Medical Genetics Commons^™

Dose Prediction Via Deep Learning To Enhance Treatment Planning Of Lung Radiotherapy Including Simultaneous Integrated Boost Techniques, Wenhua Cao, Mary Gronberg, Stephen Bilton, Hana Baroudi, Skylar Gay, Christopher Peeler, Zhongxing Liao, Thomas J Whitaker, Karen Hoffman, Laurence E Court

Faculty, Staff and Student Publications

Background: Recent studies have shown deep learning techniques are able to predict three-dimensional (3D) dose distributions of radiotherapy treatment plans. However, their use in dose prediction for treatments with varied prescription doses including simultaneous integrated boost (SIB), that is, using multiple prescription doses within the same plan, and benefit in improving plan quality should be validated.

Purpose: To investigate the feasibility and potential benefit of using deep learning to predict dose distribution of volumetric modulated arc therapy (VMAT) including SIB techniques and improve treatment planning for patients with lung cancer.

Methods: The dose prediction model was trained with 93 retrospective …

Establishing A Peritoneal Dialysis Technique Survival Core Outcome Measure: A Standardised Outcomes In Nephrology-Peritoneal Dialysis Consensus Workshop Report, Emma H Elphick, Karine E Manera, Andrea K Viecelli, Jonathan C Craig, Yeoungjee Cho, Angela Ju, Jenny I Shen, Martin Wilkie, Samaya Anumudu, Neil Boudville, Josephine Sf Chow, Simon J Davies, Patricia Gooden, Tess Harris, Arsh K Jain, Adrian Liew, Andrea Matus-Gonzalez, Noa Amir, Annie-Claire Nadeau-Fredette, Thu Nguyen, Angela Yee-Moon Wang, Daniela Ponce, Rob Quinn, Alison Jaure, David W Johnson, Mark Lambie, Peritoneal Dialysis International

Faculty, Staff and Students Publications

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Multi-Epitope Immunocapture Of Huntingtin Reveals Striatum-Selective Molecular Signatures, Joshua L Justice, Todd M Greco, Josiah E Hutton, Tavis J Reed, Megan L Mair, Juan Botas, Ileana M Cristea

Faculty, Staff and Students Publications

Huntington's disease (HD) is a debilitating neurodegenerative disorder affecting an individual's cognitive and motor abilities. HD is caused by a mutation in the huntingtin gene producing a toxic polyglutamine-expanded protein (mHTT) and leading to degeneration in the striatum and cortex. Yet, the molecular signatures that underlie tissue-specific vulnerabilities remain unclear. Here, we investigate this aspect by leveraging multi-epitope protein interaction assays, subcellular fractionation, thermal proteome profiling, and genetic modifier assays. The use of human cell, mouse, and fly models afforded capture of distinct subcellular pools of epitope-enriched and tissue-dependent interactions linked to dysregulated cellular pathways and disease relevance. We established …

Clinical, Immunologic, And Genetic Characteristics Of 148 Patients With Natural Killer Cell Deficiency, Manar Abdalgani, Evelyn R Hernandez, Luis A Pedroza, Ivan K Chinn, Lisa R Forbes Satter, Nicholas L Rider, Pinaki P Banerjee, M Cecilia Poli, Sanjana Mahapatra, Debra Canter, Tram Cao, Linda M Shawver, Sarada L Nandiwada, James R Lupski, Jennifer E Posey, Rajasekhar Ramakrishnan, Emily M Mace, Jordan S Orange

Faculty, Staff and Students Publications

Background: Natural killer (NK) cell deficiency (NKD) is an immunodeficiency phenotype in which abnormality of NK cells is the major clinically relevant immune defect.

Objective: We sought to define the clinical, immunologic, and genetic characteristics of patients with NKD to aid in the understanding of these individuals and this cell type and guide future research and clinical practice.

Methods: During 2006-2022, 168 individuals with a suspected diagnosis of NKD were enrolled, with comprehensive clinical, immunologic, and genetic data collected and analyzed. Research exome sequencing was performed to identify both known and novel genetic associations.

Results: NK cell abnormalities consistent with …

Goal Attainment In Pmm2-Cdg: A New Approach Measuring Meaningful Clinical Outcomes, Sanne Verberkmoes, Gina L Mazza, Andrew C Edmondson, Fernando Scaglia, Seishu Horikoshi, Bryce Kuschel, Mirian C H Janssen, Jehan Mousa, Austin Larson, Rameen Shah, Georgia Mcdonald, Kyriaki Sarafoglou, Gerard Berry, Tamas Kozicz, Christina Lam, Eva Morava

