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January 14, 2026Frontiers in Genetics2 citationsOpen Access

Ribosome plasticity in glioblastoma: a multi-omics framework for future investigation

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DBDario BenelliCBChristian BarbatoCCCarlo Cogoni

Key Points

  • This review aims to investigate how ribosomal protein variation contributes to plasticity in glioblastoma.
  • Reviewed existing literature on ribosomal proteins and their variation in glioblastoma.
  • Analyzed multi-omics approaches including transcriptomics, proteomics, and translatomics.
  • Summarized interpretations and uncertainties around ribosomal protein regulation.
  • Highlighted that ribosomal proteins vary across tumor regions and under stress.
  • Indicated that the roles of ribosomal proteins could be regulatory or reflective of environmental pressures.
  • Outlined gaps in knowledge that highlight the potential for future research in ribosome dynamics.

Abstract

Glioblastoma (GBM) remains a challenging tumour to mechanistically dissect, in part because of its capacity to adapt to hypoxia, metabolic imbalance and therapeutic pressure. Across cancer biology more broadly, attention has increasingly turned to ribosomal proteins (RPs). Although long regarded as stable structural components of the ribosome, several RPs show variation across tumour regions, stress states and differentiation trajectories. In some cancers, specific RPs have been mechanistically linked to selective translation or cell-state transitions, whereas in others the evidence remains largely associative. Overall, current observations leave open the question of whether RP variation reflects active regulatory roles or instead mirrors the broader physiological pressures experienced by malignant cells. In this mini review, we summarise what multi-omics approaches—including transcriptomics, proteomics and translatomics—currently reveal about RP regulation in GBM. Rather than making firm causal claims, we outline the main interpretations proposed so far, the uncertainties that complicate them and the conceptual gaps that keep the field open. Our aim is to provide a balanced and cautious overview that may help frame future work on how ribosomal components and the translational machinery could contribute to GBM plasticity.

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Cite This Study

Benelli et al. (2026) studied this question.

synapsesocial.com/papers/696731a9405eccf83e67509ehttps://doi.org/10.3389/fgene.2025.1756452
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