Evidence map›Paper›PMID 22956952›Full record

ArticleJournal of oncology2012

Transcriptome-wide detection of differentially expressed coding and non-coding transcripts and their clinical significance in prostate cancer.

Nicholas Erho, Christine Buerki, Timothy J Triche, Elai Davicioni, Ismael A Vergara

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02034812 (GenomeDx Decipher Test for Metastatic Disease Prognosis in Prostate Cancer for Patients With Adverse Pathology Post Radical Prostatectomy), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 20% 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.

NCT02034812 completednot on this mapstarted 2013, after this paper: background citation

GenomeDx Decipher Test for Metastatic Disease Prognosis in Prostate Cancer for Patients With Adverse Pathology Post Radical Prostatectomy: Does it Impact Radiation Oncologist' Treatment Recommendations?

TypeobservationalSponsorGenomeDx Biosciences CorpRan2013 to 2014Enrolled25ConditionsProstate CancerArmsDecipher Questionnaire
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Copy number alteration burden predicts prostate cancer relapse.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Cancer management and research · 2019
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Novel Biomarker Signature That May Predict Aggressive Disease in African American Men With Prostate Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2015
    Article
  13. Review
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

5 authors at 1 institution in 1 country.

Nicholas ErhoDepartment of Research and Development, GenomeDx Biosciences Inc., Vancouver, BC, Canada V6J 1J8.
Christine Buerki
Timothy J Triche
Elai Davicioni
Ismael A Vergara
Genome British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer is a clinically and biologically heterogeneous disease. Deregulation of splice variants has been shown to contribute significantly to this complexity. High-throughput technologies such as oligonucleotide microarrays allow for the detection of transcripts that play a role in disease progression in a transcriptome-wide level. In this study, we use a publicly available dataset of normal adjacent, primary tumor, and metastatic prostate cancer samples (GSE21034) to detect differentially expressed coding and non-coding transcripts between these disease states. To achieve this, we focus on transcript-specific probe selection regions, that is, those probe sets that correspond unambiguously to a single transcript. Based on this, we are able to pinpoint at the transcript-specific level transcripts that are differentially expressed throughout prostate cancer progression. We confirm previously reported cases and find novel transcripts for which no prior implication in prostate cancer progression has been made. Furthermore, we show that transcript-specific differential expression has unique prognostic potential and provides a clinically significant source of biomarker signatures for prostate cancer risk stratification. The results presented here serve as a catalog of differentially expressed transcript-specific markers throughout prostate cancer progression that can be used as basis for further development and translation into the clinic.

Identifiers

PMID22956952
PMCPMC3431106
OpenAlexW2133494659

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.