Genetic Phenomena Commons^™

Likelihood Adaptively Incorporated External Aggregate Information With Uncertainty For Survival Data, Ziqi Chen, Yu Shen, Jing Qin, Jing Ning

Faculty, Staff and Student Publications

Population-based cancer registry databases are critical resources to bridge the information gap that results from a lack of sufficient statistical power from primary cohort data with small to moderate sample size. Although comprehensive data associated with tumor biomarkers often remain either unavailable or inconsistently measured in these registry databases, aggregate survival information sourced from these repositories has been well documented and publicly accessible. An appealing option is to integrate the aggregate survival information from the registry data with the primary cohort to enhance the evaluation of treatment impacts or prediction of survival outcomes across distinct tumor subtypes. Nevertheless, for rare …

The Biological Significance Of Tumor Grade, Age, Enhancement, And Extent Of Resection In Idh-Mutant Gliomas: How Should They Inform Treatment Decisions In The Era Of Idh Inhibitors?, Martin J Van Den Bent, Pim J French, Daniel Brat, Joerg C Tonn, Mehdi Touat, Benjamin M Ellingson, Robert J Young, Johan Pallud, Andreas Von Deimling, Felix Sahm, Dominique Figarella Branger, Raymond Y Huang, Michael Weller, Ingo K Mellinghoff, Tim F Cloughsey, Jason T Huse, Kenneth Aldape, Guido Reifenberger, Gilbert Youssef, Philipp Karschnia, Houtan Noushmehr, Katherine B Peters, Francois Ducray, Matthias Preusser, Patrick Y Wen

Faculty, Staff and Student Publications

The 2016 and 2021 World Health Organization 2021 Classification of central nervous system tumors have resulted in a major improvement in the classification of isocitrate dehydrogenase (IDH)-mutant gliomas. With more effective treatments many patients experience prolonged survival. However, treatment guidelines are often still based on information from historical series comprising both patients with IDH wild-type and IDH-mutant tumors. They provide recommendations for radiotherapy and chemotherapy for so-called high-risk patients, usually based on residual tumor after surgery and age over 40. More up-to-date studies give a better insight into clinical, radiological, and molecular factors associated with the outcome of patients with …

The Cochlear Dose And The Age At Radiotherapy Predict Severe Hearing Loss After Passive Scattering Proton Therapy And Cisplatin In Children With Medulloblastoma, Mohammad H Abu-Arja, Austin L Brown, Jack M Su, M Fatih Okcu, Holly B Lindsay, Susan L Mcgovern, Mary Frances Mcaleer, David R Grosshans, Murali M Chintagumpala, Arnold C Paulino

Faculty, Staff and Student Publications

Background: Hearing loss (HL) is associated with worse neurocognitive outcomes among patients with medulloblastoma. We aimed to identify risk factors associated with severe HL and to evaluate the generalizability of a published HL calculator among patients treated with passive scattering proton therapy (PSPT) and cisplatin.

Methods: We identified patients aged 3-21 years who were treated at our centers between 2007 and 2022. Audiograms were graded using the International Society of Pediatric Oncology (SIOP) Boston scale. Time to grades 3-4 HL was evaluated using Kaplan-Meier and multivariable Cox models to estimate hazard ratios and 95% confidence intervals (CI).

Results: Seventy-nine patients …

Identification Of A Single-Dose, Low-Flip-Angle-Based Cbv Threshold For Fractional Tumor Burden Mapping In Recurrent Glioblastoma, Aliya Anil, Ashley M Stokes, John P Karis, Laura C Bell, Jennifer Eschbacher, Kristofer Jennings, Melissa A Prah, Leland S Hu, Jerrold L Boxerman, Kathleen M Schmainda, C Chad Quarles

Faculty, Staff and Student Publications

Background and purpose: DSC-MR imaging can be used to generate fractional tumor burden (FTB) maps via application of relative CBV thresholds to spatially differentiate glioblastoma recurrence from posttreatment radiation effects (PTRE). Image-localized histopathology was previously used to validate FTB maps derived from a reference DSC-MR imaging protocol by using preload, a moderate flip angle (MFA, 60°), and postprocessing leakage correction. Recently, a DSC-MR imaging protocol with a low flip angle (LFA, 30°) with no preload was shown to provide leakage-corrected relative CBV (rCBV) equivalent to the reference protocol. This study aimed to identify the rCBV thresholds for the LFA protocol …

