Biomedical Informatics Commons^™

Isatuximab Plus Bortezomib, Lenalidomide, And Dexamethasone For Transplant-Ineligible Newly Diagnosed Multiple Myeloma Patients: A Frailty Subgroup Analysis Of The Imroz Trial, Salomon Manier, Meletios-Athanasios Dimopoulos, Xavier P Leleu, Philippe Moreau, Michele Cavo, Hartmut Goldschmidt, Robert Z Orlowski, Muriel Tron, Christina Tekle, Marie-France Brégeault, Andrea T Shafer, Meral Beksac, Thierry Facon

Faculty, Staff and Student Publications

Patients with multiple myeloma (MM) meeting frailty criteria have worse outcomes than those identified as non-frail. Here, we present a post hoc subgroup analysis of IMROZ, a global, phase III, open-label study investigating isatuximab (Isa) with bortezomib, lenalidomide, and dexamethasone (VRd) followed by Isa-Rd (N=265) versus VRd followed by Rd (N=181) in newly diagnosed transplant-ineligible MM (Ti NDMM) patients using the simplified International Myeloma Working Group (sIMWG) frailty score. Although patients aged >80 years were excluded, there was no exclusion for patients meeting frailty criteria. All patients received standard VRd/Rd dosing; Isa-VRd patients received intravenous Isa (cycle 1, 10 mg/kg …

Systematic Literature Review Of Intravenous Versus Subcutaneous Administration Of Oncology Therapies: A Clinical, Economic And Patient Perspective, Saby George, Maria T Bourlon, Michael J Overman, Matt Dixon, Karishma Shelley, Kristen J Markus, Rachel M Kewley, Sophie I Pope, Laurence Albigès

Faculty, Staff and Student Publications

Subcutaneous (SC) formulations of oncology therapies offer a potentially less time-consuming and more convenient alternative to intravenous (IV) administration. However, exploring the potential benefits of SC over IV administration from a broader perspective is necessary to understand the larger-scale impact. In this systematic literature review (SLR), we evaluated the efficacy, pharmacokinetics/pharmacodynamics (PK/PD), safety, and patient and healthcare provider (HCP) preference for SC/IV oncology therapies, along with differences in patient outcomes, costs, and time requirements. The SLR was conducted in January 2019 and updated in May 2023, and included 169 publications. Studies providing comparative results between IV and SC formulations regarding …

Peripartum Depression Pharmacotherapies Targeting Gaba-Glutamate Neurotransmission, Alan C Courtes, Louisa Smitherman, Lokesh Shahani, Jair C Soares, Laura Goetzl, Rodrigo Machado-Vieira

Faculty, Staff and Student Publications

Peripartum depression (PPD) represents a significant public health concern, affecting 10-17% of women globally. Traditional monoaminergic treatments demonstrate limited efficacy and delayed onset of action. The glutamate-GABA imbalance hypothesis provides a novel theoretical framework for understanding depression pathophysiology and developing targeted therapeutic interventions. This review examines emerging pharmacotherapeutic approaches targeting glutamatergic and GABAergic neurotransmitter systems for PPD treatment. Search criteria targeted randomized clinical trials investigating GABA-A-positive allosteric modulators (brexanolone, zuranolone, and ganaxolone) and NMDA receptor antagonists (ketamine and esketamine) in PPD patients. Brexanolone was the first neurosteroid to receive FDA approval for PPD, while zuranolone also shows promise. Ketamine and …

Comparative Pathology Boards Facilitate The Translation Of Knowledge Between Canine And Human Cancer Patients, Jessica A Beck, Christina Mazcko, Sara Belluco, Mireille Bitar, Daniel Brat, Jonathan W Bush, Rati Chkheidze, Kara N Corps, Chad Frank, Caterina Giannini, Craig Horbinski, Jason T Huse, Jennifer W Koehler, Andrew D Miller, C Ryan Miller, M Gerard O'Sullivan, Joanna J Phillips, Daniel R Rissi, Courtney R Schott, Anat Stemmer-Rachamimov, Stephen Yip, Amy K Leblanc

Faculty, Staff and Student Publications

Comparative pathology boards bring together anatomic pathologists with expertise in canine and human histology to identify shared features, including immune or TME components, tumor subtypes, or prognostic tissue biomarkers. This article summarizes feedback to improve future initiatives and enhance the translational relevance of comparative oncology for human patients.

