Biomedical Informatics Commons^™

Proteomic Perspectives On Kras-Driven Cancers And Emerging Therapeutic Approaches, Ramesh Karki, Ru Chen, Sheng Pan

Faculty, Staff and Student Publications

KRAS mutations are implicated in approximately 23% of all human malignancies, with particularly high prevalence in pancreatic ductal adenocarcinoma (PDAC) (~92%), colorectal cancer (CRC) (~49%), and non-small cell lung cancer (NSCLC) (~35%). The recent approval of the KRASG12C-specific inhibitors for NSCLC represents a pivotal advancement in KRAS-targeted therapy. Nevertheless, the emergence of intrinsic and acquired resistance to KRAS-targeted therapies poses a significant clinical obstacle to targeting KRAS, which necessitates a deeper understanding of the resistance mechanisms. Recent progress in proteomic studies has enabled comprehensive profiling of the proteomic alterations driven by KRAS mutations, offering valuable insights into the disrupted KRAS …

Hand Swelling And Other Non-Raynaud Phenomenon Symptoms As The Initial Presentation Of Systemic Sclerosis: Prevalence And Clinical Associations In Two Us Cohorts, Iqtidar Hanif, Shervin Assassi, Maureen D Mayes, Zsuzsanna H Mcmahan, Meng Zhang, Julio Charles, John M Vanburen, Jessica S Alvey, Kimia Ghaffari, Elana J Bernstein, Flavia V Castelino, Lorinda Chung, Luke Evnin, Tracy M Frech, Jessica K Gordon, Faye N Hant, Laura K Hummers, Dinesh Khanna, Kimberly S Lakin, Dorota Lebiedz-Odrobina, Yiming Luo, Ashima Makol, Jerry A Molitor, Duncan F Moore, Carrie Richardson, Nora Sandorfi, Ami A Shah, Ankoor Shah, Victoria K Shanmugam, Virginia D Steen, Elizabeth R Volkmann, Carleigh Zahn, Brian Skaug

Faculty, Staff and Student Publications

Objective: Raynaud phenomenon (RP) is often the initial clinical manifestation of systemic sclerosis (SSc), but some patients develop other manifestations first. To help elucidate the diversity of SSc presentation in its early stages, we describe the initial clinical manifestations and antinuclear antibody (ANA) profiles of patients in two early SSc cohorts.

Methods: All patient data in the Genetics vs Environment in Scleroderma Outcomes Study (GENISOS) and Collaborative National Quality and Efficacy Registry (CONQUER) cohorts were reviewed. Both studies enrolled patients within five years of the first non-RP symptom.

Results: In GENISOS and CONQUER, respectively, 194 (44.2%) of 439 and 292 …

Perceived Prejudice Or Discrimination In Medical Care Among Us Adults, Inimfon Jackson, Robert Yu, Joël Fokom Domgue, Sanjay Shete

Faculty, Staff and Student Publications

No abstract provided.

Deciphering Rna Modification And Post-Transcriptional Regulation With Netrnapan, Haodong Xu, Wankun Deng, Ruifeng Hu, Binfeng Liu, Wenchao Zhang, Lujuan Wang, Lin Qi, Xiaolei Ren, Chao Tu, Zhihong Li, Zhongming Zhao

Faculty, Staff and Student Publications

RNA modification, which is evolutionarily conserved, is crucial for modulating various biological functions and disease pathogenesis. High resolution transcriptome-wide mapping of RNA modifications has facilitated both data resources and computational prediction of RNA modification. While these prediction algorithms are promising, they are limited in interpretability or generalizability, or the capacity for discovering novel post-transcriptional regulations. Here, we present NetRNApan, a deep learning framework for RNA modification site prediction, motif discovery and trans-regulatory factor identification. Using m5U profiles generated by FICC-seq and miCLIP-seq technologies and single-base resolution m6A sites from multiple experiments as cases, we demonstrated the accuracy of NetRNApan with …

