Genetic Phenomena Commons^™

Patterns Of Loco-Regional Progression And Patient Outcomes After Definitive-Dose Radiation Therapy For Anaplastic Thyroid Cancer, Julianna K Bronk, Alexander Augustyn, Abdallah S R Mohamed, C David Fuller, Adam S Garden, Amy C Moreno, Anna Lee, William H Morrison, Jack Phan, Jay P Reddy, David I Rosenthal, Michael T Spiotto, Steven J Frank, Ramona Dadu, Naifa Busaidy, Mark Zafereo, Jennifer R Wang, Anastasios Maniakas, Renata Ferrarotto, Priyanka C Iyer, Maria E Cabanillas, G Brandon Gunn

Faculty, Staff and Student Publications

Background: The aim of this study is to characterize the patterns of loco-regional progression (LRP) and outcomes after definitive-dose intensity modulated radiation therapy (IMRT) for anaplastic thyroid cancer (ATC) with macroscopic neck disease at the time of IMRT.

Methods: Disease/treatment characteristics and outcomes for patients with unresected or incompletely resected ATC who received IMRT (≥45 Gy) were retrospectively reviewed. For those with LRP after IMRT, progressive/recurrent gross tumor volumes (rGTV) were contoured on diagnostic CTs and co-registered with initial planning CTs using deformable image registration. rGTVs were classified based on established spatial/dosimetric criteria.

Results: Forty patients treated between 2010-2020 formed …

Selective Inhibition Of Canonical Stat3 Signaling Suppresses K-Ras Mutant Lung Tumorigenesis And Reinvigorates Anti-Tumor Immunity, Michael J Clowers, Zahraa Rahal, Sung-Nam Cho, Avantika Krishna, Bo Yuan, Leticia G Hamana Zorrilla, T Kris Eckols, Moses M Kasembeli, Samuel Liu, Stephen Peng, Marco Ramos-Castaneda, Annamarie L Thompson, Carlos Ignacio Rodriguez Reyna, Katherine E Larsen, Maria T Grimaldo, Shanshan Deng, Nastaran Karimi, Cody Chou, Walter V Velasco, Melody Zarghooni, Sayan Alekseev, Luisa M Solis Soto, Edwin J Ostrin, Humam Kadara, Suhendan Ekmekcioglu, David J Tweardy, Seyed Javad Moghaddam

Faculty, Staff and Student Publications

Introduction: K-ras mutant lung adenocarcinoma (KM-LUAD) is a difficult-to-treat cancer subtype in which chronic inflammation pervades the tumor immune microenvironment (TIME). Pro-inflammatory pathways dampen the response to treatments, including immune checkpoint inhibitors, necessitating therapies that target this inflammatory signaling network in the TIME. One of the lynchpins of chronic inflammation in KM-LUAD is signal transducer and activator of transcription 3 (STAT3).

Methods: Here, we tested the anti-tumor and early immunotherapeutic efficacy of TTI-101, a selective small-molecule inhibitor of canonical STAT3 signaling, in a K-rasG12D mutant lung cancer mouse model (CC-LR).

Results: Treatment of CC-LR mice with TTI-101 resulted in reduced …

Dedifferentiated Liposarcomas Treated With Immune Checkpoint Blockade: The Md Anderson Experience, Madeline B Torres, Cheuk Hong Leung, Marianne Zoghbi, Rossana Lazcano, Davis Ingram, Khalida Wani, Emily Z Keung, M Alejandra Zarzour, Christopher P Scally, Kelly K Hunt, Anthony Conley, Andrew J Bishop, B Ashleigh Guadagnolo, Ahsan Farooqi, Devarati Mitra, Alison K Yoder, Michael S Nakazawa, Dejka Araujo, Andrew Livingston, Ravin Ratan, Shreyaskumar Patel, Vinod Ravi, Alexander J Lazar, Christina L Roland, Neeta Somaiah, Elise F Nassif Haddad

Faculty, Staff and Student Publications

Background: Dedifferentiated liposarcoma (DDLPS) is one of the most common types of soft tissue sarcoma (STS) characterized by liposarcomatous differentiation and a predilection for the retroperitoneum. Despite the growing number of histology-specific immune checkpoint blockade (ICB) trials in STS, it is still difficult to identify the radiographic objective response rate (ORR) for DDLPS in the real world setting. This study aimed to evaluate the ORR and survival of patients with DDLPS treated with ICB at a single center.

