Evidence map›Paper›PMID 26187749›Full record

ArticleBreast cancer research : BCR2015

Alternative signaling network activation through different insulin receptor family members caused by pro-mitogenic antidiabetic insulin analogues in human mammary epithelial cells.

Bas ter Braak, Steven Wink, Esmee Koedoot, Chantal Pont, Christine Siezen, Jan Willem van der Laan, Bob van de Water

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Lipid mediators of insulin signaling in diabetic kidney disease.American journal of physiology. Renal physiology · 2019
    Review
  3. Article
  4. Review
  5. 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

7 authors at 2 institutions in 1 country.

Bas ter BraakDivision of Toxicology, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, Leiden, 2333 CC, The Netherlands. basterbraak@gmail.com.
Steven WinkDivision of Toxicology, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, Leiden, 2333 CC, The Netherlands. s.wink.3@lacdr.leidenuniv.nl.
Esmee KoedootDivision of Toxicology, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, Leiden, 2333 CC, The Netherlands. e.koedoot@lacdr.leidenuniv.nl.
Chantal PontDivision of Toxicology, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, Leiden, 2333 CC, The Netherlands. c.pont@lacdr.leidenuniv.nl.
Christine SiezenMedicines Evaluation Board (MEB), Graadt van Roggenweg 500, Utrecht, 3531 AH, The Netherlands. cl.siezen@cbg-meb.nl.
Jan Willem van der LaanDivision of Toxicology, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, Leiden, 2333 CC, The Netherlands. jw.vd.laan@cbg-meb.nl.
Bob van de WaterDivision of Toxicology, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, Leiden, 2333 CC, The Netherlands. b.water@lacdr.leidenuniv.nl.
Leiden University · NLMedicines Evaluation Board · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInsulin analogues are designed to have improved pharmacokinetic parameters compared to regular human insulin. This provides a sustained control of blood glucose levels in diabetic patients. All novel insulin analogues are tested for their mitogenic side effects, however these assays do not take into account the molecular mode of action of different insulin analogues. Insulin analogues can bind the insulin receptor and the insulin-like growth factor 1 receptor with different affinities and consequently will activate different downstream signaling pathways.

methodsHere we used a panel of MCF7 human breast cancer cell lines that selectively express either one of the isoforms of the INSR or the IGF1R. We applied a transcriptomics approach to assess the differential transcriptional programs activated in these cells by either insulin, IGF1 or X10 treatment.

resultsBased on the differentially expressed genes between insulin versus IGF1 and X10 treatment, we retrieved a mitogenic classifier gene set. Validation by RT-qPCR confirmed the robustness of this gene set. The translational potential of these mitogenic classifier genes was examined in primary human mammary cells and in mammary gland tissue of mice in an in vivo model. The predictive power of the classifier genes was evaluated by testing all commercial insulin analogues in the in vitro model and defined X10 and glargine as the most potent mitogenic insulin analogues.

conclusionsWe propose that these mitogenic classifier genes can be used to test the mitogenic potential of novel insulin analogues as well as other alternative molecules with an anticipated affinity for the IGF1R.

Indexed as

AnimalsAntigens, CDBreast NeoplasmsCell Line, TumorDiabetes MellitusEpithelial CellsFemaleHumansHypoglycemic AgentsInsulinInsulin-Like Growth Factor IMammary Glands, HumanMCF-7 CellsMiceReceptor, IGF Type 1Receptor, InsulinAntigens, CDHypoglycemic AgentsINSR protein, humanInsulinInsulin-Like Growth Factor IReceptor, IGF Type 1Receptor, Insulin

Identifiers

PMID26187749
PMCPMC4506606
OpenAlexW1855879560

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.