» Articles » PMID: 31484055

Mechanisms and Implications of Metabolic Heterogeneity in Cancer

Overview
Journal Cell Metab
Publisher Cell Press
Date 2019 Sep 5
PMID 31484055
Citations 259
Authors
Affiliations
Soon will be listed here.
Abstract

Tumors display reprogrammed metabolic activities that promote cancer progression. We currently possess a limited understanding of the processes governing tumor metabolism in vivo and of the most efficient approaches to identify metabolic vulnerabilities susceptible to therapeutic targeting. While much of the literature focuses on stereotyped, cell-autonomous pathways like glycolysis, recent work emphasizes heterogeneity and flexibility of metabolism between tumors and even within distinct regions of solid tumors. Metabolic heterogeneity is important because it influences therapeutic vulnerabilities and may predict clinical outcomes. This Review describes current concepts about metabolic regulation in tumors, focusing on processes intrinsic to cancer cells and on factors imposed upon cancer cells by the tumor microenvironment. We discuss experimental approaches to identify subtype-selective metabolic vulnerabilities in preclinical cancer models. Finally, we describe efforts to characterize metabolism in primary human tumors, which should produce new insights into metabolic heterogeneity in the context of clinically relevant microenvironments.

Citing Articles

Metabolic Objectives and Trade-Offs: Inference and Applications.

Lin D, Khattar S, Chandrasekaran S Metabolites. 2025; 15(2).

PMID: 39997726 PMC: 11857637. DOI: 10.3390/metabo15020101.


Cell-cell heterogeneity in phosphoenolpyruvate carboxylase biases early cell fate priming in .

Abe K, Hashimura H, Hiraoka H, Fujishiro S, Kameya N, Taoka K Front Cell Dev Biol. 2025; 12:1526795.

PMID: 39968235 PMC: 11832675. DOI: 10.3389/fcell.2024.1526795.


Rhodoquinone carries electrons in the mammalian electron transport chain.

Valeros J, Jerome M, Tseyang T, Vo P, Do T, Fajardo Palomino D Cell. 2025; 188(4):1084-1099.e27.

PMID: 39909039 PMC: 11845293. DOI: 10.1016/j.cell.2024.12.007.


Multi-view multi-level contrastive graph convolutional network for cancer subtyping on multi-omics data.

Yang B, Cui C, Wang M, Ji H, Gao F Brief Bioinform. 2025; 26(1).

PMID: 39899598 PMC: 11789786. DOI: 10.1093/bib/bbaf043.


Molecular mechanism of genetic, epigenetic, and metabolic alteration in lung cancer.

Fatima S, Kumar V, Kumar D Med Oncol. 2025; 42(3):61.

PMID: 39893601 DOI: 10.1007/s12032-025-02608-5.


References
1.
Perou C, Sorlie T, Eisen M, van de Rijn M, Jeffrey S, Rees C . Molecular portraits of human breast tumours. Nature. 2000; 406(6797):747-52. DOI: 10.1038/35021093. View

2.
Wise D, Ward P, Shay J, Cross J, Gruber J, Sachdeva U . Hypoxia promotes isocitrate dehydrogenase-dependent carboxylation of α-ketoglutarate to citrate to support cell growth and viability. Proc Natl Acad Sci U S A. 2011; 108(49):19611-6. PMC: 3241793. DOI: 10.1073/pnas.1117773108. View

3.
Hyun K, Jeon J, Park K, Kim J . Writing, erasing and reading histone lysine methylations. Exp Mol Med. 2017; 49(4):e324. PMC: 6130214. DOI: 10.1038/emm.2017.11. View

4.
Chicklore S, Goh V, Siddique M, Roy A, Marsden P, Cook G . Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis. Eur J Nucl Med Mol Imaging. 2012; 40(1):133-40. DOI: 10.1007/s00259-012-2247-0. View

5.
Fischer K, Hoffmann P, Voelkl S, Meidenbauer N, Ammer J, Edinger M . Inhibitory effect of tumor cell-derived lactic acid on human T cells. Blood. 2007; 109(9):3812-9. DOI: 10.1182/blood-2006-07-035972. View