Methods: We conducted a retrospective study of 31 patients with pathologically confirmed DDLPS treated with ICB at MD Anderson Cancer Center between …

A Plain Language Summary Of The Final Analysis Of The Griffin Study Of Daratumumab Plus Lenalidomide, Bortezomib, And Dexamethasone For People With Newly Diagnosed Multiple Myeloma, Peter M Voorhees, Douglas W Sborov, Jacob Laubach, Jonathan L Kaufman, Brandi Reeves, Cesar Rodriguez, Rebecca Silbermann, Luciano J Costa, Larry D Anderson, Nitya Nathwani, Nina Shah, Naresh Bumma, Yvonne A Efebera, Sarah A Holstein, Caitlin Costello, Andrzej Jakubowiak, Tanya M Wildes, Robert Z Orlowski, Kenneth H Shain, Andrew J Cowan, Shira Dinner, Katharine S Gries, Huiling Pei, Annelore Cortoos, Sharmila Patel, Thomas S Lin, Saad Z Usmani, Paul G Richardson

Faculty, Staff and Student Publications

No abstract provided.

Grape-Pi: Graph-Based Neural Networks For Enhanced Protein Identification In Proteomics Pipelines, Chunhui Gu, Seyyed Mahmood Ghasemi, Yining Cai, Johannes F Fahrmann, James P Long, Hiroyuki Katayama, Chong Wu, Jody Vykoukal, Jennifer B Dennison, Samir Hanash, Kim-Anh Do, Ehsan Irajizad

Faculty, Staff and Student Publications

Motivation: Protein identification via mass spectrometry (MS) is the primary method for untargeted protein detection. However, the identification process is challenging due to data complexity and the need to control false discovery rates (FDR) of protein identification. To address these challenges, we developed a graph neural network (GNN)-based model, Graph Neural Network using Protein-Protein Interaction for Enhancing Protein Identification (Grape-Pi), which is applicable to all proteomics pipelines. This model leverages protein-protein interaction (PPI) data and employs two types of message-passing layers to integrate evidence from both the target protein and its interactors, thereby improving identification accuracy.

Results: Grape-Pi achieved significant …

A Critical Assessment Of Artificial Intelligence In Magnetic Resonance Imaging Of Cancer, Chengyue Wu, Meryem Abbad Andaloussi, David A Hormuth, Ernesto A B F Lima, Guillermo Lorenzo, Casey E Stowers, Sriram Ravula, Brett Levac, Alexandros G Dimakis, Jonathan I Tamir, Kristy K Brock, Caroline Chung, Thomas E Yankeelov

Faculty, Staff and Student Publications

Given the enormous output and pace of development of artificial intelligence (AI) methods in medical imaging, it can be challenging to identify the true success stories to determine the state-of-the-art of the field. This report seeks to provide the magnetic resonance imaging (MRI) community with an initial guide into the major areas in which the methods of AI are contributing to MRI in oncology. After a general introduction to artificial intelligence, we proceed to discuss the successes and current limitations of AI in MRI when used for image acquisition, reconstruction, registration, and segmentation, as well as its utility for assisting …

Inhibition Of Nitric Oxide Synthase Transforms Carotid Occlusion-Mediated Benign Oligemia Into De Novo Large Cerebral Infarction, Ha Kim, Jinyong Chung, Jeong Wook Kang, Dawid Schellingerhout, Soo Ji Lee, Hee Jeong Jang, Inyeong Park, Taesu Kim, Dong-Seok Gwak, Ji Sung Lee, Sung-Ha Hong, Kang-Hoon Je, Hee-Joon Bae, Joohon Sung, Eng H Lo, James Faber, Cenk Ayata, Dong-Eog Kim

Faculty, Staff and Student Publications

No abstract provided.