Microbial Signals In Primary And Metastatic Brain Tumors, Golnaz Morad, Ashish V Damania, Brenda Melendez, Bharat B Singh, Fabiana J Veguilla, Rebecca A Soto, Yasmine M Hoballah, Pranoti V Sahasrabhojane, Matthew C Wong, Mona M Ahmed, Rene N Rico, Kaitlyn N Lewis, Khalida Wani, Diana D Shamsutdinova, Rossana N Lazcano Segura, Davis R Ingram, Eric A Goethe, Abderrahman Day, Ivonne I Flores, Lauren K Mcdaniel, Manoj Chelvanambi, Sarah B Johnson, Florentia Dimitriou, Pravesh Gupta, Shivangi Oberai, M Anna Zal, Phoebe Doss, Mohamed A Jamal, Eiko Hayase, Chetna Wathoo, Lisa M Norberg, Stephanie L Jenkins, Sara Nass, Joy Gumin, Lihong Long, Jing Yang, Gina R Bradley, Mahesh Prasad Bekal, Antonio G Dono, Pavel S Pichardo-Rojas, Samuel W Andrewes, Leomar Y Ballester, Jillian S Losh, Jiyong Liang, Longfei Huo, Douglas C Nielsen, Brittany C Parker Kerrigan, Priscilla K Brastianos, Natalie Wall Fowlkes, Chia-Chi Chang, Robert R Jenq, Candelaria Gomez-Manzano, Jason T Huse, Michael A Davies, Alexander J Lazar, Krishna P Bhat, Nitin Tandon, Yoshua Esquenazi, Christine B Peterson, Vinay K Puduvalli, Frederick F Lang, Christopher D Johnston, Susan Bullman, Nadim J Ajami, Sherise D Ferguson, Jennifer A Wargo

Faculty, Staff and Student Publications

Gliomas and brain metastases are associated with poor prognosis, necessitating a deeper understanding of brain tumor biology and the development of effective therapeutic strategies. Although our group and others have demonstrated microbial presence in various tumors, recent controversies regarding cancer-type-specific intratumoral microbiota emphasize the importance of rigorous, orthogonal validation. This prospective, multi-institutional study included a total of 243 samples from 221 patients, comprising 168 glioma and brain metastases samples and 75 non-cancerous or tumor-adjacent tissues. Using stringent fluorescence in situ hybridization, immunohistochemistry and high-resolution spatial imaging, we detected intracellular bacterial 16S rRNA and lipopolysaccharides in both glioma and brain metastases …

Exploring Multimodal Large Language Models On Transthoracic Echocardiogram (Tte) Tasks For Cardiovascular Decision Support, Jianfu Li, Yiming Li, Zenan Sun, Evan Yu, Ahmed M Abdelhameed, Weiguo Cao, Haifang Li, Jianping He, Pengze Li, Jingna Feng, Yue Yu, Xinyue Hu, Manqi Li, Rakesh Kumar, Yifang Dang, Fang Li, Shahyar M Gharacholou, Cui Tao

Faculty, Staff and Student Publications

Objective: Multimodal large language models (LLMs) offer new potential for enhancing cardiovascular decision support, particularly in interpreting echocardiographic data. This study systematically evaluates and benchmarks foundation models from diverse domains on echocardiogram-based tasks to assess their effectiveness, limitations and potential in clinical cardiovascular applications.

Methods: We curated three cardiovascular imaging datasets-EchoNet-Dynamic, TMED2, and an expert-annotated echocardiogram (TTE) dataset-to evaluate performance on four critical tasks: (1) cardiac function evaluation through ejection fraction (EF) prediction, (2) cardiac view classification, (3) aortic stenosis (AS) severity assessment, and (4) cardiovascular disease classification. We evaluated six multimodal LLMs: EchoClip (cardiovascular-specific), BiomedGPT and LLaVA-Med (medical-domain), and …

Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, And Multi-Modal Learning, Cheng Peng, Kai Zhang, Mengxian Lyu, Hongfang Liu, Lichao Sun, Yonghui Wu

Faculty, Staff and Student Publications

Objective: To advance biomedical vision language model capabilities through scaling up, fine-tuning, and instruction tuning, develop vision-language models with improved performance in handling long text, explore strategies to efficiently adopt vision language models for diverse multi-modal biomedical tasks, and examine the zero-shot learning performance.

