Medical Specialties Commons^™

Harnessing Speech-Derived Digital Biomarkers To Detect And Quantify Cognitive Decline Severity In Older Adults, Gozde Cay, Valeria A Pfeifer, Myeounggon Lee, Mohammad Dehghan Rouzi, Adonay S Nunes, Nesreen El-Refaei, Anmol Salim Momin, Md Moin Uddin Atique, Matthias R Mehl, Ashkan Vaziri, Bijan Najafi

Center on Aging Staff Publications

Introduction: Current cognitive assessments suffer from floor/ceiling and practice effects, poor psychometric performance in mild cases, and repeated assessment effects. This study explores the use of digital speech analysis as an alternative tool for determining cognitive impairment. The study specifically focuses on identifying the digital speech biomarkers associated with cognitive impairment and its severity.

Methods: We recruited older adults with varying cognitive health. Their speech data, recorded via a wearable microphone during the reading aloud of a standard passage, were processed to derive digital biomarkers such as timing, pitch, and loudness. Cohen's d effect size highlighted group differences, and correlations …

An Ewas Of Dementia Biomarkers And Their Associations With Age, African Ancestry, And Ptsd, Mark W. Miller, Erika J. Wolf, Xiang Zhao, Mark W. Logue, Sage E. Hawn

Psychology Faculty Publications

Background

Large-scale cohort and epidemiological studies suggest that PTSD confers risk for dementia in later life but the biological mechanisms underlying this association remain unknown. This study examined this question by assessing the influences of PTSD, APOE ε4 genotypes, DNA methylation, and other variables on the age- and dementia-associated biomarkers Aβ40, Aβ42, GFAP, NfL, and pTau-181 measured in plasma. Our primary hypothesis was that PTSD would be associated with elevated levels of these markers.

Methods

Analyses were based on data from a PTSD-enriched cohort of 849 individuals. We began by performing factor analyses of the biomarkers, the results of which …

A Scoping Review Of Population Diversity In The Common Genomic Aberrations Of Clear Cell Renal Cell Carcinoma, Sean S. Kumar, Ninad Khandekar, Komal Dani, Saina R. Bhatt, Vinay Duddalwar, Anishka D'Souza

Department of Medicine Faculty Publications

Introduction: Previous literature has shown that clear cell renal cell carcinoma (ccRCC) is becoming a more prevalent diagnosis and that the incidence and mortality differ both regionally and racially. While the molecular profiles for ccRCC are studied regionally through biopsy and sequencing techniques, the genomic landscape and ccRCC diversity data are not well-studied. We conducted a review of the known genomic data on 6 of the most clinically relevant DNA biomarkers in ccRCC: Von Hippel-Landau (vHL), Polybromo-1 (PBRM1), Breast Cancer Gene 1-Associated Protein 1 (BAP1), Histone-Lysine N-Methyltransferase Domain-Containing 2 (SETD2), Mammalian Target of Rapamycin (mTOR), and Lysine-Specific Demethylase 5C (KDM5C). …

Systematic Review And Meta-Analysis Of Acupuncture For Modulation Of Immune And Inflammatory Markers In Cancer Patients, Wenli Liu, Baisong Zhong, Richard W Wagner, M Kay Garcia, Jennifer L Mcquade, Wen Huang, Yisheng Li, Graciela M Nogueras Gonzalez, Michael R Spano, Alessandro Cohen, Yimin Geng, Lorenzo Cohen

Faculty, Staff and Student Publications

Introduction: Inflammation is associated with tumor initiation, and existing tumors are associated with immune suppression locally and systemically. Cancer treatment is also associated with immune suppression. This review evaluates evidence related to the use of acupuncture for modulation of inflammation and the immune system in cancer patients.

Methods: Nine databases were searched for prospective, randomized, controlled trials evaluating the use of acupuncture for modulation of the immune system in cancer patients through March 2024. Only studies involving needle insertion into acupuncture points were included. No language limitations were applied. Studies were assessed for risk of bias (ROB) according to Cochrane …

Precision Needle-Punch Tumor Enrichment From Paraffin Blocks Improves The Detection Of Clinically Actionable Genomic Alterations And Biomarkers, Douglas I Lin, Richard S P Huang, Ioannis Ladas, Rachel B Keller, Nimesh R Patel, Sotirios Lakis, Brennan Decker, Tyler Janovitz, Douglas A Mata, Jeffrey S Ross, Jo-Anne Vergilio, Julia A Elvin, Roy S Herbst, Philip C Mack, Jonathan K Killian

Faculty, Staff and Student Publications

BACKGROUND: While many molecular assays can detect mutations at low tumor purity and variant allele frequencies, complex biomarkers such as tumor mutational burden (TMB), microsatellite instability (MSI), and genomic loss of heterozygosity (gLOH) require higher tumor purity for accurate measurement. Scalable, quality-controlled, tissue-conserving methods to increase tumor nuclei percentage (TN%) from tumor specimens are needed for complex biomarkers and hence necessary to maximize patient matching to approved therapies or clinical trial enrollment. We evaluated the clinical utility and performance of precision needle-punch enrichment (NPE) compared with traditional razor blade macroenrichment of tumor specimens on molecular testing success.