Exploring Boundaries With Food, Substances, And People In Substance Use Recovery: A Qualitative Analysis, Tiffany Champagne-Langabeer, Audrey Sarah Cohen, Kriti Shrestha, Jie Zhu, Audrey Lopez, Alisha Campbell, Christine Bakos-Block

Faculty, Staff and Student Publications

Background: In the United States, over 47 million youth and adults live with a substance use disorder (SUD). These individuals are frequently malnourished and have metabolic dysregulation as a result. Nutrition interventions incorporating a mindfulness-based approach help recovery efforts that are physical and mental.

Objective: The objective of this study was to explore and analyze the perspectives and experiences of individuals with SUD regarding emotional regulation and nutrition. The study used a mixed methods approach to generate insights for improving recovery support and developing future interventions.

Design: In 2024, an exploratory mixed methods study was conducted based on a large …

Implementation Of Screening And Assessment Tools For Diagnosing Opioid Use Disorder: A Systematic Review, Audrey Lopez, Audrey Sarah Cohen, Francine Vega, Tiffany Champagne-Langabeer

Faculty, Staff and Student Publications

Introduction: As the prevalence of opioid use disorder (OUD) continues to rise, early detection by medical professionals can often be the first step in linking individuals to treatment. This systematic review was designed to identify implemented OUD screening and assessment tools with studies published from January 2019 through June 2024, uncover common themes associated with implementation, and determine if these tools were recommended in clinical practice.

Methods: A systematic literature search was conducted within PubMed, EMBASE, and Web of Science using the keywords 'opioid use disorder,' 'documentation,' and 'screening assessment tool.' Three investigators independently reviewed titles, abstracts, and full-text articles …

Predicting Clinical Success Of Ct-Based Functional Drained Liver Volume Assessment In Malignant Biliary Obstruction, Ethan Y Lin, Bruno C Odisio, Koustav Pal, Iwan Paolucci, Ryan P Kempen, Nicolas Cardenas, Paige Reed, Ketan Y Shah, Ahmed Awad, Rahul A Sheth, David Fuentes, Alda Tam

Faculty, Staff and Student Publications

Purpose

To compare the predictive accuracy of subjective versus objective assessment of three-dimensional functional drained liver volume (fDLV) for clinical success after percutaneous transhepatic biliary drainage (PTBD).

Materials and Methods

This retrospective study included patients with malignant biliary obstruction and hyperbilirubinemia who underwent de novo PTBD between January 2016 and February 2017. Clinical success was defined as achieving total bilirubin level less than 1.8 mg/dL (30.8 μmol/L) within 30 days after PTBD. Seven interventional radiologists independently categorized subjective fDLV into four groups: less than 30%, 30%–50%, 51%–75%, and greater than 75% of the total liver volume. Objective fDLV was calculated …

Designing An Electronic Patient-Reported Outcomes Information Infrastructure Supported By The Re-Aim Implementation Framework, Amy C Moreno, Angela Peek, Toshiko S Stein, Kevin R Shook, Sara M Ali, Laia Humbert-Vidan, Aileen Chen, Miriam Lango, Anna Lee, Michael Spiotto, William H Morrison, Adam S Garden, Jack Phan, Steven J Frank, Katherine Hutcheson, David I Rosenthal, Clifton D Fuller, G Brandon Gunn

Faculty, Staff and Student Publications

Objective: Patient-reported outcomes (PROs) contain valuable information that can be leveraged by providers to perform timely interventions and improve quality of life and survival. However, the implementation of electronic PROs (ePROs) remains a challenge from technical and evaluation perspectives. Our objective was to construct a robust electronic health record (EHR)-integrated ePRO information infrastructure founded on RE-AIM (reach-effectiveness-adoption-implementation-maintenance) principles.

