Biomedical Informatics Commons^™

Benchmarking Outcomes For Molecularly Characterized Synchronous Oligo Metastatic Non-Small-Cell Lung Cancer Reveals Egfr Mutations To Be Associated With Longer Overall Survival, Brian De, Ahsan S Farooqi, Kyle G Mitchell, Ethan B Ludmir, Jeff Lewis, Waree Rinsurongkawong, Vadeerat Rinsurongkawong, J Jack Lee, Stephen G Swisher, Don L Gibbons, Jianjun Zhang, Xiuning Le, Yasir Y Elamin, Daniel R Gomez, Matthew S Ning, Steven H Lin, Zhongxing Liao, Joe Y Chang, Ara A Vaporciyan, John V Heymach, Mara B Antonoff, Saumil J Gandhi

Faculty, Staff and Student Publications

PURPOSE: Local consolidative therapy (LCT) for patients with synchronous oligometastatic non-small-cell lung cancer is an evolving treatment strategy, but outcomes following LCT stratified by genetic mutations have not been reported. We sought to identify genomic associations with overall survival (OS) and progression-free survival (PFS) for these patients.

METHODS: We identified all patients presenting between 2000 and 2017 with stage IV non-small-cell lung cancer and ≤ 3 synchronous metastatic sites. Patients were grouped according to mutational statuses. Primary outcomes included OS and PFS following initial diagnosis.

RESULTS: Of 194 included patients, 121 received comprehensive LCT to all sites of disease with …

Predicting The Risk Of A Clinical Event Using Longitudinal Data: The Generalized Landmark Analysis, Yi Yao, Liang Li, Brad Astor, Wei Yang, Tom Greene

Faculty, Staff and Student Publications

Background: In the development of prediction models for a clinical event, it is common to use the static prediction modeling (SPM), a regression model that relates baseline predictors to the time to event. In many situations, the data used in training and validation are from longitudinal studies, where predictor variables are time-varying and measured at clinical visits. But these data are not used in SPM. The landmark analysis (LA), previously proposed for dynamic prediction with longitudinal data, has interpretational difficulty when the baseline is not a risk-changing clinical milestone, as is often the case in observational studies of chronic disease …

Ageanno: A Knowledgebase Of Single-Cell Annotation Of Aging In Human, Kexin Huang, Hoaran Gong, Jingjing Guan, Lingxiao Zhang, Changbao Hu, Weiling Zhao, Liyu Huang, Wei Zhang, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

Aging is a complex process that accompanied by molecular and cellular alterations. The identification of tissue-/cell type-specific biomarkers of aging and elucidation of the detailed biological mechanisms of aging-related genes at the single-cell level can help to understand the heterogeneous aging process and design targeted anti-aging therapeutics. Here, we built AgeAnno (https://relab.xidian.edu.cn/AgeAnno/#/), a knowledgebase of single cell annotation of aging in human, aiming to provide comprehensive characterizations for aging-related genes across diverse tissue-cell types in human by using single-cell RNA and ATAC sequencing data (scRNA and scATAC). The current version of AgeAnno houses 1 678 610 cells from 28 healthy …

Spascer: Spatial Transcriptomics Annotation At Single-Cell Resolution, Zhiwei Fan, Yangyang Luo, Huifen Lu, Tiangang Wang, Yuzhou Feng, Weiling Zhao, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

In recent years, the explosive growth of spatial technologies has enabled the characterization of spatial heterogeneity of tissue architectures. Compared to traditional sequencing, spatial transcriptomics reserves the spatial information of each captured location and provides novel insights into diverse spatially related biological contexts. Even though two spatial transcriptomics databases exist, they provide limited analytical information. Information such as spatial heterogeneity of genes and cells, cell-cell communication activities in space, and the cell type compositions in the microenvironment are critical clues to unveil the mechanism of tumorigenesis and embryo differentiation. Therefore, we constructed a new spatial transcriptomics database, named SPASCER (https://ccsm.uth.edu/SPASCER), …

Pickles V3: The Updated Database Of Pooled In Vitro Crispr Knockout Library Essentiality Screens, Lance C Novak, Juihsuan Chou, Medina Colic, Christopher A Bristow, Traver Hart

Faculty, Staff and Student Publications

PICKLES (https://pickles.hart-lab.org) is an updated web interface to a freely available database of genome-scale CRISPR knockout fitness screens in human cell lines. Using a completely rewritten interface, researchers can explore gene knockout fitness phenotypes across cell lines and tissue types and compare fitness profiles with fitness, expression, or mutation profiles of other genes. The database has been updated to include data from three CRISPR libraries (Avana, Score, and TKOv3), and includes information from 1162 whole-genome screens probing the knockout fitness phenotype of 18 959 genes. Source code for the interface and the integrated database are available for download.

