Evidence map›Paper›PMID 30158500›Full record

ReviewDiagnostics (Basel, Switzerland)2018

Promise and Implementation of Proteomic Prostate Cancer Biomarkers.

Agnieszka Latosinska, Maria Frantzi, Axel S Merseburger, Harald Mischak

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Association of neutrophil-to-lymphocyte ratio with outcomes after elective abdominal aortic aneurysm repair.Journal of vascular nursing : official publication of the Society for Peripheral Vascular Nursing · 2019
    Article
  8. Article
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.

Agnieszka LatosinskaMosaiques Diagnostics GmbH, 30659 Hannover, Germany. latosinska@mosaiques-diagnostics.com.
Maria FrantziMosaiques Diagnostics GmbH, 30659 Hannover, Germany. frantzi@mosaiques-diagnostics.com.ORCID 0000-0003-0415-0316
Axel S MerseburgerDepartment of Urology, University Clinic of Schleswig-Holstein, Campus Lübeck, 23562 Lübeck, Germany. Axel.Merseburger@uksh.de.
Harald MischakMosaiques Diagnostics GmbH, 30659 Hannover, Germany. mischak@mosaiques-diagnostics.com.

Funding

European Commission BioMedBC (752755)European Commission PCaProTreat (800048)Eurostars BioGuidePCa (E! 11023)
6 · The paper itself

Abstract

Prostate cancer is one of the most commonly diagnosed malignancy and the fifth leading cause of cancer mortality in men. Despite the broad use of prostate-specific antigen test that resulted in an increase in number of diagnosed cases, disease management needs to be improved. Proteomic biomarkers alone and or in combination with clinical and pathological risk calculators are expected to improve on decreasing the unnecessary biopsies, stratify low risk patients, and predict response to treatment. To this end, significant efforts have been undertaken to identify novel biomarkers that can accurately discriminate between indolent and aggressive cancer forms and indicate those men at high risk for developing prostate cancer that require immediate treatment. In the era of "big data" and "personalized medicine" proteomics-based biomarkers hold great promise to provide clinically applicable tools, as proteins regulate all biological functions, and integrate genomic information with the environmental impact. In this review article, we aim to provide a critical assessment of the current proteomics-based biomarkers for prostate cancer and their actual clinical applicability. For that purpose, a systematic review of the literature published within the last 10 years was performed using the Web of Science Database. We specifically discuss the potential and prospects of use for diagnostic, prognostic and predictive proteomics-based biomarkers, including both body fluid- and tissue-based markers.

Indexed as

active surveillancebiomarkersdiagnosisProstate Cancerproteomics

Identifiers

PMID30158500
PMCPMC6174350

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.