Genetic Phenomena Commons^™

Patient Perspectives On Noninvasive Prenatal Testing Among Black Women In The United States: A Scoping Review, Shameka P. Thomas, Madison A. Keller, Tiara Ranson, Rachele E. Willard

School of Medicine Faculty Publications

Advances in reproductive health technologies such as noninvasive prenatal testing (NIPT) are changing the landscape of prenatal care and maternal health. NIPT, made clinically available in the United States (US) in 2011, is a screening test that utilizes cell-free DNA (cfDNA) to detect for aneuploidies and genetic characteristics in fetal DNA. In September 2020, the American College of Obstetricians and Gynecologists (ACOG) recommended NIPT for all pregnant patients regardless of age or risk factors. We examined peer-reviewed, empirical studies published from January 2011 to February 2022, assessing NIPT studies with patient perspectives in the US and what is known about …

Interactions Of Snps In Folate Metabolism Related Genes On Prostate Cancer Aggressiveness In European Americans And African Americans, Hui Yi Lin, Susan E. Steck, Indrani Sarkar, Elizabeth T.H. Fontham, Alan Diekman, Lora J. Rogers, Calvin T. Ratliff, Jeannette T. Bensen, James L. Mohler, L. Joseph Su

School of Public Health Faculty Publications

Background: Studies showed that folate and related single nucleotide polymorphisms (SNPs) could predict prostate cancer (PCa) risk. However, little is known about the interactions of folate-related SNPs associated with PCa aggressiveness. The study’s objective is to evaluate SNP–SNP interactions among the DHFR 19-bp polymorphism and 10 SNPs in folate metabolism and the one-carbon metabolism pathway associated with PCa aggressiveness. Methods: We evaluated 1294 PCa patients, including 690 European Americans (EAs) and 604 African Americans (AAs). Both individual SNP effects and pairwise SNP–SNP interactions were analyzed. Results: None of the 11 individual polymorphisms were significant for EAs and AAs. Three SNP–SNP …

Customizable Landmark-Based Field Aperture Design For Automated Whole-Brain Radiotherapy Treatment Planning, Yao Xiao, Carlos Cardenas, Dong Joo Rhee, Tucker Netherton, Lifei Zhang, Callistus Nguyen, Raphael Douglas, Raymond Mumme, Stephen Skett, Tina Patel, Chris Trauernicht, Caroline Chung, Hannah Simonds, Ajay Aggarwal, Laurence Court

Faculty, Staff and Student Publications

Purpose: To develop and evaluate an automated whole-brain radiotherapy (WBRT) treatment planning pipeline with a deep learning-based auto-contouring and customizable landmark-based field aperture design.

Methods: The pipeline consisted of the following steps: (1) Auto-contour normal structures on computed tomography scans and digitally reconstructed radiographs using deep learning techniques, (2) locate the landmark structures using the beam's-eye-view, (3) generate field apertures based on eight different landmark rules addressing different clinical purposes and physician preferences. Two parallel approaches for generating field apertures were developed for quality control. The performance of the generated field shapes and dose distributions were compared with the original …

Impact Of Dose Calculation Accuracy On Inverse Linear Energy Transfer Optimization For Intensity-Modulated Proton Therapy, Mei Chen, Wenhua Cao, Pablo Yepes, Fada Guan, Falk Poenisch, Cheng Xu, Jiayi Chen, Yupeng Li, Ivan Vazquez, Ming Yang, X Ronald Zhu, Xiaodong Zhang

Faculty, Staff and Student Publications

Objective: To determine the effect of dose calculation accuracy on inverse linear energy transfer (LET) optimization for intensity-modulated proton therapy, and to determine whether adding more beams would improve the plan robustness to different dose calculation engines.

Methods: Two sets of intensity-modulated proton therapy plans using two, four, six, and nine beams were created for 10 prostate cancer patients: one set was optimized with dose constraints (DoseOpt) using the pencil beam (PB) algorithm, and the other set was optimized with additional LET constraints (LETOpt) using the Monte Carlo (MC) algorithm. Dose distributions of DoseOpt plans were then recalculated using the …

Intellectual Disability Related To De Novo Germline Loss Of The Distal End Of The P-Arm Of Chromosome 17: A Case Report, Eden Pope, Matthew Huertas, Amar Paul, Braden Cunningham, Matthew Jennings, Ryan Perry, Stephanie Chavez, John A. Kriak, Kyle B. Bills, David W. Sant

Annual Research Symposium

Hypothesis/Purpose: In this report we present a case of a 20-year-old female with congenital intellectual disability, stunted growth, and hypothyroidism. Competitive genetic hybridization (CHG) revealed a loss of 17p13.3, and the deletion was not present in either parent. This deletion has not previously been characterized, but mutations on the p-arm of chromosome 17 are responsible for Miller-Dieker Syndrome and Isolated Lissencephaly Sequence, both of which share symptoms in common with the patient.

Methods: Peripheral mononuclear cells (PBMCs) were used for karyotyping and competitive genetic hybridization (CHG). Bioinformatic analysis was carried out using the Genome Data Viewer (ncbi.nlm.nih.gov/genome/gdv).

