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For: Gómez-Cebrián N, Domingo-Ortí I, Poveda JL, Vicent MJ, Puchades-Carrasco L, Pineda-Lucena A. Multi-Omic Approaches to Breast Cancer Metabolic Phenotyping: Applications in Diagnosis, Prognosis, and the Development of Novel Treatments. Cancers (Basel) 2021;13:4544. [PMID: 34572770 DOI: 10.3390/cancers13184544] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Ye X, Zhu B, Chen Y, Wang Y, Wang D, Zhao Z, Li Z. Integrated Metabolomics and Lipidomics Approach for the Study of Metabolic Network and Early Diagnosis in Cerebral Infarction. J Proteome Res 2022. [PMID: 36264770 DOI: 10.1021/acs.jproteome.2c00348] [Reference Citation Analysis]
2 Vicente-muñoz S, Hunt BG, Lange TE, Wells SI, Waltz SE. NMR-based metabolomic analysis identifies RON-DEK-β-catenin dependent metabolic pathways and a gene signature that stratifies breast cancer patient survival. PLoS ONE 2022;17:e0274128. [DOI: 10.1371/journal.pone.0274128] [Reference Citation Analysis]
3 Campioni G, Pasquale V, Busti S, Ducci G, Sacco E, Vanoni M. An Optimized Workflow for the Analysis of Metabolic Fluxes in Cancer Spheroids Using Seahorse Technology. Cells 2022;11:866. [DOI: 10.3390/cells11050866] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Qin X, Hakenjos JM, Li F. LC-MS-Based Metabolomics in the Identification of Biomarkers Pertaining to Drug Toxicity: A New Narrative. Biomarkers in Toxicology 2022. [DOI: 10.1007/978-3-030-87225-0_34-1] [Reference Citation Analysis]