Medical Genetics Commons^™

Lower Fetal Fraction In Clinical Cell-Free Dna (Cfdna) Screening Results Is Associated With Increased Risk Of Hypertensive Disorders Of Pregnancy, Deeksha Madala, Mohamad Ali Maktabi, Riwa Sabbagh, Hadi Erfani, Andrea Moon, Ignatia B Van Den Veyver

Faculty, Staff and Students Publications

OBJECTIVE: To evaluate if fetal fraction (FF) reported on cell-free DNA (cfDNA) screening is a marker for adverse obstetric outcomes.

METHODS: We retrospectively reviewed medical records from a cohort of women with singleton pregnancies who had cfDNA screening. We evaluated if reported FF could predict the following pregnancy complications: hypertensive disorders of pregnancy (HDP), fetal growth restriction, preterm delivery, gestational diabetes mellitus, or a composite maternal morbidity, defined as the presence of at least one of these outcomes.

RESULTS: Receiver operating curve analysis was performed on FF from 534 women to define the FF that differentiated a low FF group …

Recommendations For Whole Genome Sequencing In Diagnostics For Rare Diseases, Erika Souche, Sergi Beltran, Erwin Brosens, John W Belmont, Magdalena Fossum, Olaf Riess, Christian Gilissen, Amin Ardeshirdavani, Gunnar Houge, Marielle Van Gijn, Jill Clayton-Smith, Matthis Synofzik, Nicole De Leeuw, Zandra C Deans, Yasemin Dincer, Sebastian H Eck, Saskia Van Der Crabben, Meena Balasubramanian, Holm Graessner, Marc Sturm, Helen Firth, Alessandra Ferlini, Rima Nabbout, Elfride De Baere, Thomas Liehr, Milan Macek, Gert Matthijs, Hans Scheffer, Peter Bauer, Helger G Yntema, Marjan M Weiss

Center for Medical Ethics and Health Policy Staff Publications

In 2016, guidelines for diagnostic Next Generation Sequencing (NGS) have been published by EuroGentest in order to assist laboratories in the implementation and accreditation of NGS in a diagnostic setting. These guidelines mainly focused on Whole Exome Sequencing (WES) and targeted (gene panels) sequencing detecting small germline variants (Single Nucleotide Variants (SNVs) and insertions/deletions (indels)). Since then, Whole Genome Sequencing (WGS) has been increasingly introduced in the diagnosis of rare diseases as WGS allows the simultaneous detection of SNVs, Structural Variants (SVs) and other types of variants such as repeat expansions. The use of WGS in diagnostics warrants the re-evaluation …

Association Of Methylenetetrahydrofolate Reductase Rs1801133 Genetic Variants With Type 2 Diabetes Mellitus And Diabetic Nephropathy, Aysegul Bayramoglu, Gokhan Bayramoglu, Halil Ibrahım Guler, Nezaket Coban, Mustafa Çagatay Korkmaz

Makara Journal of Health Research

Background: Type 2 diabetes mellitus (T2DM) is a complex metabolic disease with a genetic predisposition. Methylenetetrahydrofolatereductase (MTHFR) gene is one of the candidate genes associated with T2DM and diabetic nephropathy (DN). This research was carried out to determine the frequency of the C677T polymorphism (rs1801133) of the MTHFR gene and examine the role of rs1801133 polymorphism in T2DM and DN development.

Methods: DNA was obtained from peripheral blood samples (273 samples) using a DNA isolation kit. MTHFR rs1801133 polymorphism was determined using polymerase chain reaction (PCR), restriction fragment length polymorphism (RFLP), and electrophoresis. PCR products were cut by …

Changes In Apparent Diffusion Coefficient (Adc) In Serial Weekly Mri During Radiotherapy In Patients With Head And Neck Cancer: Results From The Predict-Hn Study, Sweet Ping Ng, Carlos E Cardenas, Houda Bahig, Baher Elgohari, Jihong Wang, Jason M Johnson, Amy C Moreno, Shalin J Shah, Adam S Garden, Jack Phan, G Brandon Gunn, Steven J Frank, Yao Ding, Lumine Na, Ying Yuan, Diana Urbauer, Abdallah S R Mohamed, David I Rosenthal, William H Morrison, Michael P Macmanus, Clifton D Fuller

Faculty, Staff and Student Publications

Background: The PREDICT-HN study aimed to systematically assess the kinetics of imaging MR biomarkers during head and neck radiotherapy.

