Biomedical Informatics Commons^™

Defining Treatment-Resistant Bipolar Depression: Recommendations From The Isbd Task Force, Eduard Vieta, Roger S Mcintyre, Trisha Suppes, Tamsyn E Van Rheenen, Balwinder Singh, Kamilla Woznica Miskowiak, Allan H Young, Lakshmi N Yatham, Kyooseob Ha, Michael Berk, Holly A Swartz, Chantal Henry, Maja Pantovic Stefanovic, Gerard Anmella Diaz, Aysegul Ozerdem, Wiesław J Cubała, Diego Hidalgo-Mazzei, Mauricio Tohen, Isabella Pacchiarotti, Paula Villela Nunes, Carlos Lopez-Jaramillo, Ana Gonzalez-Pinto, Paolo Brambilla, Robert Post, Jair C Soares, Michael Bauer, Ana C Andreazza, Xavier Justes Fradera, Montserrat Cosials-Lopez, Giovanna Fico

Faculty, Staff and Student Publications

Objective: Despite the availability of approved treatments, a substantial proportion of patients with bipolar disorder experience treatment-resistant bipolar depression (TRBD), characterized by persistent depressive symptoms unresponsive to standard therapies. However, a universally accepted definition of TRBD is lacking. This consensus document, developed by the International Society for Bipolar Disorders (ISBD) Task Force on TRBD, aims to provide a standardized definition of TRBD to facilitate clinical trials, research, and treatment strategies.

Methods: The Task Force employed a literature review, clinical trials analysis, and expert consensus meetings to define TRBD.

Results: TRBD was defined as the failure to achieve a significant and …

An Exciting Future For Microbial Molecular Biology And Physiology, Andrew A Bridges, Leah Guthrie, Mckenzie Lehman, Elizabeth H Kellogg, Samantha Wellington Miranda, Andrew Pountain, Anthony L Shiver, Andrew Varble, Molecular Biology And Physiology Community Of The Council On Microbial Sciences, Heidi B Kaplan, Elizabeth A Shank, Gisela Storz

Faculty, Staff and Student Publications

Continuous advances in technologies ranging from deep sequencing and genetic manipulation to mass spectrometry, single cell imaging, and structural biology have led to previously unimaginable advances in our understanding of microbial physiology and the molecular mechanisms underlying microbial responses in a multitude of environments. Simultaneously, these advances are revealing how much more there is to learn. At the 2024 virtual retreat of the Molecular Biology and Physiology (MBP) Community of the Council on Microbial Sciences (COMS) of the American Society for Microbiology (ASM), eight early-career investigators, along with retreat attendees, discussed some of these astounding advances, as well as the …

Assessing The Muc5b Promoter Variant In A Large Cohort Of Systemic Sclerosis-Associated Interstitial Lung Disease, Carlos Rosa-Baez, Carlos Rangel-Pelaez, Inmaculada Rodriguez-Martin, Martin Kerick, Alfredo Guillen-Del-Castillo, Carmen P Simeon-Aznar, José Luis Callejas, Alexandre E Voskuyl, Alexander Kreuter, Oliver Distler, Susanna M Proudman, Mandana Nikpour, Nicolas Hunzelmann, Jeska K De Vries-Bouwstra, Ariane L Herrick, Yannick Allanore, Lorenzo Beretta, Maureen D Mayes, Christopher P Denton, Shervin Assassi, Javier Martin, Marialbert Acosta-Herrera

Faculty, Staff and Student Publications

Objective: The common gain-of-function variant rs35705950, located in the promoter of MUC5B gene, has been strongly associated with interstitial lung diseases (ILDs) of different aetiology, such as idiopathic pulmonary fibrosis (IPF) and rheumatoid arthritis-associated ILD (RA-ILD). In this study, we aimed to investigate the association of this variant and its nearby single nucleotide polymorphisms (SNPs) in the largest cohort of systemic sclerosis-associated ILD (SSc-ILD) to date.

