Genetic Phenomena Commons^™

Designing An Electronic Patient-Reported Outcomes Information Infrastructure Supported By The Re-Aim Implementation Framework, Amy C Moreno, Angela Peek, Toshiko S Stein, Kevin R Shook, Sara M Ali, Laia Humbert-Vidan, Aileen Chen, Miriam Lango, Anna Lee, Michael Spiotto, William H Morrison, Adam S Garden, Jack Phan, Steven J Frank, Katherine Hutcheson, David I Rosenthal, Clifton D Fuller, G Brandon Gunn

Faculty, Staff and Student Publications

Objective: Patient-reported outcomes (PROs) contain valuable information that can be leveraged by providers to perform timely interventions and improve quality of life and survival. However, the implementation of electronic PROs (ePROs) remains a challenge from technical and evaluation perspectives. Our objective was to construct a robust electronic health record (EHR)-integrated ePRO information infrastructure founded on RE-AIM (reach-effectiveness-adoption-implementation-maintenance) principles.

Materials and methods: We used Epic Systems as our EHR platform to build the MD Anderson Symptom Index Head and Neck Module (MDASI-HN) for release to all patients undergoing evaluation and/or treatment in our HN Radiation Oncology clinics. RE-AIM metrics were established …

Using Extension-Based Mrna Display To Design Antibody-Like Proteinogenic Peptides For Human Pd-L1, Justin N Ong, Brian J Grindel, Scott A Rankin, Sarah H Naylon, Anupallavi Srinivasamani, Guillaume J Trusz, Xiaowen Liang, Md Nasir Uddin, Lauren Fuller, Michael Curran, Stephane P Roche, Terry T Takahashi, Richard W Roberts, Steven W Millward

Faculty, Staff and Student Publications

Many peptide drugs rely on nonproteinogenic amino acids and chemical modifications for improved activity and proteolytic stability. However, these features also make drug production expensive and challenging to scale. Here, we engineered small, linear, proteinogenic peptides that bind human programmed death-ligand 1 (hPD-L1) with high affinity and stability using mRNA display affinity maturation. The resulting peptides, SPAM2 and SPAM3, have antibody-like affinities for hPD-L1 (dissociation constants between ~250 and 300 pM) and are selective for hPD-L1. Both SPAM2 and SPAM3 compete with hPD-L1 ligands known to interact with the programmed cell death protein 1 site and are stable in human …

Mechanisms Underlying Treatment-Resistant Depression: Exploring Sex-Based Biological Differences, Francisco E R Da Silva, Atakan Yucel, Antonio P M Menezes, Ana C Ruiz, Marcela C Carbajal Tamez, Tatiana Barichello, Giselli Scaini, Joao Quevedo

Faculty, Staff and Student Publications

Treatment-resistant depression (TRD) represents a severe and complex subtype of major depressive disorder (MDD), affecting approximately 30% of patients who fail to respond adequately to multiple standard antidepressant therapies. While the pathophysiology of TRD remains incompletely understood, emerging evidence suggests that sex-based biological differences might influence its onset, progression, and treatment response. Women are disproportionately affected by depression and are more likely to experience residual symptoms and treatment resistance, potentially due to hormonal fluctuations, immune system differences, and variations in brain circuitry and neuroplasticity. This narrative explores the current literature on the mechanisms underlying TRD, with a particular emphasis on …

Risk Of Second Primary Lung Cancer Among Cancer Survivors Stratified By The Site Of First Primary Cancer And The Lung Cancer Screening Eligibility Status, Sara Nofal, Edwin J Ostrin, Jianjun Zhang, Jia Wu, Paul Scheet, Mara B Antonoff, John V Heymach, Iakovos Toumazis