Immune Environment And Antigen Specificity Of The T Cell Receptor Repertoire Of Malignant Ascites In Ovarian Cancer, Kyoko Yoshida-Court, Tatiana V Karpinets, Aparna Mitra, Travis N Solley, Stephanie Dorta-Estremera, Travis T Sims, Andrea Y Delgado Medrano, Molly B El Alam, Mustapha Ahmed-Kaddar, Erica J Lynn, K Jagannadha Sastry, Jianhua Zhang, Andrew Futreal, Alpa Nick, Karen Lu, Lauren E Colbert, Ann H Klopp

Faculty, Staff and Student Publications

We evaluated the association of disease outcome with T cell immune-related characteristics and T cell receptor (TCR) repertoire in malignant ascites from patients with high-grade epithelial ovarian cancer. Ascitic fluid samples were collected from 47 high-grade epithelial ovarian cancer patients and analyzed using flow cytometry and TCR sequencing to characterize the complementarity determining region 3 TCR β-chain. TCR functions were analyzed using the McPAS-TCR and VDJ databases. TCR clustering was implemented using Grouping of Lymphocyte Interactions by Paratope Hotspots software. Patients with poor prognosis had ascites characterized by an increased ratio of CD8+ T cells to regulatory T cells, which …

Civicdb 2022: Evolution Of An Open-Access Cancer Variant Interpretation Knowledgebase, Kilannin Krysiak, Arpad M Danos, Jason Saliba, Joshua F Mcmichael, Adam C Coffman, Susanna Kiwala, Erica K Barnell, Lana Sheta, Cameron J Grisdale, Lynzey Kujan, Shahil Pema, Jake Lever, Sarah Ridd, Nicholas C Spies, Veronica Andric, Andreea Chiorean, Damian T Rieke, Kaitlin A Clark, Caralyn Reisle, Ajay C Venigalla, Mark Evans, Payal Jani, Hideaki Takahashi, Avila Suda, Peter Horak, Deborah I Ritter, Xin Zhou, Benjamin J Ainscough, Sean Delong, Chimene Kesserwan, Mario Lamping, Haolin Shen, Alex R Marr, My H Hoang, Kartik Singhal, Mariam Khanfar, Brian V Li, Wan-Hsin Lin, Panieh Terraf, Laura B Corson, Yasser Salama, Katie M Campbell, Kirsten M Farncombe, Jianling Ji, Xiaonan Zhao, Xinjie Xu, Rashmi Kanagal-Shamanna, Ian King, Kelsy C Cotto, Zachary L Skidmore, Jason R Walker, Jinghui Zhang, Aleksandar Milosavljevic, Ronak Y Patel, Rachel H Giles, Raymond H Kim, Lynn M Schriml, Elaine R Mardis, Steven J M Jones, Gordana Raca, Shruti Rao, Subha Madhavan, Alex H Wagner, Malachi Griffith, Obi L Griffith

Faculty, Staff and Students Publications

CIViC (Clinical Interpretation of Variants in Cancer; civicdb.org) is a crowd-sourced, public domain knowledgebase composed of literature-derived evidence characterizing the clinical utility of cancer variants. As clinical sequencing becomes more prevalent in cancer management, the need for cancer variant interpretation has grown beyond the capability of any single institution. CIViC contains peer-reviewed, published literature curated and expertly-moderated into structured data units (Evidence Items) that can be accessed globally and in real time, reducing barriers to clinical variant knowledge sharing. We have extended CIViC's functionality to support emergent variant interpretation guidelines, increase interoperability with other variant resources, and promote widespread dissemination …

Chronic Conditions, Late Mortality, And Health Status After Childhood Aml: A Childhood Cancer Survivor Study Report, Lucie M Turcotte, Jillian A Whitton, Wendy M Leisenring, Rebecca M Howell, Joseph P Neglia, Rachel Phelan, Kevin C Oeffinger, Kirsten K Ness, William G Woods, E Anders Kolb, Leslie L Robison, Gregory T Armstrong, Eric J Chow

