Evidence map›Paper›PMID 36185585›Full record

ArticleEuropean urology open science2022

Prediction of Biochemical Recurrence Based on Molecular Detection of Lymph Node Metastasis After Radical Prostatectomy.

Berna C Özdemir, Nicolas Arnold, Achim Fleischmann, Janine Hensel, Irena Klima, Marianna Kruithof-de Julio, Fiona Burkhard, Stefanie Hayoz, Bernhard Kiss, George N Thalmann

Abstract read
In one paragraph

Article in European urology open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Unveiling molecular incomplete response (mIR)Cancer biology & medicine · 2026
    Article
  3. Article
  4. Round up.Indian journal of urology : IJU : journal of the Urological Society of India
    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

10 authors.

Berna C ÖzdemirUrological Research Laboratory and Department of Urology, University of Bern, Inselspital, Bern, Switzerland.
Nicolas ArnoldUrological Research Laboratory and Department of Urology, University of Bern, Inselspital, Bern, Switzerland.
Achim FleischmannInstitute of Pathology, University of Bern, Bern, Switzerland.
Janine HenselUrological Research Laboratory and Department of Urology, University of Bern, Inselspital, Bern, Switzerland.
Irena KlimaUrological Research Laboratory and Department of Urology, University of Bern, Inselspital, Bern, Switzerland.
Marianna Kruithof-de JulioUrological Research Laboratory and Department of Urology, University of Bern, Inselspital, Bern, Switzerland.
Fiona BurkhardUrological Research Laboratory and Department of Urology, University of Bern, Inselspital, Bern, Switzerland.
Stefanie HayozSwiss Group for Clinical Cancer Research (SAKK) Coordinating Center, Bern, Switzerland.
Bernhard KissUrological Research Laboratory and Department of Urology, University of Bern, Inselspital, Bern, Switzerland.
George N ThalmannUrological Research Laboratory and Department of Urology, University of Bern, Inselspital, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Molecular detection of lymph node (LN) micrometastases by analyzing mRNA expression of epithelial markers in prostate cancer (PC) patients provides higher sensitivity than histopathological examination. Objective: To investigate which type of marker to use and whether molecular detection of micrometastases in LNs was predictive of biochemical recurrence. Design setting and participants: LN samples from PC patients undergoing radical prostatectomy with extended LN dissection between 2009 and 2011 were examined for the presence of micrometastases by both routine histopathology and molecular analyses. Outcome measurements and statistical analysis: The mRNA expression of a panel of markers of prostate epithelial cells, prostate stem cell-like cells, epithelial-to-mesenchymal transition, and stromal activation, was performed by quantitative real-time polymerase chain reaction. The expression levels of these markers in LN metastases from three PC patients were compared with the expression levels in LN from five control patients without PC in order to identify the panel of markers best suited for the molecular detection of LN metastases. The predictive value of the molecular detection of micrometastases for biochemical recurrence was assessed after a follow-up of 10 yr. Results and limitations: Prostate epithelial markers are better suited for the detection of occult LN metastases than molecular markers of stemness, epithelial-to-mesenchymal transition, or reactive stroma. An analysis of 1023 LNs from 60 PC patients for the expression of prostate epithelial cell markers has revealed different expression levels and patterns between patients and between LNs of the same patient. The positive predictive value of molecular detection of occult LN metastasis for biochemical recurrence is 66.7% and the negative predictive value is 62.5%. Limitations are sample size and the hypothesis-driven selection of markers. Conclusions: Molecular detection of epithelial cell markers increases the number of positive LNs and predicts tumor recurrence already at surgery. Patient summary: We show that a panel of epithelial prostate markers rather than single genes is preferred for the molecular detection of lymph node micrometastases not visible at histopathological examination.

Indexed as

Extended lymphadenectomyIsolated tumor cellsLymph nodesMetastasisMicrometastasisMolecular detectionMolecular markersmRNA expressionProstate cancer

Identifiers

PMID36185585
PMCPMC9520506

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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.