Methods: Patients with intact squamous cell carcinoma of the head and neck were enrolled. Pre-, during, and post-treatment MRI were obtained. Serial GTV and ADC measurements were recorded. The correlation between each feature and the GTV was calculated using Spearman’s correlation coefficient. The linear mixed model was used to evaluate the change in GTV over time.

Results: A total of 41 patients completed the study. The majority (76%) had oropharyngeal cancer. A total of 36 patients had intact primary tumours that …

Endophenotype Effect Sizes Support Variant Pathogenicity In Monogenic Disease Susceptibility Genes, Jennifer L Halford, Valerie N Morrill, Seung Hoan Choi, Sean J Jurgens, Giorgio Melloni, Nicholas A Marston, Lu-Chen Weng, Victor Nauffal, Amelia W Hall, Sophia Gunn, Christina A Austin-Tse, James P Pirruccello, Shaan Khurshid, Heidi L Rehm, Emelia J Benjamin, Eric Boerwinkle, Jennifer A Brody, Adolfo Correa, Brandon K Fornwalt, Namrata Gupta, Christopher M Haggerty, Stephanie Harris, Susan R Heckbert, Charles C Hong, Charles Kooperberg, Henry J Lin, Ruth J F Loos, Braxton D Mitchell, Alanna C Morrison, Wendy Post, Bruce M Psaty, Susan Redline, Kenneth M Rice, Stephen S Rich, Jerome I Rotter, Peter F Schnatz, Elsayed Z Soliman, Nona Sotoodehnia, Eugene K Wong, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Marc S Sabatine, Christian T Ruff, Kathryn L Lunetta, Patrick T Ellinor, Steven A Lubitz

Faculty, Staff and Student Publications

Accurate and efficient classification of variant pathogenicity is critical for research and clinical care. Using data from three large studies, we demonstrate that population-based associations between rare variants and quantitative endophenotypes for three monogenic diseases (low-density-lipoprotein cholesterol for familial hypercholesterolemia, electrocardiographic QTc interval for long QT syndrome, and glycosylated hemoglobin for maturity-onset diabetes of the young) provide evidence for variant pathogenicity. Effect sizes are associated with pathogenic ClinVar assertions (P < 0.001 for each trait) and discriminate pathogenic from non-pathogenic variants (area under the curve 0.82-0.84 across endophenotypes). An effect size threshold of ≥ 0.5 times the endophenotype standard deviation nominates up to 35% of rare variants of uncertain significance or not in ClinVar in disease susceptibility genes with pathogenic potential. We propose that variant associations with quantitative endophenotypes for monogenic diseases can provide evidence supporting pathogenicity.

Contributions Of Circulating Micrornas For Early Detection Of Lung Cancer, Jody Vykoukal, Johannes F Fahrmann, Nikul Patel, Masayoshi Shimizu, Edwin J Ostrin, Jennifer B Dennison, Cristina Ivan, Gary E Goodman, Mark D Thornquist, Matt J Barnett, Ziding Feng, George A Calin, Samir M Hanash

Faculty, Staff and Student Publications

There is unmet need to develop circulating biomarkers that would enable earlier interception of lung cancer when more effective treatment options are available. Here, a set of 30 miRNAs, selected from a review of the published literature were assessed for their predictive performance in identifying lung cancer cases in the pre-diagnostic setting. The 30 miRNAs were assayed using sera collected from 102 individuals diagnosed with lung cancer within one year following blood draw and 212 controls matched for age, sex, and smoking status. The additive performance of top-performing miRNA candidates in combination with a previously validated four-protein marker panel (4MP) …

Molecular Analysis Of Short- Versus Long-Term Survivors Of High-Grade Serous Ovarian Carcinoma, Elaine Stur, Emine Bayraktar, Graziela Zibetti Dal Molin, Sherry Y Wu, Lingegowda S Mangala, Hui Yao, Ying Wang, Prahlad T Ram, Sara Corvigno, Hu Chen, Han Liang, Shelley S Tworoger, Douglas A Levine, Susan K Lutgendorf, Jinsong Liu, Kathleen N Moore, Keith A Baggerly, Beth Y Karlan, Anil K Sood