METHODS: Pathologist-directed NPE …

Highly Variable Timing Renders Immunotherapy Efficacy And Toxicity Impractical Biomarkers Of One Another In Clinical Practice, Mitchell S Von Itzstein, Yuqiu Yang, Yiqing Wang, David Hsiehchen, Thomas Y Sheffield, Farjana Fattah, Vinita Popat, Murtaza Ahmed, Jade Homsi, Jonathan E Dowell, Sawsan Rashdan, Jay Lohrey, Hans J Hammers, Randall S Hughes, Tao Wang, Yang Xie, David E Gerber

Faculty, Staff and Student Publications

Background: A useful clinical biomarker requires not only association but also a consistent temporal relationship. For instance, chemotherapy-induced neutropenia and epidermal growth-factor inhibitor-related acneiform rash both occur within weeks of treatment initiation, thereby providing information prior to efficacy assessment. Although immune checkpoint inhibitor (ICI)-associated immune-related adverse events (irAE) have been associated with therapeutic benefit, irAE may have delayed and highly variable onset. To determine whether ICI efficacy and irAE could serve as clinically useful biomarkers for predicting each other, we determined the temporal relationship between initial efficacy assessment and irAE onset in a diverse population treated with ICI.

Methods: Using …

Circulating Tumor Dna (Ctdna) As A Biomarker Of Response To Therapy In Advanced Hepatocellular Carcinoma Treated With Nivolumab, Yehia I Mohamed, Sunyoung S Lee, Tarik Demir, Shadi Chamseddine, Zishuo Ian Hu, Lianchun Xiao, Khaled Elsayes, Jeffrey S Morris, Robert A Wolff, Rikita Hiatia, Aliya Qayyum, Asif Rashid, Dan G Duda, James C Yao, Michael Lapelusa, Eugene J Koay, Armeen Mahvash, Ahmed Al Azzam, Ecaterina E Dumbrava, Manal Hassan, Hesham M Amin, Ahmed Omar Kaseb

Faculty, Staff and Student Publications

Background: Circulating tumor DNA (ctDNA) is a promising non-invasive marker for detection, diagnosis, treatment selection, and prognosis of hepatocellular carcinoma (HCC).

Objective: This study aimed to examine the utility of ctDNA as a prognostic and predictive tool in HCC patients treated with nivolumab.

Methods: We analyzed pre-treatment ctDNA from 44 HCC patients using comprehensive genomic testing on a commercially available platform. We utilized log rank test and univariate Cox models to correlate overall survival (OS) and progression-free survival (PFS) with ctDNA expressions.

Results: Of 44 patients, 77.3% were men with median age of 67 years. All but 3 patients had …

Egfr, Hla-G, Cd70, C-Met, And Ny-Eso1 As Potential Biomarkers In High Grade Epithelial Ovarian Carcinoma, Duc Vo, Yan Liu, Anil K Sood, Katy Rezvani, Amir A Jazaeri, Jinsong Liu

Faculty, Staff and Student Publications

High grade epithelial ovarian carcinoma is an aggressive tumor. Treatment includes platinum therapy, however it recurs in most patients due to therapy resistance. In this project, we study the immunohistochemical (IHC) expression of five potential biomarkers/prognostic markers in high grade epithelial ovarian carcinoma: EGFR, HLA-G, CD70, c-MET, and NY-ESO1. A cohort of 274 patients is used. We compare the IHC expression with age, stage, ascites status, family history of cancer, disease free survival (DFS) and overall survival (OS). EGFR expression is significantly correlated with family history and worse OS. HLA-G is associated with worse OS. To confirm the results of …

Analysis Of B7-H4 Expression Across Salivary Gland Carcinomas Reveals Adenoid Cystic Carcinoma-Specific Prognostic Relevance, Juliana Mota Siqueira, Yoshitsugu Mitani, Camilla Oliveira Hoff, Flavia Bonini, Luana Guimaraes De Sousa, Mario L Marques-Piubelli, Anurag Purushothaman, Mutsumi Mitani, Hui Dai, Shiaw-Yih Lin, Michael T Spiotto, Ehab Y Hanna, Daniel J Mcgrail, Adel K El-Naggar, Renata Ferrarotto