Methods: Samples were collected from blood/saliva, followed by DNA extraction and genotyping using SNP arrays. Data for rs35705950 and additional 903 variants within 100 Kb were obtained using genomic imputation. Subsequently, we tested their …

Video-Based Intervention To Reduce Treatment And Outcome Disparities In Adults Living With Stroke Or Transient Ischemic Attack (Virtual): Protocol For A Randomized Controlled Trial, Munachi Okpala, Chigozirim Izeogu, Mengxi Wang, Charles Green, Gabretta Cooksey, Thuy Nguyen, Sarah Cohen, Latonya Bryant, Daphne C Hernandez, Elmer V Bernstam, Michael Gonzales, Rhonda Conyers, Olasimbo Chiadika, Kristin Varacalli, Sean I Savitz, Jose-Miguel Yamal, Anjail Z Sharrief

Faculty, Staff and Student Publications

Background: Racial and ethnic disparities in post-stroke blood pressure (BP) control persist, and effective interventions to address post-stroke care inequities are needed. We designed a randomized comparative effectiveness trial to evaluate the Video-based Intervention to Reduce Treatment and Outcome Disparities in Adults Living with Stroke or Transient Ischemic Attack (VIRTUAL) model of care for post-stroke BP reduction.

Methods: The study will enroll 534 stroke survivors in a randomized trial to receive either the VIRTUAL intervention or enhanced standard care. Individuals with ischemic stroke, hemorrhagic stroke, or transient ischemic attack (TIA) are enrolled before hospital discharge and randomized (1:1) to VIRTUAL …

Extracellular Vesicles For Clinical Diagnostics: From Bulk Measurements To Single-Vesicle Analysis, Hai Linh Tran, Wenshu Zheng, David A Issadore, Hyungsoon Im, Yoon-Kyoung Cho, Yuanqing Zhang, Dingbin Liu, Yang Liu, Bo Li, Fei Liu, David Tai Wai Wong, Jiashu Sun, Kun Qian, Mei He, Meihua Wan, Yong Zeng, Ke Cheng, Tony Jun Huang, Daniel T Chiu, Luke P Lee, Lei Zheng, Andrew K Godwin, Raghu Kalluri, Steven A Soper, Tony Y Hu

Faculty, Staff and Student Publications

Extracellular vesicles (EVs) play a crucial role in intercellular communication, signaling pathways, and disease pathogenesis by transporting biomolecules such as DNA, RNA, proteins, and lipids derived from their cells of origin, and they have demonstrated substantial potential in clinical applications. Their clinical significance underscores the need for sensitive methods to fully harness their diagnostic potential. In this comprehensive review, we explore EV heterogeneity related to biogenesis, structure, content, origin, sample type, and function roles; the use of EVs as disease biomarkers; and the evolving landscape of EV measurement for clinical diagnostics, highlighting the progression from bulk measurement to single vesicle …

Hippocampal Avoidance During Prophylactic Cranial Irradiation For Patients With Small Cell Lung Cancer: Randomized Phase Ii/Iii Trial Nrg-Cc003, Vinai Gondi, Stephanie L Pugh, Minesh P Mehta, Jeffrey S Wefel, Wolfgang A Tomé, Alexander Y Sun, John Grecula, Kristin J Redmond, Shannon Fogh, Laurie Gaspar, Andre Konski, Joseph Bovi, Clifford G Robinson, Benjamin Corn, Gregory M Videtic, Benjamin H Lok, Harold A Yoon, John H Heinzerling, Albert S Denittis, Ronald C Mcgarry, Kiran Devisetty, Vijayananda Kundapur, Abraham J Wu, Edward C Mccarron, Isabelle Thibault, Edmund L Simon, Andrew M Baschnagel, Samir Narayan, Jondavid Pollock, Rebecca Paulus, Lisa A Kachnic

Faculty, Staff and Student Publications

Purpose: Hippocampal avoidance (HA) during therapeutic whole-brain radiotherapy reduces the risk of neurocognitive function (NCF) toxicity in patients with brain metastasis. This trial hypothesized that HA during prophylactic cranial irradiation (PCI) in patients with small cell lung cancer (SCLC) leads to noninferior intracranial relapse (ICR) and reduction in NCF toxicity.

