Biomedical Informatics Commons^™

Conjunctival Melanoma Genomic Analysis Reveals Intermediate Tumor Mutation Burden And Genomic Overlap With Cutaneous Melanoma, Florentia Dimitriou, Xiaogang Wu, Priyadharsini Nagarajan, Isabella C Glitza, Li Zhao, Jing Ning, Sapna P Patel, Jennifer A Wargo, Andrew Futreal, Scott Woodman, Jennifer L Mcquade, Bita Esmaeli

Faculty, Staff and Student Publications

Conjunctival melanoma (CJM) is a rare and aggressive malignancy. Mainly attributed to its rarity, the genomic features of CJM have not been well characterized. In the present study, we sequenced the exomes of primary and metastatic CJM tumors with the aim to unravel their genomic landscape. The results of the study suggest that CJM is a molecularly distinct melanoma subtype with mixed genotype and targetable mutations. Notably, there were features overlapping with both mucosal, and mainly cutaneous melanoma. Of note, some genetic alterations were found in association with specific subsets of CJM, such as bulbar anatomical localization. CJM tumors had …

Accounting For Population Structure In Genomic Prediction Of Strawberry Sweetness At A Global Scale, Mulusew Fikere, Jason D Zurn, Sujeet Verma, Iraida Amaya, Pilar Muñoz, José F Sánchez-Sevilla, Helen M Cockerton, Richard J Harrison, Lise L Mahoney, Thomas M Davis, James F Hancock, Chad E Finn, Megan M Mathey, Jodi Neal, Hian-Lien Ko, Vance M Whitaker, Nahla V Bassil, Craig Hardner

Faculty, Staff and Student Publications

Genomic prediction models that fit multiple environments globally are valuable tools for assessing cultivar performance across diverse and variable growing conditions. We analyzed 2,064 strawberry (Fragaria × ananassa) accessions genotyped with 12,591 SNP markers. Soluble solids content (SSC) was measured in multi-year trials conducted at seven locations spanning the U.S., Europe, and Australia. Population structure analysis grouped accessions into two major clusters corresponding to subtropical and temperate origins, which was confirmed by significant differences in allele frequency distributions. To improve prediction accuracy across environments, we developed factor analytic models focusing on genotype-by-environment interactions rather than covariance between sub-populations. We compared …

Allergenai: A Deep Learning Model Predicting Allergenicity Based On Protein Sequence, Jiajia Liu, Surendra S Negi, Chengyuan Yang, Xiaobo Zhou, Catherine H Schein, Werner Braun, Pora Kim

Faculty, Staff and Student Publications

BACKGROUND: Innovations in protein engineering offer promising solutions for redesigning allergenic proteins to minimize adverse reactions in sensitive individuals. Earlier models for predicting allergenicity have relied on the knowledge of physicochemical properties and sequence homology to assess the potential risk. However, to better understand the allergenic proteins’ sequence features, we need a novel sequence-based deep learning model for predicting allergenicity.

RESULTS: We present a novel AI-based tool, AllergenAI, to quantify the allergenic potential of a protein’s sequence without using any other known features. Our study utilized allergenic protein sequence data archived in the three well-established databases, SDAP 2.0, COMPARE, and …

Using Machine Learning For Early Prediction Of In-Hospital Mortality During Icu Admission In Liver Cancer Patients, Zhuo Zheng, Jinhong Xia, Jiawei Luo, Lei Du, Xiaobo Zhou, Xiaoyan Yang, Yan Xia, Mengyao Liu, Shixin Huang

Faculty, Staff and Student Publications

Liver cancer has a high incidence and mortality rate globally, particularly in patients requiring intensive care unit (ICU) admission. Early prediction of in-hospital mortality for these patients is crucial, yet lacking reliable tools. This study aims to develop and evaluate machine learning (ML) models for predicting in-hospital mortality in critically ill liver cancer patients admitted to the ICU. This retrospective study used data from the MIMIC-III and MIMIC-IV databases, including 862 patients from MIMIC-III (training cohort) and 692 patients from MIMIC-IV (validation cohort). The study focused on patients diagnosed with liver cancer, identified by specific ICD codes. Four ML algorithms, …

Insights Into The Relevance Of Targeting Fibroblasts To Control Cancer, Viktoria Boeker, Raghu Kalluri