Faculty, Staff and Student Publications

Five-year survival following childhood acute myeloid leukemia (AML) has increased following improvements in treatment and supportive care. Long-term health outcomes are unknown. To address this, cumulative incidence of late mortality and grades 3 to 5 chronic health condition (CHC) were estimated among 5-year AML survivors diagnosed between 1970 and 1999. Survivors were compared by treatment group (hematopoietic cell transplantation [HCT], chemotherapy with cranial radiation [chemo + CRT], chemotherapy only [chemo-only]), and diagnosis decade. Self-reported health status was compared across treatments, diagnosis decade, and with siblings. Among 856 survivors (median diagnosis age, 7.1 years; median age at last follow-up, 29.4 years), …

Rare Eif4a2 Variants Are Associated With A Neurodevelopmental Disorder Characterized By Intellectual Disability, Hypotonia, And Epilepsy, Maimuna S Paul, Anna R Duncan, Casie A Genetti, Hongling Pan, Adam Jackson, Patricia E Grant, Jiahai Shi, Michele Pinelli, Nicola Brunetti-Pierri, Alexandra Garza-Flores, Dave Shahani, Russell P Saneto, Giuseppe Zampino, Chiara Leoni, Emanuele Agolini, Antonio Novelli, Ulrike Blümlein, Tobias B Haack, Wolfram Heinritz, Eva Matzker, Bader Alhaddad, Rami Abou Jamra, Tobias Bartolomaeus, Saber Alhamdan, Raphael Carapito, Bertrand Isidor, Seiamak Bahram, Alyssa Ritter, Kosuke Izumi, Ben Pode Shakked, Ortal Barel, Bruria Ben Zeev, Amber Begtrup, Deanna Alexis Carere, Sureni V Mullegama, Timothy Blake Palculict, Daniel G Calame, Katharina Schwan, Alicia R P Aycinena, Rasa Traberg, Genomics England Research Consortium, Sofia Douzgou, Harrison Pirt, Naila Ismayilova, Siddharth Banka, Hsiao-Tuan Chao, Pankaj B Agrawal

Faculty, Staff and Students Publications

Eukaryotic initiation factor-4A2 (EIF4A2) is an ATP-dependent RNA helicase and a member of the DEAD-box protein family that recognizes the 5' cap structure of mRNAs, allows mRNA to bind to the ribosome, and plays an important role in microRNA-regulated gene repression. Here, we report on 15 individuals from 14 families presenting with global developmental delay, intellectual disability, hypotonia, epilepsy, and structural brain anomalies, all of whom have extremely rare de novo mono-allelic or inherited bi-allelic variants in EIF4A2. Neurodegeneration was predominantly reported in individuals with bi-allelic variants. Molecular modeling predicts these variants would perturb structural interactions in key protein domains. …

Phase I Dose Escalation Study Of Topical Bexarotene In Women At High Risk For Breast Cancer, Parijatham S Thomas, Anisha B Patel, J Jack Lee, Diane D Liu, Mike Hernandez, Miguel Muzzio, Alejandro Contreras, Valerie Sepeda, Carrie Mays, Diane Weber, Lana A Vornik, Seema A Khan, Eileen Dimond, Brandy M Heckman-Stoddard, Marjorie Perloff, Powel H Brown

Faculty, Staff and Student Publications

Bexarotene is a rexinoid that has been shown to prevent mammary tumors in mouse models but oral dosing has toxicities. This phase I study evaluates topical bexarotene, as a potential chemoprevention agent, for safety and toxicity in high-risk women for breast cancer.

Molecular Mechanisms And Future Implications Of Vegf/Vegfr In Cancer Therapy, Sonia A Patel, Monique B Nilsson, Xiuning Le, Tina Cascone, Rakesh K Jain, John V Heymach

Faculty, Staff and Student Publications

Angiogenesis, the sprouting of new blood vessels from existing vessels, is one of six known mechanisms employed by solid tumors to recruit blood vessels necessary for their initiation, growth, and metastatic spread. The vascular network within the tumor facilitates the transport of nutrients, oxygen, and immune cells and is regulated by pro- and anti-angiogenic factors. Nearly four decades ago, VEGF was identified as a critical factor promoting vascular permeability and angiogenesis, followed by identification of VEGF family ligands and their receptors (VEGFR). Since then, over a dozen drugs targeting the VEGF/VEGFR pathway have been approved for approximately 20 solid tumor …

