Evidence map›Paper›PMID 24383053›Full record

ArticleBioMed research international2013

Genetic variations of α -methylacyl-CoA racemase are associated with sporadic prostate cancer risk in ethnically homogenous Koreans.

Sang-Jin Lee, Jae Young Joung, Hyekyoung Yoon, Jeong Eun Kim, Weon Seo Park, Ho Kyung Seo, Jinsoo Chung, Jung-Ah Hwang, Seung-Hyun Hong, Seungyoon Nam and 4 more

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2013. 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
0.2field-weighted citation impact, top 36% 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, 4 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

14 authors at 2 institutions in 1 country.

Sang-Jin LeeGenitourinary Cancer Branch, National Cancer Center, Goyang 410-769, Republic of Korea.
Jae Young JoungCenter for Prostate Cancer, National Cancer Center, 111 Jungbalsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do 410-769, Republic of Korea.
Hyekyoung YoonCancer Biostatistics Branch, National Cancer Center, Goyang 410-769, Republic of Korea.
Jeong Eun KimCenter for Prostate Cancer, National Cancer Center, 111 Jungbalsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do 410-769, Republic of Korea.
Weon Seo ParkCenter for Prostate Cancer, National Cancer Center, 111 Jungbalsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do 410-769, Republic of Korea.
Ho Kyung SeoCenter for Prostate Cancer, National Cancer Center, 111 Jungbalsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do 410-769, Republic of Korea.
Jinsoo ChungCenter for Prostate Cancer, National Cancer Center, 111 Jungbalsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do 410-769, Republic of Korea.
Jung-Ah HwangCancer Genomics Branch, National Cancer Center, 111 Jungbalsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do 410-769, Republic of Korea.
Seung-Hyun HongCancer Genomics Branch, National Cancer Center, 111 Jungbalsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do 410-769, Republic of Korea.
Seungyoon NamCancer Genomics Branch, National Cancer Center, 111 Jungbalsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do 410-769, Republic of Korea.
Sohee ParkCancer Biostatistics Branch, National Cancer Center, Goyang 410-769, Republic of Korea.
Jeongseon KimMolecular Epidemiology Branch, National Cancer Center, Goyang 410-769, Republic of Korea ; Department of Biostatistics, Graduate School of Public Health, Yonsei University, Seoul 120-752, Republic of Korea.
Kang Hyun LeeCenter for Prostate Cancer, National Cancer Center, 111 Jungbalsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do 410-769, Republic of Korea.
Yeon-Su LeeCancer Genomics Branch, National Cancer Center, 111 Jungbalsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do 410-769, Republic of Korea.
National Cancer Center · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo assess if the variants of (R)-alpha-methyl-CoA racemase (AMACR) gene would be associated with the risk of sporadic prostate cancer in ethnically homogenous Koreans. MATERIALS AND

methodsWe enrolled 194 patients with prostate cancer and 169 healthy controls. A total of 17 single nucleotide polymorphisms of the AMACR gene were selected. The distribution of each genotype and haplotype was analyzed and their association with the incidence of prostate cancer was evaluated. Further, we detected AMACR expression in tumor with immunohistochemistry and analyzed its association with genotype regarding prostate cancer risk.

resultsAG or GG genotype of rs2278008 (E277K) tended to lower prostate cancer risk. The minor G allele was found to be a significant allele that decreased the risk of prostate cancer (adjusted OR, 0.57; 95% CI, 0.35-0.93, P value = 0.025). In patients expression AMACR, AG or GG genotype was also significant genotype in terms of prostate cancer risk (adjusted OR, 0.47; 95% CI, 0.26-0.87, P value = 0.017). Further, [GGCGG] haplotype consisted of five coding SNPs of rs2278008, rs34677, rs2287939, rs10941112, and rs3195676 which decreased the risk of prostate cancer (P value = 0.047).

conclusionsGenetic variations of AMACR are associated with the risk of sporadic prostate cancer that underwent radical prostatectomy in Koreans.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseAgedAllelesAsian PeopleGene Expression Regulation, NeoplasticGenotypeHaplotypesHumansMaleMiddle AgedPolymorphism, Single NucleotideProstatectomyProstatic NeoplasmsRacemases and EpimerasesRisk Factorsalpha-methylacyl-CoA racemaseRacemases and Epimerases

Identifiers

PMID24383053
PMCPMC3870614
OpenAlexW2097578441

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.