Faculty, Staff and Student Publications

Cancer-associated fibroblasts (CAFs) in the tumor microenvironment (TME) have garnered significant research attention in the last decade. As key stromal cells of the TME, studies have explored them as a potential target for controlling cancer. Using high-throughput technologies like single-cell RNA sequencing coupled with proteomics, the classification of different CAF subgroups reveals a complex system that varies by cancer type. Unraveling novel big data, potentially through AI platforms, will be key to identifying the role of CAFs in tumor progression and therapy escape mechanisms, enabling new therapies that manipulate CAFs to increase patients' survival. We summarize and discuss new developments …

Voices: Future Directions In Targeting The Tumor Microenvironment, Tanja De Gruijl, Catherine Sautès-Fridman, Daniela S Thommen, Michael A Curran

Faculty, Staff and Student Publications

What do you envision as the most promising future directions for therapeutic strategies aimed at modulating the tumor microenvironment?

Prognosis And Treatment Response Stratification According To Loss Of Proofreading (Lop), Giulia Maddalena, Fadl A Zeineddine, Saikat Chowdhury, Mohammad A Zeineddine, Abdelrahman M Yousef, Francesca Bergamo, Sara Lonardi, Timothy A Yap, Michael Geoffrey White, Michael J Overman, Scott Kopetz, John Paul Shen

Faculty, Staff and Student Publications

Background: Only a subset of polymerase epsilon (POLE) mutations is associated with hypermutant phenotype; we hypothesized that only loss-of-proofreading (LOP) POLE mutations are associated with favorable immunotherapy response.

Methods: This retrospective cohort study included a pan-cancer cohort of 69,223 patients from cBioPortal and a cohort of patients with 41 POLE mutant metastatic colorectal (CRC) treated with immunotherapy at the MD Anderson Cancer Center between January 2017 and May 2023. We evaluated prognosis according to POLE mutation functionality.

Results: In the pan-cancer cBioPortal cohort (n=69,223) POLE was mutated in 2.8% (1,965) of tumors; of these, only 7.5% (n=148) had …

Identification Of Therapeutic Targets For Renal Medullary Carcinoma Via Integrated Genomic And Transcriptomic Profiling, Pavlos Msaouel, Nizar M Tannir, Funda Meric-Bernstam, Jennifer M King, Martin H Voss, Jessica P Cheng, Susan S Thomas, Zita D Lim, Menuka Karki, Rong He, Giannicola Genovese, Rahul A Sheth, Davis R Ingram, Diana Shamsutdinova, Khalida M Wani, Wei-Lien Wang, Alexander J Lazar, Dominique Knipper-Davis, Amber Berlinski, Tayla Soares, Danil Stupichev, Kirill Kryukov, Suren Davitavyan, Anna Novokreshchenova, Dmitry Lebedev, Stanislav Kurpe, Andrey Kravets, Dmitrii Belousov, Michael Hensley, Alexander Bagaev, Francesca Paradiso, Vladimir Kushnarev

Faculty, Staff and Student Publications

Renal medullary carcinoma (RMC) is a rare but highly aggressive kidney cancer that resists conventional therapies. To identify therapeutic targets, this study employs histopathologic, genomic, and transcriptomic profiling of 25 RMC samples. TROP2, EPCAM, CLDN6, and CDH6 are significantly overexpressed compared with other renal and solid tumors. Pathway analyses indicate Hippo pathway upregulation and a tumor microenvironment rich in fibroblasts and neutrophils. We subsequently explore treatment of four heavily pretreated patients, all with high TROP2 expression, using sacituzumab govitecan, a TROP2-targeted antibody-drug conjugate. Of these four patients, one patient achieves a partial response with symptom improvement, two patients maintain stable …

Retinol Tracing Within Murine Neural Retina Reveals Cell Type-Specific Retinol Transport And Distribution, Zachary J Engfer, Grazyna Palczewska, Samuel W Du, Jianye Zhang, Zhiqian Dong, Carolline Rodrigues Menezes, Jun Wang, Jianming Shao, Budd A Tucker, Robert F Mullins, Rui Chen, Philip D Kiser, Krzysztof Palczewski