Methods: This randomized phase II/III trial enrolled patients with SCLC, no brain metastases, and response to chemotherapy. The primary end points were 12-month ICR (noninferiority design, randomized phase II) and 6-month Hopkins Verbal Learning Test-Revised (HVLT-R) Delayed Recall (DR) failure (phase III). Secondary end points were failure in any NCF …

Keap1 And Stk11/Lkb1 Alterations Enhance Vulnerability To Atr Inhibition In Kras Mutant Non-Small Cell Lung Cancer, Ana Galan-Cobo, Natalie I Vokes, Yu Qian, David Molkentine, Kavya Ramkumar, Alvaro G Paula, Marlese Pisegna, Daniel J Mcgrail, Alissa Poteete, Sungnam Cho, Minh Truong Do, Amirali Karimi, Yifan Kong, Anisha Solanki, Ankur Karmokar, Nicolas Floc'h, Adina Hughes, Rebecca Sargeant, Lucy Young, Li Shen, Gozde Kar, Caezaan Keshvani, Claudio Arrechedera, Sharia Hernandez, Katharina Schlacher, Jing Wang, Sonia Iyer, James Conway, Mohamed Reda Keddar, Marta Milo, Ilario De Toma, Susan E Critchlow, J Carl Barrett, Jan Cosaert, Alan Lau, Viia Valge-Archer, Lauren A Byers, Simon T Barry, John V Heymach

Faculty, Staff and Student Publications

KRAS mutations frequently co-occur with alterations in STK11/LKB1 and/or KEAP1, defining an aggressive subset of lung cancers resistant to immuno- and chemotherapy. While LKB1 loss is associated with vulnerability to DNA damage response-based therapies, the impact of KEAP1 alterations remains unknown. We demonstrate that KEAP1-NRF2 pathway drives a compensatory modulation of ATR-CHK1 signaling, enhancing vulnerability to ATR inhibitors (ATRi), particularly in the setting of increased replication stress associated with LKB1 loss. ATRi shows enhanced anti-tumor activity in LKB1 and/or KEAP1-deficient non-small cell lung cancer (NSCLC) models and synergizes with gemcitabine. ATRi also enhances antitumor immunity and mitigates the immunosuppressed phenotype …

Health Outcomes Beyond Age 50 Years In Survivors Of Childhood Cancer: A Report From The Childhood Cancer Survivor Study, Rusha Bhandari, Yan Chen, Eric J Chow, Rebecca M Howell, Lisa B Kenney, Kevin R Krull, Wendy Leisenring, Paul C Nathan, Joseph P Neglia, Kirsten K Ness, Kevin C Oeffinger, Claire Snyder, Lucie M Turcotte, F Lennie Wong, Yutaka Yasui, Gregory T Armstrong, Saro H Armenian

Faculty, Staff and Student Publications

Purpose: There are limited data on the risk for mortality and health outcomes among the increasing population of older (age >50 years) survivors of childhood cancer during this later stage in life when there is an expected increase in aging-related morbidities.

Methods: We assessed cause-specific mortality, incident new cancers, chronic health conditions (CHCs), frailty, and health status among survivors from the Childhood Cancer Survivor Study, conditional on surviving to 50 years. We calculated conditional survival rates, standardized mortality ratios (SMRs), and, for incident new cancers, cumulative burden, standardized incidence ratios (SIRs), and relative rates (RRs), compared with the general US …

Mutant P53 Confers Chemoresistance By Activating Kmt5b-Mediated Dna Repair Pathway In Nasopharyngeal Carcinoma, Haidan Luo, Mo-Fan Huang, An Xu, Donghui Wang, Julian A Gingold, Jian Tu, Ruoyu Wang, Zijun Huo, Yen-Ting Chiang, Kuang-Lei Tsai, Jie Su, Danielle A Bazer, Mien-Chie Hung, Canmao Xie, Yubiao Guo, Dung-Fang Lee, Huiling Yang, Ruiying Zhao

