Evidence map›Paper›PMID 27651837›Full record

ArticleClinical epigenetics

Epigenetic signature of Gleason score and prostate cancer recurrence after radical prostatectomy.

Milan S Geybels, Jonathan L Wright, Marina Bibikova, Brandy Klotzle, Jian-Bing Fan, Shanshan Zhao, Ziding Feng, Elaine A Ostrander, Daniel W Lin, Peter S Nelson and 1 more

Abstract read
In one paragraph

Article in Clinical epigenetics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Methylation Subtypes of Primary Prostate Cancer Predict Poor Prognosis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  4. Article
  5. Genes · 2020
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Epigenetically Silenced Candidate Tumor Suppressor Genes in Prostate Cancer: Identified by Modeling Methylation Stratification and Applied to Progression Prediction.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Aberrant Promoter Methylation of Protocadherin8 (PCDH8) in Serum is a Potential Prognostic Marker for Low Gleason Score Prostate Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2017
    Article
  18. Oncotarget · 2017
    Article
  19. 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

11 authors.

Milan S GeybelsDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109-1024 USA ; Department of Epidemiology, GROW School for Oncology and Developmental biology, Maastricht University, Maastricht, The Netherlands.
Jonathan L WrightDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109-1024 USA ; Department of Urology, University of Washington School of Medicine, Seattle, WA USA.
Marina BibikovaIllumina, Inc., San Diego, CA USA.
Brandy KlotzleIllumina, Inc., San Diego, CA USA.
Jian-Bing FanIllumina, Inc., San Diego, CA USA ; Current address: AnchorDx Corp., Guangzhou, 510300 People's Republic of China.
Shanshan ZhaoBiostatistics & Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC USA.
Ziding FengDepartment of Biostatistics, MD Anderson Cancer Center, Houston, TX USA.
Elaine A OstranderCancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, NIH, Bethesda, MD USA.
Daniel W LinDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109-1024 USA ; Department of Urology, University of Washington School of Medicine, Seattle, WA USA.
Peter S NelsonDivision of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA USA ; Division of Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA USA ; Department of Medicine, University of Washington School of Medicine, Seattle, WA USA.
Janet L StanfordDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109-1024 USA ; Department of Epidemiology, University of Washington School of Public Health, Seattle, WA USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
TRANSCRIPTOME AND PROTEOME STRATIFICATION OF PROSTATE ADENOCARCINOMA PHENOTYPESP50CA097186 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETER S NELSON · 2002 to 2026
$58.1M
Finding Genes for Human Prostate CancerZIAHG200325 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI OSTRANDER, ELAINE · 2009 to 2021
$17.7M
Application of Statistical Methods in Epidemiology StudiesZIAES103308 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI ZHAO, SHANSHAN · 2015 to 2025
$2.2M
NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA097186
6 · The paper itself

Abstract

backgroundIdentifying the subset of patients with clinically localized prostate cancer (PCa) at the highest risk of recurrence remains challenging, and better prognostic markers are needed. Gleason score is the best predictor of PCa aggressiveness and prognosis. In the present study, we generated an epigenetic signature based on high versus low Gleason score tumors and evaluated its ability to predict recurrence after radical prostatectomy.

methodsGenome-wide DNA methylation data from The Cancer Genome Atlas (TCGA; no. of patients = 333) and the elastic net method were used to generate an epigenetic signature by contrasting patients with high (8-10) versus low (≤6) Gleason score tumors. The signature was then tested in a cohort of 523 patients with clinically localized disease who had radical prostatectomy. Samples taken from the primary tumor were used for DNA methylation and mRNA expression profiling. Patients were followed for PCa recurrence on average for 8 years after diagnosis.

resultsThe epigenetic signature includes 52 differentially methylated CpG sites. In the testing cohort, the signature was associated with poorer recurrence-free survival (hazard ratio per 25 % increase = 1.78; 95 % confidence interval 1.48, 2.16). The signature significantly improved the area under the curve (AUC) for PCa recurrence compared to clinical-pathological parameters alone, particularly among patients diagnosed with Gleason score 7 tumors (0.64 vs. 0.76, P = 1.34E-4). Results were comparable for patients with Gleason 3 + 4 and those with 4 + 3 tumors. Gene Set Enrichment Analysis showed that higher levels of the signature were associated with increased expression of genes related to cell cycle proliferation and decreased expression of androgen-responsive genes.

conclusionsThis report shows evidence that DNA methylation patterns measured in prostate tumor cells are predictive of PCa aggressiveness. The epigenetic signature may have clinical utility to improve prognostication particularly in patients with intermediate Gleason score 7 tumors.

Indexed as

DNA MethylationArea Under CurveCell CycleCpG IslandsEpigenesis, GeneticFollow-Up StudiesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedNeoplasm GradingNeoplasm Recurrence, LocalProstatectomyProstatic NeoplasmsClinically localized prostate cancerDNA methylationElastic net regularizationGene expressionGenome-wide profilingRisk prediction for prognosisTumor tissue

Identifiers

PMID27651837
PMCPMC5024414

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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.