Semi-Supervised Machine Learning Method For Predicting Homogeneous Ancestry Groups To Assess Hardy-Weinberg Equilibrium In Diverse Whole-Genome Sequencing Studies, Derek Shyr, Rounak Dey, Xihao Li, Hufeng Zhou, Eric Boerwinkle, Steve Buyske, Mark Daly, Richard A Gibbs, Ira Hall, Tara Matise, Catherine Reeves, Nathan O Stitziel, Michael Zody, Benjamin M Neale, Xihong Lin

Faculty, Staff and Student Publications

Large-scale, multi-ethnic whole-genome sequencing (WGS) studies, such as the National Human Genome Research Institute Genome Sequencing Program's Centers for Common Disease Genomics (CCDG), play an important role in increasing diversity for genetic research. Before performing association analyses, assessing Hardy-Weinberg equilibrium (HWE) is a crucial step in quality control procedures to remove low quality variants and ensure valid downstream analyses. Diverse WGS studies contain ancestrally heterogeneous samples; however, commonly used HWE methods assume that the samples are homogeneous. Therefore, directly applying these to the whole dataset can yield statistically invalid results. To account for this heterogeneity, HWE can be tested on …

Synergic Activity Of Fgfr2 And Mek Inhibitors In The Treatment Of Fgfr2-Amplified Cancers Of Unknown Primary, Andrea Cavazzoni, Irene Salamon, Claudia Fumarola, Giulia Gallerani, Noemi Laprovitera, Francesco Gelsomino, Mattia Riefolo, Karim Rihawi, Elisa Porcellini, Tania Rossi, Martina Mazzeschi, Maria Naddeo, Salvatore Serravalle, Elisabetta Broseghini, Federico Agostinis, Olivier Deas, Roberta Roncarati, Giorgio Durante, Ilaria Pace, Mattia Lauriola, Ingrid Garajova, George A Calin, Massimiliano Bonafè, Antonia D'Errico, Pier Giorgio Petronini, Stefano Cairo, Andrea Ardizzoni, Gabriele Sales, Manuela Ferracin

Faculty, Staff and Student Publications

Patients with cancer of unknown primary (CUP) carry the double burden of an aggressive disease and reduced access to therapies. Experimental models are pivotal for CUP biology investigation and drug testing. We derived two CUP cell lines (CUP#55 and #96) and corresponding patient-derived xenografts (PDXs), from ascites tumor cells. CUP cell lines and PDXs underwent histological, immune-phenotypical, molecular, and genomic characterization confirming the features of the original tumor. The tissue-of-origin prediction was obtained from the tumor microRNA expression profile and confirmed by single-cell transcriptomics. Genomic testing and fluorescence in situ hybridization analysis identified FGFR2 gene amplification in both models, in …

Synergic Activity Of Fgfr2 And Mek Inhibitors In The Treatment Of Fgfr2-Amplified Cancers Of Unknown Primary, Andrea Cavazzoni, Irene Salamon, Claudia Fumarola, Giulia Gallerani, Noemi Laprovitera, Francesco Gelsomino, Mattia Riefolo, Karim Rihawi, Elisa Porcellini, Tania Rossi, Martina Mazzeschi, Maria Naddeo, Salvatore Serravalle, Elisabetta Broseghini, Federico Agostinis, Olivier Deas, Roberta Roncarati, Giorgio Durante, Ilaria Pace, Mattia Lauriola, Ingrid Garajova, George A Calin, Massimiliano Bonafè, Antonia D'Errico, Pier Giorgio Petronini, Stefano Cairo, Andrea Ardizzoni, Gabriele Sales, Manuela Ferracin

Faculty, Staff and Student Publications

Patients with cancer of unknown primary (CUP) carry the double burden of an aggressive disease and reduced access to therapies. Experimental models are pivotal for CUP biology investigation and drug testing. We derived two CUP cell lines (CUP#55 and #96) and corresponding patient-derived xenografts (PDXs), from ascites tumor cells. CUP cell lines and PDXs underwent histological, immune-phenotypical, molecular, and genomic characterization confirming the features of the original tumor. The tissue-of-origin prediction was obtained from the tumor microRNA expression profile and confirmed by single-cell transcriptomics. Genomic testing and fluorescence in situ hybridization analysis identified FGFR2 gene amplification in both models, in …

Calibrating Tumor Growth And Invasion Parameters With Spectral Spatial Analysis Of Cancer Biopsy Tissues, Stefano Pasetto, Michael Montejo, Mohammad U Zahid, Marilin Rosa, Robert Gatenby, Pirmin Schlicke, Roberto Diaz, Heiko Enderling

