Andrew H. Girgis

ORCID: 0000-0003-3314-285X
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About
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Research Areas
  • Renal and related cancers
  • Renal cell carcinoma treatment
  • MicroRNA in disease regulation
  • Genetic and Kidney Cyst Diseases
  • Cancer Genomics and Diagnostics
  • Circular RNAs in diseases
  • Ferroptosis and cancer prognosis
  • RNA modifications and cancer
  • Cancer-related molecular mechanisms research
  • Extracellular vesicles in disease
  • Epigenetics and DNA Methylation
  • Acute Kidney Injury Research
  • Immunotherapy and Immune Responses
  • Central Venous Catheters and Hemodialysis
  • Nutrition, Genetics, and Disease
  • Kruppel-like factors research
  • Cancer, Hypoxia, and Metabolism
  • Chromatin Remodeling and Cancer
  • Peptidase Inhibition and Analysis
  • MRI in cancer diagnosis
  • Biomedical Text Mining and Ontologies
  • Cancer Immunotherapy and Biomarkers
  • Cardiac Arrest and Resuscitation
  • Angiogenesis and VEGF in Cancer
  • Hepatocellular Carcinoma Treatment and Prognosis

Osaka University
2020

The University of Melbourne
2019

Royal Children's Hospital
2019

University of Toronto
2011-2017

Mount Sinai Hospital
2012-2016

St. Michael's Hospital
2009-2014

Bipar
2013

Queen's University
2012

Sunnybrook Health Science Centre
2012

Renal cell carcinoma is the most common neoplasm of adult kidney. Currently to our knowledge there are no biomarkers for diagnostic, prognostic or predictive applications renal carcinoma. miRNAs nonprotein coding RNAs that negatively regulate gene expression and potential cancer.We analyzed 70 matched pairs clear normal kidney tissues from same patients by microarray analysis validated results quantitative real-time polymerase chain reaction. We also performed extensive bioinformatic explore...

10.1016/j.juro.2011.04.110 article EN The Journal of Urology 2011-07-26

Over 90% of cancer-related deaths in clear cell renal carcinoma (RCC) are caused by tumor relapse and metastasis. Thus, there is an urgent need for new molecular markers that can potentiate the efficacy current clinical-based models prognosis assessment. The objective this study to evaluate potential significance lactate dehydrogenase A (LDHA), assessed immunohistochemical staining, as a prognostic marker relation clinicopathological features clinical outcome. We expression LDHA at protein...

10.1186/1476-4598-13-101 article EN cc-by Molecular Cancer 2014-05-05

MicroRNAs (miRNAs) play a crucial role in tumor progression and metastasis. We, others, recently identified number of miRNAs that are dysregulated metastatic renal cell carcinoma compared with primary carcinoma. Here, we investigated three significantly downregulated tumors: miR-192, miR-194 miR-215. Gain-of-function analyses showed restoration their expression decreases migration invasion line models, whereas knockdown these resulted enhancing cellular abilities. We targets potential...

10.1093/carcin/bgt184 article EN Carcinogenesis 2013-05-28

miRNAs are small, nonprotein coding RNAs that differentially expressed in many malignancies. We previously identified 80 dysregulated clear cell renal carcinoma. In this study we validated over expression of the miR-17-92 cluster carcinoma and tested effect 2 members (miR-17-5p miR-20a) on tumor proliferation. also elucidated role miRNA pathogenesis with bioinformatics.miRNA was by quantitative reverse transcriptase-polymerase chain reaction. The proliferation miR-17-5p miR-20a a...

10.1016/j.juro.2009.09.086 article EN The Journal of Urology 2009-12-18

Renal cell carcinoma (RCC) is the most common neoplasm of kidney. We conducted an integrated analysis copy number, gene expression (mRNA and miRNA), protein expression, methylation changes in clear renal (ccRCC). used a stepwise approach to identify significant number aberrations (CNA) identified regions peak broad gain loss, including gains (3q21, 5q32, 5q34-q35, 7p11, 7q21, 8q24, 11q13, 12q14) deletions (1p36, 2q34-q37, 3p25, 4q33-q35, 6q23-q27, 9p21). These harbor novel tumor-related...

10.1158/0008-5472.can-12-0656 article EN Cancer Research 2012-08-28

Kallikrein-related peptidases (KLKs) are a family of serine proteases that have been shown to be dysregulated in several malignancies including ovarian cancer. The control kallikrein genes and their physiological function cancer is not well understood. We hypothesized microRNAs (miRNAs) represent novel mechanism for post-transcriptional KLK expression cancer.We first analysed miRNA silico. A total 98 miRNAs were reported altered Three these predicted target KLK10. experimentally verified the...

