Digital Commons Network^™

A Study To Assess The Efficacy Of Enasidenib And Risk-Adapted Addition Of Azacitidine In Newly Diagnosed Idh2-Mutant Aml, Sheng F Cai, Ying Huang, Jennie R Lance, Hsiaoyin Charlene Mao, Andrew J Dunbar, Samantha N Mcnulty, Todd Druley, Yan Li, Maria R Baer, Wendy Stock, Tibor Kovacsovics, William G Blum, Gary J Schiller, Rebecca L Olin, James M Foran, Mark Litzow, Tara Lin, Prapti Patel, Matthew C Foster, Michael Boyiadzis, Robert H Collins, Jordan Chervin, Abigail Shoben, Jo-Anne Vergilio, Nyla A Heerema, Leonard Rosenberg, Timothy L Chen, Ashley O Yocum, Franchesca Druggan, Sonja Marcus, Mona Stefanos, Brian J Druker, Alice S Mims, Uma Borate, Amy Burd, John C Byrd, Ross L Levine, Eytan M Stein

Faculty, Staff and Student Publications

Enasidenib (ENA) is an inhibitor of isocitrate dehydrogenase 2 (IDH2) approved for the treatment of patients with IDH2-mutant relapsed/refractory acute myeloid leukemia (AML). In this phase 2/1b Beat AML substudy, we applied a risk-adapted approach to assess the efficacy of ENA monotherapy for patients aged ≥60 years with newly diagnosed IDH2-mutant AML in whom genomic profiling demonstrated that mutant IDH2 was in the dominant leukemic clone. Patients for whom ENA monotherapy did not induce a complete remission (CR) or CR with incomplete blood count recovery (CRi) enrolled in a phase 1b cohort with the addition of …

Intratumoral Biosynthesis Of Gold Nanoclusters By Pancreatic Cancer To Overcome Delivery Barriers To Radiosensitization, Aaron S Schwartz-Duval, Yuri Mackeyev, Iqbal Mahmud, Philip L Lorenzi, Mihai Gagea, Sunil Krishnan, Konstantin V Sokolov

Faculty, Staff and Student Publications

Nanoparticle delivery to solid tumors is a prime challenge in nanomedicine. Here, we approach this challenge through the lens of biogeochemistry, the field that studies the flow of chemical elements within ecosystems as manipulated by living cellular organisms and their environments. We leverage biogeochemistry concepts related to gold cycling against pancreatic cancer, considering mammalian organisms as drivers for gold nanoparticle biosynthesis. Sequestration of gold nanoparticles within tumors has been demonstrated as an effective strategy to enhance radiotherapy; however, the desmoplasia of pancreatic cancer impedes nanoparticle delivery. Our strategy overcomes this barrier by applying an atomic-scale agent, ionic gold, for intratumoral …

Virology-The Path Forward, Angela L Rasmussen, Gigi K Gronvall, Anice C Lowen, Felicia Goodrum, James Alwine, Kristian G Andersen, Simon J Anthony, Joel Baines, Arinjay Banerjee, Andrew J Broadbent, Christopher B Brooke, Samuel K Campos, Patrizia Caposio, Arturo Casadevall, Gary C Chan, Anna R Cliffe, Donna Collins-Mcmillen, Nancy Connell, Blossom Damania, Matthew D Daugherty, Kari Debbink, Terence S Dermody, Daniel Dimaio, W Paul Duprex, Michael Emerman, Denise A Galloway, Robert F Garry, Stephen A Goldstein, Alexander L Greninger, Amy L Hartman, Brenda G Hogue, Stacy M Horner, Peter J Hotez, Jae U Jung, Jeremy P Kamil, Stephanie M Karst, Lou Laimins, Seema S Lakdawala, Igor Landais, Michael Letko, Brett Lindenbach, Shan-Lu Liu, Micah Luftig, Grant Mcfadden, Andrew Mehle, Juliet Morrison, Anne Moscona, Elke Mühlberger, Joshua Munger, Karl Münger, Eain Murphy, Christopher J Neufeldt, Janko Z Nikolich, Christine M O'Connor, Andrew Pekosz, Sallie R Permar, Julie K Pfeiffer, Saskia V Popescu, John G Purdy, Vincent R Racaniello, Charles M Rice, Jonathan A Runstadler, Martin J Sapp, Rona S Scott, Gregory A Smith, Erin M Sorrell, Emily Speranza, Daniel Streblow, Scott A Tibbetts, Zsolt Toth, Koenraad Van Doorslaer, Susan R Weiss, Elizabeth A White, Timothy M White, Christiane E Wobus, Michael Worobey, Satoko Yamaoka, Andrew Yurochko

