Maurya, Shubham Subhas Danannavar, Rohit Kalla, Vikas Kumar Anand, Ganapathy Krishnamurthi, Sahil Nalawade, Chandan Ganesh, Ben Wagner, Divya Reddy, Yudhajit Das, Fang F Yu, Baowei Fei, Ananth J Madhuranthakam, Joseph Maldjian, Gaurav Singh, Jianxun Ren, Wei Zhang, Ning An, Qingyu Hu, Youjia Zhang, Ying Zhou, Vasilis Siomos, Giacomo Tarroni, Jonathan Passerrat-Palmbach, Ambrish Rawat, Giulio Zizzo, Swanand Ravindra Kadhe, Jonathan P Epperlein, Stefano Braghin, Yuan Wang, Renuga Kanagavelu, Qingsong Wei, Yechao Yang, Yong Liu, Krzysztof Kotowski, Szymon Adamski, Bartosz Machura, Wojciech Malara, Lukasz Zarudzki, Jakub Nalepa, Yaying Shi, Hongjian Gao, Salman Avestimehr, Yonghong Yan, Agus S Akbar, Ekaterina Kondrateva, Hua Yang, Zhaopei Li, Hung-Yu Wu, Johannes Roth, Camillo Saueressig, Alexandre Milesi, Quoc D Nguyen, Nathan J Gruenhagen, Tsung-Ming Huang, Jun Ma, Har Shwinder H Singh, Nai-Yu Pan, Dingwen Zhang, Ramy A Zeineldin, Michal Futrega, Yading Yuan, Gian Marco Conte, Xue Feng, Quan D Pham, Yong Xia, Zhifan Jiang, Huan Minh Luu, Mariia Dobko, Alexandre Carré, Bair Tuchinov, Hassan Mohy-Ud-Din, Saruar Alam, Anup Singh, Nameeta Shah, Weichung Wang, Chiharu Sako, Michel Bilello, Satyam Ghodasara, Suyash Mohan, Christos Davatzikos, Evan Calabrese, Jeffrey Rudie, Javier Villanueva-Meyer, Soonmee Cha, Christopher Hess, John Mongan, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, Raymond Y Huang, Ken Chang, Minh-Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Ker Kovský, Tereza Kopr Ivová, Marek Dostál, Václav Vybíhal, Marco C Pinho, James Holcomb, Marie Metz, Rajan Jain, Matthew D Lee, Yvonne W Lui, Pallavi Tiwari, Ruchika Verma, Rohan Bareja, Ipsa Yadav, Jonathan Chen, Neeraj Kumar, Yuriy Gusev, Krithika Bhuvaneshwar, Anousheh Sayah, Camelia Bencheqroun, Anas Belouali, Subha Madhavan, Rivka R Colen, Aikaterini Kotrotsou, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J Preetha, Felix Sahm, Martin Bendszus, Wolfgang Wick, Abhishek Mahajan, Carmen Balaña, Jaume Capellades, Josep Puig, Yoon Seong Choi, Seung-Koo Lee, Jong Hee Chang, Sung Soo Ahn, Hassan F Shaykh, Alejandro Herrera-Trujillo, Maria Trujillo, William Escobar, Ana Abello, Jose Bernal, Jhon Gómez, Pamela Lamontagne, Daniel S Marcus, Mikhail Milchenko, Arash Nazeri, Bennett Landman, Karthik Ramadass, Kaiwen Xu, Silky Chotai, Lola B Chambless, Akshitkumar Mistry, Reid C Thompson, Ashok Srinivasan, J Rajiv Bapuraj, Arvind Rao, Nicholas Wang, Ota Yoshiaki, Toshio Moritani, Sevcan Turk, Joonsang Lee, Snehal Prabhudesai, John Garrett, Matthew Larson, Robert Jeraj, Hongwei Li, Tobias Weiss, Michael Weller, Andrea Bink, Bertrand Pouymayou, Sonam Sharma, Tzu-Chi Tseng, Saba Adabi, Alexandre Xavier Falcão, Samuel B Martins, Bernardo C A Teixeira, Flávia Sprenger, David Menotti, Diego R Lucio, Simone P Niclou, Olivier Keunen, Ann-Christin Hau, Enrique Pelaez, Heydy Franco-Maldonado, Francis Loayza, Sebastian Quevedo, Richard Mckinley, Johannes Slotboom, Piotr Radojewski, Raphael Meier, Roland Wiest, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Pamela Guevara, Esteban Torche, Cristobal Mendoza, Franco Vera, Elvis Ríos, Eduardo López, Sergio A Velastin, Joseph Choi, Stephen Baek, Yusung Kim, Heba Ismael, Bryan Allen, John M Buatti, Peter Zampakis, Vasileios Panagiotopoulos, Panagiotis Tsiganos, Sotiris Alexiou, Ilias Haliassos, Evangelia I Zacharaki, Konstantinos Moustakas, Christina Kalogeropoulou, Dimitrios M Kardamakis, Bing Luo, Laila M Poisson, Ning Wen, Martin Vallières, Mahdi Ait Lhaj Loutfi, David Fortin, Martin Lepage, Fanny Morón, Jacob Mandel, Gaurav Shukla, Spencer Liem, Gregory S Alexandre, Joseph Lombardo, Joshua D Palmer, Adam E Flanders, Adam P Dicker, Godwin Ogbole, Dotun Oyekunle, Olubunmi Odafe-Oyibotha, Babatunde Osobu, Mustapha Shu'aibu Hikima, Mayowa Soneye, Farouk Dako, Adeleye Dorcas, Derrick Murcia, Eric Fu, Rourke Haas, John A Thompson, David Ryan Ormond, Stuart Currie, Kavi Fatania, Russell Frood, Amber L Simpson, Jacob J Peoples, Ricky Hu, Danielle Cutler, Fabio Y Moraes, Anh Tran, Mohammad Hamghalam, Michael A Boss, James Gimpel, Deepak Kattil Veettil, Kendall Schmidt, Lisa Cimino, Cynthia Price, Brian Bialecki, Sailaja Marella, Charles Apgar, Andras Jakab, Marc-André Weber, Errol Colak, Jens Kleesiek, John B Freymann, Justin S Kirby, Lena Maier-Hein, Jake Albrecht, Peter Mattson, Alexandros Karargyris, Prashant Shah, Bjoern Menze, Klaus Maier-Hein, Spyridon Bakas

