Evidence map›Paper›PMID 25514598›Full record

ArticleOncotarget2015

Cell type specific gene expression analysis of prostate needle biopsies resolves tumor tissue heterogeneity.

Malte Krönig, Max Walter, Vanessa Drendel, Martin Werner, Cordula A Jilg, Andreas S Richter, Rolf Backofen, David McGarry, Marie Follo, Wolfgang Schultze-Seemann and 1 more

Abstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  10. Single punch, double biopsy.SpringerPlus · 2016
    Article
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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

11 authors.

Malte KrönigMedical Center, University of Freiburg, Department of Urology, 79106 Freiburg, Germany.
Max WalterMedical Center, University of Freiburg, Department of Urology, 79106 Freiburg, Germany.
Vanessa DrendelMedical Center, University of Freiburg, Department of Pathology, 79106 Freiburg, Germany.
Martin WernerMedical Center, University of Freiburg, Department of Pathology, 79106 Freiburg, Germany.
Cordula A JilgMedical Center, University of Freiburg, Department of Urology, 79106 Freiburg, Germany.
Andreas S RichterUniversity of Freiburg, Department of Computer Science, 79110 Freiburg, Germany.
Rolf BackofenUniversity of Freiburg, Department of Computer Science, 79110 Freiburg, Germany.
David McGarryMedical Center, University of Freiburg, Department of Urology, 79106 Freiburg, Germany.
Marie FolloMedical Center, University of Freiburg, Department of Medicine I, 79106 Freiburg, Germany.
Wolfgang Schultze-SeemannMedical Center, University of Freiburg, Department of Urology, 79106 Freiburg, Germany.
Roland SchüleMedical Center, University of Freiburg, Department of Urology, 79106 Freiburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A lack of cell surface markers for the specific identification, isolation and subsequent analysis of living prostate tumor cells hampers progress in the field. Specific characterization of tumor cells and their microenvironment in a multi-parameter molecular assay could significantly improve prognostic accuracy for the heterogeneous prostate tumor tissue. Novel functionalized gold-nano particles allow fluorescence-based detection of absolute mRNA expression levels in living cells by fluorescent activated flow cytometry (FACS). We use of this technique to separate prostate tumor and benign cells in human prostate needle biopsies based on the expression levels of the tumor marker alpha-methylacyl-CoA racemase (AMACR). We combined RNA and protein detection of living cells by FACS to gate for epithelial cell adhesion molecule (EPCAM) positive tumor and benign cells, EPCAM/CD45 double negative mesenchymal cells and CD45 positive infiltrating lymphocytes. EPCAM positive epithelial cells were further sub-gated into AMACR high and low expressing cells. Two hundred cells from each population and several biopsies from the same patient were analyzed using a multiplexed gene expression profile to generate a cell type resolved profile of the specimen. This technique provides the basis for the clinical evaluation of cell type resolved gene expression profiles as pre-therapeutic prognostic markers for prostate cancer.

Indexed as

Gene Expression Regulation, NeoplasticAntigens, NeoplasmBiomarkers, TumorBiopsy, NeedleCell Adhesion MoleculesEpithelial Cell Adhesion MoleculeFlow CytometryGene Expression ProfilingGenetic HeterogeneityHumansLeukocyte Common AntigensMalePrognosisProstateProstatic NeoplasmsRacemases and Epimerasesalpha-methylacyl-CoA racemaseAntigens, NeoplasmBiomarkers, TumorCell Adhesion MoleculesEpithelial Cell Adhesion MoleculeLeukocyte Common AntigensRacemases and Epimerases

Identifiers

PMID25514598
PMCPMC4359234

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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.