Results: Karyotype was …

Life-Threatening Complications Of Influenza Vs Coronavirus Disease 2019 (Covid-19) In Us Children, Natasha B Halasa, Andrew J Spieker, Cameron C Young, Samantha M Olson, Margaret M Newhams, Justin Z Amarin, Kristin L Moffitt, Mari M Nakamura, Emily R Levy, Vijaya L Soma, Rana Talj, Scott L Weiss, Julie C Fitzgerald, Elizabeth H Mack, Aline B Maddux, Jennifer E Schuster, Bria M Coates, Mark W Hall, Stephanie P Schwartz, Adam J Schwarz, Michele Kong, Philip C Spinella, Laura L Loftis, Gwenn E Mclaughlin, Charlotte V Hobbs, Courtney M Rowan, Melania M Bembea, Ryan A Nofziger, Christopher J Babbitt, Cindy Bowens, Heidi R Flori, Shira J Gertz, Matt S Zinter, John S Giuliano, Janet R Hume, Natalie Z Cvijanovich, Aalok R Singh, Hillary A Crandall, Neal J Thomas, Melissa L Cullimore, Manish M Patel, Adrienne G Randolph, Pediatric Intensive Care Influenza, Overcoming Covid-19 Investigators

Faculty, Staff and Student Publications

Background: Clinical differences between critical illness from influenza infection vs coronavirus disease 2019 (COVID-19) have not been well characterized in pediatric patients.

Methods: We compared demographics, clinical characteristics, and outcomes of US children (aged 8 months to 17 years) admitted to the intensive care or high-acuity unit with influenza or COVID-19. Using mixed-effects models, we assessed the odds of death or requiring life support for influenza vs COVID-19 after adjustment for age, sex, race and Hispanic origin, and underlying conditions including obesity.

Results: Children with influenza (n = 179) were younger than those with COVID-19 (n = 381; median, 5.2 …

Discovering A New Part Of The Phenotypic Spectrum Of Coffin-Siris Syndrome In A Fetal Cohort, Pleuntje J Van Der Sluijs, Marieke Joosten, Caroline Alby, Tania Attié-Bitach, Kelly Gilmore, Christele Dubourg, Mélanie Fradin, Tianyun Wang, Evangeline C Kurtz-Nelson, Kaitlyn P Ahlers, Peer Arts, Christopher P Barnett, Myla Ashfaq, Anwar Baban, Myrthe Van Den Born, Sarah Borrie, Tiffany Busa, Alicia Byrne, Miriam Carriero, Claudia Cesario, Karen Chong, Anna Maria Cueto-González, Jennifer C Dempsey, Karin E M Diderich, Dan Doherty, Stense Farholt, Erica H Gerkes, Svetlana Gorokhova, Lutgarde C P Govaerts, Pernille A Gregersen, Scott E Hickey, Mathilde Lefebvre, Francesca Mari, Jelena Martinovic, Hope Northrup, Melanie O'Leary, Kareesma Parbhoo, Sophie Patrier, Bernt Popp, Fernando Santos-Simarro, Corinna Stoltenburg, Christel Thauvin-Robinet, Elisabeth Thompson, Anneke T Vulto-Van Silfhout, Farah R Zahir, Hamish S Scott, Rachel K Earl, Evan E Eichler, Neeta L Vora, Yael Wilnai, Jessica L Giordano, Ronald J Wapner, Jill A Rosenfeld, Monique C Haak, Gijs W E Santen

Faculty, Staff and Student Publications

In the article “Discovering a new part of the phenotypic spectrum of Coffin-Siris syndrome in a fetal cohort” by van der Sluijs PJ et al (Genet Med 2022;24:1753–1760), the author listing was updated in the Supplementary Material from “H. Scott” to “H. S. Scott” and in Supplemental Figure 1 the labels in the figure caption for A, B, C, and D have been updated to match the figure artwork. The revised supplement file has been published with this correction.

Association Between Covid-19 And Postoperative Neurological Complications And Antipsychotic Medication Use After Cancer Surgery: A Retrospective Study, Juan P Cata, Jian Hu, Lei Feng, Caroline Chung, Scott E Woodman, Larissa A Meyer

Faculty, Staff and Student Publications

Introduction: Millions of Americans infected with the severe acute respiratory syndrome-associated coronavirus-19 (COVID-19) need oncologic surgery. Patients with acute or resolved COVID-19 illness complain of neuropsychiatric symptoms. How surgery affects postoperative neuropsychiatric outcomes such as delirium is unknown. We hypothesize that patients with a history of COVID-19 could have an exaggerated risk of developing postoperative delirium after undergoing major elective oncologic surgery.

