Evidence map›Paper›PMID 23382860›Full record

ArticlePloS one2013

Inherited variants in regulatory T cell genes and outcome of ovarian cancer.

Ellen L Goode, Melissa DeRycke, Kimberly R Kalli, Ann L Oberg, Julie M Cunningham, Matthew J Maurer, Brooke L Fridley, Sebastian M Armasu, Daniel J Serie, Priya Ramar and 31 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.9field-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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Pooled Clustering of High-Grade Serous Ovarian Cancer Gene Expression Leads to Novel Consensus Subtypes Associated with Survival and Surgical Outcomes.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Targeted immune therapy of ovarian cancer.Cancer metastasis reviews · 2015
    Review
  10. B7-H6 expression correlates with cancer progression and patient's survival in human ovarian cancer.International journal of clinical and experimental pathology · 2015
    Article
  11. Review
  12. Article
  13. Article
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

41 authors at 15 institutions in 2 countries.

Ellen L GoodeDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America. egoode@mayo.edu
Melissa DeRycke
Kimberly R Kalli
Ann L Oberg
Julie M Cunningham
Matthew J Maurer
Brooke L Fridley
Sebastian M Armasu
Daniel J Serie
Priya Ramar
Krista Goergen
Robert A Vierkant
David N Rider
Hugues Sicotte
Chen Wang
Boris Winterhoff
Catherine M Phelan
Joellen M Schildkraut
Rachel P Weber
Ed Iversen
Andrew Berchuck
Rebecca Sutphen
Michael J Birrer
Shalaka Hampras
Leah Preus
Simon A Gayther
Susan J Ramus
Nicolas Wentzensen
Hannah P Yang
Montserrat Garcia-Closas
Honglin Song
Jonathan Tyrer
Paul P D Pharoah
Gottfried Konecny
Thomas A Sellers
Roberta B Ness
Lara E Sucheston
Kunle Odunsi
Lynn C Hartmann
Kirsten B Moysich
Keith L Knutson
Mayo Clinic · USMayo Clinic in Florida · USRoswell Park Comprehensive Cancer Center · USDuke University · USUniversity of Cambridge · GBSouthern California University for Professional Studies · USUniversity of South Florida · USBrigham and Women's Hospital · USInstitute of Cancer Research · GBMoffitt Cancer Center · USNational Cancer Institute · USNational Institutes of Health · USThe University of Texas Health Science Center at Houston · USUniversity of California, Los Angeles · USWinnMed · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
Hormone-Related CancersZIACP010126 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GIERACH, GRETCHEN · 2009 to 2025
$103.5M
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
Ovarian cancer GWAS discovery, expansion and replication (N2 - Project #1)U19CA148112 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI SELLERS, THOMAS A · 2010 to 2014
$10.2M
Haplotype-Based Genome Screen for Ovarian Cancer LociR01CA114343 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI SELLERS, THOMAS A · 2007 to 2011
$7.5M
The Molecular Epidemiology Of Ovarian CancerR01CA076016 · NCI · DUKE UNIVERSITY · PI SCHILDKRAUT, JOELLEN M. · 1998 to 2010
$6.2M
Mayo Cancer Genetic Epidemiology Training ProgramR25CA092049 · NCI · MAYO CLINIC ROCHESTER · PI PETERSEN, GLORIA M., VACHON, CELINE M · 2001 to 2018
$5.3M
The Mitochondrial Genome and Ovarian Cancer RiskR01CA149429 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI PHELAN, CATHERINE · 2010 to 2015
$3.1M
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 10119Cancer Research UK 10124Cancer Research UK A10119Cancer Research UK A10124Cancer Research UK A11306Cancer Research UK A6187Cancer Research UK A7058Cancer Research UK A8339NCI NIH HHS P30 CA015083NCI NIH HHS P50 CA136393NCI NIH HHS P50-CA136393NCI NIH HHS R01 CA076016NCI NIH HHS R01 CA086888NCI NIH HHS R01-CA086888NCI NIH HHS R01 CA106414NCI NIH HHS R01-CA106414NCI NIH HHS R01 CA114343NCI NIH HHS R01-CA114343NCI NIH HHS R01 CA122443NCI NIH HHS R01-CA122443NCI NIH HHS R01 CA149429NCI NIH HHS R01-CA76016NCI NIH HHS R25 CA092049NCI NIH HHS U19 CA148112NCI NIH HHS U19-CA148112
6 · The paper itself

Abstract

Although ovarian cancer is the most lethal of gynecologic malignancies, wide variation in outcome following conventional therapy continues to exist. The presence of tumor-infiltrating regulatory T cells (Tregs) has a role in outcome of this disease, and a growing body of data supports the existence of inherited prognostic factors. However, the role of inherited variants in genes encoding Treg-related immune molecules has not been fully explored. We analyzed expression quantitative trait loci (eQTL) and sequence-based tagging single nucleotide polymorphisms (tagSNPs) for 54 genes associated with Tregs in 3,662 invasive ovarian cancer cases. With adjustment for known prognostic factors, suggestive results were observed among rarer histological subtypes; poorer survival was associated with minor alleles at SNPs in RGS1 (clear cell, rs10921202, p=2.7×10(-5)), LRRC32 and TNFRSF18/TNFRSF4 (mucinous, rs3781699, p=4.5×10(-4), and rs3753348, p=9.0×10(-4), respectively), and CD80 (endometrioid, rs13071247, p=8.0×10(-4)). Fo0r the latter, correlative data support a CD80 rs13071247 genotype association with CD80 tumor RNA expression (p=0.006). An additional eQTL SNP in CD80 was associated with shorter survival (rs7804190, p=8.1×10(-4)) among all cases combined. As the products of these genes are known to affect induction, trafficking, or immunosuppressive function of Tregs, these results suggest the need for follow-up phenotypic studies.

Indexed as

Genome-Wide Association StudyAgedAllelesB7-1 AntigenFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHumansMiddle AgedOvarian NeoplasmsPolymorphism, Single NucleotideQuantitative Trait LociT-Lymphocytes, RegulatoryB7-1 Antigen

Identifiers

PMID23382860
PMCPMC3559692
OpenAlexW2047495852

What OpenQuestion holds

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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.