Materials and methods: We used Epic Systems as our EHR platform to build the MD Anderson Symptom Index Head and Neck Module (MDASI-HN) for release to all patients undergoing evaluation and/or treatment in our HN Radiation Oncology clinics. RE-AIM metrics were established …

Using Extension-Based Mrna Display To Design Antibody-Like Proteinogenic Peptides For Human Pd-L1, Justin N Ong, Brian J Grindel, Scott A Rankin, Sarah H Naylon, Anupallavi Srinivasamani, Guillaume J Trusz, Xiaowen Liang, Md Nasir Uddin, Lauren Fuller, Michael Curran, Stephane P Roche, Terry T Takahashi, Richard W Roberts, Steven W Millward

Faculty, Staff and Student Publications

Many peptide drugs rely on nonproteinogenic amino acids and chemical modifications for improved activity and proteolytic stability. However, these features also make drug production expensive and challenging to scale. Here, we engineered small, linear, proteinogenic peptides that bind human programmed death-ligand 1 (hPD-L1) with high affinity and stability using mRNA display affinity maturation. The resulting peptides, SPAM2 and SPAM3, have antibody-like affinities for hPD-L1 (dissociation constants between ~250 and 300 pM) and are selective for hPD-L1. Both SPAM2 and SPAM3 compete with hPD-L1 ligands known to interact with the programmed cell death protein 1 site and are stable in human …

Mechanisms Underlying Treatment-Resistant Depression: Exploring Sex-Based Biological Differences, Francisco E R Da Silva, Atakan Yucel, Antonio P M Menezes, Ana C Ruiz, Marcela C Carbajal Tamez, Tatiana Barichello, Giselli Scaini, Joao Quevedo

Faculty, Staff and Student Publications

Treatment-resistant depression (TRD) represents a severe and complex subtype of major depressive disorder (MDD), affecting approximately 30% of patients who fail to respond adequately to multiple standard antidepressant therapies. While the pathophysiology of TRD remains incompletely understood, emerging evidence suggests that sex-based biological differences might influence its onset, progression, and treatment response. Women are disproportionately affected by depression and are more likely to experience residual symptoms and treatment resistance, potentially due to hormonal fluctuations, immune system differences, and variations in brain circuitry and neuroplasticity. This narrative explores the current literature on the mechanisms underlying TRD, with a particular emphasis on …

Risk Of Second Primary Lung Cancer Among Cancer Survivors Stratified By The Site Of First Primary Cancer And The Lung Cancer Screening Eligibility Status, Sara Nofal, Edwin J Ostrin, Jianjun Zhang, Jia Wu, Paul Scheet, Mara B Antonoff, John V Heymach, Iakovos Toumazis

Faculty, Staff and Student Publications

Personal history of cancer is an independent risk factor for developing lung cancer. However, it is not considered in the current US lung cancer screening (LCS) guidelines. In this study, we assessed the risk of developing lung cancer among cancer survivors across 24 different sites of first primary cancer stratified by their LCS eligibility status. Using data from the Patient History Database at the University of Texas MD Anderson Cancer Center, we calculated and compared the cumulative incidence of second primary lung cancer, the overall and the LCS eligibility status-specific, stratified by the site of first primary cancer among cancer …

Correction: Imaging In Pelvic Exenteration-A Multidisciplinary Practice Guide From The Esgar-Sar-Esur-Pelvex Collaborative Group, Stephanie Nougaret, Doenja M J Lambregts, Geerard L Beets, Regina G H Beets-Tan, Lennart Blomqvist, David Burling, Quentin Denost, Maria A Gambacorta, Benedetta Gui, Ann Klopp, Yulia Lakhman, Kate E Maturen, Riccardo Manfredi, Iva Petkovska, Luca Russo, Atul B Shinagare, James A Stephenson, Damian Tolan, Aradhana M Venkatesan, Aaron J Quyn, Rosemarie Forstner

Faculty, Staff and Student Publications

No abstract provided.

Spatial Colocalization And Molecular Crosstalk Of Myofibroblastic Cafs And Tumor Cells Shape Lymph Node Metastasis In Oral Squamous Cell Carcinoma, Ken Furudate, Shuya Kasai, Tadashi Yoshizawa, Yuya Sasaki, Kohei Fujikura, Shintaro Goto, Ryohei Ito, Koki Takagi, Tomoyuki Tanaka, Hiroshi Kijima, Kosei Kubota, Ken Itoh, Wataru Kobayashi, Koichi Takahashi