Methods: We conducted a retrospective study to determine the association between COVID-19 status and antipsychotic drugs during postsurgical hospitalization as a surrogate of delirium. Secondary outcomes included 30 days of postoperative complications, length of stay, and mortality. Patients …

A Rapid, Low-Cost, And Highly Sensitive Sars-Cov-2 Diagnostic Based On Whole-Genome Sequencing, Per A Adastra, Neva C Durand, Namita Mitra, Saul Godinez Pulido, Ragini Mahajan, Alyssa Blackburn, Zane L Colaric, Joshua W M Theisen, David Weisz, Olga Dudchenko, Andreas Gnirke, Suhas S P Rao, Parwinder Kaur, Erez Lieberman Aiden, Aviva Presser Aiden

Faculty, Staff and Students Publications

Early detection of SARS-CoV-2 infection is key to managing the current global pandemic, as evidence shows the virus is most contagious on or before symptom onset. Here, we introduce a low-cost, high-throughput method for diagnosing and studying SARS-CoV-2 infection. Dubbed Pathogen-Oriented Low-Cost Assembly & Re-Sequencing (POLAR), this method amplifies the entirety of the SARS-CoV-2 genome. This contrasts with typical RT-PCR-based diagnostic tests, which amplify only a few loci. To achieve this goal, we combine a SARS-CoV-2 enrichment method developed by the ARTIC Network (https://artic.network/) with short-read DNA sequencing and de novo genome assembly. Using this method, we can reliably ( …

Factors Modulating 99mtc-Maa Planar Lung Dosimetry For 90y Radioembolization, Benjamin P Lopez, Armeen Mahvash, James P Long, Marnix G E H Lam, S Cheenu Kappadath

Faculty, Staff and Student Publications

Purpose: To investigate the accuracy and biases of predicted lung shunt fraction (LSF) and lung dose (LD) calculations via 99m Tc-macro-aggregated albumin (99m Tc-MAA) planar imaging for treatment planning of 90 Y-microsphere radioembolization.

Methods and materials: LSFs in 52 planning and LDs in 44 treatment procedures were retrospectively calculated, in consecutive radioembolization patients over a 2 year interval, using 99m Tc-MAA planar and SPECT/CT imaging. For each procedure, multiple planar LSFs and LDs were calculated using different: (1) contours, (2) views, (3) liver 99m Tc-MAA shine-through compensations, and (4) lung mass estimations. The accuracy of each planar-based LSF and LD …

Impact Of Molecular Sequence Data Completeness On Hiv Cluster Detection And A Network Science Approach To Enhance Detection, Sepideh Mazrouee, Camden J Hallmark, Ricardo Mora, Natascha Del Vecchio, Rocio Carrasco Hernandez, Michelle Carr, Marlene Mcneese, Kayo Fujimoto, Joel O Wertheim

Faculty, Staff and Student Publications

Detection of viral transmission clusters using molecular epidemiology is critical to the response pillar of the Ending the HIV Epidemic initiative. Here, we studied whether inference with an incomplete dataset would influence the accuracy of the reconstructed molecular transmission network. We analyzed viral sequence data available from ~ 13,000 individuals with diagnosed HIV (2012-2019) from Houston Health Department surveillance data with 53% completeness (n = 6852 individuals with sequences). We extracted random subsamples and compared the resulting reconstructed networks versus the full-size network. Increasing simulated completeness was associated with an increase in the number of detected clusters. We also subsampled …

Sars-Cov-2 Incubation Period According To Vaccination Status During The Fifth Covid-19 Wave In A Tertiary-Care Center In Spain: A Cohort Study, Jordi Cortés Martínez, Daewoo Pak, Gabriela Abelenda-Alonso, Klaus Langohr, Jing Ning, Alexander Rombauts, Mireia Colom, Yu Shen, Guadalupe Gómez Melis

Faculty, Staff and Student Publications

Background: The incubation period of an infectious disease is defined as the elapsed time between the exposure to the pathogen and the onset of symptoms. Although both the mRNA-based and the adenoviral vector-based vaccines have shown to be effective, there have been raising concerns regarding possible decreases in vaccine effectiveness for new variants and variations in the incubation period.

Methods: We conducted a unicentric observational study at the Hospital Universitari de Bellvitge, Barcelona, using a structured telephone survey performed by trained interviewers to estimate the incubation period of the SARS-CoV-2 Delta variant in a cohort of Spanish hospitalized patients. The …