Methods: We developed two biomedical vision language models, BiomedGPT-Large and BiomedGPT-XLarge, based on an encoder-decoder-based transformer architecture. We fine-tuned the two models on 23 benchmark datasets from 6 multi-modal biomedical tasks, including one image-only task (image classification), three language-only tasks (text understanding, text summarization, and question answering), and two vision-language tasks (visual question answering and image …

Colorectal-Specific Radiation Dose And Chemotherapy Risk For Subsequent Colorectal Malignancies In Childhood Cancer Survivors: A Childhood Cancer Survivor Study (Ccss) Report, Constance A Owens, Ethan B Ludmir, Qi Liu, Weiyu Qiu, Aashish C Gupta, Susan A Smith, Bastien Rigaud, Kristy K Brock, James E Bates, Taylor G Meyers, Arnold C Paulino, Christine B Peterson, Stephen F Kry, Jop C Teepen, Cécile M Ronckers, Joseph P Neglia, Wendy M Leisenring, Kevin C Oeffinger, Paul C Nathan, Lucie M Turcotte, David C Hodgson, Melissa M Hudson, Leslie L Robison, Chaya S Moskowitz, Gregory T Armstrong, Tara O Henderson, Yutaka Yasui, Rebecca M Howell

Faculty, Staff and Student Publications

Purpose: Among childhood cancer survivors, we evaluated not previously explored relationships between colorectal subsequent malignant neoplasm (SMN) incidence and colorectum-specific radiation dose metrics currently used in radiation therapy (RT) planning and expanded upon previously reported chemotherapy associations.

Methods: The Childhood Cancer Survivor Study (CCSS) includes 5-year survivors of childhood cancer diagnosed between 1970 and 1999. RT was assessed as mean colorectal dose (MCD) and the percent volume (VX Gy) receiving ≥5, 10, 20, 30, and 40 Gy. Chemotherapy was assessed as cumulative doses for procarbazine and platinum agents, cyclophosphamide-equivalent doses for alkylating agents, and doxorubicin-equivalent doses for anthracyclines. Piecewise-exponential models …

Intentional Creation Of Suboptimal, Realistic Dose Distributions, Skylar S Gay, Mary P Gronberg, Raymond Mumme, Beth M Beadle, Anuja Jhingran, Tze Yee Lim, Zhiqian H Yu, Christine Chung, Meena Khan, Chelsea Pinnix, Sanjay Shete, Brent Parker, Tucker J Netherton, Carlos E Cardenas, Laurence E Court

Faculty, Staff and Student Publications

Background: Radiation oncology residents report a lack of understanding and confidence in assessing radiotherapy plan quality. A contributing factor is the environment in which plan review is taught during residency, that is, routine clinical practice, which does not provide ample time for self-guided practice in a low-stakes setting. Expertise in plan review requires diverse case presentation and many examples, which are often not achievable in smaller programs and for less common cancer types. As plan quality affects patient outcomes, it is important to address these pitfalls in the education of residents on plan review.

Purpose: To address the identified pitfalls …

Acute And Chronic Nasal Inflammation Induces Lymphangiogenesis In The Olfactory Mucosa In Mice, Suzuho Komaki, Ryuichi Imai, Yuzuki Sugimoto, Rei Settsu, Aki Obara, Atsuyoshi Shimada, Robert Dantzer, Geoffroy Laumet, Fumiaki Imamura, Sanae Hasegawa-Ishii

Faculty, Staff and Student Publications

Background: Lymphangiogenesis, the formation of new lymphatic vessels, is primarily driven by VEGF-C-mediated activation of VEGFR-3 and plays a critical role in immune regulation and tissue repair. Although lymphangiogenesis has been well documented in various inflamed tissues, its occurrence and spatiotemporal characteristics in the olfactory mucosa during nasal inflammation remain poorly understood. To address this, we investigated the localization and development of lymphatic vessels in a mouse model of both acute and chronic nasal inflammation.