Faculty, Staff and Student Publications

Personal history of cancer is an independent risk factor for developing lung cancer. However, it is not considered in the current US lung cancer screening (LCS) guidelines. In this study, we assessed the risk of developing lung cancer among cancer survivors across 24 different sites of first primary cancer stratified by their LCS eligibility status. Using data from the Patient History Database at the University of Texas MD Anderson Cancer Center, we calculated and compared the cumulative incidence of second primary lung cancer, the overall and the LCS eligibility status-specific, stratified by the site of first primary cancer among cancer …

Correction: Imaging In Pelvic Exenteration-A Multidisciplinary Practice Guide From The Esgar-Sar-Esur-Pelvex Collaborative Group, Stephanie Nougaret, Doenja M J Lambregts, Geerard L Beets, Regina G H Beets-Tan, Lennart Blomqvist, David Burling, Quentin Denost, Maria A Gambacorta, Benedetta Gui, Ann Klopp, Yulia Lakhman, Kate E Maturen, Riccardo Manfredi, Iva Petkovska, Luca Russo, Atul B Shinagare, James A Stephenson, Damian Tolan, Aradhana M Venkatesan, Aaron J Quyn, Rosemarie Forstner

Faculty, Staff and Student Publications

No abstract provided.

Spatial Colocalization And Molecular Crosstalk Of Myofibroblastic Cafs And Tumor Cells Shape Lymph Node Metastasis In Oral Squamous Cell Carcinoma, Ken Furudate, Shuya Kasai, Tadashi Yoshizawa, Yuya Sasaki, Kohei Fujikura, Shintaro Goto, Ryohei Ito, Koki Takagi, Tomoyuki Tanaka, Hiroshi Kijima, Kosei Kubota, Ken Itoh, Wataru Kobayashi, Koichi Takahashi

Faculty, Staff and Student Publications

Lymph node metastasis (LNM) is a critical prognostic factor for patients with oral squamous cell carcinoma (OSCC). Previous research has implicated the partial epithelial-to-mesenchymal transition of tumor cells and myofibroblastic cancer-associated fibroblasts (myCAFs) in the LNM process. However, the underlying molecular mechanisms remain poorly understood. Here, we conducted a comprehensive molecular analysis integrating original and publicly available OSCC data from bulk genome and transcriptome, single-cell transcriptome, and spatial transcriptome analyses. We found that myCAFs were quantitatively and functionally activated in LNM-positive samples and spatially colocalized with OSCC cells within the invasive tumor front (ITF), providing a niche that may facilitate …

Dna Methylation Cooperates With Genomic Alterations During Non-Small Cell Lung Cancer Evolution, Francisco Gimeno-Valiente, Carla Castignani, Elizabeth Larose Cadieux, Nana E Mensah, Xiaohong Liu, Kezhong Chen, Olga Chervova, Takahiro Karasaki, Clare E Weeden, Corentin Richard, Siqi Lai, Carlos Martínez-Ruiz, Emilia L Lim, Alexander M Frankell, Thomas B K Watkins, Georgia Stavrou, Ieva Usaite, Wei-Ting Lu, Daniele Marinelli, Sadegh Saghafinia, Gareth A Wilson, Pawan Dhami, Heli Vaikkinen, Jonathan Steif, Selvaraju Veeriah, Robert E Hynds, Martin Hirst, Crispin Hiley, Andrew Feber, Özgen Deniz, Mariam Jamal-Hanjani, Nicholas Mcgranahan, Tracerx Consortium, Stephan Beck, Jonas Demeulemeester, Miljana Tanić, Charles Swanton, Peter Van Loo, Nnennaya Kanu

Faculty, Staff and Student Publications

Aberrant DNA methylation has been described in nearly all human cancers, yet its interplay with genomic alterations during tumor evolution is poorly understood. To explore this, we performed reduced representation bisulfite sequencing on 217 tumor and matched normal regions from 59 patients with non-small cell lung cancer from the TRACERx study to deconvolve tumor methylation. We developed two metrics for integrative evolutionary analysis with DNA and RNA sequencing data. Intratumoral methylation distance quantifies intratumor DNA methylation heterogeneity. MR/MN classifies genes based on the rate of hypermethylation at regulatory (MR) versus nonregulatory (MN) CpGs to identify driver genes exhibiting recurrent functional …