Obesity Is Associated With Altered Tumor Metabolism In Metastatic Melanoma, Andrew W Hahn, Ashley V Menk, Dayana B Rivadeneira, Ryan C Augustin, Mingchu Xu, Jun Li, Xiaogang Wu, Aditya K Mishra, Tuba N Gide, Camelia Quek, Yan Zang, Christine N Spencer, Alexander M Menzies, Carrie R Daniel, Courtney W Hudgens, Theodore Nowicki, Lauren E Haydu, M A Wadud Khan, Vancheswaran Gopalakrishnan, Elizabeth M Burton, Jared Malke, Julie M Simon, Chantale Bernatchez, Nagireddy Putluri, Scott E Woodman, Y N Vashisht Gopal, Renato Guerrieri, Grant M Fischer, Jian Wang, Khalida M Wani, John F Thompson, Jeffrey E Lee, Patrick Hwu, Nadim Ajami, Jeffrey E Gershenwald, Georgina V Long, Richard A Scolyer, Michael T Tetzlaff, Alexander J Lazar, Dirk Schadendorf, Jennifer A Wargo, John M Kirkwood, Ralph J Deberardinis, Han Liang, Andrew Futreal, Jianhua Zhang, James S Wilmott, Weiyi Peng, Michael A Davies, Greg M Delgoffe, Yana G Najjar, Jennifer L Mcquade

Faculty, Staff and Student Publications

PURPOSE: Overweight/obese (OW/OB) patients with metastatic melanoma unexpectedly have improved outcomes with immune checkpoint inhibitors (ICI) and BRAF-targeted therapies. The mechanism(s) underlying this association remain unclear, thus we assessed the integrated molecular, metabolic, and immune profile of tumors, as well as gut microbiome features, for associations with patient body mass index (BMI).

EXPERIMENTAL DESIGN: Associations between BMI [normal (NL < 25) or OW/OB (BMI ≥ 25)] and tumor or microbiome characteristics were examined in specimens from 782 patients with metastatic melanoma across 7 cohorts. DNA associations were evaluated in The Cancer Genome Atlas cohort. RNA sequencing from 4 cohorts (n = 357) was batch corrected and gene set enrichment analysis (GSEA) by BMI category was performed. Metabolic profiling was conducted in a subset of patients (x = 36) by LC/MS, and in flow-sorted melanoma tumor cells (x = 37) and patient-derived melanoma cell lines (x = 17) using the Seahorse XF assay. Gut microbiome features were examined in an independent cohort (n = 371).

RESULTS: DNA mutations and copy number variations were not associated with BMI. GSEA demonstrated that tumors from OW/OB patients were metabolically quiescent, with downregulation of oxidative phosphorylation and multiple other metabolic pathways. Direct metabolite analysis and functional metabolic profiling confirmed decreased …

Single-Cell Multi-Omics Integration For Unpaired Data By A Siamese Network With Graph-Based Contrastive Loss, Chaozhong Liu, Linhua Wang, Zhandong Liu

Faculty, Staff and Students Publications

BACKGROUND: Single-cell omics technology is rapidly developing to measure the epigenome, genome, and transcriptome across a range of cell types. However, it is still challenging to integrate omics data from different modalities. Here, we propose a variation of the Siamese neural network framework called MinNet, which is trained to integrate multi-omics data on the single-cell resolution by using graph-based contrastive loss.

RESULTS: By training the model and testing it on several benchmark datasets, we showed its accuracy and generalizability in integrating scRNA-seq with scATAC-seq, and scRNA-seq with epitope data. Further evaluation demonstrated our model's unique ability to remove the batch …

Silicone Gel Sheeting For Treating Keloid Scars, Fan Tian, Qingling Jiang, Junjie Chen, Zhenmi Liu

Faculty, Staff and Student Publications

BACKGROUND: Keloid scarring is one of the most common types of pathological scarring. Keloid scars that fail to heal can affect a person's physical and psychological function by causing pain, pruritus, contractures, and cosmetic disfigurement. Silicone gel sheeting (SGS) is made from medical-grade silicone reinforced with a silicone membrane backing and is one of the most commonly used treatments for keloid scars. However, there is no up-to-date systematic review assessing the effectiveness of SGS for keloid scars. A clear and rigorous review of current evidence is required to guide clinicians, healthcare managers and people with keloid scarring.

