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 …

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 …

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 …

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 …

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 …

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 …

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 …

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) …

Study Of 18 F-Fluciclovine Pet For Serial Assessment Of Glioblastoma Tumor Volumes During Surgery And Radiotherapy, Samir A Dagher, Jason M Johnson, Rania M M Mohamed, Shehbaz Ansari, Osama Mawlawi, Ho-Ling Liu, Max Wintermark, Dawid Schellingerhout, Lesley Flynt, Debra N Yeboa, Jeffrey S Weinberg, Sherise D Ferguson, Maria K Gule-Monroe

Faculty, Staff and Student Publications

PURPOSE: Recent evidence supports incorporating 18 F-Fluciclovine PET for glioblastoma treatment planning and monitoring, as it better captures tumor infiltration compared to conventional MRI. However, the relationship between PET- and MRI-defined tumor volumes remains unclear, particularly in the post-treatment setting. This study prospectively compares tumor volumes on MRI and PET at multiple timepoints throughout the treatment course and evaluates volumetric changes with therapy.

METHODS: We prospectively enrolled 8 adults with IDH-wildtype glioblastoma treated with surgery and chemoradiation between September 2019 and 2021. Participants underwent paired 18 F-Fluciclovine PET/CT and conventional MRI at four timepoints: preoperatively, pre-radiation, and at one- and …

Acute Kidney Injury Is Associated With Elevated Urinary Endotrophin, Amanda J Clark, Brenda Mendoza Flores, Marie Christelle Saade, Kyle Q Vu, Isaac J Pence, Ningyan Zhang, Zhiqiang An, Dawei Bu, Philipp E Scherer, Samir M Parikh

Faculty, Staff and Student Publications

Acute kidney injury (AKI) is prevalent among hospitalized patients. Novel biomarkers are needed to diagnose AKI and target therapies. Endotrophin (ETP) is a molecule released during collagen type VI formation that may promote injury and fibrosis. Although serum ETP elevation has been associated with adverse outcomes in AKI, urinary ETP has not been assessed in AKI, nor has ETP been evaluated in a pediatric population. Urine samples were collected from a tertiary children's hospital. Medical records were reviewed, and patients who met criteria were sorted into three categories:

In Silico Assessment Of Cellular Damage From Lu-177, Ac-225, And Pb-212 Therapeutic Radionuclides, Konstantinos P Chatzipapas, Konstantinos Papachristou, Dimitris Visvikis, Sebastien Incerti, John D Hazle, George C Kagadis

Faculty, Staff and Student Publications

Background: Targeted radionuclide therapy (TRT) has emerged as a unique and effective treatment modality for cancer. Monte Carlo simulations have greatly advanced investigations into radiation-caused DNA damage, including the complexity of this damage.

Purpose: This study aimed to evaluate DNA damage induced by high-linear energy transfer therapeutic radionuclides used in TRT, specifically 225Ac, 177Lu, and 212Pb, using Geant4-DNA Monte Carlo simulations.

Methods: The Geant4-DNA toolkit, incorporating the "molecularDNA" example, was employed to simulate radiation interactions within a human fibroblast cell model featuring a fractal chromatin fiber geometry within an ellipsoidal nucleus. Three source geometries (membrane, cytoplasm, nucleus) were modeled to …

Surgical Outcomes With Neoadjuvant Durvalumab Plus Chemotherapy Followed By Adjuvant Durvalumab In Resectable Nsclc, Tetsuya Mitsudomi, John V Heymach, Martin Reck, Janis M Taube, Shugeng Gao, Yoshitsugu Horio, Jian You, Gaofeng Li, Dinh Van Luong, Somcharoen Saeteng, Fumihiro Tanaka, Stefan B Watzka, Laszlo Urban, Zsuzsanna Szalai, Hiroaki Akamatsu, Jin Hyoung Kang, Francisco J Orlandi, Guzel Z Mukhametshina, Andreas Pircher, Carlos Henrique Andrade Teixeira, Mike Aperghis, Gary J Doherty, Ruth Doake, Tamer M Fouad, David Harpole

Faculty, Staff and Student Publications

Introduction: In AEGEAN, perioperative durvalumab plus neoadjuvant chemotherapy, versus neoadjuvant chemotherapy alone, significantly improved event-free survival (p = 0.004) and pathologic complete response (p < 0.001; primary end points; modified intention-to-treat [mITT] population, which excluded patients with known EGFR or ALK aberrations) with a manageable safety profile in patients with resectable (R)-NSCLC. Here, we report surgical outcomes from AEGEAN.