Faculty, Staff and Students Publications

Patient-centered outcomes, including patient-reported outcomes (PROs), are increasingly important in healthcare and research, though their use in rare diseases remains limited. In disorders with significant phenotypic variation, selecting appropriate outcome measures is crucial to ensuring the relevance of clinical trials for the patient population. Phosphomannomutase 2-CDG (PMM2-CDG) involves a complex genotype-phenotype relationship, making it challenging to predict clinical outcomes and select reliable measures for clinical trials. Caused by biallelic pathogenic variants in the PMM2, PMM2-CDG displays highly variable clinical severity, underscoring the need for personalized outcome measures. One such so far unexplored, individualized approach is Goal Attainment Scaling (GAS), which …

Psychiatric Genetics In The Diverse Landscape Of Latin American Populations, Estela M Bruxel, Diego L Rovaris, Sintia I Belangero, Gabriela Chavarría-Soley, Alfredo B Cuellar-Barboza, José J Martínez-Magaña, Sheila T Nagamatsu, Caroline M Nievergelt, Diana L Núñez-Ríos, Vanessa K Ota, Roseann E Peterson, Laura G Sloofman, Amy M Adams, Elinette Albino, Angel T Alvarado, Diego Andrade-Brito, Paola Y Arguello-Pascualli, Cibele E Bandeira, Claiton H D Bau, Cynthia M Bulik, Joseph D Buxbaum, Carolina Cappi, Nadia S Corral-Frias, Alejo Corrales, Fabiana Corsi-Zuelli, James J Crowley, Renata B Cupertino, Bruna S Da Silva, Suzannah S De Almeida, Juan F De La Hoz, Diego A Forero, Gabriel R Fries, Joel Gelernter, Yeimy González-Giraldo, Eugenio H Grevet, Dorothy E Grice, Adriana Hernández-Garayua, John M Hettema, Agustín Ibáñez, Iuliana Ionita-Laza, Maria Claudia Lattig, Yago C Lima, Yi-Sian Lin, Sandra López-León, Camila M Loureiro, Verónica Martínez-Cerdeño, Gabriela A Martínez-Levy, Kyle Melin, Daniel Moreno-De-Luca, Carolina Muniz Carvalho, Ana Maria Olivares, Victor F Oliveira, Rafaella Ormond, Abraham A Palmer, Alana C Panzenhagen, Maria Rita Passos-Bueno, Qian Peng, Eduardo Pérez-Palma, Miguel L Prieto, Panos Roussos, Sandra Sanchez-Roige, Hernando Santamaría-García, Flávio M Shansis, Rachel R Sharp, Eric A Storch, Maria Eduarda A Tavares, Grace E Tietz, Bianca A Torres-Hernández, Luciana Tovo-Rodrigues, Pilar Trelles, Eva M Trujillo-Chivacuan, Maria M Velásquez, Fernando Vera-Urbina, Georgios Voloudakis, Talia Wegman-Ostrosky, Jenny Zhen-Duan, Hang Zhou, Latin American Genomics Consortium, Marcos L Santoro, Humberto Nicolini, Elizabeth G Atkinson, Paola Giusti-Rodríguez, Janitza L Montalvo-Ortiz

Faculty, Staff and Students Publications

Psychiatric disorders are highly heritable and polygenic, influenced by environmental factors and often comorbid. Large-scale genome-wide association studies (GWASs) through consortium efforts have identified genetic risk loci and revealed the underlying biology of psychiatric disorders and traits. However, over 85% of psychiatric GWAS participants are of European ancestry, limiting the applicability of these findings to non-European populations. Latin America and the Caribbean, regions marked by diverse genetic admixture, distinct environments and healthcare disparities, remain critically understudied in psychiatric genomics. This threatens access to precision psychiatry, where diversity is crucial for innovation and equity. This Review evaluates the current state and …

Computational And Functional Prioritization Identifies Genes That Rescue Behavior And Reduce Tau Protein In Fly And Human Cell Models Of Alzheimer Disease, Morgan C Stephens, Jiayang Li, Megan Mair, Justin Moore, Katy Zhu, Akash Tarkunde, Bismark Amoh, Alma M Perez, Arya Bhakare, Fangfei Guo, Joshua M Shulman, Ismael Al-Ramahi, Juan Botas

Faculty, Staff and Students Publications

Genome-wide association studies (GWASs) in Alzheimer disease (AD) have uncovered over 70 loci significantly associated with AD risk, but identifying the true causal gene(s) at these loci requires systematic functional validation that is rarely performed due to limitations of time and cost. Here, we integrate transcriptome-wide association study (TWAS) with colocalization analysis, fine-mapping, and additional annotation of AD GWAS variants to identify 123 genes at known and suggestive AD risk loci. A comparison with human AD brain transcriptome data confirmed that many of these candidate genes are dysregulated in human AD and correlate with neuropathology. We then tested all available …