OBJECTIVES: To assess …

Radiation Therapy For Retroperitoneal Sarcomas: A Strass-Ful Situation, Ahsan S Farooqi, B Ashleigh Guadagnolo, Devarati Mitra, Andrew J Bishop

Faculty, Staff and Student Publications

Locoregional recurrence (LRR) is the predominant pattern of relapse and often the cause of death in patients with retroperitoneal sarcomas (RPS). As a result, reducing LRR is a critical objective for RPS patients. However, unlike soft tissue sarcomas (STS) of the superficial trunk and extremity where the benefits of radiation therapy (RT) are well-established, the role of RT in the retroperitoneum remains controversial. Historically, preoperative or postoperative RT, either alone or in combination with intraoperative radiation (IORT), was commonly justified for RPS based on extrapolation from the superficial trunk and extremity STS literature. However, long-awaited results were recently published from …

Vista Targeting Of T-Cell Quiescence And Myeloid Suppression Overcomes Adaptive Resistance, Evelien Schaafsma, Walburga Croteau, Mohamed Eltanbouly, Elizabeth C Nowak, Nicole C Smits, Jie Deng, Aurelien Sarde, Cecilia A Webber, Dina Rabadi, Chao Cheng, Randolph Noelle, J Louise Lines

Faculty, Staff and Students Publications

VISTA is a premier target for cancer treatment due to its broad expression in many cancer types and enhanced expression upon development of adaptive immune checkpoint resistance. In the CT26 colorectal cancer model, monotherapy of small tumors with anti-VISTA resulted in slowed tumor growth. In a combination therapy setting, large CT26 tumors showed complete adaptive resistance to anti-PD-1/CTLA-4, but inclusion of anti-VISTA led to rejection of half the tumors. Mechanisms of enhanced anti-tumor immunity were investigated using scRNA-seq, multiplex image analysis and flow cytometry of the tumor immune infiltrate. In both treatment models, anti-VISTA upregulated stimulated antigen-presentation pathways and reduced …

Revision Of The Melanocytic Pathology Assessment Tool And Hierarchy For Diagnosis Classification Schema For Melanocytic Lesions: A Consensus Statement, Raymond L Barnhill, David E Elder, Michael W Piepkorn, Stevan R Knezevich, Lisa M Reisch, Megan M Eguchi, Boris C Bastian, Willeke Blokx, Marcus Bosenberg, Klaus J Busam, Richard Carr, Alistair Cochran, Martin G Cook, Lyn M Duncan, Rosalie Elenitsas, Arnaud De La Fouchardière, Pedram Gerami, Iva Johansson, Jennifer Ko, Gilles Landman, Alexander J Lazar, Lori Lowe, Daniela Massi, Jane Messina, Daniela Mihic-Probst, Douglas C Parker, Birgitta Schmidt, Christopher R Shea, Richard A Scolyer, Michael Tetzlaff, Xiaowei Xu, Iwei Yeh, Artur Zembowicz, Joann G Elmore

Faculty, Staff and Student Publications

Importance: A standardized pathology classification system for melanocytic lesions is needed to aid both pathologists and clinicians in cataloging currently existing diverse terminologies and in the diagnosis and treatment of patients. The Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis (MPATH-Dx) has been developed for this purpose.

Objective: To revise the MPATH-Dx version 1.0 classification tool, using feedback from dermatopathologists participating in the National Institutes of Health-funded Reducing Errors in Melanocytic Interpretations (REMI) Study and from members of the International Melanoma Pathology Study Group (IMPSG).

Evidence review: Practicing dermatopathologists recruited from 40 US states participated in the 2-year REMI study …

Inhibiting Androgen Receptor Splice Variants With Cysteine-Selective Irreversible Covalent Inhibitors To Treat Prostate Cancer, Thirumagal Thiyagarajan, Suriyan Ponnusamy, Dong-Jin Hwang, Yali He, Sarah Asemota, Kirsten L Young, Daniel L Johnson, Vera Bocharova, Weidong Zhou, Abhinav K Jain, Emanuel F Petricoin, Zheng Yin, Lawrence M Pfeffer, Duane D Miller, Ramesh Narayanan

