Evidence map›Paper›PMID 26834482›Full record

ArticleOncoTargets and therapy2016

Association between polymorphisms in selected inflammatory response genes and the risk of prostate cancer.

Jun Chen, Xue-Ming Ying, Xue-Ming Huang, Peng Huang, Shao-Cong Yan

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 27% 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, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
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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

5 authors at 3 institutions in 1 country.

Jun ChenDepartment of Oncology, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
Xue-Ming YingDepartment of Oncology, Jingdezhen City People's Hospital, Jingdezhen, People's Republic of China.
Xue-Ming HuangDepartment of Urology, Research Institute, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
Peng HuangThe Medical School of Nanchang University, School of Public Health, Nanchang, People's Republic of China.
Shao-Cong YanDepartment of Oncology, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
First Affiliated Hospital of Nanchang University · CNNanchang University · CNJingdezhen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammation represents an important event which facilitates prostate carcinogenesis. Genetic variations in inflammatory response genes could affect the level and function of the protein products, resulting in the differential prostate cancer risk among carriers of different variants. This study attempted to investigate the association of IL-4 rs2243250, IL-6 rs10499563, IL-8 rs4073, as well as NFKBIA rs2233406 and rs3138053 polymorphisms with prostate cancer risk in the Chinese population. Genotyping of the polymorphisms was performed by using polymerase chain reaction-restriction fragment length polymorphism technique on 439 prostate cancer patients and 524 controls, and the association of each polymorphic genotype with prostate cancer risk was evaluated by using logistic regression analysis based on allele, heterozygous, and homozygous comparison models, with adjustment to age and smoking status. We showed that the C allele of IL-4 rs2243250 polymorphism could increase prostate cancer risk (heterozygous comparison model: odds ratio [OR] =1.434, 95% confidence interval [CI] =1.092-1.881, P=0.009; homozygous comparison model: OR =2.301, 95% CI =1.402-3.775, P=0.001; allele comparison model: OR =1.509, 95% CI =1.228-1.853, P<0.001). On the other hand, the C allele of rs10499563 polymorphism could decrease prostate cancer risk (heterozygous comparison model: OR =0.694, 95% CI =0.525-0.918, P=0.010; homozygous comparison model: OR =0.499, 95% CI =0.269-0.926, P=0.028; allele comparison model: OR =0.692, 95% CI =0.553-0.867, P=0.001). No association was observed for the other polymorphisms. In conclusion, IL-4 rs2243250 and IL-6 rs10499563 polymorphisms could serve as potential predictive biomarkers for prostate cancer risk in the Chinese population.

Indexed as

biomarkersinflammationlogistic regressionpolymorphismsprostate neoplasm

Identifiers

PMID26834482
PMCPMC4716763
OpenAlexW2239590845

What OpenQuestion holds

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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.