Medical Genetics Commons^™

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 …

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 …

Romi: A Randomized Two-Stage Basket Trial Design To Optimize Doses For Multiple Indications, Shuqi Wang, Peter F Thall, Kentaro Takeda, Ying Yuan

Faculty, Staff and Student Publications

Optimizing doses for multiple indications is challenging. The pooled approach of finding a single optimal biological dose (OBD) for all indications ignores that dose-response or dose-toxicity curves may differ between indications, resulting in varying OBDs. Conversely, indication-specific dose optimization often requires a large sample size. To address this challenge, we propose a Randomized two-stage basket trial design that Optimizes doses in Multiple Indications (ROMI). In stage 1, for each indication, response and toxicity are evaluated for a high dose, which may be a previously obtained maximum tolerated dose, with a rule that stops accrual to indications where the high dose …

Whole-Exome Sequencing Uncovers The Genetic Complexity Of Bicuspid Aortic Valve In Families With Early-Onset Complications, Sara Mansoorshahi, Anji T Yetman, Malenka M Bissell, Yuli Y Kim, Hector I Michelena, Julie De Backer, Laura Muiño Mosquera, Dawn S Hui, Anthony Caffarelli, Maria G Andreassi, Ilenia Foffa, Dongchuan Guo, Rodolfo Citro, Margot De Marco, Justin T Tretter, Shaine A Morris, Simon C Body, Jessica X Chong, Michael J Bamshad, Dianna M Milewicz, Siddharth K Prakash

Faculty, Staff and Student Publications

Bicuspid aortic valve (BAV) is the most common congenital heart lesion with an estimated population prevalence of 1%. We hypothesize that specific gene variants predispose to early-onset complications of BAV (EBAV). We analyzed whole-exome sequences (WESs) to identify rare coding variants that contribute to BAV disease in 215 EBAV-affected families. Predicted damaging variants in candidate genes with moderate or strong supportive evidence to cause developmental cardiac phenotypes were present in 107 EBAV-affected families (50% of total), including genes that cause BAV (9%) or heritable thoracic aortic disease (HTAD, 19%). After appropriate filtration, we also identified 129 variants in 54 candidate …

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 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 …

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 …

Whole-Genome Sequencing In 333,100 Individuals Reveals Rare Non-Coding Single Variant And Aggregate Associations With Height, Gareth Hawkes, Robin N. Beaumont, Zilin Li, Ravi Mandla, Xihao Li, Christine M. Albert, Donna K. Arnett, Allison E. Ashley-Koch, Aneel A. Ashrani, Joanne E. Curran

School of Medicine Publications

The role of rare non-coding variation in complex human phenotypes is still largely unknown. To elucidate the impact of rare variants in regulatory elements, we performed a whole-genome sequencing association analysis for height using 333,100 individuals from three datasets: UK Biobank (N = 200,003), TOPMed (N = 87,652) and All of Us (N = 45,445). We performed rare ( < 0.1% minor-allele-frequency) single-variant and aggregate testing of non-coding variants in regulatory regions based on proximal-regulatory, intergenic-regulatory and deep-intronic annotation. We observed 29 independent variants associated with height at P <  after conditioning on previously reported variants, with effect sizes ranging from −7cm to +4.7 cm. We also identified and replicated non-coding aggregate-based associations proximal to HMGA1 containing variants associated with a 5 cm taller height and of highly-conserved variants in MIR497HG on chromosome 17. We have developed an approach for identifying non-coding rare variants in regulatory regions with large effects from whole-genome sequencing data associated with complex traits.

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 …

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 …

Advances In Biomedical Research And Treatments: What Is Acceptable?, Michael L. Clancy, Khalid M. Iskandarani, Mitchell C. Mccrea

Journal of Health Ethics

This study investigated the technology acceptance (TA) of twenty-first century biomedical treatments by adults in the United States. A new TA instrument was created, using five distinct levels: (1) Healing and Prevention, (2) Replacement Organs, (3) Enhancements-Medical, (4) Enhancements-Discretionary, and (5) Transhumans. An on-line survey produced 353 usable responses, which showed distinct patterns for each of five biomedical treatment levels. There was clear support for Levels 1–3, but very strong opposition to Levels 4–5. The TA finding draws the line between which human interventions are acceptable versus others that should be prohibited through public policies and medical guidelines.