Refining The Interpretation Of Variants Of Uncertain Significance In Hereditary Cancer Screening Through Integrated Rna Sequencing, Youbao Sha, J Bryce Ortiz, Sara L Bristow, Kate Loranger, Linyan Meng, Xiaonan Zhao, Fan Xia, Sheetal Parmar, Adam C Elnaggar, Wenbo Xu

Faculty, Staff and Students Publications

Purpose: Although up to 25% of germline variants are predicted to affect splicing, most are classified as variants of uncertain significance (VUS) because of the limited understanding of their functional consequences. Here, we investigated the impact of RNA sequencing (RNA-seq) data on the ability to resolve splicing-related VUS.

Methods: Patients with VUS predicted to alter splicing identified through commercial hereditary cancer testing between October 2021 to July 2023 were included. RNA-seq was used to compare splicing patterns between patient blood samples and normal controls. VUS reclassification rates were calculated.

Results: In total, 411 VUS in 52 genes predicted to affect …

Genetic Landscape Of Hypertrophic Cardiomyopathy In Hong Kong Chinese Population, Derek P H Lee, Ye Cao, Lilei Zhang

Faculty, Staff and Students Publications

Introduction: Asian populations are underrepresented in the hypertrophic cardiomyopathy (HCM) genomic databases, which are currently largely dominated by Caucasian population. We aim to characterize the genetic landscape of HCM in patients from Hong Kong Chinese population.

Methods: From March 2023 to March 2024, fifty-three unrelated patients with an unequivocal clinical diagnosis of HCM were enrolled at a single tertiary center in Hong Kong and underwent genetic testing using a standardized 19-gene panel.

Results: In this cohort study, we identified 13 patients (24.5%) with a predominant pathogenic or likely pathogenic (P/LP) variant and 12 patients (22.6%) with a predominant variant of …

Refining The Interpretation Of Variants Of Uncertain Significance In Hereditary Cancer Screening Through Integrated Rna Sequencing, Youbao Sha, J Bryce Ortiz, Sara L Bristow, Kate Loranger, Linyan Meng, Xiaonan Zhao, Fan Xia, Sheetal Parmar, Adam C Elnaggar, Wenbo Xu

Faculty, Staff and Students Publications

Purpose: Although up to 25% of germline variants are predicted to affect splicing, most are classified as variants of uncertain significance (VUS) because of the limited understanding of their functional consequences. Here, we investigated the impact of RNA sequencing (RNA-seq) data on the ability to resolve splicing-related VUS.

Methods: Patients with VUS predicted to alter splicing identified through commercial hereditary cancer testing between October 2021 to July 2023 were included. RNA-seq was used to compare splicing patterns between patient blood samples and normal controls. VUS reclassification rates were calculated.

Results: In total, 411 VUS in 52 genes predicted to affect …

Heterologous Prime-Pull Mucosal Vaccination With An Adjuvanted Rbd Vaccine Elicits Robust Iga Production And Protects Against Sars-Cov-2, Allyson H Hirsch, Calder R Ellsworth, William A Lewis, Ryan Craig, Amy E Meyer, Jonatan Maldonado, Frania Ramirez Lopez, Syamala Rani Thimmiraju, James B Mclachlan, Xuebin Qin, Nicholas J Maness, Jeroen Pollet, Ulrich Strych, Maria Elena Bottazzi, Peter J Hotez, Lisa A Morici

Faculty, Staff and Students Publications

Despite the efficacy of approved severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines in preventing severe disease and death, breakthrough infections continue to occur in vaccinated individuals, contributing to further viral mutation and spread. These limitations may be attributable to the poor induction of mucosal immunity by parenteral vaccination. Mucosal adjuvants, such as T-vant, can enhance vaccine-induced immune responses through the generation of antigen-specific antibodies and T cells in the respiratory tract. In this study, we evaluated the protective efficacy of adjuvanted SARS-CoV-2 receptor binding domain (RBD) subunit vaccines administered by homologous and heterologous routes. Immunized mice were challenged with …

