Evidence map›Paper›PMID 24027026›Full record

ArticleScience translational medicine2013

A molecular signature predictive of indolent prostate cancer.

Shazia Irshad, Mukesh Bansal, Mireia Castillo-Martin, Tian Zheng, Alvaro Aytes, Sven Wenske, Clémentine Le Magnen, Paolo Guarnieri, Pavel Sumazin, Mitchell C Benson and 3 more

Erratum issuedAbstract read
In one paragraph

Article in Science translational medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
11.6field-weighted citation impact, top 1% 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

79 citing papers in PubMed, 132 citations in OpenAlex.

  1. Trial
  2. Copy number alteration burden predicts prostate cancer relapse.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Trial
  3. Article
  4. Article
  5. Article
  6. ATAD2 Drives Prostate Cancer Progression to Metastasis.Molecular cancer research : MCR · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Patterns of indolence in prostate cancer (Review).Experimental and therapeutic medicine · 2022
    Review
  18. Article
  19. A mNAR cancer · 2022
    Article
  20. Article

19 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 1 country.

Shazia IrshadDepartment of Urology, Columbia University Medical Center, New York, NY 10029, USA.
Mukesh Bansal
Mireia Castillo-Martin
Tian Zheng
Alvaro Aytes
Sven Wenske
Clémentine Le Magnen
Paolo Guarnieri
Pavel Sumazin
Mitchell C Benson
Michael M Shen
Andrea Califano
Cory Abate-Shen
Columbia University Irving Medical Center · USColumbia University · USIcahn School of Medicine at Mount Sinai · US

Funding

Nation Center: Multi-Scale Study- Cellular Networks(RMI)U54CA121852 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2005 to 2015
$37.4M
Elucidation of cancer pathways and druggable targets using mouse models.U01CA084294 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI ABATE-SHEN, CORY · 1999 to 2013
$11.4M
Roles for Nkx3.1 in Prostate Cancer InitiationP01CA154293 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABATE-SHEN, CORY · 2011 to 2015
$6.5M
NCI NIH HHS CA084294NCI NIH HHS CA121852NCI NIH HHS CA154293NCI NIH HHS P01 CA154293NCI NIH HHS U01 CA084294NCI NIH HHS U54 CA121852
6 · The paper itself

Abstract

Many newly diagnosed prostate cancers present as low Gleason score tumors that require no treatment intervention. Distinguishing the many indolent tumors from the minority of lethal ones remains a major clinical challenge. We now show that low Gleason score prostate tumors can be distinguished as indolent and aggressive subgroups on the basis of their expression of genes associated with aging and senescence. Using gene set enrichment analysis, we identified a 19-gene signature enriched in indolent prostate tumors. We then further classified this signature with a decision tree learning model to identify three genes--FGFR1, PMP22, and CDKN1A--that together accurately predicted outcome of low Gleason score tumors. Validation of this three-gene panel on independent cohorts confirmed its independent prognostic value as well as its ability to improve prognosis with currently used clinical nomograms. Furthermore, protein expression of this three-gene panel in biopsy samples distinguished Gleason 6 patients who failed surveillance over a 10-year period. We propose that this signature may be incorporated into prognostic assays for monitoring patients on active surveillance to facilitate appropriate courses of treatment.

Indexed as

Gene Expression ProfilingAgedAgingAnimalsBiomarkers, TumorDecision TreesGene Expression Regulation, NeoplasticGenes, NeoplasmHumansMaleMiceMiddle AgedModels, BiologicalPrognosisProstatic NeoplasmsReproducibility of ResultsBiomarkers, TumorRNA, Messenger

Identifiers

PMID24027026
PMCPMC3943244
OpenAlexW2139773658

What OpenQuestion holds

Textmetadata
LicenceTDM
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.