Evidence map›Paper›PMID 24837368›Full record

ReviewOncogene2015

Prostate cancer epigenetic biomarkers: next-generation technologies.

F Valdés-Mora, S J Clark

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Oncogene, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Review
  5. Prostate cancer in omics era.Cancer cell international · 2022
    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

2 authors at 1 institution in 1 country.

F Valdés-Mora1] Epigenetics Laboratory, Cancer Research Division Cancer Research Program and The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, NSW, Australia [2] St Vincent's Clinical School, St Vincent's Hospital and University of New South Wales, Darlinghurst, NSW, Australia.
S J Clark1] Epigenetics Laboratory, Cancer Research Division Cancer Research Program and The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, NSW, Australia [2] St Vincent's Clinical School, St Vincent's Hospital and University of New South Wales, Darlinghurst, NSW, Australia.
UNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is caused by a combination of genetic alterations and gross changes to the epigenetic landscape that together result in aberrant cancer gene regulation. Therefore, we need to fully sequence both the cancer genome and the matching cancer epigenomes before we can fully integrate the suite of molecular mechanisms involved in initiation and progression of cancer. A further understanding of epigenetic aberrations has a great potential in the next era of molecular genomic pathology in cancer detection and treatment in all types of cancer, including prostate cancer. In this review, we discuss the most common epigenetic aberrations identified in prostate cancer with the biomarker potential. We also describe the innovative and current epigenomic technologies used for the identification of epigenetic-associated changes in prostate cancer and future translational applications in molecular pathology for cancer detection and prognosis.

Indexed as

Epigenesis, Genetic5-MethylcytosineBiomarkersDNA MethylationHigh-Throughput Nucleotide SequencingHistonesHumansMaleMicroRNAsProstatic Neoplasms5-MethylcytosineBiomarkersHistonesMicroRNAs

Identifiers

PMID24837368
OpenAlexW1981338672

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.