Faculty, Staff and Student Publications

Lymph node metastasis (LNM) is a critical prognostic factor for patients with oral squamous cell carcinoma (OSCC). Previous research has implicated the partial epithelial-to-mesenchymal transition of tumor cells and myofibroblastic cancer-associated fibroblasts (myCAFs) in the LNM process. However, the underlying molecular mechanisms remain poorly understood. Here, we conducted a comprehensive molecular analysis integrating original and publicly available OSCC data from bulk genome and transcriptome, single-cell transcriptome, and spatial transcriptome analyses. We found that myCAFs were quantitatively and functionally activated in LNM-positive samples and spatially colocalized with OSCC cells within the invasive tumor front (ITF), providing a niche that may facilitate …

Dna Methylation Cooperates With Genomic Alterations During Non-Small Cell Lung Cancer Evolution, Francisco Gimeno-Valiente, Carla Castignani, Elizabeth Larose Cadieux, Nana E Mensah, Xiaohong Liu, Kezhong Chen, Olga Chervova, Takahiro Karasaki, Clare E Weeden, Corentin Richard, Siqi Lai, Carlos Martínez-Ruiz, Emilia L Lim, Alexander M Frankell, Thomas B K Watkins, Georgia Stavrou, Ieva Usaite, Wei-Ting Lu, Daniele Marinelli, Sadegh Saghafinia, Gareth A Wilson, Pawan Dhami, Heli Vaikkinen, Jonathan Steif, Selvaraju Veeriah, Robert E Hynds, Martin Hirst, Crispin Hiley, Andrew Feber, Özgen Deniz, Mariam Jamal-Hanjani, Nicholas Mcgranahan, Tracerx Consortium, Stephan Beck, Jonas Demeulemeester, Miljana Tanić, Charles Swanton, Peter Van Loo, Nnennaya Kanu

Faculty, Staff and Student Publications

Aberrant DNA methylation has been described in nearly all human cancers, yet its interplay with genomic alterations during tumor evolution is poorly understood. To explore this, we performed reduced representation bisulfite sequencing on 217 tumor and matched normal regions from 59 patients with non-small cell lung cancer from the TRACERx study to deconvolve tumor methylation. We developed two metrics for integrative evolutionary analysis with DNA and RNA sequencing data. Intratumoral methylation distance quantifies intratumor DNA methylation heterogeneity. MR/MN classifies genes based on the rate of hypermethylation at regulatory (MR) versus nonregulatory (MN) CpGs to identify driver genes exhibiting recurrent functional …

In Situ Programming Of The Tumor Microenvironment To Alleviate Immunosuppression For Pancreatic Cancer Immunotherapy, Man Sun, Huan Zhang, Yarui Ma, Simiao Wang, Jiayi Chen, Yaxin Cui, Yun Zhang, Siyuan Hu, Dan Zhou, Pengchen Zhang, Yahui Liu, Betty Y S Kim, Wen Jiang, Xiaobing Wang, Zhaogang Yang

Faculty, Staff and Student Publications

Recent studies have highlighted the pivotal role of the cGAS‐STING pathway in cancer immunotherapy. However, clinical trials with cGAS‐STING pathway agonists have faced setbacks thanks to their short biological half‐life, lack of tumor specificity, and potential to promote tumor immune evasion. To address these challenges, a novel exosome‐based drug delivery platform, termed cmExoaCD11b is developed, designed to precisely target and reprogram the tumor microenvironment (TME) in situ for pancreatic cancer immunotherapy. cmExoaCD11b is engineered to encapsulate high copy numbers of IL‐12 mRNA and 2′3’‐cGAMP (cGAMP) and is functionalized with CD11b antibodies for targeted delivery to macrophages. Notably, cmExoaCD11b facilitated the …

Sex Disparities In Chlamydia And Gonorrhea Treatment In Us Adult Emergency Departments: A Systematic Review And Meta-Analysis, Rachel E Solnick, Rahi Patel, Ethan Chang, Carmen Vargas-Torres, Maaz Munawar, Carlin Pendell, Judith E Smith, Ethan Cowan, Keith E Kocher, Roland C Merchant

Faculty, Staff and Student Publications

BACKGROUND: Empiric antibiotic treatment for gonorrhea (GC) and chlamydia (CT) is common in U.S. emergency departments (EDs) due to the delayed availability of test results. Local studies have identified sex-based disparities in sexually transmitted infection (STI) care, with females potentially receiving less empiric treatment than males. This study evaluates how STI treatment aligns with laboratory-confirmed results to quantify potential overtreatment and undertreatment rates and investigates sex differences for these outcomes.

