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A multimodal atlas of tumour metabolism reveals the architecture of gene-metabolite covariation.
Benedetti, Elisa; Liu, Eric Minwei; Tang, Cerise; Kuo, Fengshen; Buyukozkan, Mustafa; Park, Tricia; Park, Jinsung; Correa, Fabian; Hakimi, A Ari; Intlekofer, Andrew M; Krumsiek, Jan; Reznik, Ed.
Afiliación
  • Benedetti E; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Liu EM; Institute of Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
  • Tang C; Computational Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Kuo F; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Buyukozkan M; Computational Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Park T; Department of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Park J; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Correa F; Institute of Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
  • Hakimi AA; Computational Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Intlekofer AM; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Krumsiek J; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Reznik E; Department of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nat Metab ; 5(6): 1029-1044, 2023 06.
Article en En | MEDLINE | ID: mdl-37337120
ABSTRACT
Tumour metabolism is controlled by coordinated changes in metabolite abundance and gene expression, but simultaneous quantification of metabolites and transcripts in primary tissue is rare. To overcome this limitation and to study gene-metabolite covariation in cancer, we assemble the Cancer Atlas of Metabolic Profiles of metabolomic and transcriptomic data from 988 tumour and control specimens spanning 11 cancer types in published and newly generated datasets. Meta-analysis of the Cancer Atlas of Metabolic Profiles reveals two classes of gene-metabolite covariation that transcend cancer types. The first corresponds to gene-metabolite pairs engaged in direct enzyme-substrate interactions, identifying putative genes controlling metabolite pool sizes. A second class of gene-metabolite covariation represents a small number of hub metabolites, including quinolinate and nicotinamide adenine dinucleotide, which correlate to many genes specifically expressed in immune cell populations. These results provide evidence that gene-metabolite covariation in cellularly heterogeneous tissue arises, in part, from both mechanistic interactions between genes and metabolites, and from remodelling of the bulk metabolome in specific immune microenvironments.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Metabolómica / Neoplasias Tipo de estudio: Systematic_reviews Límite: Humans Idioma: En Revista: Nat Metab Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Metabolómica / Neoplasias Tipo de estudio: Systematic_reviews Límite: Humans Idioma: En Revista: Nat Metab Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos