Evidence map›Paper›PMID 24146310›Full record

ArticleClinical chemistry2014

Genetic variants in the fibroblast growth factor pathway as potential markers of ovarian cancer risk, therapeutic response, and clinical outcome.

Qing H Meng, Enping Xu, Michelle A T Hildebrandt, Dong Liang, Karen Lu, Yuanqing Ye, Elizabeth A Wagar, Xifeng Wu

Open access · bronzeAbstract read
In one paragraph

Article in Clinical chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

23 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Fibroblast growth factor receptor 2 gene (Saudi journal of biological sciences · 2021
    Article
  11. Article
  12. Article
  13. Role of Fibroblast Growth Factor 23 (FGF23) and αKlotho in Cancer.Frontiers in cell and developmental biology · 2020
    Review
  14. Review
  15. Article
  16. Expression of Fibroblast Growth Factor 5 (FGF5) and Its Influence on Survival of Breast Cancer Patients.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  17. Article
  18. Adding Mendelian randomization to a meta-analysis-a burgeoning opportunity.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Review
  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

8 authors at 2 institutions in 1 country.

Qing H MengDepartments of Laboratory Medicine.
Enping Xu
Michelle A T Hildebrandt
Dong Liang
Karen Lu
Yuanqing Ye
Elizabeth A Wagar
Xifeng Wu
Texas Southern University · USThe University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
TISSUE CULTURE FACILITY DVMT FOR HYPERTENSION, DIABETES, TOXICOLOGY &AIDS RESG12RR003045 · NCRR · TEXAS SOUTHERN UNIVERSITY · PI HAYES, BARBARA ELAINE · 1986 to 2011
$13.6M
Center for Biomedical and Health Research Excellence (CBHRE)G12MD007605 · NIMHD · TEXAS SOUTHERN UNIVERSITY · PI OYEKAN, ADEBAYO O., WILSON, BOBBY L · 2014 to 2018
$7.1M
NCI NIH HHS P30 CA016672NCRR NIH HHS G12 RR003045NIMHD NIH HHS G12 MD007605
6 · The paper itself

Abstract

backgroundThe fibroblast growth factor (FGF) and FGF receptor (FGFR) axis plays a critical role in tumorigenesis, but little is known of its influence in ovarian cancer. We sought to determine the association of genetic variants in the FGF pathway with risk, therapeutic response, and survival of patients with ovarian cancer.

methodsWe matched 339 non-Hispanic white ovarian cancer cases with 349 healthy controls and genotyped them for 183 single-nucleotide polymorphisms (SNPs) from 24 FGF (fibroblast growth factor) and FGFR (fibroblast growth factor receptor) genes. Genetic associations for the main effect, gene-gene interactions, and the cumulative effect were determined.

resultsMultiple SNPs in the FGF-FGFR axis were associated with an increased risk of ovarian cancer. In particular, FGF1 [fibroblast growth factor 1 (acidic)] SNP rs7727832 showed the most significant association with ovarian cancer (odds ratio, 2.27; 95% CI, 1.31-3.95). Ten SNPs were associated with a reduced risk of ovarian cancer. FGF18 (fibroblast growth factor 18) SNP rs3806929, FGF7 (fibroblast growth factor 7) SNP rs9920722, FGF23 (fibroblast growth factor 23) SNP rs12812339, and FGF5 (fibroblast growth factor 5) SNP rs3733336 were significantly associated with a favorable treatment response, with a reduction of risk of nonresponse of 40% to 60%. Eleven SNPs were significantly associated with overall survival. Of these SNPs, FGF23 rs7961824 was the most significantly associated with improved prognosis (hazard ratio, 0.55; 95% CI, 0.39-0.78) and was associated with significantly longer survival durations, compared with individuals with the common genotype at this locus (58.1 months vs. 38.0 months, P = 0.005). Survival tree analysis revealed FGF2 rs167428 as the primary factor contributing to overall survival.

conclusionsSignificant associations of genetic variants in the FGF pathway were associated with ovarian cancer risk, therapeutic response, and survival. The discovery of multiple SNPs in the FGF-FGFR pathway provides a molecular approach for risk assessment, monitoring therapeutic response, and prognosis.

Indexed as

Genetic VariationAntineoplastic AgentsBiomarkers, TumorFemaleFibroblast Growth Factor-23Fibroblast Growth FactorsGenotypeHumansMiddle AgedOvarian NeoplasmsReference StandardsRisk FactorsSignal TransductionTreatment OutcomeAntineoplastic AgentsBiomarkers, TumorFGF23 protein, humanFibroblast Growth Factor-23Fibroblast Growth Factors

Identifiers

PMID24146310
PMCPMC4437198
OpenAlexW2070741791

What OpenQuestion holds

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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.