Evidence map›Paper›PMID 21439054›Full record

ArticleBMC medical genetics2011

Pituitary tumor transforming gene-1 haplotypes and risk of pituitary adenoma: a case-control study.

Shuai Chen, Lan Xiao, Zhixiong Liu, Jinfang Liu, Yunsheng Liu

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2011. 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
0.8field-weighted citation impact, top 27% 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

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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. AreFrontiers in endocrinology · 2025
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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

5 authors at 2 institutions in 1 country.

Shuai ChenGamma Knife Treatment and Research Center, Xiangya Hospital, Central South University, Changsha, 410008 PR China.
Lan Xiao
Zhixiong Liu
Jinfang Liu
Yunsheng Liu
Central South University · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt has been suggested that pituitary adenoma results from accumulation of multiple genetic and/or epigenetic aberrations, which may be identified through association studies. As pituitary tumor transforming gene-1 (PTTG1)/securin plays a critical role in promoting genomic instability in pituitary neoplasia, the present study explored the association of PTTG1 haplotypes with the risk of pituitary adenoma.

methodsWe genotyped five PTTG1 haplotype-tagging SNPs (htSNP) by PCR-RFLP assays in a case-control study, which included 280 Han Chinese patients diagnosed with pituitary adenoma and 280 age-, gender- and geographically matched Han Chinese controls. Haplotypes were reconstructed according to the genotyping data and linkage disequilibrium status of the htSNPs.

resultsNo significant differences in allele and genotype frequencies of the htSNPs were observed between pituitary adenoma patients and controls, indicating that none of the individual PTTG1 SNPs examined in this study is associated with the risk of pituitary adenoma. In addition, no significant association was detected between the reconstructed PTTG1 haplotypes and pituitary adenoma cases or the controls.

conclusionsThough no significant association was found between PTTG1 haplotypes and the risk of pituitary adenoma, this is the first report on the association of individual PTTG1 SNPs or PTTG1 haplotypes with the risk of pituitary adenoma based on a solid study; it will provide an important reference for future studies on the association between genetic alterations in PTTG1 and the risk of pituitary adenoma or other tumors.

Indexed as

Polymorphism, Single NucleotideAdenomaAdultAgedAsian PeopleCase-Control StudiesChinaFemaleHaplotypesHumansLinkage DisequilibriumMaleMiddle AgedNeoplasm ProteinsPituitary NeoplasmsRisk AssessmentNeoplasm Proteinspituitary tumor-transforming protein 1, humanSecurin

Identifiers

PMID21439054
PMCPMC3078851
OpenAlexW2106735147

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Registered trials

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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.