Faculty, Staff and Students Publications

11-cis-Retinal is essential for light perception in mammalian photoreceptors (PRs), and aberrations in retinoid transformations cause severe retinal diseases. Understanding these processes is crucial for combating blinding diseases. The visual cycle, operating within PRs and the retinal pigment epithelium (RPE), regenerates 11-cis-retinal to sustain light sensitivity. Retinoids are also present in Müller glia (MG), hypothesized to supply 11-cis-retinol to cone PRs and retinal ganglion cells (RGCs). To trace retinoid movement through retinal cell types, we used cell-specific knock-in of lecithin:retinol acyltransferase (LRAT), which converts retinols into stable retinyl esters (REs). Ectopic LRAT expression in murine PRs, MG, and RGCs resulted …

Autostent: A Semi-Automated Approach To Designing Customized 3d-Printed Oral Radiation Stents For Patients With Head And Neck Cancer, Anshuman Agrawal, Rance B Tino, Mohamed Zaid, Millicent Roach, Lianchun Xiao, Mark S Chambers, Anna Lee, Eugene J Koay

Faculty, Staff and Student Publications

Background: Oral stents may reduce toxicities during radiation therapy for head and neck cancer (HNC). Customized 3D-printed oral stents offer faster production and achieve comparable patient-reported outcomes to conventionally fabricated stents. However, their design process remains time-consuming, lacks standardization, and relies heavily on skilled technicians. We hypothesized that semi-automating the design process for 3D-printed, mouth-opening, tongue-depressing (MOTD) stents could standardize the design workflow and decrease design time.

Methods: Using oral stent design principles established over decades by oral oncologists, we created a customized computer program (Autostent) using MATLAB to semi-automate the design process of MOTD stents. We subsequently compared Autostent …

Multiomic Analysis Reveals A Key Bcat1 Role In Mtor Activation By B Cell Receptor And Tlr9, Rui Guo, Yizhe Sun, Matthew Y Lim, Hardik Shah, Joao A Paulo, Rahaman A Ahmed, Weixing Li, Yuchen Zhang, Haopeng Yang, Liang Wei Wang, Daniel Strebinger, Nicholas A Smith, Meng Li, Merrin Man Long Leong, Michael Lutchenkov, Jin Hua Liang, Zhixuan Li, Yin Wang, Rishi Puri, Ari Melnick, Michael R Green, John M Asara, Adonia E Papathanassiu, Duane R Wesemann, Steven P Gygi, Vamsi K Mootha, Benjamin E Gewurz

Faculty, Staff and Student Publications

B lymphocytes play major adaptive immune roles, producing antibodies and driving T cell responses. However, how immunometabolism networks support B cell activation and differentiation in response to distinct receptor stimuli remains incompletely understood. To gain insights, we systematically investigated acute primary human B cell transcriptional, translational, and metabolomic responses to B cell receptor (BCR), TLR9, CD40-ligand (CD40L), IL-4, or combinations thereof. T cell-independent BCR/TLR9 costimulation, which drives malignant and autoimmune B cell states, highly induced transaminase branched chain amino acid transaminase 1 (BCAT1), which localized to lysosomal membranes to support branched chain amino acid synthesis and mTORC1 activation. BCAT1 inhibition …

Imaging Features Of High-Grade Astrocytoma With Piloid Features: A Single Center Case Series, Heba Al Qudah, Jackson D Hamilton, Maria A Gubbiotti, Ahmed Msherghi, Hamza A Salim, Sahar Alizada, Ho-Ling Liu, Vinodh A Kumar, Max Wintermark, Rami W Eldaya

Faculty, Staff and Student Publications

High-grade astrocytoma with piloid features (HGAP) is a recently described IDH-wildtype tumor with limited literature describing its imaging features. We present our institution's experience and the largest imaging-focused cohort of HGAP reported to date, offering a comprehensive analysis of MRI features of seventeen intracranial and one spinal HGAP, while introducing novel imaging features that have not been previously described. These include focal areas of diffusion restriction, surrounding spiculated, finger-like enhancement and increased perfusion metrics. Additionally, we highlight imaging features of HGAP arising in patients with Neurofibromatosis Type 1, such as intraventricular tumor spread, unusual temporal lobe location and multifocal presentation.