Faculty, Staff and Student Publications

Nasopharyngeal carcinoma (NPC), a malignancy arising from the nasopharyngeal epithelium, is common in the east and southeast area of Asia. Treatments for locally advanced and recurrent NPC include chemotherapy (usually combined with 5-Fluorouracil, 5-FU) and radiotherapy, but response is limited due to chemo-resistance. p53 mutation is a critical factor for 5-FU resistance in some cancers, but its role in NPC chemo-resistance remains unclear. Here, we demonstrate that p53(R280T), a common p53 somatic mutation found in multiple NPC tumor samples, induces gain-of-function upregulation of DNA repair genes which leads to 5-FU resistance in NPC. p53(R280T) specifically upregulates the expression of DNA …

Generational Health Professional Perceptions About Artificial Intelligence Impact On Clinical Work, Karima Lalani, Kerryn Butler-Henderson, David T Marc, Susan H Fenton

Faculty, Staff and Student Publications

Whilst the evidence-base related to artificial intelligence (AI) has been growing in relation to its use and impact on healthcare, there is a lack of evidence related to the health workforce impact and no research examining the generational perceptions in relation to the health workforce and AI. This paper presents the results of a survey, which found generational differences in perceptions about the impact of AI on clinical jobs. Gen Z and Millennials were more likely to agree with statements that AI will improve their clinical decision-making skills/abilities, accomplish clinical tasks more quickly, and cause unemployment in their professional occupation. …

Enhancing Digital Health Development Through Speech Act Theory: Application To Peripartum Depression Management, Alexandra Zingg, Tavleen Singh, Michael Truong, Sahiti Myneni

Faculty, Staff and Student Publications

The peripartum period is a time of complex transition into motherhood when women may develop peripartum depression (PPD). Digital information sources can help prevent and monitor symptoms through social support and mental health knowledge. However, few studies have characterized the content and form of peer interactions in PPD online forums to inform interventions. In this paper, we present preliminary work using a dataset of 55,301 interactions to inform our digital health development. We combine manual coding for speech acts, behavioral theory mapping, and user engagement modeling to conceptualize dynamic digital education modules for PPD. Results reveal "Expressive" speech act, where …

Towards Data-Driven Science Literacy: Extracting Psycholinguistic Markers In Vaping-Related Online Peer Interactions, Michael Truong, Ahmed Abdelhameed, Tavleen Singh, Kirk Roberts, Sahiti Myneni

Faculty, Staff and Student Publications

Social media debates on e-cigarettes raise public health concerns due to evolving evidence and conflicting guidelines. We analyzed 25,127 vaping-related comments to explore how users discuss vaping-related topics. Our analysis revealed 25 topics grouped into three parent topics: positive effects of vaping, negative effects of vaping, and vaping-related news & information. Significant differences were observed in psycholinguistic characteristics with high emotional exchanges as positive and negative effects of e-cigarettes are debated. Our results can inform interventions promoting science literacy and misinformation resistance.

Efficient Training Corpus Retrieval For Large Language Model Fine Tuning: A Case Study In Cancer., Avisha Das, Chiamaka Diala, Guocai Chen, Zhao Li, Rongbin Li, Omer Anjum, W Jim Zheng

Faculty, Staff and Student Publications

The objective is to create an automated knowledge extraction tool for cancer research that builds high-quality academic corpora for LLM fine-tuning while investigating its effectiveness in interleukin-6 and bladder cancer domains. To address the current gap in knowledge retrieval techniques for cancer research data collection, we propose KnowledgePipeline, a novel automated tool that incorporates diverse aspects of academic papers and metadata. Our tool integrates content, co-citations, and co-authorship networks to construct domain-specific academic corpora suitable for fine-tuning LLMs. We leverage two LLMs (GPTJ-6.7B and Galactica30B) trained on domain-specific question-answer pairs from the refined data. The system's evaluation focuses on both …

