Evidence map›Paper›PMID 29463216›Full record

SynthesisEnvironmental health and preventive medicine2018

Long non-coding RNA HOTAIR polymorphism and susceptibility to cancer: an updated meta-analysis.

Juan Li, Zhigang Cui, Hang Li, Xiaoting Lv, Min Gao, Zitai Yang, Yanhong Bi, Baosen Zhou, Zhihua Yin

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Environmental health and preventive medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Association of HOTAIR rs1899663 G>T Polymorphism with Colorectal Cancer in the Turkish Population: A Case-Control Study.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2022
    Article
  7. Association between HOTAIR Polymorphisms and Lymphoma.Asian Pacific journal of cancer prevention : APJCP · 2021
    Article
  8. Article
  9. Single Nucleotide Polymorphisms inFrontiers in oncology · 2021
    Article
  10. Article
  11. Impact of Long Non-Coding RNAJournal of clinical medicine · 2019
    Article
  12. 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

9 authors at 1 institution in 1 country.

Juan LiDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China.
Zhigang CuiSchool of Nursing, China Medical University, Shenyang, 110122, China.
Hang LiDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China.
Xiaoting LvDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China.
Min GaoDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China.
Zitai YangDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China.
Yanhong BiDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China.
Baosen ZhouDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China.
Zhihua YinDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China. zhyin@cmu.edu.cn.ORCID http://orcid.org/0000-0003-0850-680X
China Medical University · CN

Funding

Natural Science Foundation of Liaoning Province 201602870
6 · The paper itself

Abstract

backgroundAn increasing number of publications are drawing attention to the associations between six common polymorphisms in HOX transcript anti-sense RNA (HOTAIR) and the risk of cancers, while these results have been controversial and inconsistent. We conducted an up-to-date meta-analysis to pool eligible studies and to further explore the possible relationships between HOTAIR polymorphisms (rs920778, rs7958904, rs12826786, 4,759,314, rs874945, and rs1899663) and cancer risk.

methodsA systematic retrieval was conducted up to 1 July 2017 in the PubMed, Web of Science, and CNKI databases. Eighteen eligible publications including 45 case-control studies with 58,601subjects were enrolled for assessing the associations between the 6 polymorphisms in HOTAIR and cancer risk. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were analyzed to reveal the polymorphisms and susceptibility to cancer. All the statistical analyses were performed using STATA 11.0 software.

resultsThe pooled analyses detected significant associations between the rs920778 polymorphism and increased susceptibility to cancer in recessive, dominant, allelic, homozygous, and heterozygous models. For the rs7958904 polymorphism, we obtained the polymorphism significantly decreased susceptibility to overall cancer risk among five genetic models rather than recessive and homozygous models. For the rs12826786 polymorphism, we identified it significantly increased susceptibility to cancer risk in all genetic models rather than heterozygous models. However, no significant association was found between the rs1899663, rs874945, and rs4759314 polymorphisms and susceptibility of cancer.

conclusionThese findings of the meta-analysis suggest that HOTAIR polymorphism may contribute to cancer susceptibility.

Indexed as

GenotypePolymorphism, Single NucleotideGenetic Predisposition to DiseaseHumansNeoplasmsOdds RatioRisk FactorsRNA, Long NoncodingHOTAIR long untranslated RNA, humanRNA, Long NoncodingCancerHOTAIRLncRNAsPolymorphismSusceptibility

Identifiers

PMID29463216
PMCPMC5819648
OpenAlexW2789507308

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.