Genetic Phenomena Commons^™

Rapidbrachyivbt: A Dosimetry Software For Patient-Specific Intravascular Brachytherapy Dose Calculations On Optical Coherence Tomography Images, Maryam Rahbaran, Jonathan Kalinowski, Joseph M Decunha, Kevin J Croce, Brian A Bergmark, James M G Tsui, Phillip M Devlin, Shirin A Enger

Faculty, Staff and Student Publications

Background: Coronary artery disease is the most common form of cardiovascular disease. It is caused by excess plaque along the arterial wall, blocking blood flow to the heart (stenosis). A percutaneous coronary intervention widens the arterial wall with the inflation of a balloon inside the lesion area and leaves behind a metal stent to prevent re-narrowing of the artery (restenosis). However, in-stent restenosis may occur due to damage to the arterial wall tissue, triggering neointimal hyperplasia, producing fibrotic and calcified plaques and narrowing the artery again. Drug-eluting stents, which slowly release medication to inhibit neointimal hyperplasia, are used to prevent …

Outcomes Of Patients With Treated Secondary Acute Myeloid Leukemia: A High-Risk Subtype That Warrants An Independent Prognostic Designation, Jayastu Senapati, Hagop M Kantarjian, Fadi G Haddad, Nicholas J Short, Gautam Borthakur, Rashmi Kanagal-Shamanna, Guilin Tang, Elias Jabbour, Courtney D Dinardo, Naval Daver, Guillermo Montalban-Bravo, Vishrut Shah, Amin Alousi, Elizabeth Shpall, Uday Popat, Guillermo Garcia-Manero, Farhad Ravandi, Tapan M Kadia

Faculty, Staff and Student Publications

Patients who develop acute myeloid leukemia (AML) after having received treatment for myelodysplastic syndrome (MDS) or related conditions have particularly poor outcomes. This study analyzed adult patients with newly diagnosed AML who previously had MDS, chronic myelomonocytic leukemia (CMML), or MDS/myeloproliferative neoplasm (MPN) overlap syndrome, and who had received hypomethylating agents, chemotherapy, and/or allogeneic stem cell transplantation (HSCT) for these antecedent disorders. From January 2012 to August 2023, we included 673 patients with a median age of 70 years (range, 19-94); 536 (80%) had transformed from MDS, and the remainder from CMML or MDS-MPN. Additionally, 149 patients (22%) had prior …

Frailty And Sleep In Adult Survivors Of Childhood Cancer: A Childhood Cancer Survivor Study Report, Lauren C Daniel, Margaret M Lubas, Huiqi Wang, Mariana Szklo-Coxe, Kirsten K Ness, Annalynn M Williams, Daniel A Mulrooney, Rebecca Howell, Wendy Leisenring, Yutaka Yasui, Leslie L Robison, Gregory T Armstrong, Eric J Chow, Kevin R Krull, Tara M Brinkman

Faculty, Staff and Student Publications

Background: Young adult survivors of childhood cancer exhibit rates of frailty similar to adults several decades older without a cancer history. Frailty has been associated with sleep disturbances in non-cancer populations, but the relationship has not been examined in childhood cancer survivors who are known to exhibit elevated rates of sleep problems.

Aims: Examine associations between frailty and poor sleep quality in long-term survivors of childhood cancer.

Methods: This study utilized data from 9044 participants (> 5 years from diagnosis, Mage = 40.8 years [SD = 9.5]) in the Childhood Cancer Survivor Study. Survivors' frailty status, chronic health conditions (CHC), …

Mutational And Co-Mutational Landscape Of Early Onset Colorectal Cancer, Jumanah Yousef Alshenaifi, Guglielmo Vetere, Giulia Maddalena, Mahmoud Yousef, Michael G White, John Paul Shen, Eduardo Vilar, Christine Parseghian, Arvind Dasari, Van Karlyle Morris, Ryan Huey, Michael J Overman, Robert Wolff, Kanwal P Raghav, Jason Willis, Kristin Alfaro, Andy Futreal, Y Nancy You, Scott Kopetz

Faculty, Staff and Student Publications

Introduction: Colorectal cancer (CRC) incidence and mortality before 50 have been rising alarmingly in the recent decades.

Methods: Using a cohort of 10,000 patients, this study investigates the clinical, mutational, and co-mutational features of CRC in early-onset (EOCRC, < 50 years) compared to late-onset (LOCRC, ≥ 50 years).