Bi-Allelic Uggt1 Variants Cause A Congenital Disorder Of Glycosylation, Zain Dardas, Laura Harrold, Daniel G Calame, Claire G Salter, Takashi Kikuma, Kevin P Guay, Bobby G Ng, Kanae Sano, Ahmad K Saad, Haowei Du, Riccardo Sangermano, Sohil G Patankar, Shalini N Jhangiani, Semra Gürsoy, Mohamed S Abdel-Hamid, Mahmoud K H Ahmed, Reza Maroofian, Rauan Kaiyrzhanov, Kamran Salayev, Wendy D Jones, Ana Pérez Caballero, Lucy Mcgavin, Michael Spiller, Miranda Durkie, Nick Wood, Lauren O'Grady, Paula Goldenberg, Ann M Neumeyer, Amber Begtrup, Sherif F Abdel-Ghafar, Maha S Zaki, Hilde Van Esch, Jennifer E Posey, Olivia K Wenger, Ethan M Scott, Kinga M Bujakowska, Richard A Gibbs, Davut Pehlivan, Dana Marafi, Joseph S Leslie, Nishanka Ubeyratna, Jacob Day, Martina Owens, Jessica Settle, Soher Balkhy, Abdullah Tamim, Lama Alabdi, Fowzan S Alkuraya, Yoichi Takeda, Hudson H Freeze, Daniel N Hebert, James R Lupski, Andrew H Crosby, Emma L Baple

Faculty, Staff and Students Publications

Congenital disorders of glycosylation (CDGs) comprise a large heterogeneous group of metabolic conditions caused by defects in glycoprotein and glycolipid glycan assembly and remodeling, a fundamental molecular process with wide-ranging biological roles. Herein, we describe bi-allelic UGGT1 variants in fifteen individuals from ten unrelated families of various ethnic backgrounds as a cause of a distinctive CDG of variable severity. The cardinal clinical features of UGGT1-CDG involve developmental delay, intellectual disability, seizures, characteristic facial features, and microcephaly in the majority (9/11 affected individuals for whom measurements were available). The more severely affected individuals display congenital heart malformations, variable skeletal abnormalities including …

Optimal Delay Time To Initiate Anticoagulation After Ischemic Stroke In Atrial Fibrillation: A Pragmatic, Response-Adaptive Randomized Clinical Trial, Steven J Warach, Lisa A Davis, Patrick Lawrence, Byron Gajewski, Jo Wick, Fred Shi, Ty T Shang, Daiwai M Olson, Sidarrth Prasad, Lee Birnbaum, Jody M Richardson, Sean I Savitz, Mark P Goldberg, Salvador Cruz-Flores, Israel Alba, Jane Anderson, Barbara Kimmel, Chethan P Venkatasubba Rao, Ben King, Adrienne N Dula, Truman J Milling

Faculty, Staff and Students Publications

Importance: Clinical practice guidelines recommend initiation of anticoagulation within 2 weeks after stroke with atrial fibrillation. It is unknown whether there is an optimal starting day within the 14-day period that balances the risks of recurrent embolic events against serious hemorrhagic events.

Objective: To determine if there is an optimal delay time to initiate treatment with a direct oral anticoagulant after atrial fibrillation-related stroke that minimizes the risk of a composite outcome of ischemic or hemorrhagic events.

Design, setting, and participants: This phase 2, pragmatic, response-adaptive randomized clinical trial was conducted between June 2017 and June 2023 at acute care …

Prevalence And Patterns Of Opioid Use In Chronic Pancreatitis, Anna Evans Phillips, Darwin L Conwell, Shuang Li, Jami L Saloman, Phil A Hart, Evan L Fogel, Santhi Swaroop Vege, Dana K Andersen, William E Fisher, Christopher E Forsmark, Stephen Pandol, Walter G Park, Mark D Topazian, Stephen K Van Den Eeden, Jose Serrano, Liang Li, Dhiraj Yadav

Faculty, Staff and Student Publications

Introduction: Opioids are used to treat pain in chronic pancreatitis (CP), but little is known about current use patterns. The aim of this study was to characterize the utilization of opioids and associations with clinical characteristics in adult patients with CP.

Methods: This cross-sectional analysis used baseline data from participants with definite CP enrolled in a cohort study in the United States (PROspective Evaluation of CP for EpidEmiologic and Translational StuDies). Data on demographics, pain medication use, healthcare utilization, disability, and pain patterns were systematically collected in case report forms while quality of life was assessed with patient-reported outcome instruments. …

Neurotransmitter Power Plays: The Synaptic Communication Nexus Shaping Brain Cancer, Jayanta Mondal, Jason T Huse

Faculty, Staff and Student Publications

Gliomas and brain metastases are notorious for their dismal prognosis and low survival rates, a challenge exacerbated by our incomplete grasp of the complex dynamics that govern brain cancers. Recently, a groundbreaking paradigm shift has emerged, highlighting the crucial role of synaptic communication between neurons and brain tumor cells in reshaping neuronal signaling to favor tumor growth. This review delves into the pivotal interplay of synaptic mechanisms, focusing on excitatory glutamatergic and inhibitory GABAergic pathways. Glutamatergic synapses utilize glutamate to propagate excitatory signals, while GABAergic synapses employ gamma-aminobutyric acid (GABA) to inhibit neuronal firing. Glutamatergic signaling can be broadly classified …

