Biomedical Informatics Commons^™

A Distinct Pattern Of Growth And Rac1 Signaling In Melanoma Brain Metastasis Cells, Ioana Stejerean-Todoran, Phyllis A Gimotty, Andrea Watters, Patricia Brafford, Clemens Krepler, Tetiana Godok, Haiyin Li, Zuriñe Bonilla Del Rio, Anke Zieseniss, Dörthe M Katschinski, Sinem M Sertel, Silvio O Rizzoli, Bradley Garman, Katherine L Nathanson, Xiaowei Xu, Qing Chen, Jack H Oswald, Michal Lotem, Gordon B Mills, Michael A Davies, Michael P Schön, Ivan Bogeski, Meenhard Herlyn, Adina Vultur

Faculty, Staff and Student Publications

Background: Melanoma, the deadliest of skin cancers, has a high propensity to form brain metastases that are associated with a markedly worsened prognosis. In spite of recent therapeutic advances, melanoma brain lesions remain a clinical challenge, biomarkers predicting brain dissemination are not clear and differences with other metastatic sites are poorly understood.

Methods: We examined a genetically diverse panel of human-derived melanoma brain metastasis (MBM) and extracranial cell lines using targeted sequencing, a Reverse Phase Protein Array, protein expression analyses, and functional studies in vitro and in vivo.

Results: Brain-specific genetic alterations were not detected; however, MBM cells in vitro …

Mutation-Agnostic Detection Of Colorectal Cancer Using Liquid Biopsy-Based Methylation-Specific Signatures, Mohamed A Gouda, Dzifa Y Duose, Morten Lapin, Stephanie Zalles, Helen J Huang, Yuanxin Xi, Xiaofeng Zheng, Amira I Aldesoky, Alshimaa M Alhanafy, Mohamed A Shehata, Jing Wang, Scott Kopetz, Funda Meric-Bernstam, Ignacio I Wistuba, Rajyalakshmi Luthra, Filip Janku

Faculty, Staff and Student Publications

Detection of methylation patterns in circulating tumor DNA (ctDNA) can offer a novel approach for cancer diagnostics given the unique signature for each tumor type. We developed a next-generation sequencing (NGS)-based assay targeting 32 CpG sites to detect colorectal cancer-specific ctDNA. NGS was performed on bisulfite-converted libraries and status dichotomization was done using median methylation ratios at all targets. We included plasma samples from patients with metastatic colorectal (n = 20) and non-colorectal cancers (n = 8); and healthy volunteers (n = 4). Median methylation ratio was higher in colorectal cancer compared with non-colorectal cancers (P = .001) and normal …

An Expedited Strategy For Accurate And Timely Integrated Molecular Diagnosis Of Gliomas, Timothy A Gregory, Garret L Williford, Jacob M Maronge, Kristin Alfaro, Gregory N Fuller, John De Groot, Vinay K Puduvalli, Leomar Y Ballester, Nazanin K Majd

Faculty, Staff and Student Publications

No abstract provided.

Temporal Machine Learning Analysis Of Prior Mammograms For Breast Cancer Risk Prediction, Hui Li, Kayla Robinson, Li Lan, Natalie Baughan, Chun-Wai Chan, Matthew Embury, Gary J Whitman, Randa El-Zein, Isabelle Bedrosian, Maryellen L Giger

Faculty, Staff and Student Publications

The identification of women at risk for sporadic breast cancer remains a clinical challenge. We hypothesize that the temporal analysis of annual screening mammograms, using a long short-term memory (LSTM) network, could accurately identify women at risk of future breast cancer. Women with an imaging abnormality, which had been biopsy-confirmed to be cancer or benign, who also had antecedent imaging available were included in this case-control study. Sequences of antecedent mammograms were retrospectively collected under HIPAA-approved guidelines. Radiomic and deep-learning-based features were extracted on regions of interest placed posterior to the nipple in antecedent images. These features were input to …