Results: EOCRC was associated with a higher prevalence of Asian and Hispanic patients, rectal or left-sided tumors (72% vs. 59%), and advanced-stage disease. Molecular analyses revealed differences in mutation patterns, with EOCRC having higher frequencies of TP53 (74% vs. 68%, p < 0.01) and SMAD4 (17% vs. 14%, p = 0.015), while BRAF (5% vs. 11%, p < 0.001) and NOTCH1 (2.7% vs. 4.1%, p = 0.01) mutations …

Rapid Whole Genome Sequencing Uncovers A Triple Diagnosis: X-Linked Chondrodysplasia Punctata, Mecp2-Related Disorder, And Mosaic Jacobs Syndrome, Megan Samuels, Kathleen Shields, Paul Hillman, Laura Farach

Faculty, Staff and Student Publications

Background: Rapid Whole Genome Sequencing (rWGS) is increasingly being used in neonatal intensive care units, as there is growing evidence that rare singe gene disorders present in the neonatal period and early identification can change management. While the diagnostic utility is increased with this broad testing, the possibility of unexpected findings also increases significantly. Here, we present a patient found to have three distinct genetic conditions through rWGS testing, with significant psychosocial and health consequences.

Methods and results: This case report describes a patient who was identified with a form of chondrodysplasia punctata, as well as incidental findings of MECP2-related …

Association Of Serum Endocannabinoid Levels With Pancreatitis And Pancreatitis-Related Pain, Marc T Goodman, Christina Lombardi, Alexa Torrens, Catherine Bresee, Jami L Saloman, Liang Li, Yunlong Yang, William E Fisher, Evan L Fogel, Christopher E Forsmark, Darwin L Conwell, Phil A Hart, Walter G Park, Mark Topazian, Santhi S Vege, Stephen K Van Den Eeden, Melena D Bellin, Dana K Andersen, Jose Serrano, Dhiraj Yadav, Stephen J Pandol, Daniele Piomelli

Faculty, Staff and Student Publications

No abstract provided.

Preclinical And Clinical-Scale Magnetic Particle Imaging Of Natural Killer Cells: In Vitro And Ex Vivo Demonstration Of Cellular Sensitivity, Resolution, And Quantification, Olivia C Sehl, Yanwen Yang, Ariana R Anjier, Dmitry Nevozhay, Donghang Cheng, Kelvin Guo, Benjamin Fellows, Abdul Rahman Mohtasebzadeh, Erica E Mason, Toby Sanders, Petrina Kim, David Trease, Dimpy Koul, Patrick W Goodwill, Konstantin Sokolov, Max Wintermark, Nancy Gordon, Joan M Greve, Vidya Gopalakrishnan

Faculty, Staff and Student Publications

Purpose: Clinical adoption of NK cell immunotherapy is underway for medulloblastoma and osteosarcoma, however there is currently little feedback on cell fate after administration. We propose magnetic particle imaging (MPI) may have applications for the quantitative detection of NK cells.

Procedures: Human-derived NK-92 cells were labeled by co-incubation with iron oxide nanoparticles (VivoTrax™) for 24 h then excess nanoparticles were washed with centrifugation. Cytolytic activity of labeled versus unlabeled NK-92 cells was assessed after 4 h of co-incubation with medulloblastoma cells (DAOY) or osteosarcoma cells (LM7 or OS17). Labeled NK-92 cells at two different doses (0.5 or 1 × 106) …

Toward A Biological Definition Of Neuronal And Glial Synucleinopathies, Claudio Soto, Brit Mollenhauer, Oskar Hansson, Un Jung Kang, Roy N Alcalay, David Standaert, Claudia Trenkwalder, Kenneth Marek, Douglas Galasko, Kathleen Poston

Faculty, Staff and Student Publications

Cerebral accumulation of alpha-synuclein (αSyn) aggregates is the hallmark event in a group of neurodegenerative diseases-collectively called synucleinopathies-which include Parkinson's disease, dementia with Lewy bodies and multiple system atrophy. Currently, these are diagnosed by their clinical symptoms and definitively confirmed postmortem by the presence of αSyn deposits in the brain. Here, we summarize the drawbacks of the current clinical definition of synucleinopathies and outline the rationale for moving toward an earlier, biology-anchored definition of these disorders, with or without the presence of clinical symptoms. We underscore the utility of the αSyn seed amplification assay to detect aggregated αSyn in living …

Refining Diagnostic Subtypes Of Peripheral T-Cell Lymphoma Using A Multiparameter Approach, Catalina Amador, Dennis D Weisenburger, Ana Gomez, Alyssa Bouska, Ahmad Alshomrani, Sunandini Sharma, Ab Rauf Shah, Timothy C Greiner, Francisco Vega, Andreas Rosenwald, German Ott, Andrew L Feldman, Elaine S Jaffe, Neval Ozkaya, Sarah L Ondrejka, James R Cook, Philipp W Raess, Kerry J Savage, Graham W Slack, Joo Y Song, David W Scott, Elias Campo, Lisa M Rimsza, Joseph D Khoury, Louis M Staudt, Wing C Chan, Javeed Iqbal