Use Of Natural Language Processing To Identify Patients With Inflammatory Breast Cancer Across A Health-Care System, Ramez Kouzy, Megumi Kai, Huong T Le-Petross, Sadia Saleem, Wendy A Woodward

Faculty, Staff and Student Publications

Early identification and referral of inflammatory breast cancer remains challenging within large health-care systems, limiting access to specialized care. We developed and evaluated an artificial intelligence-driven platform integrating natural language processing (NLP) with electronic health records to systematically identify potential inflammatory breast cancer patients across 5 campuses. Our platform analyzed 8 623 494 clinical notes, implementing a sequential review process: NLP screening followed by human validation and multidisciplinary confirmation. Initial NLP screening achieved 55.4% positive predictive value, improving to 78.4% with human-in-the-loop review. Notably, among 255 confirmed patients with inflammatory breast cancer, our system demonstrated 92.2% sensitivity, identifying 57 patients …

Bilateral Germ Cell Tumor Of The Testis: Biological And Clinical Implications For A Stem Versus Genetic Origin Of Cancers, Jamaal C Jackson, Darren Sanchez, Aron Y Joon, Marcos R Estecio, Andrew C Johns, Amishi Y Shah, Matthew Campbell, John F Ward, Louis L Pisters, Charles C Guo, Miao Zhang, Niki M Zacharias, Shi-Ming Tu

Faculty, Staff and Student Publications

Germ cell tumors of the testis (GCTs) provide an ideal tumor model to investigate the cellular versus genetic origin of cancers. In this single institutional study, we evaluated 38 patients with bilateral GCT, including tumors that occurred simultaneously (synchronous) and those occurring at different times (metachronous). For nine of these patients, DNA was isolated from the right and left GCT to determine the genomic and epigenetic differences between tissues using whole-exome sequencing (WES) and reduced representation bisulfite sequencing (RRBS). We found that seminomas and non-seminomas are molecularly distinct based on DNA methylation and not due to synchronous or metachronous disease. …

Trends In Medicare Payments Within The First Year Of Cervical Cancer Diagnosis, 2010–2019, Mohammad A Karim, Ning Zhang, Hui Zhao, Ya-Chen Tina Shih, Lakshmi S M Kodali, Sharon H Giordano, Sanjay Shete

Faculty, Staff and Student Publications

Assessing Medicare payment trends for cervical cancer care is important to mitigate the financial impact on Medicare. This multiyear cross-sectional study included 65 years and older cervical cancer patients in SEER registries diagnosed between 2010 and 2019 who had continuous Part A and B Medicare coverage at least 6 months before diagnosis and at least within the first year of diagnosis and were not enrolled in any Health Maintenance Organization (HMO) in this duration. The main outcomes were trends in total and service-specific mean monthly Medicare payments within the first year of a cervical cancer diagnosis. This study included 2147 …

Network-Based Clustering Unveils Interconnected Landscapes Of Genomic And Clinical Features Across Myeloid Malignancies, Fritz Bayer, Marco Roncador, Giusi Moffa, Kiyomi Morita, Koichi Takahashi, Niko Beerenwinkel, Jack Kuipers

Faculty, Staff and Student Publications

Myeloid malignancies exhibit considerable heterogeneity with overlapping clinical and genetic features among subtypes. We present a data-driven approach that integrates mutational features and clinical covariates at diagnosis within networks of their probabilistic relationships, enabling the discovery of patient subgroups. A key strength is its ability to include presumed causal directions in the edges linking clinical and mutational features, and account for them aptly in the clustering. In a cohort of 1323 patients, we identify subgroups that outperform established risk classifications in prognostic accuracy. Our approach generalises well to unseen cohorts with classification based on our subgroups similarly offering advantages in …

The Effects Of Prescribed Medications On Depressive Symptoms And Neurocognitive Performance In People With Hiv, Asante R Kamkwalala, Avery Matthews, Ankita Garg, Upal Roy, Qing Ma, Maile Karris, Erin Sundermann, Ronald J Ellis, Patricia K Riggs, Mattia Trunfio, Jennifer Blanchard, David J Moore, Leah H Rubin, Scott L Letendre

Faculty, Staff and Student Publications

Background: Alterations in brain function and structure, such as depression and neurocognitive impairment, continue to occur in people with human immunodeficiency virus (HIV, PWH) taking suppressive antiretroviral therapy (ART). The lifespan of PWH has improved but the healthspan remains worse than people without HIV, in part because of aging-related diseases. As a result, polypharmacy is common and increases the risk of drug-drug interactions and adverse reactions.