Faculty, Staff and Student Publications

Computational competitions are the standard for benchmarking medical image analysis algorithms, but they typically use small curated test datasets acquired at a few centers, leaving a gap to the reality of diverse multicentric patient data. To this end, the Federated Tumor Segmentation (FeTS) Challenge represents the paradigm for real-world algorithmic performance evaluation. The FeTS challenge is a competition to benchmark (i) federated learning aggregation algorithms and (ii) state-of-the-art segmentation algorithms, across multiple international sites. Weight aggregation and client selection techniques were compared using a multicentric brain tumor dataset in realistic federated learning simulations, yielding benefits for adaptive weight aggregation, and …

Dr Kinase: Predicting The Drug-Resistance Hotspots Of Protein Kinases, Shaofeng Lin, Chao Tu, Ruifeng Hu, Haiji Wang, Zongcheng Dong, Hui Luo, Lan Kuang, Tao Wang, Liming Wang, Zhongming Zhao, Zhihong Li, Haodong Xu

Faculty, Staff and Student Publications

Protein kinases (PKs) regulate various cellular functions, and are targeted by small-molecule kinase inhibitors (KIs) in cancers and other diseases. However, drug resistance (DR) of KIs occurs through critical mutations in four types of representative hotspots, including gatekeeper, G-loop, αC-helix, and A-loop. KI DR has become a common clinical complication affecting multiple cancers, targeted kinases, and drugs. To tackle this challenge, we report an upgraded web server, namely Dr. Kinase, for predicting the loci of four DR hotspots and assessing effects of mutations on DR hotspots for PKs in our previous studies, by utilizing multimodal features and deep hybrid learning. …

Pan-Cancer Immune And Stromal Deconvolution Predicts Clinical Outcomes And Mutation Profiles, Bhavneet Bhinder, Verena Friedl, Sunantha Sethuraman, Davide Risso, Kami E Chiotti, R Jay Mashl, Kyle P Ellrott, Jordan A Lee, Christopher K Wong, Kofi Gyan, Aditya Deshpande, Marcin Imielinski, Rohan Bareja, Josh Stuart, Myron Peto, Katherine A Hoadley, Alexander J Lazar, Andrew D Cherniack, Jingchun Zhu, Shaolong Cao, Mark Rubin, Wenyi Wang, Oliver F Bathe, Nicolas Robine, Li Ding, Peter W Laird, Wanding Zhou, Hui Shen, Vésteinn Thorsson, Jen Jen Yeh, Matthew H Bailey, Daniel Cui Zhou, Xianlu L Peng, Mary Goldman, Yongsheng Li, Anil Korkut, Nidhi Sahni, D Neil Hayes, Michael K A Mensah, Ina Felau, Anab Kemal, Samantha Caesar-Johnson, John A Demchok, Liming Yang, Martin L Ferguson, Roy Tarnuzzer, Zhining Wang, Jean C Zenklusen, Paul Spellman, Olivier Elemento

Faculty, Staff and Student Publications

Traditional gene expression deconvolution methods assess a limited number of cell types, therefore do not capture the full complexity of the tumor microenvironment (TME). Here, we integrate nine deconvolution tools to assess 79 TME cell types in 10,592 tumors across 33 different cancer types, creating the most comprehensive analysis of the TME. In total, we found 41 patterns of immune infiltration and stroma profiles, identifying heterogeneous yet unique TME portraits for each cancer and several new findings. Our findings indicate that leukocytes play a major role in distinguishing various tumor types, and that a shared immune-rich TME cluster predicts better …

Supporting Patients With Advanced Cancer And Their Spouses In Parenting Minor Children: Results Of A Randomized Controlled Trial, Kathrin Milbury, Sujin Ann-Yi, Meagan S Whisenant, Morgan Jones, Yisheng Li, Victoria Necroto, Sania D Yousuf, Mariana Chavez-Macgregor, Larrisa Meyers, Eduardo Bruera

Faculty, Staff and Student Publications

Introduction: Patients with advanced cancer and their spousal caregivers who parent minor children report unmet parenting concerns and increased psychological distress. Seeking to address these important supportive care needs, this RCT examined the feasibility, acceptability, and initial evidence for the efficacy of a novel psychosocial intervention.

