Evidence map›Paper›PMID 28423658›Full record

ArticleOncotarget2017

Correlation between polymorphisms in microRNA-regulated genes and cervical cancer susceptibility in a Xinjiang Uygur population.

Jing Fang, Ying Li, Jiayi Zhang, Mengdan Yan, Jingjie Li, Shan Bao, Tianbo Jin

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. 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
0.9field-weighted citation impact, top 30% 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, 18 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Jing FangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China.
Ying LiDepartment of Radiology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, Shaanxi 710077, China.
Jiayi ZhangKey Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.
Mengdan YanKey Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.
Jingjie LiKey Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.
Shan BaoClinic of Gynecology and Obstetrics, Hainan Provincial People's Hospital, Haikou 570102, China.
Tianbo JinKey Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.
Northwest University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CNHainan Provincial Hospital of Traditional Chinese Medicine · CNXi'an Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We explored the correlation between single nucleotide polymorphisms (SNPs) and susceptibility to cervical cancer (CC) in a Xinjiang Uygur population. Ten SNPs in eight miRNA-regulated genes were selected for analysis. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated using unconditional logistic regression analysis. Multivariate logistic regression analysis was used to detect correlations between SNPs and CC. We found that minor allele "C" of rs512715 in NEAT1 was associated with an increased risk of CC in the allele, codominant, dominant, overdominant and log-additive models. Minor allele "C" of rs4777498 in CELF6 was associated with an increased risk of CC in the recessive model. Minor allele "C" of rs3094 in RNASE4 was associated with increased risk of CC in the allele, dominant and log-additive models. In clinical stage III/IV CC patients, minor allele "C" of rs3094 in RNASE4 and minor allele "C" of rs8004334 in JDP2 were associated with increased risk. In subtype squamous carcinoma CC patients, minor allele "C" of rs512715 in NEAT1 and minor allele "C" of rs3094 in RNASE4 were associated with increased risk. In subtype adenocarcinoma CC patients, minor allele "C" of rs3094 in RNASE was associated with increased risk.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseasePolymorphism, Single NucleotideAllelesChinaFemaleGenotypeHumansMicroRNAsOdds RatioRiskUterine Cervical NeoplasmsMicroRNAsassociation studycervical cancerMicroRNA genesingle nucleotide polymorphisms (SNPs)

Identifiers

PMID28423658
PMCPMC5458245
OpenAlexW2593682592

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.