Evidence map›Paper›PMID 28299719›Full record

ReviewMolecular diagnosis & therapy2017

The Non-Coding Transcriptome of Prostate Cancer: Implications for Clinical Practice.

Irene V Bijnsdorp, Martin E van Royen, Gerald W Verhaegh, Elena S Martens-Uzunova

Abstract readReview
In one paragraph

Review in Molecular diagnosis & therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

4 authors.

Irene V BijnsdorpDepartment of Urology, VU University Medical Center, Amsterdam, The Netherlands.
Martin E van RoyenDepartment of Pathology and Erasmus Optical Imaging Centre (OIC), Erasmus Medical Center, Rotterdam, The Netherlands.
Gerald W VerhaeghDepartment of Urology, Radboud university medical center, Nijmegen, The Netherlands.
Elena S Martens-UzunovaDepartment of Urology, Erasmus Medical Center, Erasmus Cancer Institute, Room Be-362b, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands. e.martens@erasmusmc.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is the most common type of cancer and the second leading cause of cancer-related death in men. Despite extensive research, the molecular mechanisms underlying PCa initiation and progression remain unclear, and there is increasing need of better biomarkers that can distinguish indolent from aggressive and life-threatening disease. With the advent of advanced genomic technologies in the last decade, it became apparent that the human genome encodes tens of thousands non-protein-coding RNAs (ncRNAs) with yet to be discovered function. It is clear now that the majority of ncRNAs exhibit highly specific expression patterns restricted to certain tissues and organs or developmental stages and that the expression of many ncRNAs is altered in disease and cancer, including cancer of the prostate. Such ncRNAs can serve as important biomarkers for PCa diagnosis, prognosis, or prediction of therapy response. In this review, we give an overview of the different types of ncRNAs and their function, describe ncRNAs relevant for the diagnosis and prognosis of PCa, and present emerging new aspects of ncRNA research that may contribute to the future utilization of ncRNAs as clinically useful therapeutic targets.

Indexed as

Gene Expression Regulation, NeoplasticAntigens, NeoplasmBiomarkers, TumorEarly Detection of CancerHigh-Throughput Nucleotide SequencingHumansMaleMolecular Targeted TherapyPrecision MedicinePrognosisProstatic NeoplasmsRNA, UntranslatedAntigens, NeoplasmBiomarkers, Tumorprostate cancer antigen 3, humanRNA, Untranslated

Identifiers

PMID28299719
PMCPMC5511609

What OpenQuestion holds

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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.