Methods: Patients with treatment-naive R-NSCLC (stage II-IIIB [N2]) and Eastern Cooperative Oncology Group performance status 0 or 1 were randomized (1:1) to platinum-based chemotherapy plus durvalumab or placebo intravenously (every 3 wk, 4 cycles) before surgery, followed by durvalumab or placebo (every 4 wk, 12 cycles). Surgical outcomes were summarized for the mITT population using descriptive statistics.

Results: A total of 737 out of 740 mITT patients received treatment, 366 and 371 in the durvalumab and …

The Ifit2-Ifit3 Antiviral Complex Targets Short 5′ Untranslated Regions On Viral Mrnas For Translation Inhibition, Dustin R Glasner, Candace Todd, Brian Cook, Agustina D'Urso, Shivani Khosla, Elena Estrada, Jaxon D Wagner, Mason D Bartels, Chuan-Tien Hung, Pierce Ford, Jordan Prych, Kathryn S Hatch, Brian A Yee, Kaori M Ego, Qishan Liang, Sarah R Holland, James Brett Case, Kevin D Corbett, Michael S Diamond, Benhur Lee, Gene W Yeo, Mark A Herzik, Eric L Van Nostrand, Matthew D Daugherty

Faculty, Staff and Students Publications

Recognition of foreign RNA is critical for the innate immune response to viruses. Interferon (IFN)-induced proteins with tetratricopeptide repeats (IFIT) 2 and 3 are highly upregulated following viral infection, but mechanistic insight into their antiviral role is lacking. Here we demonstrate that short 5' untranslated regions (UTRs), a characteristic of many viral mRNAs, can serve as a molecular pattern for innate immune recognition via IFIT2 and IFIT3. Structure determination of the IFIT2-IFIT3 complex at 3.2 Å using cryo-EM reveals a domain-swapped heterodimer that is required for recognition of the viral mRNA 5' end, translation inhibition and antiviral activity. Critically, viral …

Reprogrammed Glucose Metabolism In Vascular Smooth Muscle Cells And Its Implications For Vascular Diseases, Qian Ma, Yongfeng Cai, Qiuhua Yang, Wendy Zhang, Suowen Xu, Yuqing Huo

Faculty, Staff and Students Publications

Vascular smooth muscle cells (VSMCs) play a pivotal role in maintaining vascular homeostasis and are critical contributors to the pathogenesis of various vascular diseases, including atherosclerosis, calcification, aneurysms, and pulmonary hypertension. Emerging evidence highlights the significance of glucose metabolism in regulating VSMC phenotypic transitions during these pathologies. This review provides a comprehensive overview of the major glucose metabolic pathways in VSMCs, glycolysis, the pentose phosphate pathway (PPP), and the hexosamine biosynthetic pathway (HBP), and their roles in disease development. We summarize the molecular mechanisms linking glucose metabolic reprogramming to VSMC dysfunction, focusing on key regulatory enzymes and signaling pathways. Additionally, …

Endothelial Adenosine Receptor 2a Loss Alleviates Diabetic Vascular Calcification By Blocking Creb1-Snai1-Driven Endmt, Yaqi Zhou, Dingwei Zhao, Qian Ma, Jiean Xu, Yongfeng Cai, Qiuhua Yang, Qingen Da, Kian Sheridan, Chunxiang Zhang, Clint L Miller, Rajeev Malhotra, Suowen Xu, Mei Hong, Yuqing Huo