Pattern Dynamics And Stochasticity Of The Brain Rhythms, Clarissa Hoffman, Jingheng Cheng, Daoyun Ji, Yuri Dabaghian

Faculty, Staff and Student Publications

Our current understanding of brain rhythms is based on quantifying their instantaneous or time-averaged characteristics. What remains unexplored is the actual structure of the waves-their shapes and patterns over finite timescales. Here, we study brain wave patterning in different physiological contexts using two independent approaches: The first is based on quantifying stochasticity relative to the underlying mean behavior, and the second assesses "orderliness" of the waves' features. The corresponding measures capture the waves' characteristics and abnormal behaviors, such as atypical periodicity or excessive clustering, and demonstrate coupling between the patterns' dynamics and the animal's location, speed, and acceleration. Specifically, we …

Il6 Mediates Suppression Of T- And Nk-Cell Function In Emt-Associated Tki-Resistant Egfr-Mutant Nsclc, Sonia A Patel, Monique B Nilsson, Yan Yang, Xiuning Le, Hai T Tran, Yasir Y Elamin, Xiaoxing Yu, Fahao Zhang, Alissa Poteete, Xiaoyang Ren, Li Shen, Jing Wang, Seyed Javad Moghaddam, Tina Cascone, Michael Curran, Don L Gibbons, John V Heymach

Faculty, Staff and Student Publications

Purpose: Patients with advanced non-small cell lung cancer (NSCLC) harboring activating EGFR mutations are initially responsive to tyrosine kinase inhibitors (TKI). However, therapeutic resistance eventually emerges, often via secondary EGFR mutations or EGFR-independent mechanisms such as epithelial-to-mesenchymal transition. Treatment options after EGFR-TKI resistance are limited as anti-PD-1/PD-L1 inhibitors typically display minimal benefit. Given that IL6 is associated with worse outcomes in patients with NSCLC, we investigate whether IL6 in part contributes to this immunosuppressed phenotype.

Experimental design: We utilized a syngeneic genetically engineered mouse model (GEMM) of EGFR-mutant NSCLC to investigate the effects of IL6 on the tumor microenvironment and …

Dna Damage Repair Kinase Dna-Pk And Cgas Synergize To Induce Cancer-Related Inflammation In Glioblastoma, Clara Taffoni, Johanna Marines, Hanane Chamma, Soumyabrata Guha, Mathilde Saccas, Amel Bouzid, Ana-Luiza Chaves Valadao, Clément Maghe, Jane Jardine, Mi Kyung Park, Katarzyna Polak, Mara De Martino, Claire Vanpouille-Box, Maguy Del Rio, Celine Gongora, Julie Gavard, Nicolas Bidère, Min Sup Song, Donovan Pineau, Jean-Philippe Hugnot, Karima Kissa, Laura Fontenille, Fabien P Blanchet, Isabelle K Vila, Nadine Laguette

Faculty, Staff and Student Publications

Cytosolic DNA promotes inflammatory responses upon detection by the cyclic GMP-AMP (cGAMP) synthase (cGAS). It has been suggested that cGAS downregulation is an immune escape strategy harnessed by tumor cells. Here, we used glioblastoma cells that show undetectable cGAS levels to address if alternative DNA detection pathways can promote pro-inflammatory signaling. We show that the DNA-PK DNA repair complex (i) drives cGAS-independent IRF3-mediated type I Interferon responses and (ii) that its catalytic activity is required for cGAS-dependent cGAMP production and optimal downstream signaling. We further show that the cooperation between DNA-PK and cGAS favors the expression of chemokines that promote …

Intratumoral Heterogeneity And Clonal Evolution Induced By Hpv Integration, Keiko Akagi, David E Symer, Medhat Mahmoud, Bo Jiang, Sara Goodwin, Darawalee Wangsa, Zhengke Li, Weihong Xiao, Joe Dan Dunn, Thomas Ried, Kevin R Coombes, Fritz J Sedlazeck, Maura L Gillison

