Deciphering genetic and nongenetic factors underlying tumour dormancy: insights from multiomics analysis of two syngeneic MRD models of melanoma and leukemia

Our study underscores the complexity of tumour dormancy, implicating both genetic and nongenetic factors. By comparing genomic, transcriptomic, proteomic, and epigenomic datasets, our study provides a comprehensive understanding of the molecular landscape of minimal residual disease. These results provide a robust foundation for forthcoming investigations and offer potential avenues for the advancement of targeted MRD therapies in leukemia and melanoma patients, emphasizing the importance of considering both genetic and nongenetic factors in treatment strategies.

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Publication Details

Journal
Biological Research
Published
2024-09-03
DOI
https://doi.org/10.1186/s40659-024-00540-y
Citations
4
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
1.14

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article

Deciphering genetic and nongenetic factors underlying tumour dormancy: insights from multiomics analysis of two syngeneic MRD models of melanoma and leukemia

Jérôme Kluza, Jean‐Pascal Gimeno, Sofia Titah, Faruk Azam Shaik et al.
4 citations
Biological Research
Cancer Genomics and Diagnostics
1.14
article

Deciphering genetic and nongenetic factors underlying tumour dormancy: insights from multiomics analysis of two syngeneic MRD models of melanoma and leukemia

Jérôme Kluza, Jean‐Pascal Gimeno, Sofia Titah, Faruk Azam Shaik, Mehmet C. Tarhan, Isabelle Fournier, Yasmine Touil, Salomon Manier, Dominique Collard, Shéhérazade Sebda, Frédéric Leprêtre, Audrey Vincent, Pascaline Ségard, Marie-Océane Laguillaumie, William Laine, Céline Villenet, Jean-Claude Gerbedoen, Bruno Quesnel, Aurélie Guillemette, Lama Hasan Bou Issa, Bernadette Neve, Maxence Wisztorski, Léa Fléchon, Thierry Idziorek, Martin Figeac
article en
4 citations

Abstract

Our study underscores the complexity of tumour dormancy, implicating both genetic and nongenetic factors. By comparing genomic, transcriptomic, proteomic, and epigenomic datasets, our study provides a comprehensive understanding of the molecular landscape of minimal residual disease. These results provide a robust foundation for forthcoming investigations and offer potential avenues for the advancement of targeted MRD therapies in leukemia and melanoma patients, emphasizing the importance of considering both genetic and nongenetic factors in treatment strategies.

Biological ResearchVol. 57(1)
Centre National de la Recherche Scientifique (FR), Inserm (FR), Université de Lille (FR), Institut Pasteur de Lille (FR), Centre Hospitalier Universitaire de Lille (FR), Laboratory for Integrated Micro-Mechatronic Systems (JP), JUNIA (FR), Institut d'Electronique, de Microélectronique et de Nanotechnologie (FR), Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (FR), CANTHER - Hétérogénéité, Plasticité et Résistance aux Thérapies des Cancers (FR), Université Polytechnique Hauts-de-France (FR), École Centrale de Lille (FR), The University of Tokyo (JP)
Université de Lille, Agence Nationale de la Recherche, Institut National de la Santé et de la Recherche Médicale, Fondation ARC pour la Recherche sur le Cancer, Ligue Contre le Cancer, Centre National de la Recherche Scientifique, Institut National Du Cancer, Direction Générale de l’offre de Soins, Région Hauts-de-France, Servier
Good health and well-being
Openalex Percentile: Top 21%
Cancer Genomics and Diagnostics
1.14
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