Frontline Acalabrutinib, Lenalidomide And Rituximab For Advanced Stage Follicular Lymphoma With High Tumor Burden: Phase Ii Trial, Paolo Strati, Lei Feng, Jason R Westin, Ranjit Nair, Luis E Fayad, Maria A Rodriguez, Dai Chihara, Luis Malpica, Jared Henderson, Mariana Gallardo, Marissa Rivera, Iris Wang, Anastasiia Bolshakova, Anastasia Radko, David Kurtz, Stefan K Alig, Christopher R Flowers, Ash A Alizadeh, Sattva S Neelapu

Faculty, Staff and Student Publications

This phase II trial aims to determine the efficacy and safety of frontline acalabrutinib, lenalidomide and rituximab for patients with advanced stage follicular lymphoma (FL) and high tumor burden. The primary endpoint was best complete response (CR) rate; the secondary endpoints were overall response rate (ORR), duration of response measured as CR at 30 months (CR30), progression of disease at 24 months (POD24) rate, progression-free survival (PFS), overall survival and safety. Twenty-four patients with previously untreated FL were included in this phase 2 single arm study (NCT04404088). The most common grade 3-4 adverse events were neutropenia (58%) and …

Histologic And Immune Characterization Of Cutaneous Immune-Related Adverse Events Induced By Immune Checkpoint Inhibitors, Omar Pacha, Anisha B Patel, Jonathan L Curry, Cara L Haymaker, Nejla Ozirmak Lermi, Dzifa Yawa Duose, Ken Chen, Joud Hajjar, Aung Naing

Faculty, Staff and Student Publications

Background: Although immune checkpoint inhibitors (ICIs) are efficacious, they often cause immune-related adverse events (irAEs), most commonly cutaneous irAEs (CirAEs). The mechanisms underlying CirAEs remain unclear.

Methods: Attempting to better understand their mechanisms and histology we conducted a prospective study of 15 patients with advanced cancers treated with ICIs who developed grade 2 or higher CirAEs. Clinical and histologic characterization of biopsy specimens of CirAEs was performed. Histologic analysis of patient biopsy specimens were subdivided by epidermal reaction patterns that included spongiotic, lichenoid, and interface dermatitis patterns. A targeted RNA expression assay was used to identify immune markers in CirAE …

Immunomodulatory Effects Of Gold Nanoparticles: Impacts On Immune Cells And Mechanisms Of Action, Khadijeh Koushki, Prapannajeet Biswal, Geraldine Vidhya Vijay, Mahvash Sadeghi, Sajad Dehnavi, Ngoc Tuyet Tra, Sai Kumar Samala, Mahdieh Yousefi Taba, Arjun Balaji Vasan, Emily Han, Yuri Mackeyev, Sunil Krishnan

Faculty, Staff and Student Publications

Traditional anti-inflammatory medications-such as corticosteroids, biological agents, and non-steroidal anti-inflammatory drugs-are commonly employed to mitigate inflammation, despite their potential for debilitating side effects. There is a growing need for alternative next-generation therapies for symptomatic, unchecked, and/or detrimental inflammation with more favorable adverse effect profiles. The long history of use of gold salts as anti-inflammatory agents and the more recent exploration of gold nanoparticle (AuNP) formulations for clinical indications suggest that the targeted delivery of nanoparticles to inflammatory sites may be a promising approach worth investigating. Coupled with peptides that specifically target immune cells, AuNPs could potently counteract inflammation. Here, we …

Exploring Factors Affecting The Adoption And Use Of Digital Health Technologies Among Older Adults With Cancer: A Qualitative Study, Misun Hwang, Youmin Cho, Katie Gahn, Heidi Mason, Milisa Manojlovich, Yang Gong, Yun Jiang

Faculty, Staff and Student Publications

Purpose: Although digital health technologies (DHTs) are promising to improve health outcomes in older adults with cancer, the low adoption and limited use remain significant gaps in their effective digital health care. Little is known about their concerns about adopting and using DHTs in routine life, particularly in the continued use phase. This study aims to explore factors affecting the initial adoption and continued use of DHTs among older adults with cancer.