Faculty, Staff and Student Publications

Androgen receptor (AR) and its splice variants (AR-SVs) promote prostate cancer (PCa) growth by orchestrating transcriptional reprogramming. Mechanisms by which the low complexity and intrinsically disordered primary transactivation domain (AF-1) of AR and AR-SVs regulate transcriptional programming in PCa remains poorly defined. Using omics, live and fixed fluorescent microscopy of cells, and purified AF-1 and AR-V7 recombinant proteins we show here that AF-1 and the AR-V7 splice variant form molecular condensates by liquid-liquid phase separation (LLPS) that exhibit disorder characteristics such as rapid intracellular mobility, coactivator interaction, and euchromatin induction. The LLPS and other disorder characteristics were reversed by a …

Subtype And Site Specific-Induced Metabolic Vulnerabilities In Prostate Cancer, Federica Mossa, Daniele Robesti, Ramachandran Sumankalai, Eva Corey, Mark Titus, Yuqi Kang, Jianhua Zhang, Alberto Briganti, Francesco Montorsi, Christopher P Vellano, Joseph R Marszalek, Daniel E Frigo, Christopher J Logothetis, Taranjit S Gujral, Eleonora Dondossola

Faculty, Staff and Student Publications

Aberrant metabolic functions play a crucial role in prostate cancer progression and lethality. Currently, limited knowledge is available on subtype-specific metabolic features and their implications for treatment. We therefore investigated the metabolic determinants of the two major subtypes of castration-resistant prostate cancer [androgen receptor-expressing prostate cancer (ARPC) and aggressive variant prostate cancer (AVPC)]. Transcriptomic analyses revealed enrichment of gene sets involved in oxidative phosphorylation (OXPHOS) in ARPC tumor samples compared with AVPC. Unbiased screening of metabolic signaling pathways in patient-derived xenograft models by proteomic analyses further supported an enrichment of OXPHOS in ARPC compared with AVPC, and a skewing toward …

Evaluation Of Proton Therapy Reirradiation For Patients With Recurrent Head And Neck Squamous Cell Carcinoma, Anna Lee, Robbie Woods, Amgad Mahfouz, Sarin Kitpanit, Olivia Cartano, Nader Mohamed, Irini Youssef, Kathryn Marqueen, Kevin Sine, Dennis Mah, Brian Neal, Kaveh Zakeri, Jung J Kang, Nadeem Riaz, Yao Yu, Sean M Mcbride, Linda D Chen, C Jillian Tsai, Daphna Y Gelblum, Robert H Press, Loren S Michel, Eric J Sherman, David Pfister, Lara A Dunn, Alan L Ho, James Fetten, Richard J Wong, Jay O Boyle, Bhuvanesh Singh, Jennifer R Cracchiolo, Ian Ganly, Marc A Cohen, Nancy Y Lee

Faculty, Staff and Student Publications

Importance: Use of proton therapy reirradiation (PT-ReRT) for head and neck cancer is increasing; however, reports are heterogenous and outcomes can be difficult to interpret.

Objective: To evaluate outcomes and toxic effects following PT-ReRT in a uniform and consecutive cohort of patients with head and neck squamous cell carcinoma.

Design, setting, and participants: This retrospective cohort study included patients with recurrent primary head and neck squamous cell carcinoma who were treated with PT-ReRT from January 1, 2013, to December 31, 2020, at a single institution. Patient, clinical, and treatment characteristics were obtained, and multidisciplinary review was performed to record and …

Use Gpt-J Prompt Generation With Roberta For Ner Models On Diagnosis Extraction Of Periodontal Diagnosis From Electronic Dental Records, Yao-Shun Chuang, Xiaoqian Jiang, Chun-Teh Lee, Ryan Brandon, Duong Tran, Oluwabunmi Tokede, Muhammad F Walji

Faculty, Staff and Student Publications

This study explored the usability of prompt generation on named entity recognition (NER) tasks and the performance in different settings of the prompt. The prompt generation by GPT-J models was utilized to directly test the gold standard as well as to generate the seed and further fed to the RoBERTa model with the spaCy package. In the direct test, a lower ratio of negative examples with higher numbers of examples in prompt achieved the best results with a F1 score of 0.72. The performance revealed consistency, 0.92-0.97 in the F1 score, in all settings after training with the RoBERTa model. …

Towards Fair Patient-Trial Matching Via Patient-Criterion Level Fairness Constraint, Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, Na Zou

