Life Sciences Commons^™

Population Screening For High-Risk Patient Identification Partnership With Care-Comprehensive Assessment, Risk, And Education., Ora K Gordon, Brad Bott, Nanor Parseghian, Kimberly K Childers, Sandra Brown

Articles, Abstracts, and Reports

No abstract provided.

Multi-Cancer Early Detection Testing (Mced), Ora K Gordon, Brad Bott, Nanor Parseghian, Paul Psychogios, Kimberly K Childers, Sandra Brown

Articles, Abstracts, and Reports

No abstract provided.

Tumor Biology And Immune Infiltration Define Primary Liver Cancer Subsets Linked To Overall Survival After Immunotherapy, Anuradha Budhu, Erica C Pehrsson, Aiwu He, Lipika Goyal, Robin Kate Kelley, Hien Dang, Changqing Xie, Cecilia Monge, Mayank Tandon, Lichun Ma, Mahler Revsine, Laura Kuhlman, Karen Zhang, Islam Baiev, Ryan Lamm, Keyur Patel, David E Kleiner, Stephen M Hewitt, Bao Tran, Jyoti Shetty, Xiaolin Wu, Yongmei Zhao, Tsai-Wei Shen, Sulbha Choudhari, Yuliya Kriga, Kris Ylaya, Andrew C Warner, Elijah F Edmondson, Marshonna Forgues, Tim F Greten, Xin Wei Wang

Kimmel Cancer Center Faculty Papers

Primary liver cancer is a rising cause of cancer deaths in the US. Although immunotherapy with immune checkpoint inhibitors induces a potent response in a subset of patients, response rates vary among individuals. Predicting which patients will respond to immune checkpoint inhibitors is of great interest in the field. In a retrospective arm of the National Cancer Institute Cancers of the Liver: Accelerating Research of Immunotherapy by a Transdisciplinary Network (NCI-CLARITY) study, we use archived formalin-fixed, paraffin-embedded samples to profile the transcriptome and genomic alterations among 86 hepatocellular carcinoma and cholangiocarcinoma patients prior to and following immune checkpoint inhibitor treatment. …

The Large And Small Of It: The Microbiome And Metagenomics, Austin Hopkins, Elaina Gollmar, Jessica Fernandez, Shawn Wolf, Austin Hilverding, Andrew M. Roecker

Pharmacy and Wellness Review

Metagenomics, the analysis of the microbial genome, permits scientists to understand the influences of external sources including diet, metabolism and antibiotics on the human microbiome. Research has revealed the possibility of a core symbiosis between humans and bacteria. The main role of the human microbiome is to aid in digestion, but identified ancillary roles include immunologic homeostasis and infection prevention. Quantifying the composition and variability of the microbiome will help lead to future treatments or preventive strategies against unhealthy change. A variety of methods may be used to define the microbiome, and 16S amplicon sequencing is primarily utilized today. Probiotics …

Factors Impacting Genomic Testing Rates Among Epithelial Ovarian Cancer Patients Across A Large Community-Based Healthcare System, Nicole M. Kretzer, Christopher J. Darus, Nancy Biery, Roshanthi Weerasinghe, Grace Li, Ann Vita, Shwetha Pindikuri, Amy S. Parrish, Charles W Drescher, Fernanda B. Musa

All Podium Presentations

Background: Epithelial ovarian cancer (EOC) accounts for the highest mortality of all gynecological cancers. NCCN guidelines recommend germline and somatic testing for all women with invasive EOC. Despite this recommendation, there is a large diversity in the types of testing patients receive even within a single healthcare system. Reported data of genetic testing for epithelial ovarian cancer (EOC) patients is largely based on patients treated at academic medical centers or patients who participate in clinical trials.