Faculty, Staff and Student Publications

The human papillomavirus (HPV) genome is integrated into host DNA in most HPV-positive cancers, but the consequences for chromosomal integrity are unknown. Continuous long-read sequencing of oropharyngeal cancers and cancer cell lines identified a previously undescribed form of structural variation, "heterocateny," characterized by diverse, interrelated, and repetitive patterns of concatemerized virus and host DNA segments within a cancer. Unique breakpoints shared across structural variants facilitated stepwise reconstruction of their evolution from a common molecular ancestor. This analysis revealed that virus and virus-host concatemers are unstable and, upon insertion into and excision from chromosomes, facilitate capture, amplification, and recombination of host …

Dysregulation And Epigenetic Reprogramming Of Nrf2 Signaling Axis Promote Acquisition Of Cisplatin Resistance And Metastasis In Head And Neck Squamous Cell Carcinoma, Abdullah A Osman, Emre Arslan, Mason Bartels, Chieko Michikawa, Antje Lindemann, Katarzyna Tomczak, Wangjie Yu, Vlad Sandulache, Wencai Ma, Li Shen, Jing Wang, Anand K Singh, Mitchell J Frederick, Nakia D Spencer, Jeffery Kovacs, Timothy Heffernan, William F Symmans, Kunal Rai, Jeffrey N Myers

Faculty, Staff and Student Publications

PURPOSE: Cisplatin (CDDP)-based chemotherapy is a first-line treatment for patients with advanced head and neck squamous cell carcinomas (HNSCC), despite a high rate of treatment failures, acquired resistance, and subsequent aggressive behavior. The purpose of this study was to study the mechanism of CDDP resistance and metastasis in HNSCC. We investigated the role of NRF2 pathway activation as a driven event for tumor progression and metastasis of HNSCC.

EXPERIMENTAL DESIGN: Human HNSCC cell lines that are highly resistant to CDDP were generated. Clonogenic survival assays and a mouse model of oral cancer were used to examine the impact of NRF2 …

Longitudinal Global Transcriptomic Profiling Of Preclinical Systemic Sclerosis Reveals Molecular Changes Associated With Disease Progression, Chiara Bellocchi, Lorenzo Beretta, Xuan Wang, Marka A Lyons, Maurizio Marchini, Maurizio Lorini, Vincenzo Carbonelli, Nicola Montano, Shervin Assassi

Faculty, Staff and Student Publications

Objective: To investigate peripheral blood cell (PBCs) global gene expression profile of SSc at its preclinical stage (PreSSc) and to characterize the molecular changes associated with progression to a definite disease over time.

Material and methods: Clinical data and PBCs of 33 participants with PreSSc and 16 healthy controls (HCs) were collected at baseline and follow-up (mean 4.2 years). Global gene expression profiling was conducted by RNA sequencing and a modular analysis was performed.

Results: Comparison of baseline PreSSc to HCs revealed 2889 differentially expressed genes. Interferon signalling was the only activated pathway among top over-represented pathways. Moreover, 10 modules …

Increases In Group A Streptococcal Infections In The Pediatric Population In Houston, Tx, 2022, Aya Aboulhosn, Misu A Sanson, Luis Alberto Vega, Maria G Segura, Lauren M Summer, Marritta Joseph, J Chase Mcneil, Anthony R Flores

Faculty, Staff and Student Publications

Beginning in October 2022, we observed a substantial increase in the total number of cases of invasive GAS disease (iGAS) in the pediatric population in Houston, TX. Emm12 GAS strains were disproportionately represented but the overall proportion of iGAS infections observed during the current spike was similar to pre-pandemic years.

