Evidence map›Paper›PMID 20559705›Full record

ArticleCancer causes & control : CCC2010

Pooled analysis of the association of PTGS2 rs5275 polymorphism and NSAID use with invasive ovarian carcinoma risk.

Galina Lurie, Kathryn L Terry, Lynne R Wilkens, Pamela J Thompson, Katharine E McDuffie, Michael E Carney, Rachel T Palmieri, Daniel W Cramer, Marc T Goodman

Abstract read
In one paragraph

Article in Cancer causes & control : CCC, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 7 pooled it
–field-weighted citation impact
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

20 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Combined and interactive effects of environmental and GWAS-identified risk factors in ovarian cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013
    Pooled it
  6. Pooled it
  7. Pooled it
  8. Article
  9. High Prediagnosis Inflammation-Related Risk Score Associated with Decreased Ovarian Cancer Survival.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Polymorphisms in cyclooxygenase-2 gene in endometrial cancer patients.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  14. Targeted immune therapy of ovarian cancer.Cancer metastasis reviews · 2015
    Review
  15. Article
  16. The immune system in the pathogenesis of ovarian cancer.Critical reviews in immunology · 2013
    Review
  17. Article
  18. Article
  19. Article
  20. 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

9 authors.

Galina LurieCancer Research Center of Hawaii, University of Hawaii, Honolulu, HI 96813, USA. glurie@CRCH.hawaii.edu
Kathryn L Terry
Lynne R Wilkens
Pamela J Thompson
Katharine E McDuffie
Michael E Carney
Rachel T Palmieri
Daniel W Cramer
Marc T Goodman

Funding

Novel Serum, Plasma, and Urine Biomarkers of Ovarian CanP50CA105009 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI CRAMER, DANIEL WILLIAM · 2004 to 2010
$13.3M
OVARIAN CANCER RISK AND HYPERGONADOTROPIC HYPOGONADISMR01CA054419 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI CRAMER, DANIEL WILLIAM · 1992 to 2007
$5.9M
COLLABORATIVE STUDY OF OVARIAN CANCER IN TWO RISK GROUPSR01CA058598 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI GOODMAN, MARC T · 1993 to 2012
$4.6M
SURVEILLANCE, EPIDEMIOLOGY, AND END RESULTS PROGRAMN01PC067001 · PC · UNIVERSITY OF HAWAII AT MANOA · PI GOODMAN, MARC T · 1996 to 2000
$1.6M
SURVEILLANCE EPIDEMIOLOGY AND END RESULTS (SEER)N01CN055424 · CN · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N · 1985 to 1989
–
NCI NIH HHS N01-CN-55424NCI NIH HHS N01-PC-67001NCI NIH HHS P50 CA105009NCI NIH HHS P50-CA-105009NCI NIH HHS R01 CA054419NCI NIH HHS R01 CA058598NCI NIH HHS R01-CA-54419NCI NIH HHS R01-CA-58598
6 · The paper itself

Abstract

Inflammation is postulated to play an important role in ovarian carcinogenesis. Prostaglandin endoperoxide synthase 2 (PTGS2) is responsible for the conversion of arachidonic acid to prostaglandins in response to inflammation. In a pooled analysis of two population-based studies, the Hawaii Ovarian Cancer Case-Control Study and the New England Case-Control Study, including 1,025 women with invasive ovarian carcinoma and 1,687 cancer-free controls, the association of ovarian cancer risk with the PTGS2 rs5275 polymorphism and the use of nonsteroidal antiinflammatory drugs (NSAIDs) were examined. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using unconditional logistic regression. In the pooled analysis, the CC genotype was associated with a reduced risk of nonserous ovarian carcinoma (OR = 0.66; CI: 0.44-0.98). In addition, the lowest risk was observed among carriers of the CC genotype who were users of only nonaspirin NSAIDs (OR = 0.43; CI:0.20-0.93) in all women combined. The association of PTGS2 rs5275 with nonserous ovarian carcinoma and possible effect modification by NSAID use needs further validation, preferably in prospective studies.

Indexed as

AdolescentAdultAgedAged, 80 and overAllelesAnti-Inflammatory Agents, Non-SteroidalCase-Control StudiesCyclooxygenase 2FemaleGenotypeHawaiiHumansLogistic ModelsMiddle AgedNew EnglandOvarian NeoplasmsAnti-Inflammatory Agents, Non-SteroidalCyclooxygenase 2

Identifiers

PMID20559705
PMCPMC3013231

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.