Purpose: This study sought to determine the rates of germline and somatic testing for epithelial ovarian cancer patients and identify factors that impact testing …

Patterns Of Genomic Testing For Epithelial Ovarian Cancer Across A Large Community-Based Health Care Network- A Real World Experience, Nicole M. Kretzer, Fernanda B. Musa, Christopher Darus, Nancy Biery, Roshanthi Weerasinghe, Grace Li, Ann Vita, Shwetha Pindikuri, Amy S. Parrish, Charles W Drescher

All Podium Presentations

Background: NCCN guidelines recommend germline and somatic tumor testing for all women with invasive epithelial ovarian cancer (EOC). Despite this recommendation, testing rates remain low and an optimal strategy to achieve the recommended testing has not been defined.

Purpose: We elected to review the patterns of germline and somatic tumor testing for patients with EOC across a large health care network to identify barriers to testing.

Methods: Clinical, pathologic, demographic and genomic testing (GT) information including involvement of a genetic counselor, specific test(s) ordered, test vendor, test turn-around time, and test results were obtained from the diverse dataset within the …

The Role Of Interspecies Recombination In The Evolution Of Antibiotic-Resistant Pneumococci, Joshua C. D'Aeth, Mark Pg Van Der Linden, Lesley Mcgee, Herminia De Lencastre, Paul Turner, Jae-Hoon Song, Stephanie W. Lo, Rebecca A. Gladstone, Gps Consortium, Sadia Shakoor

Department of Pathology and Laboratory Medicine

Multidrug-resistant Streptococcus pneumoniae emerge through the modification of core genome loci by interspecies homologous recombinations, and acquisition of gene cassettes. Both occurred in the otherwise contrasting histories of the antibiotic-resistant S. pneumoniae lineages PMEN3 and PMEN9. A single PMEN3 clade spread globally, evading vaccine-induced immunity through frequent serotype switching, whereas locally circulating PMEN9 clades independently gained resistance. Both lineages repeatedly integrated Tn916-type and Tn1207.1-type elements, conferring tetracycline and macrolide resistance, respectively, through homologous recombination importing sequences originating in other species. A species-wide dataset found over 100 instances of such interspecific acquisitions of resistance cassettes and flanking …

Impact Of Intratumor Heterogeneity And The Tumor Microenvironment In Shaping Tumor Evolution And Response To Therapy, Akash Mitra

Dissertations & Theses (Open Access)

Intratumor heterogeneity (ITH) is a crucial challenge in cancer treatment. The genotypic and phenotypic heterogeneity underlying diverse cancer types leads to subclonal variation, which may result in mixed or failed response to therapy. The heterogeneity at the tumor level, along with the tumor microenvironment (TME), often shapes tumor evolution and ultimately clinical outcome. Given that modern treatment paradigms increasingly expose patients with metastatic disease to multiple treatment modalities through the course of their disease, there exists a need to characterize robust and predictive biomarkers of response to therapy. In order to accurately characterize tumor evolution, we need to account for …

Neoadjuvant Anti-Ox40 (Medi6469) Therapy In Patients With Head And Neck Squamous Cell Carcinoma Activates And Expands Antigen-Specific Tumor-Infiltrating T Cells., Rebekka Duhen, Carmen Ballesteros-Merino, Alexandra K Frye, Eric Tran, Venkatesh Rajamanickam, Shu-Ching Chang, Yoshinobu Koguchi, Carlo Bifulco, Brady Bernard, Rom Leidner, Brendan Curti, Bernard A Fox, Walter Urba, Richard Bryan Bell, Andrew D Weinberg

Articles, Abstracts, and Reports

Despite the success of checkpoint blockade in some cancer patients, there is an unmet need to improve outcomes. Targeting alternative pathways, such as costimulatory molecules (e.g. OX40, GITR, and 4-1BB), can enhance T cell immunity in tumor-bearing hosts. Here we describe the results from a phase Ib clinical trial (NCT02274155) in which 17 patients with locally advanced head and neck squamous cell carcinoma (HNSCC) received a murine anti-human OX40 agonist antibody (MEDI6469) prior to definitive surgical resection. The primary endpoint was to determine safety and feasibility of the anti-OX40 neoadjuvant treatment. The secondary objective was to assess the effect of …

