Digital Commons Network^™

Association Between Allostatic Load And Accelerated White Matter Brain Aging: Findings From The Uk Biobank, Li Feng, Zhenyao Ye, Zewen Du, Yezhi Pan, Travis Canida, Hongjie Ke, Song Liu, Shuo Chen, L Elliot Hong, Peter Kochunov, Jie Chen, David K Y Lei, Edmond Shenassa, Tianzhou Ma

Faculty, Staff and Student Publications

White matter (WM) brain age, a neuroimaging-derived biomarker indicating WM microstructural changes, helps predict dementia and neurodegenerative disorder risks. The cumulative effect of chronic stress on WM brain aging remains unknown. In this study, we assessed cumulative stress using a multi-system composite allostatic load (AL) index based on inflammatory, anthropometric, respiratory, lipidemia, and glucose metabolism measures, and investigated its association with WM brain age gap (BAG), computed from diffusion tensor imaging data using a machine learning model, among 22 951 European ancestries aged 40 to 69 (51.40% women) from UK Biobank. Linear regression, Mendelian randomization, along with inverse probability weighting, …

Interactive 3d Segmentation For Primary Gross Tumor Volume In Oropharyngeal Cancer, Mikko Saukkoriipi, Jaakko Sahlsten, Joel Jaskari, Lotta Orsmaa, Jari Kangas, Nastaran Rasouli, Roope Raisamo, Jussi Hirvonen, Helena Mehtonen, Jorma Järnstedt, Antti Mäkitie, Mohamed Naser, Clifton Fuller, Benjamin Kann, Kimmo Kaski

Faculty, Staff and Student Publications

Radiotherapy is the main treatment modality of oropharyngeal cancer (OPC), in which an accurate segmentation of primary gross tumor volume (GTVt) is essential but also challenging due to significant interobserver variability and the time consumed in manual tumor delineation. For such a challenge an interactive deep learning (DL) based approach offers the advantage of automatic high-performance segmentation with the flexibility for user correction when necessary. In this study, we investigate an interactive DL for GTVt segmentation in OPC by introducing a novel two-stage Interactive Click Refinement (2S-ICR) framework and implementing state-of-the-art algorithms. Using the 2021 HEad and neCK TumOR dataset …

Integrating Ctdna Analysis And Radiomics For Dynamic Risk Assessment In Localized Lung Cancer, Everett J Moding, Mohammad Shahrokh Esfahani, Cheng Jin, Angela B Hui, Barzin Y Nabet, Yufei Liu, Jacob J Chabon, Michael S Binkley, David M Kurtz, Emily G Hamilton, Aadel A Chaudhuri, Chih Long Liu, Zhe Li, Rene F Bonilla, Alice L Jiang, Brianna C Lau, Pablo Lopez, Jianzhong He, Yawei Qiao, Ting Xu, Luyang Yao, Saumil Gandhi, Zhongxing Liao, Millie Das, Kavitha J Ramchandran, Sukhmani K Padda, Joel W Neal, Heather A Wakelee, Michael F Gensheimer, Billy W Loo, Ruijiang Li, Steven H Lin, Ash A Alizadeh, Maximilian Diehn

Faculty, Staff and Student Publications

The complementarity and clinical utility of combining liquid biopsies and radiomic image analysis has not been demonstrated. Circulating tumor DNA (ctDNA) minimal residual disease after chemoradiotherapy (CRT) for non-small cell lung cancer (NSCLC) is highly prognostic, but on-treatment biomarkers are needed to enable response-adapted therapies. Here, we analyzed 418 patients with NSCLC undergoing CRT to develop and validate a novel dynamic risk model that accurately predicts ultimate progression-free survival during treatment. We optimize tissue-free variant calling from plasma samples to facilitate ctDNA monitoring and demonstrate the importance of accounting for persistent clonal hematopoiesis variants. We show that mid-CRT ctDNA concentration …

Depletion Of Effector Regulatory T Cells Associates With Major Response To Induction Dual Immune Checkpoint Blockade, Xianli Jiang, Nils-Petter Rudqvist, Bo Jiang, Shengbin Ye, Shan He, Qingnan Liang, Jinzhuang Dou, Michelle D Williams, Joe Dan Dunn, Jason M Johnson, Keiko Akagi, Weihong Xiao, Shaoheng Liang, Satvik Elayavalli, Baohua Sun, Edwin R Parra, Renata Ferrarotto, Adam S Garden, Clifton David Fuller, Jay Reddy, Neil D Gross, Miriam N Lango, Cheuk Hong Leung, Suyu Liu, Diane D Liu, Meng Li, J Jack Lee, Michael A Curran, Jack Phan, Ken Chen, Maura L Gillison