Faculty, Staff and Students Publications

Vascular calcification (VC), a common complication associated with diabetes mellitus (DM), substantially increases the risk of cardiovascular diseases and is associated with elevated mortality in individuals with DM. Endothelial-to-mesenchymal transition (EndMT) imparts phenotypic plasticity to vascular endothelial cells (VECs), granting them the potential for osteogenic differentiation, which is a crucial mechanism in regulating VC. Notably, adenosine-ADORA2A-mediated endothelial dysfunction plays a pivotal regulatory role in cardiovascular diseases. However, the specific role of endothelial ADORA2A in diabetic VC remains to be elucidated. In this study, we found that ADORA2A was upregulated in the endothelium of diabetic mice and cultured human aortic endothelial …

Inhibition Of Bmper Mitigates Pulmonary Hypertension By Modulating Lrp1-Yap Interaction In Smooth Muscle Cells, Hua Mao, Claire M Li, Bing Sun, Christopher S Ward, Alan R Waich-Cohen, Ivan O Rosas, Howard J Huang, Harry Karmouty-Quintana, Liang Xie, Lavannya M Pandit, Xinchun Pi

Faculty, Staff and Students Publications

Background: BMPER (bone morphogenetic protein-binding endothelial regulator) is a secreted protein that is highly expressed in endothelial cells. It regulates the BMP (bone morphogenetic protein) pathway during vascular development and adulthood. Mutations in the BMP pathway are recognized as risk factors for pulmonary arterial hypertension group 1 pulmonary hypertension (PH). However, the roles of BMPER in pulmonary arterial hypertension remain unknown.

Methods: We assessed BMPER expression in Group 1 pulmonary arterial hypertension patient samples and examined its role in vascular remodeling using in vivo and in vitro approaches.

Results: BMPER level was elevated in pulmonary arterial hypertension lungs and significantly …

Predictors Of Response To Emergent Therapies In Paediatric Immune Thrombocytopenia, Candelaria O'Farrell, Taylor M Luckie, Matthew J Willis, Susan E Kirk, Brandon R Lucari, Michael E Scheurer, Xiaotian Gao, Amanda B Grimes

Faculty, Staff and Students Publications

Emergent therapies (ET), which include intravenous immunoglobulin (IVIG), corticosteroids and intravenous anti‐Rho(D) immunoglobulin, are used to treat acute episodes of bleeding in children with immune thrombocytopenia (ITP). There are currently no known biomarkers or clinical features predictive of treatment response to any specific ET. Thus, the treatment of ITP remains largely trial and error, exposing patients to potentially ineffective medications, which are often expensive and associated with adverse effects. We therefore sought to identify the predictors of treatment response through comparison of clinical characteristics in paediatric patients with ITP responsive to ET versus those non‐responsive to ET. We identified high …

Targeting Adenosine 2a Receptor Signaling Suppresses Vascular Calcification By Restraining Smooth Muscle Osteogenic Differentiation, Yaqi Zhou, Dingwei Zhao, Qian Ma, Sujin Lee, Kangsan Roh, Yongfeng Cai, Jiean Xu, Qiuhua Yang, Qingen Da, Zhiping Liu, Kunfu Ouyang, Eric J Belin De Chantemele, Mei Hong, Clint L Miller, Rajeev Malhotra, Chunxiang Zhang, Suowen Xu, Yuqing Huo

Faculty, Staff and Students Publications

Vascular calcification (VC) is a major contributor to cardiovascular morbidity and mortality, particularly in patients with chronic kidney disease (CKD). Adenosine 2 A receptor (ADORA2A) is highly expressed in vascular cells and implicated in cardiovascular disease; however, its specific role in VC pathogenesis remains unclear. Here, we investigated the role of ADORA2A using in vitro (vascular smooth muscle cells; VSMCs), ex vivo (mouse aortic rings), and in vivo (5/6th nephrectomy with high phosphate and cholecalciferol) models of VC. The ADORA2A expression was significantly upregulated in calcified human and murine aortic tissues, as well as in VSMCs, under osteogenic conditions. Genetic …

