Literature DB >> 26054050

Metabolic Suppression of a Drug-Resistant Subpopulation in Cancer Spheroid Cells.

Vasilij Koshkin1, Laurie E Ailles2, Geoffrey Liu3, Sergey N Krylov1.   

Abstract

Inhibition of metabolic features which distinguish cancer cells from their non-malignant counterparts is a promising approach to cancer treatment. Energy support for drug extrusion in multidrug resistance (MDR) is a potential target for metabolic inhibition. Two major sources of ATP-based metabolic energy are partial (glycolysis) and complete (mitochondrial oxidative phosphorylation) oxidation of metabolic fuels. In cancer cells, the balance between them tends to be shifted toward glycolysis; this shift is considered to be characteristic of the cancer metabolic phenotype. Numerous earlier studies, conducted with cells cultured in a monolayer (2-D model), suggested inhibition of glycolytic ATP production as an efficient tool to suppress MDR in cancer cells. Yet, more recent work challenged the appropriateness of the 2-D model for such studies and suggested that a more clinically relevant approach would utilize a more advanced cellular model such as a 3-D model. Here, we show that the transition from the 2-D model (cultured monolayer) to a 3-D model (cultured spheroids) introduces essential changes into the concept of energetic suppression of MDR. The 3-D cell organization leads to the formation of a discrete cell subpopulation (not formed in the 2-D model) with elevated MDR transport capacity. This subpopulation has a specific metabolic phenotype (mixed glycolytic/oxidative MDR support) different from that of cells cultured in the 2-D model. Finally, the shift to the oxidative phenotype becomes greater when the spheroids are grown under conditions of lactic acidosis that are typical for solid tumors. The potential clinical significance of these findings is discussed.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  BIOENERGETICS; CANCER METABOLIC SUBTYPES; CELL SPHEROIDS; LACTIC ACIDOSIS; MULTIDRUG RESISTANCE

Mesh:

Substances:

Year:  2016        PMID: 26054050     DOI: 10.1002/jcb.25247

Source DB:  PubMed          Journal:  J Cell Biochem        ISSN: 0730-2312            Impact factor:   4.429


  5 in total

1.  Ellipsoid Segmentation Model for Analyzing Light-Attenuated 3D Confocal Image Stacks of Fluorescent Multi-Cellular Spheroids.

Authors:  Michaël Barbier; Steffen Jaensch; Frans Cornelissen; Suzana Vidic; Kjersti Gjerde; Ronald de Hoogt; Ralph Graeser; Emmanuel Gustin; Yolanda T Chong
Journal:  PLoS One       Date:  2016-06-15       Impact factor: 3.240

2.  Micrometastatic Drug Screening Platform Shows Heterogeneous Response to MAP Chemotherapy in Osteosarcoma Cell Lines.

Authors:  Christopher D Collier; Emily C Wirtz; Gabrielle J Knafler; William Z Morris; Patrick J Getty; Edward M Greenfield
Journal:  Clin Orthop Relat Res       Date:  2018-07       Impact factor: 4.176

Review 3.  Liquid-based three-dimensional tumor models for cancer research and drug discovery.

Authors:  Stephanie L Ham; Ramila Joshi; Pradip S Thakuri; Hossein Tavana
Journal:  Exp Biol Med (Maywood)       Date:  2016-04-11

4.  Identification of the metabolic alterations associated with the multidrug resistant phenotype in cancer and their intercellular transfer mediated by extracellular vesicles.

Authors:  Vanessa Lopes-Rodrigues; Alessio Di Luca; Justyna Mleczko; Paula Meleady; Michael Henry; Milica Pesic; Diana Cabrera; Sebastiaan van Liempd; Raquel T Lima; Robert O'Connor; Juan M Falcon-Perez; M Helena Vasconcelos
Journal:  Sci Rep       Date:  2017-03-17       Impact factor: 4.379

5.  Evaluation of Consistency in Spheroid Invasion Assays.

Authors:  Liliana R Cisneros Castillo; Andrei-Dumitru Oancea; Christian Stüllein; Anne Régnier-Vigouroux
Journal:  Sci Rep       Date:  2016-06-23       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.