Patients and methods: Patients with a metastatic solid malignancy and their spouses completed self-reported validated assessments of psychological symptoms and cancer-related parenting outcomes and were then randomized to the parent support intervention or a usual care (UC) group. Both groups were reassessed 6 and 12 weeks later. Dyads randomized to the counselor-led intervention attended …

Improving Genetics Equity: Identifying Women Eligible For Genetic Care Services Using Mammography Clinics In Underserved Areas As Screening Hubs, Darya Kizub, Rachel Bluebond, Sierra Green, Jessica Duckworth, Sreejesh Shanker, Autumn Vara, Banu Arun

Faculty, Staff and Student Publications

PURPOSE: Fewer than 20% of underserved individuals undergo guideline-concordant hereditary breast and ovarian cancer (HBOC) genetic testing (GT). Our study aimed to determine the proportion of women eligible for HBOC GT using a cancer genetics risk assessment (CGRA) tool at breast cancer (BC) screening clinics in underserved communities and to describe the program's impact.

METHODS: Participants were women who presented for BC screening at The Rose clinics, serving low-income underserved communities in southeast Texas, and completed the CGRA. High-risk individuals received bilingual educational materials and a saliva-based GT kit. Those with a pathogenic variant (PV) or a variant of uncertain …

Direct Inhibition Of Ras Reveals The Features Of Oncogenic Signaling Driven By Ras G12 And Q61 Mutations, Michelangelo Marasco, Dinesh Kumar, Santiago Garcia Borrego, Tessa Seale, Giulia Maddalena, Riccardo Mezzadra, Kylie Belanger, Soren Cole, Brayan Perez, Wei Luan, Radha Mukherjee, Ilinca Aricescu, Vladimir Markov, Yuxin Zhu, Sabrina Arena, Alberto Bardelli, Elisa De Stanchina, Scott W Lowe, Richard A Burkhart, Jacquelyn W Zimmerman, Rona Yaeger, Scott E Kopetz, Neal Rosen, Sandra Misale

Faculty, Staff and Student Publications

RAS genes are frequently mutated in cancer, often at codons 12 and 61. With the recent introduction of RAS inhibitors, we can now directly investigate the effects of specific RAS mutations in cancer cells. In this study, we demonstrate that in tumors with RASG12X mutations, mutant RAS can be activated by receptor tyrosine kinases (RTK), and PI3K activation is dependent on mutant RAS. Conversely, RASQ61X mutations activate the MAPK cascade independently of RTKs, and inhibition of RASQ61X impairs MAPK pathway activation but leaves the PI3K pathway unaffected. Our characterization of these distinct features of G12X and Q61X mutations suggests that …

Transcriptomic And Histological Characteristics Of Innate Immune Activation In Brain Parenchyma In A Rat Model Of Neonatal Intraventricular Hemorrhage, Miriam Zamorano, Sanjna Udtha, Aidan M Collier, Erica Underwood, Razan El Sayed, Ankit Agarwal, Devin S Hatchell, Chunfeng Tan, Paul J Nietert, Scott D Olson, Brandon A Miller

Faculty, Staff and Student Publications

Background: Intraventricular hemorrhage (IVH) remains a major complication in preterm infants with lifelong sequelae. There is no effective treatment for IVH other than supportive care and surgery for post-hemorrhagic hydrocephalus. We previously reported that the innate neuroimmune response in an animal model of IVH was dependent on developmental stage, only occurring in older animals.

Methods: This study utilized a lysed-blood injection model of IVH in rats. This model specifically captures the effects of blood products released by IVH on brain parenchyma. We performed RNAseq and differential gene expression analysis on CD11b/c-positive cells in the brain (microglia/macrophages) to define gene expression …

Ptpn11 Mutations Define A Rare But Highly Adverse Subset Of Myelodysplastic Syndromes, Alexandre Bazinet, Alex Bataller, Guillermo Montalban-Bravo, Kelly Chien, Koji Sasaki, Wei Ying Jen, Mahesh Swaminathan, Tapan Kadia, Courtney Dinardo, Farhad Ravandi, Guillermo Garcia-Manero, Hagop Kantarjian

Faculty, Staff and Student Publications

No abstract provided.

