A micro-metabolic rewiring assay for assessing hypoxia-associated cancer metabolic heterogeneity
Cancer metabolism plays an essential role in therapeutic resistance, where significant inter- and intra-tumoral heterogeneity exists. Hypoxia is a prominent driver of metabolic rewiring behaviors and drug responses. Recapitulating the hypoxic landscape in the tumor microenvironment thus offers uniqu...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-06-01
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| Series: | Bioactive Materials |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2452199X25000866 |
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| Summary: | Cancer metabolism plays an essential role in therapeutic resistance, where significant inter- and intra-tumoral heterogeneity exists. Hypoxia is a prominent driver of metabolic rewiring behaviors and drug responses. Recapitulating the hypoxic landscape in the tumor microenvironment thus offers unique insights into heterogeneity in metabolic rewiring and therapeutic responses, to inform better treatment strategies. There remains a lack of scalable tools that can readily interface with imaging platforms and resolve the heterogeneous behaviors in hypoxia-associated metabolic rewiring. Here we present a micro-metabolic rewiring (μMeRe) assay that provides the scalability and resolution needed to characterize the metabolic rewiring behaviors of different cancer cells in the context of hypoxic solid tumors. Our assay generates hypoxia through cellular metabolism without external gas controls, enabling the characterization of cell-specific intrinsic ability to drive hypoxia and undergo metabolic rewiring. We further developed quantitative metrics that measure the metabolic plasticity through phenotypes and gene expression. As a proof-of-concept, we evaluated the efficacy of a metabolism-targeting strategy in mitigating hypoxia- and metabolic rewiring-induced chemotherapeutic resistance. Our study and the scalable platform thus lay the foundation for designing more effective cancer treatments tailored toward specific metabolic rewiring behaviors. |
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| ISSN: | 2452-199X |