Experiences From Dual Genome Next-Generation Sequencing Panel Testing For Mitochondrial Disorders: A Comprehensive Molecular Diagnosis, Elizabeth Gorman, Hongzheng Dai, Yanming Feng, William James Craigen, David C Y Chen, Fan Xia, Linyan Meng, Pengfei Liu, Robert Rigobello, Arpita Neogi, Christine M Eng, Yue Wang

Faculty, Staff and Students Publications

Introduction: The molecular diagnosis of mitochondrial disorders is complicated by phenotypic variability, genetic heterogeneity, and the complexity of mitochondrial heteroplasmy. Next-generation sequencing (NGS) of the mitochondrial genome in combination with a targeted panel of nuclear genes associated with mitochondrial disease provides the highest likelihood of obtaining a comprehensive molecular diagnosis. To assess the clinical utility of this approach, we describe the results from a retrospective review of patients having dual genome panel testing for mitochondrial disease.

Methods: Dual genome panel testing by NGS was performed on a cohort of 1,509 unrelated affected individuals with suspected mitochondrial disorders. This test included …

Paternal Upd (15) With Disease-Causing Mutation And Small Supernumerary Ring Chromosome 15: A Case Report, David Lee Curtis, Nasim Bekheirnia, Lorraine Potocki, Ludmila Matyakhina, Mir Reza Bekheirnia

Faculty, Staff and Students Publications

Uniparental disomy (UPD) constitutes an unconventional mode of inheritance that disrupts the typical biparental genetic contribution and may result in phenotypic abnormalities. This report centers on a patient diagnosed with Bartter syndrome Type 1, attributed to a homozygous pathogenic variant in SLC12A1 unmasked by mosaic paternal UPD of chromosome 15. We hypothesize that this pattern (or constellation) emerged from a trisomy rescue event, resulting in two distinct cell lines. Concurrently, the unmasking of a pathogenic paternal SLC12A1 variant by trisomy rescue resulted in the manifestation of Bartter syndrome Type 1. The maternally derived ring chromosome 15 and its impact on …

Autosomal Dominant Hk1-Related Neurodevelopmental Disorder With Visual Defects And Brain Anomalies (Nedviba): An Emerging Mitochondrial Disorder, Bobby G Ng, Erik A Eklund, Jill A Rosenfeld, Abdallah F Elias, Aya Abu-El-Haija, Celine Bris, Magalie Barth, Jong-Hee Chae, Murim Choi, Holly A Dubbs, Carl Fratter, Nicola Foulds, Candace Gamble, Ralitza H Gavrilova, Jaclyn Haven, Trevor L Hoffman, Jill V Hunter, Austin Larson, Timothy Edward Lotze, Pilar Magoulas, Emily C Magness, Debra M Bootin, Eric D Marsh, Victoria Nesbitt, Matthew T Pastore, Joanna Poulton, Shamima Rahman, Fernando Scaglia, Chaya Murali, Jennifer Posey, Joshua Rotenberg, Betsy Schmalz, Deepali N Shinde, Zöe Powis, Rivka Sukenik-Halevy, Kristen V Truxal, Tami Uster, Matheus Vernet Machado Bressan Wilke, Erik Klee, Hyewon Woo, Donald Younkin, Jianhua Zhao, Jorge Granadillo, Seema Lalani, David Chitayat, Wendy K Chung, Hudson H Freeze, Volkan Okur

Faculty, Staff and Students Publications

Purpose: Hexokinase 1 (HK1) encodes a ubiquitously expressed hexokinase, which is responsible for the first step of glycolysis, phosphorylation of glucose to glucose-6-phosphate. Both autosomal recessive and dominant variants in this gene have previously been shown to cause human disease, and presently, there are clinical data available for 27 individuals with the monoallelic neurodevelopmental disorder with visual defects and brain anomalies. Delineation of the entire phenotypic spectrum and genotype-phenotype relations will aid in management and counseling decisions.