Faculty, Staff and Student Publications

In a phase II trial, patients with local-regionally advanced human papillomavirus-positive oropharyngeal carcinoma (n = 35) received ipilimumab (anti-CTLA4) and nivolumab (anti-PD-1) as induction immunotherapy and concurrently with radiotherapy (NCT03799445). Coprimary endpoints included 6-month complete metabolic response rate (94%) and 2-year progression-free survival (84%). Induction yielded a 46% major histopathologic response rate. Single-cell profiling revealed responders had higher baseline intratumoral CD8+ T cells with a tumor-reactive, tissue-resident memory (TRM) phenotype and a treatment-related decrease in effector regulatory T (eTreg) cells. The eTreg decrease correlated with CD8+ T-cell clonotype transitioning from TRM to effector memory and IFNG+ effector cells. …

Rna Sequencing And Immunohistochemistry Jointly Improve Tumor Biomarker Interpretation, Vladimir Kushnarev, Danil Stupichev, Suren Davitavyan, Kirill Kriukov, Basavaraja U Shanthappa, Anna Butusova, Sofia Menshikova, Anna Belozerova, Anastasia Shvyrkova, Arina Tkachuk, Olga Khatenkova, Linda Balabanian, Ekaterina Postovalova, Jochen K Lennerz, Funda Meric-Bernstam, Alexander Bagaev

Faculty, Staff and Student Publications

This study aimed to assess the correlation between RNA sequencing (RNA-seq) and immunohistochemistry (IHC) in detecting key cancer biomarkers across solid tumors, and then, to establish RNA-seq thresholds that accurately reflect clinical IHC classifications. Expression levels of nine biomarkers-ESR1, PGR, AR, MKI67, ERBB2, CD274, CDX2, KRT7, and KRT20-were analyzed in 365 formalin-fixed, paraffin-embedded samples from breast, lung, gastrointestinal, and other solid carcinomas. Correlations between RNA-seq data and IHC scores were determined using Spearman's correlation coefficients, with RNA-seq cut-offs established to distinguish positive from negative IHC scores. The results revealed strong correlations for most biomarkers, with coefficients ranging from 0.53 to …

Rsph4a-Pcdx: An Index To Predict Lung Function Decline In Primary Ciliary Dyskinesia, Gabriel Román-Ríos, Gabriel Rosario-Ortiz, Marcos J Ramos-Benitez, Ricardo A Mosquera, Wilfredo De Jesús-Rojas

Faculty, Staff and Student Publications

Primary ciliary dyskinesia (PCD) is a rare, genetically heterogeneous disorder that impairs mucociliary clearance and leads to progressive lung disease. This study aimed to characterize lung function decline in a genetically homogeneous cohort of Puerto Rican patients with

Management Approaches To Spastic Gait Disorders, Sheng Li, Tulsi Pandat, Bradley Chi, Daniel Moon, Manuel Mas

Faculty, Staff and Student Publications

Spastic gait presents clinically as the net mechanical consequence of neurological impairments of spasticity, weakness, and abnormal synergies and their interactions with the ground reaction force in patients with upper motor neuron syndromes and with some neuromuscular diseases. It is critical to differentiate whether the primary problem is weakness or spasticity, thus better understanding different phenotypes of spastic gait disorders. Pelvic girdle abnormality plays a pivotal role in determining the clinical presentation of gait disorders, since it determines the body vector and compensatory kinetic chain reactions in the knee and ankle joints. Knee joint abnormality can be a mechanical compensation …

Genetic Study Of Von Willebrand Factor Antigen Levels ≤ 50 Iu/Dl Identifies Variants Associated With Increased Risk Of Von Willebrand Disease And Bleeding, Rachel K Friedman, Adam S Heath, Jennifer E Huffman, James T Baker, Natalie R Hasbani, Sarah A Gagliano Taliun, Ming-Huei Chen, Tom E Howard, Joshua P Lewis, Nathan Pankratz, Snehal Patil, Alex P Reiner, Florian Thibord, Lisa R Yanek, Jie Yao, Hung-Hsin Chen, Joanne E Curran, Nauder Faraday, Xiuqing Guo, Marsha M Wheeler, Kathleen A Ryan, Xiang Zhou, Kelly Cho, Laura Almasy, Paul L Auer, Lewis C Becker, Peter W F Wilson, Eric Boerwinkle, Jeffrey R O'Connell, Stephen S Rich, David C Samuels, National Heart, Lung And Blood Institute (Nhlbi) Trans-Omics For Precision Medicine (Topmed) Consortium, Topmed Hematology & Hemostasis Working Group, Va Million Veteran Program, John Blangero, Myriam Fornage, Charles Kooperberg, Rasika A Mathias, Braxton D Mitchell, Jerome I Rotter, Andrew D Johnson, Nicholas L Smith, Zeynep H Coban-Akdemir, Jennifer E Below, Alanna C Morrison, Jill M Johnsen, Paul S De Vries

Faculty, Staff and Student Publications

Background: von Willebrand disease (VWD) is a common inherited bleeding disorder caused by low levels or activity of circulating von Willebrand factor (VWF). Genetic susceptibility to VWF antigen (VWF:Ag) below normal (≤ 50 IU/dL) in the general population is underexplored.

Objectives: To identify genetic variants influencing VWF:Ag levels ≤ 50 IU/dL.