Methods: This cross-sectional project investigated the relationship between 7 medication-related metrics (including anticholinergic burden), depressive symptoms, and neurocognitive performance in 491 PWH at a single center in the United States. All participants were taking …

Investigative Needle Core Biopsies Support Multimodal Deep-Data Generation In Glioblastoma, Kenny K H Yu, Sreyashi Basu, Gerard Baquer, Ryuhjin Ahn, Jennifer Gantchev, Sonali Jindal, Michael S Regan, Zaki Abou-Mrad, Michael C Prabhu, Marc J Williams, Alicia D D'Souza, Seth W Malinowski, Kelsey Hopland, Yuval Elhanati, Sylwia A Stopka, Alexei Stortchevoi, Charles Couturier, Zhong He, Jingjing Sun, Yulong Chen, Alexsandra B Espejo, Kin Hoe Chow, Smitha Yerrum, Pei-Lun Kao, Brittany Parker Kerrigan, Lisa Norberg, Douglas Nielsen, Vinay K Puduvalli, Jason Huse, Rameen Beroukhim, Betty Y S Kim, Sangeeta Goswami, Adrienne Boire, Sarah Frisken, Michael J Cima, Matthias Holdhoff, Calixto-Hope G Lucas, Chetan Bettegowda, Stuart S Levine, Tejus A Bale, Cameron Brennan, David A Reardon, Frederick F Lang, E Antonio Chiocca, Keith L Ligon, Forest M White, Padmanee Sharma, Viviane Tabar, Nathalie Y R Agar

Faculty, Staff and Student Publications

Glioblastoma (GBM) is an aggressive primary brain cancer with few effective therapies. Stereotactic needle biopsies are routinely used for diagnosis; however, the feasibility and utility of investigative biopsies to monitor treatment response remains ill-defined. Here, we demonstrate the depth of data generation possible from routine stereotactic needle core biopsies and perform highly resolved multi-omics analyses, including single-cell RNA sequencing, spatial transcriptomics, metabolomics, proteomics, phosphoproteomics, T-cell clonotype analysis, and MHC Class I immunopeptidomics on standard biopsy tissue obtained intra-operatively. We also examine biopsies taken from different locations and provide a framework for measuring spatial and genomic heterogeneity. Finally, we investigate the …

Improved Overall Survival In An Anti-Pd-L1 Treated Cohort Of Newly Diagnosed Glioblastoma Patients Is Associated With Distinct Immune, Mutation, And Gut Microbiome Features: A Single Arm Prospective Phase I/Ii Trial, Shiao-Pei Weathers, Xiqi Li, Haifeng Zhu, Ashish V Damania, Mark Knafl, Brian Mckinley, Heather Lin, Rebecca A Harrison, Nazanin K Majd, Barbara J O'Brien, Marta Penas-Prado, Monica Loghin, Carlos Kamiya-Matsuoka, W K Alfred Yung, Luisa M Solis Soto, Dipen M Maru, Ignacio Wistuba, Edwin R Parra Cuentas, Sharia Hernandez, Andrew Futreal, Jennifer A Wargo, Katja Schulze, Walter C Darbonne, Nadim J Ajami, Scott E Woodman, John F De Groot

Faculty, Staff and Student Publications

This phase I/II trial aims to evaluate the efficacy of concurrent atezolizumab with radiation therapy and temozolomide (TMZ) followed by adjuvant atezolizumab and TMZ in newly diagnosed glioblastoma (GBM) patients and to identify pre-treatment correlates with outcome (N = 60). Trial number: NCT03174197. The primary outcome was overall survival (OS) whereas secondary outcomes were retrospective global-omics analyses to identify pre-treatment immune and genetic tumor features that correlated with survival. Concurrent use of atezolizumab with radiation and TMZ demonstrated OS in line with published trials for newly diagnosed GBM. Tumor genomic (WES and/or targeted NGS panel), transcriptomic (RNAseq) and tissue microenvironment …

Building A Pre-Surgical Multiparametric-Mri-Based Morphologic, Qualitative, Semiquantitative, First And High-Order Radiomic Predictive Treatment Response Model For Undifferentiated Pleomorphic Sarcoma To Replace Recist, Raul F Valenzuela, Elvis Duran-Sierra, Mathew Antony, Behrang Amini, Sam Lo, Keila E Torres, Robert S Benjamin, Jingfei Ma, Ken-Pin Hwang, R Jason Stafford, Dejka Araujo, Andrew J Bishop, Ravin Ratan, Wei-Lien Wang, Jossue Espinoza, Pia V Valenzuela, Chengyue Wu, John E Madewell, William A Murphy, Colleen M Costelloe

Faculty, Staff and Student Publications

Background: Undifferentiated pleomorphic sarcoma (UPS) is the largest subgroup of soft-tissue sarcomas. It demonstrates post-therapeutic hemosiderin deposition, granulation tissue formation, fibrosis, and calcification. Our research aims to establish the multiparametric MRI (mp-MRI) value for predicting UPS treatment response.

