Liquid biopsy-based single-cell metabolic phenotyping of lung cancer patients for informative diagnostics

Non-invasive methods to predict treatment response are urgently needed. Here in lung cancer, the authors develop a single-cell on-chip cytometry method to metabolically phenotype disseminated tumor cells, revealing metabolic heterogeneity and predictors of therapy response and survival.

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Autores principales: Ziming Li, Zhuo Wang, Yin Tang, Xiang Lu, Jie Chen, Yu Dong, Baojun Wu, Chunying Wang, Liu Yang, Zhili Guo, Min Xue, Shun Lu, Wei Wei, Qihui Shi
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
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Acceso en línea:https://doaj.org/article/fc6306e74458427db8cad26bd5b3ccb6
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