Late Morbidity And Mortality In Survivors Of Childhood Ependymoma: A Report From The Childhood Cancer Survivor Study (Ccss), Katharine R Lange, Peter De Blank, Mengqi Xing, Sedigheh Mirzaei, Deo Kumar Srivastava, Kevin Oeffinger, Joseph Neglia, Kevin Krull, Paul C Nathan, Rebecca Howell, Kirsten K Ness, Lucie M Turcotte, Wendy Leisenring, Gregory T Armstrong, Tara Brinkman, Daniel C Bowers, Mehmet Fatih Okcu

Faculty, Staff and Student Publications

Background/objectives: Treatment of childhood ependymoma evolved from 1970 to 1999 by reducing radiation volumes and incorporating chemotherapy. The impact of these changes on long-term health outcomes remains unknown. In this report, we evaluated temporal changes in all-cause and cause-specific late mortality, chronic health conditions (CHCs), and subsequent neoplasms (SNs) in the Childhood Cancer Survivor Study (CCSS) cohort of adult survivors of pediatric ependymoma, diagnosed between 1970 and 1999.

Methods: A total of 404 five-year survivors of ependymoma (47.5% female, 80.7% non-Hispanic White, median 6 (range 0-20) years at diagnosis, 22 (5-49) years from diagnosis) diagnosed between 1970 and 1999 and …

First-Line Met Tyrosine Kinase Inhibitors Versus Immunotherapy ± Chemotherapy For Patients With Met Exon 14 Skipping Mutant Metastatic Nsclc, Federica Pecci, Hui Li, Alessandro Di Federico, Jia Wu, Hong Chen, Eleonora Gariazzo, Francesco Mantuano, Edoardo Garbo, Mihaela Aldea, Valentina Santo, Don Gibbons, Hai Tran, Francesco Paoloni, Guilherme Rossato De Almeida, Giulio Metro, Andrea De Giglio, Francesco Gelsomino, Xinan Wang, Marcello Tiseo, Julia Rotow, Andrea Ardizzoni, J Jack Lee, Mark M Awad, Alfredo Addeo, Lingzhi Hong, Marcelo V Negrao, Pasi A Jänne, John V Heymach, Jianjun Zhang, Biagio Ricciuti, Xiuning Le

Faculty, Staff and Student Publications

Purpose: First-line treatment options for MET exon 14 skipping-mutant metastatic non-small cell lung cancer vary because of differences in drug approvals and clinical experience. This study investigates factors influencing outcomes with first-line MET tyrosine kinase inhibitors (TKI) versus immune checkpoint inhibitors (ICI) ± chemotherapy.

Experimental design: Clinicopathologic data were collected from patients with metastatic MET exon 14 skipping-mutant non-small cell lung cancer treated with first-line MET TKI or ICI ± chemotherapy at five centers. Primary endpoints were real-world progression-free survival (rwPFS) and overall survival (OS) to first-line MET TKI versus ICI ± chemotherapy. Subgroup analyses by clinical and tumor characteristics …

Oligomeric Cystatin C Supports The Immunosuppressive Activity Of Myeloid Cells Through Interaction With Inhibitory Receptors, Chengcheng Zhang, Yubo He, Xiaoye Liu, Jingjing Xie, Meng Fang, Xing Yang, Ryan Huang, Qi Lou, Bufan Li, Ankit Gupta, Cheryl Lewis, Marc I Diamond, Ningyan Zhang, Zhiqiang An, Cheng Cheng Zhang

Faculty, Staff and Student Publications

Amyloid proteins are linked to various diseases; however, their functional roles in immunity and cancer remain unclear. Here, we establish a direct link between oligomeric cystatin C-a cysteine cathepsin inhibitor and a well-characterized amyloidogenic protein-within the tumor microenvironment and the immune inhibitory receptors LILRB2 and LILRB5 on myeloid cells. We demonstrated that human LILRB2 and LILRB5, along with their murine counterpart PIRB, serve as functional receptors for cystatin C oligomers. Engagement of these inhibitory receptors by oligomeric cystatin C enhances the immunosuppressive activity of myeloid cells, leading to T-cell suppression and tumor progression. Deletion of the CST3 gene, which encodes …

Developing A General Ai Model For Integrating Diverse Genomic Modalities And Comprehensive Genomic Knowledge, Zhenhao Zhang, Xinyu Bao, Linghua Jiang, Xin Luo, Zheyu Zhang, Jing Yin, Meiqi Zhao, Yichun Wang, Annelise Comai, Joerg Waldhaus, Anders S Hansen, Wenbo Li, Jie Liu

Faculty, Staff and Student Publications

Advances in next-generation sequencing technologies have vastly expanded the availability of diverse genomic, epigenomic, and transcriptomic data, presenting the opportunity to develop a general AI model that integrates comprehensive genomic knowledge into a unified model. Unlike previous predictive models, which are typically specialized to certain tasks, our general AI model unifies a wide range of genomic modalities, such as nascent RNA and ultra-high-resolution chromatin organization, within a multi-task architecture. Using ATAC-seq and DNA sequences as inputs, we incorporated diverse genomic modalities as output, and the model exhibits strong generalizability across different cell types and tissues in all tasks we trained. …

