Evidence map›Paper›PMID 24626295›Full record

ArticlePloS one2014

Diagnostic and prognostic utility of a DNA hypermethylated gene signature in prostate cancer.

Liang Kee Goh, Natalia Liem, Aadhitthya Vijayaraghavan, Gengbo Chen, Pei Li Lim, Kae-Jack Tay, Michelle Chang, John Soon Wah Low, Adita Joshi, Hong Hong Huang and 6 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Prostate cancer in men of African origin.Nature reviews. Urology · 2016
    Review
  9. 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

16 authors.

Liang Kee GohCentre for Quantitative Medicine, Duke-National University of Singapore Graduate Medical School, Singapore, Singapore, Singapore; Cancer & Stem Cell Biology, Duke-National University of Singapore Graduate Medical School, Singapore, Singapore, Singapore.
Natalia LiemCancer Science Institute, National University of Singapore, Singapore, Singapore, Singapore.
Aadhitthya VijayaraghavanCentre for Quantitative Medicine, Duke-National University of Singapore Graduate Medical School, Singapore, Singapore, Singapore.
Gengbo ChenCancer & Stem Cell Biology, Duke-National University of Singapore Graduate Medical School, Singapore, Singapore, Singapore.
Pei Li LimCancer Science Institute, National University of Singapore, Singapore, Singapore, Singapore.
Kae-Jack TayDepartment of Urology, Singapore General Hospital, Singapore, Singapore, Singapore.
Michelle ChangDepartment of Urology, Singapore General Hospital, Singapore, Singapore, Singapore.
John Soon Wah LowCancer Science Institute, National University of Singapore, Singapore, Singapore, Singapore.
Adita JoshiDepartment of Urology, Singapore General Hospital, Singapore, Singapore, Singapore.
Hong Hong HuangDepartment of Urology, Singapore General Hospital, Singapore, Singapore, Singapore.
Emarene KalawDepartment of Pathology, Singapore General Hospital, Singapore, Singapore, Singapore.
Puay Hoon TanDepartment of Pathology, Singapore General Hospital, Singapore, Singapore, Singapore.
Wen-Son HsiehCancer Science Institute, National University of Singapore, Singapore, Singapore, Singapore.
Wei Peng YongCancer Science Institute, National University of Singapore, Singapore, Singapore, Singapore.
Joshi AlumkalKnight Cancer Institute, Oregon Health and Science University, Portland, Oregon, United States of America.
Hong Gee SimDepartment of Urology, Singapore General Hospital, Singapore, Singapore, Singapore.

Funding

Understanding the origins of rapid recurrence of pancreatic cancer after resectionP30CA069533 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Grace B Gill · 1997 to 2026
$60.5M
NCI NIH HHS P30 CA069533
6 · The paper itself

Abstract

We aimed to identify a prostate cancer DNA hypermethylation microarray signature (denoted as PHYMA) that differentiates prostate cancer from benign prostate hyperplasia (BPH), high from low-grade and lethal from non-lethal cancers. This is a non-randomized retrospective study in 111 local Asian men (87 prostate cancers and 24 BPH) treated from 1995 to 2009 in our institution. Archival prostate epithelia were laser-capture microdissected and genomic DNA extracted and bisulfite-converted. Samples were profiled using Illumina GoldenGate Methylation microarray, with raw data processed by GenomeStudio. A classification model was generated using support vector machine, consisting of a 55-probe DNA methylation signature of 46 genes. The model was independently validated on an internal testing dataset which yielded cancer detection sensitivity and specificity of 95.3% and 100% respectively, with overall accuracy of 96.4%. Second validation on another independent western cohort yielded 89.8% sensitivity and 66.7% specificity, with overall accuracy of 88.7%. A PHYMA score was developed for each sample based on the state of methylation in the PHYMA signature. Increasing PHYMA score was significantly associated with higher Gleason score and Gleason primary grade. Men with higher PHYMA scores have poorer survival on univariate (p = 0.0038, HR = 3.89) and multivariate analyses when controlled for (i) clinical stage (p = 0.055, HR = 2.57), and (ii) clinical stage and Gleason score (p = 0.043, HR = 2.61). We further performed bisulfite genomic sequencing on 2 relatively unknown genes to demonstrate robustness of the assay results. PHYMA is thus a signature with high sensitivity and specificity for discriminating tumors from BPH, and has a potential role in early detection and in predicting survival.

Indexed as

DNA MethylationGene Expression Regulation, NeoplasticAgedAged, 80 and overAsian PeopleCell DifferentiationEpigenesis, GeneticGene Expression ProfilingHumansMaleMiddle AgedMultivariate AnalysisOligonucleotide Array Sequence AnalysisPrognosisProportional Hazards ModelsProstatic Hyperplasia

Identifiers

PMID24626295
PMCPMC3953552

What OpenQuestion holds

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LicenceCC BY
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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.