Evidence map›Paper›PMID 22289679›Full record

ReviewOncotarget2012

Polo Like Kinase 2 Tumour Suppressor and cancer biomarker: new perspectives on drug sensitivity/resistance in ovarian cancer.

Helen M Coley, Eleftheria Hatzimichael, Sarah Blagden, Iain McNeish, Alastair Thompson, Tim Crook, Nelofer Syed

Open access · hybridAbstract readReview
In one paragraph

Review in Oncotarget, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

23 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Journal of gastric cancer · 2022
    Article
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  7. Review
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  12. Review
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  16. 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

7 authors at 7 institutions in 3 countries.

Helen M ColeyFaculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, UK. h.coley@surrey.ac.uk
Eleftheria Hatzimichael
Sarah Blagden
Iain McNeish
Alastair Thompson
Tim Crook
Nelofer Syed
Cancer Institute (WIA) · INHammersmith Hospital · GBImperial College London · GBNinewells Hospital · GBUniversity Hospital of Ioannina · GRUniversity of Dundee · GBUniversity of Surrey · GB

Funding

Medical Research Council G0601891
6 · The paper itself

Abstract

The polo-like kinase PLK2 has recently been identified as a potential theranostic marker in the management of chemotherapy sensitive cancers. The methylation status of the PLK2 CpG island varies with sensitivity to paclitaxel and platinum in ovarian cancer cell lines. Importantly, extrapolation of these in vitro data to the clinical setting confirms that the methylation status of the PLK2 CpG island predicts outcomes in patients treated with carboplatin and paclitaxel chemotherapy. A second cell cycle regulator, p57Kip2, is also subject to epigenetic silencing in carboplatin resistance in vitro and in vivo, emphasising that cell cycle regulators are important determinants of sensitivity to chemotherapeutic agents and providing insights into the phenomenon of collateral drug sensitivity in oncology. Understanding the mechanistic basis and identification of robust biomarkers to predict collateral sensitivity may inform optimal use of chemotherapy in patients receiving multiple lines of treatment.

Indexed as

Biomarkers, TumorGenes, Tumor SuppressorAnimalsCarcinomaDrug Resistance, NeoplasmEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticHumansOvarian NeoplasmsProtein Serine-Threonine KinasesBiomarkers, TumorPLK2 protein, humanProtein Serine-Threonine Kinases

Identifiers

PMID22289679
PMCPMC3292894
OpenAlexW2163486957

What OpenQuestion holds

Textmetadata
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.