Methods: Acute inflammation was induced by intranasal administration of lipopolysaccharide (LPS; 10 μg per nostril) in 8-week-old male mice, with saline-treated mice as controls. Behavioral …

Outcomes And Patterns Of Relapse Of Npm1 Mutated Acute Myeloid Leukemia Treated With Venetoclax Based Therapies, Wei-Ying Jen, Sanam Loghavi, Alexandre Bazinet, Alex Bataller, Ian Bouligny, Naval G Daver, Ghayas C Issa, Naszrin Arani, Emmanuel Almanza Huante, Abhishek Maiti, Guillermo Montalban-Bravo, Gautam Borthakur, Nicholas J Short, Sherry Pierce, Elias Jabbour, Guillermo Garcia-Manero, Farhad Ravandi, Hagop M Kantarjian, Courtney D Dinardo, Tapan M Kadia

Faculty, Staff and Student Publications

No abstract provided.

A Tour Of Leukemia Progress In 2025, Viewed Through The Md Anderson Leukemia Research Lens, Hagop M Kantarjian, Gautam Borthakur, Naval Daver, Courtney Dinardo, Guillermo Garcia-Manero, Ghayas Issa, Elias Jabbour, Nitin Jain, Tapan Kadia, Sanam Loghavi, Farhad Ravandi, Guilin Tang, Mary Alma Welch, William Wierda

Faculty, Staff and Student Publications

Advances in the prognostication, monitoring, and treatment of both the acute and chronic leukemias have led to drastically improved outcomes over the past 2 decades. With the advent of targeted therapies, including antibodies such as blinatumomab and inotuzumab and small molecule inhibitors, such as the BCR::ABL1 tyrosine kinase inhibitors, Bruton tyrosine kinase inhibitors, and venetoclax, the treatment landscape of leukemia has drastically changed, improving survival outcomes while relying less on overall chemotherapy intensity in many leukemia types. This progress has allowed the categorization of more leukemia types as favorable (i.e., chronic lymphocytic leukemia, younger acute lymphoblastic leukemia [patients younger than …

Brain-Wide Patterns Of Crf Receptor 1 Expression In The Transgenic Crfr1-Cre-2a-Tdtom Rat, Douglas S Engelke, Lierni Ugartemendia, Jonathan Tao, Shivakumar Rajamanikam, Fabricio H Do Monte, Nicholas J Justice

Faculty, Staff and Student Publications

The ability to manipulate neurons that express corticotropin-releasing factor (CRF) or its receptors has led to many new discoveries about how CRF signaling modulates stress-related behaviors in mice. However, similar advances in rats have been limited by the lack of reporter lines targeting CRF receptors, restricting access to behavioral paradigms that are more suitable for, or specific to, rats. Here, we provide an extensive neuroanatomical characterization of a recently generated CRFR1-Cre rat. We show that Cre and tdTomato are expressed in a pattern that closely aligns with previously reported CRFR1 expression patterns, as determined by in situ hybridization in rats …

Probabilistic Template Matching For Detecting Resting-State Functional Mri Language Network In Brain Tumor Patients, Jian Ming Teo, Vinodh A Kumar, Alexander M Khalaf, Kyle R Noll, Sherise D Ferguson, Chibawanye I Ene, Sujit S Prabhu, Max Wintermark, Ho-Ling Liu

Faculty, Staff and Student Publications

Background: Intersubject variation among patients with brain tumors complicates the template matching process for detecting the resting-state (rs) functional MRI (fMRI) language network when using independent component analysis (ICA).

Purpose: This study aimed to develop methods that use a probabilistic language atlas to incorporate intersubject variation in brain tumor patients into the template matching process.

Methods: This retrospective study included 79 patients with brain tumors (average age, 50 ± 15 years) who underwent presurgical task-based (tb)-fMRI and rs-fMRI at clinical 3T scanners. At varying template generation thresholds (τ), binary and probabilistic templates were obtained from the language atlas. A binary …

Tagraxofusp, A Cd123-Targeted Therapy, For Chronic Myelomonocytic Leukemia: Final Results Of A Phase 1/2 Study, Mrinal M Patnaik, Haris Ali, Eunice S Wang, Abdulraheem Yacoub, James M Foran, Vikas Gupta, Gary J Schiller, Don Ambrose Stevens, Moshe Talpaz, Sarah Wall, Terra L Lasho, Abhishek A Mangaonkar, Talha Badar, Ross Lindsay, Antonio Galleu, Ira Gupta, Naveen Pemmaraju, Guillermo Garcia-Manero