Human Embryonic Genetic Mosaicism And Its Effects On Development And Disease, Sarah M Waldvogel, Jennifer E Posey, Margaret A Goodell

Center on Aging Staff Publications

Nearly every mammalian cell division is accompanied by a mutational event that becomes fixed in a daughter cell. When carried forward to additional cell progeny, a clone of variant cells can emerge. As a result, mammals are complex mosaics of clones that are genetically distinct from one another. Recent high-throughput sequencing studies have revealed that mosaicism is common, clone sizes often increase with age and specific variants can affect tissue function and disease development. Variants that are acquired during early embryogenesis are shared by multiple cell types and can affect numerous tissues. Within tissues, variant clones compete, which can result …

Temporal Recording Of Mammalian Development And Precancer, Mirazul Islam, Yilin Yang, Alan J Simmons, Vishal M Shah, Krushna Pavan Musale, Yanwen Xu, Naila Tasneem, Zhengyi Chen, Linh T Trinh, Paola Molina, Marisol A Ramirez-Solano, Iannish D Sadien, Jinzhuang Dou, Andrea Rolong, Ken Chen, Mark A Magnuson, Jeffrey C Rathmell, Ian G Macara, Douglas J Winton, Qi Liu, Hamim Zafar, Reza Kalhor, George M Church, Martha J Shrubsole, Robert J Coffey, Ken S Lau

Faculty, Staff and Student Publications

Temporal ordering of cellular events offers fundamental insights into biological phenomena. Although this is traditionally achieved through continuous direct observations1,2, an alternative solution leverages irreversible genetic changes, such as naturally occurring mutations, to create indelible marks that enables retrospective temporal ordering3–5. Using a multipurpose, single-cell CRISPR platform, we developed a molecular clock approach to record the timing of cellular events and clonality in vivo, with incorporation of cell state and lineage information. Using this approach, we uncovered precise timing of tissue-specific cell expansion during mouse embryonic development, unconventional developmental relationships between cell …

A Protein Expression Atlas On Tissue Samples And Cell Lines From Cancer Patients Provides Insights Into Tumor Heterogeneity And Dependencies, Jun Li, Wei Liu, Kamalika Mojumdar, Hong Kim, Zhicheng Zhou, Zhenlin Ju, Shwetha V Kumar, Patrick Kwok-Shing Ng, Han Chen, Michael A Davies, Yiling Lu, Rehan Akbani, Gordon B Mills, Han Liang

Faculty, Staff and Student Publications

The Cancer Genome Atlas (TCGA) and the Cancer Cell Line Encyclopedia (CCLE) are foundational resources in cancer research, providing extensive molecular and phenotypic data. However, large-scale proteomic data across various cancer types for these cohorts remain limited. Here, we expand upon our previous work to generate high-quality protein expression data for approximately 8,000 TCGA patient samples and around 900 CCLE cell line samples, covering 447 clinically relevant proteins, using reverse-phase protein arrays. These protein expression profiles offer profound insights into intertumor heterogeneity and cancer dependency and serve as sensitive functional readouts for somatic alterations. We develop a systematic protein-centered strategy …

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 …

Il-22 Resolves Masld Via Enterocyte Stat3 Restoration Of Diet-Perturbed Intestinal Homeostasis, Peng Zhang, Junlai Liu, Allen Lee, Irene Tsaur, Masafumi Ohira, Vivian Duong, Nicholas Vo, Kosuke Watari, Hua Su, Ju Youn Kim, Li Gu, Mandy Zhu, Shabnam Shalapour, Mojgan Hosseini, Gautam Bandyopadhyay, Suling Zeng, Cristina Llorente, Haoqi Nina Zhao, Santosh Lamichhane, Siddharth Mohan, Pieter C Dorrestein, Jerrold M Olefsky, Bernd Schnabl, Pejman Soroosh, Michael Karin