Apol2 Stabilizes Ku80 To Confer Nhej-Mediated Radioresistance In Gastric Cancer, Dan Zu, Qimei Bao, Hanyi He, Yuke Zhong, Mingcong Deng, Yangchan Hu, Chunkai Zhang, Chen Liang, Yixing Huang, Haidong Liu, Xiao Li, Yanhua He, Guoyan Luo, Weixin Wu, Fenghui Guan, Shengfeng Xu, Min Liu, Albino Bacolla, Ji Jing, Yian Du, John A Tainer, Yin Shi, Zu Ye, Xiangdong Cheng

Faculty, Staff and Student Publications

Radiotherapy is one of the most important adjuvant treatment methods for gastric cancer (GC). However, radioresistance remains a major clinical obstacle. In this study, APOL2 is identified as a key player in promoting non-homologous end joining (NHEJ)-mediated double-strand break (DSB) repair and enhancing radioresistance in GC. Bioinformatics and clinical data revealed that high APOL2 expression is correlated with poor prognosis in GC patients. Functional experiments showed that APOL2 overexpression enhances genomic stability by accelerating DSB repair via the NHEJ pathway, while APOL2 knockout impairs repair capacity. Mechanistically, APOL2 binds to and stabilizes Ku80 by enhancing USP7-mediated deubiquitylation, thereby increasing Ku80 …

Genome Sequencing Reveals The Impact Of Pseudoexons In Rare Genetic Disease, Georgia Pitsava, Megan Hawley, Light Auriga, Ivan De Dios, Arthur Ko, Sofia Marmolejos, Miguel Almalvez, Ingrid Chen, Kaylee Scozzaro, Jianhua Zhao, Rebekah Barrick, Nicholas Ah Mew, Vincent A Fusaro, Jonathan Lotempio, Matthew Taylor, Luisa Mestroni, Sharon Graw, Dianna Milewicz, Dongchuan Guo, David R Murdock, Kinga M Bujakowska, Changrui Xiao, Emmanuèle C Délot, Seth I Berger, Eric Vilain

Faculty, Staff and Student Publications

Purpose: Advancements in sequencing technologies have significantly improved clinical genetic testing; yet, the diagnostic yield remains around 30% to 40%. Emerging technologies are now being deployed to address the remaining diagnostic gap.

Methods: We tested whether short-read genome sequencing could increase the diagnostic yield in individuals enrolled into the UCI-GREGoR research study, who had suspected Mendelian conditions and prior inconclusive testing. Two other collaborative research cohorts, focused on aortopathy and dilated cardiomyopathy, consisted of individuals who were undiagnosed but had not undergone harmonized prior testing.

Results: We sequenced 353 families (754 participants) and found a molecular diagnosis in 54 (15.3%) …

Restricting Metabolic Plasticity Enhances Stress Adaptation Through The Modulation Of Pdh And Hif1a In Trap1-Depleted Colon Cancer, Hong-Yuan Tsai, Miao-Hsueh Chen, Jihye Yun, Lisa A Lai, John F Valentine, Mary P Bronner, Teresa A Brentnall, Sheng Pan, Ru Chen

Faculty, Staff and Student Publications

Metabolic plasticity allows cancer cells to survive under adverse conditions. To investigate the role of mitochondrial chaperone tumor necrosis factor receptor-associated protein 1 (TRAP1) in this process, we used CRISPR/Cas9 mediated genetic deletion to knock out (KO) TRAP1 in colon cancer cells. Depletion of TRAP1 triggered a series of events: induced metabolic reprogramming, increased glycolytic flux, downregulation of mitochondrial complex I, and elevated ROS generation. TRAP1-deficient cells showed tolerance to Oxidative Phosphorylation (OXPHOS) inhibitors and exhibited a higher extracellular acidification rate (ECAR). Additionally, TRAP1 depletion activated hypoxia response elements (HREs) and upregulated HIF1A target genes such as GLUT1 and MCT1. …