Evidence map›Paper›PMID 40045783›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2025

Ribosome specialization by cancer-associated ribosomal protein mutations: progress made and open questions.

Marino Caruso, Kim De Keersmaecker

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2025. 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
–field-weighted citation impact
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.

  1. Review
  2. Article
  3. Review
  4. Article
  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

2 authors.

Marino CarusoLaboratory for Disease Mechanisms in Cancer, Department of Oncology, KU Leuven, Leuven 3000, Belgium.ORCID 0000-0003-2572-9175
Kim De KeersmaeckerLaboratory for Disease Mechanisms in Cancer, Department of Oncology, KU Leuven, Leuven 3000, Belgium.ORCID 0000-0002-7420-9531

Funding

European Hematology AssociationFonds Wetenschappelijk Onderzoek
6 · The paper itself

Abstract

Congenital mutations in ribosomal proteins (RPs) cause Diamond-Blackfan anaemia (DBA) syndrome. Whereas DBA patients suffer from anaemia and disease symptoms owing to a lack of cell proliferation (hypo-proliferation) early in life, they have a significantly elevated risk of developing cancer (a disease of hyper-proliferation) at a later age. The association between ribosome defects and cancer is further underscored by animal models in which heterozygous RP loss promotes tumourigenesis, as well as by a variety of somatic RP mutations that have been described in haematological and solid malignancies. As discussed in this article, we have gained deeper insight into molecular mechanisms by which RP mutations can be associated with hypo- followed by hyper-proliferation phenotypes. Factors such as oxidative stress and DNA damage, onco-ribosome specialization with hyper-translation of oncogenes and altered extra-ribosomal functions seem essential. However, many questions still remain and more research is needed to explore to what extent different cancer-associated RP mutations can structurally and functionally specialize ribosomes into onco-ribosomes, and what opportunities this can provide to develop innovative cancer therapies.This article is part of the discussion meeting issue 'Ribosome diversity and its impact on protein synthesis, development and disease'.

Indexed as

Anemia, Diamond-BlackfanMutationNeoplasmsRibosomal ProteinsRibosomesAnimalsHumansRibosomal ProteinscancerHH2Moxidative stressribosomal proteinstranslational dysregulation

Identifiers

PMID40045783
PMCPMC11883432

What OpenQuestion holds

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Registered trials

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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.