Faculty, Staff and Student Publications

The exponential rise in metabolic dysfunction-associated steatotic liver disease (MASLD) parallels the ever-increasing consumption of energy-dense diets, underscoring the need for effective MASLD-resolving drugs. MASLD pathogenesis is linked to obesity, diabetes, "gut-liver axis" alterations, and defective interleukin-22 (IL-22) signaling. Although barrier-protective IL-22 blunts diet-induced metabolic alterations, inhibits lipid intake, and reverses microbial dysbiosis, obesogenic diets rapidly suppress its production by small intestine-localized innate lymphocytes. This results in STAT3 inhibition in intestinal epithelial cells (IECs) and expansion of the absorptive enterocyte compartment. These MASLD-sustaining aberrations were reversed by administration of recombinant IL-22, which resolved hepatosteatosis, inflammation, fibrosis, and insulin resistance. Exogenous …

Methods For Pragmatic Randomized Clinical Trials Of Pain Therapies: Immpact Statement, David Hohenschurz-Schmidt, Dan Cherkin, Andrew S C Rice, Robert H Dworkin, Dennis C Turk, Michael P Mcdermott, Matthew J Bair, Lynn L Debar, Robert R Edwards, Scott R Evans, John T Farrar, Robert D Kerns, Michael C Rowbotham, Ajay D Wasan, Penney Cowan, Mckenzie Ferguson, Roy Freeman, Jennifer S Gewandter, Ian Gilron, Hanna Grol-Prokopczyk, Smriti Iyengar, Cornelia Kamp, Barbara I Karp, Bethea A Kleykamp, John D Loeser, Sean Mackey, Richard Malamut, Ewan Mcnicol, Kushang V Patel, Kenneth Schmader, Lee Simon, Deborah J Steiner, Christin Veasley, Jan Vollert

Faculty, Staff and Student Publications

Pragmatic, randomized, controlled trials hold the potential to directly inform clinical decision making and health policy regarding the treatment of people experiencing pain. Pragmatic trials are designed to replicate or are embedded within routine clinical care and are increasingly valued to bridge the gap between trial research and clinical practice, especially in multidimensional conditions, such as pain and in nonpharmacological intervention research. To maximize the potential of pragmatic trials in pain research, the careful consideration of each methodological decision is required. Trials aligned with routine practice pose several challenges, such as determining and enrolling appropriate study participants, deciding on the …

Inhibition Of Hepatic Oxalate Overproduction Ameliorates Metabolic Dysfunction-Associated Steatohepatitis, Sandeep Das, Alexandra C Finney, Sumit Kumar Anand, Sumati Rohilla, Yuhao Liu, Nilesh Pandey, Alia Ghrayeb, Dhananjay Kumar, Kelley Nunez, Zhipeng Liu, Fabio Arias, Ying Zhao, Brenna H Pearson-Gallion, M Peyton Mckinney, Koral S E Richard, Jose A Gomez-Vidal, Chowdhury S Abdullah, Elizabeth D Cockerham, Joseph Eniafe, Andrew D Yurochko, Tarek Magdy, Christopher B Pattillo, Christopher G Kevil, Babak Razani, Md Shenuarin Bhuiyan, Erin H Seeley, Gretchen E Galliano, Bo Wei, Lin Tan, Iqbal Mahmud, Ida Surakka, Minerva T Garcia-Barrio, Philip L Lorenzi, Eyal Gottlieb, Eduardo Salido, Jifeng Zhang, A Wayne Orr, Wanqing Liu, Monica Diaz-Gavilan, Y Eugene Chen, Nirav Dhanesha, Paul T Thevenot, Ari J Cohen, Arif Yurdagul, Oren Rom