Faculty, Staff and Student Publications

Peripheral T-cell lymphoma (PTCL) is a heterogeneous category, and many cases are unclassifiable and designated as PTCL-not otherwise specified (PTCL-NOS). Gene expression profiling (GEP) has delineated two prognostic subtypes within PTCL-NOS, PTCL-TBX21, and PTCL-GATA3, characterized by distinctive transcriptomes and a different prognosis. To further evaluate the pathologic features of these subgroups, 101 PTCL cases that did not meet specific criteria for well-defined T-cell lymphoma entities underwent detailed pathologic, immunophenotypic (including TFH biomarkers) and GEP analyses, separating them into PTCL-NOS (n=63) and PTCL-TFH (a.k.a. nodal PTCL-TFH, NOS, and TFH lymphoma, NOS) (n=38). PTCL-NOS cases were further categorized into PTCL-GATA3 (n=22; 34%) …

Forecasting Intraoperative Hypotension During Hepatobiliary Surgery, Juan P Cata, Bhavin Soni, Shreyas Bhavsar, Parvathy Sudhir Pillai, Tatiana A Rypinski, Anshuj Deva, Jeffrey H Siewerdsen, Jose M Soliz

Faculty, Staff and Student Publications

Prediction and avoidance of intraoperative hypotension (IOH) can lead to less postoperative morbidity. Machine learning (ML) is increasingly being applied to predict IOH. We hypothesize that incorporating demographic and physiological features in an ML model will improve the performance of IOH prediction. In addition, we added a "dial" feature to alter prediction performance. An ML prediction model was built based on a multivariate random forest (RF) trained algorithm using 13 physiologic time series and patient demographic data (age, sex, and BMI) for adult patients undergoing hepatobiliary surgery. A novel implementation was developed with an adjustable, multi-model voting (MMV) approach to …

Status Of Abortion Curriculum In Genetic Counseling: Survey Of Graduate Programs And Recent Graduates In The United States, Gina Sanchez, S Shahrukh Hashmi, Erica Bednar, Sarah Horvath, Bhavik Kumar, Katelynn Sagaser, Claire N Singletary, Aarti Ramdaney

Faculty, Staff and Student Publications

Genetic counselors (GCs) are trained to help individuals navigate the medical and psychological implications of genetic test results, familial conditions, and ultrasound anomalies. Therefore, familiarity with reproductive options, including abortion, is vital. However, previous studies have found gaps in GCs' knowledge regarding abortion care and there are currently no recommendations regarding abortion curriculum. This study aimed to assess the state of abortion curriculum in genetic counseling graduate programs in the United States and to examine and compare the satisfaction levels of program representatives and recent graduates. Program representatives and recent graduates were invited to complete an anonymous survey evaluating the …

A Statistical Framework For Multi-Trait Rare Variant Analysis In Large-Scale Whole-Genome Sequencing Studies, Xihao Li, Han Chen, Margaret Sunitha Selvaraj, Eric Van Buren, Hufeng Zhou, Yuxuan Wang, Ryan Sun, Zachary R Mccaw, Zhi Yu, Min-Zhi Jiang, Daniel Dicorpo, Sheila M Gaynor, Rounak Dey, Donna K Arnett, Emelia J Benjamin, Joshua C Bis, John Blangero, Eric Boerwinkle, Donald W Bowden, Jennifer A Brody, Brian E Cade, April P Carson, Jenna C Carlson, Nathalie Chami, Yii-Der Ida Chen, Joanne E Curran, Paul S De Vries, Myriam Fornage, Nora Franceschini, Barry I Freedman, Charles Gu, Nancy L Heard-Costa, Jiang He, Lifang Hou, Yi-Jen Hung, Marguerite R Irvin, Robert C Kaplan, Sharon L R Kardia, Tanika N Kelly, Iain Konigsberg, Charles Kooperberg, Brian G Kral, Changwei Li, Yun Li, Honghuang Lin, Ching-Ti Liu, Ruth J F Loos, Michael C Mahaney, Lisa W Martin, Rasika A Mathias, Braxton D Mitchell, May E Montasser, Alanna C Morrison, Take Naseri, Kari E North, Nicholette D Palmer, Patricia A Peyser, Bruce M Psaty, Susan Redline, Alexander P Reiner, Stephen S Rich, Colleen M Sitlani, Jennifer A Smith, Kent D Taylor, Hemant K Tiwari, Ramachandran S Vasan, Satupa'itea Viali, Zhe Wang, Jennifer Wessel, Lisa R Yanek, Bing Yu, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Josée Dupuis, James B Meigs, Paul L Auer, Laura M Raffield, Alisa K Manning, Kenneth M Rice, Jerome I Rotter, Gina M Peloso, Pradeep Natarajan, Zilin Li, Zhonghua Liu, Xihong Lin