Faculty, Staff and Student Publications

Despite having similar histologic features, patients with high-grade serous ovarian carcinoma (HGSC) often experience highly variable outcomes. The underlying determinants for long-term survival (LTS, ≥10 years) versus short-term survival (STS, < 3 years) are largely unknown. The present study sought to identify molecular predictors of LTS for women with HGSC. A cohort of 24 frozen HGSC samples was collected (12 LTS and 12 STS) and analyzed at DNA, RNA, and protein levels. OVCAR5 and OVCAR8 cell lines were used for in vitro validation studies. For in vivo studies, we injected OVCAR8 cells into the peritoneal cavity of female athymic nude mice. From RNAseq analysis, 11 genes were found to be differentially expressed between the STS and LTS groups (fold change > 2; false discovery rate < 0.01). In the subsequent validation cohort, transmembrane protein 62 (TMEM62) was found to be related to LTS. CIBERSORT analysis showed that T cells (follicular helper) were found at higher levels in tumors from LTS than STS groups. In vitro data using OVCAR5 and OVCAR8 cells showed decreased proliferation with TMEM62 overexpression and positive correlation with a longevity-regulating pathway (KEGG HSA04213) at the RNA level. In vivo analysis using the OVCAR8-TMEM62-TetON model showed decreased tumor burden in mice with high- vs. low-expressing TMEM62 tumors. Our results demonstrate that restoring TMEM62 may be a novel approach for treatment of HGSC. These findings may have implications for biomarker and intervention strategies to help improve patient outcomes

Evaluation Of Vicinity-Based Hidden Markov Models For Genotype Imputation, Su Wang, Miran Kim, Xiaoqian Jiang, Arif Ozgun Harmanci

Faculty, Staff and Student Publications

BACKGROUND: The decreasing cost of DNA sequencing has led to a great increase in our knowledge about genetic variation. While population-scale projects bring important insight into genotype-phenotype relationships, the cost of performing whole-genome sequencing on large samples is still prohibitive. In-silico genotype imputation coupled with genotyping-by-arrays is a cost-effective and accurate alternative for genotyping of common and uncommon variants. Imputation methods compare the genotypes of the typed variants with the large population-specific reference panels and estimate the genotypes of untyped variants by making use of the linkage disequilibrium patterns. Most accurate imputation methods are based on the Li-Stephens hidden Markov …

Pancancer Analysis Of A Potential Gene Mutation Model In The Prediction Of Immunotherapy Outcomes, Lishan Yu, Caifeng Gong

Faculty, Staff and Student Publications

Background: Immune checkpoint blockade (ICB) represents a promising treatment for cancer, but predictive biomarkers are needed. We aimed to develop a cost-effective signature to predict immunotherapy benefits across cancers.

Methods: We proposed a study framework to construct the signature. Specifically, we built a multivariate Cox proportional hazards regression model with LASSO using 80% of an ICB-treated cohort (n = 1661) from MSKCC. The desired signature named SIGP was the risk score of the model and was validated in the remaining 20% of patients and an external ICB-treated cohort (n = 249) from DFCI.

Results: SIGP was based on …

Cancer-Driving Mutations Are Enriched In Genic Regions Intolerant To Germline Variation, Dimitrios Vitsios, Ryan S Dhindsa, Dorota Matelska, Jonathan Mitchell, Xuequing Zou, Joshua Armenia, Fengyuan Hu, Quanli Wang, Ben Sidders, Andrew R Harper, Slavé Petrovski

Duncan NRI Faculty and Staff Publications

Large reference datasets of protein-coding variation in human populations have allowed us to determine which genes and genic subregions are intolerant to germline genetic variation. There is also a growing number of genes implicated in severe Mendelian diseases that overlap with genes implicated in cancer. We hypothesized that cancer-driving mutations might be enriched in genic subregions that are depleted of germline variation relative to somatic variation. We introduce a new metric, OncMTR (oncology missense tolerance ratio), which uses 125,748 exomes in the Genome Aggregation Database (gnomAD) to identify these genic subregions. We demonstrate that OncMTR can significantly predict driver mutations …

Klf5 Governs Sphingolipid Metabolism And Barrier Function Of The Skin, Ying Lyu, Yinglu Guan, Lisa Deliu, Ericka Humphrey, Joanna K Frontera, Youn Joo Yang, Daniel Zamler, Kun Hee Kim, Vakul Mohanty, Kevin Jin, Vakul Mohanty, Virginia Liu, Jinzhuang Dou, Lucas J Veillon, Shwetha V Kumar, Philip L Lorenzi, Yang Chen, Kathleen M Mcandrews, Sergei Grivennikov, Xingzhi Song, Jianhua Zhang, Yuanxin Xi, Jing Wang, Ken Chen, Priyadharsini Nagarajan, Yejing Ge

Faculty, Staff and Student Publications

Stem cells are fundamental units of tissue remodeling whose functions are dictated by lineage-specific transcription factors. Home to epidermal stem cells and their upward-stratifying progenies, skin relies on its secretory functions to form the outermost protective barrier, of which a transcriptional orchestrator has been elusive. KLF5 is a Krüppel-like transcription factor broadly involved in development and regeneration whose lineage specificity, if any, remains unclear. Here we report KLF5 specifically marks the epidermis, and its deletion leads to skin barrier dysfunction in vivo. Lipid envelopes and secretory lamellar bodies are defective in KLF5-deficient skin, accompanied by preferential loss of complex sphingolipids. …