Methods: A secondary analysis of qualitative data was conducted based on interviews with 21 older adults (≥ 65 years) with breast, prostate, lung, or colorectal cancer. The transcripts …

Racial And Ethnic Disparities In Receipt Of Guideline-Concordant Pancreatic Cancer Care Among Older Adults In The United States, Joshua Herb, Kai-Ping Liao, John K Lin, Kever A Lewis, Sharon H Giordano, Matthew H G Katz, Rebecca A Snyder

Faculty, Staff and Student Publications

Purpose: Patients racialized as Black experience a higher mortality from pancreatic cancer (PC). Worse survival outcomes may relate to differences in delivered treatment. This study examined differences in receipt of guideline-concordant care (GCC) among older adults with PC according to race and ethnicity.

Methods: Patients 65 years and older with incident PC racialized as non-Hispanic White (NH-White) or racialized as NH-Black or of Hispanic ethnicity were identified in the SEER-Medicare database from 2004 to 2019. The primary outcome was receipt of stage-specific GCC. Multivariable logistic regression identified factors associated with GCC. Oaxaca-Blinder decomposition examined the contribution of measured and unmeasured …

Information Theory Optimization Of Signals From Small-Angle Scattering Measurements, Robert P Rambo, John A Tainer

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Small-angle X-ray scattering (SAXS) of particles in solution informs on the conformational states and assemblies of biological macromolecules (bioSAXS) outside of cryo- and solid-state conditions. In bioSAXS, the SAXS measurement under dilute conditions is resolution limited, and through an inverse Fourier transform, the measured SAXS intensities directly relate to the physical space occupied by the particles via the P(r)-distribution. Yet, this inverse transform of SAXS data has been historically cast as an ill-posed, ill-conditioned problem requiring an indirect approach. Here, we show that through the applications of matrix and information theories, the inverse transform of SAXS intensity data is a …

Phase 2 Study Of Zilovertamab Vedotin In Participants With Metastatic Solid Tumors, Funda Meric-Bernstam, Martin Gutierrez, Enrique Sanz-Garcia, Diego Villa, Jun Zhang, Jennifer Friedmann, Fengting Yan, Mark A Socinski, John Sarantopoulos, Luis E Raez, Quincy S Chu, Maxime Chénard-Poirier, Manash Chatterjee, Hong Ren, Qi Liu, Douglas A Levine, Komal L Jhaveri

Faculty, Staff and Student Publications

Purpose: Zilovertamab vedotin, an antibody‒drug conjugate targeting receptor tyrosine kinase‒like orphan receptor 1 (ROR1), had manageable safety and promising antitumor activity in participants with relapsed or refractory non-Hodgkin lymphomas. We evaluated zilovertamab vedotin in participants with previously-treated metastatic solid tumors.

Methods: This phase 2, open-label, nonrandomized study (NCT04504916) enrolled participants with metastatic triple-negative breast cancer, hormone receptor‒positive (HR+) breast cancer, nonsquamous non‒small-cell lung cancer, platinum-resistant ovarian cancer, or pancreatic cancer. Participants received zilovertamab vedotin ≤2.5 mg/kg once every 3 weeks (Q1/3W) or < 1.75 mg/kg twice every 3 weeks (Q2/3W). Primary endpoint was objective response rate (ORR) per RECIST v1.1 by blinded independent central review. ROR1 protein expression was correlated with clinical outcomes.