METHODS: We conducted a preregistered (PROSPERO #241429) systematic review and meta-analysis of studies published between January 2010 and January 2025 in U.S. EDs, excluding studies conducted exclusively in pediatric settings. …

Time-Frequency Fingerprint Analysis In Seeg Source-Space To Identify The Epileptogenic Zone, Yash Shashank Vakilna, Deniz Atilgan, Johnson Hampson, Chinmay Chinara, Takfarinas Medani, Richard M Leahy, Nuria Lacuey, Samden D Lhatoo, Sandipan Pati, John C Mosher, Jay R Gavvala

Faculty, Staff and Student Publications

This case study highlights the application of seizure fingerprint analysis in the source-space of stereo-EEG (SEEG) data to accurately localize the epileptogenic zone (EZ) in patients with complex cortical malformations. A 25-year-old female with extensive bilateral perisylvian polymicrogyria (PMG) presented with intractable focal seizures. The source-level analysis performed in Brainstorm using the sLORETA imaging algorithm subsequently showed EZ fingerprint analysis. The patient underwent MR-guided laser interstitial thermal therapy (LITT), targeting the identified EZ, resulting in postoperative seizure freedom with minimal complications. Extending the analysis from the sensor-space to the source-space could further enhance surgical planning and improve outcomes in complex …

Heightened Risk: Childhood Trauma And Anticipatory Grief Exacerbate The Impact Of Loneliness On Depressive Symptoms And Lps-Stimulated Cytokines In Dementia Caregivers, Kelly N Brice, Jensine Paoletti-Hatcher, E Lydia Wu-Chung, Vincent D Lai, Daniel L Argueta, Michelle A Chen, Itee Mahant, Bryan T Denny, Charles Green, Luis D Medina, Paul Schulz, Jennifer Stinson, Samantha K Henry, Cobi Heijnen, Christopher P Fagundes

Faculty, Staff and Student Publications

Dementia spousal caregivers are at a disproportionate risk for adverse mental and physical health outcomes. Loneliness is associated with depressive symptoms and proinflammatory cytokine production among caregivers. Additionally, childhood trauma, anticipatory grief, and poor sleep quality are all associated with enhanced stress reactivity. This study used a cross-sectional design to investigate whether loneliness is associated with proinflammatory cytokine production and depressive symptoms in caregivers, and whether these relationships are strongest among caregivers who report high levels of childhood trauma, high amounts of anticipatory grief, or poor sleep quality. A sample of 111 dementia spousal caregivers provided blood samples and completed …

From Imaging To Impact: A Multi-Disciplinary T32 Program Framework And Initial Insights For Training In Image-Guided Cancer Therapy, Kari J Brewer Savannah, Stephen Y Lai, Clifton D Fuller, Kristy K Brock

Faculty, Staff and Student Publications

As multi-disciplinary image-guided assessment and therapies become increasingly important for precision oncology, the need for comprehensive training opportunities that effectively prepare the next generation of clinician-scientists and scientists is evident. We present an innovative, evidence-based research training framework that integrates the following critical features: 1) intentional and personalized mentoring and career development, 2) immersive research in image-guided cancer therapy, 3) strategic mentored clinical exposure, 4) structured didactic learning and professional development opportunities, and 5) mentored grant writing. Designed to foster scientific rigor, translational thinking, and multi-disciplinary collaboration, the Image-Guided Cancer Therapy T32 Training Program (IGCT-T32) aims to prepare postdoctoral fellows …

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

Faculty, Staff and Student Publications

No abstract provided.

Optical Coherence Tomography Enables The Depth-Resolved Measurement Of Cilia Beat Frequency In Ex Vivo Human Fallopian Tubes, Dilara J Long, Tian Xia, Photini F Rice, Deirdre M Scully, Makayla Johnson, Ryan Mistifer, Andrea Aguirre, John M Heusinkveld, Irina V Larina, Jennifer K Barton

Faculty, Staff and Students Publications

Objectives: The movement of cilia in the fallopian tubes (FTs) facilitates important processes involved in fertility, and abnormalities in cilia function are linked with diseases including endometriosis and pelvic inflammatory disease. For the first time, we demonstrate the use of optical coherence tomography (OCT) to create depth-resolved mapping of motile cilia locations and quantify cilia beat frequency (CBF) in human FT samples ex vivo.