Genome-Wide Association Study For Lung Cancer In 6531 African Americans Reveals New Susceptibility Loci, Jinyoung Byun, Younghun Han, Jiyeon Choi, Ryan Sun, Vikram R Shaw, Catherine Zhu, Xiangjun Xiao, Christine Lusk, Hoda Badr, Hyun-Sung Lee, Hee-Jin Jang, Yafang Li, Hyeyeun Lim, Erping Long, Yanhong Liu, Linda Kachuri, Kyle M Walsh, John K Wiencke, Demetrius Albanes, Stephen Lam, Adonina Tardon, Marian L Neuhouser, Matt J Barnett, Chu Chen, Stig Bojesen, Hermann Brenner, Maria Teresa Landi, Mattias Johansson, Angela Risch, H-Erich Wichmann, Heike Bickeböller, David C Christiani, Gad Rennert, Susanne Arnold, John K Field, Sanjay Shete, Loic Le Marchand, Geoffrey Liu, Angeline S Andrew, Shanbeh Zienolddiny, Kjell Grankvist, Mikael Johansson, Neil Caporaso, Fiona Taylor, Philip Lazarus, Matthew B Schabath, Melinda C Aldrich, Alpa Patel, Xihong Lin, Krista A Zanetti, Curtis C Harris, Stephen Chanock, James Mckay, Ann G Schwartz, Rayjean J Hung, Christopher I Amos

Faculty, Staff and Student Publications

Despite lung cancer affecting all races and ethnicities, disparities are observed in incidence and mortality rates among different ethnic groups in the United States. Non-Hispanic African Americans had a high incidence rate of lung cancer at 55.8 per 100 000 people, as well as the highest death rate at 37.2 per 100 000 people from 2016 to 2020. While previous genome-wide association studies (GWAS) have identified over 45 susceptibility risk loci that influence lung cancer development, few GWAS have investigated the etiology of lung cancer in African Americans. To address this gap in knowledge, we conducted GWAS of lung cancer …

Irradiation Of Prostate Cancer Alters Circulating Small Extracellular Vesicle Functions, Aejaz Sayeed, Vaughn Garcia, Cecilia E. Verrillo, Rachel M. Derita, Md Niamat Hossain, Shiv R. Krishn, Samuel Sey, Christopher D. Shields, Adrian D. Altieri, Qin Liu, Khalid Sossey-Alaoui, William K. Kelly, Lucia R. Languino

Department of Pharmacology, Physiology, and Cancer Biology Faculty Papers

It is known that β1 integrins and a downstream signaling molecule c-Src are upregulated in prostate cancer (PrCa) tissues, are co-expressed in circulating small extracellular vesicles (sEVs) and contribute to cancer progression. Here, we demonstrate that sEVs from PrCa patients show robust expression of both β1 integrins and c-Src. The impact of irradiation, a widely used therapy for the treatment of PrCa, on circulating sEVs is however not fully understood. We show that sEVs isolated from the plasma of transgenic adenocarcinoma of mouse prostate (TRAMP) mice, stimulate migration and anchorage-independent growth of recipient cancer cells, but sEVs are not active …

Z-Scores Outperform Similar Methods For Analyzing Crispr Paralog Synthetic Lethality Screens, Juihsuan Chou, Nazanin Esmaeili Anvar, Reem Elghaish, Junjie Chen, Traver Hart

Faculty, Staff and Student Publications

Genetic screens offer a promising strategy for identifying tumor-specific therapeutic targets, but single-gene knockout screens often miss functionally redundant paralogs. Multiplex Cas9 and Cas12a CRISPR systems have been deployed to assay genetic interactions, but analysis pipelines vary considerably. Here we evaluate data from four in4mer CRISPR/Cas12a screens in cancer cell lines, using delta log fold change, Z-transformed dLFC, and rescaled dLFC approaches to identify synthetic lethal interactions. Both ZdLFC and RdLFC provide more consistent identification of synthetic lethal pairs across cell lines compared to the unscaled dLFC method, while ZdLFC benefits from not requiring a training set of known interactors.

Cat: A Conditional Association Test For Microbiome Data Using A Permutation Approach, Yushu Shi, Liangliang Zhang, Kim-Anh Do, Robert R Jenq, Christine B Peterson

Faculty, Staff and Student Publications

In microbiome analysis, researchers often seek to identify taxonomic features associated with an outcome of interest. However, microbiome features are intercorrelated and linked by phylogenetic relationships, making it challenging to assess the association between an individual feature and an outcome. This paper proposes a novel conditional association test, CAT, that can account for other features and phylogenetic relatedness when testing the association between a feature and an outcome. CAT adopts a permutation approach, measuring the importance of a feature in predicting the outcome by permuting operational taxonomic unit/amplicon sequence variant counts belonging to that feature from the data and quantifying …

Pol Θ-Mediated End-Joining Uses Microhomologies Containing Mismatches, Yuzhen Li, Ngoc K Dang, Wei He, Mark Returan, Denisse Carvajal-Maldonado, Adele T Guerin, Han Xu, Bin Liu, Richard D Wood

Faculty, Staff and Student Publications

DNA polymerase theta (Pol θ) initiates repair of DNA double-strand breaks by pairing single strands at short "microhomologies". It is important to understand microhomology selection, as some cancer cells rely on Pol θ for survival. Here, we investigate end-joining by purified human Pol θ, employing DNA sequencing of products generated from oligonucleotide libraries having diverse 3' ends. Pol θ overwhelmingly selects short internal microhomologies found within 15 nucleotides of the terminus of single-stranded DNAs, restricting deletion size during end-joining. Significantly, we find that the selected microhomologies are usually interrupted by mismatches and that base pairing within 6 nucleotides of the …

