Englander Institute for Precision Medicine

A multimodal atlas of tumour metabolism reveals the architecture of gene-metabolite covariation.

TitleA multimodal atlas of tumour metabolism reveals the architecture of gene-metabolite covariation.
Publication TypeJournal Article
Year of Publication2023
AuthorsBenedetti E, Liu EMinwei, Tang C, Kuo F, Buyukozkan M, Park T, Park J, Correa F, A Hakimi A, Intlekofer AM, Krumsiek J, Reznik E
JournalNat Metab
Volume5
Issue6
Pagination1029-1044
Date Published2023 Jun
ISSN2522-5812
KeywordsGene Expression Profiling, Humans, Metabolome, Metabolomics, Neoplasms, Transcriptome, Tumor Microenvironment
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.

DOI10.1038/s42255-023-00817-8
Alternate JournalNat Metab
PubMed ID37337120
PubMed Central IDPMC10290959
Grant ListP30 CA008748 / CA / NCI NIH HHS / United States
R03 CA252674 / CA / NCI NIH HHS / United States
R37 CA276200 / CA / NCI NIH HHS / United States

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