Ribosomal RNA 2'O-methylation as a novel layer of inter-tumour heterogeneity in breast cancer

Virginie Marcel1, Janice Kielbassa2, Virginie Marchand3

  • 1Univ Lyon, Université Claude Bernard Lyon 1, Inserm 1052, CNRS 5286, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, 69008 Lyon, France.

NAR Cancer
|July 28, 2021
PubMed

Insights

Epitranscriptomics reveals ribosomal RNA (rRNA) 2'O-methylation patterns in human breast tumors. This methylation variability is linked to cancer subtypes and tumor grade, offering a new molecular signature for cancer research.

Area of Science:

  • Molecular Biology
  • Genetics
  • Cancer Research

Background:

  • Epitranscriptomics studies show ribosomal RNA (rRNA) 2'O-methylation regulates gene expression.
  • Previous findings primarily relied on cellular models, lacking in vivo human data.
  • The ribosome's role in translation control is a growing area of research.

Purpose of the Study:

  • To establish the first comprehensive rRNA 2'O-methylation landscape in primary human breast tumors.
  • To investigate the variability and clinical relevance of rRNA 2'O-methylation in breast cancer.
  • To explore rRNA 2'O-methylation as a potential biomarker for cancer heterogeneity.

Main Methods:

  • Utilized next-generation RiboMeth-seq technology.
  • Analyzed rRNA 2'O-methylation patterns in 195 primary human breast tumors.
  • Correlated methylation levels with breast cancer subtype and tumor grade.

Main Results:

  • Identified compulsory/stable and variable rRNA 2'O-methylation sites.
  • Demonstrated intra- and inter-patient variability in rRNA 2'O-methylation within tumors.
  • Found differential association of rRNA 2'O-methylation levels with cancer subtype and tumor grade.
  • Showed that some rRNA sites tolerate the absence of 2'O-methylation in both tumoral and healthy tissues.

Conclusions:

  • Provides the first evidence of ribosome variability in human breast cancer.
  • Suggests rRNA 2'O-methylation is a relevant factor in tumor biology and potentially useful in clinical settings.
  • Highlights rRNA 2'O-methylation variability as a novel targetable molecular signature for capturing cancer heterogeneity.

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