Inhibition Of Stat6 With Antisense Oligonucleotides Enhances The Systemic Antitumor Effects Of Radiotherapy And Anti-Pd-1 In Metastatic Non-Small Cell Lung Cancer, Kewen He, Hampartsoum B Barsoumian, Nahum Puebla-Osorio, Yun Hu, Duygu Sezen, Mark D Wasley, Genevieve Bertolet, Jie Zhang, Carola Leuschner, Liangpeng Yang, Claudia S Kettlun Leyton, Natalie Wall Fowlkes, Morgan Maureen Green, Lisa Hettrick, Dawei Chen, Fatemeh Masrorpour, Meidi Gu, Hadi Maazi, Alexey S Revenko, Maria Angelica Cortez, James W Welsh

Faculty, Staff and Student Publications

Diverse factors contribute to the limited clinical response to radiotherapy (RT) and immunotherapy in metastatic non-small cell lung cancer (NSCLC), among which is the ability of these tumors to recruit a retinue of suppressive immune cells-such as M2 tumor-associated macrophages (TAM)-thereby establishing an immunosuppressive tumor microenvironment that contributes to tumor progression and radio resistance. M2 TAMs are activated by the STAT6 signaling pathway. Therefore, we targeted STAT6 using an antisense oligonucleotide (ASO) along with hypofractionated RT (hRT; 3 fractions of 12 Gy each) to primary tumors in three bilateral murine NSCLC models (Lewis lung carcinoma, 344SQ-parental, and anti-PD-1-resistant 344SQ lung …

Lecanemab For Patients With Early Alzheimer Disease: Bayesian Analysis Of A Phase 2b Dose-Finding Randomized Clinical Trial, Donald A Berry, Shobha Dhadda, Michio Kanekiyo, David Li, Chad J Swanson, Michael Irizarry, Lynn D Kramer, Scott M Berry

Faculty, Staff and Student Publications

IMPORTANCE: Bayesian clinical trial designs are increasingly common; given their promotion by the US Food and Drug Administration, the future use of the bayesian approach will only continue to increase. Innovations possible when using the bayesian approach improve the efficiency of drug development and the accuracy of clinical trials, especially in the context of substantial data missingness.

OBJECTIVE: To explain the foundations, interpretations, and scientific justification of the bayesian approach in the setting of lecanemab trial 201, a bayesian-designed phase 2 dose-finding trial; to demonstrate the efficiency of using a bayesian design; and to show how it accommodates innovations in …

Independent Reproduction Of The Flash Effect On The Gastrointestinal Tract: A Multi-Institutional Comparative Study, Anet Valdés Zayas, Neeraj Kumari, Kevin Liu, Denae Neill, Abagail Delahoussaye, Patrik Gonçalves Jorge, Reiner Geyer, Steven H Lin, Claude Bailat, François Bochud, Raphael Moeckli, Albert C Koong, Jean Bourhis, Cullen M Taniguchi, Fernanda G Herrera, Emil Schüler

Faculty, Staff and Student Publications

FLASH radiation therapy (RT) is a promising new paradigm in radiation oncology. However, a major question that remains is the robustness and reproducibility of the FLASH effect when different irradiators are used on animals or patients with different genetic backgrounds, diets, and microbiomes, all of which can influence the effects of radiation on normal tissues. To address questions of rigor and reproducibility across different centers, we analyzed independent data sets from The University of Texas MD Anderson Cancer Center and from Lausanne University (CHUV). Both centers investigated acute effects after total abdominal irradiation to C57BL/6 animals delivered by the FLASH …

Concurrent Intrathecal And Intravenous Nivolumab In Leptomeningeal Disease: Phase 1 Trial Interim Results, Isabella C Glitza Oliva, Sherise D Ferguson, Roland Bassett, Alexandra P Foster, Ida John, Tarin D Hennegan, Michelle Rohlfs, Jessie Richard, Masood Iqbal, Tina Dett, Carol Lacey, Natalie Jackson, Theresa Rodgers, Suzanne Phillips, Sheila Duncan, Lauren Haydu, Ruitao Lin, Rodabe N Amaria, Michael K Wong, Adi Diab, Cassian Yee, Sapna P Patel, Jennifer L Mcquade, Grant M Fischer, Ian E Mccutcheon, Barbara J O'Brien, Sudhakar Tummala, Matthew Debnam, Nandita Guha-Thakurta, Jennifer A Wargo, Fernando C L Carapeto, Courtney W Hudgens, Jason T Huse, Michael T Tetzlaff, Elizabeth M Burton, Hussein A Tawbi, Michael A Davies