Immature Acta2r179c/+ Smooth Muscle Cells Cause Moyamoya-Like Cerebrovascular Lesions In Mice Prevented By Boosting Oxphos, Anita Kaw, Suravi Majumder, Jose E Esparza Pinelo, Ting Wu, Zbigniew Starosolski, Zhen Zhou, Albert J Pedroza, Xueyan Duan, Kaveeta Kaw, Angie D Gonzalez, Ripon Sarkar, Michael P Fischbein, Philip L Lorenzi, Lin Tan, Sara A Martinez, Iqbal Mahmud, Laxman Devkota, L Maximilian Buja, Heinrich Taegtmeyer, Ketan B Ghaghada, Sean P Marrelli, Callie S Kwartler, Dianna M Milewicz

Faculty, Staff and Student Publications

ACTA2 pathogenic variants altering arginine 179 cause childhood-onset strokes due to moyamoya disease (MMD)-like occlusions of the distal internal carotid arteries, but the mechanisms of pathogenesis are unknown and no preventive treatments exist. Here we show that Acta2R179C/+ smooth muscle cells (SMCs) fail to fully differentiate and maintain stem cell-like features, including increased migration and glycolytic flux compared to wildtype (WT) SMCs. Increasing mitochondrial respiration with nicotinamide riboside (NR) drives differentiation and decreases migration of Acta2R179C/+ SMCs. Carotid artery injury of Acta2SMC-R179C/+ mice leads to premature death, intraluminal SMC accumulation leading to MMD-like occlusive lesions, neurologic symptoms, …

The Diabetes Prevention Program And Its Outcomes Study: Niddk's Journey Into The Prevention Of Type 2 Diabetes And Its Public Health Impact, Jill P Crandall, Dana Dabelea, William C Knowler, David M Nathan, Marinella Temprosa, Dpp Research Group

Children’s Nutrition Research Center Staff Publications

The current-day epidemic of type 2 diabetes, largely driven by increased adiposity and reduced physical activity in the setting of genetic susceptibility, is a major public health challenge. The National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) presciently proposed the Diabetes Prevention Program (DPP), a multicenter randomized clinical trial, designed by investigators in conjunction with NIDDK staff and initiated in 1996. The primary goal of DPP was to determine whether an intensive lifestyle intervention (ILS) or metformin in comparison with placebo would reduce the development of diabetes in a high-risk population with prediabetes. After mean 2.8 years, ILS …

The Influence Of Human Presence And Footprint On Animal Space Use In Us National Parks, Kaitlyn M. Gaynor, Forest P. Hayes, Kezia Manlove, Nathan Galloway, John F. Benson, Michael J. Cherry, Rolf O. Peterson, Sarah Hoy, John Vucetich, Et Al.

Michigan Tech Publications

Given the importance of protected areas for biodiversity, the growth of visitation to many areas has raised concerns about the effects of humans on wildlife. In 2020, the COVID-19 pandemic led to temporary closure of national parks in the United States, offering a pseudonatural experiment to tease apart the effects of permanent infrastructure and transient human presence on animals. We compiled GPS tracking data from 229 individuals of 10 mammal species in 14 parks and used third-order hierarchical resource selection functions to evaluate the influence of the human footprint on animal space use in 2019 and 2020. Averaged across all …

Cdemapper: Enhancing National Institutes Of Health Common Data Element Use With Large Language Models, Yan Wang, Jimin Huang, Huan He, Vincent Zhang, Yujia Zhou, Xubing Hao, Pritham Ram, Lingfei Qian, Qianqian Xie, Ruey-Ling Weng, Fongci Lin, Yan Hu, Licong Cui, Xiaoqian Jiang, Hua Xu, Na Hong

Faculty, Staff and Student Publications

Objective: Common Data Elements (CDEs) standardize data collection and sharing across studies, enhancing data interoperability and improving research reproducibility. However, implementing CDEs presents challenges due to the broad range and variety of data elements. This study aims to develop a CDE mapping tool to bridge the gap between local data elements and National Institutes of Health (NIH) CDEs.

Methods: We propose CDEMapper, a large language model (LLM)-powered mapping tool designed to assist in mapping local data elements to NIH CDEs. CDEMapper has 3 core modules: (1) CDE indexing and embeddings. NIH CDEs were indexed and embedded to support semantic search; …

Evaluating Large Language Model Performance To Support The Diagnosis And Management Of Patients With Primary Immune Disorders, Nicholas L Rider, Yingya Li, Aaron T Chin, Daniel V Digiacomo, Cullen Dutmer, Jocelyn R Farmer, Kirk Roberts, Guergana Savova, Mei-Sing Ong

Faculty, Staff and Student Publications

Background: Generative artificial intelligence (GAI) is transforming health care in a variety of ways; however, the present utility of GAI for supporting clinicians who treat rare disease such as primary immune disorders (PIs) is not well studied. We evaluated the ability of 6 state-of-the-art large language models (LLMs) for providing clinical guidance about PIs.

Objective: To quantitatively and qualitatively measure the utility of current, open-source LLMs for diagnosing and providing helpful clinical decision support about PIs.

