Evidence map›Paper›PMID 26871292›Full record

ArticleOncotarget2016

Integrated transcriptomic and proteomic analysis identifies protein kinase CK2 as a key signaling node in an inflammatory cytokine network in ovarian cancer cells.

Hagen Kulbe, Francesco Iorio, Probir Chakravarty, Carla S Milagre, Robert Moore, Richard G Thompson, Gemma Everitt, Monica Canosa, Alexander Montoya, Denis Drygin and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. 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
1.4field-weighted citation impact, top 17% 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, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. 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

15 authors at 4 institutions in 2 countries.

Hagen KulbeCentre for Cancer and Inflammation, Barts Cancer Institute, Queen Mary University of London, London, UK.
Francesco IorioEuropean Molecular Biology Laboratory - European Bioinformatics Institute, EMBL-EBI, Cambridge, UK.
Probir ChakravartyBioinformatics Core, The Francis Crick Institute, London, UK.
Carla S MilagreCentre for Cancer and Inflammation, Barts Cancer Institute, Queen Mary University of London, London, UK.
Robert MooreCentre for Cancer and Inflammation, Barts Cancer Institute, Queen Mary University of London, London, UK.
Richard G ThompsonCentre for Cancer and Inflammation, Barts Cancer Institute, Queen Mary University of London, London, UK.
Gemma EverittCentre for Cancer and Inflammation, Barts Cancer Institute, Queen Mary University of London, London, UK.
Monica CanosaCentre for Cancer and Inflammation, Barts Cancer Institute, Queen Mary University of London, London, UK.
Alexander MontoyaCentre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK.
Denis DryginPimera, Inc., San Diego, CA, USA.
Ioana BraicuTumorbank Ovarian Cancer Network, Department of Gynecology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Jalid SehouliTumorbank Ovarian Cancer Network, Department of Gynecology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Julio Saez-RodriguezEuropean Molecular Biology Laboratory - European Bioinformatics Institute, EMBL-EBI, Cambridge, UK.
Pedro R CutillasCentre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK.
Frances R BalkwillCentre for Cancer and Inflammation, Barts Cancer Institute, Queen Mary University of London, London, UK.
Queen Mary University of London · GBCharité - Universitätsmedizin Berlin · DEEuropean Bioinformatics Institute · GBThe Francis Crick Institute · GB

Funding

Cancer Research UK 16354Medical Research Council G0501974Wellcome Trust
6 · The paper itself

Abstract

We previously showed how key pathways in cancer-related inflammation and Notch signaling are part of an autocrine malignant cell network in ovarian cancer. This network, which we named the "TNF network", has paracrine actions within the tumor microenvironment, influencing angiogenesis and the immune cell infiltrate.The aim of this study was to identify critical regulators in the signaling pathways of the TNF network in ovarian cancer cells that might be therapeutic targets. To achieve our aim, we used a systems biology approach, combining data from phospho-proteomic mass spectrometry and gene expression array analysis. Among the potential therapeutic kinase targets identified was the protein kinase Casein kinase II (CK2).Knockdown of CK2 expression in malignant cells by siRNA or treatment with the specific CK2 inhibitor CX-4945 significantly decreased Notch signaling and reduced constitutive cytokine release in ovarian cancer cell lines that expressed the TNF network as well as malignant cells isolated from high grade serous ovarian cancer ascites. The expression of the same cytokines was also inhibited after treatment with CX-4945 in a 3D organotypic model. CK2 inhibition was associated with concomitant inhibition of proliferative activity, reduced angiogenesis and experimental peritoneal ovarian tumor growth.In conclusion, we have identified kinases, particularly CK2, associated with the TNF network that may play a central role in sustaining the cytokine network and/or mediating its effects in ovarian cancer.

Indexed as

AnimalsCasein Kinase IICell Line, TumorCytokinesFemaleGene Expression ProfilingHeterograftsHumansInflammationMiceMice, Inbred BALB COvarian NeoplasmsProteomicsSignal TransductionSystems BiologyTranscriptomeCasein Kinase IICSNK2A1 protein, humanCytokinesTumor Necrosis Factor-alphainflammatory cytokine networksmicroenvironmentovarian cancersystems biologytherapeutics

Identifiers

PMID26871292
PMCPMC4941267
OpenAlexW2272937574

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.