Evidence map›Paper›PMID 23564043›Full record

ReviewAsian journal of andrology2013

Genetics and genomics of prostate cancer.

Michael Dean, Hong Lou

Abstract readReview
In one paragraph

Review in Asian journal of andrology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. [Molecules (Basel, Switzerland) · 2022
    Article
  6. Review
  7. Review
  8. Article
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  14. Review
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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

2 authors.

Michael DeanCancer and Inflammation Program, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, USA. deanm@mail.nih.gov
Hong Lou

Funding

LICI Microbiome and Genetics CoreZICBC011237 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI OHUIGIN, COLM · 2009 to 2025
$28.3M
CANCER AND INFLAMMATION GENETICSZIABC011300 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI DEAN, MICHAEL · 2010 to 2015
$5.8M
Intramural NIH HHS
6 · The paper itself

Abstract

Prostate cancer (PCa) is one of the most common malignancies in the world with over 890 000 cases and over 258 000 deaths worldwide each year. Nearly all mortalities from PCa are due to metastatic disease, typically through tumors that evolve to be hormone-refractory or castrate-resistant. Despite intensive epidemiological study, there are few known environmental risk factors, and age and family history are the major determinants. However, there is extreme heterogeneity in PCa incidence worldwide, suggesting that major determining factors have not been described. Genome-wide association studies have been performed and a considerable number of significant, but low-risk loci have been identified. In addition, several groups have analyzed PCa by determination of genomic copy number, fusion gene generation and targeted resequencing of candidate genes, as well as exome and whole genome sequencing. These initial studies have examined both primary and metastatic tumors as well as murine xenografts and identified somatic alterations in TP53 and other potential driver genes, and the disturbance of androgen response and cell cycle pathways. It is hoped that continued characterization of risk factors as well as gene mutation and misregulation in tumors will aid in understanding, diagnosing and better treating PCa.

Indexed as

GenomeMutationGenome-Wide Association StudyHumansMaleProstatic NeoplasmsRacial GroupsRisk Factors

Identifiers

PMID23564043
PMCPMC3739637

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.