Methods: We performed a genome-wide association study in 926 cases with VWF:Ag levels ≤ 50 IU/dL and 12 846 controls from 7 studies from the Trans-Omics for Precision Medicine program. We then examined whether significant genome-wide findings were also associated with clinical diagnosis of VWD in 5 biobanks with …

Linking Chronic Kidney Disease To Incident Heart Failure And Adverse Cardiac Remodeling Through The Plasma Proteome: The Aric Study, Leo F Buckley, Pranav Dorbala, Victoria Lamberson, Brian L Claggett, Yue Ren, Morgan E Grams, Josef Coresh, Kunihiro Matsushita, Ryan T Demmer, Ruth F Dubin, Rajat Deo, Peter Ganz, Christie M Ballantyne, Ron C Hoogeveen, Bing Yu, Amil M Shah

Faculty, Staff and Student Publications

Background: Investigation of circulating plasma proteins may reveal insights into molecular pathways that contribute to the development of heart failure (HF) among people with chronic kidney disease.

Objectives: The authors aimed to identify circulating kidney function-related plasma proteins that are associated with the risk of incident HF.

Methods: The authors studied participants of the ongoing longitudinal ARIC (Atherosclerosis Risk In Communities) study. Relative plasma concentrations of 4,697 unique proteins were measured with the use of an aptamer assay (Somalogic). Each protein was tested for associations with estimated glomerular filtration rate (eGFR), log-transformed urine albumin-to-creatinine ratio (UACR), and incident HF by …

The Global Neurodegeneration Proteomics Consortium: Biomarker And Drug Target Discovery For Common Neurodegenerative Diseases And Aging, Farhad Imam, Rowan Saloner, Jacob W Vogel, Varsha Krish, Gamal Abdel-Azim, Muhammad Ali, Lijun An, Federica Anastasi, David Bennett, Alexa Pichet Binette, Adam L Boxer, Martin Bringmann, Jeffrey M Burns, Carlos Cruchaga, Jeff L Dage, Amelia Farinas, Luigi Ferrucci, Caitlin A Finney, Mark Frasier, Oskar Hansson, Timothy J Hohman, Erik C B Johnson, Mika Kivimaki, Roxanna Korologou-Linden, Agustin Ruiz Laza, Allan I Levey, Inga Liepelt-Scarfone, Lina Lu, Niklas Mattsson-Carlgren, Lefkos T Middleton, Kwangsik Nho, Hamilton Se-Hwee Oh, Ronald C Petersen, Eric M Reiman, Oliver Robinson, Jeffrey D Rothstein, Andrew J Saykin, Artur Shvetcov, Chad Slawson, Bart Smets, Marc Suárez-Calvet, Betty M Tijms, Maarten Timmers, Fernando Vieira, Natalia Vilor-Tejedor, Pieter Jelle Visser, Keenan A Walker, Laura M Winchester, Tony Wyss-Coray, Chengran Yang, Niranjan Bose, Simon Lovestone, The Global Neurodegeneration Proteomics Consortium (Gnpc)

Faculty, Staff and Student Publications

More than 57 million people globally suffer from neurodegenerative diseases, a figure expected to double every 20 years. Despite this growing burden, there are currently no cures, and treatment options remain limited due to disease heterogeneity, prolonged preclinical and prodromal phases, poor understanding of disease mechanisms, and diagnostic challenges. Identifying novel biomarkers is crucial for improving early detection, prognosis, staging and subtyping of these conditions. High-dimensional molecular studies in biofluids ('omics') offer promise for scalable biomarker discovery, but challenges in assembling large, diverse datasets hinder progress. To address this, the Global Neurodegeneration Proteomics Consortium (GNPC)-a public-private partnership-established one of the …

