ArticleCell reports2021
Systematic alteration of in vitro metabolic environments reveals empirical growth relationships in cancer cell phenotypes.
Article in Cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Provision of preferred nutrients to macrophages promotes Salmonella intracellular replication without relying on Type III secretion systems.PLoS pathogens · 2026Article
- Overflow metabolism in bacterial, yeast, and mammalian cells: different names, same game.Molecular systems biology · 2025Review
- What's on the menu?: metabolic constraints in the pancreatic tumor microenvironment.The Journal of clinical investigation · 2025Review
- InactivatedFrontiers in immunology · 2025Article
- Cell Population Growth Kinetics in the Presence of Stochastic Heterogeneity of Cell Phenotype.ArXiv · 2023Article
- Shaping bacterial gene expression by physiological and proteome allocation constraints.Nature reviews. Microbiology · 2023Review
- Article
- Resource allocation in mammalian systems.Biotechnology advancesReview
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Authors and funding
6 authors.
Funding
Abstract
Cancer cells, like microbes, live in complex metabolic environments. Recent evidence suggests that microbial behavior across metabolic environments is well described by simple empirical growth relationships, or growth laws. Do such empirical growth relationships also exist in cancer cells? To test this question, we develop a high-throughput approach to extract quantitative measurements of cancer cell behaviors in systematically altered metabolic environments. Using this approach, we examine relationships between growth and three frequently studied cancer phenotypes: drug-treatment survival, cell migration, and lactate overflow. Drug-treatment survival follows simple linear growth relationships, which differ quantitatively between chemotherapeutics and EGFR inhibition. Cell migration follows a weak grow-and-go growth relationship, with substantial deviation in some environments. Finally, lactate overflow is mostly decoupled from growth rate and is instead determined by the cells' ability to maintain high sugar uptake rates. Altogether, this work provides a quantitative approach for formulating empirical growth laws of cancer.
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