The Unfolded Protein Response-Novel Mechanisms, Challenges, And Key Considerations For Therapeutic Intervention, P M Quan Mai, Tam-Anh Truong, Sai Kumar Samala, Bhoomika Muruvekere Lakshmisha, Prapannajeet Biswal, Khadijeh Koushki, Prudhvi Chand Mallepaddi, Geraldine Vijay, Sunil Krishnan

Faculty, Staff and Student Publications

Background: The unfolded protein response (UPR) is an evolutionarily conserved, synchronized, and orchestrated process triggered by eukaryotic cells in response to endoplasmic reticulum (ER) stress. UPR restores the ER's capacity to handle large protein loads within it, and still fold and process these proteins accurately. Many recent studies have documented the non-canonical roles of the UPR, outside of protein quality control, in the context of lipid metabolism and the immune system in cancer. Cancer cells have been known to hijack the UPR to promote survival and evade immune surveillance. However, the underlying mechanisms remain poorly understood.

Objectives: Here, we critically …

Primary Intramedullary Spinal Melanocytomas: Case Report And Review Of Clinical Features, Diagnosis, And Management, Gil Kimchi, Samantha Varela, Juan Pablo Zuluaga-Garcia, Francisco Call-Orellana, Esteban Ramirez Ferrer, Romulo Augusto Andrade De Almeida, Maria A Gubbiotti, Isabella C Glitza, Andrew J Bishop, Jonathan D Grant, Robert Y North, Christopher A Alvarez-Breckenridge, Laurence D Rhines, Claudio E Tatsui

Faculty, Staff and Student Publications

Objective: Intramedullary melanocytomas are extremely rare spinal cord tumors with distinct histopathological and imaging characteristics. This report reviews the literature on this pathology and presents a representative case study, highlighting aspects of diagnosis and management.

Methods: A scoping review of PubMed, Web of Science, and Embase databases was conducted to identify reports on intramedullary melanocytomas, focusing on clinical presentation, imaging features, histopathology, treatment, and outcomes. Case reports and case series were included due to the rarity of these tumors.

Results: Twelve manuscripts met the inclusion criteria, including 15 patients. In the majority of patients, intramedullary melanocytomas present with progressive myelopathy …

Stereotactic Body Radiation Therapy Utilization Trends For Stage I Non-Small Cell Lung Cancer, Sara Sakowitz, Haley I Tupper, Lawrence N Benjamin, Scott Oh, Tao He, Reza Ronaghi, Colleen L Channick, Brian J Rosenberg, Ramin Salehi-Rad, Malcolm I Smith, Joanne M Bando, Timothy J Young, Igor Barjaktarvic, Maria A Velez Velez, Arjan Gower, Amy L Cummings, Jonathan Goldman, Aaron E Lisberg, Edward B Garon, Jane Yanagawa, Emily A Cameron, Bryan M Burt, Sha'shonda L Revels, Paul Toste, Jay M Lee, Alan Lee, Jie Deng, Hanjoo Lee, Peyman Benharash, Drew Moghanaki

Faculty, Staff and Students Publications

No abstract provided.

Reprogramming Tumor Microenvironment Via Systemic Delivery Of Tlr3 Agonist And Manganese Nanoparticle, Young Seok Cho, Xingwu Zhou, Xiaoqi Sun, Ziye Wan, Julia Crowther, Mariko Takahashi, Swetha Kodamasimham, Qi Wu, May Thazin Phoo, Youngseo Na, Kai Han, Zaiye Li, Anna Schwendeman, Steven P Schwendeman, Yu Leo Lei, James J Moon

Faculty, Staff and Student Publications

Toll-like receptor (TLR) agonists, as potent immunostimulatory adjuvants, play a critical role in linking the innate and adaptive immune responses. However, their antitumor effects as cancer immunotherapeutic agents have been limited. Here, we report our finding that manganese ion (Mn2+) potentiates various TLR agonists, leading to robust activation of the TLR pathway and the stimulator of interferon genes (STING) pathway among innate immune cells. In particular, we have observed robust antitumor efficacy after intratumoral administration of a TLR3 agonist and Mn2+. To achieve systemic codelivery of TLR3 agonist and Mn2+, we have developed a low-molecular-weight poly(inosinic:cytidylic acid)-Mn2+ coordination lipid nanoparticle …