A Large-Scale Genome-Wide Study Of Gene-Sleep Duration Interactions For Blood Pressure In 811,405 Individuals From Diverse Populations, Pavithra Nagarajan, Thomas W Winkler, Amy R Bentley, Clint L Miller, Aldi T Kraja, Karen Schwander, Songmi Lee, Wenyi Wang, Michael R Brown, John L Morrison, Ayush Giri, Jeffrey R O'Connell, Traci M Bartz, Lisa De Las Fuentes, Valborg Gudmundsdottir, Xiuqing Guo, Sarah E Harris, Zhijie Huang, Mart Kals, Minjung Kho, Christophe Lefevre, Jian'an Luan, Leo-Pekka Lyytikäinen, Massimo Mangino, Yuri Milaneschi, Nicholette D Palmer, Varun Rao, Rainer Rauramaa, Botong Shen, Stefan Stadler, Quan Sun, Jingxian Tang, Sébastien Thériault, Adriaan Van Der Graaf, Peter J Van Der Most, Yujie Wang, Stefan Weiss, Kenneth E Westerman, Qian Yang, Tabara Yasuharu, Wei Zhao, Wanying Zhu, Drew Altschul, Md Abu Yusuf Ansari, Pramod Anugu, Anna D Argoty-Pantoja, Michael Arzt, Hugues Aschard, John R Attia, Lydia Bazzanno, Max A Breyer, Jennifer A Brody, Brian E Cade, Hung-Hsin Chen, Yii-Der Ida Chen, Zekai Chen, Paul S De Vries, Latchezar M Dimitrov, Anh Do, Jiawen Du, Charles T Dupont, Todd L Edwards, Michele K Evans, Tariq Faquih, Stephan B Felix, Susan P Fisher-Hoch, James S Floyd, Mariaelisa Graff, Charles Gu, Dongfeng Gu, Kristen G Hairston, Anthony J Hanley, Iris M Heid, Sami Heikkinen, Heather M Highland, Michelle M Hood, Mika Kähönen, Carrie A Karvonen-Gutierrez, Takahisa Kawaguchi, Setoh Kazuya, Tanika N Kelly, Pirjo Komulainen, Daniel Levy, Henry J Lin, Peter Y Liu, Pedro Marques-Vidal, Joseph B Mccormick, Hao Mei, James B Meigs, Cristina Menni, Kisung Nam, Ilja M Nolte, Natasha L Pacheco, Lauren E Petty, Hannah G Polikowsky, Michael A Province, Bruce M Psaty, Laura M Raffield, Olli T Raitakari, Stephen S Rich, Renata L Riha, Lorenz Risch, Martin Risch, Edward A Ruiz-Narvaez, Rodney J Scott, Colleen M Sitlani, Jennifer A Smith, Tamar Sofer, Maris Teder-Laving, Uwe Völker, Peter Vollenweider, Guanchao Wang, Ko Willems Van Dijk, Otis D Wilson, Rui Xia, Jie Yao, Kristin L Young, Ruiyuan Zhang, Xiaofeng Zhu, Jennifer E Below, Carsten A Böger, David Conen, Simon R Cox, Marcus Dörr, Mary F Feitosa, Ervin R Fox, Nora Franceschini, Sina A Gharib, Vilmundur Gudnason, Sioban D Harlow, Jiang He, Elizabeth G Holliday, Zoltan Kutalik, Timo A Lakka, Deborah A Lawlor, Seunggeun Lee, Terho Lehtimäki, Changwei Li, Ching-Ti Liu, Reedik Mägi, Fumihiko Matsuda, Alanna C Morrison, Brenda Wjh Penninx, Patricia A Peyser, Jerome I Rotter, Harold Snieder, Tim D Spector, Lynne E Wagenknecht, Nicholas J Wareham, Alan B Zonderman, Kari E North, Myriam Fornage, Million Veteran Program, Adriana M Hung, Alisa K Manning, James Gauderman, Han Chen, Patricia B Munroe, Dabeeru C Rao, Diana Van Heemst, Susan Redline, Raymond Noordam, Heming Wang

Faculty, Staff and Student Publications

Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discovered 22 novel gene-sleep duration interaction loci for blood pressure, mapped to 23 genes. Investigating these genes' functional implications shed light on neurological, thyroidal, bone metabolism, and hematopoietic pathways that necessitate future investigation for blood pressure management that caters to sleep health …

Chance Or Strategy? Assessing The Unanticipated Policy Window For Active Transportation During The Covid-19 Pandemic: A Systematic Review, Katja Siefken, Michael Pratt, Juliana Mejía-Grueso, Adrian Bauman, Deborah Salvo, Catherine B Woods, Wanda Wendel-Vos, Justin Richards, J Jaime Miranda, Pedro C Hallal, Andrea Ramírez Varela

Faculty, Staff and Student Publications

Physical activity (PA) policy is essential for promoting population-level PA by coordinating efforts across various sectors. Global crises like the COVID-19 pandemic can open policy windows, enabling rapid implementation of innovative policies. This study examined how policy windows shaped active transportation (AT) policies during the pandemic, resulting in infrastructural changes.

Methods: A systematic review using PubMed, Scopus, ProQuest-Coronavirus Research Database, Web of Science, WHO COVID-19 Research Database, PsycInfo, and SPORTDiscus conducted to characterize AT policy during the pandemic (2020-2023). Descriptive analyses were conducted in Stata. PROSPERO registration number: CRD42025644930.

Results: The search retrieved 3879 articles; 1162 were duplicates, leaving 2716 …

Dp-Brem: Differentially-Private And Byzantine-Robust Federated Learning With Client Momentum, Xiaolan Gu, Ming Li, Li Xiong

Faculty, Staff and Student Publications

Federated Learning (FL) allows multiple participating clients to train machine learning models collaboratively while keeping their datasets local and only exchanging the gradient or model updates with a coordinating server. Existing FL protocols are vulnerable to attacks that aim to compromise data privacy and/or model robustness. Recently proposed defenses focused on ensuring either privacy or robustness, but not both. In this paper, we focus on simultaneously achieving differential privacy (DP) and Byzantine robustness for cross-silo FL, based on the idea of learning from history. The robustness is achieved via client momentum, which averages the updates of each client over time, …