Faculty, Staff and Student Publications

The incidence of metabolic dysfunction-associated steatohepatitis (MASH) is on the rise, and with limited pharmacological therapy available, identification of new metabolic targets is urgently needed. Oxalate is a terminal metabolite produced from glyoxylate by hepatic lactate dehydrogenase (LDHA). The liver-specific alanine-glyoxylate aminotransferase (AGXT) detoxifies glyoxylate, preventing oxalate accumulation. Here we show that AGXT is suppressed and LDHA is activated in livers from patients and mice with MASH, leading to oxalate overproduction. In turn, oxalate promotes steatosis in hepatocytes by inhibiting peroxisome proliferator-activated receptor-α (PPARα) transcription and fatty acid β-oxidation and induces monocyte chemotaxis via C-C motif chemokine ligand 2. In …

Does Time To Initiation Of Adjuvant Radiotherapy Affect Reconstruction Outcomes After Endoscopic Resection Of Skull Base Malignancies?, Franco Rubino, Bledi Brahimaj, Ehab Y Hanna, Shirley Y Su, Jack Phan, David R Grosshans, Franco Demonte, Shaan M Raza

Faculty, Staff and Student Publications

Introduction and Objective It is unclear if the length of the time interval to initiation of adjuvant radiation therapy (RT) after endoscopic endonasal surgery affects reconstruction outcomes. In this study we present our experience with adjuvant RT after endoscopic endonasal procedures, to determine if the time to RT after surgery impacts post-RT reconstruction complication rates.

Methods A retrospective cohort study of 164 patients who underwent endoscopic endonasal surgery between 1998 and 2021 was conducted. Using Cox proportional hazard ratios (HRs), we evaluated several variables and the complications that occurred during the 1-year period after starting RT.

Results Seventy-eight (47.5%) and …

Multifocal, Multiphenotypic Tumours Arising From An Mtor Mutation Acquired In Early Embryogenesis, Clarissa N Pacyna, Madhanagopal Anandapadamanaban, Kevin W Loudon, Iain M Hay, Olga Perisic, Ruoyan Li, Matthew Byrne, Laura Allen, Kirsty Roberts, Yvette Hooks, Anne Y Warren, Grant D Stewart, Menna R Clatworthy, Sarah A Teichmann, Sam Behjati, Peter J Campbell, Roger L Williams, Thomas J Mitchell

Faculty, Staff and Student Publications

Embryogenesis is a vulnerable time. Mutations in developmental cells can result in the wide dissemination of cells predisposed to disease within mature organs. We characterised the evolutionary history of four synchronous renal tumours from a 14-year-old girl using whole genome sequencing alongside single cell and bulk transcriptomic sequencing. Phylogenetic reconstruction timed the origin of all tumours to a multipotent embryonic cell committed to the right kidney, around 4 weeks post-conception. Biochemical and structural analysis of their shared MTOR mutation, absent from normal tissues, demonstrates enhanced protein flexibility, enabling a FAT domain hinge to dramatically increase activity of mTORC1 and mTORC2. …

Dual Targeting Macrophages And Microglia Is A Therapeutic Vulnerability In Models Of Pten-Deficient Glioblastoma, Yang Liu, Junyan Wu, Hinda Najem, Yiyun Lin, Lizhi Pang, Fatima Khan, Fei Zhou, Heba Ali, Amy B Heimberger, Peiwen Chen

Faculty, Staff and Student Publications

Tumor-associated macrophages and microglia (TAMs) are critical for tumor progression and therapy resistance in glioblastoma (GBM), a type of incurable brain cancer. We previously identified lysyl oxidase (LOX) and olfactomedin like-3 (OLFML3) as essential macrophage and microglia chemokines, respectively, in GBM. Here, single-cell transcriptomics and multiplex sequential immunofluorescence followed by functional studies demonstrate that macrophages negatively correlate with microglia in the GBM tumor microenvironment. LOX inhibition in PTEN-deficient GBM cells upregulates OLFML3 expression via the NF-κB-PATZ1 signaling pathway, inducing a compensatory increase of microglia infiltration. Dual targeting macrophages and microglia via inhibition of LOX and the CLOCK-OLFML3 axis generates potent …