Faculty, Staff and Student Publications

Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over single-trait analysis, and also detect pleiotropic genes and regions. Existing multi-trait methods have limited ability to perform rare variant analysis of large-scale WGS data. We propose MultiSTAAR, a statistical framework and computationally scalable analytical pipeline for functionally informed multi-trait rare variant analysis in large-scale WGS studies. MultiSTAAR accounts for relatedness, population structure and correlation among phenotypes by jointly analyzing multiple …

Exome Sequencing In Asian Populations Identifies Low-Frequency And Rare Coding Variation Influencing Parkinson’S Disease Risk, Elaine Gy Chew, Zhehao Liu, Zheng Li, Sun Ju Chung, Michelle M Lian, Moses Tandiono, Yue Jing Heng, Ebonne Y Ng, Louis Cs Tan, Wee Ling Chng, Tiak Ju Tan, Esther Kl Peh, Ying Swan Ho, Xiao Yin Chen, Erin Yt Lim, Chu Hua Chang, Jonavan J Leong, Ting Xuan Peh, Ling Ling Chan, Yinxia Chao, Wing-Lok Au, Kumar M Prakash, Jia Lun Lim, Yi Wen Tay, Vincent Mok, Anne Yy Chan, Juei-Jueng Lin, Beom S Jeon, Kyuyoung Song, Clement C Tham, Chi Pui Pang, Jeeyun Ahn, Kyu Hyung Park, Janey L Wiggs, Tin Aung, Ai Huey Tan, Azlina Ahmad Annuar, Mary B Makarious, Cornelis Blauwendraat, Mike A Nalls, Laurie A Robak, Roy N Alcalay, Ziv Gan-Or, Richard Reynolds, Shen-Yang Lim, Yun Xia, Chiea Chuen Khor, Eng-King Tan, Zhenxun Wang, Jia Nee Foo

Faculty, Staff and Students Publications

Parkinson’s disease (PD) is an incurable, progressive and common movement disorder that is increasing in incidence globally because of population aging. We hypothesized that the landscape of rare, protein-altering variants could provide further insights into disease pathogenesis. Here we performed whole-exome sequencing followed by gene-based tests on 4,298 PD cases and 5,512 controls of Asian ancestry. We showed that GBA1 and SMPD1 were significantly associated with PD risk, with replication in a further 5,585 PD cases and 5,642 controls. We further refined variant classification using in vitro assays and showed that SMPD1 variants with reduced enzymatic activity display the strongest …

Enhancing Immunotherapy Efficacy With Synergistic Low-Dose Radiation In Metastatic Melanoma: Current Insights And Prospects, Zahid Rafiq, Mingyo Kang, Hampartsoum B Barsoumian, Gohar S Manzar, Yun Hu, Carola Leuschner, Ailing Huang, Fatemeh Masrorpour, Weiqin Lu, Nahum Puebla-Osorio, James W Welsh

Faculty, Staff and Student Publications

Recent advances in oncology research have highlighted the promising synergy between low-dose radiation therapy (LDRT) and immunotherapies, with growing evidence highlighting the unique benefits of the combination. LDRT has emerged as a potent tool for stimulating the immune system, triggering systemic antitumor effects by remodeling the tumor microenvironment. Notably, LDRT demonstrates remarkable efficacy even in challenging metastatic sites such as the liver (uveal) and brain (cutaneous), particularly in advanced melanoma stages. The increasing interest in utilizing LDRT for secondary metastatic sites of uveal, mucosal, or cutaneous melanomas underscores its potential efficacy in combination with various immunotherapies. This comprehensive review traverses …

Trmt1l-Catalyzed M22g27 On Tyrosine Trna Is Required For Efficient Mrna Translation And Cell Survival Under Oxidative Stress, Sseu-Pei Hwang, Han Liao, Katherine Barondeau, Xinyi Han, Cassandra Herbert, Hunter Mcconie, Amirtha Shekar, Dimitri G Pestov, Patrick A Limbach, Jeffrey T Chang, Catherine Denicourt

