Evidence map›Paper›PMID 28674394›Full record

ArticleScientific reports2017

Genetic association analysis of the RTK/ERK pathway with aggressive prostate cancer highlights the potential role of CCND2 in disease progression.

Yang Chen, Qin Zhang, Qiuyan Wang, Jie Li, Csilla Sipeky, Jihan Xia, Ping Gao, Yanling Hu, Haiying Zhang, Xiaobo Yang and 13 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 20 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

23 authors at 6 institutions in 4 countries.

Yang ChenCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Qin ZhangBiocenter Oulu, University of Oulu, Oulu, Finland.
Qiuyan WangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Jie LiCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Csilla SipekyDepartment of Medical Biochemistry and Genetics, University of Turku, Turku, Finland.
Jihan XiaBiocenter Oulu, University of Oulu, Oulu, Finland.
Ping GaoBiocenter Oulu, University of Oulu, Oulu, Finland.
Yanling HuCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Haiying ZhangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Xiaobo YangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Haitao ChenProgram for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois, USA.
Yonghua JiangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Yuehong YangBiocenter Oulu, University of Oulu, Oulu, Finland.
Ziting YaoCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Yinchun ChenCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Yong GaoCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Aihua TanCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Ming LiaoCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Johanna SchleutkerDepartment of Medical Biochemistry and Genetics, University of Turku, Turku, Finland.ORCID 0000-0002-1863-0305
Jianfeng XuCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Yinghao SunDepartment of Urology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China.
Gong-Hong WeiBiocenter Oulu, University of Oulu, Oulu, Finland. gonghong.wei@oulu.fi.
Zengnan MoCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China. zengnanmo@hotmail.com.
Guangxi Medical University · CNUniversity of Oulu · FINorthShore University HealthSystem · USUniversity of Turku · FIOulu University of Applied Sciences · FISecond Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The RTK/ERK signaling pathway has been implicated in prostate cancer progression. However, the genetic relevance of this pathway to aggressive prostate cancer at the SNP level remains undefined. Here we performed a SNP and gene-based association analysis of the RTK/ERK pathway with aggressive prostate cancer in a cohort comprising 956 aggressive and 347 non-aggressive cases. We identified several loci including rs3217869/CCND2 within the pathway shown to be significantly associated with aggressive prostate cancer. Our functional analysis revealed a statistically significant relationship between rs3217869 risk genotype and decreased CCND2 expression levels in a collection of 119 prostate cancer patient samples. Reduced expression of CCND2 promoted cell proliferation and its overexpression inhibited cell growth of prostate cancer. Strikingly, CCND2 downregulation was consistently observed in the advanced prostate cancer in 18 available clinical data sets with a total amount of 1,095 prostate samples. Furthermore, the lower expression levels of CCND2 markedly correlated with prostate tumor progression to high Gleason score and elevated PSA levels, and served as an independent predictor of biochemical relapse and overall survival in a large cohort of prostate cancer patients. Together, we have identified an association of genetic variants and genes in the RTK/ERK pathway with prostate cancer aggressiveness, and highlighted the potential importance of CCND2 in prostate cancer susceptibility and tumor progression to metastasis.

Indexed as

Genetic VariationMAP Kinase Signaling SystemBiomarkersCell Line, TumorCyclin D2Disease ProgressionGene Expression Regulation, NeoplasticGenetic Association StudiesHumansMaleNeoplasm GradingNeoplasm StagingPolymorphism, Single NucleotidePrognosisProstatic NeoplasmsSurvival AnalysisBiomarkersCCND2 protein, humanCyclin D2

Identifiers

PMID28674394
PMCPMC5495790
OpenAlexW2731705244

What OpenQuestion holds

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LicenceCC BY
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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.