Evidence map›Paper›PMID 25686826›Full record

ArticleOncotarget2015

Novel long non-coding RNAs are specific diagnostic and prognostic markers for prostate cancer.

René Böttcher, A Marije Hoogland, Natasja Dits, Esther I Verhoef, Charlotte Kweldam, Piotr Waranecki, Chris H Bangma, Geert J L H van Leenders, Guido Jenster

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  3. Review
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  6. Review
  7. Article
  8. Prognostic and clinicopathological significance of long noncoding RNA CTD-2510F5.4 in gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2019
    Article
  9. Article
  10. Article
  11. Article
  12. Molecular Biomarkers in the Clinical Management of Prostate Cancer.Cold Spring Harbor perspectives in medicine · 2018
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
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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

9 authors at 2 institutions in 2 countries.

René BöttcherDept. of Urology, Erasmus MC, Rotterdam, The Netherlands.
A Marije HooglandDept. of Pathology, Erasmus MC, Rotterdam, The Netherlands.
Natasja DitsDept. of Urology, Erasmus MC, Rotterdam, The Netherlands.
Esther I VerhoefDept. of Pathology, Erasmus MC, Rotterdam, The Netherlands.
Charlotte KweldamDept. of Pathology, Erasmus MC, Rotterdam, The Netherlands.
Piotr WaraneckiDept. of Urology, Erasmus MC, Rotterdam, The Netherlands.
Chris H BangmaDept. of Urology, Erasmus MC, Rotterdam, The Netherlands.
Geert J L H van LeendersDept. of Pathology, Erasmus MC, Rotterdam, The Netherlands.
Guido JensterDept. of Urology, Erasmus MC, Rotterdam, The Netherlands.
Erasmus MC · NLErasmus University Rotterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current prostate cancer (PCa) biomarkers such as PSA are not optimal in distinguishing cancer from benign prostate diseases and predicting disease outcome. To discover additional biomarkers, we investigated PCa-specific expression of novel unannotated transcripts. Using the unique probe design of Affymetrix Human Exon Arrays, we identified 334 candidates (EPCATs), of which 15 were validated by RT-PCR. Combined into a diagnostic panel, 11 EPCATs classified 80% of PCa samples correctly, while maintaining 100% specificity. High specificity was confirmed by in situ hybridization for EPCAT4R966 and EPCAT2F176 (SChLAP1) on extensive tissue microarrays. Besides being diagnostic, EPCAT2F176 and EPCAT4R966 showed significant association with pT-stage and were present in PIN lesions. We also found EPCAT2F176 and EPCAT2R709 to be associated with development of metastases and PCa-related death, and EPCAT2F176 to be enriched in lymph node metastases. Functional significance of expression of 9 EPCATs was investigated by siRNA transfection, revealing that knockdown of 5 different EPCATs impaired growth of LNCaP and 22RV1 PCa cells. Only the minority of EPCATs appear to be controlled by androgen receptor or ERG. Although the underlying transcriptional regulation is not fully understood, the novel PCa-associated transcripts are new diagnostic and prognostic markers with functional relevance to prostate cancer growth.

Indexed as

Biomarkers, TumorCell Line, TumorExonsGene Expression ProfilingGene Knockdown TechniquesHumansIn Situ HybridizationMaleOligonucleotide Array Sequence AnalysisPrognosisProstatic NeoplasmsProstatic Neoplasms, Castration-ResistantRNA, Long NoncodingTissue Array AnalysisBiomarkers, TumorRNA, Long Noncoding

Identifiers

PMID25686826
PMCPMC4414171
OpenAlexW1586273199

What OpenQuestion holds

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LicenceCC BY
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.