Faculty, Staff and Students Publications

In the United States (US), biosafety and biosecurity oversight of research on viruses is being reappraised. Safety in virology research is paramount and oversight frameworks should be reviewed periodically. Changes should be made with care, however, to avoid impeding science that is essential for rapidly reducing and responding to pandemic threats as well as addressing more common challenges caused by infectious diseases. Decades of research uniquely positioned the US to be able to respond to the COVID-19 crisis with astounding speed, delivering life-saving vaccines within a year of identifying the virus. We should embolden and empower this strength, which is …

Role Of Polyunsaturated Fat In Modifying Cardiovascular Risk Associated With Family History Of Cardiovascular Disease: Pooled De Novo Results From 15 Observational Studies, Federica Laguzzi, Agneta Åkesson, Matti Marklund, Frank Qian, Bruna Gigante, Traci M Bartz, Julie K Bassett, Anna Birukov, Hannia Campos, Yoichiro Hirakawa, Fumiaki Imamura, Susanne Jäger, Maria Lankinen, Rachel A Murphy, Mackenzie Senn, Toshiko Tanaka, Nathan Tintle, Jyrki K Virtanen, Kazumasa Yamagishi, Matthew Allison, Ingeborg A Brouwer, Ulf De Faire, Gudny Eiriksdottir, Luigi Ferrucci, Nita G Forouhi, Johanna M Geleijnse, Allison M Hodge, Hitomi Kimura, Markku Laakso, Ulf Risérus, Anniek C Van Westing, Stefania Bandinelli, Ana Baylin, Graham G Giles, Vilmundur Gudnason, Hiroyasu Iso, Rozenn N Lemaitre, Toshiharu Ninomiya, Wendy S Post, Bruce M Psaty, Jukka T Salonen, Matthias B Schulze, Michael Y Tsai, Matti Uusitupa, Nicholas J Wareham, Seung-Won Oh, Alexis C Wood, William S Harris, David Siscovick, Dariush Mozaffarian, Karin Leander, Fatty Acids And Outcomes Research Consortium (Force)

Faculty, Staff and Students Publications

BACKGROUND: It is unknown whether dietary intake of polyunsaturated fatty acids (PUFA) modifies the cardiovascular disease (CVD) risk associated with a family history of CVD. We assessed interactions between biomarkers of low PUFA intake and a family history in relation to long-term CVD risk in a large consortium.

METHODS: Blood and tissue PUFA data from 40 885 CVD-free adults were assessed. PUFA levels ≤25th percentile were considered to reflect low intake of linoleic, alpha-linolenic, and eicosapentaenoic/docosahexaenoic acids (EPA/DHA). Family history was defined as having ≥1 first-degree relative who experienced a CVD event. Relative risks with 95% CI of CVD were …

Unexpected Inhibition Of The Lipid Kinase Pikfyve Reveals An Epistatic Role For P38 Mapks In Endolysosomal Fission And Volume Control, Daric J Wible, Zalak Parikh, Eun Jeong Cho, Miao-Der Chen, Collene R Jeter, Somshuvra Mukhopadhyay, Kevin N Dalby, Shankar Varadarajan, Shawn B Bratton

