Evidence map›Paper›PMID 27600340›Full record

ArticleMicroarrays (Basel, Switzerland)2014

Qualitative and Quantitative Requirements for Assessing Prognostic Markers in Prostate Cancer.

Christoph Burdelski, Aleksandra Matuszewska, Martina Kluth, Christina Koop, Katharina Grupp, Stefan Steurer, Corinna Wittmer, Sarah Minner, Maria Christina Tsourlakis, Guido Sauter and 2 more

Open access · goldAbstract read
In one paragraph

Article in Microarrays (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 3 institutions in 1 country.

Christoph BurdelskiInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. cburdelski@uke.de.
Aleksandra MatuszewskaInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. matuszewska.aleksandra@yahoo.de.
Martina KluthInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. m.kluth@uke.de.
Christina KoopInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. c.koop@uke.de.
Katharina GruppGeneral, Visceral and Thoracic Surgery Department and Clinic, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. k.grupp@uke.de.
Stefan SteurerInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. s.steurer@uke.de.
Corinna WittmerInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. c.wittmer@uke.de.
Sarah MinnerInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. s.minner@uke.de.
Maria Christina TsourlakisInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. m.tsourlakis@uke.de.
Guido SauterInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. g.sauter@uke.de.
Thorsten SchlommMartini-Clinic, Prostate Cancer Center, Martinistr. 52, 20246, Hamburg, Germany. tschlomm@uke.de.
Ronald SimonInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. r.simon@uke.de.
University Medical Center Hamburg-Eppendorf · DEUniversität Hamburg · DEMartini-Klinik · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular prognostic markers are urgently needed in order to improve therapy decisions in prostate cancer. To better understand the requirements for biomarker studies, we re-analyzed prostate cancer tissue microarray immunohistochemistry (IHC) data from 39 prognosis markers in subsets of 50 - >10,000 tumors. We found a strong association between the "prognostic power" of individual markers and the number of tissues that should be minimally included in such studies. The prognostic relevance of more than 90% of the 39 IHC markers could be detected if ≥6400 tissue samples were analyzed. Studying markers of tissue quality, including immunohistochemistry of ets-related gene (ERG) and vimentin, and fluorescence in-situ hybridization analysis of human epidermal growth factor receptor 2 (HER2), we found that 18% of tissues in our tissue microarray (TMA) showed signs of reduced tissue preservation and limited immunoreactivity. Comparing the results of Kaplan-Meier survival analyses or associations to ERG immunohistochemistry in subsets of tumors with and without exclusion of these defective tissues did not reveal statistically relevant differences. In summary, our study demonstrates that TMA-based marker validation studies using biochemical recurrence as an endpoint require at least 6400 individual tissue samples for establishing statistically relevant associations between the expression of molecular markers and patient outcome if weak to moderate prognosticators should also be reliably identified.

Indexed as

marker validationnumber of samplesprognosisprostate cancertissue microarraytissue quality

Identifiers

PMID27600340
PMCPMC5003445
OpenAlexW2091394526

What OpenQuestion holds

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LicenceCC BY
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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.