Evidence map›Paper›PMID 21900597›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2011

The impact of common genetic variations in genes of the sex hormone metabolic pathways on steroid hormone levels and prostate cancer aggressiveness.

Tong Sun, William K Oh, Susanna Jacobus, Meredith Regan, Mark Pomerantz, Matthew L Freedman, Gwo-Shu Mary Lee, Philip W Kantoff

Open access · bronzeAbstract read
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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  6. Article
  7. Article
  8. Article
  9. Review
  10. Molecular basis for prostate cancer racial disparities.Frontiers in bioscience (Landmark edition) · 2017
    Review
  11. Article
  12. Review
  13. Article
  14. Observational
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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

8 authors at 2 institutions in 1 country.

Tong SunDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA.
William K Oh
Susanna Jacobus
Meredith Regan
Mark Pomerantz
Matthew L Freedman
Gwo-Shu Mary Lee
Philip W Kantoff
Dana-Farber Cancer Institute · USHarvard University · US

Funding

Tumor and Circulating Markers as Links Between Obesity and Lethal Prostate CanceP50CA090381 · NCI · DANA-FARBER CANCER INSTITUTE · PI LODA, MASSIMO · 2002 to 2017
$36.2M
NCI NIH HHS 2 P50 CA090381-06NCI NIH HHS P50 CA090381
6 · The paper itself

Abstract

Our previous work suggested that there was no significant association between plasma steroid hormone levels and prostate cancer tumor grade at diagnosis. In this study, we systematically tested the hypothesis that inherited variations in the androgen and estrogen metabolic pathways may be associated with plasma levels of steroid hormones, or prostate cancer aggressiveness at diagnosis. Plasma hormone levels including total testosterone, total estradiol, and sex hormone-binding globulin were measured in a cohort of 508 patients identified with localized prostate cancer. D'Amico risk classification at diagnosis was also determined. A total of 143 single-nucleotide polymorphisms (SNPs) from 30 genes that are involved in androgen and estrogen metabolism were selected for analysis. The global association of genotypes with plasma hormone levels and prostate cancer aggressiveness (D'Amico risk classification) was statistically analyzed. Q values were estimated to account for multiple testing. We observed significant associations between plasma testosterone level and SNPs in HSD17B2 (rs1424151), HSD17B3 (rs9409407), and HSD17B1 (rs12602084), with P values of 0.002, 0.006, and 0.006, respectively. We also observed borderline significant associations between prostate aggressiveness at diagnosis and SNPs in AKR1C1 (rs11252845; P = 0.005), UGT2B15 (rs2045100; P = 0.007), and HSD17B12 (rs7932905; P = 0.008). No individual SNP was associated with both clinical variables. Genetic variants of genes in hormone metabolic pathways may influence plasma androgen levels or prostate cancer aggressiveness. However, it seems that the inherited variations affecting plasma hormone levels differ from those affecting disease aggressiveness.

Indexed as

AgedAndrogensCohort StudiesEstradiol DehydrogenasesGenetic Predisposition to DiseaseGenotypeGonadal Steroid HormonesHaplotypesHumansMaleMetabolic Networks and PathwaysMiddle AgedPolymorphism, Single NucleotidePrognosisProstatic NeoplasmsSex Hormone-Binding GlobulinAndrogensEstradiol DehydrogenasesGonadal Steroid HormonesHSD17B1 protein, humanHSD17B2 protein, humanSex Hormone-Binding GlobulinTestosterone

Identifiers

PMID21900597
PMCPMC3773969
OpenAlexW2124906779

What OpenQuestion holds

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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.