Faculty, Staff and Student Publications

p38 mitogen-activated protein kinases (MAPKs) participate in autophagic signaling; and previous reports suggest that pyridinyl imidazole p38 MAPK inhibitors, including SB203580 and SB202190, induce cell death in some cancer cell-types through unrestrained autophagy. Subsequent studies, however, have suggested that the associated cytoplasmic vacuolation resulted from off-target inhibition of an unidentified enzyme. Herein, we report that SB203580-induced vacuolation is rapid, reversible, and relies on the class III phosphatidylinositol 3-kinase (PIK3C3) complex and the production of phosphatidylinositol 3-phosphate [PI(3)P] but not on autophagy per se. Rather, vacuolation resulted from the accumulation of Rab7 on late endosome and lysosome (LEL) membranes, combined with …

Fusionnw, A Potential Clinical Impact Assessment Of Kinases In Pan-Cancer Fusion Gene Network, Chengyuan Yang, Himansu Kumar, Pora Kim

Faculty, Staff and Student Publications

Kinase fusion genes are the most active fusion gene group in human cancer fusion genes. To help choose the clinically significant kinase so that the cancer patients that have fusion genes can be better diagnosed, we need a metric to infer the assessment of kinases in pan-cancer fusion genes rather than relying on the sample frequency expressed fusion genes. Most of all, multiple studies assessed human kinases as the drug targets using multiple types of genomic and clinical information, but none used the kinase fusion genes in their study. The assessment studies of kinase without kinase fusion gene events can …

Sigma Leverages Protein Structural Information To Predict The Pathogenicity Of Missense Variants, Hengqiang Zhao, Huakang Du, Sen Zhao, Zefu Chen, Yaqi Li, Kexin Xu, Bowen Liu, Xi Cheng, Wen Wen, Guozhuang Li, Guilin Chen, Zhengye Zhao, Guixing Qiu, Deciphering Disorders Involving Scoliosis & Comorbidities (Disco) Study, Pengfei Liu, Terry Jianguo Zhang, Zhihong Wu, Nan Wu

Faculty, Staff and Students Publications

Leveraging protein structural information to evaluate pathogenicity has been hindered by the scarcity of experimentally determined 3D protein. With the aid of AlphaFold2 predictions, we developed the structure-informed genetic missense mutation assessor (SIGMA) to predict missense variant pathogenicity. In comparison with existing predictors across labeled variant datasets and experimental datasets, SIGMA demonstrates superior performance in predicting missense variant pathogenicity (AUC = 0.933). We found that the relative solvent accessibility of the mutated residue contributed greatly to the predictive ability of SIGMA. We further explored combining SIGMA with other top-tier predictors to create SIGMA+, proving highly effective for variant pathogenicity prediction …

Crispr-Dipoff: An Interpretable Deep Learning Approach For Crispr Cas-9 Off-Target Prediction, Md Toufikuzzaman, Md Abul Hassan Samee, M Sohel Rahman

Faculty, Staff and Students Publications

CRISPR Cas-9 is a groundbreaking genome-editing tool that harnesses bacterial defense systems to alter DNA sequences accurately. This innovative technology holds vast promise in multiple domains like biotechnology, agriculture and medicine. However, such power does not come without its own peril, and one such issue is the potential for unintended modifications (Off-Target), which highlights the need for accurate prediction and mitigation strategies. Though previous studies have demonstrated improvement in Off-Target prediction capability with the application of deep learning, they often struggle with the precision-recall trade-off, limiting their effectiveness and do not provide proper interpretation of the complex decision-making process of …

Extracellular Carriers Control Lipid-Dependent Secretion, Delivery, And Activity Of Wnt Morphogens, Taciani De Almeida Magalhaes, Jingjing Liu, Charlene Chan, Kleiton Silva Borges, Jiuchun Zhang, Andrew J Kane, Bradley M Wierbowski, Yunhui Ge, Zhiwen Liu, Prabhath Mannam, Daniel Zeve, Ron Weiss, David T Breault, Pengxiang Huang, Adrian Salic