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 …

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 …

Genevic: Genetic Data Exploration And Visualization Via Intelligent Interactive Console, Anindita Nath, Savannah Mwesigwa, Yulin Dai, Xiaoqian Jiang, Zhongming Zhao

Faculty, Staff and Student Publications

The vast generation of genetic data poses a significant challenge in efficiently uncovering valuable knowledge. Introducing GENEVIC, an AI-driven chat framework that tackles this challenge by bridging the gap between genetic data generation and biomedical knowledge discovery. Leveraging generative AI, notably ChatGPT, it serves as a biologist’s “copilot.” It automates the analysis, retrieval, and visualization of customized domain-specific genetic information, and integrates functionalities to generate protein interaction networks, enrich gene sets, and search scientific literature from PubMed, Google Scholar, and arXiv, making it a comprehensive tool for biomedical research. In its pilot phase, GENEVIC is assessed using a curated database …

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 …

Improving Access In Medical Physics Residency Programs For Physicists With Disabilities, Jessica M Fagerstrom, Grace Eliason, Hania Al-Hallaq, Brian A Taylor, Muhammad Ramish Ashraf, Natalie Viscariello

Faculty, Staff and Student Publications

Within the landscape of medical physics education, residency programs are instrumental in imparting hands-on training and experiential knowledge to early-career physicists. Ensuring access to educational opportunities for physicists with disabilities is a legal, ethical, and pragmatic requirement for programs, considering that a significant proportion of the United States population has a disability. Grounded in conceptual frameworks of competency-based medical education and the social model of disability, this work provides an introduction to some practical recommendations for medical physics residency programs. Strategies include embracing universal design principles, fostering partnerships with disability service offices, using inclusive language, developing and publicizing clear procedures …

Exploring Age And Gender Disparities In Cardiometabolic Phenotypes And Lipidomic Signatures Among Chinese Adults: A Nationwide Cohort Study, Xiaojing Jia, Hong Lin, Ruizhi Zheng, Shuangyuan Wang, Yilan Ding, Chunyan Hu, Mian Li, Yu Xu, Min Xu, Guixia Wang, Lulu Chen, Tianshu Zeng, Ruying Hu, Zhen Ye, Lixin Shi, Qing Su, Yuhong Chen, Xuefeng Yu, Li Yan, Tiange Wang, Zhiyun Zhao, Guijun Qin, Qin Wan, Gang Chen, Meng Dai, Di Zhang, Bihan Qiu, Xiaoyan Zhu, Jie Zheng, Xulei Tang, Zhengnan Gao, Feixia Shen, Xuejiang Gu, Zuojie Luo, Yingfen Qin, Li Chen, Xinguo Hou, Yanan Huo, Qiang Li, Yinfei Zhang, Chao Liu, Youmin Wang, Shengli Wu, Tao Yang, Huacong Deng, Jiajun Zhao, Yiming Mu, Shenghan Lai, Donghui Li, Weiguo Hu, Guang Ning, Weiqing Wang, Yufang Bi, Jieli Lu, 4c Study Group

Faculty, Staff and Student Publications

Understanding sex disparities in modifiable risk factors across the lifespan is essential for crafting individualized intervention strategies. We aim to investigate age-related sex disparity in cardiometabolic phenotypes in a large nationwide Chinese cohort. A total of 254,670 adults aged 40 years or older were selected from a population-based cohort in China. Substantial sex disparities in the prevalence of metabolic diseases were observed across different age strata, particularly for dyslipidemia and its components. Generalized additive models were employed to characterize phenotype features, elucidating how gender differences evolve with advancing age. Half of the 16 phenotypes consistently exhibited no sex differences, while …