Faculty, Staff and Student Publications

B7-H4 (VTCN1), a member of the B7 family, is overexpressed in several types of cancer. Here we investigated the pattern of expression of B7-H4 in salivary gland carcinomas (SGC) and assessed its potential as a prognostic marker and therapeutic target. Immunohistochemistry (IHC) analyses were performed in a cohort of 340 patient tumors, composed of 124 adenoid cystic carcinomas (ACC), 107 salivary duct carcinomas (SDC), 64 acinic cell carcinomas, 36 mucoepidermoid carcinomas (MEC), 9 secretory carcinomas (SC), as well as 20 normal salivary glands (controls). B7-H4 expression was scored and categorized into negative (< 5% expression of any intensity), low (5%-70% expression of any intensity or >70% with weak intensity), or high ( …

Multiplex Spatial Analysis Reveals Increased Cd137 Expression And M-Mdsc Neighboring Tumor Cells In Refractory Classical Hodgkin Lymphoma, José L Solórzano, Victoria Menéndez, Edwin Parra, Luisa Solis, Ruth Salazar, Mónica García-Cosío, Fina Climent, Sara Fernández, Eva Díaz, Alejandro Francisco-Cruz, Joseph Khoury, Mei Jiang, Auriole Tamegnon, Carlos Montalbán, Ignacio Melero, Ignacio Wistuba, Carlos De Andrea, Juan F García

Faculty, Staff and Student Publications

The Hodgkin and Reed - Sternberg (HRS) cells in classical Hodgkin Lymphoma (cHL) actively modify the immune tumor microenvironment (TME) attracting immunosuppressive cells and expressing inhibitory molecules. A high frequency of myeloid cells in the TME is correlated with an unfavorable prognosis, but more specific and rare cell populations lack precise markers. Myeloid-derived suppressor cells (MDSCs) have been identified in the peripheral blood of cHL patients, where they appear to be correlated with disease aggressiveness. TNFRSF9 (CD137) is a T cell co-stimulator expressed by monocytic and dendritic cells. Its expression has also been described in HRS cells, where it is …

Exploratory Pilot Study To Characterize The Immune Landscapes Of Malignant Pleural Effusions And Their Corresponding Primary Tumors From Patients With Breast Carcinoma And Lung Adenocarcinoma, Caddie Laberiano-Fernandez, Qiong Gan, Sophia Mei Wang, Auriole Tamegnon, Ignacio Wistuba, Esther Yoon, Sinchita Roy-Chowdhuri, Edwin Roger Parra

Faculty, Staff and Student Publications

Introduction: Malignant pleural effusion (MPE) is a frequent complication of advanced malignancies. In this pilot study, we characterized the immune landscapes of MPEs, compared them to their primary tumor (PT) samples from breast carcinoma (BC) and lung adenocarcinoma (LADC), and tested the utility of multiplexed image technology in cytological samples.

Materials and methods: We evaluated the immune contexture of 6 BC and 5 LADC MPEs and their PTs using 3 multiplex immunofluorescence panels. We explored the associations between sample characteristics and pleural effusion-free survival.

Results: No MPE samples had positive programmed death-ligand 1 expression in malignant cells, although 3 of …

Diagnostic Value Of Soluble Urokinase-Type Plasminogen Activator Receptor In Patients With Acute Coronary Syndrome: A Systematic Review And Meta-Analysis, Michal Pruc, Iwona Jannasz, Damian Swieczkowski, Grzegorz Procyk, Aleksandra Gasecka, Zubaid Rafique, Francesco Chirico, Nicola Luigi Bragazzi, Milosz J Jaguszewski, Jaroslaw Wysocki, Lukasz Szarpak

Faculty, Staff and Students Publications

BACKGROUND: In contemporary clinical practice, there is an increasing need for new clinically relevant biomarkers potentially optimizing management strategies in patients with suspected acute coronary syndrome (ACS). This study aimed to determine the diagnostic utility of soluble urokinase-type plasminogen activator receptor (suPAR) levels in individuals with suspected ACS.