Terrestrial Health Applications Of Visual Assessment Technology And Machine Learning In Spaceflight Associated Neuro-Ocular Syndrome, Joshua Ong, Alireza Tavakkoli, Nasif Zaman, Sharif Amit Kamran, Ethan Waisberg, Nikhil Gautam, Andrew G Lee

Faculty, Staff and Student Publications

The neuro-ocular effects of long-duration spaceflight have been termed Spaceflight Associated Neuro-Ocular Syndrome (SANS) and are a potential challenge for future, human space exploration. The underlying pathogenesis of SANS remains ill-defined, but several emerging translational applications of terrestrial head-mounted, visual assessment technology and machine learning frameworks are being studied for potential use in SANS. To develop such technology requires close consideration of the spaceflight environment which is limited in medical resources and imaging modalities. This austere environment necessitates the utilization of low mass, low footprint technology to build a visual assessment system that is comprehensive, accessible, and efficient. In this …

The Microrna Processor Drosha Is A Candidate Gene For A Severe Progressive Neurological Disorder, Scott Barish, Mumine Senturk, Kelly Schoch, Amanda L Minogue, Diego Lopergolo, Chiara Fallerini, Jake Harland, Jacob H Seemann, Nicholas Stong, Peter G Kranz, Sujay Kansagra, Mohamad A Mikati, Joan Jasien, Mays El-Dairi, Paolo Galluzzi, Francesca Ariani, Alessandra Renieri, Francesca Mari, Michael F Wangler, Swathi Arur, Yong-Hui Jiang, Shinya Yamamoto, Vandana Shashi, Hugo J Bellen

Faculty, Staff and Students Publications

DROSHA encodes a ribonuclease that is a subunit of the Microprocessor complex and is involved in the first step of microRNA (miRNA) biogenesis. To date, DROSHA has not yet been associated with a Mendelian disease. Here, we describe two individuals with profound intellectual disability, epilepsy, white matter atrophy, microcephaly and dysmorphic features, who carry damaging de novo heterozygous variants in DROSHA. DROSHA is constrained for missense variants and moderately intolerant to loss-of-function (o/e = 0.24). The loss of the fruit fly ortholog drosha causes developmental arrest and death in third instar larvae, a severe reduction in brain size and loss …

The Genetic Contribution To Solving The Cocktail-Party Problem, Samuel R. Mathias, Emma Knowles, Josephine Mollon, Amanda Rodrigue, Mary K. Woolsey, Rene L. Olvera, Juan M. Peralta, Satish Kumar, Harald H. H. Goring, Ravi Duggirala, Joanne E. Curran, John Blangero, David C. Glahn

School of Medicine Publications

Communicating in everyday situations requires solving the cocktail-party problem, or segregating the acoustic mixture into its constituent sounds and attending to those of most interest. Humans show dramatic variation in this ability, leading some to experience real-world problems irrespective of whether they meet criteria for clinical hearing loss. Here, we estimated the genetic contribution to cocktail-party listening by measuring speech-reception thresholds (SRTs) in 425 people from large families and ranging in age from 18 to 91 years. Roughly half the variance of SRTs was explained by genes (h 2 = 0.567). The genetic correlation between SRTs and hearing thresholds …

Novel Dominant And Recessive Variants In Human Robo1 Cause Distinct Neurodevelopmental Defects Through Different Mechanisms, Yan Huang, Mengqi Ma, Xiao Mao, Davut Pehlivan, Oguz Kanca, Feride Un-Candan, Li Shu, Gulsen Akay, Tadahiro Mitani, Shenzhao Lu, Sukru Candan, Hua Wang, Bo Xiao, James R Lupski, Hugo J Bellen

Duncan NRI Faculty and Staff Publications

The Roundabout (Robo) receptors, located on growth cones of neurons, induce axon repulsion in response to the extracellular ligand Slit. The Robo family of proteins controls midline crossing of commissural neurons during development in flies. Mono- and bi-allelic variants in human ROBO1 (HGNC: 10249) have been associated with incomplete penetrance and variable expressivity for a breath of phenotypes, including neurodevelopmental defects such as strabismus, pituitary defects, intellectual impairment, as well as defects in heart and kidney. Here, we report two novel ROBO1 variants associated with very distinct phenotypes. A homozygous missense p.S1522L variant in three affected siblings with nystagmus; and …