Faculty, Staff and Student Publications

The reaction-diffusion equation is widely used in mathematical models of cancer. The calibration of model parameters based on limited clinical data is critical to using reaction-diffusion equation simulations for reliable predictions on a per-patient basis. Here, we focus on cell-level data as routinely available from tissue biopsies used for clinical cancer diagnosis. We analyze the spatial architecture in biopsy tissues stained with multiplex immunofluorescence. We derive a two-point correlation function and the corresponding spatial power spectral distribution. We show that this data-deduced power spectral distribution can fit the power spectrum of the solution of reaction-diffusion equations that can then identify …

Transcription And Post-Translational Mechanisms: Dual Regulation Of Adiponectin-Mediated Occludin Expression In Diabetes, Yanru Duan, Demin Liu, Huahui Yu, Shihan Zhang, Yihua Xia, Zhiyong Du, Yanwen Qin, Yajing Wang, Xin-Liang Ma, Huirong Liu, Yunhui Du

Department of Emergency Medicine Faculty Papers

BACKGROUND: Occludin, a crucial component of tight junctions, has emerged as a promising biomarker for the diagnosis of acute ischemic disease, highlighting its significant potential in clinical applications. In the diabetes, Occludin serves as a downstream target gene intricately regulated by the adiponectin (APN) signaling pathway. However, the specific mechanism by which adiponectin regulates Occludin expression remains unclear.

METHODS AND RESULTS: Endothelial-specific Ocln knockdown reduced APN-mediated blood flow recovery after femoral artery ligation and nullified APN's protection against high-fat diet (HFD)-triggered apoptosis and angiogenesis inhibition in vivo. Mechanically, we have meticulously elucidated APN's regulatory role in Occludin expression through a …

Lps-Induced Whole-Blood Cytokine Production And Depressive Symptoms In Dementia Spousal Caregivers: The Moderating Effect Of Childhood Trauma, Daniel L Argueta, Kelly N Brice, E Lydia Wu-Chung, Michelle A Chen, Vincent D Lai, Jensine Paoletti-Hatcher, Bryan T Denny, Charles Green, Luis D Medina, Paul Schulz, Jennifer Stinson, Cobi Heijnen, Christopher P Fagundes

Faculty, Staff and Student Publications

Dementia spousal caregivers are at risk for adverse mental and physical health outcomes. Caregiver burden, anticipatory grief, and proinflammatory cytokine production may contribute to depressive symptoms among caregivers. People who report childhood trauma are more likely to have exaggerated stress responses that may also contribute to depressive symptoms in adulthood. This study aimed to test whether the relationship between whole-blood cytokine production and depressive symptoms is strongest in caregivers who report high levels of childhood trauma.

Methods: A sample of 103 dementia spousal caregivers provided self-report data on demographics, health information, caregiver burden, anticipatory grief, and depressive symptoms. We also …

Development And Clinical Implementation Of A Digital Workflow Utilizing 3d-Printed Oral Stents For Patients With Head And Neck Cancer Receiving Radiotherapy, Rance Tino, Millicent A Roach, Gabriela D Fuentes, Anshuman Agrawal, Mohamed Zaid, Dylan J Cooper, Nimit Bajaj, Ruitao Lin, Lianchun Xiao, Lauren L Mayo, Lee R Wiederhold, Shalin J Shah, Molly K Tate, Gregory M Chronowski, Jay P Reddy, Megan Mezera, Justin M Mann, Mark Augspurger, Adegbenga O Otun, Mark S Chambers, Eugene J Koay

Faculty, Staff and Student Publications

Objectives: We describe the development of 3D-printed stents using our digital workflow and their effects on patients enrolled in the lead-in phase of a multi-center, randomized Phase-II trial.

