Evidence map›Paper›PMID 27044421›Full record

ReviewBMC medicine2016

Incorporation of tissue-based genomic biomarkers into localized prostate cancer clinics.

Marco Moschini, Martin Spahn, Agostino Mattei, John Cheville, R Jeffrey Karnes

Open access · goldAbstract readReview
In one paragraph

Review in BMC medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
9.5field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Marco MoschiniDepartment of Urology, Mayo Clinic, Rochester, MN, USA.
Martin SpahnDepartment of Urology, University Hospital of Bern, Inselspital, Bern, Switzerland.
Agostino MatteiKlinik für Urologie, Luzerner Kantonsspital, Luzern, Switzerland.
John ChevilleDepartment of Laboratory Medicine and Pathology, Mayo Clinic , Rochester, MN, USA.
R Jeffrey KarnesDepartment of Urology, Mayo Clinic, Rochester, MN, USA. karnes.r@mayo.edu.
Mayo Clinic in Arizona · USLuzerner Kantonsspital · CHUniversity Hospital of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Localized prostate cancer (PCa) is a clinically heterogeneous disease, which presents with variability in patient outcomes within the same risk stratification (low, intermediate or high) and even within the same Gleason scores. Genomic tools have been developed with the purpose of stratifying patients affected by this disease to help physicians personalize therapies and follow-up schemes. This review focuses on these tissue-based tools. At present, four genomic tools are commercially available: Decipher™, Oncotype DX®, Prolaris® and ProMark®. Decipher™ is a tool based on 22 genes and evaluates the risk of adverse outcomes (metastasis) after radical prostatectomy (RP). Oncotype DX® is based on 17 genes and focuses on the ability to predict outcomes (adverse pathology) in very low-low and low-intermediate PCa patients, while Prolaris® is built on a panel of 46 genes and is validated to evaluate outcomes for patients at low risk as well as patients who are affected by high risk PCa and post-RP. Finally, ProMark® is based on a multiplexed proteomics assay and predicts PCa aggressiveness in patients found with similar features to Oncotype DX®. These biomarkers can be helpful for post-biopsy decision-making in low risk patients and post-radical prostatectomy in selected risk groups. Further studies are needed to investigate the clinical benefit of these new technologies, the financial ramifications and how they should be utilized in clinics.

Indexed as

Genetic MarkersNeoplasm MetastasisProstatectomyProstatic NeoplasmsGenetic TechniquesHumansMaleNeoplasm StagingPredictive Value of TestsPrognosisRisk AssessmentGenetic MarkersDecipherGenetic toolsOncotype DXProlarisProstate cancerRadical prostatectomy

Identifiers

PMID27044421
PMCPMC4820857
OpenAlexW2336471292

What OpenQuestion holds

Textmetadata
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.