Evidence map›Paper›PMID 24746178›Full record

SynthesisBMC genetics2014

LAPTM4B polymorphism increases susceptibility to multiple cancers in Chinese populations: a meta-analysis.

Cuiju Mo, Yu Lu, Yan Deng, Jian Wang, Li Xie, Taijie Li, Yu He, Qiliu Peng, Xue Qin, Shan Li

Open access · diamondAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 2 institutions in 1 country.

Cuiju Mo
Yu Lu
Yan Deng
Jian Wang
Li Xie
Taijie Li
Yu He
Qiliu Peng
Xue Qin
Shan LiDepartment of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China. lis8858@126.com.
Guangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLysosome-associated protein transmembrane-4 beta (LAPTM4B) is a novel cancer-related gene. While recent studies have reported that the LAPTM4B polymorphism increased the susceptibility of several cancers, the results remain inconclusive. Therefore, we performed a meta-analysis to systematically summarize the possible association.

resultsThe meta-analysis was conducted based on 17 studies in Chinese populations, including 4160 cases and 4148 controls. The relevant studies were searched through electronic databases updated in November 2013. The strength of association between the LAPTM4B polymorphism and susceptibility to multiple cancers was assessed by odds ratio (OR) and 95% confidence interval (95% CI).The meta-analysis results suggested that the LAPTM4B polymorphism was significantly associated with overall susceptibility to multiple cancers in all genetic models (*2 vs. *1, OR = 1.53, 95% CI = 1.37-1.70; *2/2 vs. *1/1, OR = 2.18, 95% CI = 1.72-2.75; *2/1 vs.*1/1, OR = 1.62, 95% CI = 1.41-1.86; *2/1 + *2/2 vs. *1/1, OR = 1.70, 95% CI = 1.47-1.97; *2/2 vs. *2/1 + *1/1, OR = 1.76, 95% CI = 1.50-2.05). Further subgroup analysis revealed a significant association between the LAPTM4B polymorphism and cancer susceptibility in the subgroups stratified by control source, cancer type, histopathologic differentiation, and TNM stage.

conclusionsThis meta-analysis indicated that the LAPTM4B *2 allele was associated with increasing risk of multiple cancers, tumor initiation and development.

Indexed as

Genetic Predisposition to DiseasePolymorphism, GeneticAsian PeopleHumansMembrane ProteinsNeoplasmsOncogene ProteinsLAPTM4B protein, humanMembrane ProteinsOncogene Proteins

Identifiers

PMID24746178
PMCPMC4022328
OpenAlexW2066056637

What OpenQuestion holds

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LicenceCC BY
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.