Methods: Five expert clinical immunologists each provided 5 real-world, anonymized PI case vignettes via multi-turn prompting to 6 LLMs (OpenAI GPT-4o, Llama-3.1-8B-Instruct, Llama-3.1-70B-Instruct, Mistral-7B-Instruct-v0.3, …

The Landscape Of Malignant Transition: Unraveling Cancer Cell-Of-Origin And Heterogeneous Tissue Microenvironment, Ruihan Luo, Jiajia Liu, Tiangang Wang, Weiling Zhao, Yanfei Wang, Jianguo Wen, Hongyu Wang, Shanli Ding, Xiaobo Zhou

Faculty, Staff and Student Publications

Understanding disease progression and sophisticated tumor ecosystems is imperative for investigating tumorigenesis mechanisms and developing novel prevention strategies. Here, we dissected heterogeneous microenvironments during malignant transitions by leveraging data from 1396 samples spanning 13 major tissues. Within transitional stem-like subpopulations highly enriched in precancers and cancers, we identified 30 recurring cellular states strongly linked to malignancy, including hypoxia and epithelial senescence, revealing a high degree of plasticity in epithelial stem cells. By characterizing dynamics in stem-cell crosstalk with the microenvironment along the pseudotime axis, we found differential roles of ANXA1 at different stages of tumor development. In precancerous stages, reduced …

Kap1 Promotes Gastric Adenocarcinoma Progression By Activating Hippo/Yap1 Signaling Via Binding To Hnrnpab, Shumei Song, Yibo Fan, Gengyi Zou, Longfei Huo, Janani Kumar, Yuan Li, Ruiping Wang, Enyu Dai, Jiankang Jin, Ailing W Scott, Shan Shao, Melissa Pool Pizzi, Jody V Vykoukal, Hiroyuki Katayama, Samir Hanash, George A Calin, Xing Zhang, Min Gyu Lee, Zhenning Wang, Yuan-Hung Lo, Qiong Gan, Rebecca E Waters, Feng Yin, Linghua Wang, Xiaodong Cheng, Jaffer A Ajani, Shilpa S Dhar

Faculty, Staff and Student Publications

Gastric adenocarcinoma (GAC) remains a significant global health challenge, with over a million new cases annually. Peritoneal carcinomatosis (PC), detected in ∼20 % of cases at diagnosis and ∼45 % later, is uniformly fatal, with limited treatment options. This study investigated the role of KAP1 in GAC progression, focusing on its interaction with YAP1 and cancer stemness traits. Analysis of over 596 primary GACs and 72 PC samples revealed that high nuclear KAP1 expression correlates with poor prognosis. KAP1 knockdown reduced oncogenic activity and stemness traits in GAC cells. Mechanistically, KAP1 positively regulates YAP1 transcription by binding to its promoter …

Impacts Of Radiation On Metabolism And Vascular Cell Senescence, Junichi Abe, Khanh Chau, Anahita Mojiri, Guangyu Wang, Masayoshi Oikawa, Venkata S K Samanthapudi, Abigail M Osborn, Keila C Ostos-Mendoza, Karla N Mariscal-Reyes, Tammay Mathur, Abhishek Jain, Joerg Herrmann, Syed Wamique Yusuf, Sunil Krishnan, Anita Deswal, Steven H Lin, Sivareddy Kotla, John P Cooke, Nhat-Tu Le

Faculty, Staff and Student Publications

Significance: This review investigates how radiation therapy (RT) increases the risk of delayed cardiovascular disease (CVD) in cancer survivors. Understanding the mechanisms underlying radiation-induced CVD is essential for developing targeted therapies to mitigate these effects and improve long-term outcomes for patients with cancer.

Recent Advances: Recent studies have primarily focused on metabolic alterations induced by irradiation in various cancer cell types. However, there remains a significant knowledge gap regarding the role of chronic metabolic alterations in normal cells, particularly vascular cells, in the progression of CVD after RT.

Critical Issues: This review centers on RT-induced metabolic alterations in vascular cells …

Metabolic Clearance Rate Of Insulin Across The Glucose Tolerance Spectrum By Race And Ethnicity In Youth With Obesity, Wonhee Cho, Fida Bacha, Hala Tfayli, Sojung Lee, Sara F Michaliszyn, Joon Young Kim, Silva Arslanian

Children’s Nutrition Research Center Staff Publications

Objective: Despite β-cell failure in youth with dysglycemia (i.e., impaired glucose tolerance [IGT] and type 2 diabetes), fasting insulin (FI) concentrations are elevated. Herein, we examined the following: 1) metabolic clearance rate of insulin (MCRI) in youth with obesity and normal glucose tolerance (NGT) versus those with IGT versus those with type 2 diabetes; 2) racial and ethnic differences in insulin dynamics; and 3) metabolic/adiposity correlates of MCRI.

Methods: A total of 206 youth underwent assessment of fasting glucose, FI, MCRI and peripheral insulin sensitivity (PIS), first-phase insulin secretion, disposition index, body composition, and abdominal adiposity.