Whole Genome Sequence Analysis Of Blood Lipid Levels In >66,000 Individuals, Margaret Sunitha Selvaraj, Xihao Li, Zilin Li, Akhil Pampana, David Y Zhang, Joseph Park, Stella Aslibekyan, Joshua C Bis, Jennifer A Brody, Brian E Cade, Lee-Ming Chuang, Ren-Hua Chung, Joanne E Curran, Lisa De Las Fuentes, Paul S De Vries, Ravindranath Duggirala, Barry I Freedman, Mariaelisa Graff, Xiuqing Guo, Nancy Heard-Costa, Bertha Hidalgo, Chii-Min Hwu, Marguerite R Irvin, Tanika N Kelly, Brian G Kral, Leslie Lange, Xiaohui Li, Martin Lisa, Steven A Lubitz, Ani W Manichaikul, Preuss Michael, May E Montasser, Alanna C Morrison, Take Naseri, Jeffrey R O'Connell, Nicholette D Palmer, Patricia A Peyser, Muagututia S Reupena, Jennifer A Smith, Xiao Sun, Kent D Taylor, Russell P Tracy, Michael Y Tsai, Zhe Wang, Yuxuan Wang, Wei Bao, John T Wilkins, Lisa R Yanek, Wei Zhao, Donna K Arnett, John Blangero, Eric Boerwinkle, Donald W Bowden, Yii-Der Ida Chen, Adolfo Correa, L Adrienne Cupples, Susan K Dutcher, Patrick T Ellinor, Myriam Fornage, Stacey Gabriel, Soren Germer, Richard Gibbs, Jiang He, Robert C Kaplan, Sharon L R Kardia, Ryan Kim, Charles Kooperberg, Ruth J F Loos, Karine A Viaud-Martinez, Rasika A Mathias, Stephen T Mcgarvey, Braxton D Mitchell, Deborah Nickerson, Kari E North, Bruce M Psaty, Susan Redline, Alexander P Reiner, Ramachandran S Vasan, Stephen S Rich, Cristen Willer, Jerome I Rotter, Daniel J Rader, Xihong Lin, Gina M Peloso, Pradeep Natarajan

Faculty, Staff and Student Publications

Blood lipids are heritable modifiable causal factors for coronary artery disease. Despite well-described monogenic and polygenic bases of dyslipidemia, limitations remain in discovery of lipid-associated alleles using whole genome sequencing (WGS), partly due to limited sample sizes, ancestral diversity, and interpretation of clinical significance. Among 66,329 ancestrally diverse (56% non-European) participants, we associate 428M variants from deep-coverage WGS with lipid levels; ~400M variants were not assessed in prior lipids genetic analyses. We find multiple lipid-related genes strongly associated with blood lipids through analysis of common and rare coding variants. We discover several associated rare non-coding variants, largely at Mendelian lipid …

Brequinar And Dipyridamole In Combination Exhibits Synergistic Antiviral Activity Against Sars-Cov-2 In Vitro: Rationale For A Host-Acting Antiviral Treatment Strategy For Covid-19, James F Demarest, Maryline Kienle, Ruthmabel Boytz, Mary Ayres, Eun Jung Kim, J J Patten, Donghoon Chung, Varsha Gandhi, Robert A Davey, David B Sykes, Nadim Shohdy, John C Pottage, Vikram S Kumar

Faculty, Staff and Student Publications

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of coronavirus disease 2019 (COVID-19) and the associated global pandemic resulting in >400 million infections worldwide and several million deaths. The continued evolution of SARS-CoV-2 to potentially evade vaccines and monoclonal antibody (mAb)-based therapies and the limited number of authorized small-molecule antivirals necessitates the need for development of new drug treatments. There remains an unmet medical need for effective and convenient treatment options for SARS-CoV-2 infection. SARS-CoV-2 is an RNA virus that depends on host intracellular ribonucleotide pools for its replication. Dihydroorotate dehydrogenase (DHODH) is a ubiquitous host …

Pin-Pointing The Key Hubs In The Ifn-Γ Pathway Responding To Sars-Cov-2 Infection, Ayelen Toro, Sofia Lage-Vickers, Juan Bizzotto, Felipe Vilicich, Agustina Sabater, Gaston Pascual, Sabrina Ledesma-Bazan, Pablo Sanchis, Maria Sol Ruiz, Ana Paula Arevalo, Jorge L Porfido, Mercedes Abbate, Rocio Seniuk, Estefania Labanca, Nicolas Anselmino, Nora M Navone, Daniel F Alonso, Elba Vazquez, Martina Crispo, Javier Cotignola, Geraldine Gueron

Faculty, Staff and Student Publications

Interferon gamma (IFN-γ) may be potential adjuvant immunotherapy for COVID-19 patients. In this work, we assessed gene expression profiles associated with the IFN-γ pathway in response to SARS-CoV-2 infection. Employing a case-control study from SARS-CoV-2-positive and -negative patients, we identified IFN-γ-associated pathways to be enriched in positive patients. Bioinformatics analyses showed upregulation of MAP2K6, CBL, RUNX3, STAT1, and JAK2 in COVID-19-positive vs. -negative patients. A positive correlation was observed between STAT1/JAK2, which varied alongside the patient's viral load. Expression of MX1, MX2, ISG15, and OAS1 (four well-known IFN-stimulated genes (ISGs)) …