In Situ Programming Of The Tumor Microenvironment To Alleviate Immunosuppression For Pancreatic Cancer Immunotherapy, Man Sun, Huan Zhang, Yarui Ma, Simiao Wang, Jiayi Chen, Yaxin Cui, Yun Zhang, Siyuan Hu, Dan Zhou, Pengchen Zhang, Yahui Liu, Betty Y S Kim, Wen Jiang, Xiaobing Wang, Zhaogang Yang

Faculty, Staff and Student Publications

Recent studies have highlighted the pivotal role of the cGAS‐STING pathway in cancer immunotherapy. However, clinical trials with cGAS‐STING pathway agonists have faced setbacks thanks to their short biological half‐life, lack of tumor specificity, and potential to promote tumor immune evasion. To address these challenges, a novel exosome‐based drug delivery platform, termed cmExoaCD11b is developed, designed to precisely target and reprogram the tumor microenvironment (TME) in situ for pancreatic cancer immunotherapy. cmExoaCD11b is engineered to encapsulate high copy numbers of IL‐12 mRNA and 2′3’‐cGAMP (cGAMP) and is functionalized with CD11b antibodies for targeted delivery to macrophages. Notably, cmExoaCD11b facilitated the …

Sex Disparities In Chlamydia And Gonorrhea Treatment In Us Adult Emergency Departments: A Systematic Review And Meta-Analysis, Rachel E Solnick, Rahi Patel, Ethan Chang, Carmen Vargas-Torres, Maaz Munawar, Carlin Pendell, Judith E Smith, Ethan Cowan, Keith E Kocher, Roland C Merchant

Faculty, Staff and Student Publications

BACKGROUND: Empiric antibiotic treatment for gonorrhea (GC) and chlamydia (CT) is common in U.S. emergency departments (EDs) due to the delayed availability of test results. Local studies have identified sex-based disparities in sexually transmitted infection (STI) care, with females potentially receiving less empiric treatment than males. This study evaluates how STI treatment aligns with laboratory-confirmed results to quantify potential overtreatment and undertreatment rates and investigates sex differences for these outcomes.

METHODS: We conducted a preregistered (PROSPERO #241429) systematic review and meta-analysis of studies published between January 2010 and January 2025 in U.S. EDs, excluding studies conducted exclusively in pediatric settings. …

Author Correction: Clonal Evolution Of Hematopoietic Stem Cells After Autologous Stem Cell Transplantation, Hidetaka Uryu, Koichi Saeki, Hiroshi Haeno, Chiraag Deepak Kapadia, Ken Furudate, Jyoti Nangalia, Michael Spencer Chapman, Linda Zhang, Jennifer Padilla, Li Zhao, Joanne I Hsu, Chong Zhao, Shujuan Chen, Tomoyuki Tanaka, Zongrui Li, Satoko Ogata, Sarah Hanache, Hui Yang, Courtney Dinardo, Naval Daver, Naveen Pemmaraju, Nitin Jain, Farhad Ravandi, Jianhua Zhang, Xingzhi Song, Erika Thompson, Hongli Tang, Latasha Little, Curtis Gumbs, Robert Z Orlowski, Muzaffar Qazilbash, Kapil Bhalla, Simona Colla, Hagop Kantarjian, Rashmi Kanagal-Shamanna, Carlos Bueso-Ramos, Daisuke Nakada, Gheath Al-Atrash, Jeffery Molldrem, P Andrew Futreal, Elizabeth Shpall, Margaret Goodell, Guillermo Garcia-Manero, Koichi Takahashi

Faculty, Staff and Student Publications

No abstract provided.

