| Literature DB >> 33498690 |
Josep Tarragó-Celada1, Carles Foguet1,2, Míriam Tarrado-Castellarnau1,2, Silvia Marin1,2, Xavier Hernández-Alias1,3, Jordi Perarnau1, Fionnuala Morrish3, David Hockenbery3, Roger R Gomis4,5,6,7, Eytan Ruppin8, Mariia Yuneva9, Pedro de Atauri1,2, Marta Cascante1,2,4.
Abstract
With most cancer-related deaths resulting from metastasis, the development of new therapeutic approaches against metastatic colorectal cancer (mCRC) is essential to increasing patient survival. The metabolic adaptations that support mCRC remain undefined and their elucidation is crucial to identify potential therapeutic targets. Here, we employed a strategy for the rational identification of targetable metabolic vulnerabilities. This strategy involved first a thorough metabolic characterisation of same-patient-derived cell lines from primary colon adenocarcinoma (SW480), its lymph node metastasis (SW620) and a liver metastatic derivative (SW620-LiM2), and second, using a novel multi-omics integration workflow, identification of metabolic vulnerabilities specific to the metastatic cell lines. We discovered that the metastatic cell lines are selectively vulnerable to the inhibition of cystine import and folate metabolism, two key pathways in redox homeostasis. Specifically, we identified the system xCT and MTHFD1 genes as potential therapeutic targets, both individually and combined, for combating mCRC.Entities:
Keywords: colorectal cancer; genome-scale metabolic models; metastasis; redox metabolism
Year: 2021 PMID: 33498690 PMCID: PMC7866204 DOI: 10.3390/cancers13030425
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639