Genome-Wide Association Analyses Of Physical Activity And Sedentary Behavior Provide Insights Into Underlying Mechanisms And Roles In Disease Prevention, Zhe Wang, Andrew Emmerich, Nicolas J Pillon, Tim Moore, Daiane Hemerich, Marilyn C Cornelis, Eugenia Mazzaferro, Siacia Broos, Tarunveer S Ahluwalia, Traci M Bartz, Amy R Bentley, Lawrence F Bielak, Mike Chong, Audrey Y Chu, Diane Berry, Rajkumar Dorajoo, Nicole D Dueker, Elisa Kasbohm, Bjarke Feenstra, Mary F Feitosa, Christian Gieger, Mariaelisa Graff, Leanne M Hall, Toomas Haller, Fernando P Hartwig, David A Hillis, Ville Huikari, Nancy Heard-Costa, Christina Holzapfel, Anne U Jackson, Åsa Johansson, Anja Moltke Jørgensen, Marika A Kaakinen, Robert Karlsson, Kathleen F Kerr, Boram Kim, Chantal M Koolhaas, Zoltan Kutalik, Vasiliki Lagou, Penelope A Lind, Mattias Lorentzon, Leo-Pekka Lyytikäinen, Massimo Mangino, Christoph Metzendorf, Kristine R Monroe, Alexander Pacolet, Louis Pérusse, Rene Pool, Rebecca C Richmond, Natalia V Rivera, Sebastien Robiou-Du-Pont, Katharina E Schraut, Christina-Alexandra Schulz, Heather M Stringham, Toshiko Tanaka, Alexander Teumer, Constance Turman, Peter J Van Der Most, Mathias Vanmunster, Frank J A Van Rooij, Jana V Van Vliet-Ostaptchouk, Xiaoshuai Zhang, Jing-Hua Zhao, Wei Zhao, Zhanna Balkhiyarova, Marie N Balslev-Harder, Sebastian E Baumeister, John Beilby, John Blangero, Dorret I Boomsma, Soren Brage, Peter S Braund, Jennifer A Brody, Marcel Bruinenberg, Ulf Ekelund, Ching-Ti Liu, John W Cole, Francis S Collins, L Adrienne Cupples, Tõnu Esko, Stefan Enroth, Jessica D Faul, Lindsay Fernandez-Rhodes, Alison E Fohner, Oscar H Franco, Tessel E Galesloot, Scott D Gordon, Niels Grarup, Catharina A Hartman, Gerardo Heiss, Jennie Hui, Thomas Illig, Russell Jago, Alan James, Peter K Joshi, Taeyeong Jung, Mika Kähönen, Tuomas O Kilpeläinen, Woon-Puay Koh, Ivana Kolcic, Peter P Kraft, Johanna Kuusisto, Lenore J Launer, Aihua Li, Allan Linneberg, Jian'an Luan, Pedro Marques Vidal, Sarah E Medland, Yuri Milaneschi, Arden Moscati, Bill Musk, Christopher P Nelson, Ilja M Nolte, Nancy L Pedersen, Annette Peters, Patricia A Peyser, Christine Power, Olli T Raitakari, Mägi Reedik, Alex P Reiner, Paul M Ridker, Igor Rudan, Kathy Ryan, Mark A Sarzynski, Laura J Scott, Robert A Scott, Stephen Sidney, Kristin Siggeirsdottir, Albert V Smith, Jennifer A Smith, Emily Sonestedt, Marin Strøm, E Shyong Tai, Koon K Teo, Barbara Thorand, Anke Tönjes, Angelo Tremblay, Andre G Uitterlinden, Jagadish Vangipurapu, Natasja Van Schoor, Uwe Völker, Gonneke Willemsen, Kayleen Williams, Quenna Wong, Huichun Xu, Kristin L Young, Jian Min Yuan, M Carola Zillikens, Alan B Zonderman, Adam Ameur, Stefania Bandinelli, Joshua C Bis, Michael Boehnke, Claude Bouchard, Daniel I Chasman, George Davey Smith, Eco J C De Geus, Louise Deldicque, Marcus Dörr, Michele K Evans, Luigi Ferrucci, Myriam Fornage, Caroline Fox, Theodore Garland, Vilmundur Gudnason, Ulf Gyllensten, Torben Hansen, Caroline Hayward, Bernardo L Horta, Elina Hyppönen, Marjo-Riitta Jarvelin, W Craig Johnson, Sharon L R Kardia, Lambertus A Kiemeney, Markku Laakso, Claudia Langenberg, Terho Lehtimäki, Loic Le Marchand, Patrik K E Magnusson, Nicholas G Martin, Mads Melbye, Andres Metspalu, David Meyre, Kari E North, Claes Ohlsson, Albertine J Oldehinkel, Marju Orho-Melander, Guillaume Pare, Taesung Park, Oluf Pedersen, Brenda W J H Penninx, Tune H Pers, Ozren Polasek, Inga Prokopenko, Charles N Rotimi, Nilesh J Samani, Xueling Sim, Harold Snieder, Thorkild I A Sørensen, Tim D Spector, Nicholas J Timpson, Rob M Van Dam, Nathalie Van Der Velde, Cornelia M Van Duijn, Peter Vollenweider, Henry Völzke, Trudy Voortman, Gérard Waeber, Nicholas J Wareham, David R Weir, Heinz-Erich Wichmann, James F Wilson, Andrea L Hevener, Anna Krook, Juleen R Zierath, Martine A I Thomis, Ruth J F Loos, Marcel Den Hoed