Heightened Risk: Childhood Trauma And Anticipatory Grief Exacerbate The Impact Of Loneliness On Depressive Symptoms And Lps-Stimulated Cytokines In Dementia Caregivers, Kelly N Brice, Jensine Paoletti-Hatcher, E Lydia Wu-Chung, Vincent D Lai, Daniel L Argueta, Michelle A Chen, Itee Mahant, Bryan T Denny, Charles Green, Luis D Medina, Paul Schulz, Jennifer Stinson, Samantha K Henry, Cobi Heijnen, Christopher P Fagundes

Faculty, Staff and Student Publications

Dementia spousal caregivers are at a disproportionate risk for adverse mental and physical health outcomes. Loneliness is associated with depressive symptoms and proinflammatory cytokine production among caregivers. Additionally, childhood trauma, anticipatory grief, and poor sleep quality are all associated with enhanced stress reactivity. This study used a cross-sectional design to investigate whether loneliness is associated with proinflammatory cytokine production and depressive symptoms in caregivers, and whether these relationships are strongest among caregivers who report high levels of childhood trauma, high amounts of anticipatory grief, or poor sleep quality. A sample of 111 dementia spousal caregivers provided blood samples and completed …

The Effect Of Tert Promoter Mutation On Predicting Meningioma Outcomes: A Multi-Institutional Cohort Analysis, Karenna J Groff, Ruchit V Patel, Yang Feng, Hia S Ghosh, Miguel A Millares Chavez, Joseph O'Brien, William C Chen, Vijay Nitturi, Akshay V Save, Mark W Youngblood, Craig M Horbinski, James P Chandler, Felix Ehret, Chloe Gui, Justin Z Wang, Kristen Park, Sonia Ajmera, Marc Rosenblum, Abigail K Suwala, Catena Kresbach, Christopher W Mount, Ulrich Schüller, Sandro Santagata, Felix Sahm, Tejus A Bale, Christina Jackson, Timothy E Richardson, Chunyu Cai, Farshad Nassiri, Gelareh Zadeh, David Kaul, David Capper, Stephen T Magill, John G Golfinos, Chandra Sen, Akash J Patel, David R Raleigh, Jennifer Moliterno, Donato Pacione, Matija Snuderl, Wenya Linda Bi

Duncan NRI Faculty and Staff Publications

Background: Molecular aberrations have been incorporated into tumour classification guidelines of meningioma. TERT-promoter (TERTp) mutation is associated with worse prognosis and is designated a WHO grade 3 biomarker. However, it remains unclear whether TERTp mutation is context-dependent, with other co-occurring genetic alterations potentially driving its association with prognosis. We sought to characterise the role of TERTp mutation in meningioma and guide TERTp sequencing.

Methods: We identified 1492 patients of all ages who had previously received surgery for meningioma across 14 medical centres in the USA, Canada, and Germany. Patients were eligible if they had post-surgical clinical or radiographical assessment of …

Plasma Lipidome Dysregulation In Frontotemporal Dementia Reveals Shared, Genotype-Specific, And Severity-Linked Alterations., Yohannes A Ambaw, Peter A Ljubenkov, Shubham Singh, Abdi Hamed, Sebastian Boland, Adam L Boxer, Tobias C Walther, Robert V Farese

Duncan NRI Faculty and Staff Publications

Introduction: Biomarkers are essential for monitoring the progression of frontotemporal dementia (FTD). Although dysregulated brain lipid metabolism, particularly sphingolipids enriched in the nervous system, is a key feature of neurodegeneration, plasma lipids remain underexplored as biomarkers compared to imaging and serum proteins.

Methods: We examined plasma lipidomes using liquid chromatography-tandem mass spectrometry (LC-MS/MS) from individuals carrying pathogenic variants linked to autosomal dominant FTD (GRN, C9orf72, MAPT) and non-carriers.