Methods: We present molecular and clinical data on 22 additional individuals with heterozygous, mostly de novo, variants in HK1. We …

Monoallelic Expression Can Govern Penetrance Of Inborn Errors Of Immunity, O'Jay Stewart, Conor Gruber, Haley E Randolph, Roosheel Patel, Meredith Ramba, Enrica Calzoni, Lei Haley Huang, Jay Levy, Sofija Buta, Angelica Lee, Christos Sazeides, Zoe Prue, David P Hoytema Van Konijnenburg, Ivan K Chinn, Luis A Pedroza, James R Lupski, Erica G Schmitt, Megan A Cooper, Anne Puel, Xiao Peng, Stéphanie Boisson-Dupuis, Jacinta Bustamante, Satoshi Okada, Marta Martin-Fernandez, Jordan S Orange, Jean-Laurent Casanova, Joshua D Milner, Dusan Bogunovic

Faculty, Staff and Students Publications

Inborn errors of immunity (IEIs) are genetic disorders that underlie susceptibility to infection, autoimmunity, autoinflammation, allergy and/or malignancy1. Incomplete penetrance is common among IEIs despite their monogenic basis2. Here we investigate the contribution of autosomal random monoallelic expression (aRMAE), a somatic commitment to the expression of one allele3,4, to phenotypic variability observed in families with IEIs. Using a clonal primary T cell system to assess aRMAE status of genes in healthy individuals, we find that 4.30% of IEI genes and 5.20% of all genes undergo aRMAE. Perturbing H3K27me3 and DNA methylation alters …

Correction: Genetic Landscape Of Hypertrophic Cardiomyopathy In Hong Kong Chinese Population, Derek P H Lee, Ye Cao, Lilei Zhang

Faculty, Staff and Students Publications

[This corrects the article DOI: 10.3389/fgene.2025.1583838.].

Examining Parents’ Perceptions Of Their Children’S Autism And Completion Of Genetic Testing, Georgina J Sakyi, Sarah S Mire, Robin P Goin-Kochel, Chaya N Murali, Susan X Day

Faculty, Staff and Students Publications

Though genetic testing is recommended for children diagnosed with autism spectrum disorder (ASD), both internal (e.g. parents’ and providers’ valuation of genetic testing) and external (e.g. insurance coverage) barriers exist, and exploration of these factors is required to close the gap between provider recommendations and parent follow-through. In a sample of 290 parents, we explored (a) how parents’ ASD-related etiological beliefs and symptom attributions, as well as income, affected genetic testing completion; and (b) whether these factors influence parents’ hopes or concerns about genetic testing. Principal component analysis (PCA) was used to investigate the factor structure of the ASD attribution …

Whole Exome Sequencing As A Screening Tool In Dogs: A Pilot Study, Fréderique Boeykens, Evelien Bogaerts, Liesbeth Vossaert, Luc Peelman, Filip Van Nieuwerburgh, Jimmy H Saunders, Bart J G Broeckx

Faculty, Staff and Students Publications

Background: Whole-exome sequencing (WES) is used to selectively sequence all exons of protein-coding genes. WES is considered as a cost-effective and direct approach for identifying phenotype-associated variants in protein-coding regions and is as such situated between the traditional Sanger sequencing and whole genome sequencing (WGS). While WES is already widely used as a clinical tool in human and medical genetics, its use in veterinary medicine is currently restricted to research purposes. In this article, we aimed to provide baseline performance characteristics of a WES design to assess its suitability with future applications in veterinary clinical genetics in mind.

Methods: To …

Mixed-Methods Evaluation And Behavior Change Interventions To Improve Hand Hygiene Resources And Practices Among Healthcare Workers In Polyclinics And Health Centers In Belize, 2023, Anh N Ly, Kelsey Mcdavid, Christina Craig, Rosalva Blanco, Vickie Romero, Melissa Diaz-Musa, Francis Morey, Russell Manzanero, Gerhaldine Morazan, Makenzie Towery, Anna Impellitteri, Matthew Lozier, Kristy O Murray

Faculty, Staff and Students Publications

Background: Hand hygiene (HH) is an effective public health measure to prevent the spread of infections in healthcare settings. A previous study in Belize showed gaps in HH practices in hospitals and large polyclinics; however, there are limited national data assessing access to and use of HH resources in smaller outpatient primary care facilities, especially in rural areas.