Faculty, Staff and Student Publications

Clinical trials are indispensable in developing new treatments, but they face obstacles in patient recruitment and retention, hindering the enrollment of necessary participants. To tackle these challenges, deep learning frameworks have been created to match patients to trials. These frameworks calculate the similarity between patients and clinical trial eligibility criteria, considering the discrepancy between inclusion and exclusion criteria. Recent studies have shown that these frameworks outperform earlier approaches. However, deep learning models may raise fairness issues in patient-trial matching when certain sensitive groups of individuals are underrepresented in clinical trials, leading to incomplete or inaccurate data and potential harm. To …

The Kynurenine Pathway In Alzheimer’S Disease: A Meta-Analysis Of Central And Peripheral Levels, Brisa S Fernandes, Mehmet Enes Inam, Nitesh Enduru, Joao Quevedo, Zhongming Zhao

Faculty, Staff and Student Publications

OBJECTIVE: Changes in the kynurenine pathway are recognized in psychiatric disorders, but their role in Alzheimer's disease (AD) is less clear. We aimed to conduct a systematic review and meta-analysis to determine whether tryptophan and kynurenine pathway metabolites are altered in AD.

METHODS: We performed a systematic review and random-effects meta-analyses. Inclusion criteria were studies that compared AD and cognitively normal (CN) groups and assessed tryptophan or kynurenine pathway metabolites in cerebrospinal fluid or peripheral blood.

RESULTS: Twenty-two studies with a total of 1,356 participants (664 with AD and 692 CN individuals) were included. Tryptophan was decreased only in peripheral …

Architectural Design Of A Blockchain-Enabled, Federated Learning Platform For Algorithmic Fairness In Predictive Health Care: Design Science Study, Xueping Liang, Juan Zhao, Yan Chen, Eranga Bandara, Sachin Shetty

VMASC Publications

Background: Developing effective and generalizable predictive models is critical for disease prediction and clinical decision-making, often requiring diverse samples to mitigate population bias and address algorithmic fairness. However, a major challenge is to retrieve learning models across multiple institutions without bringing in local biases and inequity, while preserving individual patients' privacy at each site.

Objective: This study aims to understand the issues of bias and fairness in the machine learning process used in the predictive health care domain. We proposed a software architecture that integrates federated learning and blockchain to improve fairness, while maintaining acceptable prediction accuracy and minimizing overhead …

The Short- And Long-Term Readmission Of Four Major Categories Of Digestive System Cancers: Does Obesity Or Metabolic Disorder Matter?, Yan Li, Xiaoqin Wu, Yongfeng Song, Peipei Wang, Bofei Zhang, Bingzhou Guo, Ziwei Liu, Yafei Wu, Shanshan Shao, Yiping Cheng, Honglin Guo, Xiude Fan, Jiajun Zhao

Faculty, Staff and Student Publications

Purpose: Patients with digestive system cancers (DSCs) are at a high risk for hospitalizations; however, the risk factors for readmission remain unknown. Here, we established a retrospective cohort study to assess the association between metabolic obesity phenotypes and readmission risks of DSC.

Experimental design: A total of 142,753 and 74,566 patients at index hospitalization were ultimately selected from the Nationwide Readmissions Database (NRD) 2018 to establish the 30-day and 180-day readmission cohorts, respectively. The study population was classified into four groups: metabolically healthy non-obese (MHNO), metabolically healthy obese (MHO), metabolically unhealthy non-obese (MUNO), and metabolically unhealthy obese (MUO). Multivariate Cox …

Integrated Clinical Genotype-Phenotype Characteristics Of Early T-Cell Precursor Acute Lymphoblastic Leukemia, Matthew T Ye, Yi Wang, Zhuang Zuo, Steliana Calin, Hua He, Zhenya Tang, Elias J Jabbour, Gautam Borthakur, Yizhuo Zhang, Yaling Yang, M James You

Faculty, Staff and Student Publications

Background: Early T-cell precursor acute lymphoblastic leukemia (ETP-ALL) is a distinct subtype of T-ALL with a unique immunophenotype and high treatment failure rate. The molecular genetic abnormalities and their prognostic impact in ETP-ALL patients are poorly understood.

Methods: The authors performed systematic analyses of the clinicopathologic features with an emphasis on molecular genetic aspects of 32 patients with ETP-ALL.

