Evidence map›Paper›PMID 24759913›Full record

ArticlePloS one2014

Identification of protein kinase inhibitors with a selective negative effect on the viability of Epstein-Barr virus infected B cell lines.

Vassilis Mavromatidis, Zoltan Varga, Frigyes Waczek, Zoltán Őrfi, László Őrfi, György Kéri, George Mosialos

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Human DNA Virus Exploitation of the MAPK-ERK Cascade.International journal of molecular sciences · 2019
    Review
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.

Vassilis MavromatidisSchool of Biology, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Zoltan VargaVichem Chemie Ltd., Budapest, Hungary.
Frigyes WaczekVichem Chemie Ltd., Budapest, Hungary.
Zoltán ŐrfiDepartment of Molecular Biology, Max-Planck-Institute of Biochemistry, Martinsried, Germany.
László ŐrfiVichem Chemie Ltd., Budapest, Hungary; Department of Pharmaceutical Chemistry, Semmelweis University, Budapest, Hungary.
György KériVichem Chemie Ltd., Budapest, Hungary; MTA-SE Pathobiochemistry Research Group, Department of Medical Chemistry, Semmelweis University, Budapest, Hungary.
George MosialosSchool of Biology, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epstein-Barr virus (EBV) is a human herpesvirus, which is causally associated with the development of several B lymphocytic malignancies that include Burkitt's lymphomas, Hodgkin's disease, AIDS and posttransplant associated lymphomas. The transforming activity of EBV is orchestrated by several latent viral proteins that mimic and modulate cellular growth promoting and antiapoptotic signaling pathways, which involve among others the activity of protein kinases. In an effort to identify small molecule inhibitors of the growth of EBV-transformed B lymphocytes a library of 254 kinase inhibitors was screened. This effort identified two tyrosine kinase inhibitors and two MEK inhibitors that compromised preferentially the viability of EBV-infected human B lymphocytes. Our findings highlight the possible dependence of EBV-infected B lymphocytes on specific kinase-regulated pathways underlining the potential for the development of small molecule-based therapeutics that could target selectively EBV-associated human B lymphocyte malignancies.

Indexed as

B-LymphocytesCell LineCell SurvivalHerpesvirus 4, HumanHumansProtein Kinase InhibitorsProtein Kinase Inhibitors

Identifiers

PMID24759913
PMCPMC3997413

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.