Faculty, Staff and Student Publications

Chronic myelomonocytic leukemia (CMML) is an aggressive hematologic neoplasm characterized by an expansion of CD123+ monocytes and plasmacytoid dendritic cells (pDCs). pDC bone marrow clusters in CMML have been associated with higher rates of acute myeloid leukemia transformation. We evaluated tagraxofusp, a CD123-targeted therapy, in a phase 1/2 trial for patients with CMML. There were no dose-limiting toxicities. At the recommended phase 2 dose of 12 μg/kg per day, 37 patients were treated: 15 were treatment naïve; 22 had relapsed/refractory disease (median number of previous therapies, 1 [range, 1-7]). Common nonhematologic treatment-emergent adverse events (AEs) included fatigue (49%), hypoalbuminemia (46%), …

Meeting Report From The 2024 Symposium On Irak4 In Cancer: Highlights And Clinical Updates, Eric S Winer, Marina Konopleva, Han W Tun, Kian-Huat Lim, Bently Doonan, Klaus H Metzeler, Lakshmi Nayak, Andrés J M Ferreri, Christina Von Roemeling, Grzegorz S Nowakowski, Guillermo Garcia-Manero

Faculty, Staff and Student Publications

Interleukin-1 receptor-associated kinase 4 (IRAK4) is a serine/threonine kinase that mediates interleukin-1 and Toll-like receptor (TLR) signaling. IRAK4 drives the activation of nuclear factor kappa B (NF-κB), which promotes cell survival, inflammation, and proliferation. Aberrant activation of IRAK4 and TLR signaling has been implicated in multiple malignancies. At the 3rd Annual IRAK4 in Cancer Symposium, experts discussed the role of IRAK4 in cancer biology, the potential for synergism between IRAK4 inhibition and other treatments to overcome resistance, and how IRAK4 inhibition may improve clinical outcomes. Preclinical data were presented demonstrating the activity of IRAK4 inhibition alone or in combination with …

Sars-Cov-2 Mrna Vaccines Sensitize Tumours To Immune Checkpoint Blockade, Adam J Grippin, Christiano Marconi, Sage Copling, Nan Li, Chen Braun, Cole Woody, Elliana Young, Priti Gupta, Min Wang, Annette Wu, Seong Dong Jeong, Dhruvkumar Soni, Frances Weidert, Chao Xie, Eden Goldenberg, Andrew Kim, Chong Zhao, Anna Devries, Paul Castillo, Rishabh Lohray, Michael K Rooney, Benjamin R Schrank, Yifan Wang, Yifan Ma, Enoch Chang, Ramez Kouzy, Kyle Dyson, Jordan Jafarnia, Nina Nariman, Gregory Gladish, Jacob New, Ada Argueta, Diana Amaya, Nagheme Thomas, Andria Doty, Joe Chen, Nikhil Copling, Gabriel Alatrash, Julie Simon, Alicia Bea Davies, William Dennis, Richard Liang, Jeff Lewis, Xiong Wei, Waree Rinsurongkawong, Ara A Vaporciyan, Andrew Johns, D3code Team, Jack Lee, Ji-Hyun Lee, Ryan Sun, Padmanee Sharma, Hai Tran, Jianjun Zhang, Don L Gibbons, Jennifer Wargo, Betty Y S Kim, John V Heymach, Hector R Mendez-Gomez, Wen Jiang, Elias J Sayour, Steven H Lin

Faculty, Staff and Student Publications

Immune checkpoint inhibitors (ICIs) extend survival in many patients with cancer but are ineffective in patients without pre-existing immunity1–9. Although personalized mRNA cancer vaccines sensitize tumours to ICIs by directing immune attacks against preselected antigens, personalized vaccines are limited by complex and time-intensive manufacturing processes10–14. Here we show that mRNA vaccines targeting SARS-CoV-2 also sensitize tumours to ICIs. In preclinical models, SARS-CoV-2 mRNA vaccines led to a substantial increase in type I interferon, enabling innate immune cells to prime CD8+ T cells that target tumour-associated antigens. Concomitant ICI treatment is required for …

