Evidence map›Paper›PMID 22844442›Full record

ArticlePloS one2012

Genetic variants in CASP3, BMP5, and IRS2 genes may influence survival in prostate cancer patients receiving androgen-deprivation therapy.

Shu-Pin Huang, Bo-Ying Bao, Tzyh-Chyuan Hour, Chao-Yuan Huang, Chia-Cheng Yu, Chia-Chu Liu, Yung-Chin Lee, Chun-Nung Huang, Jiunn-Bey Pao, Chun-Hsiung Huang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Genetic variation: effect on prostate cancer.Biochimica et biophysica acta · 2014
    Review
  9. Review
  10. Article
  11. 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

10 authors at 6 institutions in 1 country.

Shu-Pin HuangDepartment of Urology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan. shpihu@yahoo.com.tw
Bo-Ying Bao
Tzyh-Chyuan Hour
Chao-Yuan Huang
Chia-Cheng Yu
Chia-Chu Liu
Yung-Chin Lee
Chun-Nung Huang
Jiunn-Bey Pao
Chun-Hsiung Huang
Kaohsiung Medical University · TWKaohsiung Medical University Chung-Ho Memorial Hospital · TWNational Taiwan University Hospital · TWChina Medical University · TWKaohsiung Veterans General Hospital · TWTaipei City Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several genome-wide association studies (GWAS) have been conducted to identify the common single nucleotide polymorphisms (SNPs) that influence the risk of prostate cancer. It was hypothesized that some prostate cancer-associated SNPs might relate to the clinical outcomes in patients treated for prostate cancer using androgen-deprivation therapy (ADT). A cohort of 601 patients who have received ADT for prostate cancer was genotyped for 29 SNPs that have been associated with prostate cancer in Cancer Genetic Markers of Susceptibility GWAS, and within the genes that have been implicated in cancer. Prognostic significance of these SNPs on the disease progression, prostate cancer-specific mortality (PCSM) and all-cause mortality (ACM) after ADT were assessed by Kaplan-Meier analysis and Cox regression model. Three SNPs, namely CASP3 rs4862396, BMP5 rs3734444 and IRS2 rs7986346, were found to be closely associated with the ACM (P≤0.042), and BMP5 rs3734444 and IRS2 rs7986346 were also noted to be significantly related to the PCSM (P≤0.032) after adjusting for the known clinicopathologic predictors. Moreover, patients carrying a greater number of unfavorable genotypes at the loci of interest had a shorter time to ACM and PCSM during ADT (P for trend <0.001). Our results suggest that CASP3 rs4862396, BMP5 rs3734444 and IRS2 rs7986346 may affect the survival in patients after ADT for prostate cancer, and the analysis of these SNPs can help identify patients at higher risk of poor outcome.

Indexed as

Polymorphism, Single NucleotideAndrogensBone Morphogenetic Protein 5Caspase 3Cohort StudiesDisease ProgressionGenetic LociGenetic Predisposition to DiseaseHumansInsulin Receptor Substrate ProteinsMalePrognosisProstatic NeoplasmsSurvival AnalysisAndrogensBMP5 protein, humanBone Morphogenetic Protein 5Caspase 3Insulin Receptor Substrate ProteinsIRS2 protein, human

Identifiers

PMID22844442
PMCPMC3402522
OpenAlexW2058957458

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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.