Two Interaction Surfaces Between Xpa And Rpa Organize The Preincision Complex In Nucleotide Excision Repair, Mihyun Kim, Hyun-Suk Kim, Areetha D'Souza, Kaitlyn Gallagher, Eunwoo Jeong, Agnieszka Topolska-Wós, Kateryna Ogorodnik Le Meur, Chi-Lin Tsai, Miaw-Sheue Tsai, Minyong Kee, John A Tainer, Jung-Eun Yeo, Walter J Chazin, Orlando D Schärer

Faculty, Staff and Student Publications

The xeroderma pigmentosum protein A (XPA) and replication protein A (RPA) proteins fulfill essential roles in the assembly of the preincision complex in the nucleotide excision repair (NER) pathway. We have previously characterized the two interaction sites, one between the XPA N-terminal (XPA-N) disordered domain and the RPA32 C-terminal domain (RPA32C), and the other with the XPA DNA binding domain (DBD) and the RPA70AB DBDs. Here, we show that XPA mutations that inhibit the physical interaction in either site reduce NER activity in biochemical and cellular systems. Combining mutations in the two sites leads to an additive inhibition of NER, …

Grk3 Is A Poor Prognosticator And Serves As A Therapeutic Target In Advanced Gastric Adenocarcinoma, Yuan Li, Yibo Fan, Jinbang Xu, Longfei Huo, Ailing W Scott, Jiankang Jin, Boxuan Yang, Shan Shao, Lang Ma, Ying Wang, Xiaodan Yao, Melissa Pool Pizzi, Matheus Sewastjanow Da Silva, Guoliang Zhang, Lijuan Zhuo, Eun Jeong Cho, Kevin N Dalby, Namita D Shanbhag, Zhenning Wang, Wenliang Li, Shumei Song, Jaffer A Ajani

Faculty, Staff and Student Publications

Background: G protein-coupled receptor (GPCR) is the most targeted protein family by the FDA-approved drugs. GPCR-kinase 3 (GRK3) is critical for GPCR signaling. Our genomic analysis showed that GRK3 expression correlated with poor prognosis of gastric adenocarcinoma (GAC) patients. However, GRK3's functions and clinical utility in GAC progression and metastases are unknown.

Methods: We studied GRK3 expression in normal, primary, and metastatic GAC tissues. We identified a novel GRK3 inhibitor, LD2, through a chemical-library screen. Through genetic and pharmacologic modulations of GRK3, a series of functional and molecular studies were performed in vitro and in vivo. Impact of GRK3 on …

Genome-Wide Interaction Analysis Identified Low-Frequency Variants With Sex Disparity In Lung Cancer Risk, Yafang Li, Xiangjun Xiao, Jianrong Li, Jinyoung Byun, Chao Cheng, Yohan Bossé, James Mckay, Demetrios Albanes, Stephen Lam, Adonina Tardon, Chu Chen, Stig E Bojesen, Maria T Landi, Mattias Johansson, Angela Risch, Heike Bickeböller, H-Erich Wichmann, David C Christiani, Gad Rennert, Susanne Arnold, Gary Goodman, John K Field, Michael P A Davies, Sanjay S Shete, Loic Le Marchand, Olle Melander, Hans Brunnström, Geoffrey Liu, Rayjean J Hung, Angeline S Andrew, Lambertus A Kiemeney, Hongbing Shen, Ryan Sun, Shan Zienolddiny, Kjell Grankvist, Mikael Johansson, Neil Caporaso, Dawn M Teare, Yun-Chul Hong, Philip Lazarus, Matthew B Schabath, Melinda C Aldrich, Ann G Schwartz, Ivan Gorlov, Kristen Purrington, Ping Yang, Yanhong Liu, Younghun Han, Joan E Bailey-Wilson, Susan M Pinney, Diptasri Mandal, James C Willey, Colette Gaba, Paul Brennan, Christopher I Amos, Integral-Ilcco Lung Cancer Consortium

Faculty, Staff and Students Publications

Differences by sex in lung cancer incidence and mortality have been reported which cannot be fully explained by sex differences in smoking behavior, implying existence of genetic and molecular basis for sex disparity in lung cancer development. However, the information about sex dimorphism in lung cancer risk is quite limited despite the great success in lung cancer association studies. By adopting a stringent two-stage analysis strategy, we performed a genome-wide gene-sex interaction analysis using genotypes from a lung cancer cohort including ~ 47 000 individuals with European ancestry. Three low-frequency variants (minor allele frequency < 0.05), rs17662871 [odds ratio (OR) = 0.71, P = 4.29×10-8); rs79942605 (OR = 2.17, P = 2.81×10-8) and rs208908 (OR = 0.70, P = 4.54×10-8) were identified with different risk effect of lung cancer between men and women. Further expression quantitative trait loci and functional annotation analysis suggested rs208908 affects lung cancer risk through differential regulation of Coxsackie virus and adenovirus receptor gene expression in lung tissues between men and women. Our study is one of the first studies to provide novel insights about the genetic and molecular basis for sex disparity in lung cancer development.