Continuous Androgen Deprivation Therapy With Or Without Metastasis-Directed Therapy For Oligometastatic Prostate Cancer: The Multicenter Phase 2 Randomized Extend Trial, Alexander D Sherry, Bilal A Siddiqui, Cara Haymaker, Bryan M Fellman, Marina N Medina-Rosales, Tharakeswara K Bathala, Shuqi Wang, Suyu Liu, Aaron Seo, Kieko Hara, Hsinyi Lu, Patricia Troncoso, Stephen G Chun, Chul S Ha, Lauren L Mayo, Henry Mok, Ryan J Park, Brian F Chapin, Ryan M Phillips, Matthew P Deek, Craig A Kovitz, Ana Aparicio, Amado J Zurita, Patrick G Pilie, Lorenzo Cohen, Seungtaek L Choi, Alexandre Reuben, Phuoc T Tran, Paul G Corn, Sumit K Subudhi, Chad Tang

Faculty, Staff and Student Publications

Background and objective: Oligometastatic prostate cancer (omPC) is characterized by limited metastases. We hypothesized that metastasis-directed therapy (MDT) to all sites of omPC combined with androgen deprivation therapy (ADT) would improve clinical outcomes.

Methods: In the multicenter phase 2 EXTEND trial, patients with omPC were randomized 1:1 to ADT versus MDT + ADT in two independently powered and randomized baskets, one using intermittent ADT and one using continuous ADT. The primary endpoint was progression-free survival (PFS). The secondary endpoints included radiologic PFS (rPFS) and castration resistance-free survival (CRFS). Here, the primary results of the continuous ADT basket, the combined analysis …

Rank-Based Learning: A Novel High-Throughput Algorithm Resilient To Missing Data And Effective For Datasets With Small Sample Size, Lulu Song, Hamid Khoshfekr Rudsari, Johannes F Fahrmann, Jody Vykoukal, Sam Hanash, James P Long, Kim-Anh Do, Ehsan Irajizad

Faculty, Staff and Student Publications

High-throughput omics data present challenges for binary classification due to platform variability, batch effects, missing values, and high dimensionality. This study presents a novel Rank-Based Learning (RBL) method that leverages relative feature rankings to improve robustness and generalizability. We evaluated RBL against established methods like Logistic Regression (LR) and Random Forest (RF) using simulated data and two real-world plasma proteomics datasets: early-stage small cell lung cancer (SCLC) and duodenopancreatic neuroendocrine tumors (dpNET) in patients with Multiple Endocrine Neoplasia type 1 (MEN1). In simulation experiments, RBL outperformed LR under conditions involving batch effects, missing data, and varying numbers of true differential …

Protein Kinase Giα Oxidation Negatively Regulates Antibody Production By B Cells, Hyun-Ju Cho, Rebecca L Charles, Oleksandra Prysyazhna, Sapna Arjun, Asvi A Francois, Kevin M Mcbride, Philip Eaton

Faculty, Staff and Student Publications

Endogenous oxidants induce a C42-dependent interprotein disulfide between the subunits of protein kinase G (PKG) Iα in cardiovascular tissues to control blood pressure and ventricular relaxation during diastole. PKGIα is expressed in other cell types, including those of the immune system, where the redox state of this kinase is likely to regulate other important physiological processes. The role of PKGIα oxidation in antibody production by B cells, which produce oxidants such as hydrogen peroxide during differentiation, was examined by comparing the immune response of oxidation-resistant C42S PKGIα knock-in (KI) mice to their wild type (WT) littermates.

Immunization with the 4 …

Sweet Syndrome Successfully Treated With Upadacitinib, Valeria Duque-Clavijo, Hung Q Doan, John A Das, Stephen K Tyring

Faculty, Staff and Student Publications

No abstract provided.