Materials and methods: Digital dental models were created for patients using intraoral scanning. Digital processes were implemented to develop the mouth-opening, tongue-depressing, and tongue-lateralizing stents using stereolithography. Time spent and material 3D-printing costs were measured. Physicians assessed mucositis using the Oral Mucositis Assessment Scale (OMAS) and collected MD Anderson Symptom Inventory (MDASI) reports and adverse events (AEs) from patients at various time points (TPs). OMAS and MDASI results were evaluated using paired …

The Five Homologous Ciar-Controlled Ccn Srnas Of Streptococcus Pneumoniae Modulate Zn-Resistance, Nicholas R De Lay, Nidhi Verma, Dhriti Sinha, Abigail Garrett, Maximillian K Osterberg, Daisy Porter, Spencer Reiling, David P Giedroc, Malcolm E Winkler

Faculty, Staff and Student Publications

Zinc is a vital transition metal for all bacteria; however, elevated intracellular free Zn levels can result in mis-metalation of Mn-dependent enzymes. For Mn-centric bacteria such as Streptococcus pneumoniae that primarily use Mn instead of Fe as an enzyme cofactor, Zn is particularly toxic at high concentrations. Here, we report our identification and characterization of the function of the five homologous, CiaRH-regulated Ccn sRNAs in controlling S. pneumoniae virulence and metal homeostasis. We show that deletion of all five ccn genes (ccnA, ccnB, ccnC, ccnD, and ccnE) from S. pneumoniae strains D39 (serotype 2) and TIGR4 (serotype 4) causes Zn …

Genomic Biomarkers To Predict Response To Atezolizumab Plus Bevacizumab Immunotherapy In Hepatocellular Carcinoma: Insights From The Imbrave150 Trial, Sun Young Yim, Sung Hwan Lee, Seung-Woo Baek, Bohwa Sohn, Yun Seong Jeong, Sang-Hee Kang, Kena Park, Hyewon Park, Sunyoung S Lee, Ahmed O Kaseb, Young Nyun Park, Sun-Hee Leem, Michael A Curran, Ji Hoon Kim, Ju-Seog Lee

Faculty, Staff and Student Publications

Background/aims: Combination immunotherapy, exemplified by atezolizumab plus bevacizumab, has become the standard of care for inoperable hepatocellular carcinoma (HCC). However, the lack of predictive biomarkers and limited understanding of response mechanisms remain a challenge.

Methods: Using data from the IMbrave150plus cohort, we applied an immune signature score (ISS) predictor to stratify HCC patients treated with atezolizumab plus bevacizumab or with sorafenib alone into potential high and low response groups. By applying multiple statistical approaches including a Bayesian covariate prediction algorithm, we refined the signature to 10 key genes (ISS10) for clinical use while maintaining similar predictive power to the full …

Feasibility Of Quantitative Relaxometry For Prostate Target Localization And Response Assessment In Magnetic Resonance-Guided Online Adaptive Stereotactic Body Radiotherapy, Ergys Subashi, Eve Locastro, Sarah Burleson, Aditya Apte, Michael Zelefsky, Neelam Tyagi

Faculty, Staff and Student Publications

Purpose: Multiparametric magnetic resonance imaging (MRI) is known to provide predictors for malignancy and treatment outcome. The inclusion of these datasets in workflows for online adaptive planning remains under investigation. We demonstrate the feasibility of longitudinal relaxometry in online MR-guided adaptive stereotactic body radiotherapy (SBRT) to the prostate and dominant intra-prostatic lesion (DIL).

Methods: Fifty patients with intermediate-risk prostate cancer were included in the study. The clinical target volume (CTV) was defined as the prostate gland plus 1 cm of seminal vesicles. The gross tumor volume (GTV) was defined as the DIL identified on multiparametric MRI. Online adaptive radiotherapy was …

Small-Molecule Ccr4 Antagonists In Cutaneous T-Cell Lymphoma, José S Enriquez, Xiaohong Wang, Loka Reddy Velatooru, Wei Han, Pedram Bijani, Xiao Ni

Faculty, Staff and Student Publications

Mycosis fungoides (MF) and Sézary syndrome (SS) are two most common types of cutaneous T-cell lymphoma (CTCL). Despite advances in understanding the pathogenesis of MF and SS, effective treatments remain limited. CC chemokine receptor-4 (CCR4) is highly expressed on CTCL cells and serves as a great therapeutic target. Mogamulizumab, an FDA-approved anti-CCR4 antibody, has shown efficacy in treating MF/SS; however, its side effects have raised concerns, underscoring the need for more effective and less toxic CCR4-targeted therapies. Although small-molecule CCR4 antagonists have been studied in other diseases involving CCR4⁺ Th2 cells and regulatory T cells, their effects in CTCL …

Evaluating Dynamic And Predictive Discrimination For Recurrent Event Models: Use Of A Time-Dependent C-Index, Jian Wang, Xinyang Jiang, Jing Ning