Methods: Segments of the FT ampulla were acquired from five patients following salpingectomy under an IRB approved protocol. The samples were longitudinally opened to expose the luminal surface for imaging. A sequence of at least 500 …

Focal Adhesion Kinase Drives Rho/Rock And Mtor Signaling To Protect And Augment Aortic Dissections, Zhen Zhou, Pujun Guan, Ripon Sarkar, Yang Yu, Alexis Richard, Dar Weiss, Yuki Kawamura, Chen Zhang, Yanming Li, Tomas Vaisar, Daniel R Martin, L Maximillian Buja, Zhouxuan Li, Kartik Venkatachalam, Ying H Shen, Scott A Lemaire, Jay D Humphrey, Dianna M Milewicz

Faculty, Staff and Students Publications

Dysfunctional mechanosensing via focal adhesions (FAs) significantly contributes to thoracic aortic dissection in the β-aminopropionitrile mouse model by triggering FA kinase activation and subsequent Rho/ROCK and mTOR signaling pathways. The present findings indicate that these signaling pathways play distinct roles in ascending vs descending dissections. Specifically, in the ascending aorta, smooth muscle cell FA kinase-Rho/ROCK signaling acts as a beneficial adaptive mechanism to prevent dissections, whereas mTOR signaling is pathogenic and contributes to dissections.

A Divergent Cyclic Nucleotide Binding Protein Promotes Plasmodium Ookinete Infection Of The Mosquito, Dominika Kwecka, Zhishuo Wang, Edvardas Eigminas, Lijia Liu, Jennifer C Regan, Choel Kim, Nisha Philip

Faculty, Staff and Students Publications

Colonisation of mosquitos by the malarial parasite is critically reliant on the invasive ookinete stage. Ookinete invasion of mosquito is coordinated by the apical complex, a specialised parasite structure containing components for secretion, attachment and penetration. While studies have investigated cytoskeletal and secretory elements, it is currently unknown if signalling modules are present or functional at the apical complex. Here we elucidate the role of a cryptic cyclic nucleotide-binding protein which we name CBP-O. PbCBP-O showed a marked localisation to the ookinete apex and disruption of the protein severely compromised ookinete invasion of mosquitos. Domain dissection analysis revealed that the …

Fluid Assessment Scoring Tool (Fast): Development Of A Novel Fluid Assessment Scoring Tool For Critically Ill Pediatric Patients-A Pilot Study, Mohammed Salameh, Pranali Awadhare, Jennifer Joiner, Michael Scheurer, Utpal Bhalala

Faculty, Staff and Students Publications

Introduction: Monitoring fluid balance (FB) is important yet challenging in the pediatric intensive care unit (PICU). Currently used, conventional methods of fluid assessment are either not feasible or unreliable. Also, there is a lack of composite scores or clinical algorithms that use different parameters of fluid status. We aim to develop a fluid assessment scoring tool (FAST) to clinically assess the fluid status of children in the PICU.

Methods: In this pilot study, we included critically ill patients aged 0-21 years who presented to our PICU between December 2020 and March 2021 and required invasive or non-invasive mechanical ventilation, inotropes, …

Biomarkers For The Diagnosis Of Indeterminate Pulmonary Nodules: Are We There Yet?, Kevin C Mcgann, Timothy A Khalil, Michael N Kammer, Edwin J Ostrin, Harvey I Pass, Jun-Chieh James Tsay, Leopoldo N Segal, Melissa Potter, Stephen A Deppen, Fabien Maldonado, Eric L Grogan

Faculty, Staff and Student Publications

Indeterminate pulmonary nodules (IPNs), which are nodules that cannot be classified as definitively benign or malignant at the time of detection, are now diagnosed on the order of millions per year. Management of IPNs remains heavily debated, and routine practice ultimately involves some balance of overall clinical risk assessment and additional diagnostic tests or procedures which may generate significant risk, cost, and worry. Biomarkers are biologically based tests or indicators capable of accurately characterizing the physiologic properties of homeostasis and disease that are not otherwise easily evaluated by the clinician. Accurate biomarkers thereby serve as reliable surrogates for biological aberrancy, …

Expression Graph Network Framework For Biomarker Discovery, Yang Liu, Jason Huse, Kasthuri Kannan