METHODS: A literature search was performed in Web of Science, PubMed, Scopus, and the Cochrane Central Register of Controlled Trials databases, for studies comparing suPAR levels among patients with and without ACS groups. The methodological quality of the included papers was assessed using the Newcastle-Ottawa Scale (NOS). A fixed-effects model was used …

Meta-Analysis Of Postoperative Myocardial Injury As A Predictor Of Mortality After Living Donor Liver Transplantation, Krzysztof Jankowski, Frank W Peacock, Michal Pruc, Teresa Malecka-Massalska, Lukasz Szarpak

Faculty, Staff and Students Publications

BACKGROUND: The purpose of this study was to perform a systematic review and meta-analysis to investigate postoperative myocardial injury, as expressed by the postoperative concentration of high-sensitivity cardiac troponin I (hs-cTnI) as a predictor of mortality among living donor liver transplantation (LDLT) patients.

METHODS: PubMed, Scopus, Embase and the Cochrane Library were searched through to September 1st 2022. The primary endpoint included in-hospital mortality. Secondary endpoints were 1-year mortality and re-transplantation occurrence. Estimates are expressed as risk ratios (RRs) and 95% confidence intervals (95% CIs). Heterogeneity was assessed with the I² test.

RESULTS: During the search, 2 studies were found …

Predictive Metabolites For Incident Myocardial Infarction: A Two-Step Meta-Analysis Of Individual Patient Data From Six Cohorts Comprising 7897 Individuals From The Consortium Of Metabolomics Studies, Ana Nogal, Taryn Alkis, Yura Lee, Domagoj Kifer, Jie Hu, Rachel A Murphy, Zhe Huang, Rui Wang-Sattler, Gabi Kastenmüler, Birgit Linkohr, Clara Barrios, Marta Crespo, Christian Gieger, Annette Peters, Jackie Price, Kathryn M Rexrode, Bing Yu, Cristina Menni

Faculty, Staff and Student Publications

AIMS: Myocardial infarction (MI) is a major cause of death and disability worldwide. Most metabolomics studies investigating metabolites predicting MI are limited by the participant number and/or the demographic diversity. We sought to identify biomarkers of incident MI in the COnsortium of METabolomics Studies.

METHODS AND RESULTS: We included 7897 individuals aged on average 66 years from six intercontinental cohorts with blood metabolomic profiling (n = 1428 metabolites, of which 168 were present in at least three cohorts with over 80% prevalence) and MI information (1373 cases). We performed a two-stage individual patient data meta-analysis. We first assessed the associations …

Altered Outer Retinal Structure, Electrophysiology And Visual Perception In Parkinson's Disease, Katie K N Tran, Pei Ying Lee, David I Finkelstein, Allison M Mckendrick, Bao N Nguyen, Bang V Bui, Christine T O Nguyen

Faculty, Staff and Student Publications

BACKGROUND: Visual biomarkers of Parkinson's disease (PD) are attractive as the retina is an outpouching of the brain. Although inner retinal neurodegeneration in PD is well-established this has overlap with other neurodegenerative diseases and thus outer retinal (photoreceptor) measures warrant further investigation.

OBJECTIVE: To examine in a cross-sectional study whether clinically implementable measures targeting outer retinal function and structure can differentiate PD from healthy ageing and whether these are sensitive to intraday levodopa (L-DOPA) dosing.

METHODS: Centre-surround perceptual contrast suppression, macular visual field sensitivity, colour discrimination, light-adapted electroretinography and optical coherence tomography (OCT) were tested in PD participants (n = …

Para-Infectious Brain Injury In Covid-19 Persists At Follow-Up Despite Attenuated Cytokine And Autoantibody Responses, Benedict D Michael, Cordelia Dunai, Edward J Needham, Kukatharmini Tharmaratnam, Robyn Williams, Yun Huang, Sarah A Boardman, Jordan J Clark, Parul Sharma, Krishanthi Subramaniam, Greta K Wood, Ceryce Collie, Richard Digby, Alexander Ren, Emma Norton, Maya Leibowitz, Soraya Ebrahimi, Andrew Fower, Hannah Fox, Esteban Tato, Mark A Ellul, Geraint Sunderland, Marie Held, Claire Hetherington, Franklyn N Egbe, Alish Palmos, Kathy Stirrups, Alexander Grundmann, Anne-Cecile Chiollaz, Jean-Charles Sanchez, James P Stewart, Michael Griffiths, Tom Solomon, Gerome Breen, Alasdair J Coles, Nathalie Kingston, John R Bradley, Patrick F Chinnery, Jonathan Cavanagh, Sarosh R Irani, Angela Vincent, J Kenneth Baillie, Peter J Openshaw, Malcolm G Semple, Covid-Cns Consortium, Isaric4c Investigators, Leonie S Taams, David K Menon