Addressing Challenges In Developing Treatments For Inherited Retinal Diseases: Recommendations From The Third Monaciano Symposium, Debra A Thompson, K Thiran Jayasundera, Oleg Alekseev, Robin R Ali, Alessia Amato, Vadim Y Arshavsky, Isabelle S Audo, Alberto Auricchio, James W B Bainbridge, Eyal Banin, Cagri G Besirli, David G Birch, Kari E Branham, Artur V Cideciyan, Stephen P Daiger, Jacque L Duncan, Abigail T Fahim, John G Flannery, Roberto Gattegna, John R Heckenlively, Elise Héon, Alessandro Iannaccone, Naheed W Khan, Samer Khateb, Henry J Klassen, Bart P Leroy, Dario Marangoni, Michel Michaelides, David C Musch, Mark E Pennesi, Simon M Petersen-Jones, Eric A Pierce, Rajesh C Rao, José-Alain Sahel, Paul A Sieving, Enrica Strettoi, Cameron R Strong, Thomas J Wubben, Paul Yang, David N Zacks

Faculty, Staff and Student Publications

Over the past decade, efforts focused on developing genetic therapies for inherited retinal diseases have advanced steadily to clinical trials and the development of a treatment, fueling optimism for the potential of precision medicines to provide safe and effective therapies for these rare conditions. Although several ongoing programs remain poised for success, numerous challenges have negatively impacted the ability to obtain regulatory approvals. The present position paper briefly summarizes recent advances and challenges in developing therapeutics for inherited retinal diseases, and presents a set of recommendations for moving the field forward. The priorities identified are discussed in terms of progress …

Development Of A Multi-Institutional Dataset To Validate A Novel Inflammatory Breast Cancer Diagnostic Score, Filipa Lynce, Samuel M Niman, Megumi Kai, Sean Ryan, Elizabeth Troll, Li Li, Kathy D Miller, Reshma Jagsi, Ginny Mason, Beth A Overmoyer, H T Carisa Le-Petross, Faina Nakhlis, Savitri Krishnamurthy, Beth T Harrison, Susie X Sun, Eren D Yeh, Jennifer R Bellon, Laura E Warren, Michael C Stauder, Meredith M Regan, Wendy A Woodward

Faculty, Staff and Student Publications

Background: Susan G. Komen, the Inflammatory Breast Cancer (IBC) Research Foundation, and the Milburn Foundation convened patient advocates, clinicians, and researchers to propose novel quantitative scoring rubrics for IBC diagnosis. In this study, we developed a multi-institutional clinical dataset to test and validate the proposed scoring system.

Methods: IBC (N = 988) and non-IBC (N = 332) cases were identified at 2 institutions with dedicated multidisciplinary IBC programs. The non-IBC cohort included consecutive cT4b and cT4c patients. Standard operating procedures (SOPs) were developed for all ambiguous findings and languages. Three different methods were used for the imputation of missing data, …

White Matter Abnormalities And Cognition In Aging And Alzheimer Disease, Christopher Peter, Aditi Sathe, Niranjana Shashikumar, Kimberly R Pechman, Abigail W Workmeister, T Bryan Jackson, Yuankai Huo, Shubhabrata Mukherjee, Jesse Mez, Logan C Dumitrescu, Katherine A Gifford, Corey J Bolton, Leslie S Gaynor, Shannon L Risacher, Lori L Beason-Held, Yang An, Konstantinos Arfanakis, Guray Erus, Christos Davatzikos, Duygu Tosun-Turgut, Mohamad Habes, Di Wang, Arthur W Toga, Paul M Thompson, Panpan Zhang, Kurt G Schilling, Marilyn Albert, Walter Kukull, Sarah A Biber, Bennett A Landman, Barbara B Bendlin, Sterling C Johnson, Julie Schneider, Lisa L Barnes, David A Bennett, Angela L Jefferson, Susan M Resnick, Andrew J Saykin, Paul K Crane, Michael L Cuccaro, Timothy J Hohman, Derek B Archer, Dimitrios Zaras, Yisu Yang, Alaina Durant, Praitayini Kanakaraj, Michael E Kim, Chenyu Gao, Nancy R Newlin, Karthik Ramadass, Nazirah Mohd Khairi, Zhiyuan Li, Tianyuan Yao, Seo-Eun Choi, Brandon Klinedinst, Michael L Lee, Phoebe Scollard, Emily H Trittschuh, Elizabeth A Sanders

Faculty, Staff and Student Publications

Importance: There has yet to be a large-scale study quantifying the association between white matter microstructure and cognitive performance and decline in aging and Alzheimer disease (AD).

Objective: To investigate the associations between tract-specific white matter microstructure and cognitive performance and decline in aging and AD-related cognitive impairment.

