Evidence map›Paper›PMID 25023404›Full record

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

Common polymorphism in the MMP-13 gene may contribute to the risk of human cancers: a meta-analysis.

Ping Gao, Jun-Lan Yang, Hong Zhao, Jun-Hao You, Yi Hu

RetractedAbstract readMeta-AnalysisRetracted Publication
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. It has been retracted, and should not be counted. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Selective regulation of Mmp13 by 1,25(OH)The Journal of steroid biochemistry and molecular biology · 2016
    Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Ping GaoDepartment of Oncology, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing, 100853, People's Republic of China.
Jun-Lan Yang
Hong Zhao
Jun-Hao You
Yi Hu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer was viewed to be driven by accumulating genetic abnormalities that generally include chromosomal abnormalities, mutations in tumor-suppressor genes, and oncogenes. The aim of this meta-analysis was to systematically summarize the possible associations between MMP-13 rs2252070 A>G variant and cancer risks. We systematically reviewed studies focusing on MMP-13 polymorphisms with human cancer susceptibility that were published before April 30, 2014. Relevant articles were identified through research of PubMed, Embase, Web of Science, Cochrane Library, CISCOM, CINAHL, Google Scholar, CBM, and CNKI databases. All analyses were calculated using the Version 12.0 STATA software. Odds ratios (OR) and 95 % confidence interval (95 % CI) were calculated. Eleven independent case-control studies were included in the meta-analysis, which involved 3,465 patients with cancers and 4,073 healthy controls. The results identified a positive association between rs2252070 A>G polymorphism and susceptibility to cancer under five genetic models (all P < 0.05). Ethnicity subgroup analysis implied that significant difference was detected for rs2252070 A>G polymorphism with increased risk of cancers among Asians and Caucasians in majority of the groups. Our findings suggest significant association for MMP-13 rs2252070 A>G to increased susceptibility to human cancer, especially in the progression of lung carcinoma.

Indexed as

Genetic Predisposition to DiseaseHumansMatrix Metalloproteinase 13NeoplasmsPolymorphism, Single NucleotideRisk FactorsMatrix Metalloproteinase 13MMP13 protein, human

Identifiers

What OpenQuestion holds

Textmetadata
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.