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dc.contributor.authorPeng, X
dc.contributor.authorChen, Z
dc.contributor.authorFarshidfar, F
dc.contributor.authorXu, X
dc.contributor.authorLorenzi, PL
dc.contributor.authorWang, Y
dc.contributor.authorCheng, F
dc.contributor.authorTan, L
dc.contributor.authorMojumdar, K
dc.contributor.authorDu, D
dc.contributor.authorGe, Z
dc.contributor.authorLi, J
dc.contributor.authorThomas, GV
dc.contributor.authorBirsoy, K
dc.contributor.authorLiu, L
dc.contributor.authorZhang, H
dc.contributor.authorZhao, Z
dc.contributor.authorMarchand, C
dc.contributor.authorWeinstein, JN
dc.contributor.authorBathe, OF
dc.contributor.authorLiang, H
dc.date.accessioned2020-12-10T00:39:27Z
dc.date.available2020-12-10T00:39:27Z
dc.date.issued2018-04-03
dc.identifierpii: S2211-1247(18)30438-8
dc.identifier.citationPeng, X., Chen, Z., Farshidfar, F., Xu, X., Lorenzi, P. L., Wang, Y., Cheng, F., Tan, L., Mojumdar, K., Du, D., Ge, Z., Li, J., Thomas, G. V., Birsoy, K., Liu, L., Zhang, H., Zhao, Z., Marchand, C., Weinstein, J. N. ,... Liang, H. (2018). Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers. CELL REPORTS, 23 (1), pp.255-+. https://doi.org/10.1016/j.celrep.2018.03.077.
dc.identifier.issn2211-1247
dc.identifier.urihttp://hdl.handle.net/11343/253539
dc.description.abstractMetabolic reprogramming provides critical information for clinical oncology. Using molecular data of 9,125 patient samples from The Cancer Genome Atlas, we identified tumor subtypes in 33 cancer types based on mRNA expression patterns of seven major metabolic processes and assessed their clinical relevance. Our metabolic expression subtypes correlated extensively with clinical outcome: subtypes with upregulated carbohydrate, nucleotide, and vitamin/cofactor metabolism most consistently correlated with worse prognosis, whereas subtypes with upregulated lipid metabolism showed the opposite. Metabolic subtypes correlated with diverse somatic drivers but exhibited effects convergent on cancer hallmark pathways and were modulated by highly recurrent master regulators across cancer types. As a proof-of-concept example, we demonstrated that knockdown of SNAI1 or RUNX1-master regulators of carbohydrate metabolic subtypes-modulates metabolic activity and drug sensitivity. Our study provides a system-level view of metabolic heterogeneity within and across cancer types and identifies pathway cross-talk, suggesting related prognostic, therapeutic, and predictive utility.
dc.languageEnglish
dc.publisherCELL PRESS
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.titleMolecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers
dc.typeJournal Article
dc.identifier.doi10.1016/j.celrep.2018.03.077
melbourne.affiliation.departmentSir Peter MacCallum Department of Oncology
melbourne.affiliation.departmentSurgery (RMH)
melbourne.affiliation.facultyMedicine, Dentistry & Health Sciences
melbourne.source.titleCell Reports
melbourne.source.volume23
melbourne.source.issue1
melbourne.source.pages255-+
dc.rights.licenseCC BY-NC-ND
melbourne.elementsid1321313
dc.identifier.eissn2211-1247
melbourne.accessrightsOpen Access


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