Evidence map›Paper›PMID 24197980›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Progesterone receptor PROGINS and +331G/A polymorphisms confer susceptibility to ovarian cancer: a meta-analysis based on 17 studies.

Ting Liu, Lilan Chen, Xiangjun Sun, You Wang, Shu Li, Xia Yin, Xinran Wang, Chenhuan Ding, He Li, Wen Di

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. The Neandertal Progesterone Receptor.Molecular biology and evolution · 2020
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. 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

10 authors at 1 institution in 1 country.

Ting LiuDepartment of Gynecology and Obstetrics, Renji Hospital, Shanghai Jiaotong University School of Medicine, Dongfang Road No. 1630, Shanghai, 200127, People's Republic of China.
Lilan Chen
Xiangjun Sun
You Wang
Shu Li
Xia Yin
Xinran Wang
Chenhuan Ding
He Li
Wen Di
Renji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Progesterone and its receptor, progesterone receptor (PGR), have been widely studied for their roles in the onset and development of ovarian cancer. Although numerous epidemiological studies have focused on the association of PGR PROGINS and +331G/A polymorphisms with ovarian cancer susceptibility, presently, available results remain controversial, in part due to low sample sizes. Thus, a meta-analysis is required to evaluate this association. A literature search of PubMed, Embase, Web of Science, CNKI, and CBM databases was performed to retrieve eligible studies published before August 15, 2013. Summary odds ratios (ORs) with 95% confidence intervals (CIs) were used to evaluate the strength of this association. All analyses were done using STATA 12.0 software (Stata Corp., College Station, TX, USA). Seventeen case-control studies with a total of 6,365 cases and 9,998 controls were identified. While no statistically significant association between the PROGINS allele and ovarian cancer risk was found in an overall analysis, a stratified analysis revealed that for Caucasians, never-oral contraceptive (OC) users, and serous tumor patients, there were statistically significant ORs for ovarian cancer risk associated with the mutated PROGINS allele. No significant association, however, between the +331G/A polymorphism and ovarian cancer susceptibility was observed in the overall analyses and subgroup analyses based on ethnicity and histological type. This meta-analysis provides evidence that the PROGINS allele occurs more frequently in ovarian cancer patients and especially in non-OC users and serous cancer patients, indicating that PROGINS may be a risk modifier. No significant association between the +331G/A polymorphism and ovarian cancer was found, even in stratified analyses by ethnicity and histological type. More detailed and well-designed studies are still needed to confirm the role of the PROGINS allele in ovarian cancer development.

Indexed as

Case-Control StudiesFemaleGenetic Predisposition to DiseaseGenotypeHumansOdds RatioOvarian NeoplasmsPolymorphism, Single NucleotideReceptors, ProgesteroneRisk FactorsReceptors, Progesterone

Identifiers

PMID24197980
OpenAlexW2106976783

What OpenQuestion holds

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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.