Prognostic Gene Expression Signatures Of Breast Cancer Are Lacking A Sensible Biological Meaning., Kalifa Manjang, Shailesh Tripathi, Olli Yli-Harja, Matthias Dehmer, Galina Glazko, Frank Emmert-Streib

Articles, Abstracts, and Reports

The identification of prognostic biomarkers for predicting cancer progression is an important problem for two reasons. First, such biomarkers find practical application in a clinical context for the treatment of patients. Second, interrogation of the biomarkers themselves is assumed to lead to novel insights of disease mechanisms and the underlying molecular processes that cause the pathological behavior. For breast cancer, many signatures based on gene expression values have been reported to be associated with overall survival. Consequently, such signatures have been used for suggesting biological explanations of breast cancer and drug mechanisms. In this paper, we demonstrate for a large …

Integrated Genetic And Metabolic Landscapes Predict Vulnerabilities Of Temozolomide Resistant Glioblastoma Cells., Selva Rupa Christinal Immanuel, Avinash D Ghanate, Dharmeshkumar S Parmar, Ritu Yadav, Riya Uthup, Venkateswarlu Panchagnula, Anu Raghunathan

Articles, Abstracts, and Reports

Metabolic reprogramming and its molecular underpinnings are critical to unravel the duality of cancer cell function and chemo-resistance. Here, we use a constraints-based integrated approach to delineate the interplay between metabolism and epigenetics, hardwired in the genome, to shape temozolomide (TMZ) resistance. Differential metabolism was identified in response to TMZ at varying concentrations in both the resistant neurospheroidal (NSP) and the susceptible (U87MG) glioblastoma cell-lines. The genetic basis of this metabolic adaptation was characterized by whole exome sequencing that identified mutations in signaling pathway regulators of growth and energy metabolism. Remarkably, our integrated approach identified rewiring in glycolysis, TCA cycle, …

A Pilot Study Comparing The Efficacy Of Lactate Dehydrogenase Levels Versus Circulating Cell-Free Micrornas In Monitoring Responses To Checkpoint Inhibitor Immunotherapy In Metastatic Melanoma Patients., Matias A Bustos, Rebecca Gross, Negin Rahimzadeh, Hunter Cole, Linh T Tran, Kevin Tran, Ling Takeshima, Stacey L Stern, Steven O'Day, Dave Hoon

Articles, Abstracts, and Reports

Serum lactate dehydrogenase (LDH) is a standard prognostic biomarker for stage IV melanoma patients. Often, LDH levels do not provide real-time information about the metastatic melanoma patients' disease status and treatment response. Therefore, there is a need to find reliable blood biomarkers for improved monitoring of metastatic melanoma patients who are undergoing checkpoint inhibitor immunotherapy (CII). The objective in this prospective pilot study was to discover circulating cell-free microRNA (cfmiR) signatures in the plasma that could assess melanoma patients' responses during CII. The cfmiRs were evaluated by the next-generation sequencing (NGS) HTG EdgeSeq microRNA (miR) Whole Transcriptome Assay (WTA; 2083 …

A Mechanistic And Genomic Analysis Of Molluscum Contagiosum Virus Immune Evasion, Ian Benjamin Harvey

Arts & Sciences Electronic Theses and Dissertations

Molluscum contagiosum virus (MCV) is a common human-specific poxvirus with a proclivity for

infecting children and the immune-compromised. A characteristic MCV infection is restricted to

the epidermal layers of the skin and can persist for weeks to years in an otherwise healthy

individual. The high clinical burden of MCV is at odds with our limited knowledge regarding how

it successfully evades the human immune response, which is in part due to the lack of an animal

model or cell line to propagate the virus. Through this dissertation, we have uncovered and

characterized a novel mechanism by which MC80, a protein …

Brainstem Ischemic Syndrome In Juvenile Nf2., John W Henson, Tara Benkers, Connor Mccormick

Articles, Abstracts, and Reports

Objective: A new case of brainstem ischemic necrosis in a young woman with de novo neurofibromatosis type 2 (NF2) is reported, and given notable similarities to 7 prior cases of brainstem stroke in the literature, features defining a possible syndrome were sought.

