Evidence map›Paper›PMID 20103664›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2010

Inherited determinants of ovarian cancer survival.

Ellen L Goode, Matthew J Maurer, Thomas A Sellers, Catherine M Phelan, Kimberly R Kalli, Brooke L Fridley, Robert A Vierkant, Sebastian M Armasu, Kristin L White, Gary L Keeney and 10 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 pooled it
8.8field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 3 syntheses or guidelines pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Article
  5. Review
  6. Detecting vascular normalization in epithelial ovarian cancer.Medical oncology (Northwood, London, England) · 2025
    Review
  7. Patterns of Associations with Epidemiologic Factors by High-Grade Serous Ovarian Cancer Gene Expression Subtypes.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
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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

20 authors at 4 institutions in 1 country.

Ellen L GoodeMayo Clinic College of Medicine, Rochester, Minnesota, USA. egoode@mayo.edu
Matthew J Maurer
Thomas A Sellers
Catherine M Phelan
Kimberly R Kalli
Brooke L Fridley
Robert A Vierkant
Sebastian M Armasu
Kristin L White
Gary L Keeney
William A Cliby
David N Rider
Linda E Kelemen
Monica B Jones
Prema P Peethambaram
Johnathan M Lancaster
Janet E Olson
Joellen M Schildkraut
Julie M Cunningham
Lynn C Hartmann
Mayo Clinic in Arizona · USUniversity of South Florida · USDuke University · USMayo Clinic · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
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
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
NCI NIH HHS P30 CA015083NCI NIH HHS P50 CA136393NCI NIH HHS P50-CA136393-01A1NCI NIH HHS R01 CA086888NCI NIH HHS R01 CA122443NCI NIH HHS R01-CA122443NCI NIH HHS R01-CA86888
6 · The paper itself

Abstract

purposeDue to variation of outcome among cases, we sought to examine whether overall survival in ovarian cancer was associated with common inherited variants in 227 candidate genes from ovarian cancer-related pathways including angiogenesis, inflammation, detoxification, glycosylation, one-carbon transfer, apoptosis, cell cycle regulation, and cellular senescence. EXPERIMENTAL

designBlood samples were obtained from 325 women with invasive epithelial ovarian cancer diagnosed at the Mayo Clinic from 1999 to 2006. During a median follow-up of 3.8 years (range, 0.1-8.6 years), 157 deaths were observed. Germline DNA was analyzed at 1,416 single nucleotide polymorphisms (SNP). For all patients, and for 203 with serous subtype, we assessed the overall significance of each gene and pathway, and estimated risk of death via hazard ratios (HR) and 95% confidence intervals (CI), adjusting for known prognostic factors.

resultsVariation within angiogenesis was most strongly associated with survival time overall (P = 0.03) and among patients with serous cancer (P = 0.05), particularly for EIF2B5 rs4912474 (all patients HR, 0.69; 95% CI, 0.54-0.89; P = 0.004), VEGFC rs17697305 (serous subtype HR, 2.29; 95% CI, 1.34-3.92; P = 0.003), and four SNPs in VHL. Variation within the inflammation pathway was borderline significant (all patients, P = 0.09), and SNPs in CCR3, IL1B, IL18, CCL2, and ALOX5 which correlated with survival time are worthy of follow-up.

conclusionAn extensive multiple-pathway assessment found evidence that inherited differences may play a role in outcome of ovarian cancer patients, particularly in genes within the angiogenesis and inflammation pathways. Our work supports efforts to target such mediators for therapeutic gain.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAgedAged, 80 and overFemaleHumansInflammationMiddle AgedNeovascularization, PathologicOvarian Neoplasms

Identifiers

PMID20103664
PMCPMC2818685
OpenAlexW2153186785

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.