Faculty, Staff and Students Publications

WNT morphogens trigger signaling pathways fundamental for embryogenesis, regeneration, and cancer. WNTs are modified with palmitoleate, which is critical for binding Frizzled (FZD) receptors and activating signaling. However, it is unknown how WNTs are released and spread from cells, given their strong lipid-dependent membrane attachment. We demonstrate that secreted FZD-related proteins and WNT inhibitory factor 1 are WNT carriers, potently releasing lipidated WNTs and forming active soluble complexes. WNT release occurs by direct handoff from the membrane protein WNTLESS to the carriers. In turn, carriers donate WNTs to glypicans and FZDs involved in WNT reception and to the NOTUM hydrolase, …

Mypathway Human Epidermal Growth Factor Receptor 2 Basket Study: Pertuzumab + Trastuzumab Treatment Of A Tissue-Agnostic Cohort Of Patients With Human Epidermal Growth Factor Receptor 2-Altered Advanced Solid Tumors, Christopher J Sweeney, John D Hainsworth, Ron Bose, Howard A Burris, Razelle Kurzrock, Charles Swanton, Claire F Friedman, David R Spigel, Tania Szado, Katja Schulze, Richard Price, Julia Malato, Amy A Lo, Jonathan Levy, Yong Wang, Wei Yu, Funda Meric-Bernstam

Faculty, Staff and Student Publications

Clinical trials frequently include multiple end points that mature at different times. The initial report, typically based on the primary end point, may be published when key planned co-primary or secondary analyses are not yet available. Clinical Trial Updates provide an opportunity to disseminate additional results from studies, published in JCO or elsewhere, for which the primary end point has already been reported.The MyPathway multiple-basket study (ClinicalTrials.gov identifier: NCT02091141) is evaluating targeted therapies in nonindicated tumors with relevant molecular alterations. We assessed pertuzumab + trastuzumab in a tissue-agnostic cohort of adult patients with human epidermal growth factor receptor …

Major Stressful Life Events And The Risk Of Pancreatic, Head And Neck Cancers: A Case-Control Study, Arthi Sridhar, Vishaldeep Kaur Sekhon, Chandler Nguyen, Kamelah Abushalha, Amirali Tahanan, Mohammad Hossein Rahbar, Syed Hasan Jafri

Faculty, Staff and Student Publications

BACKGROUND: Major stressful life events have been shown to be associated with an increased risk of lung cancer, breast cancer and the development of various chronic illnesses. The stress response generated by our body results in a variety of physiological and metabolic changes which can affect the immune system and have been shown to be associated with tumor progression. In this study, we aim to determine if major stressful life events are associated with the incidence of head and neck or pancreatic cancer (HNPC).

METHODS: This is a matched case-control study. Cases (CAs) were HNPC patients diagnosed within the previous …

Exploration Of Programmed Cell Death-Associated Characteristics And Immune Infiltration In Neonatal Sepsis: New Insights From Bioinformatics Analysis And Machine Learning, Yun Hang, Huanxia Qu, Juanzhi Yang, Zhang Li, Shiqi Ma, Chenlu Tang, Chuyan Wu, Yunlei Bao, Feng Jiang, Jin Shu

Faculty, Staff and Student Publications

BACKGROUND: Neonatal sepsis, a perilous medical situation, is typified by the malfunction of organs and serves as the primary reason for neonatal mortality. Nevertheless, the mechanisms underlying newborn sepsis remain ambiguous. Programmed cell death (PCD) has a connection with numerous infectious illnesses and holds a significant function in newborn sepsis, potentially serving as a marker for diagnosing the condition.

