Intra-Tumoral Metabolic Zonation and Resultant Phenotypic Diversification Are Dictated by Blood Vessel Proximity.


Journal

Cell metabolism
ISSN: 1932-7420
Titre abrégé: Cell Metab
Pays: United States
ID NLM: 101233170

Informations de publication

Date de publication:
02 07 2019
Historique:
received: 08 07 2018
revised: 05 02 2019
accepted: 07 04 2019
pubmed: 6 5 2019
medline: 1 9 2020
entrez: 7 5 2019
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 31056286
pii: S1550-4131(19)30187-1
doi: 10.1016/j.cmet.2019.04.003
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

201-211.e6

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Saran Kumar (S)

Department of Developmental Biology and Cancer Research, Faculty of Medicine, The Hebrew University, Hadassah Medical School, Jerusalem 91120, Israel.

Husni Sharife (H)

Department of Developmental Biology and Cancer Research, Faculty of Medicine, The Hebrew University, Hadassah Medical School, Jerusalem 91120, Israel.

Tirzah Kreisel (T)

Department of Developmental Biology and Cancer Research, Faculty of Medicine, The Hebrew University, Hadassah Medical School, Jerusalem 91120, Israel.

Maxim Mogilevsky (M)

Department of Biochemistry and Molecular Biology, The Hebrew University, Hadassah Medical School, Jerusalem 91120, Israel.

Libat Bar-Lev (L)

Department of Developmental Biology and Cancer Research, Faculty of Medicine, The Hebrew University, Hadassah Medical School, Jerusalem 91120, Israel.

Myriam Grunewald (M)

Department of Developmental Biology and Cancer Research, Faculty of Medicine, The Hebrew University, Hadassah Medical School, Jerusalem 91120, Israel.

Elina Aizenshtein (E)

Department of Computer Science and Department of Biology, Technion, Israel Institute of Technology, Haifa 32000, Israel.

Rotem Karni (R)

Department of Biochemistry and Molecular Biology, The Hebrew University, Hadassah Medical School, Jerusalem 91120, Israel.

Iddo Paldor (I)

Department of Neurosurgery, Hadassah University Hospital, Ein-Kerem, Jerusalem 91120, Israel.

Tomer Shlomi (T)

Department of Computer Science and Department of Biology, Technion, Israel Institute of Technology, Haifa 32000, Israel.

Eli Keshet (E)

Department of Developmental Biology and Cancer Research, Faculty of Medicine, The Hebrew University, Hadassah Medical School, Jerusalem 91120, Israel. Electronic address: elik@ekmd.huji.ac.il.

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Classifications MeSH