Evidence map›Paper›PMID 22181854›Full record

ReviewCancer science2012

Prostate cancer genomics, biology, and risk assessment through genome-wide association studies.

Hidewaki Nakagawa, Shusuke Akamatsu, Ryo Takata, Atsushi Takahashi, Michiaki Kubo, Yusuke Nakamura

Abstract readReview
In one paragraph

Review in Cancer science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. The Sca-1Stem cells (Dayton, Ohio) · 2020
    Article
  7. Article
  8. Review
  9. Article
  10. FAM84B promotes prostate tumorigenesis through a network alteration.Therapeutic advances in medical oncology · 2019
    Article
  11. Article
  12. Article
  13. Germline BRCA mutation in male carriers-ripe for precision oncology?Prostate cancer and prostatic diseases · 2018
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Regulators of gene expression as biomarkers for prostate cancer.American journal of cancer research · 2012
    Article
  20. 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

6 authors.

Hidewaki NakagawaLaboratory for Biomarker Development, Center for Genomic Medicine, RIKEN, Yokohama, Japan. hidewaki@ims.u-tokyo.ac.jp
Shusuke Akamatsu
Ryo Takata
Atsushi Takahashi
Michiaki Kubo
Yusuke Nakamura

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PC) is the most common malignancy observed in men. It is evident that genetic factors play some important roles in PC etiology. Recently, genome-wide association studies in diverse ethnic groups have identified more than 40 germline variants of various genes or chromosomal loci that are significantly associated with PC susceptibility, including multiple 8q24 loci, prostate-specific genes, metabolic and hormone-related genes, and many regions where no coding gene is annotated. However, there are only a few variants or genes for which biological significance or functions have been elucidated so far. The greatest challenge related to genome-wide association studies loci in prostate genomics is to understand the functional consequences of these PC-associated loci and their involvement in PC biology and carcinogenesis. There have been attempts to determine PC risk estimations by combining multiple PC-associated variants for clinical tests, and these can identify a very minor population with high risk of PC. However, they cannot distinguish risk of aggressive PC from that of non-aggressive PC. Further identification of PC-susceptibility loci in larger genome-wide association studies cohorts and biological insights gained from such functional analyses have the potential to translate into clinical benefits, including the development of reliable biomarkers, risk estimation, and effective strategies for screening and prevention of PC.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyChromosomes, Human, Pair 8GenotypeHumansMalePolymorphism, Single NucleotideProstate-Specific AntigenProstatic NeoplasmsRisk AssessmentTestosteroneProstate-Specific AntigenTestosterone

Identifiers

PMID22181854
PMCPMC7659324

What OpenQuestion holds

Textmetadata
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.