Results: FTD subjects exhibited increased plasma levels of gangliosides (GM3(d18:1_16:0), GM3(d18:1_24:1)), ceramide Cer(d18:1_23:0), and select polyunsaturated triacylglycerols. In contrast, phosphatidylethanolamine (PE(18:0_24:0) and sphingomyelin (SM(38:0) were reduced. Subtype-specific changes included elevated glucosylsphingosine (GlcSph(d18:1) …

From Imaging To Impact: A Multi-Disciplinary T32 Program Framework And Initial Insights For Training In Image-Guided Cancer Therapy, Kari J Brewer Savannah, Stephen Y Lai, Clifton D Fuller, Kristy K Brock

Faculty, Staff and Student Publications

As multi-disciplinary image-guided assessment and therapies become increasingly important for precision oncology, the need for comprehensive training opportunities that effectively prepare the next generation of clinician-scientists and scientists is evident. We present an innovative, evidence-based research training framework that integrates the following critical features: 1) intentional and personalized mentoring and career development, 2) immersive research in image-guided cancer therapy, 3) strategic mentored clinical exposure, 4) structured didactic learning and professional development opportunities, and 5) mentored grant writing. Designed to foster scientific rigor, translational thinking, and multi-disciplinary collaboration, the Image-Guided Cancer Therapy T32 Training Program (IGCT-T32) aims to prepare postdoctoral fellows …

Biomarkers For The Diagnosis Of Indeterminate Pulmonary Nodules: Are We There Yet?, Kevin C Mcgann, Timothy A Khalil, Michael N Kammer, Edwin J Ostrin, Harvey I Pass, Jun-Chieh James Tsay, Leopoldo N Segal, Melissa Potter, Stephen A Deppen, Fabien Maldonado, Eric L Grogan

Faculty, Staff and Student Publications

Indeterminate pulmonary nodules (IPNs), which are nodules that cannot be classified as definitively benign or malignant at the time of detection, are now diagnosed on the order of millions per year. Management of IPNs remains heavily debated, and routine practice ultimately involves some balance of overall clinical risk assessment and additional diagnostic tests or procedures which may generate significant risk, cost, and worry. Biomarkers are biologically based tests or indicators capable of accurately characterizing the physiologic properties of homeostasis and disease that are not otherwise easily evaluated by the clinician. Accurate biomarkers thereby serve as reliable surrogates for biological aberrancy, …

Expression Graph Network Framework For Biomarker Discovery, Yang Liu, Jason Huse, Kasthuri Kannan

Faculty, Staff and Student Publications

Biomarker discovery for complex diseases, such as cancer, hinges on uncovering molecular signatures that capture intricate, interconnected relationships within biological data-a challenge that traditional statistical and machine learning methods often fail to meet due to the complexity of high-dimensional gene expression profiles. To overcome this, we introduce the expression graph network framework (EGNF). This cutting-edge graph-based approach integrates graph neural networks with network-based feature engineering to enhance the predictive identification of biomarkers. EGNF constructs biologically informed networks by combining gene expression data and clinical attributes within a graph database, utilizing hierarchical clustering to generate dynamic, patient-specific representations of molecular interactions. …

Auprc: A Metric For Evaluating The Performance Of In-Silico Perturbation Methods In Identifying Differentially Expressed Genes, Hongxu Zhu, Amir Asiaee, Leila Azinfar, Jun Li, Han Liang, Ehsan Irajizad, Kim-Anh Do, James P Long

Faculty, Staff and Student Publications

In silico perturbation models, computational methods that can predict cellular responses to perturbations, present an opportunity to reduce the need for costly and time-intensive in vitro experiments. Many recently proposed models predict high-dimensional cellular responses, such as gene or protein expression to perturbations such as gene knockout or drugs. However, evaluating in silico performance has largely relied on metrics such as $R^{2}$, which assess overall prediction accuracy but fail to capture biologically significant outcomes like the identification of differentially expressed (DE) genes. In this study, we present a novel evaluation framework that introduces the AUPRC metric to assess the precision …

