Evidence map›Paper›PMID 25735853›Full record

ReviewBiochimica et biophysica acta2015

A liaison between mTOR signaling, ribosome biogenesis and cancer.

Antonio Gentilella, Sara C Kozma, George Thomas

Open access · greenAbstract readReview
In one paragraph

Review in Biochimica et biophysica acta, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

81 citing papers in PubMed, 112 citations in OpenAlex.

  1. Article
  2. The Prognostic and Biological Value of PGF-Based H&E Pathomics in Hepatocellular Carcinoma.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Built differently or defective: can RNA exosomopathies cause ribosome heterogeneity?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  10. Small nucleolar RNAs: the hidden precursors of cancer ribosomes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Polyploidy and mTOR signaling: a possible molecular link.Cell communication and signaling : CCS · 2024
    Review
  17. Article
  18. NOP16 promotes hepatocellular carcinoma progression and triggers EMT through the Keap1-Nrf2 signaling pathway.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024
    Article
  19. Article
  20. Article

21 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 2 countries.

Antonio GentilellaLaboratory of Metabolism and Cancer, Catalan Institute of Oncology, ICO, Bellvitge Biomedical Research Institute, IDIBELL, 08908 Barcelona, Spain. Electronic address: agentilella@idibell.cat.
Sara C KozmaLaboratory of Metabolism and Cancer, Catalan Institute of Oncology, ICO, Bellvitge Biomedical Research Institute, IDIBELL, 08908 Barcelona, Spain; Department of Internal Medicine, Division of Hematology/Oncology, University of Cincinnati Medical School, Cincinnati, 45267-0508 OH, USA.
George ThomasLaboratory of Metabolism and Cancer, Catalan Institute of Oncology, ICO, Bellvitge Biomedical Research Institute, IDIBELL, 08908 Barcelona, Spain; Department of Internal Medicine, Division of Hematology/Oncology, University of Cincinnati Medical School, Cincinnati, 45267-0508 OH, USA. Electronic address: gthomas@idibell.cat.
Institut d'Investigació Biomédica de Bellvitge · ESInstitut Català d'Oncologia · ES

Funding

The Function of rpL5 and rpL11 in induction of p53R01CA158768 · NCI · UNIVERSITY OF CINCINNATI · PI THOMAS, GEORGE · 2012 to 2017
$1.5M
NCI NIH HHS R01 CA158768NCI NIH HHS R01-CA158768
6 · The paper itself

Abstract

The ability to translate genetic information into functional proteins is considered a landmark in evolution. Ribosomes have evolved to take on this responsibility and, although there are some differences in their molecular make-up, both prokaryotes and eukaryotes share a common structural architecture and similar underlying mechanisms of protein synthesis. Understanding ribosome function and biogenesis has been the focus of extensive research since the early days of their discovery. In the last decade however, new and unexpected roles have emerged that place deregulated ribosome biogenesis and protein synthesis at the crossroads of pathological settings, particularly cancer, revealing a set of novel cellular checkpoints. Moreover, it is also becoming evident that mTOR signaling, which regulates an array of anabolic processes, including ribosome biogenesis, is often exploited by cancer cells to sustain proliferation through the upregulation of global protein synthesis. The use of pharmacological agents that interfere with ribosome biogenesis and mTOR signaling has proven to be an effective strategy to control cancer development clinically. Here we discuss the most recent findings concerning the underlying mechanisms by which mTOR signaling controls ribosome production and the potential impact of ribosome biogenesis in tumor development. This article is part of a Special Issue entitled: Translation and Cancer.

Indexed as

Protein BiosynthesisSignal TransductionAnimalsHumansNeoplasm ProteinsNeoplasmsRibosomesTOR Serine-Threonine KinasesMTOR protein, humanNeoplasm ProteinsTOR Serine-Threonine KinasesCancermTORRibosomal proteinRibosome biogenesis

Identifiers

PMID25735853
PMCPMC4766360
OpenAlexW1975270978

What OpenQuestion holds

Textmetadata
LicenceTDM
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.