Faculty, Staff and Student Publications

Although physical activity and sedentary behavior are moderately heritable, little is known about the mechanisms that influence these traits. Combining data for up to 703,901 individuals from 51 studies in a multi-ancestry meta-analysis of genome-wide association studies yields 99 loci that associate with self-reported moderate-to-vigorous intensity physical activity during leisure time (MVPA), leisure screen time (LST) and/or sedentary behavior at work. Loci associated with LST are enriched for genes whose expression in skeletal muscle is altered by resistance training. A missense variant in ACTN3 makes the alpha-actinin-3 filaments more flexible, resulting in lower maximal force in isolated type IIA muscle …

Repurposing Epigenetic Inhibitors To Target The Clostridioides Difficile-Specific Dna Adenine Methyltransferase And Sporulation Regulator Cama, Jujun Zhou, John R Horton, Dan Yu, Ren Ren, Robert M Blumenthal, Xing Zhang, Xiaodong Cheng

Faculty, Staff and Student Publications

Epigenetically targeted therapeutic development, particularly for SAM-dependent methylations of DNA, mRNA and histones has been proceeding rapidly for cancer treatments over the past few years. However, this approach has barely begun to be exploited for developing new antibiotics, despite an overwhelming global need to counter antimicrobial resistance. Here, we explore whether SAM analogues, some of which are in (pre)clinical studies as inhibitors of human epigenetic enzymes, can also inhibit Clostridioides difficile-specific DNA adenine methyltransferase (CamA), a sporulation regulator present in all C. difficile genomes sequenced to date, but found in almost no other bacteria. We found that SGC0946 (an …

Clinical Acceptability Of Fully Automated External Beam Radiotherapy For Cervical Cancer With Three Different Beam Delivery Techniques, Dong Joo Rhee, Anuja Jhingran, Kai Huang, Tucker J Netherton, Nazia Fakie, Ingrid White, Alicia Sherriff, Carlos E Cardenas, Lifei Zhang, Surendra Prajapati, Stephen F Kry, Beth M Beadle, William Shaw, Frederika O'Reilly, Jeannette Parkes, Hester Burger, Chris Trauernicht, Hannah Simonds, Laurence E Court

Faculty, Staff and Student Publications

Purpose: To fully automate CT-based cervical cancer radiotherapy by automating contouring and planning for three different treatment techniques.

Methods: We automated three different radiotherapy planning techniques for locally advanced cervical cancer: 2D 4-field-box (4-field-box), 3D conformal radiotherapy (3D-CRT), and volumetric modulated arc therapy (VMAT). These auto-planning algorithms were combined with a previously developed auto-contouring system. To improve the quality of the 4-field-box and 3D-CRT plans, we used an in-house, field-in-field (FIF) automation program. Thirty-five plans were generated for each technique on CT scans from multiple institutions and evaluated by five experienced radiation oncologists from three different countries. Every plan was …

Development And Validation Of A Checklist For Use With Automatically Generated Radiotherapy Plans, Kelly A Nealon, Laurence E Court, Raphael J Douglas, Lifei Zhang, Eun Young Han

Faculty, Staff and Student Publications

Purpose: To develop a checklist that improves the rate of error detection during the plan review of automatically generated radiotherapy plans.

Methods: A custom checklist was developed using guidance from American Association of Physicists in Medicine task groups 275 and 315 and the results of a failure modes and effects analysis of the Radiation Planning Assistant (RPA), an automated contouring and treatment planning tool. The preliminary checklist contained 90 review items for each automatically generated plan. In the first study, eight physicists were recruited from our institution who were familiar with the RPA. Each physicist reviewed 10 artificial intelligence-generated resident …

An Empirical Model Of Proton Rbe Based On The Linear Correlation Between X-Ray And Proton Radiosensitivity, David B Flint, Chase E Ruff, Scott J Bright, Pablo Yepes, Qianxia Wang, Mandira Manandhar, Mariam Ben Kacem, Broderick X Turner, David K J Martinus, Simona F Shaitelman, Gabriel O Sawakuchi

Faculty, Staff and Student Publications

Background: Proton relative biological effectiveness (RBE) is known to depend on physical factors of the proton beam, such as its linear energy transfer (LET), as well as on cell-line specific biological factors, such as their ability to repair DNA damage. However, in a clinical setting, proton RBE is still considered to have a fixed value of 1.1 despite the existence of several empirical models that can predict proton RBE based on how a cell's survival curve (linear-quadratic model [LQM]) parameters α and β vary with the LET of the proton beam. Part of the hesitation to incorporate variable RBE models …

Improved Sars-Cov-2 Sequencing Surveillance Allows The Identification Of New Variants And Signatures In Infected Patients, Antonio Grimaldi, Francesco Panariello, Patrizia Annunziata, Teresa Giuliano, Michela Daniele, Biancamaria Pierri, Chiara Colantuono, Marcello Salvi, Valentina Bouché, Anna Manfredi, Maria Concetta Cuomo, Denise Di Concilio, Claudia Tiberio, Mariano Fiorenza, Giuseppe Portella, Ilaria Cimmino, Antonio Sorrentino, Giovanna Fusco, Maria Rosaria Granata, Pellegrino Cerino, Antonio Limone, Luigi Atripaldi, Andrea Ballabio, Davide Cacchiarelli