Methods: Case review including detailed clinical assessment, neuroimaging analysis, genetic testing, and brain biopsy, followed by a multicase analysis.

Results: Brainstem ischemia in juvenile NF2 typically occurs in teenagers without previously known NF2 as an acute, monophasic presentation with restricted diffusion in the midbrain or pons following a recent hypoperfusion event, normal vascular imaging, obvious intracranial imaging features …

Machine Learning Approaches For Fracture Risk Assessment: A Comparative Analysis Of Genomic And Phenotypic Data In 5130 Older Men, Qing Wu, Fatma Nasoz, Jongyun Jung, Bibek Bhattarai, Mira V. Han

Public Health Faculty Publications

The study aims were to develop fracture prediction models by using machine learning approaches and genomic data, as well as to identify the best modeling approach for fracture prediction. The genomic data of Osteoporotic Fractures in Men, cohort Study (n = 5130), were analyzed. After a comprehensive genotype imputation, genetic risk score (GRS) was calculated from 1103 associated Single Nucleotide Polymorphisms for each participant. Data were normalized and split into a training set (80%) and a validation set (20%) for analysis. Random forest, gradient boosting, neural network, and logistic regression were used to develop prediction models for major osteoporotic fractures …

Meta-Analysis Of The Alzheimer's Disease Human Brain Transcriptome And Functional Dissection In Mouse Models., Ying-Wooi Wan, Rami Al-Ouran, Carl G Mangleburg, Thanneer M Perumal, Tom V Lee, Katherine Allison, Vivek Swarup, Cory C Funk, Chris Gaiteri, Mariet Allen, Minghui Wang, Sarah M Neuner, Catherine C Kaczorowski, Vivek M Philip, Gareth R Howell, Heidi Martini-Stoica, Hui Zheng, Hongkang Mei, Xiaoyan Zhong, Jungwoo Wren Kim, Valina L Dawson, Ted M Dawson, Ping-Chieh Pao, Li-Huei Tsai, Jean-Vianney Haure-Mirande, Michelle E Ehrlich, Paramita Chakrabarty, Yona Levites, Xue Wang, Eric B Dammer, Gyan Srivastava, Sumit Mukherjee, Solveig K Sieberts, Larsson Omberg, Kristen D Dang, James A Eddy, Phil Snyder, Yooree Chae, Sandeep Amberkar, Wenbin Wei, Winston Hide, Christoph Preuss, Ayla Ergun, Phillip J Ebert, David C Airey, Sara Mostafavi, Lei Yu, Hans-Ulrich Klein, Accelerating Medicines Partnership, Alzheimer’S Disease Consortium, Gregory W Carter, David A Collier, Todd E Golde, Allan I Levey, David A Bennett, Karol Estrada, T Matthew Townsend, Bin Zhang, Eric Schadt, Philip L De Jager, Nathan D Price, Nilüfer Ertekin-Taner, Zhandong Liu, Joshua M Shulman, Lara M Mangravite, Benjamin A Logsdon

Articles, Abstracts, and Reports

We present a consensus atlas of the human brain transcriptome in Alzheimer's disease (AD), based on meta-analysis of differential gene expression in 2,114 postmortem samples. We discover 30 brain coexpression modules from seven regions as the major source of AD transcriptional perturbations. We next examine overlap with 251 brain differentially expressed gene sets from mouse models of AD and other neurodegenerative disorders. Human-mouse overlaps highlight responses to amyloid versus tau pathology and reveal age- and sex-dependent expression signatures for disease progression. Human coexpression modules enriched for neuronal and/or microglial genes broadly overlap with mouse models of AD, Huntington's disease, amyotrophic …

