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Ribosomal RNA 2'O-methylation as a novel layer of inter-tumour heterogeneity in breast cancer.
Marcel, Virginie; Kielbassa, Janice; Marchand, Virginie; Natchiar, Kundhavai S; Paraqindes, Hermes; Nguyen Van Long, Flora; Ayadi, Lilia; Bourguignon-Igel, Valérie; Lo Monaco, Piero; Monchiet, Déborah; Scott, Véronique; Tonon, Laurie; Bray, Susan E; Diot, Alexandra; Jordan, Lee B; Thompson, Alastair M; Bourdon, Jean-Christophe; Dubois, Thierry; André, Fabrice; Catez, Frédéric; Puisieux, Alain; Motorin, Yuri; Klaholz, Bruno P; Viari, Alain; Diaz, Jean-Jacques.
Afiliação
  • Marcel V; Univ Lyon, Université Claude Bernard Lyon 1, Inserm 1052, CNRS 5286, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, 69008 Lyon, France.
  • Kielbassa J; Synergie Lyon Cancer, Gilles Thomas Bioinformatics Platform, Centre Léon Bérard, 69008 Lyon, France.
  • Marchand V; UMS2008 IBSLor CNRS-INSERM-Lorraine University, Biopôle, 9 avenue de la forêt de haye, 54505 Vandoeuvre-les-Nancy, France.
  • Natchiar KS; Centre for Integrative Biology (CBI), Department of Integrated Structural Biology, IGBMC, CNRS, Inserm, Université de Strasbourg, 1 rue Laurent Fries, 67404 Illkirch, France.
  • Paraqindes H; Univ Lyon, Université Claude Bernard Lyon 1, Inserm 1052, CNRS 5286, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, 69008 Lyon, France.
  • Nguyen Van Long F; Univ Lyon, Université Claude Bernard Lyon 1, Inserm 1052, CNRS 5286, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, 69008 Lyon, France.
  • Ayadi L; UMS2008 IBSLor CNRS-INSERM-Lorraine University, Biopôle, 9 avenue de la forêt de haye, 54505 Vandoeuvre-les-Nancy, France.
  • Bourguignon-Igel V; UMS2008 IBSLor CNRS-INSERM-Lorraine University, Biopôle, 9 avenue de la forêt de haye, 54505 Vandoeuvre-les-Nancy, France.
  • Lo Monaco P; Univ Lyon, Université Claude Bernard Lyon 1, Inserm 1052, CNRS 5286, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, 69008 Lyon, France.
  • Monchiet D; Univ Lyon, Université Claude Bernard Lyon 1, Inserm 1052, CNRS 5286, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, 69008 Lyon, France.
  • Scott V; Predictive biomarkers and novel therapeutic strategies Group, Institut Gustave Roussy, University of Paris Sud, INSERM 981, Université Paris Saclay, 114 rue Edouard Vaillant, 94800 Villejuif, France.
  • Tonon L; Synergie Lyon Cancer, Gilles Thomas Bioinformatics Platform, Centre Léon Bérard, 69008 Lyon, France.
  • Bray SE; Tayside Tissue Bank, Ninewells Hospital and Medical School, NHS Tayside, Dundee DD1 9SY, Scotland, UK.
  • Diot A; Division of Cancer Research, University of Dundee, Ninewells Hospital and Medical School, Dundee DD1 9SY, Scotland, UK.
  • Jordan LB; Department of Pathology, University of Dundee, Ninewells Hospital and Medical School, Dundee DD1 9SY, UK.
  • Thompson AM; Division of Cancer Research, University of Dundee, Ninewells Hospital and Medical School, Dundee DD1 9SY, Scotland, UK.
  • Bourdon JC; Division of Cancer Research, University of Dundee, Ninewells Hospital and Medical School, Dundee DD1 9SY, Scotland, UK.
  • Dubois T; Breast Cancer Biology Group, Translational Research Department, Institut Curie-PSL Research University, 26 rue d'Ulm, 75005 Paris, France.
  • André F; Predictive biomarkers and novel therapeutic strategies Group, Institut Gustave Roussy, University of Paris Sud, INSERM 981, Université Paris Saclay, 114 rue Edouard Vaillant, 94800 Villejuif, France.
  • Catez F; Univ Lyon, Université Claude Bernard Lyon 1, Inserm 1052, CNRS 5286, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, 69008 Lyon, France.
  • Puisieux A; Univ Lyon, Université Claude Bernard Lyon 1, Inserm 1052, CNRS 5286, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, 69008 Lyon, France.
  • Motorin Y; UMS2008 IBSLor CNRS-INSERM-Lorraine University, Biopôle, 9 avenue de la forêt de haye, 54505 Vandoeuvre-les-Nancy, France.
  • Klaholz BP; Centre for Integrative Biology (CBI), Department of Integrated Structural Biology, IGBMC, CNRS, Inserm, Université de Strasbourg, 1 rue Laurent Fries, 67404 Illkirch, France.
  • Viari A; Synergie Lyon Cancer, Gilles Thomas Bioinformatics Platform, Centre Léon Bérard, 69008 Lyon, France.
  • Diaz JJ; Univ 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 ; 2(4): zcaa036, 2020 Dec.
Article em En | MEDLINE | ID: mdl-34316693
ABSTRACT
Recent epitranscriptomics studies unravelled that ribosomal RNA (rRNA) 2'O-methylation is an additional layer of gene expression regulation highlighting the ribosome as a novel actor of translation control. However, this major finding lies on evidences coming mainly, if not exclusively, from cellular models. Using the innovative next-generation RiboMeth-seq technology, we established the first rRNA 2'O-methylation landscape in 195 primary human breast tumours. We uncovered the existence of compulsory/stable sites, which show limited inter-patient variability in their 2'O-methylation level, which map on functionally important sites of the human ribosome structure and which are surrounded by variable sites found from the second nucleotide layers. Our data demonstrate that some positions within the rRNA molecules can tolerate absence of 2'O-methylation in tumoral and healthy tissues. We also reveal that rRNA 2'O-methylation exhibits intra- and inter-patient variability in breast tumours. Its level is indeed differentially associated with breast cancer subtype and tumour grade. Altogether, our rRNA 2'O-methylation profiling of a large-scale human sample collection provides the first compelling evidence that ribosome variability occurs in humans and suggests that rRNA 2'O-methylation might represent a relevant element of tumour biology useful in clinic. This novel variability at molecular level offers an additional layer to capture the cancer heterogeneity and associates with specific features of tumour biology thus offering a novel targetable molecular signature in cancer.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article