Design setting and participants: This prognostic study of aging and AD, a secondary data analysis of multisite cohort studies, acquired data from 9 cohorts between September 2002 and November 2022. Participants were eligible if they had diffusion-weighted magnetic resonance imaging (dMRI) data, domain-specific cognitive composite z scores, demographic and clinical data, were …

Bard: A Seamless Two-Stage Dose Optimization Design Integrating Backfill And Adaptive Randomization, Yixuan Zhao, Rachael Liu, Jianchang Lin, Ying Yuan

Faculty, Staff and Student Publications

One common approach for dose optimization is a two-stage design, which initially conducts dose escalation to identify the maximum tolerated dose, followed by a randomization stage where patients are assigned to two or more doses to further assess and compare their risk-benefit profiles to identify the optimal dose. A limitation of this approach is its requirement for a relatively large sample size. To address this challenge, we propose a seamless two-stage design, BARD (Backfill and Adaptive Randomization for Dose Optimization), which incorporates two key features to reduce sample size and shorten trial duration. The first feature is the integration of …

Ppp2r1a Mutations Portend Improved Survival After Cancer Immunotherapy, Yibo Dai, Anne Knisely, Mitsutake Yano, Minghao Dang, Emily M Hinchcliff, Sanghoon Lee, Annalyn Welp, Manoj Chelvanambi, Matthew Lastrapes, Heng Liu, Zhe Yuan, Chen Wang, Hao Nie, Stephanie Jean, Luis J Montaner, Jiakai Hou, Ami Patel, Shrina Patel, Bryan Fellman, Ying Yuan, Baohua Sun, Renganayaki Krishna Pandurengan, Edwin Roger Parra Cuentas, Joseph Celestino, Yan Liu, Jinsong Liu, R Tyler Hillman, Shannon N Westin, Anil K Sood, Pamela T Soliman, Aaron Shafer, Larissa A Meyer, David M Gershenson, David Vining, Dhakshinamoorthy Ganeshan, Karen Lu, Jennifer A Wargo, Weiyi Peng, Rugang Zhang, Linghua Wang, Amir A Jazaeri

Faculty, Staff and Student Publications

Immune checkpoint blockade (ICB) therapy is effective against many cancers, although resistance remains a major issue and new strategies are needed to improve clinical outcomes1-5. Here we studied ICB response in a cohort of patients with ovarian clear cell carcinoma-a cancer type that poses considerable clinical challenges and lacks effective therapies6-8. We observed significantly prolonged overall survival and progression-free survival in patients with tumours with PPP2R1A mutations. Importantly, our findings were validated in additional ICB-treated patient cohorts across multiple cancer types. Translational analyses from tumour biopsies demonstrated enhanced IFNγ signalling, and the presence of tertiary lymphoid structures at the baseline, …

Film Measurements Of Kilovoltage X-Ray Percentage Depth Doses For Different Energies And Field Sizes, Tze Yee Lim, Dershan Luo, Jamshid Moradi-Kurdestany, Xin Wang, Ramesh Tailor

Faculty, Staff and Student Publications

Objectives: Kilovoltage x-ray therapy, which includes superficial x-rays and orthovoltage x-rays, is particularly suited for treatments near the skin surface. Radiation dose deposition at depth is typically characterized by percentage depth dose (PDD) curves. However, PDD data are difficult to obtain in kilovoltage x-ray therapy, hence clinics often rely on British Journal of Radiology Supplement 25 (BJR-25) archival data. This study measured PDD for different energies and field sizes on the Xstrahl 300 kilovoltage x-ray therapy unit for comparison with BJR-25 data.

Methods: We irradiated EBT3 film in water using different energy and field size combinations, then, compared the acquired …

Large-Scale Genome-Wide Analyses Of Stuttering, Hannah G Polikowsky, Alyssa C Scartozzi, Douglas M Shaw, Dillon G Pruett, Hung-Hsin Chen, Lauren E Petty, Alexander S Petty, Emily J Lowther, Shu-Hsien Cho, Yao Yu, Sahar Mozaffari, Christy L Avery, Kathleen Mullan Harris, Reyna L Gordon, Janet M Beilby, Kathryn Z Viljoen, Robin M Jones, Chad D Huff, Heather M Highland, Shelly Jo Kraft, Jennifer E Below

Faculty, Staff and Student Publications

Developmental stuttering is a highly heritable, common speech condition characterized by prolongations, blocks and repetitions of speech. Although stuttering is highly heritable and enriched within families, the genetic architecture is largely understudied. We reasoned that there are both shared and distinct genetic variants impacting stuttering risk within sex and ancestry groups. To test this idea, we performed eight primary genome-wide association analyses of self-reported stuttering that were stratified by sex and ancestry, as well as secondary meta-analyses of more than one million individuals (99,776 cases and 1,023,243 controls), identifying 57 unique loci. We validated the genetic risk of self-reported stuttering …

Does Midbrain Atrophy Distinguish Progressive Supranuclear Palsy From Frontotemporal Dementia?, Mauro César Quintão E Silva Cunningham, Sarah Teixeira Camargos, Vinícius Ribeiro Jeunon, Natalia Pessoa Rocha, Antônio Lúcio Teixeira, Thiago De Oliveira Maciel, Elisa De Paula França Resende, Francisco Eduardo Costa Cardoso, Paulo Caramelli, Leonardo Cruz De Souza

Faculty, Staff and Student Publications

Background: The diagnostic value of midbrain atrophy for distinguishing behavioral variant frontotemporal dementia (bvFTD) from progressive supranuclear palsy (PSP) is unclear.