Inter-Tumor Heterogeneity-Melanomas Respond Differently To Gm-Csf-Mediated Activation., Adi Moshe, Sivan Izraely, Orit Sagi-Assif, Sapir Malka, Shlomit Ben-Menachem, Tsipi Meshel, Metsada Pasmanik-Chor, Dave Hoon, Isaac P Witz

Articles, Abstracts, and Reports

Granulocyte-monocyte colony stimulating factor (GM-CSF) is used as an adjuvant in various clinical and preclinical studies with contradictory results. These were attributed to opposing effects of GM-CSF on the immune or myeloid systems of the treated patients or to lack of optimal dosing regimens. The results of the present study point to inter-tumor heterogeneity as a possible mechanism accounting for the contrasting responses to GM-CSF incorporating therapies. Employing xenograft models of human melanomas in nude mice developed in our lab, we detected differential functional responses of melanomas from different patients to GM-CSF both in vitro as well as in vivo. …

Advancing Human Health In The Decade Ahead: Pregnancy As A Key Window For Discovery: A Burroughs Wellcome Fund Pregnancy Think Tank., Yoel Sadovsky, Sam Mesiano, Graham J Burton, Michelle Lampl, Jeffrey C Murray, Rachel M Freathy, Anita Mahadevan-Jansen, Ashley Moffett, Nathan D Price, Paul H Wise, Derek E Wildman, Ralph Snyderman, Nigel Paneth, John Anthony Capra, Marcelo A Nobrega, Yaacov Barak, Louis J Muglia

Articles, Abstracts, and Reports

Recent revolutionary advances at the intersection of medicine, omics, data sciences, computing, epidemiology, and related technologies inspire us to ponder their impact on health. Their potential impact is particularly germane to the biology of pregnancy and perinatal medicine, where limited improvement in health outcomes for women and children has remained a global challenge. We assembled a group of experts to establish a Pregnancy Think Tank to discuss a broad spectrum of major gestational disorders and adverse pregnancy outcomes that affect maternal-infant lifelong health and should serve as targets for leveraging the many recent advances. This report reflects avenues for future …

Community Oncology Clinicians’ Knowledge, Beliefs, And Attitudes Regarding Genomic Tumor Testing, Eric Anderson, Alexandra Hinton, Kimberly Murray, Hayley Mandeville, Caitlin Gutheil, Leo Waterston, Lee Lucas, Christine Duarte, Christian Thomas, Susan Miesfeldt, Petra Helbig, Andrey Antov, Jens Rueter, Paul Han

Maine Medical Center

Introduction: Genomic tumor testing (GTT) is a new technology that promises to make cancer treatment more precise. However, little is known about clinicians’ knowledge, beliefs, and attitudes regarding GTT, particularly in community oncology settings.

The Relationship Between Uncertainty Tolerance And Oncologists’ Perceptions Of Large-Panel Genomic Tumor Testing, Eric Anderson, Alexandra Hinton, Christine Lary, Kimberly Murray, Leo Waterson, Paul Han, Maine Cancer Genomics Initiative

Maine Medical Center

Introduction:

Large-panel genomic tumor testing (GTT) is a new technology that promises to make cancer treatment more precise, but that currently poses many uncertainties regarding its clinical value and appropriate use. Uncertainty Tolerance (UT), a psychological construct that describes trait-level differences in individuals’ responses to uncertainty, may influence oncologists’ perceptions and attitudes regarding GTT.

Shared Heritability And Functional Enrichment Across Six Solid Cancers, Xia Jiang, Hilary K. Finucane, Fredrick R. Schumacher, Stephanie L. Schmit, Jonathan P. Tyrer, Younghun Han, Kyriaki Michailidou, Corina Lesseur, Karoline B. Kuchenbaecker, Joe Dennis, David V. Conti, Graham Casey, Mia M. Gaudet, Jeroen R. Huyghe, Demetrius Albanes, Melinda C. Aldrich, Angeline S. Andrew, Irene L. Andrulis, Hoda Anton-Culver, Antonis C. Antoniou, Natalia N. Antonenkova, Susanne M. Arnold, Kristan J. Aronson, Banu K. Arun, Elisa V. Bandera, Rosa B. Barkardottir, Daniel R. Barnes, Jyotsna Batra, Matthias W. Beckmann, Javier Benitez