Methods: In February 2023, facility assessments were conducted at 26 health centers and polyclinics in Belize to assess the availability of HH resources. Of these, 12 pilot healthcare facilities (HCF) were selected for additional evaluation, which included observation of HH practices, hand …

Overview Of The Head And Neck Tumor Segmentation For Magnetic Resonance Guided Applications (Hnts-Mrg) 2024 Challenge, Kareem A Wahid, Cem Dede, Dina M El-Habashy, Serageldin Kamel, Michael K Rooney, Yomna Khamis, Moamen R A Abdelaal, Sara Ahmed, Kelsey L Corrigan, Enoch Chang, Stephanie O Dudzinski, Travis C Salzillo, Brigid A Mcdonald, Samuel L Mulder, Lucas Mccullum, Qusai Alakayleh, Carlos Sjogreen, Renjie He, Abdallah S R Mohamed, Stephen Y Lai, John P Christodouleas, Andrew J Schaefer, Mohamed A Naser, Clifton D Fuller

Faculty, Staff and Student Publications

Magnetic resonance (MR)-guided radiation therapy (RT) is enhancing head and neck cancer (HNC) treatment through superior soft tissue contrast and longitudinal imaging capabilities. However, manual tumor segmentation remains a significant challenge, spurring interest in artificial intelligence (AI)-driven automation. To accelerate innovation in this field, we present the Head and Neck Tumor Segmentation for MR-Guided Applications (HNTS-MRG) 2024 Challenge, a satellite event of the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. This challenge addresses the scarcity of large, publicly available AI-ready adaptive RT datasets in HNC and explores the potential of incorporating multi-timepoint data to enhance RT …

Disruption Of Distal Appendage Protein Cep164 Causes Skeletal Malformation In Mice, Hiroyuki Yamaguchi, Megumi Kitami, Margaret Li, Sowmya Swaminathan, Radbod Darabi, Ken-Ichi Takemaru, Yoshihiro Komatsu

Faculty, Staff and Student Publications

The primary cilium is a cellular antenna to orchestrate cell growth and differentiation. Deficient or dysfunctional cilia are frequently linked to skeletal abnormalities. Previous research demonstrated that ciliary proteins regulating axoneme elongation are essential for skeletogenesis. However, the role of the ciliary proteins responsible for initiating cilium assembly in skeletal development remains unknown. Here, we investigate the function of centrosomal protein of 164 kDa (CEP164), a key ciliogenesis regulator that localizes at the distal appendages of the mother centriole, during skeletal development in mice. Interestingly, the mesodermal cell-specific Cep164 deletion resulted in severe bone defects and osteoblast-specific deletion of Cep164 …

A Bayesian Pharmacokinetics Integrated Phase I-Ii Design To Optimize Dose-Schedule Regimes, Mengyi Lu, Ying Yuan, Suyu Liu

Faculty, Staff and Student Publications

The schedule of administering a drug has profound impact on the toxicity and efficacy profiles of the drug through changing its pharmacokinetics (PK). PK is an innate and indispensable component of the dose-schedule optimization. Motivated by this, we propose a Bayesian PK integrated dose-schedule finding (PKIDS) design to identify the optimal dose-schedule regime by integrating PK, toxicity, and efficacy data. Based on the causal pathway that dose and schedule affect PK, which in turn affects efficacy and toxicity, we jointly model the three endpoints by first specifying a Bayesian hierarchical model for the marginal distribution of the longitudinal dose-concentration process. …

Predicting Kidney Graft Function And Failure Among Kidney Transplant Recipients, Yi Yao, Brad C Astor, Wei Yang, Tom Greene, Liang Li

Faculty, Staff and Student Publications

Background: Graft loss is a major health concern for kidney transplant (KTx) recipients. It is of clinical interest to develop a prognostic model for both graft function, quantified by estimated glomerular filtration rate (eGFR), and the risk of graft failure. Additionally, the model should be dynamic in the sense that it adapts to accumulating longitudinal information, including time-varying at-risk population, predictor-outcome association, and clinical history. Finally, the model should also properly account for the competing risk by death with a functioning graft. A model with the features above is not yet available in the literature and is the focus of …