Faculty, Staff and Student Publications

There is a critical need for effective treatments for leptomeningeal disease (LMD). Here, we report the interim analysis results of an ongoing single-arm, first-in-human phase 1/1b study of concurrent intrathecal (IT) and intravenous (IV) nivolumab in patients with melanoma and LMD. The primary endpoints are determination of safety and the recommended IT nivolumab dose. The secondary endpoint is overall survival (OS). Patients are treated with IT nivolumab alone in cycle 1 and IV nivolumab is included in subsequent cycles. We treated 25 patients with metastatic melanoma using 5, 10, 20 and 50 mg of IT nivolumab. There were no dose-limiting …

Discerning Conversational Context In Online Health Communities For Personalized Digital Behavior Change Solutions Using Pragmatics To Reveal Intent In Social Media (Prism) Framework, Tavleen Singh, Kirk Roberts, Trevor Cohen, Nathan Cobb, Amy Franklin, Sahiti Myneni

Faculty, Staff and Student Publications

BACKGROUND: Online health communities (OHCs) have emerged as prominent platforms for behavior modification, and the digitization of online peer interactions has afforded researchers with unique opportunities to model multilevel mechanisms that drive behavior change. Existing studies, however, have been limited by a lack of methods that allow the capture of conversational context and socio-behavioral dynamics at scale, as manifested in these digital platforms.

OBJECTIVE: We develop, evaluate, and apply a novel methodological framework, Pragmatics to Reveal Intent in Social Media (PRISM), to facilitate granular characterization of peer interactions by combining multidimensional facets of human communication.

METHODS: We developed and applied …

Decs: A Tool For Systematic Cell Type Annotations Of Single-Cell Rna Sequencing Data Among Human Tissues, Guangsheng Pei, Fangfang Yan, Lukas M Simon, Yulin Dai, Peilin Jia, Zhongming Zhao

Faculty, Staff and Student Publications

Single-cell RNA sequencing (scRNA-seq) is revolutionizing the study of complex and dynamic cellular mechanisms. However, cell type annotation remains a main challenge as it largely relies on a priori knowledge and manual curation, which is cumbersome and subjective. The increasing number of scRNA-seq datasets, as well as numerous published genetic studies, has motivated us to build a comprehensive human cell type reference atlas.Here, we present decoding Cell type Specificity (deCS), an automatic cell type annotation method augmented by a comprehensive collection of human cell type expression profiles and marker genes. We used deCS to annotate scRNA-seq data from various tissue …

An Untrained Deep Learning Method For Reconstructing Dynamic Mr Images From Accelerated Model-Based Data, Kalina P Slavkova, Julie C Dicarlo, Viraj Wadhwa, Sidharth Kumar, Chengyue Wu, John Virostko, Thomas E Yankeelov, Jonathan I Tamir

Faculty, Staff and Student Publications

PURPOSE: To implement physics-based regularization as a stopping condition in tuning an untrained deep neural network for reconstructing MR images from accelerated data.