Faculty, Staff and Student Publications

To understand neurological complications of COVID-19 better both acutely and for recovery, we measured markers of brain injury, inflammatory mediators, and autoantibodies in 203 hospitalised participants; 111 with acute sera (1-11 days post-admission) and 92 convalescent sera (56 with COVID-19-associated neurological diagnoses). Here we show that compared to 60 uninfected controls, tTau, GFAP, NfL, and UCH-L1 are increased with COVID-19 infection at acute timepoints and NfL and GFAP are significantly higher in participants with neurological complications. Inflammatory mediators (IL-6, IL-12p40, HGF, M-CSF, CCL2, and IL-1RA) are associated with both altered consciousness and markers of brain injury. Autoantibodies are more common …

Biomarkers Of Affective Dysregulation Associated With In Utero Exposure To Etoh, Nune Darbinian, Nana Merabova, Gabriel Tatevosian, Mary Morrison, Armine Darbinyan, Huaqing Zhao, Laura Goetzl, Michael Edgar Selzer

Faculty, Staff and Student Publications

INTRODUCTION: Children with fetal alcohol spectrum disorders (FASD) exhibit behavioral and affective dysregulation, including hyperactivity and depression. The mechanisms are not known, but they could conceivably be due to postnatal social or environmental factors. However, we postulate that, more likely, the affective dysregulation is associated with the effects of EtOH exposure on the development of fetal serotonergic (5-HT) and/or dopaminergic (DA) pathways, i.e., pathways that in postnatal life are believed to regulate mood. Many women who use alcohol (ethanol, EtOH) during pregnancy suffer from depression and take selective serotonin reuptake inhibitors (SSRIs), which might influence these monoaminergic pathways in the …

Acidosis-Mediated Increase In Ifn-Γ-Induced Pd-L1 Expression On Cancer Cells As An Immune Escape Mechanism In Solid Tumors, Philipp Knopf, Dimitri Stowbur, Sabrina H L Hoffmann, Natalie Hermann, Andreas Maurer, Valentina Bucher, Marilena Poxleitner, Bredi Tako, Dominik Sonanini, Balaji Krishnamachary, Sanhita Sinharay, Birgit Fehrenbacher, Irene Gonzalez-Menendez, Felix Reckmann, David Bomze, Lukas Flatz, Daniela Kramer, Martin Schaller, Stephan Forchhammer, Zaver M Bhujwalla, Leticia Quintanilla-Martinez, Klaus Schulze-Osthoff, Mark D Pagel, Marieke F Fransen, Martin Röcken, André F Martins, Bernd J Pichler, Kamran Ghoreschi, Manfred Kneilling

Faculty, Staff and Student Publications

Immune checkpoint inhibitors have revolutionized cancer therapy, yet the efficacy of these treatments is often limited by the heterogeneous and hypoxic tumor microenvironment (TME) of solid tumors. In the TME, programmed death-ligand 1 (PD-L1) expression on cancer cells is mainly regulated by Interferon-gamma (IFN-γ), which induces T cell exhaustion and enables tumor immune evasion. In this study, we demonstrate that acidosis, a common characteristic of solid tumors, significantly increases IFN-γ-induced PD-L1 expression on aggressive cancer cells, thus promoting immune escape. Using preclinical models, we found that acidosis enhances the genomic expression and phosphorylation of signal transducer and activator of transcription …

Monitoring Glucocorticoid Receptor In Plasma-Derived Extracellular Vesicles As A Marker Of Resistance To Androgen Receptor Signaling Inhibition In Prostate Cancer, Emanuela Gentile, Andrew W Hahn, Jian H Song, Anh Hoang, Peter D A Shepherd, Sumankalai Ramachandran, Nora M Navone, Eleni Efstathiou, Mark Titus, Paul G Corn, Sue-Hwa Lin, Christopher J Logothetis, Theocharis Panaretakis

Faculty, Staff and Student Publications

Disease progression following androgen ablation was shown to be associated with upregulation of the glucocorticoid receptor (GR). Longitudinal monitoring of GR expression in circulating extracellular vesicles (EV) may reflect changes in the tumor cell and facilitates detection of acquired resistance. We utilized LNCaP, LREX cells and a patient-derived xenograft, MDA PDX 322-2-6a, for in vitro and in vivo experiments. Plasma-derived EVs were isolated from patients with localized high-risk prostate cancer undergoing androgen ablation. The mRNA levels of GR in EVs and their responsive genes were detected by transcriptome analysis, qRT-PCR and the protein levels by Western blot analysis. We detected …

Identification Of Candidate Dna Methylation Biomarkers Related To Alzheimer’S Disease Risk By Integrating Genome And Blood Methylome Data, Yanfa Sun, Jingjing Zhu, Yaohua Yang, Zichen Zhang, Hua Zhong, Guanghua Zeng, Dan Zhou, Richard S Nowakowski, Jirong Long, Chong Wu, Lang Wu