Genome-Wide Crispr Screens Identify Critical Targets To Enhance Car-Nk Cell Antitumor Potency, Alexander Biederstädt, Rafet Basar, Jeong-Min Park, Nadima Uprety, Rejeena Shrestha, Francia Reyes Silva, Merve Dede, John Watts, Sunil Acharya, Donghai Xiong, Bin Liu, May Daher, Hind Rafei, Pinaki Banerjee, Ping Li, Sanjida Islam, Huihui Fan, Mayra Shanley, Jingling Jin, Bijender Kumar, Vernikka Woods, Paul Lin, Silvia Tiberti, Ana Karen Nunez Cortes, Xin Ru Jiang, Inci Biederstädt, Patrick Zhang, Ye Li, Seema Rawal, Enli Liu, Luis Muniz-Feliciano, Gary M Deyter, Elizabeth J Shpall, Natalie Wall Fowlkes, Ken Chen, Katayoun Rezvani

Faculty, Staff and Student Publications

Adoptive cell therapy using engineered natural killer (NK) cells is a promising approach for cancer treatment, with targeted gene editing offering the potential to further enhance their therapeutic efficacy. However, the spectrum of actionable genetic targets to overcome tumor and microenvironment-mediated immunosuppression remains largely unexplored. We performed multiple genome-wide CRISPR screens in primary human NK cells and identified critical checkpoints regulating resistance to immunosuppressive pressures. Ablation of MED12, ARIH2, and CCNC significantly improved NK cell antitumor activity against multiple treatment-refractory human cancers in vitro and in vivo. CRISPR editing augmented both innate and CAR-mediated NK cell function, associated with enhanced …

Whole-Exome Sequencing-Based Linkage Analysis Of Multiple Myeloma (Mm) And Monoclonal Gammopathy Of Undetermined Significance (Mgus) Pedigrees, Alyssa I Clay-Gilmour, Nicola J Camp, Xiaomu Wei, Angel Earle, Aaron Norman, Jason Sinnwell, Delphine Demangel, Rosalie Griffin, Charles Dumontet, James Mckay, Ken Offit, Vijai Joseph, Siwei Chen, Daniel O'Brien, Vincent Rajkumar, Robert Klein, Shaji Kumar, Steve Lipkin, Celine M Vachon

Faculty, Staff and Student Publications

Background/objectives: Family history is a known risk factor for multiple myeloma (MM) and its precursor condition, monoclonal gammopathy of undetermined significance (MGUS). Previous genome-wide association studies (GWASs) have identified 35 common loci associated with MM risk and 21 associated with MGUS. The objective of this study was to identify less common and rare genetic loci predisposing to MM/MGUS through whole-exome sequencing (WES)-based linkage analysis.

Methods: Multipoint linkage analysis was conducted using the Multipoint Engine for Rapid Likelihood Inference (MERLIN) with the Lander-Green algorithm on germline WES data from 79 pedigrees with 2 or more affected relatives (120 MM, 86 MGUS, …

Investigating Prognostic Features In High-Grade Serous Ovarian Cancer Through Gene Regulatory Network Inference With Single-Cell Transcriptomic Profiles, Toshiyuki Itai, Yulin Dai, Wendao Liu, Dung-Fang Lee, Zhongming Zhao

Faculty, Staff and Student Publications

This study aimed to identify prognostic features in high-grade serous ovarian cancer (HGSOC) through the application of gene regulatory network (GRN) inference with single-cell RNA-sequencing (scRNA-seq) profiles. To achieve this goal, we developed a workflow comprising scRNA-seq analysis, metacell construction, GRN inference, and a binary classification task for prognosis prediction. We curated 118,173 cells from HGSOC patients in three conditions (Before-chemotherapy, After-chemotherapy, and control samples) from previous studies, and then constructed 1,211 metacells. GRN inference analysis revealed 312 regulons, each consisting of one transcription factor and its targeted features. For prognosis evaluation, we used bulk RNA-seq data covering 342 HGSOC …

