Evidence map›Paper›PMID 28173837›Full record

ArticleBreast cancer research : BCR2017

Insulin-like growth factor 1 receptor activation promotes mammary gland tumor development by increasing glycolysis and promoting biomass production.

Bas Ter Braak, Christine L Siezen, Joo S Lee, Pooja Rao, Charlotte Voorhoeve, Eytan Ruppin, Jan Willem van der Laan, Bob van de Water

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.8field-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

18 citing papers in PubMed, 37 citations in OpenAlex.

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  14. Targeting acidity in cancer and diabetes.Biochimica et biophysica acta. Reviews on cancer · 2019
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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

8 authors at 5 institutions in 2 countries.

Bas Ter BraakDivision of Toxicology, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333, CC, Leiden, The Netherlands.
Christine L SiezenMedicines Evaluation Board (MEB), Graadt van Roggenweg 500, 3531, AH, Utrecht, The Netherlands.
Joo S LeeThe Blavatnik School of Computer Science, Tel-Aviv University, Tel Aviv, 69978, Israel.
Pooja RaoServiceXS, Plesmanlaan 1 /D, 2333, BZ, Leiden, The Netherlands.
Charlotte VoorhoeveDivision of Toxicology, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333, CC, Leiden, The Netherlands.
Eytan RuppinThe Blavatnik School of Computer Science, Tel-Aviv University, Tel Aviv, 69978, Israel.
Jan Willem van der LaanDivision of Toxicology, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333, CC, Leiden, The Netherlands. jw.vd.laan@cbg-meb.nl.
Bob van de WaterDivision of Toxicology, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333, CC, Leiden, The Netherlands. b.water@lacdr.leidenuniv.nl.
Leiden University · NLMedicines Evaluation Board · NLTel Aviv University · ILCentre for Human Drug Research · NLServiceXS (Netherlands) · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe insulin-like growth factor 1 (IGF1) signaling axis plays a major role in tumorigenesis. In a previous experiment, we chronically treated mice with several agonists of the IGF1 receptor (IGF1R). We found that chronic treatment with insulin analogues with high affinity towards the IGF1R (IGF1 and X10) decreased the mammary gland tumor latency time in a p53

methodsHere, we performed next-generation RNA sequencing (40 million, 100 bp reads) on 50 mammary gland tumors to unravel the underlying mechanisms of IGF1R-promoted tumorigenesis. Mutational profiling of the individual tumors was performed to screen for treatment-specific mutations. The transcriptomic data were used to construct a support vector machine (SVM) classifier so that the phenotypic characteristics of tumors exposed to the different insulin analogue treatments could be predicted. For translational purposes, we ran the same classifiers on transcriptomic (micro-array) data of insulin analogue-exposed human breast cancer cell lines. Genome-scale metabolic modeling was performed with iMAT.

resultsWe found that chronic X10 and IGF1 treatment resulted in tumors with an increased and sustained proliferative and invasive transcriptomic profile. Furthermore, a Warburg-like effect with increased glycolysis was observed in tumors of the X10/IGF1 groups and, to a lesser extent, also in glargine-induced tumors. A metabolic flux analysis revealed that this enhanced glycolysis programming in X10/IGF1 tumors was associated with increased biomass production programs. Although none of the treatments induced genetic instability or enhanced mutagenesis, mutations in Ezh2 and Hras were enriched in X10/IGF1 treatment tumors.

conclusionsOverall, these data suggest that the decreased mammary gland tumor latency time caused by chronic IGF1R activation is related to modulation of tumor progression rather than increased tumor initiation.

Indexed as

AnimalsBiomarkersBreast NeoplasmsCell Line, TumorCell MovementEnhancer of Zeste Homolog 2 ProteinEpithelial-Mesenchymal TransitionFemaleGene Expression ProfilingGlucoseGlycolysisInsulinInsulin-Like Growth Factor IMiceMice, TransgenicMutationBiomarkersEnhancer of Zeste Homolog 2 ProteinEzh2 protein, mouseGlucoseInsulinInsulin-Like Growth Factor Iras ProteinsReceptor, IGF Type 1Hallmarks of cancerIGF1RMammary gland tumorNext-generation sequencingWarburg

Identifiers

PMID28173837
PMCPMC5297135
OpenAlexW2586860896

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.