Ontology highlight
ABSTRACT: Background
Invasive ovarian cancer is a significant cause of gynecologic cancer mortality.Methods
We examined whether this mortality was associated with inherited variation in approximately 170 candidate genes/regions [993 single-nucleotide polymorphisms (SNPs)] in a multistage analysis based initially on 312 Mayo Clinic cases (172 deaths). Additional analyses used The Cancer Genome Atlas (TCGA; 127 cases, 62 deaths). For the most compelling gene, we immunostained Mayo Clinic tissue microarrays (TMA, 326 cases) and conducted consortium-based SNP replication analysis (2,560 cases, 1,046 deaths).Results
The strongest initial mortality association was in HGF (hepatocyte growth factor) at rs1800793 (HR = 1.7, 95% CI = 1.3-2.2, P = 2.0 × 10(-5)) and with overall variation in HGF (gene-level test, P = 3.7 × 10(-4)). Analysis of TCGA data revealed consistent associations [e.g., rs5745709 (r(2) = 0.96 with rs1800793): TCGA HR = 2.4, CI = 1.4-4.1, P = 2.2 × 10(-3); Mayo Clinic + TCGA HR = 1.6, CI = 1.3-1.9, P = 7.0 × 10(-5)] and suggested genotype correlation with reduced HGF mRNA levels (P = 0.01). In Mayo Clinic TMAs, protein levels of HGF, its receptor MET (C-MET), and phospho-MET were not associated with genotype and did not serve as an intermediate phenotype; however, phospho-MET was associated with reduced mortality (P = 0.01) likely due to higher expression in early-stage disease. In eight additional ovarian cancer case series, HGF rs5745709 was not associated with mortality (HR = 1.0, CI = 0.9-1.1, P = 0.87).Conclusions
We conclude that although HGF signaling is critical to migration, invasion, and apoptosis, it is unlikely that HGF genetic variation plays a major role in ovarian cancer mortality. Furthermore, any minor role is not related to genetically-determined expression.Impact
Our study shows the utility of multiple data types and multiple data sets in observational studies.
SUBMITTER: Goode EL
PROVIDER: S-EPMC3153603 | biostudies-literature | 2011 Aug
REPOSITORIES: biostudies-literature
Goode Ellen L EL Chenevix-Trench Georgia G Hartmann Lynn C LC Fridley Brooke L BL Kalli Kimberly R KR Vierkant Robert A RA Larson Melissa C MC White Kristin L KL Keeney Gary L GL Oberg Trynda N TN Cunningham Julie M JM Beesley Jonathan J Johnatty Sharon E SE Chen Xiaoqing X Goodman Katelyn E KE Armasu Sebastian M SM Rider David N DN Sicotte Hugues H Schmidt Michele M MM Elliott Elaine A EA Høgdall Estrid E Kjær Susanne Krüger SK Fasching Peter A PA Ekici Arif B AB Lambrechts Diether D Despierre Evelyn E Høgdall Claus C Lundvall Lene L Karlan Beth Y BY Gross Jenny J Brown Robert R Chien Jeremy J Duggan David J DJ Tsai Ya-Yu YY Phelan Catherine M CM Kelemen Linda E LE Peethambaram Prema P PP Schildkraut Joellen M JM Shridhar Vijayalakshmi V Sutphen Rebecca R Couch Fergus J FJ Sellers Thomas A TA
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 20110701 8
<h4>Background</h4>Invasive ovarian cancer is a significant cause of gynecologic cancer mortality.<h4>Methods</h4>We examined whether this mortality was associated with inherited variation in approximately 170 candidate genes/regions [993 single-nucleotide polymorphisms (SNPs)] in a multistage analysis based initially on 312 Mayo Clinic cases (172 deaths). Additional analyses used The Cancer Genome Atlas (TCGA; 127 cases, 62 deaths). For the most compelling gene, we immunostained Mayo Clinic tis ...[more]