Results: The median age was 43 years (range, 16-71). The blasts were positive for cytoplasmic CD3 and CD7 and negative for CD1a and CD8. Other markers expressed included CD34 (88%), CD33 (72%), CD117 (68%), CD13 (58%), CD5 (partial, 56%), CD2 (38%), …

Ribonuclease 1 Enhances Antitumor Immunity Against Breast Cancer By Boosting T Cell Activation, Ying-Nai Wang, Heng-Huan Lee, Zhou Jiang, Li-Chuan Chan, Gabriel N Hortobagyi, Dihua Yu, Mien-Chie Hung

Faculty, Staff and Student Publications

The secretory enzyme human ribonuclease 1 (RNase1) is involved in innate immunity and anti-inflammation, achieving host defense and anti-cancer effects; however, whether RNase1 contributes to adaptive immune response in the tumor microenvironment (TME) remains unclear. Here, we established a syngeneic immunocompetent mouse model in breast cancer and demonstrated that ectopic RNase1 expression significantly inhibited tumor progression. Overall changes in immunological profiles in the mouse tumors were analyzed by mass cytometry and showed that the RNase1-expressing tumor cells significantly induced CD4+ Th1 and Th17 cells and natural killer cells and reduced granulocytic myeloid-derived suppressor cells, supporting that RNase1 favors an antitumor …

Naproxen Chemoprevention Induces Proliferation Of Cytotoxic Lymphocytes In Lynch Syndrome Colorectal Mucosa, Charles M Bowen, Nan Deng, Laura Reyes-Uribe, Edwin Roger Parra, Pedro Rocha, Luisa M Solis, Ignacio I Wistuba, Valerie O Sepeda, Lana Vornik, Marjorie Perloff, Eva Szabo, Asad Umar, Krishna M Sinha, Powel H Brown, Eduardo Vilar

Faculty, Staff and Student Publications

BACKGROUND: Recent clinical trial data from Lynch Syndrome (LS) carriers demonstrated that naproxen administered for 6-months is a safe primary chemoprevention that promotes activation of different resident immune cell types without increasing lymphoid cellularity. While intriguing, the precise immune cell types enriched by naproxen remained unanswered. Here, we have utilized cutting-edge technology to elucidate the immune cell types activated by naproxen in mucosal tissue of LS patients.

METHODS: Normal colorectal mucosa samples (pre- and post-treatment) from a subset of patients enrolled in the randomized and placebo-controlled 'Naproxen Study' were obtained and subjected to a tissue microarray for image mass cytometry …

Distinct Patterns Of Auto-Reactive Antibodies Associated With Organ-Specific Immune-Related Adverse Events, Mehmet Altan, Quan-Zhen Li, Qi Wang, Natalie I Vokes, Ajay Sheshadri, Jianjun Gao, Chengsong Zhu, Hai T Tran, Saumil Gandhi, Mara B Antonoff, Stephen Swisher, Jing Wang, Lauren A Byers, Noha Abdel-Wahab, Maria C Franco-Vega, Yinghong Wang, J Jack Lee, Jianjun Zhang, John V Heymach

Faculty, Staff and Student Publications

UNLABELLED: The roles of preexisting auto-reactive antibodies in immune-related adverse events (irAEs) associated with immune checkpoint inhibitor therapy are not well defined. Here, we analyzed plasma samples longitudinally collected at predefined time points and at the time of irAEs from 58 patients with immunotherapy naïve metastatic non-small cell lung cancer treated on clinical protocol with ipilimumab and nivolumab. We used a proteomic microarray system capable of assaying antibody reactivity for IgG and IgM fractions against 120 antigens for systemically evaluating the correlations between auto-reactive antibodies and certain organ-specific irAEs. We found that distinct patterns of auto-reactive antibodies at baseline were …

Sensitive Data Detection With High-Throughput Machine Learning Models In Electrical Health Records, Kai Zhang, Xiaoqian Jiang

Faculty, Staff and Student Publications

In the era of big data, there is an increasing need for healthcare providers, communities, and researchers to share data and collaborate to improve health outcomes, generate valuable insights, and advance research. The Health Insurance Portability and Accountability Act of 1996 (HIPAA) is a federal law designed to protect sensitive health information by defining regulations for protected health information (PHI). However, it does not provide efficient tools for detecting or removing PHI before data sharing. One of the challenges in this area of research is the heterogeneous nature of PHI fields in data across different parties. This variability makes rule-based …