Duncan NRI Faculty and Staff Publications

Background: Genomic surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the only approach to rapidly monitor and tackle emerging variants of concern (VOC) of the COVID-19 pandemic. Such scrutiny is crucial to limit the spread of VOC that might escape the immune protection conferred by vaccination strategies or previous virus exposure. It is also becoming clear now that efficient genomic surveillance would require monitoring of the host gene expression to identify prognostic biomarkers of treatment efficacy and disease progression. Here we propose an integrative workflow to both generate thousands of SARS-CoV-2 genome sequences per week and analyze host …

A Large-Scale Genome-Wide Gene-Gene Interaction Study Of Lung Cancer Susceptibility In Europeans With A Trans-Ethnic Validation In Asians, Ruyang Zhang, Sipeng Shen, Yongyue Wei, Ying Zhu, Yi Li, Jiajin Chen, Jinxing Guan, Zoucheng Pan, Yuzhuo Wang, Meng Zhu, Junxing Xie, Xiangjun Xiao, Dakai Zhu, Yafang Li, Demetrios Albanes, Maria Teresa Landi, Neil E Caporaso, Stephen Lam, Adonina Tardon, Chu Chen, Stig E Bojesen, Mattias Johansson, Angela Risch, Heike Bickeböller, H-Erich Wichmann, Gadi Rennert, Susanne Arnold, Paul Brennan, James D Mckay, John K Field, Sanjay S Shete, Loic Le Marchand, Geoffrey Liu, Angeline S Andrew, Lambertus A Kiemeney, Shan Zienolddiny-Narui, Annelie Behndig, Mikael Johansson, Angela Cox, Philip Lazarus, Matthew B Schabath, Melinda C Aldrich, Juncheng Dai, Hongxia Ma, Yang Zhao, Zhibin Hu, Rayjean J Hung, Christopher I Amos, Hongbing Shen, Feng Chen, David C Christiani

Faculty, Staff and Students Publications

INTRODUCTION: Although genome-wide association studies have been conducted to investigate genetic variation of lung tumorigenesis, little is known about gene-gene (G × G) interactions that may influence the risk of non-small cell lung cancer (NSCLC).

METHODS: Leveraging a total of 445,221 European-descent participants from the International Lung Cancer Consortium OncoArray project, Transdisciplinary Research in Cancer of the Lung and UK Biobank, we performed a large-scale genome-wide G × G interaction study on European NSCLC risk by a series of analyses. First, we used BiForce to evaluate and rank more than 58 billion G × G interactions from 340,958 single-nucleotide polymorphisms …

Assessing The Practicality Of Using A Single Knowledge-Based Planning Model For Multiple Linac Vendors, Raphael J Douglas, Adenike Olanrewaju, Lifei Zhang, Beth M Beadle, Laurence E Court

Faculty, Staff and Student Publications

Purpose: Knowledge-based planning (KBP) has been shown to be an effective tool in quality control for intensity-modulated radiation therapy treatment planning and generating high-quality plans. Previous studies have evaluated its ability to create consistent plans across institutions and between planners within the same institution as well as its use as teaching tool for inexperienced planners. This study evaluates whether planning quality is consistent when using a KBP model to plan across different treatment machines.

Materials and methods: This study used a RapidPlan model (Varian Medical Systems) provided by the vendor, to which we added additional planning objectives, maximum dose limits, …

Drug-Target Network Study Reveals The Core Target-Protein Interactions Of Various Covid-19 Treatments, Yulin Dai, Hui Yu, Qiheng Yan, Bingrui Li, Andi Liu, Wendao Liu, Xiaoqian Jiang, Yejin Kim, Yan Guo, Zhongming Zhao

Faculty, Staff and Student Publications

The coronavirus disease 2019 (COVID-19) pandemic has caused a dramatic loss of human life and devastated the worldwide economy. Numerous efforts have been made to mitigate COVID-19 symptoms and reduce the death rate. We conducted literature mining of more than 250 thousand published works and curated the 174 most widely used COVID-19 medications. Overlaid with the human protein-protein interaction (PPI) network, we used Steiner tree analysis to extract a core subnetwork that grew from the pharmacological targets of ten credible drugs ascertained by the CTD database. The resultant core subnetwork consisted of 34 interconnected genes, which were associated with 36 …

Promoting Cancer Health Equity: A Qualitative Study Of Mentee And Mentor Perspectives Of A Training Program For Underrepresented Scholars In Cancer Health Disparities, Anastasia Rogova, Isabel Martinez Leal, Maggie Britton, Shine Chang, Kamisha H Escoto, Kayce D Solari Williams, Crystal Roberson, Lorna H Mcneill, Lorraine R Reitzel

