Evidence map›Paper›PMID 28978620›Full record

ArticleMolecular systems biology2017

Míriam Tarrado-Castellarnau, Pedro de Atauri, Josep Tarragó-Celada, Jordi Perarnau, Mariia Yuneva, Timothy M Thomson, Marta Cascante

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

46 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Article
  3. Metabolic Imaging and Molecular Signatures Reveal Metabolic Phenotypes in Recurrent Glioblastoma.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
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  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Targeting CDK4/6 in breast cancer.Experimental & molecular medicine · 2025
    Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Metabolomics in Cell Biology.Handbook of experimental pharmacology · 2023
    Article
  20. Target c-Myc to treat pancreatic cancer.Cancer biology & therapy · 2022
    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 3 institutions in 2 countries.

Míriam Tarrado-CastellarnauDepartment of Biochemistry and Molecular Biomedicine, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain.
Pedro de AtauriDepartment of Biochemistry and Molecular Biomedicine, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain.ORCID 0000-0002-7754-7851
Josep Tarragó-CeladaDepartment of Biochemistry and Molecular Biomedicine, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain.
Jordi PerarnauDepartment of Biochemistry and Molecular Biomedicine, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain.
Mariia YunevaThe Francis Crick Institute, London, UK.
Timothy M ThomsonInstitute of Molecular Biology of Barcelona, National Research Council (IBMB-CSIC), Barcelona, Spain.
Marta CascanteDepartment of Biochemistry and Molecular Biomedicine, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain martacascante@ub.edu.ORCID 0000-0002-2062-4633
Institut Botànic de Barcelona · ESInstitut de Biologia Molecular de Barcelona · ESThe Francis Crick Institute · GB

Funding

Medical Research Council FC001223Wellcome Trust
6 · The paper itself

Abstract

Cyclin-dependent kinases (CDK) are rational cancer therapeutic targets fraught with the development of acquired resistance by tumor cells. Through metabolic and transcriptomic analyses, we show that the inhibition of CDK4/6 leads to a metabolic reprogramming associated with gene networks orchestrated by the MYC transcription factor. Upon inhibition of CDK4/6, an accumulation of MYC protein ensues which explains an increased glutamine metabolism, activation of the mTOR pathway and blunting of HIF-1α-mediated responses to hypoxia. These MYC-driven adaptations to CDK4/6 inhibition render cancer cells highly sensitive to inhibitors of MYC, glutaminase or mTOR and to hypoxia, demonstrating that metabolic adaptations to antiproliferative drugs unveil new vulnerabilities that can be exploited to overcome acquired drug tolerance and resistance by cancer cells.

Indexed as

Cell Line, TumorCyclin-Dependent Kinase 4Cyclin-Dependent Kinase 6Gene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksGlutamineHCT116 CellsHumansHypoxia-Inducible Factor 1, alpha SubunitMCF-7 CellsMetabolomicsNeoplasmsPiperazinesProtein Kinase InhibitorsProto-Oncogene Proteins c-mycCDK4 protein, humanCDK6 protein, humanCyclin-Dependent Kinase 4Cyclin-Dependent Kinase 6GlutamineHIF1A protein, humanHypoxia-Inducible Factor 1, alpha SubunitMTOR protein, humanMYC protein, humanpalbociclibPiperazinesProtein Kinase InhibitorsProto-Oncogene Proteins c-mycPyridinesTOR Serine-Threonine Kinases13C metabolic flux analysisCDK4/6glutaminaseMYCtumor metabolic reprogramming

Identifiers

PMID28978620
PMCPMC5658703
OpenAlexW2763416106

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.