Markey Cancer Center Faculty Publications

Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (r_g = 0.57, p = 4.6 × 10⁻⁸), breast and ovarian cancer (r_g = 0.24, p = 7 × 10^{−5 …}

Sequence Analysis Methods For The Design Of Cancer Vaccines That Target Tumor-Specific Mutant Antigens (Neoantigens), Jasreet Hundal

Arts & Sciences Electronic Theses and Dissertations

The human adaptive immune system is programmed to distinguish between self and non-self proteins and if trained to recognize markers unique to a cancer, it may be possible to stimulate the selective destruction of cancer cells. Therapeutic cancer vaccines aim to boost the immune system by selectively increasing the population of T cells specifically targeted to the tumor-unique antigens, thereby initiating cancer cell death.. In the past, this approach has primarily focused on targeted selection of ‘shared’ tumor antigens, found across many patients. The advent of massively parallel sequencing and specialized analytical approaches has enabled more efficient characterization of tumor-specific …

A Tail Of Two Pancancer Projects: Somatic Variant Identification And Driver Gene Discovery Using Tcga, Matthew Hawkins Bailey

Arts & Sciences Electronic Theses and Dissertations

The implementation of next-generation genomic sequencing has exploded over the past dozen years. Large consortia, such as The Cancer Genome Atlas (TCGA); the International Cancer Genetics Consortium (ICGC); and the Pediatric Cancer Genome Projects (PCGP), made great strides in democratizing big data for the scientific community. These data sets provide a rich resource to build tools for somatic variant discovery and exploratory analysis. Public repositories hold the answer to many novel biological and clinical revelations i.e., the discovery of complex indels, splice creating mutations, alternative super enhancer binding sites, machine learning models to predict mutation impact, and cancer subtype classification …

Discerning Drivers Of Cancer: Computational Approaches To Somatic Exome Sequencing Data, Runjun Kumar

Arts & Sciences Electronic Theses and Dissertations

Paired tumor-normal sequencing of thousands of patient’s exomes has revealed millions of somatic mutations, but functional characterization and clinical decision making are stymied because biologically neutral ‘passenger’ mutations greatly outnumber pathogenic ‘driver’ mutations. Since most mutations will return negative results if tested, conventional resource-intensive experiments are reserved for mutations which are observed in multiple patients or rarer mutations found in well-established cancer genes. Most mutations are therefore never tested, diminishing the potential to discover new mechanisms of cancer development and treatment opportunities. Computational methods that reliably prioritize mutations for testing would greatly increase the translation of sequencing results to clinical …

Bayesian Prediction Intervals For Assessing P-Value Variability In Prospective Replication Studies, Olga A. Vsevolozhskaya, Gabriel Ruiz, Dmitri Zaykin

Biostatistics Faculty Publications

Increased availability of data and accessibility of computational tools in recent years have created an unprecedented upsurge of scientific studies driven by statistical analysis. Limitations inherent to statistics impose constraints on the reliability of conclusions drawn from data, so misuse of statistical methods is a growing concern. Hypothesis and significance testing, and the accompanying P-values are being scrutinized as representing the most widely applied and abused practices. One line of critique is that P-values are inherently unfit to fulfill their ostensible role as measures of credibility for scientific hypotheses. It has also been suggested that while P-values …

Advancing Stroke Genomic Research In The Age Of Trans-Omics Big Data Science: Emerging Priorities And Opportunities, Mayowa Owolabi, Emmanuel Peprah, Huichun Xu, Rufus Akinyemi, Hemant K. Tiwari, Marguerite R. Irvin, Kolawole Wasiu Wahab, Donna K. Arnett, Bruce Ovbiagele

Epidemiology and Environmental Health Faculty Publications

Background—We systematically reviewed the genetic variants associated with stroke in genome-wide association studies (GWAS) and examined the emerging priorities and opportunities for rapidly advancing stroke research in the era of Trans-Omics science.