METHODS: The ConvDecoder (CD) neural network was trained with a physics-based regularization term incorporating the spoiled gradient echo equation that describes variable-flip angle data. Fully-sampled variable-flip angle k-space data were retrospectively accelerated by factors of R = {8, 12, 18, 36} and reconstructed with CD, CD with the proposed regularization (CD + r), locally low-rank (LR) reconstruction, and compressed sensing with L1-wavelet regularization (L1). Final images from CD + r training were evaluated at the "argmin" of …

Causal Effects On Complex Traits Are Similar For Common Variants Across Segments Of Different Continental Ancestries Within Admixed Individuals, Kangcheng Hou, Yi Ding, Ziqi Xu, Yue Wu, Arjun Bhattacharya, Rachel Mester, Gillian M Belbin, Steve Buyske, David V Conti, Burcu F Darst, Myriam Fornage, Chris Gignoux, Xiuqing Guo, Christopher Haiman, Eimear E Kenny, Michelle Kim, Charles Kooperberg, Leslie Lange, Ani Manichaikul, Kari E North, Ulrike Peters, Laura J Rasmussen-Torvik, Stephen S Rich, Jerome I Rotter, Heather E Wheeler, Genevieve L Wojcik, Ying Zhou, Sriram Sankararaman, Bogdan Pasaniuc

Faculty, Staff and Student Publications

Individuals of admixed ancestries (for example, African Americans) inherit a mosaic of ancestry segments (local ancestry) originating from multiple continental ancestral populations. This offers the unique opportunity of investigating the similarity of genetic effects on traits across ancestries within the same population. Here we introduce an approach to estimate correlation of causal genetic effects (radmix) across local ancestries and analyze 38 complex traits in African-European admixed individuals (N = 53,001) to observe very high correlations (meta-analysis radmix = 0.95, 95% credible interval 0.93-0.97), much higher than correlation of causal effects across continental ancestries. We replicate our results using regression-based methods …

Consensus-Based Evaluation Of Outcome Measures In Pediatric Stroke Care: A Toolkit, Samantha J Feldman, Lauren A Beslow, Ryan J Felling, Laura A Malone, Michaela Waak, Stuart Fraser, Nihal Bakeer, Jo Ellen M Lee, Victoria Sherman, Melissa M Howard, Beth Anne Cavanaugh, Robyn Westmacott, Lori C Jordan

Faculty, Staff and Student Publications

Following a pediatric stroke, outcome measures selected for monitoring functional recovery and development vary widely. We sought to develop a toolkit of outcome measures that are currently available to clinicians, possess strong psychometric properties, and are feasible for use within clinical settings. A multidisciplinary group of clinicians and scientists from the International Pediatric Stroke Organization comprehensively reviewed the quality of measures in multiple domains described in pediatric stroke populations including global performance, motor and cognitive function, language, quality of life, and behavior and adaptive functioning. The quality of each measure was evaluated using guidelines focused on responsiveness and sensitivity, reliability, …

Quantification Of The Role Of Lead Foil In Flattening Filter Free Beam Reference Dosimetry, Song Gao, Christopher Nelson, Congjun Wang, Vindu Kathriarachchi, Michael Choi, Rishik Saxena, Robin Kendall, Peter Balter

Faculty, Staff and Student Publications

PURPOSE: To quantify the potential error in outputs for flattening filter free (FFF) beams associated with use of a lead foil in beam quality determination per the addendum protocol for TG-51, we examined differences in measurements of the beam quality conversion factor k

METHODS: Two FFF beams, a 6 MV FFF and a 10 MV FFF, were calibrated on eight Varian TrueBeams and two Elekta Versa HD linear accelerators (linacs) according to the TG-51 addendum protocol by using Farmer ionization chambers [TN 30013 (PTW) and SNC600c (Sun Nuclear)] with traceable absorbed dose-to-water calibrations. In determining k

RESULTS: Differences in %dd(10)x …

Model-Constrained Reconstruction Accelerated With Fourier-Based Undersampling For Hyperpolarized [1-13c] Pyruvate Imaging, Zhan Xu, Keith A Michel, Christopher M Walker, Collin J Harlan, Gary V Martinez, Jeremy W Gordon, Hsin-Yu Chen, Daniel B Vigneron, James A Bankson

Faculty, Staff and Student Publications

PURPOSE: Model-constrained reconstruction with Fourier-based undersampling (MoReFUn) is introduced to accelerate the acquisition of dynamic MRI using hyperpolarized [1-

