Evidence map›Paper›PMID 27010768›Full record

SynthesisPloS one2016

Quantitative Assessment of the Polymorphisms in the HOTAIR lncRNA and Cancer Risk: A Meta-Analysis of 8 Case-Control Studies.

Tian Tian, Chunjian Li, Jing Xiao, Yi Shen, Yihua Lu, Liying Jiang, Xun Zhuang, Minjie Chu

Open access · goldAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 4 pooled it
1.8field-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

17 citing papers in PubMed, 4 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Association BetweenGenetics research · 2025
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  11. Single Nucleotide Polymorphisms inFrontiers in oncology · 2021
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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

8 authors at 1 institution in 1 country.

Tian TianDepartment of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Chunjian LiAnalysis and Testing Center of Nantong University, Nantong, Jiangsu, China.
Jing XiaoDepartment of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Yi ShenDepartment of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Yihua LuDepartment of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Liying JiangDepartment of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Xun ZhuangDepartment of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Minjie ChuDepartment of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HOX transcript antisense intergenic RNA (HOTAIR) is a long non-coding RNA (lncRNA) that functions as an oncogenic molecule in different cancer cells. Genetic variants of HOTAIR may affect the activity of certain regulatory factors and further regulate the aberrant expression of HOTAIR, which might be underlying mechanisms that affect tumour susceptibility and prognosis. Recently, several studies have been performed to examine the possible link between polymorphisms in HOTAIR and cancer risk; however, the results have been inconclusive. Therefore, we performed a meta-analysis to estimate the associations between HOTAIR polymorphisms (rs920778, rs4759314 and rs1899663) and cancer risk. Eight studies comprising 7,151 cases and 8,740 controls were included in our study. Overall, no significant associations between the HOTAIR polymorphisms (rs920778, rs4759314 and rs1899663) and cancer risk were observed. However, in further stratified analyses, the variant T allele of rs920778 exhibited a significant increased risk of developing digestive cancers (dominant model: OR = 1.44; 95% CI = 1.31-1.59). These findings provided evidence that HOTAIR rs920778 may modify the susceptibility to certain cancer types. Further studies incorporating subjects with different ethnic backgrounds combined with re-sequencing of the marked region and functional evaluations are warranted.

Indexed as

Genetic Predisposition to DiseaseAllelesGene Expression Regulation, NeoplasticGenetic Association StudiesHumansNeoplasmsPolymorphism, Single NucleotidePrognosisRisk FactorsRNA, Long NoncodingHOTAIR long untranslated RNA, humanRNA, Long Noncoding

Identifiers

PMID27010768
PMCPMC4806879
OpenAlexW2303429127

What OpenQuestion holds

Textmetadata
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.