Faculty, Staff and Student Publications

Alzheimer disease (AD) is a common neurodegenerative disease with a late onset. It is critical to identify novel blood-based DNA methylation biomarkers to better understand the extent of the molecular pathways affected in AD. Two sets of blood DNA methylation genetic prediction models developed using different reference panels and modelling strategies were leveraged to evaluate associations of genetically predicted DNA methylation levels with AD risk in 111,326 (46,828 proxy) cases and 677,663 controls. A total of 1,168 cytosine-phosphate-guanine (CpG) sites showed a significant association with AD risk at a false discovery rate (FDR) < 0.05. Methylation levels of 196 CpG sites were correlated with expression levels of 130 adjacent genes in blood. Overall, 52 CpG sites of 32 genes showed consistent association directions for the methylation-gene expression-AD risk, including nine genes (CNIH4, THUMPD3, SERPINB9, MTUS1, CISD1, FRAT2, CCDC88B, FES, and SSH2) firstly reported as AD risk genes. Nine of 32 genes were enriched in dementia and AD disease categories (P values ranged from 1.85 × 10-4 to 7.46 × 10-6), and 19 genes in a neurological disease network (score = 54) were also observed. Our findings improve the understanding of genetics and etiology for AD.

The Dose-Response Effect Of Aerobic Exercise On Inflammation In Colon Cancer Survivors, Justin C. Brown, Stephanie L.E. Compton, Jeffrey A. Meyerhardt, Guillaume Spielmann, Shengping Yang

School of Medicine Faculty Publications

Background; Physical activity after surgical resection for colon cancer is associated with significantly longer disease-free survival. Inflammation is hypothesized to mediate the association between physical activity and disease-free survival in colon cancer. Methods; In this exploratory analysis of a randomized dose-response trial, 39 colon cancer survivors who completed standard therapy were stratified by cancer stage and randomized in a 1;1;1 ratio to one of three treatment groups for 24 weeks of usual-care control, 150 min/wk of moderate-intensity aerobic exercise (low-dose), or 300 min/wk of moderate-intensity aerobic exercise (high-dose). Inflammation outcomes included high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL6), and soluble tumor …

Identification Of Ct-Based Non-Invasive Radiomic Biomarkers For Overall Survival Prediction In Oral Cavity Squamous Cell Carcinoma, Xiao Ling, Gregory S. Alexander, Jason Molitoris, Jinhyuk Choi, Lisa Schumaker, Ranee Mehra, Daria A. Gaykalova, Lei Ren

Department of Radiation Oncology Faculty Papers

This study addresses the limited non-invasive tools for Oral Cavity Squamous Cell Carcinoma (OSCC) survival prediction by identifying Computed Tomography (CT)-based biomarkers to improve prognosis prediction. A retrospective analysis was conducted on data from 149 OSCC patients, including CT radiomics and clinical information. An ensemble approach involving correlation analysis, score screening, and the Sparse-L1 algorithm was used to select functional features, which were then used to build Cox Proportional Hazards models (CPH). Our CPH achieved a 0.70 concordance index in testing. The model identified two CT-based radiomics features, Gradient-Neighboring-Gray-Tone-Difference-Matrix-Strength (GNS) and normalized-Wavelet-LLL-Gray-Level-Dependence-Matrix-Large-Dependence-High-Gray-Level-Emphasis (HLE), as well as stage and alcohol usage, …

Novel Urine Cell-Free Dna Methylation Markers For Hepatocellular Carcinoma, Selena Lin, Wei Xia, Amy Kim, Dion Chen, Shelby Schleyer, Lin Choi, Zhili Wang, James Hamilton, Harry Luu, Hie-Won Hann, Ting-Tsung Chang, Chi-Tan Hu, Abashai Woodard, Terence Gade, Ying-Hsiu Su