METHODS: From the GEO public repository, we selected two groups, which we referred to as the training and validation sets, for our analysis of neonatal sepsis. We obtained PCD-related genes from 12 different patterns, including databases and published literature. We first …

Epha2- And Hdac-Targeted Combination Therapy In Endometrial Cancer, Robiya Joseph, Santosh K Dasari, Sujanitha Umamaheswaran, Lingegowda S Mangala, Emine Bayraktar, Cristian Rodriguez-Aguayo, Yutuan Wu, Nghi Nguyen, Reid T Powell, Mary Sobieski, Yuan Liu, Mark Seungwook Kim, Sara Corvigno, Katherine Foster, Pahul Hanjra, Thanh Chung Vu, Mamur A Chowdhury, Paola Amero, Clifford Stephan, Gabriel Lopez-Berestein, Shannon N Westin, Anil K Sood

Faculty, Staff and Student Publications

Endometrial cancer is the most frequent malignant tumor of the female reproductive tract but lacks effective therapy. EphA2, a receptor tyrosine kinase, is overexpressed by various cancers including endometrial cancer and is associated with poor clinical outcomes. In preclinical models, EphA2-targeted drugs had modest efficacy. To discover potential synergistic partners for EphA2-targeted drugs, we performed a high-throughput drug screen and identified panobinostat, a histone deacetylase inhibitor, as a candidate. We hypothesized that combination therapy with an EphA2 inhibitor and panobinostat leads to synergistic cell death. Indeed, we found that the combination enhanced DNA damage, increased apoptosis, and decreased clonogenic survival …

Evaluation Of Potential Biomarkers For Lenvatinib Plus Pembrolizumab Among Patients With Advanced Endometrial Cancer: Results From Study 111/Keynote-146, Vicky Makker, Matthew H Taylor, Carol Aghajanian, Allen L Cohn, Marcia S Brose, Christopher Di Simone, Zhu Alexander Cao, Leah Suttner, Andrey Loboda, Razvan Cristescu, Petar Jelinic, Robert Orlowski, Lea Dutta, Junji Matsui, Corina E Dutcus, Yukinori Minoshima, Mark J Messing

Faculty, Staff and Student Publications

BACKGROUND: Lenvatinib plus pembrolizumab demonstrated clinically meaningful benefit in patients with previously treated advanced endometrial carcinoma in Study 111/KEYNOTE-146 (NCT02501096). In these exploratory analyses from this study, we evaluated the associations between clinical outcomes and gene expression signature scores and descriptively summarized response in biomarker subpopulations defined by tumor mutational burden (TMB) and DNA variants for individual genes of interest.

METHODS: Patients with histologically confirmed metastatic endometrial carcinoma received oral lenvatinib 20 mg once daily plus intravenous pembrolizumab 200 mg every 3 weeks for 35 cycles. Archived formalin-fixed paraffin-embedded tissue was obtained from all patients. T-cell-inflamed gene expression profile (Tcell …

Induced Degradation Of Lineage-Specific Oncoproteins Drives The Therapeutic Vulnerability Of Small Cell Lung Cancer To Parp Inhibitors, Chiho Kim, Xu-Dong Wang, Zhengshuai Liu, Jianwei Hao, Shuai Wang, Peng Li, Zhenzhen Zi, Qing Ding, Seoyeon Jang, Jiwoong Kim, Yikai Luo, Kenneth E Huffman, Shreoshi Pal Choudhuri, Sofia Del Rio, Ling Cai, Han Liang, Benjamin J Drapkin, John D Minna, Yonghao Yu

Faculty, Staff and Student Publications

Although BRCA1/2 mutations are not commonly found in small cell lung cancer (SCLC), a substantial fraction of SCLC shows clinically relevant response to PARP inhibitors (PARPis). However, the underlying mechanism(s) of PARPi sensitivity in SCLC is poorly understood. We performed quantitative proteomic analyses and identified proteomic changes that signify PARPi responses in SCLC cells. We found that the vulnerability of SCLC to PARPi could be explained by the degradation of lineage-specific oncoproteins (e.g., ASCL1). PARPi-induced activation of the E3 ligase HUWE1 mediated the ubiquitin-proteasome system (UPS)-dependent ASCL1 degradation. Although PARPi induced a general DNA damage response in SCLC cells, this …