Faculty, Staff and Student Publications

Biomarker discovery for complex diseases, such as cancer, hinges on uncovering molecular signatures that capture intricate, interconnected relationships within biological data-a challenge that traditional statistical and machine learning methods often fail to meet due to the complexity of high-dimensional gene expression profiles. To overcome this, we introduce the expression graph network framework (EGNF). This cutting-edge graph-based approach integrates graph neural networks with network-based feature engineering to enhance the predictive identification of biomarkers. EGNF constructs biologically informed networks by combining gene expression data and clinical attributes within a graph database, utilizing hierarchical clustering to generate dynamic, patient-specific representations of molecular interactions. …

Auprc: A Metric For Evaluating The Performance Of In-Silico Perturbation Methods In Identifying Differentially Expressed Genes, Hongxu Zhu, Amir Asiaee, Leila Azinfar, Jun Li, Han Liang, Ehsan Irajizad, Kim-Anh Do, James P Long

Faculty, Staff and Student Publications

In silico perturbation models, computational methods that can predict cellular responses to perturbations, present an opportunity to reduce the need for costly and time-intensive in vitro experiments. Many recently proposed models predict high-dimensional cellular responses, such as gene or protein expression to perturbations such as gene knockout or drugs. However, evaluating in silico performance has largely relied on metrics such as $R^{2}$, which assess overall prediction accuracy but fail to capture biologically significant outcomes like the identification of differentially expressed (DE) genes. In this study, we present a novel evaluation framework that introduces the AUPRC metric to assess the precision …

Braingenebot: A Framework For Variant Prioritization And Generative Pretrained Transformer-Informed Interpretation Across Polygenic Risk Score Studies, Gang Qu, Nitesh Enduru, Xinyi Liu, Xiaoqian Jiang, Zhongming Zhao

Faculty, Staff and Student Publications

Polygenic risk scores (PRS) are widely used to assess genetic susceptibility in Alzheimer's disease (AD) research. However, the rapid expansion of PRS studies has led to dataset-specific biases-stemming from factors like population makeup, genotyping methods, and analysis pipelines-that result in inconsistent variant prioritization and limit generalizability and reproducibility. To address these challenges, we propose a transductive learning framework that integrates multiple PRS datasets for more robust risk variant prioritization, incorporating genome-wide association study (GWAS) priority scores as biologically informed priors. Additionally, we introduce BrainGeneBot, an AI-driven tool leveraging generative pretrained transformers with retrieval-augmented generation technology to streamline genomic analyses in …

Cross-Platform Transcriptomic Data Integration Identifies An Overactive Neuro-Immune Signature In Human Osteoarthritis Synovium, Michael D Newton, Hannah Swahn, Dana E Orange, Joseph B Lesnak, Theodore J Price, Anne-Marie Malfait, Rachel E Miller, Martin K Lotz, Tristan Maerz

Faculty, Staff and Student Publications

Objective: Chronic synovitis is associated with osteoarthritis (OA) pain, but the molecular underpinnings remain unclear. Our objective was to characterize the transcriptional phenotype of OA synovium with a focus on signaling relevant to pain.

Design: Eight publicly-available microarray and RNA-sequencing GEO datasets from human non-OA and OA subjects underwent quality control and re-analysis for differentially-expressed genes (DEGs). Cross-platform statistical integration was performed via a weighted Z-test to combine detection power across datasets. Gene set enrichment, cell type enrichment, and regulon analyses were performed. Human single-cell RNA sequencing data was used to map gene expression to cell types. Ligand-receptor interactions were …

Deciphering Transcriptomic Changes In Chemobrain: A Comprehensive Review, Tusar Kanta Acharya, Yuan Pan, Peter M Grace, Cobi J Heijnen, Rajasekaran Mahalingam

Faculty, Staff and Student Publications

Chemotherapy-induced cognitive impairments (CICI), colloquially known as "chemobrain," represents a profound and debilitating side effect experienced by a significant number of cancer survivors, impacting their memory, multitasking, and quality of life. This review critically evaluates the molecular mechanisms underlying CICI, with a particular focus on the insights gained from transcriptomic analyses. As cancer incidence rises globally, understanding the complex interplay between chemotherapy agents and their cognitive repercussions becomes increasingly vital. Key mechanisms implicated in CICI include blood-brain barrier disruption, neuroinflammation, and oxidative stress as a result of various chemotherapy treatments, such as doxorubicin, cisplatin, and paclitaxel. We delve into advanced …