Division of Gastroenterology and Hepatology Faculty Papers

An optimized hepatocellular carcinoma (HCC)-targeted methylation next generation sequencing assay was developed to discover HCC-associated methylation markers directly from urine for HCC screening. Urine cell-free DNA (ucfDNA) isolated from a discovery cohort of 31 non-HCC and 30 HCC was used for biomarker discovery, identifying 29 genes with differentially methylated regions (DMRs). Methylation-specific qPCR (MSqPCR) assays were developed to verify the selected DMRs corresponding to 8 genes (GRASP, CCND2, HOXA9, BMP4, VIM, EMX1, SFRP1, and ECE). Using archived ucfDNA, methylation of GRASP, HOXA9, BMP4, and ECE1, were found to be significantly different (p < 0.05) between HCC and non-HCC patients. The four markers together with previously reported GSTP1 and RASSF1A markers were assessed as a 6-marker panel in an independent training cohort of 87 non-HCC and 78 HCC using logistic regression modeling. AUROC of 0.908 (95% CI, 0.8656-0.9252) was identified for the 6-marker panel with AFP, which was significantly higher than AFP-alone (AUROC 0.841 (95% CI, 0.778-0.904), p = 0.0026). Applying backward selection method, a 4-marker panel was found to exhibit similar performance to the 6-marker panel with AFP having 80% sensitivity compared to 29.5% by AFP-alone at a specificity of 85%. This study supports the potential use of methylated transrenal ucfDNA for HCC screening.

Biomarkers For Heart Failure Prediction And Prevention, Prasanti Alekhya Kotta, Vijay Nambi, Biykem Bozkurt

Faculty, Staff and Students Publications

Heart failure (HF) is a global pandemic affecting over 64 million people worldwide. Its prevalence is on an upward trajectory, with associated increasing healthcare expenditure. Organizations including the American College of Cardiology (ACC) and the American Heart Association (AHA) have identified HF prevention as an important focus. Recently, the ACC/AHA/Heart Failure Society of America (HFSA) Guidelines on heart failure were updated with a new Class IIa, Level of Evidence B recommendation for biomarker-based screening in patients at risk of developing heart failure. In this review, we evaluate the studies that have assessed the various roles and contributions of biomarkers in …

Deep Learning-Enabled Breast Cancer Endocrine Response Determination From H&E Staining Based On Esr1 Signaling Activity, Chun Wai Ng, Kwong-Kwok Wong

Faculty, Staff and Student Publications

Estrogen receptor (ER) positivity by immunohistochemistry has long been a main selection criterium for breast cancer patients to be treated with endocrine therapy. However, ER positivity might not directly correlate with activated ER signaling activity, which is a better predictor for endocrine therapy responsiveness. In this study, we investigated if a deep learning method using whole-slide H&E-stained images could predict ER signaling activity. First, ER signaling activity score was determined using RNAseq data available from each of the 1082 breast cancer samples in the TCGA Pan-Cancer dataset based on the Hallmark Estrogen Response Early gene set from the Molecular Signature …

Agreement Between Published Reference Resources For Neurofilament Light Chain Levels In People With Multiple Sclerosis., Elias S Sotirchos, Chen Hu, Matthew D Smith, Hannah-Noelle Lord, Anna L Duval, Georgina Arrambide, Xavier Montalban, Katja Akgün, Tjalf Ziemssen, Robert T Naismith, Carrie M Hersh, Megan Hyland, Lauren B Krupp, Jacqueline A Nicholas, Robert A Bermel, Ellen M Mowry, Peter A Calabresi, Kathryn C Fitzgerald

Neuroscience Articles

OBJECTIVES: To examine the agreement between published reference resources for neurofilament light chain (NfL) applied to a large population of people with multiple sclerosis (MS).

METHODS: Six published reference resources were used to classify NfL in participants in the Multiple Sclerosis Partners Advancing Technology and Health Solutions (MS PATHS) network as elevated or normal and to derive age-specific NfL

RESULTS: NfL measurements were assessed from 12,855 visits of 6,687 people with MS (median 2 samples per individual [range 1-7]). The mean ± SD age was 47.1 ± 11.7 years, 72.1% of participants were female, disease duration was 15.0 ± 10.6 …

Targeted Gene Expression Profiling Predicts Meningioma Outcomes And Radiotherapy Responses, William C Chen, Abrar Choudhury, Mark W Youngblood, Mei-Yin C Polley, Calixto-Hope G Lucas, Kanish Mirchia, Sybren L N Maas, Abigail K Suwala, Minhee Won, James C Bayley, Akdes S Harmanci, Arif O Harmanci, Tiemo J Klisch, Minh P Nguyen, Harish N Vasudevan, Kathleen Mccortney, Theresa J Yu, Varun Bhave, Tai-Chung Lam, Jenny Kan-Suen Pu, Lai-Fung Li, Gilberto Ka-Kit Leung, Jason W Chan, Haley K Perlow, Joshua D Palmer, Christine Haberler, Anna S Berghoff, Matthias Preusser, Theodore P Nicolaides, Christian Mawrin, Sameer Agnihotri, Adam Resnick, Brian R Rood, Jessica Chew, Jacob S Young, Lauren Boreta, Steve E Braunstein, Jessica Schulte, Nicholas Butowski, Sandro Santagata, David Spetzler, Nancy Ann Oberheim Bush, Javier E Villanueva-Meyer, James P Chandler, David A Solomon, C Leland Rogers, Stephanie L Pugh, Minesh P Mehta, Penny K Sneed, Mitchel S Berger, Craig M Horbinski, Michael W Mcdermott, Arie Perry, Wenya Linda Bi, Akash J Patel, Felix Sahm, Stephen T Magill, David R Raleigh