Non-Linear Machine Learning Models Incorporating Snps And Prs Improve Polygenic Prediction In Diverse Human Populations, Michael Elgart, Genevieve Lyons, Santiago Romero-Brufau, Nuzulul Kurniansyah, Jennifer A Brody, Xiuqing Guo, Henry J Lin, Laura Raffield, Yan Gao, Han Chen, Paul De Vries, Donald M Lloyd-Jones, Leslie A Lange, Gina M Peloso, Myriam Fornage, Jerome I Rotter, Stephen S Rich, Alanna C Morrison, Bruce M Psaty, Daniel Levy, Susan Redline, Nhlbi’S Trans-Omics In Precision Medicine (Topmed) Consortium, Tamar Sofer

Faculty, Staff and Student Publications

Polygenic risk scores (PRS) are commonly used to quantify the inherited susceptibility for a trait, yet they fail to account for non-linear and interaction effects between single nucleotide polymorphisms (SNPs). We address this via a machine learning approach, validated in nine complex phenotypes in a multi-ancestry population. We use an ensemble method of SNP selection followed by gradient boosted trees (XGBoost) to allow for non-linearities and interaction effects. We compare our results to the standard, linear PRS model developed using PRSice, LDpred2, and lassosum2. Combining a PRS as a feature in an XGBoost model results in a relative increase in …

Lysyl Hydroxylase 2 Mediated Collagen Post-Translational Modifications And Functional Outcomes, Masahiko Terajima, Yuki Taga, Tomoyuki Nakamura, Hou-Fu Guo, Yukako Kayashima, Nobuyo Maeda-Smithies, Kshitij Parag-Sharma, Jeong Seon Kim, Antonio L Amelio, Kazunori Mizuno, Jonathan M Kurie, Mitsuo Yamauchi

Faculty, Staff and Student Publications

Lysyl hydroxylase 2 (LH2) is a member of LH family that catalyzes the hydroxylation of lysine (Lys) residues on collagen, and this particular isozyme has been implicated in various diseases. While its function as a telopeptidyl LH is generally accepted, several fundamental questions remain unanswered: 1. Does LH2 catalyze the hydroxylation of all telopeptidyl Lys residues of collagen? 2. Is LH2 involved in the helical Lys hydroxylation? 3. What are the functional consequences when LH2 is completely absent? To answer these questions, we generated LH2-null MC3T3 cells (LH2KO), and extensively characterized the type I collagen phenotypes in comparison with controls. …

Regulation Of Drosophila Oviduct Muscle Contractility By Octopamine, Sonali A Deshpande, Ethan W Rohrbach, James D Asuncion, Jenna Harrigan, Aditya Eamani, Ellery H Schlingmann, Daniel J Suto, Pei-Tseng Lee, Felix E Schweizer, Hugo J Bellen, David E Krantz

