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Triangular Correlation (TrC) between cancer aggressiveness, cell uptake capability and cell deformability

ABSTRACT: The malignancy potential is correlated with mechanical deformability of the cancer cells. Therefore, mechanical properties of individual patient cells can contribute essential knowledge in cancer diagnostics and in precision therapies. However, clinical applications are limited by lack of current knowledge and of reliable and robust cell mechanical tests. In a comprehensive study, we found a Triangular Correlation (TrC) between cell deformability, phagocytic like capacity, and cancer aggressiveness. A significant application of the TrC is that phagocytic measurements can be a surrogate marker for detecting malignancy of cancer cells based on mechanical properties. We found that the uptake of inert sub-micron and micro-beads was massively higher in cancer cells compared with non-cancerous cells. Moreover, cells with a higher malignancy potential had greater uptake capacity. Importantly, in a reciprocal approach, we sorted either human bladder cancer cells or melanoma cells into subpopulations, solely based on their phagocytic capacity. The more phagocytic subpopulations showed elevated phenotypes of cancer aggressiveness ex vivo and in vivo. The uptake potential was found to be an imprinted feature preserved genetically and enriched over the sorting cycles. A gene expression profile revealed differences in gene sets associated with regulation of cell-cell and extracellular matrix adhesions and epithelial-to-mesenchymal transition. Chromatin immunoprecipitation sequencing showed that differences in gene expression were reflected also at the chromatin level. Importantly, in all cases studied here, enhanced phagocytic ability and elevated aggressiveness phenotypes were correlated with greater cell deformability, providing the mechanical link of the TrC. A computational model supported the notion that the uptake capacity can be a marker for malignancy mediated by cell mechanics. Our multidisciplinary approach, which involved complementary directions of study in several types of cancer cells, provides the proof of concept that phagocytic measurements can be applied for cancer diagnostics and precision medicine.

ORGANISM(S): Homo sapiens

PROVIDER: GSE135193 | GEO | 2020/01/24

REPOSITORIES: GEO

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Project description:Shlomi2011 - Warburg effect, metabolic model Using a genome-scale human metabolic network model accounting for stoichiometric and enzyme solvent capacity considerations, this model shows that the Warburg effect (a classical hallmark of cancer metabolism) is a direct consequence of the metabolic adaptation of cancer cells to increase biomass production rate. This model is described in the article: Genome-scale metabolic modeling elucidates the role of proliferative adaptation in causing the Warburg effect. Shlomi T, Benyamini T, Gottlieb E, Sharan R, Ruppin E PLoS Computational Biology. 2011; 7(3):e1002018 Abstract: The Warburg effect - a classical hallmark of cancer metabolism - is a counter-intuitive phenomenon in which rapidly proliferating cancer cells resort to inefficient ATP production via glycolysis leading to lactate secretion, instead of relying primarily on more efficient energy production through mitochondrial oxidative phosphorylation, as most normal cells do. The causes for the Warburg effect have remained a subject of considerable controversy since its discovery over 80 years ago, with several competing hypotheses. Here, utilizing a genome-scale human metabolic network model accounting for stoichiometric and enzyme solvent capacity considerations, we show that the Warburg effect is a direct consequence of the metabolic adaptation of cancer cells to increase biomass production rate. The analysis is shown to accurately capture a three phase metabolic behavior that is observed experimentally during oncogenic progression, as well as a prominent characteristic of cancer cells involving their preference for glutamine uptake over other amino acids. This model is hosted on BioModels Database and identified by: MODEL1105100000 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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Triangular Correlation (TrC) between cancer aggressiveness, cell uptake capability and cell deformability

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