Methods: An IRB-approved retrospective study included 33 extremity UPS patients with pre-operative mp-MRI, including diffusion-weighted imaging (DWI), contrast-enhanced susceptibility-weighted imaging (CE-SWI), and perfusion-weighted imaging with dynamic contrast-enhancement (PWI/DCE), and surgical resection between February 2021 and May 2023. Lesions were visually classified on CE-SWI into one of 6 morphology patterns. On PWI/DCE, lesions were classified into one of 6 patterns, and time-intensity curves …

Acute Brcaness Induction And Ar Pathway Blockage Through Cdk12/7/9 Degradation Enhances Parp Inhibitor Sensitivity In Prostate Cancer, Fu Gui, Baishan Jiang, Jie Jiang, Zhixiang He, Takuya Tsujino, Tomoaki Takai, Seiji Arai, Celine Pana, Jens Köllermann, Gary Andrew Bradshaw, Robyn Eisert, Marian Kalocsay, Anne Fassl, Steven P Balk, Adam S Kibel, Li Jia

Faculty, Staff and Student Publications

Current treatments for advanced prostate cancer (PCa) primarily target the androgen receptor (AR) pathway. However, the emergence of castration-resistant prostate cancer (CRPC) and resistance to AR pathway inhibitors (APPIs) remains ongoing challenges. Here, we present BSJ-5-63, a proteolysis-targeting chimera (PROTAC) targeting cyclin-dependent kinases (CDKs) CDK12, CDK7, and CDK9, offering a multipronged approach to CRPC therapy. BSJ-5-63 degrades CDK12, diminishing BRCA1 and BRCA2 expression and inducing a sustained "BRCAness" state. This sensitizes cancer cells to PARP inhibitors (PARPis) regardless of their homologous recombination repair (HRR) status. Furthermore, CDK7 and CDK9 degradation attenuates AR signaling, enhancing its therapeutic efficacy. Preclinical studies, including …

A Pioneering Artificial Intelligence Tool To Predict Treatment Outcomes In Ovarian Cancer Via Diagnostic Laparoscopy, Xiaotian Ma, Yu-Chun Hsu, Amma Asare, Kai Zhang, Deanna Glassman, Katelyn F Handley, Katherine Foster, Khwahish Sharma, Shannon Westin, Amir Jazaeri, Nicole D Fleming, Pratip K Bhattacharya, Xiaoqian Jiang, Anil K Sood, Shayan Shams

Faculty, Staff and Student Publications

Ovarian cancer is associated with high rates of patient mortality and morbidity. Laparoscopic assessment of tumor localization can be used for treatment planning in newly diagnosed high-grade serous ovarian carcinoma (HGSOC). While spread to multiple intra-abdominal areas is correlated with worse outcomes, whether other morphological tumor differences are also associated with patient outcomes is unknown. Given the large volume of visual information in laparoscopic videos, we investigated whether deep-learning models can capture implicit features and predict treatment outcomes. We developed a novel deep-learning framework using pre-treatment laparoscopic images to assess clinical outcomes following upfront standard treatment, defined as short progression-free …

Idh Status Dictates Ohsv Mediated Metabolic Reprogramming Affecting Anti-Tumor Immunity, Upasana Sahu, Matthew P Mullarkey, Sara A Murphy, Joshua C Anderson, Vasanta Putluri, Abu Hena Mostafa Kamal, Jun Hyoung Park, Tae Jin Lee, Alexander L Ling, Benny A Kaipparettu, Ashok Sharma, Nagireddy Putluri, Pamela L Wenzel, Christopher D Willey, E Antonio Chiocca, James M Markert, Balveen Kaur

Faculty, Staff and Student Publications

Identification of isocitrate dehydrogenase (IDH) mutations has uncovered the crucial role of metabolism in gliomagenesis. Oncolytic herpes virus (oHSV) initiates direct tumor debulking by tumor lysis and activates anti-tumor immunity, however, little is known about the role of glioma metabolism in determining oHSV efficacy. Here we identify that oHSV rewires central carbon metabolism increasing glucose utilization towards oxidative phosphorylation and shuttling glutamine towards reductive carboxylation in IDH wildtype glioma. The switch in metabolism results in increased lipid synthesis and cellular ROS. PKC induces ACSL4 in oHSV treated cells leading to lipid peroxidation and ferroptosis. Ferroptosis is critical to launch an …

High-Grade Astrocytoma With Piloid Features: A Single-Institution Case Series And Literature Review, Eric A Goethe, Subhiksha Srinivasan, Swaminathan Kumar, Sujit S Prabhu, Maria A Gubbiotti, Sherise D Ferguson

Faculty, Staff and Student Publications

High-grade astrocytoma with piloid features (HGAP) is a recently described primary brain tumor and the first requiring a specific methylation pattern for diagnosis, as its histologic features are often compatible with other tumors such as glioblastoma (GBM). Characterized by molecular alterations in CDKN2A/B, NF1, BRAF, FGFR1, and ATRX, they may be located anywhere in the CNS but show a predilection for the posterior fossa. Reports are limited to retrospective case series, and the standard of care is not yet established. We performed a retrospective review of electronic medical records of all patients with HGAP at our institution. Records were queried …

