Dynamic Metabolic Response to Adriamycin-Induced Senescence in Breast Cancer Cells

Cellular senescence displays a heterogeneous set of phenotypes linked to tumor suppression; however, after drug treatment, senescence may also be involved in stable or recurrent cancer. Metabolic changes during senescence can provide detailed information on cellular status and may also have implicat...

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Main Authors: Rong You, Jin Dai, Ping Zhang, Gregory A. Barding, Daniel Raftery
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Metabolites
Subjects:
Online Access:https://www.mdpi.com/2218-1989/8/4/95
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author Rong You
Jin Dai
Ping Zhang
Gregory A. Barding
Daniel Raftery
author_facet Rong You
Jin Dai
Ping Zhang
Gregory A. Barding
Daniel Raftery
author_sort Rong You
collection DOAJ
description Cellular senescence displays a heterogeneous set of phenotypes linked to tumor suppression; however, after drug treatment, senescence may also be involved in stable or recurrent cancer. Metabolic changes during senescence can provide detailed information on cellular status and may also have implications for the development of effective treatment strategies. The metabolic response to Adriamycin (ADR) treatment, which causes senescence as well as cell death, was obtained with the aid of metabolic profiling and isotope tracing in two human breast cancer cell lines, MCF7 and MDA-MB-231. After 5 days of ADR treatment, more than 60% of remaining, intact cells entered into a senescent state, characterized by enlarged and flattened morphology and positive blue staining using SA-β-gal. Metabolic trajectory analysis showed that the two cell lines’ responses were significantly different and were divided into two distinct stages. The metabolic shift from the first stage to the second was reflected by a partial recovery of the TCA cycle, as well as amino acid and lipid metabolisms. Isotope tracing analysis indicated that the higher level of glutamine metabolism helped maintain senescence. The results suggest that the dynamic changes during senescence indicate a multi-step process involving important metabolic pathways which might allow breast cancer cells to adapt to persistent ADR treatment, while the higher level of anapleurosis may be important for maintaining the senescent state. Ultimately, a better understanding of metabolic changes during senescence might provide targets for cancer therapy and tumor eradication.
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spelling doaj.art-684a6efefb2f4d8f9fc54328b1b7a2f32022-12-21T18:20:44ZengMDPI AGMetabolites2218-19892018-12-01849510.3390/metabo8040095metabo8040095Dynamic Metabolic Response to Adriamycin-Induced Senescence in Breast Cancer CellsRong You0Jin Dai1Ping Zhang2Gregory A. Barding3Daniel Raftery4College of Life Sciences, South China Normal University, 55 Zhongshan Avenue West, Guangzhou 510631, ChinaMitochondria and Metabolism Center, Department of Anesthesiology and Pain Medicine, University of Washington, 850 Republican Street, Seattle, WA 98109, USAMitochondria and Metabolism Center, Department of Anesthesiology and Pain Medicine, University of Washington, 850 Republican Street, Seattle, WA 98109, USAMitochondria and Metabolism Center, Department of Anesthesiology and Pain Medicine, University of Washington, 850 Republican Street, Seattle, WA 98109, USAMitochondria and Metabolism Center, Department of Anesthesiology and Pain Medicine, University of Washington, 850 Republican Street, Seattle, WA 98109, USACellular senescence displays a heterogeneous set of phenotypes linked to tumor suppression; however, after drug treatment, senescence may also be involved in stable or recurrent cancer. Metabolic changes during senescence can provide detailed information on cellular status and may also have implications for the development of effective treatment strategies. The metabolic response to Adriamycin (ADR) treatment, which causes senescence as well as cell death, was obtained with the aid of metabolic profiling and isotope tracing in two human breast cancer cell lines, MCF7 and MDA-MB-231. After 5 days of ADR treatment, more than 60% of remaining, intact cells entered into a senescent state, characterized by enlarged and flattened morphology and positive blue staining using SA-β-gal. Metabolic trajectory analysis showed that the two cell lines’ responses were significantly different and were divided into two distinct stages. The metabolic shift from the first stage to the second was reflected by a partial recovery of the TCA cycle, as well as amino acid and lipid metabolisms. Isotope tracing analysis indicated that the higher level of glutamine metabolism helped maintain senescence. The results suggest that the dynamic changes during senescence indicate a multi-step process involving important metabolic pathways which might allow breast cancer cells to adapt to persistent ADR treatment, while the higher level of anapleurosis may be important for maintaining the senescent state. Ultimately, a better understanding of metabolic changes during senescence might provide targets for cancer therapy and tumor eradication.https://www.mdpi.com/2218-1989/8/4/95senescence MCF7MDA-MB-231metabolomicsisotope tracing analysisgas chromatography–mass spectrometry (GC–MS)
spellingShingle Rong You
Jin Dai
Ping Zhang
Gregory A. Barding
Daniel Raftery
Dynamic Metabolic Response to Adriamycin-Induced Senescence in Breast Cancer Cells
Metabolites
senescence MCF7
MDA-MB-231
metabolomics
isotope tracing analysis
gas chromatography–mass spectrometry (GC–MS)
title Dynamic Metabolic Response to Adriamycin-Induced Senescence in Breast Cancer Cells
title_full Dynamic Metabolic Response to Adriamycin-Induced Senescence in Breast Cancer Cells
title_fullStr Dynamic Metabolic Response to Adriamycin-Induced Senescence in Breast Cancer Cells
title_full_unstemmed Dynamic Metabolic Response to Adriamycin-Induced Senescence in Breast Cancer Cells
title_short Dynamic Metabolic Response to Adriamycin-Induced Senescence in Breast Cancer Cells
title_sort dynamic metabolic response to adriamycin induced senescence in breast cancer cells
topic senescence MCF7
MDA-MB-231
metabolomics
isotope tracing analysis
gas chromatography–mass spectrometry (GC–MS)
url https://www.mdpi.com/2218-1989/8/4/95
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