Methods—Using the PRISMA guideline, we searched PubMed and NHGRI- EBI GWAS catalog for stroke studies from 2007 till May 2017.

Results—We included 31 studies. The major challenge is that the few validated variants could not account for the full genetic risk of stroke and have not been translated for clinical use. None of the studies included continental Africans. Genomic study of stroke among Africans presents …

Comprehensive Genomic Profiling In Routine Clinical Practice Leads To A Low Rate Of Benefit From Genotype-Directed Therapy, Talal Hilal, Mary Nakazawa, Jacob Hodskins, John L. Villano, Aju Mathew, Gaurav Goel, Lars M. Wagner, Susanne M. Arnold, Philip Desimone, Lowell B. Anthony, Peter J. Hosein

Markey Cancer Center Faculty Publications

Background: Describe a single-center real-world experience with comprehensive genomic profiling (CGP) to identify genotype directed therapy (GDT) options for patients with malignancies refractory to standard treatment options.

Methods: Patients who had CGP by a CLIA-certified laboratory between November 2012 and December 2015 were included. The medical records were analyzed retrospectively after Institutional Review Board (IRB) approval. The treating oncologist made the decision to obtain the assay to provide potential therapeutic options. The objectives of this study were to determine the proportion of patients who benefited from GDT, and to identify barriers to receiving GDT.

Results: A total of 125 pediatric …

Activity Of Distinct Growth Factor Receptor Network Components In Breast Tumors Uncovers Two Biologically Relevant Subtypes, Moom Roosan, Shelley M. Macneil, David F. Jenkins, Gajendra Shrestha, Sydney R. Wyatt, Jasmine A. Mcquerry, Stephen R. Piccolo, Laura M. Heiser, Joe W. Gray, W. Evan Johnson, Andrea H. Bild

Pharmacy Faculty Articles and Research

Background
The growth factor receptor network (GFRN) plays a significant role in driving key oncogenic processes. However, assessment of global GFRN activity is challenging due to complex crosstalk among GFRN components, or pathways, and the inability to study complex signaling networks in patient tumors. Here, pathway-specific genomic signatures were used to interrogate GFRN activity in breast tumors and the consequent phenotypic impact of GRFN activity patterns.

Methods
Novel pathway signatures were generated in human primary mammary epithelial cells by overexpressing key genes from GFRN pathways (HER2, IGF1R, AKT1, EGFR, KRAS (G12V), RAF1, BAD). The pathway analysis toolkit Adaptive Signature Selection …

Whole Genome Sequencing As A Tool For Identifying Phenotypic Properties And Underlying Genetic Mechanisms In Staphylococcus Pseudintermedius, Matthew C. Riley

Doctoral Dissertations

Staphylococcus pseudintermedius is a Gram-positive bacterial opportunistic pathogen commonly associated with dermal infections in canines, but capable of causing serious disease in other species. Reports of human infections caused by S. pseudintermedius along with an increase in resistance to multiple antibiotics highlights the importance of this organism. Whole genome sequencing can allow large scale investigation of genetic mechanisms underlying phenotypic properties that contribute to the expansion of successful S. pseudintermedius clonal lineages.

The increase in multidrug and methicillin-resistant S. pseudintermedius (MRSP) may result from horizontal transfer of genetic material between bacterial isolates, yet is thought to be rare in Staphylococci …

Techniques And Approaches To Genetic Analyses In Nephrological Disorders., Laurel K. Willig

Manuscripts, Articles, Book Chapters and Other Papers

Inherited renal disease is a leading cause of morbidity and mortality in pediatric nephrology. High throughput advancements in genomics have led to greater understanding of the biologic underpinnings of these diseases. However, the underlying genetic changes explain only part of the molecular biology that contributes to disease manifestation and progression. Other omics technologies will provide a more complete picture of these cellular processes. This review discusses these omics technologies in the context of pediatric renal disease.