Evidence map›Paper›PMID 28276528›Full record

ArticleScientific reports2017

Variability in statin-induced changes in gene expression profiles of pancreatic cancer.

Helena Gbelcová, Silvie Rimpelová, Tomáš Ruml, Marie Fenclová, Vítek Kosek, Jana Hajšlová, Hynek Strnad, Michal Kolář, Libor Vítek

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
1.5field-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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Helena GbelcováInstitute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, Bratislava, Slovakia.
Silvie RimpelováDepartment of Biochemistry and Microbiology, University of Chemistry and Technology, Prague, Czech Republic.
Tomáš RumlDepartment of Biochemistry and Microbiology, University of Chemistry and Technology, Prague, Czech Republic.
Marie FenclováDepartment of Biochemistry and Microbiology, University of Chemistry and Technology, Prague, Czech Republic.
Vítek KosekDepartment of Biochemistry and Microbiology, University of Chemistry and Technology, Prague, Czech Republic.
Jana HajšlováDepartment of Biochemistry and Microbiology, University of Chemistry and Technology, Prague, Czech Republic.
Hynek StrnadLaboratory of Genomics and Bioinformatics, Institute of Molecular Genetics, Academy of Sciences of the Czech Republic, Prague, Czech Republic.
Michal KolářLaboratory of Genomics and Bioinformatics, Institute of Molecular Genetics, Academy of Sciences of the Czech Republic, Prague, Czech Republic.
Libor VítekInstitute of Medical Biochemistry and Laboratory Diagnostics, and 4th Department of Internal Medicine, 1st Faculty of Medicine, Charles University, Prague, Czech Republic.
University of Chemistry and Technology, Prague · CZCzech Academy of Sciences, Institute of Molecular Genetics · CZCharles University · CZComenius University Bratislava · SK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Statins, besides being powerful cholesterol-lowering drugs, also exert potent anti-proliferative activities. However, their anti-cancer efficacy differs among the individual statins. Thus, the aim of this study was to identify the biological pathways affected by individual statins in an in vitro model of human pancreatic cancer. The study was performed on a human pancreatic cancer cell line MiaPaCa-2, exposed to all commercially available statins (12 μM, 24 h exposure). DNA microarray analysis was used to determine changes in the gene expression of treated cells. Intracellular concentrations of individual statins were measured by UPLC (ultra performance liquid chromatography)-HRMS (high resolution mass spectrometer). Large differences in the gene transcription profiles of pancreatic cancer cells exposed to various statins were observed; cerivastatin, pitavastatin, and simvastatin being the most efficient modulators of expression of genes involved namely in the mevalonate pathway, cell cycle regulation, DNA replication, apoptosis and cytoskeleton signaling. Marked differences in the intracellular concentrations of individual statins in pancreatic cancer cells were found (>11 times lower concentration of rosuvastatin compared to lovastatin), which may contribute to inter-individual variability in their anti-cancer effects. In conclusion, individual statins exert different gene expression modulating effects in treated pancreatic cancer cells. These effects may be partially caused by large differences in their bioavailability. We report large differences in gene transcription profiles of pancreatic cancer cells exposed to various statins. These data correlate to some extent with the intracellular concentrations of statins, and may explain the inter-individual variability in the anti-cancer effects of statins.

Indexed as

Cell Line, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansHydroxymethylglutaryl-CoA Reductase InhibitorsOligonucleotide Array Sequence AnalysisPancreatic NeoplasmsTranscriptomeHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID28276528
PMCPMC5343581
OpenAlexW2594903924

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.