Swi/Snf Complex-Mediated Znf410 Cooperative Binding Maintains Chromatin Accessibility And Enhancer Activity, Siyuan Xu, Chuxuan Peng, Ren Ren, Haowen Lu, Han Zhao, Sijian Xia, Yijie Shen, Bin Xu, Haoyue Zhang, Xiaodong Cheng, Gerd A Blobel, Xianjiang Lan

Faculty, Staff and Student Publications

The clustering of multiple transcription factor binding sites (TFBSs) for the same TF has proved to be a pervasive feature of cis-regulatory elements in the eukaryotic genome. However, the contribution of binding sites within the homotypic clusters of TFBSs (HCTs) to TF binding and target gene expression remains to be understood. Here, we characterize the CHD4 enhancers that harbor unique functional ZNF410 HCTs genome wide. We uncover that ZNF410 controls chromatin accessibility and activity of the CHD4 enhancer regions. We demonstrate that ZNF410 binds to the HCTs in a collaborative fashion, further conferring transcriptional activation. In particular, three ZNF410 motifs …

Rnase1-Driven Alk-Activation Is An Oncogenic Driver And Therapeutic Target In Non-Small Cell Lung Cancer, Zhengyu Zha, Chunxiao Liu, Meisi Yan, Cong Chen, Cheng Yu, Yaohui Chen, Chenhao Zhou, Lu Li, Yi-Chuan Li, Hiro Yamaguchi, Leiguang Ye, Tong Liu, Ying-Nai Wang, Heng-Huan Lee, Wen-Hao Yang, Li-Chuan Chan, Baozhen Ke, Jennifer L Hsu, Lieming Ding, Dong Ji, Peng Pan, Yiran Meng, Yue Pu, Lunxu Liu, Mien-Chie Hung

Faculty, Staff and Student Publications

Targeted therapy has achieved significant success in the treatment of non-small cell lung cancer (NSCLC), particularly in patients harboring common oncogenic driver mutations such as EGFR, KRAS, and ALK rearrangement. However, ~35-50% of NSCLC patients without tyrosine kinase mutation or rearrangement (non-mutated) cannot benefit from these targeted treatments, highlighting the urgent need for novel therapeutic strategies for this patient population. In this study, we report a non-canonical role of human secretory ribonuclease 1 (RNase1), which binds to and activates wild-type ALK in lung cancer cells, thereby triggering its downstream signaling pathway. RNase1-driven ALK-activation (RDAA) cells exhibit enhanced cell proliferation, migration, …

Kras Mutation Detection By Liquid Biopsy For Pancreatic Ductal Adenocarcinoma, Mahmoud Yousef, Abdelrahman Yousef, Mark W Hurd, Ashwathy Pillai, Saikat Chowdhury, Rebecca Snyder, Mark Knafl, Ryan L Lewis, Paul M Roy, Mohammad Fanaeian, Sali Albarouki, Luca F Castelnovo, Jennifer Peterson, Brandon G Smaglo, Robert A Wolff, Shubham Pant, Jason Willis, Ryan Huey, Michael Overman, Ching-Wei Tzeng, Michael P Kim, Naruhiko Ikoma, Jess E Maxwell, Matthew H G Katz, Huamin Wang, Anirban Maitra, Eugene Koay, Ethan B Ludmir, Anthony Chen, Camila Lopez, Haoqiang Ying, John Paul Shen, Dan Zhao

Faculty, Staff and Student Publications

The clinical utility of liquid biopsy (LB) for pancreatic ductal adenocarcinoma (PDAC) remain understudied. Our single-institution cohort of 311 PDAC patients with non-tumor tissues informed LB found 81.2% positivity (N = 186) in metastatic cases and in 52.4% (N = 43) of localized disease. KRAS mutations were detected in 64.6% (N = 148) of metastatic cases and 16% (N = 13) for localized disease. Positive LB, especially KRAS mutation detection, is associated with worse overall survival (OS) in metastatic PDAC (median 14.5 vs. 31.3 months, HR = 2.7, 95%CI = 1.7-4.3, P <  0.0001). The positive concordance rates of KRAS and TP53 mutations were 63% and 68% in metastatic disease but only 7% (KRAS) and 33% (TP53) in localized disease, respectively. Among the 41 patients who underwent serial liquid biopsy testing, 25% tested positive after an initial negative result. LB detects therapeutically targetable mutations in 58.5% of PDAC patients and is associated with OS.

