Evidence map›Paper›PMID 24179382›Full record

ReviewBiomarkers in cancer2010

Promoter methylation in prostate cancer and its application for the early detection of prostate cancer using serum and urine samples.

Hafiz Ahmed

Abstract readReview
In one paragraph

Review in Biomarkers in cancer, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. CLINICAL EVALUATION OF AN EPIGENETIC ASSAY TO PREDICT MISSED CANCER IN PROSTATE BIOPSY SPECIMENS.Transactions of the American Clinical and Climatological Association · 2016
    Pooled it
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  9. Molecules (Basel, Switzerland) · 2021
    Article
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  11. Developing DNA methylation-based diagnostic biomarkers.Journal of genetics and genomics = Yi chuan xue bao · 2018
    Review
  12. Article
  13. Long Non-Coding RNAs Serve as Diagnostic Biomarkers of Preeclampsia and Modulate Migration and Invasiveness of Trophoblast Cells.Medical science monitor : international medical journal of experimental and clinical research · 2018
    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

1 author.

Hafiz AhmedDepartment of Biochemistry and Molecular Biology, Program in Oncology, Greenebaum Cancer Center, University of Maryland School of Medicine, Baltimore, MD 21201, USA .

Funding

Methylated Galectin-3 DNA as a Marker for Early Diagnosis of Prostate CancerR03CA133935 · NCI · UNIVERSITY OF MD BIOTECHNOLOGY INSTITUTE · PI AHMED, HAFIZ · 2009 to 2010
$150k
NCI NIH HHS R03 CA133935
6 · The paper itself

Abstract

Prostate cancer is the second most common cancer and the second leading cause of cancer death in men. However, prostate cancer can be effectively treated and cured, if it is diagnosed in its early stages when the tumor is still confined to the prostate. Combined with the digital rectal examination, the PSA test has been widely used to detect prostate cancer. But, the PSA screening method for early detection of prostate cancer is not reliable due to the high prevalence of false positive and false negative results. Epigenetic alterations including hypermethylation of gene promoters are believed to be the early events in neoplastic progression and thus these methylated genes can serve as biomarkers for the detection of cancer from clinical specimens. This review discusses DNA methylation of several gene promoters during prostate carcinogenesis and evaluates the usefulness of monitoring methylated DNA sequences, such as GSTP1, RASSF1A, RARβ2 and galectin-3, for early detection of prostate cancer in tissue biopsies, serum and urine.

Indexed as

DNA methylationearly detectiongal3GSTP1prostate cancer

Identifiers

PMID24179382
PMCPMC2908742

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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.