Development Of A Targeted Bioprotac Degrader Selective For Misfolded Sod1, Christen G Chisholm, Rachael Bartlett, Mikayla L Brown, Emma-Jayne Proctor, Natalie E Farrawell, Jody Gorman, Fabien Delerue, Lars M Ittner, Kara L Vine-Perrow, Heath Ecroyd, Neil R Cashman, Darren N Saunders, Luke Mcalary, Jeremy S Lum, Justin J Yerbury

Faculty, Staff and Student Publications

The accumulation of misfolded proteins underlies a broad range of neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS). Due to their dynamic nature, these misfolded proteins have proven challenging to target therapeutically. Here, we specifically target misfolded disease variants of the ALS-associated protein superoxide dismutase 1 (SOD1), using a biological proteolysis targeting chimera (BioPROTAC) composed of a SOD1-specific intrabody and an E3 ubiquitin ligase. Screening of intrabodies and E3 ligases for optimal BioPROTAC construction reveals a candidate capable of degrading multiple disease variants of SOD1, preventing their aggregation in cells. Using CRISPR/Cas9 technology to develop a BioPROTAC transgenic mouse line, we …

Mutational Landscape And Clinical Impact Of Spen Mutations In Patients With Chronic Lymphocytic Leukemia, Priyatharsini Nirmalanantham, Andrés E Quesada, Anindita Ghosh, Pei Lin, Chi Y Ok, Richard K Yang, Hong Fang, Sofia Garces, Rashmi Kanagal-Shamanna, Sanam Loghavi, Mark J Routbort, Cameron Cheng Yin, Wang Wei, Sarah Pasyar, Roland Bassett, Siba El Hussein, Nitin Jain, Jan Burger, William G Wierda, Sa Wang, Carlos Bueso-Ramos, Keyur P Patel, Leonard Jeffrey Medeiros, Fatima Zahra Jelloul

Faculty, Staff and Student Publications

Background/objectives: NOTCH1 is frequently mutated in chronic lymphocytic leukemia (CLL) and is a marker of poor prognosis. In addition to NOTCH1, mutations in the NOTCH1 regulatory pathway including SPEN have been described in a limited number of CLL cases and others have suggested that these mutations are also associated with adverse patient outcomes Methods: In this study, 1617 CLL cases were assessed using targeted sequencing and a 29-gene panel and the results were correlated with prognosis.

Results: SPEN mutations were detected in 48 (2.9%) CLL patients: 92.4% were deleterious (frameshift or truncating nonsense mutations) and the remaining (7.6%) were …

Advancing Delirium Detection Through The Open Health Natural Language Processing Consortium And The Evolve To Next-Gen Accrual To Clinical Trials Network, Sunyang Fu, Min Ji Kwak, Jaerong Ahn, Zhiyi Yue, Shreyas Ranganath, Joseph R Applegate, Andrew Wen, Liwei Wang, Chenyu Li, Michele Morris, Kelly M Toth, Timothy D Girard, John D Osborne, Richard E Kennedy, Nelly-Estefanie Garduno-Rapp, Phillip Reeder, Justin F Rousseau, Chao Yan, You Chen, Mayur B Patel, Tyler J Murphy, Bradley A Malin, Chan Mi Park, Heling Jia, Sandeep Pagali, Allyson K Palmer, Jennifer St Sauver, Sunghwan Sohn, Elmer V Bernstam, Shyam Visweswaran, Yanshan Wang, Hongfang Liu

Faculty, Staff and Student Publications

Background: Delirium is often underdiagnosed in clinical practice and is not routinely coded for billing. While manual chart review can identify delirium, it is labor-intensive and impractical for large-scale studies. Natural language processing (NLP) can analyze unstructured text in electronic health records (EHRs) to extract meaningful clinical information.

Methods: To support national integration of NLP for EHR-based delirium identification across different institutions, we launched the Delirium Interest Group within the national Evolve to Next-Gen Accrual to Clinical Trials (ENACT) NLP Working Group. This paper outlines our initial efforts to standardize, evaluate, and translate an NLP-based delirium detection model into the …

Distinct Tumor-Associated Macrophage Signatures Shape The Immune Microenvironment And Patient Prognosis In Renal Cell Carcinoma, Youngsoo Han, Aidan Shen, Cheng-Chi Chao, Lucas Yeung, Aliesha Garrett, Jianming Zeng, Satoru Kawakita, Jesse Wang, Zhaohui Wang, Alireza Hassani, Xiling Shen, Chongming Jiang

