Evidence map›Paper›PMID 30034634›Full record

ArticleOncotarget2018

The relationship of CDK18 expression in breast cancer to clinicopathological parameters and therapeutic response.

Giancarlo Barone, Arvind Arora, Anil Ganesh, Tarek Abdel-Fatah, Paul Moseley, Reem Ali, Stephen Yt Chan, Constantinos Savva, Kristina Schiavone, Natasha Carmell and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Review
  3. Cyclin-dependent kinases: Masters of the eukaryotic universe.Wiley interdisciplinary reviews. RNA · 2023
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  5. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Giancarlo Barone *Sheffield Institute for Nucleic Acids (SInFoNiA), Academic Unit of Molecular Oncology, Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, UK.
Arvind Arora *Academic Unit of Oncology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Anil GaneshSheffield Institute for Nucleic Acids (SInFoNiA), Academic Unit of Molecular Oncology, Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, UK.
Tarek Abdel-FatahAcademic Unit of Oncology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Paul MoseleyAcademic Unit of Oncology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Reem AliAcademic Unit of Oncology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Stephen Yt ChanAcademic Unit of Oncology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Constantinos SavvaAcademic Unit of Oncology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Kristina SchiavoneSheffield Institute for Nucleic Acids (SInFoNiA), Academic Unit of Molecular Oncology, Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, UK.
Natasha CarmellSheffield Institute for Nucleic Acids (SInFoNiA), Academic Unit of Molecular Oncology, Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, UK.
Katie N MyersSheffield Institute for Nucleic Acids (SInFoNiA), Academic Unit of Molecular Oncology, Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, UK.
Emad A RakhaAcademic Unit of Oncology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Srinivasan MadhusudanAcademic Unit of Oncology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Spencer J CollisSheffield Institute for Nucleic Acids (SInFoNiA), Academic Unit of Molecular Oncology, Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, UK.
University of Nottingham · GBUniversity of Sheffield · GB

Funding

Cancer Research UK 12102
6 · The paper itself

Abstract

backgroundCyclin-Dependent Kinases (CDKs) are established anti-cancer drug targets and a new generation of CDK inhibitors are providing clinical benefits to a sub-set of breast cancer patients. We have recently shown that human CDK18 promotes efficient cellular responses to replication stress. In the current study, we have investigated the clinicopathological and functional significance of CDK18 expression levels in breast cancers.

resultsHigh CDK18 protein expression was associated with a triple negative and basal-like phenotype (

conclusionsThese data reveal that CDK18 protein levels may predict breast cancer disease progression and response to chemotherapy, and provide further rationale for potential targeting of CDK18 as part of novel anti-cancer strategies for human cancers. MATERIALS AND

methodsCDK18 protein expression was evaluated in 1650 breast cancers and correlated to clinicopathological parameters and survival outcomes. Similar analyses were carried out for genetic and transcriptomic changes in CDK18 within several publically available breast cancer cohorts. Additionally, we used a deactivated CRISPR/Cas9 approach (dCRISPR) to elucidate the molecular consequences of heightened endogenous CDK18 expression within breast cancer cells.

Indexed as

breast cancerCDK18chemotherapycyclin-dependent kinasereplication stress

Identifiers

PMID30034634
PMCPMC6047673
OpenAlexW2810962597

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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.