Results: In type 2 …

Unfolding The Mystery Of Autoimmunity: The Environmental Determinants Of Diabetes In The Young (Teddy) Study, Marian Rewers, Daniel Agardh, Suzanne Bennett Johnson, Ezio Bonifacio, Helena Elding Larsson, Patricia Gesualdo, William Hagopian, Michael J Haller, Heikki Hyöty, Randi Johnson, Richard Mcindoe, Eoin Mckinney, Jessica Melin, Åke Lernmark, Richard E Lloyd, Kristian F Lynch, Jill M Norris, Stephen S Rich, Roswith Roth, Desmond Schatz, Jorma Toppari, Eric Triplett, Kendra Vehik, Suvi M Virtanen, Anette-G Ziegler, Beena Akolkar, Jeffrey P Krischer, Teddy Study Group

Faculty, Staff and Students Publications

In 2025, the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) at the National Institutes of Health celebrates 75 years of leadership in diabetes research. The NIDDK serves people of the U.S. affected by or at risk for many chronic diseases, including diabetes and other endocrine, metabolic, and digestive disorders, by funding innovative research to develop better treatment and prevention and a cure for these conditions. Autoimmunity that leads to type 1 diabetes or celiac disease or thyroid autoimmunity affects 1 in 20 children and adolescents in the U.S. While treatments are available, prevention of these common autoimmune …

Inhibition Of The Gsk3Β/Nav16 Complex Suppresses Early-Stage Alzheimer’S Hyperexcitability, Timothy John Baumgartner, Manuel Silva-Pérez, Zahra Haghighijoo, Nolan Michael Dvorak, Aditya Kumar Singh, Nana Aboadwe Goode, Jully Singh, Berenice Gutierrez Grebenkova, Mate Marosi, Jessica Di Re, Leandra Koff, Wissarut Wijitrmektong, Manu Bala, Hanyue Liao, Marijn Lijffijt, Adam Thomas Szafran, Michael James Bolt, Michael A Mancini, Gregory D Cuny, Diana Shu-Lian Chow, Agenor Limon, Jeannie Chin, Fernanda Laezza

Faculty, Staff and Students Publications

Introduction: Network hyperexcitability (NH) is observed in patients with early-stage Alzheimer's disease (AD), emerging decades before cognitive decline. A key molecular determinant of NH is voltage-gated Na+ channel 1.6 (Nav1.6), which mediates action potential firing in CA1 hippocampal neurons. Ameliorating NH through inhibition of the glycogen-synthase kinase 3β (GSK3β/Nav1.6 complex may provide immediate benefits to cognition and memory and slow AD progression.

Methods: Hight-throughput virtual screening and multiple in vitro biological assays were utilized to identify compound 1063. Patch-clamp electrophysiology and electroencephalogram recordings were utilized to functionally assess 1063 in models of AD neuropathology.

Results: Building on previous studies identifying …

Decoding Metastatic Microenvironments Through Single-Cell Omics Reveals New Insights Into Niche Dynamics And Tumor Evolution, Fengshuo Liu, Xiang H-F Zhang

Faculty, Staff and Students Publications

Metastasis is the predominant cause of cancer mortality, primarily driven by complex tumor-host interactions within specialized metastatic niches. Recent advances in single-cell technologies have provided unprecedented insights into metastatic niche formation, evolution and function, including how primary tumors precondition distant organs for metastases and how disseminated tumor cells dynamically interact with host cells to modulate their environments. Integrated single-cell studies across multiple cancer types have also revealed divergent and convergent metastatic adaptation strategies. These findings collectively highlight metastasis as a dynamic, cooperative process shaped by intricate tumor-host interactions, and provide a foundation for novel therapeutic strategies targeting components of the …

Association Of Statin Use On Survival Outcomes Of Patients With Early-Stage Her2-Positive Breast Cancer In The Aphinity Trial, Christian Maurer, Elisa Agostinetto, Lieveke Ameye, Matteo Lambertini, Samuel Martel, Noam Ponde, Mariana Brandão, Francesca Poggio, Arlindo Ferreira, Rachel Schiff, Carmine De Angelis, Richard D Gelber, Susan Dent, Christoph Thomssen, Martine Piccart, Evandro De Azambuja

Faculty, Staff and Students Publications

Purpose: There is evidence that statins might improve the outcome of patients with breast cancer. The role of statins in patients with early HER2-positive breast cancer is unknown. Therefore, we explored the association between statin use and survival outcomes in early HER2-positive breast cancer patients in the phase III APHINITY trial (adjuvant pertuzumab/trastuzumab).

Methods: All patients (intent-to-treat population, n = 4804) were included (6.2 years median follow-up database). The primary objective was to investigate the association of statin use on invasive disease-free survival (IDFS), distant relapse-free interval (DRFI), and overall survival (OS). Patients who received statins at baseline, or started …

A Lysosomal Surveillance Response To Stress Extends Healthspan, Terytty Yang Li, Arwen W Gao, Rendan Yang, Yu Sun, Yuxuan Lei, Xiaoxu Li, Lin Chen, Yasmine J Liu, Rachel N Arey, Kimberly Morales, Raya B Liu, Wenzheng Wang, Ang Zhou, Tong-Jin Zhao, Weisha Li, Amélia Lalou, Qi Wang, Tanes Lima, Riekelt H Houtkooper, Johan Auwerx