Faculty, Staff and Student Publications

Racial and ethnic minorities, and women, experience stark disparities in cancer risk behaviors and mortality rates, yet often remain underrepresented in scientific research positions. We conducted an exploratory, qualitative study to examine the value of mentored research experience as part of an NCI-funded research training program designed to increase the representation of minority and women scientists in cancer disparities research. Using individual interviews, we explored 16 mentees' and 7 mentors' program experiences and perspectives to identify the most effective strategies to build strong mentoring relationships that could ultimately contribute to increased representation in health disparities research. Two expert analysts employed …

Predictive Performance Of Different Ntcp Techniques For Radiation-Induced Esophagitis In Nsclc Patients Receiving Proton Radiotherapy, Mei Chen, Zeming Wang, Shengpeng Jiang, Jian Sun, Li Wang, Narayan Sahoo, G Brandon Gunn, Steven J Frank, Cheng Xu, Jiayi Chen, Quynh-Nhu Nguyen, Joe Y Chang, Zhongxing Liao, X Ronald Zhu, Xiaodong Zhang

Faculty, Staff and Student Publications

This study aimed to compare the predictive performance of different modeling methods in developing normal tissue complication probability (NTCP) models for predicting radiation-induced esophagitis (RE) in non-small cell lung cancer (NSCLC) patients receiving proton radiotherapy. The dataset was composed of 328 NSCLC patients receiving passive-scattering proton therapy and 41.6% of the patients experienced ≥ grade 2 RE. Five modeling methods were used to build NTCP models: standard Lyman-Kutcher-Burman (sLKB), generalized LKB (gLKB), multivariable logistic regression using two variable selection procedures-stepwise forward selection (Stepwise-MLR), and least absolute shrinkage and selection operator (LASSO-MLR), and support vector machines (SVM). Predictive performance was internally …

A Roadmap To Clinical Trials For Flash, Paige A Taylor, Jean M Moran, David A Jaffray, Jeffrey C Buchsbaum

Faculty, Staff and Student Publications

While FLASH radiation therapy is inspiring enthusiasm to transform the field, it is neither new nor well understood with respect to the radiobiological mechanisms. As FLASH clinical trials are designed, it will be important to ensure we can deliver dose consistently and safely to every patient. Much like hyperthermia and proton therapy, FLASH is a promising new technology that will be complex to implement in the clinic and similarly will require customized credentialing for multi-institutional clinical trials. There is no doubt that FLASH seems promising, but many technologies that we take for granted in conventional radiation oncology, such as rigorous …

Knowledge-Based Planning For The Radiation Therapy Treatment Plan Quality Assurance For Patients With Head And Neck Cancer, Wenhua Cao, Mary Gronberg, Adenike Olanrewaju, Thomas Whitaker, Karen Hoffman, Carlos Cardenas, Adam Garden, Heath Skinner, Beth Beadle, Laurence Court

Faculty, Staff and Student Publications

This study aimed to investigate the feasibility of using a knowledge-based planning technique to detect poor quality VMAT plans for patients with head and neck cancer. We created two dose-volume histogram (DVH) prediction models using a commercial knowledge-based planning system (RapidPlan, Varian Medical Systems, Palo Alto, CA) from plans generated by manual planning (MP) and automated planning (AP) approaches. DVHs were predicted for evaluation cohort 1 (EC1) of 25 patients and compared with achieved DVHs of MP and AP plans to evaluate prediction accuracy. Additionally, we predicted DVHs for evaluation cohort 2 (EC2) of 25 patients for which we intentionally …

Utility Of The Motivation To Change Lifestyle And Health Behaviors For Dementia Risk Reduction Scale (Mclhb-Drr) Based On A North American Sample, Angelina E. Witbeck

Dissertations

As the population ages, the prevalence rates of dementia continue to increase. Without a cure or promising treatment for dementia, the best course of lowering the prevalence rates of dementia is through preventative measures. Through an electronic survey, the study utilized the MCLHB-DRR scale to determine whether (1) gender, age, educational background, and socioeconomic status will impact the motivational factors to change lifestyle and health behaviors to reduce the risk of developing dementia and (2) direct experiences with individuals that have a dementia diagnosis are likely to impact one's motivational factors to change lifestyle and health behaviors to reduce the …

Platelets Increase The Expression Of Pd-L1 In Ovarian Cancer, Min Soon Cho, Hani Lee, Ricardo Gonzalez-Delgado, Dan Li, Tomoyuki Sasano, Wendolyn Carlos-Alcalde, Qing Ma, Jinsong Liu, Anil K Sood, Vahid Afshar-Kharghan

Faculty, Staff and Student Publications

The interactions between platelets and cancer cells activate platelets and enhance tumor growth. Platelets increase proliferation and epithelial-mesenchymal transition in cancer cells, inhibit anoikis, enhance the extravasation of cancer cells, and protect circulating tumor cells against natural killer cells. Here, we have identified another mechanism by which platelets dampen the immune attack on cancer cells. We found that platelets can blunt the antitumor immune response by increasing the expression of inhibitory immune checkpoint (PD-L1) on ovarian cancer cells in vitro and in vivo. Platelets increased PD-L1 in cancer cells via contact-dependent (through NF-κB signaling) and contact-independent (through TFGβR1/Smad signaling) pathways. …