Evidence map›Paper›PMID 21724856›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2011

Assessment of hepatocyte growth factor in ovarian cancer mortality.

Ellen L Goode, Georgia Chenevix-Trench, Lynn C Hartmann, Brooke L Fridley, Kimberly R Kalli, Robert A Vierkant, Melissa C Larson, Kristin L White, Gary L Keeney, Trynda N Oberg and 33 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  4. Risk Factors for Ovarian Cancer by BRCA Status: A Collaborative Case-Only Analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

43 authors at 4 institutions in 4 countries.

Ellen L GoodeDepartment of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN 55905, USA. egoode@mayo.edu
Georgia Chenevix-Trench
Lynn C Hartmann
Brooke L Fridley
Kimberly R Kalli
Robert A Vierkant
Melissa C Larson
Kristin L White
Gary L Keeney
Trynda N Oberg
Julie M Cunningham
Jonathan Beesley
Sharon E Johnatty
Xiaoqing Chen
Katelyn E Goodman
Sebastian M Armasu
David N Rider
Hugues Sicotte
Michele M Schmidt
Elaine A Elliott
Estrid Høgdall
Susanne Krüger Kjær
Peter A Fasching
Arif B Ekici
Diether Lambrechts
Evelyn Despierre
Claus Høgdall
Lene Lundvall
Beth Y Karlan
Jenny Gross
Robert Brown
Jeremy Chien
David J Duggan
Ya-Yu Tsai
Catherine M Phelan
Linda E Kelemen
Prema P Peethambaram
Joellen M Schildkraut
Vijayalakshmi Shridhar
Rebecca Sutphen
Fergus J Couch
Thomas A Sellers
Ovarian Cancer Association Consortium
Mayo Clinic in Florida · USDanish Cancer Society · DKQIMR Berghofer Medical Research Institute · AUAlberta Health Services · CA

Funding

Use of microfluidic tumor cultures to enable clinical trials of therapies for ovarian cancerP50CA136393 · NCI · MAYO CLINIC ROCHESTER · PI Zhenkun Lou · 2009 to 2026
$37.0M
Population-Based Analysis of Ovarian Cancer BiomarkersR01CA106414 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI SUTPHEN, REBECCA · 2005 to 2009
$3.0M
Genetic Variation in the NF-kappaB Pathway and Ovarian Cancer EtiologyR01CA122443 · NCI · MAYO CLINIC ROCHESTER · PI GOODE, ELLEN L. · 2007 to 2012
$2.7M
Estrogen Bioactivation and Risk of Ovarian CancerR01CA086888 · NCI · MAYO CLINIC COLL OF MEDICINE, ROCHESTER · PI SELLERS, THOMAS A · 2002 to 2005
$2.0M
Cancer Research UK 13086NCI NIH HHS P50 CA136393NCI NIH HHS R01 CA086888NCI NIH HHS R01 CA106414NCI NIH HHS R01 CA122443NCI NIH HHS R01-CA122443NCI NIH HHS R01-CA86888
6 · The paper itself

Abstract

backgroundInvasive ovarian cancer is a significant cause of gynecologic cancer mortality.

methodsWe 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).

resultsThe 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).

conclusionsWe 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.

Indexed as

FemaleGenotypeHepatocyte Growth FactorHumansImmunohistochemistryOvarian NeoplasmsPolymorphism, Single NucleotideSignal TransductionUnited StatesHepatocyte Growth Factor

Identifiers

PMID21724856
PMCPMC3153603
OpenAlexW2115469426

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.