Evidence map›Paper›PMID 31487124›Full record

ArticleMolecular genetics & genomic medicine2019

Association between ACYP2 polymorphisms and the risk of renal cell cancer.

Yuhe Wang, Yongtong Zhang, Yao Sun, Jiamin Wu, Junke Chang, Zichao Xiong, Fanglin Niu, Shanzhi Gu, Tianbo Jin

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2019. 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 38% 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, 7 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

9 authors at 4 institutions in 1 country.

Yuhe WangKey Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shaanxi, China.
Yongtong ZhangDepartment of Radiotherapy, Shaanxi Provincial Cancer Hospital, Xi'an, Shaanxi, China.
Yao SunKey Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi, China.
Jiamin WuKey Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi, China.
Junke ChangXi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Zichao XiongKey Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi, China.
Fanglin NiuKey Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi, China.
Shanzhi GuThe Key Laboratory of Health Ministry for Forensic Science, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID 0000-0002-6603-7792
Tianbo JinKey Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shaanxi, China.ORCID 0000-0003-4565-2240
Northwest University · CNXi'an Jiaotong University · CNXizang Minzu University · CNShanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKidney cancer is the predominant form of malignancy of the kidney and accounts for approximately 3%-4% of all cancers. Renal cell cancer (RCC) represents more than 85% of kidney cancer. It has been reported that genetic factors may predispose individuals to RCC. This study evaluated the association between Acylphosphatase 2 (ACYP2) gene polymorphisms and RCC risk in the Han Chinese population.

methodsTwelve single-nucleotide polymorphisms (SNPs) in ACYP2 were genotyped using the Agena MassARRAY platform from 293 RCC patients and 495 controls. The Chi-squared test, genetic models, haplotype, and stratification analyses were used to evaluate the association between SNPs and the risk of RCC. The relative risk was estimated using the odds ratio (OR) and 95% confidence interval (CI).

resultsWe observed that the rs6713088 allele G (OR = 1.26, 95% CI: 1.03-1.53, p = .023) and rs843711 allele T (OR = 1.29, 95% CI: 1.06-1.57, p = .010) were associated with increased RCC risk. Genetic model analyses found that rs843711 was significantly associated with an increased RCC risk under the recessive model and log-additive model after adjusting for age and gender. Haplotype analysis showed that the haplotype "TTCTCGCC" (OR = 0.67, 95% CI: 0.48-0.94, p = .021) was associated with a decreased risk of RCC in the Han Chinese population. Stratification analysis also found that rs6713088 and rs843711 were significantly associated with increased RCC risk.

conclusionIn summary, the results suggested that ACYP2 polymorphisms could be used as a genetic marker for RCC. Additional functional and association studies are required to validate our results.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAcid Anhydride HydrolasesAcylphosphataseCarcinoma, Renal CellCase-Control StudiesFemaleFollow-Up StudiesGenetic Association StudiesGenotypeHaplotypesHumansKidney NeoplasmsMaleMiddle AgedRisk FactorsAcid Anhydride HydrolasesAcylphosphataseACYP2 protein, humanACYP2case-controlChinese Hanpolymorphismrenal cell cancer

Identifiers

PMID31487124
PMCPMC6825851
OpenAlexW2971787321

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.