Multimeric Transcription Factor Bcl11a Utilizes Two Zinc-Finger Tandem Arrays To Bind Clustered Short Sequence Motifs, John R Horton, Meigen Yu, Jujun Zhou, Melody Tran, Rithvi R Anakal, Yue Lu, Robert M Blumenthal, Xiaotian Zhang, Yun Huang, Xing Zhang, Xiaodong Cheng

Faculty, Staff and Student Publications

BCL11A, a transcription factor, is vital for hematopoiesis, including B and T cell maturation and the fetal-to-adult hemoglobin switch. Mutations in BCL11A are linked to neurodevelopmental disorders. BCL11A contains two DNA-binding zinc-finger arrays, low-affinity ZF2-3 and high-affinity ZF4-6, separated by a 300-amino-acid linker. ZF2-3 and ZF4-5 share 73% identity, including five out of six DNA base-interacting residues. These arrays bind similar short sequence motifs in clusters, with the linker enabling a broader binding span. Crystallographic structures of ZF4-6, in complex with oligonucleotides from the β-globin locus region, reveal DNA sequence recognition by residues Asn756 (ZF4), Lys784 and Arg787 (ZF5). A …

Reduced Venetoclax Exposure To 7 Days Vs Standard Exposure With Hypomethylating Agents In Newly Diagnosed Aml Patients, Christophe Willekens, Alexandre Bazinet, Samy Chraibi, Alex Bataller, Justine Decroocq, Naszrin Arani, Benjamin Carpentier, Caitlin Rausch, Delphine Lebon, Abhishek Maiti, Nicolas Gauthier, Nicholas Short, Sarah Bonnet, Koji Sasaki, Sabine Khalife-Hachem, Mahesh Swaminathan, Jean-Baptiste Micol, Florence Pasquier, Christophe Marzac, Damien Roos-Weil, Laurent Pascal, Naval Daver, Tapan Kadia, Didier Bouscary, Farhad Ravandi, Arnaud Pages, Hagop Kantarjian, Stéphane De Botton, Courtney Dinardo

Faculty, Staff and Student Publications

Hypomethylating agent (HMA) plus venetoclax (VEN) regimens are standard of care in patients with acute myeloid leukemia (AML) ineligible for intensive chemotherapy. While the VEN label recommends continuous 28-day cycles, shortened VEN durations may induce similar response rates and improve tolerability. It is unknown how a VEN exposure reduced to 7 days during cycles compares to standard HMA + VEN. We retrospectively compared newly diagnosed AML patients treated with azacitidine (AZA) x 7 days plus VEN x 7 days ("7 + 7" regimen) from the first cycle (n = 82) vs patients treated with standard dose HMA + VEN (std-HMA/VEN) …

Humanized Saccharomyces Cerevisiae Provides A Facile And Effective Tool To Identify Damaging Human Variants That Cause Exosomopathies, Khondakar Sayef Ahammed, Milo B Fasken, Anita H Corbett, Ambro Van Hoof

Faculty, Staff and Student Publications

The RNA exosome is an evolutionarily conserved, multiprotein complex that is the major RNase in 3' processing and degradation of a wide range of RNAs in eukaryotes. Single amino acid changes in RNA exosome subunits cause rare genetic diseases collectively called exosomopathies. However, distinguishing disease-causing variants from nonpathogenic ones remains challenging, and the mechanism by which these variants cause disease is largely unknown. Previous studies have employed a budding yeast model of RNA exosome-linked diseases that relies on mutating the orthologous yeast genes. Here, we develop a humanized yeast model of exosomopathies that allows us to unambiguously assess damaging effects …

Deep Learning-Based Automatic Segmentation Of Cerebral Infarcts On Diffusion Mri, Wi-Sun Ryu, Dawid Schellingerhout, Jonghyeok Park, Jinyong Chung, Sang-Wuk Jeong, Dong-Seok Gwak, Beom Joon Kim, Joon-Tae Kim, Keun-Sik Hong, Kyung Bok Lee, Tai Hwan Park, Sang-Soon Park, Jong-Moo Park, Kyusik Kang, Yong-Jin Cho, Hong-Kyun Park, Byung-Chul Lee, Kyung-Ho Yu, Mi Sun Oh, Soo Joo Lee, Jae Guk Kim, Jae-Kwan Cha, Dae-Hyun Kim, Jun Lee, Man Seok Park, Dongmin Kim, Oh Young Bang, Eung Yeop Kim, Chul-Ho Sohn, Hosung Kim, Hee-Joon Bae, Dong-Eog Kim

Faculty, Staff and Student Publications

We explored effects of (1) training with various sample sizes of multi-site vs. single-site training data, (2) cross-site domain adaptation, and (3) data sources and features on the performance of algorithms segmenting cerebral infarcts on Magnetic Resonance Imaging (MRI). We used 10,820 annotated diffusion-weighted images (DWIs) from 10 university hospitals. Algorithms based on 3D U-net were trained using progressively larger subsamples (ranging from 217 to 8661), while internal testing employed a distinct set of 2159 DWIs. External validation was conducted using three unrelated datasets (n = 2777, 50, and 250). For domain adaptation, we utilized 50 to 1000 subsamples from …