Faculty, Staff and Student Publications

tRNA modifications are critical for several aspects of their functions, including decoding, folding, and stability. Using a multifaceted approach encompassing eCLIP-seq and nanopore tRNA-seq, we show that the human tRNA methyltransferase TRMT1L interacts with the component of the Rix1 ribosome biogenesis complex and binds to the 28S rRNA as well as to a subset of tRNAs. Mechanistically, we demonstrate that TRMT1L is responsible for catalyzing N2,N2-dimethylguanosine (m22G) solely at position 27 of tRNA-Tyr-GUA. Surprisingly, TRMT1L depletion also impaired the deposition of 3-(3-amino-3-carboxypropyl) uridine (acp3U) and dihydrouridine on tRNA-Tyr-GUA, Cys-GCA, and Ala-CGC. TRMT1L knockout cells have a marked decrease in tRNA-Tyr-GUA …

Overcoming Cd226-Related Immune Evasion In Acute Myeloid Leukemia With Cd38 Car-Engineered Nk Cells, Luciana Melo Garcia, Achintyan Gangadharan, Pinaki Banerjee, Ye Li, Andy G X Zeng, Hind Rafei, Paul Lin, Bijender Kumar, Sunil Acharya, May Daher, Luis Muniz-Feliciano, Gary M Deyter, Gabriel Dominguez, Jeong Min Park, Francia Reyes Silva, Ana Karen Nunez Cortes, Rafet Basar, Nadima Uprety, Mayra Shanley, Mecit Kaplan, Enli Liu, Elizabeth J Shpall, Katayoun Rezvani

Faculty, Staff and Student Publications

CD226 plays a vital role in natural killer (NK) cell cytotoxicity, interacting with its ligands CD112 and CD155 to initiate immune synapse formation, primarily through leukocyte function-associated-1 (LFA-1). Our study examined the role of CD226 in NK cell surveillance of acute myeloid leukemia (AML). NK cells in patients with AML had lower expression of CD226. CRISPR-Cas9 deletion of CD226 led to reduced LFA-1 recruitment, poor synapse formation, and decreased NK cell anti-leukemic activity. Engineering NK cells to express a chimeric antigen receptor targeting the AML antigen CD38 (CAR38) could overcome the need for CD226 to establish strong immune synapses. LFA-1 …

The Golgi Complex Governs Natural Killer Cell Lytic Granule Positioning To Promote Directionality In Cytotoxicity, Luis A Pedroza, Frederique Van Den Haak, Alexander Frumovitz, Evelyn Hernandez, Everardo Hegewisch-Solloa, Tabitha K Orange, Keri B Sheehan, Susan Prockop, Aaron Bodansky, Ivan K Chinn, James R Lupski, Jennifer E Posey, Emily M Mace, Yu Li, Jordan S Orange

Faculty, Staff and Students Publications

Cytotoxic immune cells mediate precise attacks against diseased cells to maintain organismal health. Their operational unit of killing and host defense is lytic granules (LGs), which are specialized lysosomal-related organelles. Precision in cytotoxicity is achieved by converging the many LGs to the microtubule-organizing center (MTOC) and polarizing these to the diseased cell for secretion. We identify unappreciated intimate relationships between the Golgi, MTOC, and LGs after cytotoxic cell activation, as well as the trans-Golgin protein GCC2 on the LG surface. GCC2 serves to tether LGs to the Golgi following convergence, and both GCC2 and the Golgi are required for the …

Tfap2e Is Implicated In Central Nervous System, Orofacial And Maxillofacial Anomalies, Jeshurun C Kalanithy, Enrico Mingardo, Jil D Stegmann, Ramgopal Dhakar, Tikam Chand Dakal, Jill A Rosenfeld, Wen-Hann Tan, Stephanie A Coury, Audrey C Woerner, Jessica Sebastian, Paul A Levy, Leah R Fleming, Lea Waffenschmidt, Tobias T Lindenberg, Öznur Yilmaz, Khadija Channab, Bimaljeet K Babra, Andrea Christ, Britta Eiberger, Selina Hölzel, Clara Vidic, Felix Häberlein, Nina Ishorst, Juan E Rodriguez-Gatica, Behnaz Pezeshkpoor, Patrick A Kupczyk, Olivier M Vanakker, Sara Loddo, Antonio Novelli, Maria L Dentici, Albert Becker, Holger Thiele, Jennifer E Posey, James R Lupski, Alina C Hilger, Heiko M Reutter, Waltraut M Merz, Gabriel C Dworschak, Benjamin Odermatt

Faculty, Staff and Students Publications

Background: Previous studies in mouse, Xenopus and zebrafish embryos show strong tfap2e expression in progenitor cells of neuronal and neural crest tissues suggesting its involvement in neural crest specification. However, the role of human transcription factor activator protein 2 (TFAP2E) in human embryonic central nervous system (CNS), orofacial and maxillofacial development is unknown.