Whole-Genome Sequence-Based Association Analysis Of African American Individuals With Bipolar Disorder And Schizophrenia, Runjia Li, Sarah A Gagliano Taliun, Kevin Liao, Matthew Flickinger, Janet L Sobell, Giulio Genovese, Adam E Locke, Rebeca Rothwell Chiu, Jonathon Lefaive, Jiongming Wang, Taylor Martins, Sinéad Chapman, Anna Neumann, Robert E Handsaker, Donna K Arnett, Kathleen C Barnes, Eric Boerwinkle, David Braff, Brian E Cade, Myriam Fornage, Richard A Gibbs, Karin F Hoth, Lifang Hou, Charles Kooperberg, Ruth J F Loos, Ginger A Metcalf, Courtney G Montgomery, Alanna C Morrison, Zhaohui S Qin, Susan Redline, Alexander P Reiner, Stephen S Rich, Jerome I Rotter, Kent D Taylor, Karine A Viaud-Martinez, Tim B Bigdeli, Stacey Gabriel, Sebastian Zollner, Albert V Smith, Goncalo Abecasis, Steve A Mccarroll, Michele T Pato, Carlos N Pato, Michael Boehnke, James Knowles, Hyun Min Kang, Roel A Ophoff, Jason Ernst, Laura J Scott

Faculty, Staff and Student Publications

In studies of individuals of primarily European genetic ancestry, common and low-frequency variants and rare coding variants have been found to be associated with the risk of bipolar disorder (BD) and schizophrenia (SZ). However, less is known for individuals of other genetic ancestries or the role of rare non-coding variants in BD and SZ risk. We performed whole-genome sequencing (∼27X) of African American individuals: 1,598 with BD, 3,295 with SZ, and 2,651 unaffected controls (InPSYght study). We increased power by incorporating 14,812 jointly called psychiatrically unscreened ancestry-matched controls from the Trans-Omics for Precision Medicine (TOPMed) Program for a total of …

Cross-Platform Transcriptomic Data Integration Identifies An Overactive Neuro-Immune Signature In Human Osteoarthritis Synovium, Michael D Newton, Hannah Swahn, Dana E Orange, Joseph B Lesnak, Theodore J Price, Anne-Marie Malfait, Rachel E Miller, Martin K Lotz, Tristan Maerz

Faculty, Staff and Student Publications

Objective: Chronic synovitis is associated with osteoarthritis (OA) pain, but the molecular underpinnings remain unclear. Our objective was to characterize the transcriptional phenotype of OA synovium with a focus on signaling relevant to pain.

Design: Eight publicly-available microarray and RNA-sequencing GEO datasets from human non-OA and OA subjects underwent quality control and re-analysis for differentially-expressed genes (DEGs). Cross-platform statistical integration was performed via a weighted Z-test to combine detection power across datasets. Gene set enrichment, cell type enrichment, and regulon analyses were performed. Human single-cell RNA sequencing data was used to map gene expression to cell types. Ligand-receptor interactions were …

Deciphering Transcriptomic Changes In Chemobrain: A Comprehensive Review, Tusar Kanta Acharya, Yuan Pan, Peter M Grace, Cobi J Heijnen, Rajasekaran Mahalingam

Faculty, Staff and Student Publications

Chemotherapy-induced cognitive impairments (CICI), colloquially known as "chemobrain," represents a profound and debilitating side effect experienced by a significant number of cancer survivors, impacting their memory, multitasking, and quality of life. This review critically evaluates the molecular mechanisms underlying CICI, with a particular focus on the insights gained from transcriptomic analyses. As cancer incidence rises globally, understanding the complex interplay between chemotherapy agents and their cognitive repercussions becomes increasingly vital. Key mechanisms implicated in CICI include blood-brain barrier disruption, neuroinflammation, and oxidative stress as a result of various chemotherapy treatments, such as doxorubicin, cisplatin, and paclitaxel. We delve into advanced …