Biomedical Informatics Commons^™

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 …

Human Generation Times Across The Past 250,000 Years, Richard J Wang, Samer I Al-Saffar, Jeffrey Rogers, Matthew W Hahn

Faculty, Staff and Students Publications

The generation times of our recent ancestors can tell us about both the biology and social organization of prehistoric humans, placing human evolution on an absolute time scale. We present a method for predicting historical male and female generation times based on changes in the mutation spectrum. Our analyses of whole-genome data reveal an average generation time of 26.9 years across the past 250,000 years, with fathers consistently older (30.7 years) than mothers (23.2 years). Shifts in sex-averaged generation times have been driven primarily by changes to the age of paternity, although we report a substantial increase in female generation …

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.

Treatment Strategies And Mechanisms Associated With The Prevention Of Nash-Associated Hcc By A Toll-Like Receptor 4 Inhibitor, Suet-Ying Kwan, Alyssa N Slayden, Aubrey R Coronado, Rosamaria C Marquez, Huiqin Chen, Peng Wei, Michelle I Savage, Lana A Vornik, Jennifer T Fox, Shizuko Sei, Dong Liang, Heather L Stevenson, Gregory K Wilkerson, Mihai Gagea, Powel H Brown, Laura Beretta

Faculty, Staff and Student Publications

UNLABELLED: We evaluated the cancer preventive efficacy of TAK-242, an inhibitor of Toll-like receptor 4 (TLR4), in a mouse model of hepatocellular carcinoma (HCC) occurring in the context of nonalcoholic steatohepatitis (NASH). We also assessed the cellular events associated with the preventive treatment efficacy. We tested oral administration of TAK-242, at clinically relevant but toxicity-reducing doses and scheduling, in mice with hepatocyte-specific deletion of Pten (HepPten-). The optimal dose and oral gavage formulation of TAK-242 were determined to be 30 mg/kg in 5% DMSO in 30% 2-hydroxypropyl-β-cyclodextrin. Daily oral administration of 30 mg/kg TAK-242 over 18 weeks was well tolerated …

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 …

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 …

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 …

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 …

Microenvironmental Ammonia Enhances T Cell Exhaustion In Colorectal Cancer, Hannah N Bell, Amanda K Huber, Rashi Singhal, Navyateja Korimerla, Ryan J Rebernick, Roshan Kumar, Marwa O El-Derany, Peter Sajjakulnukit, Nupur K Das, Samuel A Kerk, Sumeet Solanki, Jadyn G James, Donghwan Kim, Li Zhang, Brandon Chen, Rohit Mehra, Timothy L Frankel, Balázs Győrffy, Eric R Fearon, Marina Pasca Di Magliano, Frank J Gonzalez, Ruma Banerjee, Daniel R Wahl, Costas A Lyssiotis, Michael Green, Yatrik M Shah

Faculty, Staff and Student Publications

Effective therapies are lacking for patients with advanced colorectal cancer (CRC). The CRC tumor microenvironment has elevated metabolic waste products due to altered metabolism and proximity to the microbiota. The role of metabolite waste in tumor development, progression, and treatment resistance is unclear. We generated an autochthonous metastatic mouse model of CRC and used unbiased multi-omic analyses to reveal a robust accumulation of tumoral ammonia. The high ammonia levels induce T cell metabolic reprogramming, increase exhaustion, and decrease proliferation. CRC patients have increased serum ammonia, and the ammonia-related gene signature correlates with altered T cell response, adverse patient outcomes, and …

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 …

Follistatin Regulates The Specification Of The Apical Cochlea Responsible For Low-Frequency Hearing In Mammals, Hei Yeun Koo, Min-A Kim, Hyehyun Min, Jae Yeon Hwang, Meenakshi Prajapati-Dinubila, Kwan Soo Kim, Martin M Matzuk, Juw Won Park, Angelika Doetzlhofer, Un-Kyung Kim, Jinwoong Bok