Faculty, Staff and Student Publications

Renal cell carcinoma (RCC) accounts for 90% of adult renal cancer cases and is characterized by significant heterogeneity within its tumor microenvironment. This study tests the hypothesis that tumor-associated macrophages (TAMs) influence RCC progression and patient response to treatment by investigating the prognostic implications of TAM signatures. Utilizing independent single-cell RNA sequencing data from RCC patients, we developed eight distinct TAM signatures reflective of TAM presence. A LASSO Cox regression model was constructed to predict survival outcomes, evaluated using the TCGA dataset, and validated across independent RCC cohorts. Model performance was assessed through Kaplan-Meier survival plots, receiver operating characteristic (ROC) …

Distinguishing Syndromic And Nonsyndromic Cleft Palate Through Analysis Of Protein-Altering De Novo Variants In 818 Trios, Kelsey R Robinson, Sarah W Curtis, Justin E Paschall, Wasiu Lanre Adeyemo, Terri H Beaty, Azeez Butali, Carmen J Buxó, David J Cutler, Michael P Epstein, Lord J J Gowans, Jacqueline T Hecht, Gary M Shaw, Lina Moreno Uribe, Jeffrey C Murray, Harrison Brand, Seth M Weinberg, Mary L Marazita, Kimberly F Doheny, Elizabeth J Leslie-Clarkson

Faculty, Staff and Student Publications

De novo variants (DNs) are sporadically occurring variants found in an offspring but absent in both parents. DNs most commonly arise in the germline and are not under selective pressure; therefore, they may be enriched for disease-causing alleles. In fact, DNs have been implicated in multiple rare genetic disorders. Cleft palate (CP) is a craniofacial congenital anomaly occurring in ∼1 in 1,700 live births. Genome-wide association studies have found fewer than a dozen CP-specific loci, while exome and targeted sequencing studies in family-based and case-control cohorts often lack statistical power to conclusively identify causal variants. We therefore hypothesized that CP …

Compadre: Combined Pedigree-Aware Distant Relatedness Estimation For Improved Pedigree Reconstruction, Grahame F Evans, James T Baker, Lauren E Petty, Alexander S Petty, Hannah G Polikowsky, Ryan J Bohlender, Hung-Hsin Chen, Che-Yu Chou, Kathryn Z Viljoen, Janet M Beilby, Shelly Jo Kraft, Wanying Zhu, Joshua M Landman, Autumn R Morrow, Dayi Bian, Alyssa C Scartozzi, Chad D Huff, Jennifer E Below

Faculty, Staff and Student Publications

Designing powerful and unbiased genomic studies requires accurate assessment of familial relatedness even when this information is not captured from participants. Characterization of pairwise degrees of relatedness from participants' genetic data enables reconstruction of pedigrees, and several pedigree reconstruction tools have emerged in the last decade. However, limitations of these tools include high computational burden in large datasets, reliance on external information, reduced accuracy in admixed populations, and most notably, an inability to accurately reconstruct pedigrees when only a subset of family members is represented in the genetic data. To improve pedigree reconstruction in large-scale data and in pedigrees with …

Menin Inhibitor Ds-1594b Drives Differentiation And Induces Synergistic Lethality In Combination With Venetoclax In Acute Myeloid Leukemia Cells With Rearranged Mixed-Lineage Leukemia And Mutated Nucleophosmin-1, Valerio Ciaurro, Vassilena Sharlandjieva, Anna Skwarska, Catherine Chahrour, Natalia Baran, Zhihong Zeng, Cassandra Ramage, Naval Daver, Bing Z Carter, Sovira Chaundhry, Palaniraja Thandapani, Maria Paola Martelli, Thomas A Milne, Marina Konopleva

Faculty, Staff and Student Publications

Mixed-lineage leukemia (MLL) rearrangements and Nucleophosmin-1 (NPM1) mutations are associated with acute leukemias whose pathogenesis is critically influenced by protein-protein interactions between menin and MLL. We hypothesized that targeting the menin-MLL interaction using DS-1594b and blocking the antiapoptotic BCL-2 protein using venetoclax may promote differentiation and enhance eradication of MLL-rearranged and NPM1-mutated leukemias models. We treated acute myeloid leukemia (AML) cell lines with MLL rearrangements, NPM1 mutations, other leukemias and primary samples from AML patients with venetoclax alone, DS- 1594b alone, and their combination. We measured proliferation, viability, apoptosis, and differentiation using a variety of cellular assays, Western blotting, and …