Delayed Presentation Of A Retained Colonic Segment In A Child With Intestinal Failure On Teduglutide, Rachel C Bordelon, Sarah J Varalla, Varaha S Tammisetti, Mohamed M Shahin, Amanda Tchakarov, Essam Imseis, Allison L Speer

Faculty, Staff and Student Publications

Teduglutide is a glucagon-like peptide 2 (GLP-2) analogue that was approved by the United States Food and Drug Administration for the treatment of pediatric (>1 year) intestinal failure due to short bowel syndrome in 2019. GLP-2 analogues promote rapid intestinal adaptation, increasing the absorptive capacity of residual intestine after surgical resection to aid the achievement of enteral autonomy or reduce parenteral nutrition requirements. Despite relatively few reported side effects, there is a theoretical risk of proliferative complications. Here we present an intriguing case of a pediatric patient found to have a decade-long retained, discontinuous segment of colon from a …

Replication-Competent, Tumor-Specific Immuno-Gene Vectors Allow For Exchange Of Transgenes And Lead To Viral Persistence Following Iv Administration, Lee S Rosen, Christian Ottensmeier, Maria Hawkins, Aung Naing, Guru Sonpavde, Brian A Van Tine, Eileen E Parkes, Sean M O'Cathail, Rui-Ru Ji, Matthew Thomas, Andrea Stacey, Maria Stella Sasso, Oliver Rosen

Faculty, Staff and Student Publications

Introduction: Enadenotucirev (EnAd) and successor transgene-armed Tumor-Specific Immuno-Gene (T-SIGn) vectors are replication-competent, blood-stable viral vectors that traffic to tumor sites following intravenous (IV) administration. Following initial proof of mechanism for this immunotherapy modality, there is a need to identify a safe dosing approach, understand whether transgenes affect tolerability, and determine how to measure exposure and pharmacodynamic effects.

Methods: Safety data from multiple phase 1 trials were aggregated to assess various dosing regimens and toxicities, including those that may be associated with transgene arming. Viral delivery to tumors, peripheral viral persistence, transgene expression, and cytokine responses were also assessed and compared …

Corrigendum To "Single-Cell Proteomic Analysis Reveals Multiple Myeloma Heterogeneity And The Dynamics Of The Tumor Immune Microenvironment In Precursor And Advanced States" [Neoplasia 66 (2025) 1101189], Mohamed Kamal, Stephanie N Shishido, Jeremy Mason, Krina Patel, Elisabet E Manasanch, Robert Z Orlowski, Peter Kuhn

Faculty, Staff and Student Publications

No abstract provided.

Integration Of Genetic And Imaging Data For Alzheimer's Disease Diagnosis And Interpretation, Yanfei Wang, Qing Wang, Minghao Zhou, Jialu Liang, Lei You, Breton Asken, Xiaobo Zhou, Qianqian Song

Faculty, Staff and Student Publications

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by complex interactions between genetic risk factors and structural brain changes. Traditional diagnostic approaches that rely on single-modality data, such as imaging or genomics alone, often fall short in both predictive accuracy and biological interpretability. To address these limitations, AlzCLIP, a novel contrastive learning framework that integrates single nucleotide polymorphism (SNP) profiles and MRI-derived imaging features into a unified embedding space is introduced. This joint representation captures disease-relevant interactions between genetic variation and brain structure, enabling both accurate diagnosis and mechanistic insight into AD. AlzCLIP is trained and evaluated on two …

Opposing Roles Of Microglial And Macrophagic C3ar1 Signaling In Stress-Induced Synaptic And Behavioral Changes, Ashutosh Tripathi, Alona Bartosh, Dania Jose, Jocelyn Mata, Usama Hussein, Fernanda Laezza, Zhongming Zhao, Anilkumar Pillai

Faculty, Staff and Student Publications

The social deficits following chronic stress conditions are linked to synaptic dysfunction in the brain. Complement system plays a critical role in synapse regulation. Although complement has been implicated in chronic stress-induced behavior deficits the cellular substrates and mechanisms underlying complement-mediated behavior changes under chronic stress conditions are not known. In the present study, we investigated the role of complement component 3a receptor (C3ar1) in microglia and monocytes/macrophages (Mo/MΦ) in chronic unpredictable stress (CUS)-induced synapse loss and behavior deficits in mice. We found that deletion of microglial C3ar1 attenuated stress-induced social behavior deficits and changes in neuroinflammatory as well as …

Diffuse Cutaneous Alk-Immunoreactive Histiocytosis With Mef2c::Flt3 Fusion, Sanjana Likki, Kevin Lee, Fiorinda Muhaj, Wei Wang, Pei Lin, Woo Cheal Cho, Doina Ivan, Carlos A Torres-Cabala, Luis Fayad, Jonathan L Curry

Faculty, Staff and Student Publications

No abstract provided.