METHODS: The MoReFUn method resolves spatial aliasing using constraints introduced by a pharmacokinetic model that describes the signal evolution of both pyruvate and lactate. Acceleration was evaluated on three single-channel data sets: a numerical digital phantom that is used to validate the accuracy of reconstruction and model parameter restoration under various SNR and undersampling ratios, prospectively and retrospectively sampled data of an in vitro dynamic multispectral phantom, and retrospectively undersampled imaging data from a prostate cancer patient to test the fidelity …

Enoxaparin May Be Associated With Lower Rates Of Mortality Than Unfractionated Heparin In Neurocritical And Surgical Patients, Sophie Samuel, Catherine To, Yaobin Ling, Kai Zhang, Xiaoqian Jiang, Elmer V Bernstam

Faculty, Staff and Student Publications

Unfractionated heparin (UFH) and low molecular weight heparin (LMWH) are often administered to prevent venous thromboembolism (VTE) in critically ill patients. However, the preferred prophylactic agent (UFH or LMWH) is not known. We compared the all-cause mortality rate in patients receiving UFH to LMWH for VTE prophylaxis. We conducted a retrospective propensity score adjusted analysis of patients admitted to neuro-critical, surgical, or medical intensive care units. Patients were included if they were screened with venous duplex ultrasonography or computed tomography angiography for detection of VTE. The primary outcome was all-cause mortality. Secondary outcomes included the prevalence of VTE, deep vein …

Prediction Of Brain Metastases Development In Patients With Lung Cancer By Explainable Artificial Intelligence From Electronic Health Records, Zhao Li, Rongbin Li, Yujia Zhou, Laila Rasmy, Degui Zhi, Ping Zhu, Antonio Dono, Xiaoqian Jiang, Hua Xu, Yoshua Esquenazi, W Jim Zheng

Faculty, Staff and Student Publications

PURPOSE: Early detection of brain metastases (BMs) is critical for prompt treatment and optimal control of the disease. In this study, we seek to predict the risk of developing BM among patients diagnosed with lung cancer on the basis of electronic health record (EHR) data and to understand what factors are important for the model to predict BM development through explainable artificial intelligence approaches accurately.

MATERIALS AND METHODS: We trained a recurrent neural network model, REverse Time AttentIoN (RETAIN), to predict the risk of developing BM using structured EHR data. To interpret the model's decision process, we analyzed the attention …

Why Is Biomedical Informatics Hard? A Fundamental Framework, Todd R Johnson, Elmer V Bernstam

Faculty, Staff and Student Publications

Building on previous work to define the scientific discipline of biomedical informatics, we present a framework that categorizes fundamental challenges into groups based on data, information, and knowledge, along with the transitions between these levels. We define each level and argue that the framework provides a basis for separating informatics problems from non-informatics problems, identifying fundamental challenges in biomedical informatics, and provides guidance regarding the search for general, reusable solutions to informatics problems. We distinguish between processing data (symbols) and processing meaning. Computational systems, that are the basis for modern information technology (IT), process data. In contrast, many important challenges …

Convolutional Neural Network For Biomarker Discovery For Triple Negative Breast Cancer With Rna Sequencing Data, Xiangning Chen, Justin M Balko, Fei Ling, Yabin Jin, Anneliese Gonzalez, Zhongming Zhao, Jingchun Chen

Faculty, Staff and Student Publications

Triple negative breast cancers (TNBCs) are tumors with a poor treatment response and prognosis. In this study, we propose a new approach, candidate extraction from convolutional neural network (CNN) elements (CECE), for discovery of biomarkers for TNBCs. We used the GSE96058 and GSE81538 datasets to build a CNN model to classify TNBCs and non-TNBCs and used the model to make TNBC predictions for two additional datasets, the cancer genome atlas (TCGA) breast cancer RNA sequencing data and the data from Fudan University Shanghai Cancer Center (FUSCC). Using correctly predicted TNBCs from the GSE96058 and TCGA datasets, we calculated saliency maps …