Duncan NRI Faculty and Staff Publications

Octopamine is essential for egg-laying in

Phase 2 Of Extracellular Rna Communication Consortium Charts Next-Generation Approaches For Extracellular Rna Research, Bogdan Mateescu, Jennifer C Jones, Roger P Alexander, Eric Alsop, Ji Yeong An, Mohammad Asghari, Alex Boomgarden, Laura Bouchareychas, Alfonso Cayota, Hsueh-Chia Chang, Al Charest, Daniel T Chiu, Robert J Coffey, Saumya Das, Peter De Hoff, Andrew Demello, Crislyn D'Souza-Schorey, David Elashoff, Kiarash R Eliato, Jeffrey L Franklin, David J Galas, Mark B Gerstein, Ionita H Ghiran, David B Go, Stephen Gould, Tristan R Grogan, James N Higginbotham, Florian Hladik, Tony Jun Huang, Xiaoye Huo, Elizabeth Hutchins, Dennis K Jeppesen, Tijana Jovanovic-Talisman, Betty Y S Kim, Sung Kim, Kyoung-Mee Kim, Yong Kim, Robert R Kitchen, Vaughan Knouse, Emily L Laplante, Carlito B Lebrilla, L James Lee, Kathleen M Lennon, Guoping Li, Feng Li, Tieyi Li, Tao Liu, Zirui Liu, Adam L Maddox, Kyle Mccarthy, Bessie Meechoovet, Nalin Maniya, Yingchao Meng, Aleksandar Milosavljevic, Byoung-Hoon Min, Amber Morey, Martin Ng, John Nolan, Getulio P De Oliveira Junior, Michael E Paulaitis, Tuan Anh Phu, Robert L Raffai, Eduardo Reátegui, Matthew E Roth, David A Routenberg, Joel Rozowsky, Joseph Rufo, Satyajyoti Senapati, Sigal Shachar, Himani Sharma, Anil K Sood, Stavros Stavrakis, Alessandra Stürchler, Muneesh Tewari, Juan P Tosar, Alexander K Tucker-Schwartz, Andrey Turchinovich, Nedyalka Valkov, Kendall Van Keuren-Jensen, Kasey C Vickers, Lucia Vojtech, Wyatt N Vreeland, Ceming Wang, Kai Wang, Zeyu Wang, Joshua A Welsh, Kenneth W Witwer, David T W Wong, Jianping Xia, Ya-Hong Xie, Kaichun Yang, Mikołaj P Zaborowski, Chenguang Zhang, Qin Zhang, Angela M Zivkovic, Louise C Laurent

Faculty, Staff and Student Publications

The extracellular RNA communication consortium (ERCC) is an NIH-funded program aiming to promote the development of new technologies, resources, and knowledge about exRNAs and their carriers. After Phase 1 (2013-2018), Phase 2 of the program (ERCC2, 2019-2023) aims to fill critical gaps in knowledge and technology to enable rigorous and reproducible methods for separation and characterization of both bulk populations of exRNA carriers and single EVs. ERCC2 investigators are also developing new bioinformatic pipelines to promote data integration through the exRNA atlas database. ERCC2 has established several Working Groups (Resource Sharing, Reagent Development, Data Analysis and Coordination, Technology Development, nomenclature, …

Metabolomics In Pulmonary Medicine: Extracting The Most From Your Data, Stacey N. Reinke, Romanas Chaleckis, Craig E. Wheelock

Research outputs 2022 to 2026

The metabolome enables unprecedented insight into biochemistry, providing an integrated signature of the genome, transcriptome, proteome and exposome. Measurement requires rigorous protocols combined with specialised data analysis to achieve its promise.

A Multi-Institutional Prediction Model To Estimate The Risk Of Recurrence And Mortality After Mastectomy For T1-2n1 Breast Cancer, Sarah M C Sittenfeld, Emily C Zabor, Sarah N Hamilton, Henry M Kuerer, Mahmoud El-Tamer, George E Naoum, Pauline T Truong, Alan Nichol, Benjamin D Smith, Wendy A Woodward, Tracy-Ann Moo, Simon N Powell, Chirag S Shah, Alphonse G Taghian, Ibrahim Abu-Gheida, Rahul D Tendulkar

Faculty, Staff and Student Publications

Background: Post-mastectomy radiation therapy (PMRT) in women with pathologic stage T1-2N1M0 breast cancer is controversial.

Methods: Data from five North American institutions including women undergoing mastectomy without neoadjuvant therapy with pT1-2N1M0 breast cancer treated from 2006 to 2015 were pooled for analysis. Competing-risks regression was performed to identify factors associated with locoregional recurrence (LRR), distant metastasis (DM), overall recurrence (OR), and breast cancer mortality (BCM).

Results: A total of 3532 patients were included for analysis with a median follow-up time among survivors of 6.8 years (interquartile range [IQR], 4.5-9.5 years). The 2154 (61%) patients who received PMRT had significantly more …

Prenatal And Pregnancy Loss Evaluation By Noninvasive Screening And Diagnostic Genetic Testing, Abigail Haggerty

Theses & Dissertations

Noninvasive prenatal testing (NIPT) utilizing cell-free fetal DNA (cffDNA) in the maternal blood is the screening test of choice for physicians today. NIPT depends on the amount of cffDNA in the maternal blood, called the fetal fraction (FF). Researchers are investigating the implications of the FF value in reference to multiple variables in pregnancy outcome, including the risk for aneuploidy and maternal factors that influence the FF.