Epstein-Barr Virus-Based Prognostic Model In Nodular Sclerosis Classic Hodgkin Lymphoma, Chen Jiang, Li-Yun Huang, Ji-Hao Zhou, Zhi-Ming Li, Yu Wang, Shuo Li, Jian-Chang Fu, Qi-Tao Huang, Qin Yan, Yu-Yuan Huang, Min Zuo, Shimin Hu, Robert Peter Gale, Yang Liang, Jing-Ping Yun, Yu-Hua Huang

Faculty, Staff and Student Publications

The role of Epstein-Barr virus (EBV) in lymphoma cells of nodular sclerosis classic Hodgkin lymphoma (NScHL) is controversial. Our aim was to explore this and establish a clinically feasible model for risk stratification. We interrogated data from 542 consecutive subjects with NScHL receiving ABVD therapy and demonstrated EBV-infection in their lymphoma cells with EBV-encoded small RNAs (EBERs) in situ hybridization. Subjects were divided into training and validation datasets. As data from the training dataset suggested EBERs-positivity was the only independent prognostic factor for both progression-free survival (PFS) and overall survival (OS), we developed corresponding prognostic models based on it. Our …

An Incidental Finding Of A High-Grade Glioma With Pleomorphic And Pseudopapillary Features (Hpap) With Pbrm1 Mutation, Maria A Gubbiotti, Jeffrey S Weinberg, Shiao-Pei Weathers, Pushan Dasgupta, Martin C Tom, Kenneth Aldape, Martha Quezado, Zied Abdullaev, Jason T Huse, Leomar Y Ballester

Faculty, Staff and Student Publications

No abstract provided.

Designing Clinical Trials For Patients Who Are Not Average, Thomas E Yankeelov, David A Hormuth, Ernesto A B F Lima, Guillermo Lorenzo, Chengyue Wu, Lois C Okereke, Gaiane M Rauch, Aradhana M Venkatesan, Caroline Chung

Faculty, Staff and Student Publications

The heterogeneity inherent in cancer means that even a successful clinical trial merely results in a therapeutic regimen that achieves, on average, a positive result only in a subset of patients. The only way to optimize an intervention for an individual patient is to reframe their treatment as their own, personalized trial. Toward this goal, we formulate a computational framework for performing personalized trials that rely on four mathematical techniques. First, mathematical models that can be calibrated with patient-specific data to make accurate predictions of response. Second, digital twins built on these models capable of simulating the effects of interventions. …

Advancements In Revascularization Strategies For Acute Mesenteric Ischemia: A Comprehensive Review, Jacob J Gries, Hafeez Ul Hassan Virk, Bing Chen, Takashi Sakamoto, Mahboob Alam, Chayakrit Krittanawong

Faculty, Staff and Students Publications

Even with modern advancements in the management of acute mesenteric ischemia over the past decade, morbidity and mortality remain high, and the best primary treatment modality is still debated amongst interventionalists. Traditionally, interventionalists have favored an open surgical approach but are now trending for endovascular interventions due to apparent reduced mortality and complications. Newer studies suggest hybrid approaches, and intestinal stroke centers may be superior to either strategy alone. This narrative review will explore the natural history of acute mesenteric ischemia with the aim of increasing interventionalist awareness of modern advancements in revascularization strategies for this devastating disease.

Deepvelo: Deep Learning Extends Rna Velocity To Multi-Lineage Systems With Cell-Specific Kinetics, Haotian Cui, Hassaan Maan, Maria C Vladoiu, Jiao Zhang, Michael D Taylor, Bo Wang

Faculty, Staff and Students Publications

Existing RNA velocity estimation methods strongly rely on predefined dynamics and cell-agnostic constant transcriptional kinetic rates, assumptions often violated in complex and heterogeneous single-cell RNA sequencing (scRNA-seq) data. Using a graph convolution network, DeepVelo overcomes these limitations by generalizing RNA velocity to cell populations containing time-dependent kinetics and multiple lineages. DeepVelo infers time-varying cellular rates of transcription, splicing, and degradation, recovers each cell's stage in the differentiation process, and detects functionally relevant driver genes regulating these processes. Application to various developmental and pathogenic processes demonstrates DeepVelo's capacity to study complex differentiation and lineage decision events in heterogeneous scRNA-seq data.

