Evidence map›Paper›PMID 27438858›Full record

ReviewDiagnostics (Basel, Switzerland)2016

The Role of Proteomics in Biomarker Development for Improved Patient Diagnosis and Clinical Decision Making in Prostate Cancer.

Claire L Tonry, Emma Leacy, Cinzia Raso, Stephen P Finn, John Armstrong, Stephen R Pennington

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
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  7. Frontiers in genetics · 2019
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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

6 authors at 3 institutions in 1 country.

Claire L TonryUCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin 4, Ireland. claire.tonry@ucdconnect.ie.
Emma LeacyUCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin 4, Ireland. claire.tonry@ucdconnect.ie.
Cinzia RasoUCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin 4, Ireland. cinzia.raso@ucd.ie.
Stephen P FinnSchool of Medicine, Trinity College Dublin, Dublin 2, Ireland. stephen.finn@tcd.ie.
John ArmstrongSt. Luke's Hospital, Rathgar, Dublin 6, Ireland. john.armstrong@slh.ie.
Stephen R PenningtonUCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin 4, Ireland. stephen.pennington@ucd.ie.
University College Dublin · IESt. Luke's Hospital · IETrinity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate Cancer (PCa) is the second most commonly diagnosed cancer in men worldwide. Although increased expression of prostate-specific antigen (PSA) is an effective indicator for the recurrence of PCa, its intended use as a screening marker for PCa is of considerable controversy. Recent research efforts in the field of PCa biomarkers have focused on the identification of tissue and fluid-based biomarkers that would be better able to stratify those individuals diagnosed with PCa who (i) might best receive no treatment (active surveillance of the disease); (ii) would benefit from existing treatments; or (iii) those who are likely to succumb to disease recurrence and/or have aggressive disease. The growing demand for better prostate cancer biomarkers has coincided with the development of improved discovery and evaluation technologies for multiplexed measurement of proteins in bio-fluids and tissues. This review aims to (i) provide an overview of these technologies as well as describe some of the candidate PCa protein biomarkers that have been discovered using them; (ii) address some of the general limitations in the clinical evaluation and validation of protein biomarkers; and (iii) make recommendations for strategies that could be adopted to improve the successful development of protein biomarkers to deliver improvements in personalized PCa patient decision making.

Indexed as

biomarkersclinical validationmultiple reaction monitoringprostate cancerproteomics

Identifiers

PMID27438858
PMCPMC5039561
OpenAlexW2480826285

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.