Diagnostic techniques utilized in patient care include cytogenetics, fluorescence in-situ hybridization (FISH), and microarray. Diagnostic testing is critical to confirm or rule out genetic abnormalities among women with abnormal screening results, …

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 …

Current Challenges In Image-Guided Magnetic Hyperthermia Therapy For Liver Cancer, Anirudh Sharma, Erik Cressman, Anilchandra Attaluri, Dara L Kraitchman, Robert Ivkov

Faculty, Staff and Student Publications

For patients diagnosed with advanced and unresectable hepatocellular carcinoma (HCC), liver transplantation remains the best option to extend life. Challenges with organ supply often preclude liver transplantation, making palliative non-surgical options the default front-line treatments for many patients. Even with imaging guidance, success following treatment remains inconsistent and below expectations, so new approaches are needed. Imaging-guided thermal therapy interventions have emerged as attractive procedures that offer individualized tumor targeting with the potential for the selective targeting of tumor nodules without impairing liver function. Furthermore, imaging-guided thermal therapy with added standard-of-care chemotherapies targeted to the liver tumor can directly reduce the …

A Comprehensive Search Of Non-Canonical Proteins In Non-Small Cell Lung Cancer And Their Impact On The Immune Response, Ehsan Irajizad, Johannes F Fahrmann, James P Long, Jody Vykoukal, Makoto Kobayashi, Michela Capello, Chuan-Yih Yu, Yining Cai, Fu Chung Hsiao, Nikul Patel, Soyoung Park, Qian Peng, Jennifer B Dennison, Taketo Kato, Mei Chee Tai, Ayumu Taguchi, Humam Kadara, Ignacio I Wistuba, Hiroyuki Katayama, Kim-Anh Do, Samir M Hanash, Edwin J Ostrin

Faculty, Staff and Student Publications

There is substantial interest in mining neoantigens for cancer applications. Non-canonical proteins resulting from frameshift mutations have been identified as neoantigens in cancer. We investigated the landscape of non-canonical proteins in non-small cell lung cancer (NSCLC) and their induced immune response in the form of autoantibodies. A database of cryptoproteins was computationally constructed and comprised all alternate open reading frames (altORFs) and ORFs identified in pseudogenes, noncoding RNAs, and untranslated regions of mRNAs that did not align with known canonical proteins. Proteomic profiles of seventeen lung adenocarcinoma (LUAD) cell lines were searched to evaluate the occurrence of cryptoproteins. To assess …

A Genome-Wide Screen Identifies Pdpk1 As A Target To Enhance The Efficacy Of Mek1/2 Inhibitors, Weijia Cai, Nicole A. Wilski, Timothy J. Purwin, Megane Vernon, Manoela Tiago, Andrew E. Aplin

Department of Cancer Biology Faculty Papers

Melanomas frequently harbor activating NRAS mutations. However, limited advance has been made in developing targeted therapy options for NRAS mutant melanoma patients. MEK inhibitors (MEKi) show modest efficacy in the clinic and their actions need to be optimized. In this study, we performed a genome-wide CRISPR-Cas9-based screen and demonstrated that loss of Phosphoinositide-dependent kinase-1 (PDPK1) enhances the efficacy of MEKi. The synergistic effects of PDPK1 loss and MEKi was validated in NRAS mutant melanoma cell lines using pharmacological and molecular approaches. Combined PDPK1 inhibitors (PDPK1i) with MEKi suppressed NRAS mutant xenograft growth and induced gasdermin E-associated pyroptosis. In an immune-competent …

Oncogenic Collagen I Homotrimers From Cancer Cells Bind To Α3Β1 Integrin And Impact Tumor Microbiome And Immunity To Promote Pancreatic Cancer, Yang Chen, Sujuan Yang, Jena Tavormina, Desiree Tampe, Michael Zeisberg, Huamin Wang, Krishnan K Mahadevan, Chang-Jiun Wu, Hikaru Sugimoto, Chia-Chi Chang, Robert R Jenq, Kathleen M Mcandrews, Raghu Kalluri

Faculty, Staff and Student Publications

In contrast to normal type I collagen (Col1) heterotrimer (α1/α2/α1) produced by fibroblasts, pancreatic cancer cells specifically produce unique Col1 homotrimer (α1/α1/α1). Col1 homotrimer results from epigenetic suppression of the Col1a2 gene and promotes oncogenic signaling, cancer cell proliferation, tumor organoid formation, and growth via α3β1 integrin on cancer cells, associated with tumor microbiome enriched in anaerobic Bacteroidales in hypoxic and immunosuppressive tumors. Deletion of Col1 homotrimers increases overall survival of mice with pancreatic ductal adenocarcinoma (PDAC), associated with reprograming of the tumor microbiome with increased microaerophilic Campylobacterales, which can be reversed with broad-spectrum antibiotics. Deletion of Col1 homotrimers enhances …