Organelle Proteomic Profiling Reveals Lysosomal Heterogeneity In Association With Longevity, Yong Yu, Shihong M Gao, Youchen Guan, Pei-Wen Hu, Qinghao Zhang, Jiaming Liu, Bentian Jing, Qian Zhao, David M Sabatini, Monther Abu-Remaileh, Sung Yun Jung, Meng C Wang

Faculty, Staff and Students Publications

Lysosomes are active sites to integrate cellular metabolism and signal transduction. A collection of proteins associated with the lysosome mediate these metabolic and signaling functions. Both lysosomal metabolism and lysosomal signaling have been linked to longevity regulation; however, how lysosomes adjust their protein composition to accommodate this regulation remains unclear. Using deep proteomic profiling, we systemically profiled lysosome-associated proteins linked with four different longevity mechanisms. We discovered the lysosomal recruitment of AMP-activated protein kinase and nucleoporin proteins and their requirements for longevity in response to increased lysosomal lipolysis. Through comparative proteomic analyses of lysosomes from different tissues and labeled with …

Live Calcium Imaging Of Virus-Infected Human Intestinal Organoid Monolayers Using Genetically Encoded Calcium Indicators, J Thomas Gebert, Francesca J Scribano, Kristen A Engevik, Joseph M Hyser

Faculty, Staff and Students Publications

Calcium signaling is an integral regulator of nearly every tissue. Within the intestinal epithelium, calcium is involved in the regulation of secretory activity, actin dynamics, inflammatory responses, stem cell proliferation, and many other uncharacterized cellular functions. As such, mapping calcium signaling dynamics within the intestinal epithelium can provide insight into homeostatic cellular processes and unveil unique responses to various stimuli. Human intestinal organoids (HIOs) are a high-throughput, human-derived model to study the intestinal epithelium and thus represent a useful system to investigate calcium dynamics. This paper describes a protocol to stably transduce HIOs with genetically encoded calcium indicators (GECIs), perform …

Dietary Folate And Cofactors Accelerate Age-Dependent P16 Epimutation To Promote Intestinal Tumorigenesis, Li Yang, Robert C Peery, Leah M Farmer, Xia Gao, Yiqun Zhang, Chad J Creighton, Lanjing Zhang, Lanlan Shen

Faculty, Staff and Students Publications

The extent to which non-genetic environmental factors, such as diet, contribute to carcinogenesis has been long debated. One potential mechanism for the effects of environmental factors is through epigenetic modifications that affect gene expression without changing the underlying DNA sequence. However, the functional cooperation between dietary factors and cancer-causing epigenetic regulation is largely unknown. Here, we use a mouse model of age-dependent p16 epimutation, in which the p16 gene activity is directly controlled by promoter DNA methylation. We show p16 epimutation is modulated by folate and cofactors in dietary supplementation, which leads to increased colon cancer risk. Importantly, our findings …

Editorial: Recommendations On Inclusive Language And Transparent Reporting Relating To Diversity Dimensions For The Journal Of Pediatric Psychology And Clinical Practice In Pediatric Psychology, Avani C Modi, Sarah J Beal, Stephen P Becker, Katelynn E Boerner, E Thomaseo Burton, Diane Chen, Lori E Crosby, Marisa E Hilliard, Anna M Hood, Nicole A Kahhan, Emily Law, Kristin A Long, Meghan E Mcgrady, Rachel E Sweenie, Idia B Thurston, Cecelia Valrie, Yelena P Wu, Christina L Duncan

Faculty, Staff and Students Publications

No abstract provided.