The Win Ratio Approach In Bayesian Monitoring For Two-Arm Phase Ii Clinical Trial Designs With Multiple Time-To-Event Endpoints, Xinran Huang, Jian Wang, Jing Ning

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To assess the preliminary therapeutic impact of a novel treatment, futility monitoring is commonly employed in Phase II clinical trials to facilitate informed decisions regarding the early termination of trials. Given the rapid evolution in cancer treatment development, particularly with new agents like immunotherapeutic agents, the focus has often shifted from objective response to time-to-event endpoints. In trials involving multiple time-to-event endpoints, existing monitoring designs typically select one as the primary endpoint or employ a composite endpoint as the time to the first occurrence of any event. However, relying on a single efficacy endpoint may not adequately evaluate an experimental …

Nos Inhibition Sensitizes Metaplastic Breast Cancer To Pi3k Inhibition And Taxane Therapy Via C-Jun Repression, Tejaswini Reddy, Akshjot Puri, Liliana Guzman-Rojas, Christoforos Thomas, Wei Qian, Jianying Zhou, Hong Zhao, Bijan Mahboubi, Adrian Oo, Young-Jae Cho, Baek Kim, Jose Thaiparambil, Roberto Rosato, Karina Ortega Martinez, Maria Florencia Chervo, Camila Ayerbe, Noah Giese, David Wink, Stephen Lockett, Stephen Wong, Jeffrey Chang, Savitri Krishnamurthy, Clinton Yam, Stacy Moulder, Helen Piwnica-Worms, Funda Meric-Bernstam, Jenny Chang

Faculty, Staff and Student Publications

Metaplastic breast cancer (MpBC) is a highly chemoresistant subtype of breast cancer with no standardized therapy options. A clinical study in anthracycline-refractory MpBC patients suggested that nitric oxide synthase (NOS) inhibitor NG-monomethyl-l-arginine (L-NMMA) may augment anti-tumor efficacy of taxane. We report that NOS blockade potentiated response of human MpBC cell lines and tumors to phosphoinositide 3-kinase (PI3K) inhibitor alpelisib and taxane. Mechanistically, NOS blockade leads to a decrease in the S-nitrosylation of c-Jun NH

Bayesian Nonparametric Model For Heterogeneous Treatment Effects With Zero-Inflated Data, Chanmin Kim, Yisheng Li, Ting Xu, Zhongxing Liao

Faculty, Staff and Student Publications

One goal of precision medicine is to develop effective treatments for patients by tailoring to their individual demographic, clinical, and/or genetic characteristics. To achieve this goal, statistical models must be developed that can identify and evaluate potentially heterogeneous treatment effects in a robust manner. The oft-cited existing methods for assessing treatment effect heterogeneity are based upon parametric models with interactions or conditioning on covariate values, the performance of which is sensitive to the omission of important covariates and/or the choice of their values. We propose a new Bayesian nonparametric (BNP) method for estimating heterogeneous causal effects in studies with zero-inflated …

Orthogonal And Multiplexable Genetic Perturbations With An Engineered Prime Editor And A Diverse Rna Array, Qichen Yuan, Hongzhi Zeng, Tyler C Daniel, Qingzhuo Liu, Yongjie Yang, Emmanuel C Osikpa, Qiaochu Yang, Advaith Peddi, Liliana M Abramson, Boyang Zhang, Yong Xu, Xue Gao

Faculty, Staff and Students Publications

Programmable and modular systems capable of orthogonal genomic and transcriptomic perturbations are crucial for biological research and treating human genetic diseases. Here, we present the minimal versatile genetic perturbation technology (mvGPT), a flexible toolkit designed for simultaneous and orthogonal gene editing, activation, and repression in human cells. The mvGPT combines an engineered compact prime editor (PE), a fusion activator MS2-p65-HSF1 (MPH), and a drive-and-process multiplex array that produces RNAs tailored to different types of genetic perturbation. mvGPT can precisely edit human genome via PE coupled with a prime editing guide RNA and a nicking guide RNA, activate endogenous gene expression …