Objective: To investigate whether measures of midbrain atrophy differentiate PSP from bvFTD.

Methods: We included four groups: healthy controls (n = 19), PSP-Richardson syndrome (n = 20), bvFTD (n = 19) and Parkinson's disease (PD; n = 12). The following quantitative and qualitative measures were calculated: Hummingbird sign rating scale [HBS-RS], global midbrain atrophy [GMA], midbrain area, midbrain/pons ratio, the Magnetic Resonance Parkinsonism Index (MRPI), the MRPI 2.0 and brainstem volume.

Results: Compared to controls, PSP and bvFTD had …

A Systematic Clinical Framework For Postimplantation Monitoring In Thalamic Neuromodulation: Insights From Twiddler's Syndrome, Shalin Shah, Ganne Chaitanya, Jeston Chin, Nicholas Delcimmuto, Jay R Gavvala

Faculty, Staff and Student Publications

This case described a 25-year-old pregnant woman with refractory multifocal epilepsy, diagnosed in 2020 and treated with bilateral thalamic deep brain stimulation (DBS) targeting the centromedian and pulvinar nuclei. Prior to DBS, she experienced daily focal seizures, often progressing to generalized tonic-clonic seizures despite optimal medication. Presurgical evaluations revealed multifocal epilepsy with right hemispheric involvement and diffuse band heterotopia. Given the extensive neurophysiological and radiographic findings, DBS was chosen over resective surgery. Following implantation in December 2023, initial stimulation settings resulted in some seizure control but also development of new symptoms, including shock-like sensations down her neck. After 43 seizure-free …

Computed Tomography Radiomics-Based Cross-Sectional Detection Of Mandibular Osteoradionecrosis In Head And Neck Cancer Survivors, Serageldin Kamel, Laia Humbert-Vidan, Zaphanlene Kaffey, Sarah Mirbahaeddin, Abdulrahman Abusaif, David T A Fuentes, Kareem Wahid, Cem Dede, Mohamed A Naser, Renjie He, Ahmed W Moawad, Khaled M Elsayes, Melissa M Chen, Adegbenga O Otun, Jillian Rigert, Mark S Chambers, Andrew Hope, Erin Watson, Kristy K Brock, Katherine Hutcheson, Lisanne Van Dijk, Amy C Moreno, Stephen Y Lai, Clifton D Fuller, Abdallah S R Mohamed, Md Anderson Head And Neck Cancer Symptom Working Group

Faculty, Staff and Student Publications

Purpose: This study aims to identify radiomic features from contrast-enhanced CT (CECT) scans that differentiate osteoradionecrosis (ORN) from normal mandibular bone in head and neck cancer (HNC) patients treated with radiotherapy (RT).

Materials and methods: CECT images from 150 patients with confirmed ORN diagnosis (2008-2018) at MD Anderson Cancer Center (MDACC) were analyzed (80 % train, 20 % test). Radiomic features were extracted using PyRadiomics from manually segmented ORN regions and automated contralateral healthy mandible regions. Correlation analysis (r > 0.95) reduced features for model training. A random Forest (RF) classifier with Recursive Feature Elimination identified discriminative features. Explainability was assessed …

Associative Coding Of Conditioned Fear In The Thalamic Nucleus Reuniens In Rodents And Humans, Tuğçe Tuna, Michael S Totty, Muhammad Badarnee, Flávio Afonso Gonçalves Mourão, Shaun Peters, Mohammad R Milad, Stephen Maren

Faculty, Staff and Student Publications

The nucleus reuniens (RE) is a midline thalamic structure interconnecting the medial prefrontal cortex (mPFC) and the hippocampus (HPC). Recent work in both rodents and humans implicates the RE in the adaptive regulation of emotional memories, including the suppression of learned fear. However, the neural correlates of aversive learning in the RE of rodents and humans remain unclear. To address this, we recorded RE activity in humans (BOLD fMRI) and rats (fiber photometry) during Pavlovian fear conditioning and extinction. In both rats and humans, we found that conditioned stimulus (CS)-evoked activity in RE reflects the associative value of the CS. …

Author Correction: The Long-Term Effects Of Chemotherapy On Normal Blood Cells, Emily Mitchell, My H Pham, Anna Clay, Rashesh Sanghvi, Nicholas Williams, Sandra Pietsch, Joanne I Hsu, Nina Friesgaard Øbro, Hyunchul Jung, Aditi Vedi, Sarah Moody, Jingwei Wang, Daniel Leonganmornlert, Michael Spencer Chapman, Ellie Dunstone, Anna Santarsieri, Alex Cagan, Heather E Machado, E Joanna Baxter, George Follows, Daniel J Hodson, Ultan Mcdermott, Gary J Doherty, Inigo Martincorena, Laura Humphreys, Krishnaa Mahbubani, Kourosh Saeb Parsy, Koichi Takahashi, Margaret A Goodell, David Kent, Elisa Laurenti, Peter J Campbell, Raheleh Rahbari, Jyoti Nangalia, Michael R Stratton

Faculty, Staff and Student Publications

No abstract provided.