Methods: Through a collaborative work, exome survey was performed in families with congenital CNS, orofacial and maxillofacial anomalies. Exome variant prioritisation prompted TFAP2E gene for functional analysis in zebrafish embryos. Embryonic morphology and development were assessed after antisense morpholino (MO) knockdown (KD), CRISPR/Cas9 knockout and overexpression …

Genome-Wide Profiling Of Trna Modifications By Induro-Trnaseq Reveals Coordinated Changes, Yuko Nakano, Howard Gamper, Henri Mcguigan, Sunita Maharjan, Jiatong Li, Zhiyi Sun, Erbay Yigit, Sebastian Grünberg, Keerthana Krishnan, Nan-Sheng Li, Joseph Piccirilli, Ralph Kleiner, Nicole Nichols, Brian Gregory, Ya-Ming Hou

Department of Biochemistry and Molecular Biology Faculty Papers

While all native tRNAs undergo extensive post-transcriptional modifications as a mechanism to regulate gene expression, mapping these modifications remains challenging. The critical barrier is the difficulty of readthrough of modifications by reverse transcriptases (RTs). Here we use Induro-a new group-II intron-encoded RT-to map and quantify genome-wide tRNA modifications in Induro-tRNAseq. We show that Induro progressively increases readthrough over time by selectively overcoming RT stops without altering the misincorporation frequency. In a parallel analysis of Induro vs. a related RT, we provide comparative datasets to facilitate the prediction of each modification. We assess tRNA modifications across five human cell lines and …

Statistical Identification Of Cell Type-Specific Spatially Variable Genes In Spatial Transcriptomics, Lulu Shang, Peijun Wu, Xiang Zhou

Faculty, Staff and Student Publications

An essential task in spatial transcriptomics is identifying spatially variable genes (SVGs). Here, we present Celina, a statistical method for systematically detecting cell type-specific SVGs (ct-SVGs)-a subset of SVGs exhibiting distinct spatial expression patterns within specific cell types. Celina utilizes a spatially varying coefficient model to accurately capture each gene's spatial expression pattern in relation to the distribution of cell types across tissue locations, ensuring effective type I error control and high power. Celina proves powerful compared to existing methods in single-cell resolution spatial transcriptomics and stands as the only effective solution for spot-resolution spatial transcriptomics. Applied to five real …

Urine Proteomics Defines An Immune Checkpoint-Associated Nephritis Signature, James P Long, Shailbala Singh, Yanlan Dong, Cassian Yee, Jamie S Lin

Faculty, Staff and Student Publications

Immune checkpoint inhibitor (ICI) therapy is a cornerstone treatment for many cancers, but it can induce severe immunotoxicity, including acute interstitial nephritis (AIN). Currently, kidney biopsy is required to differentiate ICI-AIN from other causes of acute kidney injury (AKI). However, this invasive approach can lead to morbidity, delayed glucocorticoid treatment for patients with AIN, and unnecessarily prolonged suspension of ICI therapy in non-AIN patients. Delayed or incorrect diagnosis of ICI-AIN is particularly detrimental, as over 50% of patients are at risk of permanent renal damage. Thus, there is an urgent need for non-invasive biomarkers that can rapidly and accurately distinguish …

Joint Fluid Multi-Omics Improves Diagnostic Confidence During Evaluation Of Children With Presumed Septic Arthritis, Yolanda Peña-López, Naureen G Tareen, Bo Zhang, Indu Raman, Carlos A Arana, Chengsong Zhu, Yang Liu, Pratibha Selvakumar, Nicolai S C Van Oers, Simrat Morris, Lora V Hooper, Lawson A B Copley, Prithvi Raj

Faculty, Staff and Student Publications

Background: An accurate diagnosis of septic versus reactive or autoimmune arthritis remains clinically challenging. A multi-omics strategy comprising metagenomic and proteomic technologies were undertaken for children diagnosed with presumed septic arthritis to advance clinical diagnoses and care for affected individuals.

Methods: Twelve children with suspected septic arthritis were prospectively enrolled to compare standard of care tests with a rapid multi-omics approach. The multi-omics combined bacterial 16S rRNA metagenomics, single cell transcriptomics, and proteomics on knee joint fluid specimens. The diagnostic value of the multi-omics was ascertained relative to standard of care culture and PCR-negative results.

Results: Ten children with suspected …

Spatial Transcriptome Reveals Histology-Correlated Immune Signature Learnt By Deep Learning Attention Mechanism On H&E-Stained Images For Ovarian Cancer Prognosis, Chun Wai Ng, Kwong-Kwok Wong, Barrett C Lawson, Sammy Ferri-Borgogno, Samuel C Mok

Faculty, Staff and Student Publications

Background: The ability to predict the prognosis of patients with ovarian cancer can greatly improve disease management. However, the knowledge on the mechanism of the prediction is limited. We sought to deconvolute the attention feature learnt by a deep learning convolutional neural networks trained with whole-slide images (WSIs) of hematoxylin-and-eosin (H&E)-stained tumor samples using spatial transcriptomic data.