Cancer Organoids As Reliable Disease Models To Drive Clinical Development Of Novel Therapies, Giovanni Blandino, Ronit Satchi-Fainaro, Ingeborg Tinhofer, Giovanni Tonon, Sarah C Heilshorn, Yong-Jun Kwon, Ana Pestana, Carlotta Frascolla, Luca Pompili, Aurora Puce, Sara Iachettini, Annalisa Tocci, Sofia Karkampouna, Marianna Kruithof-De Julio, Piera Tocci, Nicla Porciello, Klizia Maccaroni, Daniela Rutigliano, Xiling Shen, Gennaro Ciliberto

Faculty, Staff and Student Publications

On September 23-24 (2024) the 6th Workshop IRE on Translational Oncology, titled "Cancer Organoids as Reliable Disease Models to Drive Clinical Development of Novel Therapies," took place at the IRCCS Regina Elena Cancer Institute in Rome. This prominent international conference focused on tumor organoids, bringing together leading experts from around the world.A central challenge in precision oncology is modeling the dynamic tumor ecosystem, which encompasses numerous elements that evolve spatially and temporally. Patient-derived 3D culture models, including organoids, explants, and engineered or bioprinted systems, have recently emerged as sophisticated tools capable of capturing the complexity and diversity of cancer cells …

Parp Inhibition Radiosensitizes Brca1 Wildtype And Mutated Breast Cancer To Proton Therapy, Mariam Ben Kacem, Scott J Bright, Emma Moran, David B Flint, David K J Martinus, Broderick X Turner, Ilsa Qureshi, Rishab Kolachina, Mandira Manandhar, Poliana C Marinello, Simona F Shaitelman, Gabriel O Sawakuchi

Faculty, Staff and Student Publications

Aggressive breast cancers often fail or acquire resistance to radiotherapy. To develop new strategies to improve the outcome of aggressive breast cancer patients, we studied how PARP inhibition radiosensitizes breast cancer models to proton therapy, which is a radiotherapy modality that generates more DNA damage in the tumor than standard radiotherapy using photons. Two human BRCA1-mutated breast cancer cell lines and their isogenic BRCA1-recovered pairs were treated with a PARP inhibitor and irradiated with photons or protons. Protons (9.9 and 3.85 keV/µm) induced higher cell kill independent of BRCA1 status. PARP inhibition amplified the cell kill effect to both photons …

Optimizing Ewing Sarcoma And Osteosarcoma Biopsy Acquisition: A Children's Oncology Group Bone Tumor Committee Consensus Statement, Matthew S Dietz, Alyaa Al-Ibraheemi, Jessica L Davis, C Matthew Hawkins, Brian T Craig, Roshni Dasgupta, David S Geller, David S Shulman, Sarah Cohen-Gogo, Ajay Gupta, Susan L Whiteway, Emily K Slotkin, Christine M Heske, Safia K Ahmed, Daniel J Indelicato, Catherine M Albert, Nicole Montgomery, Jesse K Sandberg, Holcombe E Grier, Mark Krailo, Michael S Isakoff, Elyssa Rubin, Elizabeth R Lawlor, Steven G Dubois, Leo Mascarenhas, Patrick J Grohar, Odion Binitie, Damon Reed, Katherine Janeway, Ryan D Roberts, Kelly M Bailey

Faculty, Staff and Students Publications

Trends in diagnostic biopsy sample collection approaches for primary bone sarcomas have shifted in the past 2 decades. Although open/incisional biopsies used to be the predominant approach to obtain diagnostic material for Ewing sarcoma and osteosarcoma, image-guided core needle biopsies have increased in frequency and are safe for patients. These procedures are less invasive and reduce recovery times but have potential limitations. The quantity and quality of tissue obtained through these procedures vary between institutions. Acquired viable tissue volumes can be low, limiting the conduct of downstream expanded clinical workup, molecular analyses, and research. Patients with advanced Ewing sarcoma and …