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Intra-Tumoral Metabolic Zonation and Resultant Phenotypic Diversification Are Dictated by Blood Vessel Proximity.
- Source :
-
Cell metabolism [Cell Metab] 2019 Jul 02; Vol. 30 (1), pp. 201-211.e6. Date of Electronic Publication: 2019 May 02. - Publication Year :
- 2019
-
Abstract
- Differential exposure of tumor cells to blood-borne and angiocrine factors results in diverse metabolic microenvironments conducive for non-genetic tumor cell diversification. Here, we harnessed a methodology for retrospective sorting of fully functional, stroma-free cancer cells solely on the basis of their relative distance from blood vessels (BVs) to unveil the whole spectrum of genes, metabolites, and biological traits impacted by BV proximity. In both grafted mouse tumors and natural human glioblastoma (GBM), mTOR activity was confined to few cell layers from the nearest perfused vessel. Cancer cells within this perivascular tier are distinguished by intense anabolic metabolism and defy the Warburg principle through exercising extensive oxidative phosphorylation. Functional traits acquired by perivascular cancer cells, namely, enhanced tumorigenicity, superior migratory or invasive capabilities, and, unexpectedly, exceptional chemo- and radioresistance, are all mTOR dependent. Taken together, the study revealed a previously unappreciated graded metabolic zonation directly impacting the acquisition of multiple aggressive tumor traits.<br /> (Copyright © 2019 Elsevier Inc. All rights reserved.)
- Subjects :
- Animals
Apoptosis physiology
Blood Vessels metabolism
Cell Line, Tumor
Cell Movement physiology
Cell Proliferation physiology
Cell Size
Cell Survival physiology
Flow Cytometry
Humans
Immunoblotting
Male
Mice
Mice, SCID
Mitochondria metabolism
Oxygen Consumption physiology
Principal Component Analysis
Glioblastoma metabolism
Metabolomics methods
Subjects
Details
- Language :
- English
- ISSN :
- 1932-7420
- Volume :
- 30
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Cell metabolism
- Publication Type :
- Academic Journal
- Accession number :
- 31056286
- Full Text :
- https://doi.org/10.1016/j.cmet.2019.04.003