Domains Of Housing Instability And Intimate Partner Violence Risk Among U.S. Tenants, Anairany Zapata, Leila G Wood, Annalynn M Galvin, Wenyaw Chan, Timothy A Thomas, Jack Tsai, Heather K Way, Elizabeth J Mueller, Daphne C Hernandez

Faculty, Staff and Student Publications

While IPV is often studied as a predictor of housing insecurity, few U.S. studies explore how different forms of housing instability may contribute to intimate partner violence (IPV) risk. Using a mixed-methods approach and a cross-sectional design, this study examined the association between four housing instability domains and IPV among a sample of tenants that had either experienced eviction or were at high risk for eviction. Tenants in Harris and Travis counties (Texas, USA) completed an online survey (n = 1085; March–July 2024). Housing instability was assessed across four domains: homelessness, lease violations, utility hardship, and poor housing quality. …

Resting Quantitative Myocardial Perfusion-Essential Clinical Coronary Pathophysiology For Preventing Non-Beneficial Revascularization In Cardiomyopathy, K Lance Gould, Nils P Johnson

Faculty, Staff and Student Publications

No abstract provided.

A Phase I Trial Of Evorpacept, Lenalidomide And Rituximab For Patients With B-Cell Non-Hodgkin Lymphoma, Paolo Strati, Lei Feng, Andrey Tyshevich, Darya Shavronskaya, Julia Alesse, Noel English, Elizabeth Sheehan, Nikita Syzrantsev, Alexander Nesmelov, Tony Z Zhuang, Dai Chihara, Jason R Westin, Sairah Ahmed, Luis E Fayad, Jared Henderson, Kylie Dent, Elizabeth Mcchesney, Sattva S Neelapu, Christopher R Flowers

Faculty, Staff and Student Publications

Introduction: SIRPα+ macrophages can mediate resistance to lenalidomide and rituximab (R2) in patients with B-cell non-Hodgkin lymphoma (B-NHL). Evorpacept (ALX148) is a novel CD47 blocker that abrogates interactions between lymphoma cells and SIRPα+ macrophages.

Methods: Adult patients with B-NHL who had received at least 2 prior lines of systemic therapy were included in this single arm phase I study (NCT05025800). Evorpacept was administered intravenously (IV), in a 28-day cycle, until progression, at two dose levels (DL): 30 mg/Kg on day (D) 1 and D15 (DL1), or 60 mg/Kg on day 1 (DL2); rituximab 375 mg/m2 IV was given …

A Novel Microdosimetry-Based Formalism For Cell Survival Modelling Applicable To Hypofractionated Radiotherapy, Oleg N Vassiliev, Radhe Mohan

Faculty, Staff and Student Publications

Objectives

Hypofractionated radiotherapy requires reliable cell survival models for doses much higher than the standard 2 Gy, for which the linear-quadratic (LQ) model is not applicable. We developed an alternative approach applicable to both low doses and high doses used in hypofractionated treatments and radiobiological experiments.

Approach.

We combined a standard microdosimetric technique with a recently introduced non-LQ cell survival model. Our formulation accounts for cell damage by multi-track events involving any number of particles. This is necessary for modelling cell survival at therapeutic doses. We characterise each cell type by the size �� of the sensitive volume (SV) and …

Human Ipsc-Based Breast Cancer Model Identifies S100p-Dependent Cancer Stemness Induced By Brca1 Mutation, Jingxin Liu, Cai Zhao, Jiahao Chen, Pengguihang Zeng, Qingjian Li, Ranran Dai, Xingqiang Lai, Wenqian Song, Jianing Chen, Xixi Zhu, Xinyi Liu, Jun Sun, Jia Wang, Peihang Fang, Tengfei Wang, Wenjie Chen, Diana Guallar, Nan Cao, Jianli Zhao, Shicheng Su, Andy Peng Xiang, Yi Arial Zeng, Jie Li, Junchao Cai, Dung-Fang Lee, Jinxin Bei, Yongliang Huo, Hai Hu, Shengbao Suo, Dong-Feng Huang, Jin Bai, Junjun Ding

Faculty, Staff and Student Publications

Breast cancer is the most common malignancy in females and remains the leading cause of cancer-related deaths for women worldwide. The cellular and molecular basis of breast tumorigenesis is not completely understood partly due to the lack of human research models which simulate the development of breast cancer. Here, we developed a method for generating functional mammary-like cells (MCs) from human-induced pluripotent stem cells (iPSCs). The iPSC-MCs closely resemble human primary MCs at cellular, transcriptional, and functional levels. Using this method, a breast cancer model was generated using patient-derived iPSCs harboring germline