Literature DB >> 34048314

Energy restriction causes metaphase delay and chromosome mis-segregation in cancer cells.

Aoxing Cheng1,2, Ya Jiang2, Ting Wang2, Fazhi Yu2, Iqra Ishrat2, Dongming Zhang2, Xiaoyang Ji3,4, Minhua Chen2, Weihua Xiao1,2, Qing Li1, Kaiguang Zhang1, Gang Niu3,4,5, Jue Shi6, Yueyin Pan1, Zhenye Yang1,2,7, Jing Guo1.   

Abstract

ATP metabolism during mitosis needs to be coordinated with numerous energy-demanding activities, especially in cancer cells whose metabolic pathways are reprogramed to sustain rapid proliferation in a nutrient-deficient environment. Although strategies targeting the energy metabolic pathways have shown therapeutic efficacy in preclinical cancer models, how normal cells and cancer cells differentially respond to energy shortage is unclear. In this study, using time-lapse microscopy, we found that cancer cells displayed unique mitotic phenotypes in a dose-dependent manner upon decreasing ATP (i.e. energy) supply. When reduction in ATP concentration was moderate, chromosome movements in mitosis were barely affected, while the metaphase-anaphase transition was significantly prolonged due to reduced tension between the sister-kinetochores, which delayed the satisfaction of the spindle assembly checkpoint. Further reduction in ATP concentration led to a decreased level of Aurora-B at the centromere, resulting in increased chromosome mis-segregation after metaphase delay. In contrast to cancer cells, ATP restriction in non-transformed cells induced cell cycle arrest in interphase, rather than causing mitotic defects. In addition, data mining of cancer patient database showed a correlation between signatures of energy production and chromosomal instability possibly resulted from mitotic defects. Together, these results reveal that energy restriction induces differential responses in normal and cancer cells, with chromosome mis-segregation only observed in cancer cells. This points to targeting energy metabolism as a potentially cancer-selective therapeutic strategy.

Entities:  

Keywords:  ATP; cancer cells; chromosome mis-segregation; energy restriction; metaphase-anaphase transition

Mesh:

Substances:

Year:  2021        PMID: 34048314      PMCID: PMC8265792          DOI: 10.1080/15384101.2021.1930679

Source DB:  PubMed          Journal:  Cell Cycle        ISSN: 1551-4005            Impact factor:   5.173


  33 in total

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Review 3.  Tracking spindle checkpoint signals from kinetochores to APC/C.

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Journal:  Trends Biochem Sci       Date:  2013-04-16       Impact factor: 13.807

4.  Cdk1-phosphorylated CUEDC2 promotes spindle checkpoint inactivation and chromosomal instability.

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Journal:  Nat Cell Biol       Date:  2011-07-10       Impact factor: 28.824

5.  A signature of chromosomal instability inferred from gene expression profiles predicts clinical outcome in multiple human cancers.

Authors:  Scott L Carter; Aron C Eklund; Isaac S Kohane; Lyndsay N Harris; Zoltan Szallasi
Journal:  Nat Genet       Date:  2006-08-20       Impact factor: 38.330

Review 6.  The Emerging Hallmarks of Cancer Metabolism.

Authors:  Natalya N Pavlova; Craig B Thompson
Journal:  Cell Metab       Date:  2016-01-12       Impact factor: 27.287

7.  Energy substrate modulates mitochondrial structure and oxidative capacity in cancer cells.

Authors:  Rodrigue Rossignol; Robert Gilkerson; Robert Aggeler; Kunihiro Yamagata; S James Remington; Roderick A Capaldi
Journal:  Cancer Res       Date:  2004-02-01       Impact factor: 12.701

8.  Identification of aneuploidy-selective antiproliferation compounds.

Authors:  Yun-Chi Tang; Bret R Williams; Jake J Siegel; Angelika Amon
Journal:  Cell       Date:  2011-02-18       Impact factor: 41.582

9.  GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis.

Authors:  Zefang Tang; Boxi Kang; Chenwei Li; Tianxiang Chen; Zemin Zhang
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

Review 10.  Fueling the Cell Division Cycle.

Authors:  María Salazar-Roa; Marcos Malumbres
Journal:  Trends Cell Biol       Date:  2016-10-13       Impact factor: 20.808

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