Polygenic Scores For Tobacco Use Provide Insights Into Systemic Health Risks In A Diverse Ehr-Linked Biobank In Los Angeles, Vidhya Venkateswaran, Kristin Boulier, Yi Ding, Ruth Johnson, Arjun Bhattacharya, Bogdan Pasaniuc

Faculty, Staff and Student Publications

Tobacco use is a major risk factor for many diseases and is heavily influenced by environmental factors with significant underlying genetic contributions. Here, we evaluated the predictive performance, risk stratification, and potential systemic health effects of tobacco use disorder (TUD) predisposing germline variants using a European- ancestry-derived polygenic score (PGS) in 24,202 participants from the multi-ancestry, hospital-based UCLA ATLAS biobank. Among genetically inferred ancestry groups (GIAs), TUD-PGS was significantly associated with TUD in European American (EA) (OR: 1.20, CI: [1.16, 1.24]), Hispanic/Latin American (HL) (OR:1.19, CI: [1.11, 1.28]), and East Asian American (EAA) (OR: 1.18, CI: [1.06, 1.31]) GIAs but …

Revealing Chronic Disease Progression Patterns Using Gaussian Process For Stage Inference, Yanfei Wang, Weiling Zhao, Angela Ross, Lei You, Hongyu Wang, Xiaobo Zhou

Faculty, Staff and Student Publications

OBJECTIVE: The early stages of chronic disease typically progress slowly, so symptoms are usually only noticed until the disease is advanced. Slow progression and heterogeneous manifestations make it challenging to model the transition from normal to disease status. As patient conditions are only observed at discrete timestamps with varying intervals, an incomplete understanding of disease progression and heterogeneity affects clinical practice and drug development.

MATERIALS AND METHODS: We developed the Gaussian Process for Stage Inference (GPSI) approach to uncover chronic disease progression patterns and assess the dynamic contribution of clinical features. We tested the ability of the GPSI to reliably …

Syphilis Complicating Pregnancy And Congenital Syphilis, Irene A Stafford, Kimberly A Workowski, Laura H Bachmann

Faculty, Staff and Student Publications

No abstract provided.

Maestros Of Anesthesia, Romeesa Khan, Rodney M Ritzel

Faculty, Staff and Student Publications

Microglia regulate anesthesia by altering the activity of neurons in specific regions of the brain via a purinergic receptor.

Enabling The Clinical Application Of Artificial Intelligence In Genomics: A Perspective Of The Amia Genomics And Translational Bioinformatics Workgroup, Nephi A Walton, Radha Nagarajan, Chen Wang, Murat Sincan, Robert R Freimuth, David B Everman, Derek C Walton, Scott P Mcgrath, Dominick J Lemas, Panayiotis V Benos, Alexander V Alekseyenko, Qianqian Song, Ece Gamsiz Uzun, Casey Overby Taylor, Alper Uzun, Thomas Nate Person, Nadav Rappoport, Zhongming Zhao, Marc S Williams

Faculty, Staff and Student Publications

OBJECTIVE: Given the importance AI in genomics and its potential impact on human health, the American Medical Informatics Association-Genomics and Translational Biomedical Informatics (GenTBI) Workgroup developed this assessment of factors that can further enable the clinical application of AI in this space.

PROCESS: A list of relevant factors was developed through GenTBI workgroup discussions in multiple in-person and online meetings, along with review of pertinent publications. This list was then summarized and reviewed to achieve consensus among the group members.

CONCLUSIONS: Substantial informatics research and development are needed to fully realize the clinical potential of such technologies. The development of …

Predicting Radiotherapy Patient Outcomes With Real-Time Clinical Data Using Mathematical Modelling, Alexander P Browning, Thomas D Lewin, Ruth E Baker, Philip K Maini, Eduardo G Moros, Jimmy Caudell, Helen M Byrne, Heiko Enderling

Faculty, Staff and Student Publications

Longitudinal tumour volume data from head-and-neck cancer patients show that tumours of comparable pre-treatment size and stage may respond very differently to the same radiotherapy fractionation protocol. Mathematical models are often proposed to predict treatment outcome in this context, and have the potential to guide clinical decision-making and inform personalised fractionation protocols. Hindering effective use of models in this context is the sparsity of clinical measurements juxtaposed with the model complexity required to produce the full range of possible patient responses. In this work, we present a compartment model of tumour volume and tumour composition, which, despite relative simplicity, is …