Methods: In this study, 773 WSIs of H&E-stained tumor sections from 335 patients with treatment naïve high-grade serous ovarian cancer who were included in The Cancer Genome Atlas (TCGA) Pan-Cancer study were used to train, and validate, and to test a ResNet101 CNN …

Atm Expression And Activation In Ataxia Telangiectasia Patients With And Without Class Switch Recombination Defects, Fereshte Salami, Tannaz Moeini Shad, Nazanin Fathi, Hanieh Mojtahedi, Marzie Esmaeili, Sepideh Shahkarami, Ladan Gol Mohammad Pour Afrakoti, Parisa Amirifar, Samaneh Delavari, Hassan Nosrati, Azadehsadat Razavi, Mohammad Reza Ranjouri, Mahsa Yousefpour, Zahra Hamidi Esfahani, Gholamreza Azizi, Mahmoudreza Ashrafi, Nima Rezaei, Reza Yazdani, Hassan Abolhassani

Department of Neurology Faculty Papers

BACKGROUND: Ataxia telangiectasia mutated (ATM) kinase plays a critical role in DNA double-strand break (DSB) repair. Ataxia telangiectasia (A-T) patients exhibit abnormalities in immunoglobulin isotype expression and class switch recombination (CSR). This study investigates the role of residual ATM kinase expression and activity in the severity of A-T disease.

METHODS: A-T patients with defined genetic diagnoses were classified based on CSR and based on the severity of their medical complications. Isolated peripheral blood mononuclear cells from any patient were evaluated before and after exposure to 0.5 Gy ionizing radiation for one minute. Western blotting was performed to identify the expression …

Inhibition Of Vascular Smooth Muscle Cell Perk/Atf4 Er Stress Signaling Protects Against Abdominal Aortic Aneurysms, Brennan Callow, Xiaobing He, Nicholas Juriga, Kevin D Mangum, Amrita Joshi, Xianying Xing, Andrea Obi, Abhijnan Chattopadhyay, Dianna M Milewicz, Mary X O'Riordan, Johann Gudjonsson, Katherine Gallagher, Frank M Davis

Faculty, Staff and Student Publications

Abdominal aortic aneurysms (AAA) are a life-threatening cardiovascular disease for which there is a lack of effective therapy preventing aortic rupture. During AAA formation, pathological vascular remodeling is driven by vascular smooth muscle cell (VSMC) dysfunction and apoptosis, for which the mechanisms regulating loss of VSMCs within the aortic wall remain poorly defined. Using single-cell RNA-Seq of human AAA tissues, we identified increased activation of the endoplasmic reticulum stress response pathway, PERK/eIF2α/ATF4, in aortic VSMCs resulting in upregulation of an apoptotic cellular response. Mechanistically, we reported that aberrant TNF-α activity within the aortic wall induces VSMC ATF4 activation through the …

Stratification System With Dual Human Endogenous Retroviruses For Predicting Immunotherapy Efficacy In Metastatic Clear-Cell Renal Cell Carcinoma, Xiaofan Lu, Yann-Alexandre Vano, Xiaoping Su, Virginie Verkarre, Cheng-Ming Sun, Wenxuan Cheng, Li Xu, Fangrong Yan, Salma Kotti, Wolf Hervé Fridman, Catherine Sautes-Fridman, Stéphane Oudard, Gabriel G Malouf

Faculty, Staff and Student Publications

Background: Endogenous retrovirus (ERV) elements are genomic footprints of ancestral retroviral infections within the human genome. While the dysregulation of ERV transcription has been linked to immune cell infiltration in various cancers, its relationship with immune checkpoint inhibitor (ICI) response in solid tumors, particularly metastatic clear-cell renal cell carcinoma (ccRCC), remains inadequately explored.