Faculty, Staff and Student Publications

Interest in analyzing recurrent event data has increased over the past few decades. One essential aspect of a risk prediction model for recurrent event data is to accurately distinguish individuals with different risks of developing a recurrent event. Although the concordance index (C-index) effectively evaluates the overall discriminative ability of a regression model for recurrent event data, a local measure is also desirable to capture dynamic performance of the regression model over time. Therefore, in this study, we propose a time-dependent C-index measure for inferring the model's discriminative ability locally. We formulated the C-index as a function of time using …

Mhc Hammer Reveals Genetic And Non-Genetic Hla Disruption In Cancer Evolution, Clare Puttick, Thomas P Jones, Michelle M Leung, Felipe Galvez-Cancino, Jiali Liu, Manuel Varas-Godoy, Andrew Rowan, Oriol Pich, Carlos Martinez-Ruiz, Robert Bentham, Krijn K Dijkstra, James R M Black, Rachel Rosenthal, Nnennaya Kanu, Kevin Litchfield, Roberto Salgado, David A Moore, Peter Van Loo, Mariam Jamal-Hanjani, Sergio A Quezada, Tracerx Consortium, Charles Swanton, Nicholas Mcgranahan

Faculty, Staff and Student Publications

Disruption of the class I human leukocyte antigen (HLA) molecules has important implications for immune evasion and tumor evolution. We developed major histocompatibility complex loss of heterozygosity (LOH), allele-specific mutation and measurement of expression and repression (MHC Hammer). We identified extensive variability in HLA allelic expression and pervasive HLA alternative splicing in normal lung and breast tissue. In lung TRACERx and lung and breast TCGA cohorts, 61% of lung adenocarcinoma (LUAD), 76% of lung squamous cell carcinoma (LUSC) and 35% of estrogen receptor-positive (ER+) cancers harbored class I HLA transcriptional repression, while HLA tumor-enriched alternative splicing occurred in 31%, 11% …

Biomarker Trajectory For Earlier Detection Of Lung Cancer, Ehsan Irajizad, Johannes F Fahrmann, Iakovos Toumazis, Jody Vykoukal, Jennifer B Dennison, Yu Shen, Kim-Anh Do, Edwin J Ostrin, Ziding Feng, Samir Hanash

Faculty, Staff and Student Publications

Background: To determine whether an algorithm based on repeated measurements of a panel of four circulating protein biomarkers (4 MP) for lung cancer risk assessment results in improved performance over a single time measurement.

Methods: We conducted data analysis of the 4 MP consisting of the precursor form of surfactant protein B, cancer antigen 125, carcinoembryonic antigen, and cytokeratin-19 fragment in pre-diagnostic sera from 2483 ever-smoker participants (389 cases and 2094 randomly selected non-cases) in the Prostate, Lung, Colorectal, Ovarian (PLCO) Study who had at least two sequential blood collections over 6 years. A parametric empirical Bayes (PEB) algorithm, which …

Meta-Analysis Of Censored Adverse Events, Xinyue Qi, Shouhao Zhou, Christine B Peterson, Yucai Wang, Xinying Fang, Michael L Wang, Chan Shen

Faculty, Staff and Student Publications

Meta-analysis is a powerful tool for assessing drug safety by combining treatment-related toxicological findings across multiple studies, as clinical trials are typically underpowered for detecting adverse drug effects. However, incomplete reporting of adverse events (AEs) in published clinical studies is frequently encountered, especially if the observed number of AEs is below a pre-specified study-dependent threshold. Ignoring the censored AE information, often found in lower frequency, can significantly bias the estimated incidence rate of AEs. Despite its importance, this prevalent issue in meta-analysis has received little statistical or analytic attention in the literature. To address this challenge, we propose a Bayesian …

Author Correction: Oligodendroglial Fatty Acid Metabolism As A Central Nervous System Energy Reserve, Ebrahim Asadollahi, Andrea Trevisiol, Aiman S Saab, Zoe J Looser, Payam Dibaj, Reyhane Ebrahimi, Kathrin Kusch, Torben Ruhwedel, Wiebke Möbius, Olaf Jahn, Jun Yup Lee, Anthony S Don, Michelle-Amirah Khalil, Karsten Hiller, Myriam Baes, Bruno Weber, E Dale Abel, Andrea Ballabio, Brian Popko, Celia M Kassmann, Hannelore Ehrenreich, Johannes Hirrlinger, Klaus-Armin Nave

Duncan NRI Faculty and Staff Publications

No abstract provided.