Application Of An Ontology For Model Cards To Generate Computable Artifacts For Linking Machine Learning Information From Biomedical Research, Muhammad Tuan Amith, Licong Cui, Kirk Roberts, Cui Tao

Faculty, Staff and Student Publications

Model card reports provide a transparent description of machine learning models which includes information about their evaluation, limitations, intended use, etc. Federal health agencies have expressed an interest in model cards report for research studies using machine-learning based AI. Previously, we have developed an ontology model for model card reports to structure and formalize these reports. In this paper, we demonstrate a Java-based library (OWL API, FaCT++) that leverages our ontology to publish computable model card reports. We discuss future directions and other use cases that highlight applicability and feasibility of ontology-driven systems to support FAIR challenges.

De Novo Mutations Disturb Early Brain Development More Frequently Than Common Variants In Schizophrenia, Toshiyuki Itai, Peilin Jia, Yulin Dai, Jingchun Chen, Xiangning Chen, Zhongming Zhao

Faculty, Staff and Student Publications

Investigating functional, temporal, and cell-type expression features of mutations is important for understanding a complex disease. Here, we collected and analyzed common variants and de novo mutations (DNMs) in schizophrenia (SCZ). We collected 2,636 missense and loss-of-function (LoF) DNMs in 2,263 genes across 3,477 SCZ patients (SCZ-DNMs). We curated three gene lists: (a) SCZ-neuroGenes (159 genes), which are intolerant to LoF and missense DNMs and are neurologically important, (b) SCZ-moduleGenes (52 genes), which were derived from network analyses of SCZ-DNMs, and (c) SCZ-commonGenes (120 genes) from a recent GWAS as reference. To compare temporal gene expression, we used the BrainSpan …

In Vitro Activity Of Eravacycline And Comparator Agents Against Bacterial Pathogens Isolated From Patients With Cancer, Kenneth Rolston, Bahgat Gerges, Lior Nesher, Samuel A Shelburne, Randall Prince, Issam Raad

Faculty, Staff and Student Publications

BACKGROUND: Bacterial infections are common in patients with cancer, and many bacteria have developed resistance to currently used antibiotics.

OBJECTIVES: We evaluated the

METHODS: Antimicrobial susceptibility testing was performed using CLSI-approved methodology and interpretive criteria for 255 Gram-positive and 310 Gram-negative bacteria. MIC and susceptibility percentage were calculated according to CLSI and FDA breakpoints when available.

RESULTS: Eravacycline had potent activity against most Gram-positive bacteria, including MRSA. Of 80 Gram-positive isolates with available breakpoints, 74 (92.5%) were susceptible to eravacycline. Eravacycline had potent activity against most Enterobacterales, including ESBL-producing organisms. Of 230 Gram-negative isolates with available breakpoints, 201 (87.4%) were …

The In Vitro Activity Of Delafloxacin And Comparator Agents Against Bacterial Pathogens Isolated From Patients With Cancer, Bahgat Gerges, Kenneth Rolston, Samuel A Shelburne, Joel Rosenblatt, Randall Prince, Issam Raad

Faculty, Staff and Student Publications

BACKGROUND: Fluoroquinolones are used for infection prevention in high-risk patients with haematological malignancies. Fluoroquinolones are active against many Gram-negative bacilli (GNB) but are less active against Gram-positive organisms. We evaluated the

METHODS: Antimicrobial susceptibility testing and time-kill studies were performed using CLSI-approved methodology and interpretive criteria for 350 Gram-positive organisms and 210 GNB that had been recently isolated from patients with cancer.

RESULTS: Delafloxacin was more active than ciprofloxacin and levofloxacin against

CONCLUSIONS: Delafloxacin is more active than ciprofloxacin and levofloxacin against