10.1038/sj.bjc.6605634 article EN cc-by-nc-sa British Journal of Cancer 2010-03-30

Abstract Purpose The clinical implications of biallelic inactivation CDKN2A/B in clear cell renal carcinoma (ccRCC) and relevant dysregulated biological pathways gene signatures were investigated. Materials Methods Data obtained from the TCGA data set validated using Project GENIE previously published dataset. allelic status was classified into 3 groups, including (homozygous deletion or combined heterozygous mutation), monoallelic loss (heterozygous mutation) absent loss. Univariate...

10.1101/143180 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2017-05-29

Abstract Hereditary Breast and Ovarian Cancer Sydrome (HBOC) accounts for approximately 5-10% of breast ovarian cancer cases germline mutations the BRCA1 BRCA2 genes confer substantially increased risk. However, risk developing cancer, type associated age at diagnosis vary depending on mutation carried individual's ethnic background gender. Screening was conducted 5, 512 high-risk individuals with a prior probability carrying pathogenic (>10% chance) from Advanced Molecular...

10.1158/1557-3125.advbc15-a34 article EN Molecular Cancer Research 2016-02-01

385 Background: miRNAs play a crucial rule in tumor progression and metastasis. We previously identified miR-192, miR-194 miR-215 to be down-regulated metastatic compared primary clear cell renal carcinoma (ccRCC). In this work, we examine the role of miR-194, RCC aggressiveness. Methods: examined these three on migration invasion abilities using line models. performed target prediction analysis experimentally validated targets independent approaches. addition, clinical utility as potential...

10.1200/jco.2013.31.6_suppl.385 article EN Journal of Clinical Oncology 2013-02-20

<h3>Background</h3> There is a critical need for collaborative measures between Canadian institutions to better facilitate variant analysis and data sharing. <h3>Objectives</h3> The Open Genetics Repository (COGR) effort the collection, sharing of variants reported by medical diagnostics laboratories across Canada. project focuses on reaching consensus agreements classification among clinical through disseminating such information large, public repository. <h3>Design/method</h3> COGR...

10.1136/jmedgenet-2015-103578.26 article EN Journal of Medical Genetics 2015-11-01
Kevin A. Roth Mark E. Sobel Jung S. Byun Kevin Gardner Brooke T. Mossman and 95 more Arti Shukla Nicholas H. Heintz Claire F. Verschraegen Anish Thomas Raffit Hassan Juan Iovanna David Marks Martín E. Fernández-Zapico Raúl Urrutia Diane R. Bielenberg Patricia A. D’Amore Neele Walther Antje Ulrich Martina Vockerodt Frederike von Bonin Wolfram Klapper Katharina Meyer Sonja Eberth Tobias Pukrop Rainer Spang Lorenz Trümper Dieter Kube Faezeh Vasheghani Roxana Monemdjou Hassan Fahmi Yanlong Zhang Gemma Pérez Meryem Blati René St‐Arnaud Jean‐Pierre Pelletier Frank Beier Johanne Martel‐Pelletier Mohit Kapoor Patrick Scheiermann Malte Bachmann Itamar Goren Bernhard Zwißler Josef Pfeilschifter Heiko Mühl Taehyung Lee Eun-Hee Lee Regina Irwin Peter C. Lucas Laura Mccabe Narayanan Parameswaran Markus Bosmann Fabien Meta Robert Ruemmler Mikel D. Haggadone J. Vidya Sarma Firas S. Zetoune Peter A. Ward Allison L. McDaniel Heather M. Alger Janet K. Sawyer Kathryn L. Kelley Nancy D. Kock James Brown Ryan E. Temel Lawrence L. Rudel Qiaoli Li Haitao Guo David W. Chou Dominic J. Harrington Leon J. Schurgers Sharon F. Terry Jouni Uitto Arati Sharma SubbaRao V. Madhunapantula Raghavendra Gowda Arthur Berg Rogerio I. Neves Gavin P. Robertson Zsuzsanna Lichner Andreas Scorilas Nicole White Andrew H. Girgis Lora Rotstein Kimberly C. Wiegand Ashraf Latif Christina R. Chow David Huntsman George M. Yousef Angela Y. Jia Mireia Castillo-Martín Josep Domingo-Domènech Dennis M. Bonal Marta Sänchez‐Carbayo J. Fernando Silva Carlos Cordón-Cardo Yu‐Ping Wang Zhi Lin Zhichao Liu Stephen Harris Reagan Kelly

10.1016/s0002-9440(13)00145-4 article EN publisher-specific-oa American Journal Of Pathology 2013-03-15
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