Evidence map›Paper›PMID 33212909›Full record

ReviewCells2020

Clinical Actionability of the Genomic Landscape of Metastatic Castration Resistant Prostate Cancer.

Wout Devlies, Markus Eckstein, Alessia Cimadamore, Gaëtan Devos, Lisa Moris, Thomas Van den Broeck, Rodolfo Montironi, Steven Joniau, Frank Claessens, Thomas Gevaert

Abstract readReview
In one paragraph

Review in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
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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

10 authors.

Wout DevliesDepartment of Urology, University Hospitals Leuven, 3000 Leuven, Belgium.ORCID 0000-0003-0725-6300
Markus EcksteinDepartment of Pathology, Friedrich-Alexander-University of Erlangen-Nürnberg, 91054 Erlangen, Germany.
Alessia CimadamoreSection of Pathological Anatomy, School of Medicine, Polytechnic University of the Marche Region, United Hospitals, 60121 Ancona, Italy.ORCID 0000-0001-5981-3514
Gaëtan DevosDepartment of Urology, University Hospitals Leuven, 3000 Leuven, Belgium.ORCID 0000-0002-6772-915X
Lisa MorisDepartment of Urology, University Hospitals Leuven, 3000 Leuven, Belgium.
Thomas Van den BroeckDepartment of Urology, University Hospitals Leuven, 3000 Leuven, Belgium.
Rodolfo MontironiSection of Pathological Anatomy, School of Medicine, Polytechnic University of the Marche Region, United Hospitals, 60121 Ancona, Italy.
Steven JoniauDepartment of Urology, University Hospitals Leuven, 3000 Leuven, Belgium.ORCID 0000-0003-3195-9890
Frank ClaessensLaboratory of Molecular Endocrinology, KU Leuven, 3000 Leuven, Belgium.ORCID 0000-0002-8676-7709
Thomas GevaertDepartment of Pathology, University Hospitals Leuven, 3000 Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of targeted therapies increases treatment options for metastatic castration resistant prostate cancer (mCRPC) patients. There is a need for strong predictive and prognostic signatures to guide physicians in treating mCRPC patients. In this review we unravel the possible actionability in the AR pathway, PI3K AKT signaling, and DNA repair pathways. Additionally, we make recommendations on biomarker trial design, and the clinical use of this new type of data.

Indexed as

Biomarkers, TumorHumansMaleNeoplasm MetastasisPhosphatidylinositol 3-KinasesPrognosisProstatic Neoplasms, Castration-ResistantReceptors, AndrogenBiomarkers, TumorPhosphatidylinositol 3-KinasesReceptors, Androgenandrogen receptorbiomarkerhistologymCRPCprostate cancertargeted therapies

Identifiers

PMID33212909
PMCPMC7698403

What OpenQuestion holds

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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.