Results: 102 participants were enrolled (Q1/3W, n=70; Q2/3W, n=32). ORR was 1% (95% CI, 0%‒8%) with …

The Neurosurgeon's Role In The Brain Economy: How Strategic Investment In Neurosurgical Care And Innovation Will Improve Global Outcomes, Daniela A Perez-Chadid, Riya M Dange, Harris A Eyre, Graham Fieggen, Kerry A Vaughan, Sameer A Sheth, Jafri Malin Abdullah, Bello B Shehu, Daniel Donoho, Samuel Browd, Agustin Ibanez, Saksham Gupta, Frederick Lang, Anil Nanda, Gail Rosseau

Faculty, Staff and Student Publications

No abstract provided.

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 …

Gated Recurrent Unit With Decay Has Real-Time Capability For Postoperative Ileus Surveillance And Offers Cross-Hospital Transferability, Xiaoyang Ruan, Sunyang Fu, Heling Jia, Kellie L Mathis, Cornelius A Thiels, Schaeferle M Gavin, Patrick M Wilson, Curtis B Storlie, Hongfang Liu

Faculty, Staff and Student Publications

Background: Ileus, a postoperative complication after colorectal surgery, increases morbidity, costs, and hospital stays. Assessing risk of ileus is crucial, especially with the trend towards early discharge. Prior studies assessed risk of ileus with regression models, the role of deep learning remains unexplored.

Methods: We evaluated the Gated Recurrent Unit with Decay (GRU-D) for real-time ileus risk assessment in 7349 colorectal surgeries across three Mayo Clinic sites with two Electronic Health Record (EHR) systems. The results were compared with atemporal models on a panel of benchmark metrics.

Results: Here we show that despite extreme data sparsity (e.g., 72.2% of labs, …

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 …

Car-Macrophage Cell Therapy: A New Era Of Hope For Pancreatic Cancer, Daoyan Wei, Liang Wang, Yi Liu, Xiangsheng Zuo, Xiling Shen, Robert S Bresalier

Faculty, Staff and Student Publications

Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest malignancies, characterized by late diagnosis, early metastasis, and resistance to conventional therapies. A major barrier to effective treatment is its desmoplastic and immunosuppressive tumor microenvironment (TME), which restricts T cell infiltration and dampens responses to immune checkpoint inhibitors (ICIs). These features highlight the urgent need for innovative immunotherapeutic strategies capable of overcoming PDAC's immunologic and physical barriers. Chimeric antigen receptor (CAR)-macrophage (CAR-M) therapy has emerged as a promising approach to address these challenges. Unlike CAR-T or CAR-NK cells, CAR-Ms can efficiently infiltrate tumors, remodel the TME, phagocytose tumor cells, and stimulate …

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. …

Partial Cystectomy For Muscle-Invasive Bladder Cancer, Peter S Palencia, Nethusan Sivanesan, Syed Rahman, Fady Ghali, David Hesse, John Colberg, Ashwin Sridhar, John D Kelly, Byron H Lee, Ashish M Kamat, Wei-Shen Tan

Faculty, Staff and Student Publications

Partial cystectomy is a surgical bladder-sparing option for selected patients with muscle-invasive bladder cancer (MIBC), urachal adenocarcinoma and diverticular bladder tumors. Partial cystectomy hold several advantages. It allows for definite pathology and accurate staging while avoiding side effects from radiation therapy and preserves the option for salvage radical therapy (radical cystectomy or radical radiotherapy). Patients should have a CT urogram, prostatic urethral biopsy and mapping biopsies or blue light cystoscopy to rule out multifocal disease or CIS. Small solitary MIBC patients without carcinoma in situ in an area of the bladder where resection can be performed with negative margin would …

Bcl-2/Bcl-Xl Dual Inhibition Triggers Gasdermin D-Mediated Pyroptosis In Mantle Cell Lymphoma, Yijing Li, Joseph Mcintosh, Vivian Jiang, Fangfang Yan, Jovanny Vargas, Yuxuan Che, Wei Wang, Ching-Fei Li, Yue Fei, Celeste Lee, Lei Nie, Yixin Yao, Michael Wang, Heng-Huan Lee, Yang Liu

Faculty, Staff and Student Publications

No abstract provided.

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 …

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 …