Faculty, Staff and Students Publications

The cochlea's ability to discriminate sound frequencies is facilitated by a special topography along its longitudinal axis known as tonotopy. Auditory hair cells located at the base of the cochlea respond to high-frequency sounds, whereas hair cells at the apex respond to lower frequencies. Gradual changes in morphological and physiological features along the length of the cochlea determine each region's frequency selectivity, but it remains unclear how tonotopy is established during cochlear development. Recently, sonic hedgehog (SHH) was proposed to initiate the establishment of tonotopy by conferring regional identity to the primordial cochlea. Here, using mouse genetics, we provide in …

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 …

Antisense Oligonucleotide Therapy Rescues Disturbed Brain Rhythms And Sleep In Juvenile And Adult Mouse Models Of Angelman Syndrome, Dongwon Lee, Wu Chen, Heet Naresh Kaku, Xinming Zhuo, Eugene S Chao, Armand Soriano, Allen Kuncheria, Stephanie Flores, Joo Hyun Kim, Armando Rivera, Frank Rigo, Paymaan Jafar-Nejad, Arthur L Beaudet, Matthew S Caudill, Mingshan Xue

Faculty, Staff and Students Publications

UBE3A encodes ubiquitin protein ligase E3A, and in neurons its expression from the paternal allele is repressed by the UBE3A antisense transcript (UBE3A-ATS). This leaves neurons susceptible to loss-of-function of maternal UBE3A. Indeed, Angelman syndrome, a severe neurodevelopmental disorder, is caused by maternal UBE3A deficiency. A promising therapeutic approach to treating Angelman syndrome is to reactivate the intact paternal UBE3A by suppressing UBE3A-ATS. Prior studies show that many neurological phenotypes of maternal Ube3a knockout mice can only be rescued by reinstating Ube3a expression in early development, indicating a restricted therapeutic window for Angelman syndrome. Here, we …

Mitochondrial Dysfunction Reactivates Α-Fetoprotein Expression That Drives Copper-Dependent Immunosuppression In Mitochondrial Disease Models, Kimberly A Jett, Zakery N Baker, Amzad Hossain, Aren Boulet, Paul A Cobine, Sagnika Ghosh, Philip Ng, Orhan Yilmaz, Kris Barreto, John Decoteau, Karen Mochoruk, George N Ioannou, Christopher Savard, Sai Yuan, Osama Hmh Abdalla, Christopher Lowden, Byung-Eun Kim, Hai-Ying Mary Cheng, Brendan J Battersby, Vishal M Gohil, Scot C Leary

Faculty, Staff and Students Publications

Signaling circuits crucial to systemic physiology are widespread, yet uncovering their molecular underpinnings remains a barrier to understanding the etiology of many metabolic disorders. Here, we identified a copper-linked signaling circuit activated by disruption of mitochondrial function in the murine liver or heart that resulted in atrophy of the spleen and thymus and caused a peripheral white blood cell deficiency. We demonstrated that the leukopenia was caused by α-fetoprotein, which required copper and the cell surface receptor CCR5 to promote white blood cell death. We further showed that α-fetoprotein expression was upregulated in several cell types upon inhibition of oxidative …

A Query Engine For Self-Controlled Case Series, With An Application To Covid-19 Ehr Data, Xiaojin Li, Yan Huang, Licong Cui, Guo-Qiang Zhang

Faculty, Staff and Student Publications

Self-controlled case series (SCCS) is a statistical method in epidemiological study design that uses individuals as their own controls, with comparisons made within the same individuals at different time points of observation. SCCS has been applied in settings where it is difficult to identify comparison or control groups. To provide computational support for SCCS, we introduce a query engine called Self-Controlled Case Query (SCCQ) and use it to extract cohorts of self-controlled case series from a large-scale COVID-19 Electronic Health Records (EHR) dataset. Visual summary of the queried population through the R-Shiny visualization framework offers SCCQ's query result dashboard to …

Federated Learning Based Futuristic Biomedical Big-Data Analysis And Standardization, Afifa Salsabil Fathima, Syed Muzamil Basha, Syed Thouheed Ahmed, Sandeep Kumar Mathivanan, Sukumar Rajendran, Saurav Mallik, Zhongming Zhao