Methods: This study analyzed patients with metastatic ccRCC from two prospective clinical trials, encompassing 181 patients receiving nivolumab in the CheckMate trials (-009 to -010 and -025) and 48 patients treated with the ipilimumab-nivolumab combination in the BIONIKK trial. ERV expression was quantified using the ERVmap algorithm …

A Deconvolution Framework That Uses Single-Cell Sequencing Plus A Small Benchmark Data Set For Accurate Analysis Of Cell Type Ratios In Complex Tissue Samples, Shuai Guo, Xiaoqian Liu, Xuesen Cheng, Yujie Jiang, Shuangxi Ji, Qingnan Liang, Andrew Koval, Yumei Li, Leah A Owen, Ivana K Kim, Ana Aparicio, Sanghoon Lee, Anil K Sood, Scott Kopetz, John Paul Shen, John N Weinstein, Margaret M Deangelis, Rui Chen, Wenyi Wang

Faculty, Staff and Student Publications

Bulk deconvolution with single-cell/nucleus RNA-seq data is critical for understanding heterogeneity in complex biological samples, yet the technological discrepancy across sequencing platforms limits deconvolution accuracy. To address this, we utilize an experimental design to match inter-platform biological signals, hence revealing the technological discrepancy, and then develop a deconvolution framework called DeMixSC using this well-matched, that is, benchmark, data. Built upon a novel weighted nonnegative least-squares framework, DeMixSC identifies and adjusts genes with high technological discrepancy and aligns the benchmark data with large patient cohorts of matched-tissue-type for large-scale deconvolution. Our results using two benchmark data sets of healthy retinas and …

The Association Between Thyroid Differentiation Score And Survival Outcomes In Papillary Thyroid Carcinoma, Jennifer R Wang, Mark E Zafereo, Maria E Cabanillas, Chia Chin Wu, Li Xu, Yaoyi Dai, Wenyi Wang, Stephen Y Lai, Ying Henderson, Lauren Erasmus, Michelle D Williams, Corinne Joshu, Debashree Ray

Faculty, Staff and Student Publications

Context: Thyroid differentiation score (TDS), calculated based on mRNA expression levels of 16 genes controlling thyroid metabolism and function, has been proposed as a measure to quantify differentiation in papillary thyroid carcinoma (PTC).

Objective: The objective of this study is to determine whether TDS is associated with survival outcomes across patient cohorts.

Methods: Two independent cohorts of patients with PTC were used: (1) The Cancer Genome Atlas (TCGA) thyroid cancer study (N = 372), (2) MD Anderson Cancer Center (MDACC) cohort (N = 111). The primary survival outcome of interest was progression-free interval (PFI). Association with overall survival (OS) was …

Mitochondrial Uncouplers Inhibit Oncogenic E2f1 Activity And Prostate Cancer Growth, Ohuod Hawsawi, Weinan Xue, Tingting Du, Mengqi Guo, Xiaolin Yu, Mingyi Zhang, Paul S Hoffman, Roni Bollag, Jun Li, Jia Zhou, Hongbo Wang, Junran Zhang, Zheng Fu, Xiaoguang Chen, Chunhong Yan

Faculty, Staff and Student Publications

Mitochondrial uncouplers dissipate proton gradients and deplete ATP production from oxidative phosphorylation (OXPHOS). While the growth of prostate cancer depends on OXPHOS-generated ATP, the oncogenic pathway mediated by the transcription factor E2F1 is crucial for the progression of this deadly disease. Here, we report that mitochondrial uncouplers, including tizoxanide (TIZ), the active metabolite of the Food and Drug Administration (FDA)-approved anthelmintic nitazoxanide (NTZ), inhibit E2F1-mediated expression of genes involved in cell cycle progression, DNA synthesis, and lipid synthesis. Consequently, NTZ/TIZ induces S-phase kinase-associated protein 2 (SKP2)-mediated G1 arrest while impeding DNA synthesis, lipogenesis, and the growth of prostate cancer cells. …

Real-Time Cbct Imaging And Motion Tracking Via A Single Arbitrarily-Angled X-Ray Projection By A Joint Dynamic Reconstruction And Motion Estimation (Dreme) Framework, Hua-Chieh Shao, Tielige Mengke, Tinsu Pan, You Zhang

Faculty, Staff and Student Publications

Objective: Real-time cone-beam computed tomography (CBCT) provides instantaneous visualization of patient anatomy for image guidance, motion tracking, and online treatment adaptation in radiotherapy. While many real-time imaging and motion tracking methods leveraged patient-specific prior information to alleviate under-sampling challenges and meet the temporal constraint (< 500 ms), the prior information can be outdated and introduce biases, thus compromising the imaging and motion tracking accuracy. To address this challenge, we developed a framework dynamic reconstruction and motion estimation (DREME) for real-time CBCT imaging and motion estimation, without relying on patient-specific prior knowledge.

Approach: DREME incorporates a deep learning-based real-time CBCT imaging and motion estimation method into a dynamic CBCT reconstruction framework. The reconstruction framework reconstructs a dynamic sequence of CBCTs in a data-driven manner from a standard pre-treatment scan, without requiring patient-specific prior knowledge. Meanwhile, a convolutional neural network-based motion encoder is jointly trained during the reconstruction …