Faculty, Staff and Students Publications

Lysosomes are cytoplasmic organelles central for the degradation of macromolecules to maintain cellular homoeostasis and health. However, how lysosomal activity can be boosted to counteract ageing and ageing-related diseases remains elusive. Here we reveal that silencing specific vacuolar H+-ATPase subunits (for example, vha-6), which are essential for intestinal lumen acidification in Caenorhabditis elegans, extends lifespan by ~60%. This longevity phenotype can be explained by an adaptive transcriptional response typified by induction of a set of transcripts involved in lysosomal function and proteolysis, which we termed the lysosomal surveillance response (LySR). LySR activation is characterized by boosted lysosomal activity …

Defining Lipedema’S Molecular Hallmarks By Multi-Omics Approach For Disease Prediction In Women, Leon G Straub, Jan-Bernd Funcke, Nolwenn Joffin, Chanmin Joung, Sara Al-Ghadban, Shangang Zhao, Qingzhang Zhu, Ilja L Kruglikov, Yi Zhu, Paul R Langlais, Ruth Gordillo, Karen L Herbst, Philipp E Scherer

Children’s Nutrition Research Center Staff Publications

Lipedema is a chronic disease in females characterized by pathologic subcutaneous adipose tissue expansion and hitherto remains without druggable targets. In this observational study, we investigated the molecular hallmarks of lipedema using an unbiased multi-omics approach. We found adipokine dysregulation in lipedema patients participating in a cross-sectional clinical study (ClinicalTrial.gov, NCT02838277), pointing towards the adipocyte as a key player. Analyses of newly generated transcriptomic (SRA, PRJNA940039) and proteomic (ProteomeXchange, PXD058489) datasets of early- and late-stage lipedema samples revealed a local downregulation of factors involved in inflammation. Concomitantly, factors involved in cellular respiration, oxidative phosphorylation, as well as in mitochondrial …

Clonal Evolution Of Hematopoietic Stem Cells After Autologous Stem Cell Transplantation, Hidetaka Uryu, Koichi Saeki, Hiroshi Haeno, Chiraag Deepak Kapadia, Ken Furudate, Jyoti Nangalia, Michael Spencer Chapman, Linda Zhang, Jennifer Padilla, Li Zhao, Joanne I Hsu, Chong Zhao, Shujuan Chen, Tomoyuki Tanaka, Zongrui Li, Satoko Ogata, Sarah Hanache, Hui Yang, Courtney Dinardo, Naval Daver, Naveen Pemmaraju, Nitin Jain, Farhad Ravandi, Jianhua Zhang, Xingzhi Song, Erika Thompson, Hongli Tang, Latasha Little, Curtis Gumbs, Robert Z Orlowski, Muzaffar Qazilbash, Kapil Bhalla, Simona Colla, Hagop Kantarjian, Rashmi Kanagal-Shamanna, Carlos Bueso-Ramos, Daisuke Nakada, Gheath Al-Atrash, Jeffery Molldrem, P Andrew Futreal, Elizabeth Shpall, Margaret Goodell, Guillermo Garcia-Manero, Koichi Takahashi

Faculty, Staff and Student Publications

The impact of exogenous stressors, such as cancer chemotherapies, on the genomic integrity and clonal dynamics of normal hematopoiesis is not well defined. We conducted whole-genome sequencing on 1,276 single-cell-derived hematopoietic stem and progenitor cell (HSPC) colonies from ten patients with multiple myeloma treated with chemotherapies and six normal donors. Melphalan treatment significantly increased the mutational burden, producing a distinctive mutation signature, whereas other chemotherapeutic agents had minimal effects. Consequently, the clonal diversity and architecture of post-treatment HSPCs resemble those observed in normal elderly individuals, particularly through the progression of oligoclonal hematopoiesis, thereby suggesting that chemotherapy accelerates clonal aging. Integrated …

Liger-Hn Phase Iii Trials Of Petosemtamab + Pembrolizumab And Petosemtamab Monotherapy In Recurrent Or Metastatic Hnscc, Jean-Pascal Machiels, Jérôme Fayette, Robert Haddad, Douglas Adkins, Maura Gillison, Kevin J Harrington, Sung-Bae Kim, Christophe Le Tourneau, Amanda Psyrri, Ari Rosenberg, Lillian L Siu, Makoto Tahara, William N William, Jim Ford, Shekeab Jauhari, Rebecca Pyle, Yu-Ming Shen, David Yao, Fabian Zohren, Everett Vokes

Faculty, Staff and Student Publications

Patients with recurrent/metastatic (r/m) head and neck squamous cell carcinoma (HNSCC) have limited treatment options and a dismal prognosis, especially when their cancer is resistant to standard treatments like anti-programmed cell death protein 1 and platinum-based therapies. Petosemtamab - a human, common light chain, bispecific antibody with enhanced antibody-dependent cellular cytotoxicity targeting epidermal growth factor receptor (EGFR) and leucine-rich repeat-containing G-protein coupled receptor 5 (LGR5) - demonstrated antitumor activity in r/m HNSCC. In many tumor types, including HNSCC, EGFR is an oncogenic driver, while LGR5 is upregulated. LGR5 can potentiate the wingless-type integration site (WNT)/β-catenin signaling pathway in response to …