Multi-Modal Spatial Characterization Of Tumor Immune Microenvironments Identifies Targetable Inflammatory Niches In Diffuse Large B Cell Lymphoma, Yibo Dai, Atish Kizhakeyil, Dai Chihara, Xubin Li, Yunhe Liu, Tania Patricia Sainz Zuniga, Ashley Wilson, Jared Henderson, Daniil Vibe, Arman Petrosyants, Connor Jacobson, Alexander Sarachakov, Krystle Nomie, Kirill Kryukov, Aleksander Bagaev, Ayushi Chauhan, Jason R Westin, Christopher R Flowers, Francisco Vega, Linghua Wang, Michael R Green

Faculty, Staff and Student Publications

Diffuse large B cell lymphomas (DLBCLs) are a heterogeneous group of malignancies that can arise in lymph nodes or extranodal locations, including immune-privileged sites. Here, we applied highly multiplexed spatial transcriptomics and proteomics together with genomic profiling to characterize the immune microenvironment architecture of 78 DLBCL tumors. We define seven distinct cellular niches, each characterized by unique cellular compositions, spatial organizations and patterns of intercellular communication associated with niche-specific phenotypes of both T cells and tumor B cells. Among these, DLBCLs from immune-privileged sites showed abundant T cell infiltration into diffuse niches, where immune cells were intermixed with tumor B …

Data-Driven Abdominal Phenotypes Of Type 2 Diabetes In Lean, Overweight, And Obese Cohorts From Computed Tomography, Lucas W Remedios, Chloe Cho, Trent M Schwartz, Dingjie Su, Gaurav Rudravaram, Chenyu Gao, Aravind R Krishnan, Adam M Saunders, Michael E Kim, Shunxing Bao, Alvin C Powers, Bennett A Landman, John Virostko

Faculty, Staff and Student Publications

Purpose: Although elevated body mass index (BMI) is a well-known risk factor for type 2 diabetes, the disease's presence in some lean adults and absence in others with obesity suggests that more detailed measurements of body composition may uncover abdominal phenotypes of type 2 diabetes. With artificial intelligence (AI) and computed tomography (CT), we can now leverage robust image segmentation to extract detailed measurements of size, shape, and tissue composition from abdominal organs, abdominal muscle, and abdominal fat depots in 3D clinical imaging at scale. This creates an opportunity to empirically define body composition signatures linked to type 2 diabetes …

Basal Cell Carcinoma Risk Prediction In Survivors Of Childhood Cancer, Cindy Im, Christina Boull, Zhe Lu, Kenneth Liao, Hasibul Hasan, Linwan Xu, Yadav Sapkota, Rebecca M Howell, Michael A Arnold, Miriam R Conces, Ashley J Housten, Judith Gebauer, Thorsten Langer, Jop C Teepen, Leontien C M Kremer, Louis S Constine, Yutaka Yasui, Melissa M Hudson, Kirsten K Ness, Gregory T Armstrong, Joseph P Neglia, Yan Yuan, Lucie M Turcotte

Faculty, Staff and Student Publications

Background: Survivors of childhood cancer face excess risk of developing basal cell carcinoma. Age-specific basal cell carcinoma risk prediction models for survivors may support targeted screening recommendations.

Methods: We developed models predicting basal cell carcinoma risk by ages 40 and 50 years featuring detailed cancer treatment predictors, utilizing statistical and machine-learning algorithms and data from 23 166 five-year survivors in the Childhood Cancer Survivor Study, a multi-institutional retrospective cohort study. Selected models were externally validated in 5314 survivors in the St Jude Lifetime Cohort. Model discrimination and precision were evaluated using the area under the receiver operating characteristic curve (AUROC) …