Faculty, Staff and Student Publications

Surgery is the mainstay of treatment for meningioma, the most common primary intracranial tumor, but improvements in meningioma risk stratification are needed and indications for postoperative radiotherapy are controversial. Here we develop a targeted gene expression biomarker that predicts meningioma outcomes and radiotherapy responses. Using a discovery cohort of 173 meningiomas, we developed a 34-gene expression risk score and performed clinical and analytical validation of this biomarker on independent meningiomas from 12 institutions across 3 continents (N = 1,856), including 103 meningiomas from a prospective clinical trial. The gene expression biomarker improved discrimination of outcomes compared with all other systems …

In Severe Alcohol-Related Hepatitis, Acute Kidney Injury Is Prevalent, Associated With Mortality Independent Of Liver Disease Severity, And Can Be Predicted Using Il-8 And Micro-Rnas, Luke D Tyson, Stephen Atkinson, Robert W Hunter, Michael Allison, Andrew Austin, James W Dear, Ewan Forrest, Tong Liu, Emma Lord, Steven Masson, Joao Nunes, Paul Richardson, Stephen D Ryder, Mark Wright, Mark Thursz, Nikhil Vergis

Faculty, Staff and Student Publications

BACKGROUND: The prevalence, prediction and impact of acute kidney injury (AKI) in alcohol-related hepatitis (AH) is uncertain.

AIMS: We aimed to determine AKI incidence; association with mortality; evaluate serum biomarkers and the modifying effects of prednisolone and pentoxifylline in the largest AH cohort to date.

METHODS: Participants in the Steroids or Pentoxifylline for Alcoholic Hepatitis trial with day zero (D0) creatinine available were included. AKI was defined by modified International Club of Ascites criteria; incident AKI as day 7 (D7) AKI without D0-AKI. Survival was compared by Kaplan-Meier; mortality associations by Cox regression; associations with AKI by binary logistic regression; …

Serum Biomarkers Of Nociceptive And Neuropathic Pain In Chronic Pancreatitis, Jami L Saloman, Yan Li, Kimberly Stello, Wenhao Li, Shuang Li, Anna Evans Phillips, Kristen Hall, Evan L Fogel, Santhi Swaroop Vege, Liang Li, Dana K Andersen, William E Fisher, Christopher E Forsmark, Phil A Hart, Stephen J Pandol, Walter G Park, Mark D Topazian, Stephen K Van Den Eeden, Jose Serrano, Darwin L Conwell, Dhiraj Yadav, Consortium For The Study Of Chronic Pancreatitis, Diabetes, And Pancreatic Cancer (Cpdpc)

Faculty, Staff and Students Publications

Debilitating abdominal pain is a common symptom affecting most patients with chronic pancreatitis (CP). There are multiple underlying mechanisms that contribute to CP-related pain, which makes successful treatment difficult. The identification of biomarkers for subtypes of pain could provide viable targets for nonopioid interventions and the development of mechanistic approaches to pain management in CP. Nineteen inflammation- and nociception-associated proteins were measured in serum collected from 358 subjects with definite CP enrolled in PROspective Evaluation of Chronic Pancreatitis for EpidEmiologic and Translational StuDies, a prospective observational study of pancreatitis in US adult subjects. First, serum levels of putative biomarkers were …

Alignment Between 24-H Light-Dark And Activity-Rest Rhythms Is Associated With Diabetes And Glucose Metabolism In A Nationally Representative Sample Of American Adults, Qian Xiao, John Durbin, Cici Bauer, Chris Ho Ching Yeung, Mariana G Figueiro

Faculty, Staff and Student Publications

OBJECTIVE: The alignment between environmental stimuli (e.g., dark, light) and behavior cycles (e.g., rest, activity) is an essential feature of the circadian timing system, a key contributor to metabolic health. However, no previous studies have investigated light-activity alignment in relation to glycemic control in human populations.

RESEARCH DESIGN AND METHODS: The analysis included ∼7,000 adults (aged 20-80 years) from the National Health and Nutrition Examination Survey (NHANES) (2011-2014) with actigraphy-measured, multiday, 24-h activity and light data. We used phasor analysis to derive phasor magnitude and phasor angle, which measures coupling strength and phase difference between the activity-rest and light-dark cycles, …