Faculty, Staff and Student Publications

Medical data processing and analytics exert significant influence in furnishing dependable decision support for prospective biomedical applications. Given the sensitive nature of medical data, specialized techniques and frameworks tailored for application-centric processing are imperative. This article presents a conceptualization for the analysis and uniformitarian of datasets through the implementation of Federated Learning (FL). The realm of medical big data stems from diverse origins, necessitating the delineation of data provenance and attribute paradigms to facilitate feature extraction and dependency assessment. The architecture governing the data collection framework is intricately linked to remote data transmission, thereby engendering efficient customization oversight. The operational …

Covidanno, Covid-19 Annotation In Human, Yuzhou Feng, Mengyuan Yang, Zhiwei Fan, Weiling Zhao, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiologic agent of coronavirus disease 19 (COVID-19), has caused a global health crisis. Despite ongoing efforts to treat patients, there is no universal prevention or cure available. One of the feasible approaches will be identifying the key genes from SARS-CoV-2-infected cells. SARS-CoV-2-infected in vitro model, allows easy control of the experimental conditions, obtaining reproducible results, and monitoring of infection progression. Currently, accumulating RNA-seq data from SARS-CoV-2 in vitro models urgently needs systematic translation and interpretation. To fill this gap, we built COVIDanno, COVID-19 annotation in humans, available at http://biomedbdc.wchscu.cn/COVIDanno/. The aim …

Syllable-Pbwt For Space-Efficient Haplotype Long-Match Query, Victor Wang, Ardalan Naseri, Shaojie Zhang, Degui Zhi

Faculty, Staff and Student Publications

MOTIVATION: The positional Burrows-Wheeler transform (PBWT) has led to tremendous strides in haplotype matching on biobank-scale data. For genetic genealogical search, PBWT-based methods have optimized the asymptotic runtime of finding long matches between a query haplotype and a predefined panel of haplotypes. However, to enable fast query searches, the full-sized panel and PBWT data structures must be kept in memory, preventing existing algorithms from scaling up to modern biobank panels consisting of millions of haplotypes. In this work, we propose a space-efficient variation of PBWT named Syllable-PBWT, which divides every haplotype into syllables, builds the PBWT positional prefix arrays on …

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 …

Automated Detection Of Hippocampal Sclerosis Using Real-World Clinical Mri Images, Jingwen Jiang, Jiajun Qiu, Jin Yin, Junren Wang, Xinyue Jiang, Zuo Yi, Yang Chen, Xiaobo Zhou, Xiutian Sima

Faculty, Staff and Student Publications

BACKGROUND: Hippocampal sclerosis (HS) is the most common pathological type of temporal lobe epilepsy (TLE) and one of the important surgical markers. Currently, HS is mainly diagnosed manually by radiologists based on visual inspection of MRI, which greatly relies on MRI quality and physician experience. In clinical practice, non-thin MRI scans are often used due to the time and efficiency needed for the acquisition. However, these scans can be difficult for junior physicians to interpret accurately. Thus, the rapid and accurate diagnosis of HS using real-world MRI images in clinical settings is a challenging task.

OBJECTIVE: Our aim was to …

Predictive Digital Twin For Optimizing Patient-Specific Radiotherapy Regimens Under Uncertainty In High-Grade Gliomas, Anirban Chaudhuri, Graham Pash, David A Hormuth, Guillermo Lorenzo, Michael Kapteyn, Chengyue Wu, Ernesto A B F Lima, Thomas E Yankeelov, Karen Willcox

Faculty, Staff and Student Publications

We develop a methodology to create data-driven predictive digital twins for optimal risk-aware clinical decision-making. We illustrate the methodology as an enabler for an anticipatory personalized treatment that accounts for uncertainties in the underlying tumor biology in high-grade gliomas, where heterogeneity in the response to standard-of-care (SOC) radiotherapy contributes to sub-optimal patient outcomes. The digital twin is initialized through prior distributions derived from population-level clinical data in the literature for a mechanistic model's parameters. Then the digital twin is personalized using Bayesian model calibration for assimilating patient-specific magnetic resonance imaging data. The calibrated digital twin is used to propose optimal …

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 …