Abstract
It is generally accepted that alterations in metabolism are critical for the metastatic process; however, the mechanisms by which these metabolic changes are controlled by the major drivers of the metastatic process remain elusive. Here, we found that S100 calcium-binding protein A4 (S100A4), a major metastasispromoting protein, confers metabolic plasticity to drive tumor invasion and metastasis of non-small cell lung cancer cells. Investigating how S100A4 regulates metabolism, we found that S100A4 depletion decreases oxygen consumption rates, mitochondrial activity, and ATP production and also shifts cell metabolism to higher glycolytic activity. We further identified that the 49-kDa mitochondrial complex I subunit NADH dehydrogenase (ubiquinone) Fe-S protein 2 (NDUFS2) is regulated in an S100A4-dependent manner and that S100A4 and NDUFS2 exhibit co-occurrence at significant levels in various cancer types as determined by database-driven analysis of genomes in clinical samples using cBioPortal for Cancer Genomics. Importantly, we noted that S100A4 or NDUFS2 silencing inhibits mitochondrial complex I activity, reduces cellular ATP level, decreases invasive capacity in three-dimensional growth, and dramatically decreases metastasis rates as well as tumor growth in vivo. Finally, we provide evidence that cells depleted in S100A4 or NDUFS2 shift their metabolism toward glycolysis by up-regulating hexokinase expression and that suppressing S100A4 signaling sensitizes lung cancer cells to glycolysis inhibition. Our findings uncover a novel S100A4 function and highlight its importance in controlling NDUFS2 expression to regulate the plasticity of mitochondrial metabolism and thereby promote the invasive and metastatic capacity in lung cancer.
Original language | English |
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Pages (from-to) | 7516-7527 |
Number of pages | 12 |
Journal | Journal of Biological Chemistry |
Volume | 294 |
Issue number | 18 |
DOIs | |
State | Published - May 3 2019 |
Bibliographical note
Publisher Copyright:© 2019 Liu et al. Published under exclusive license by The American Society for Biochemistry and Molecular Biology, Inc.
Funding
This work was supported by American Cancer Society Institutional Research Grant IRG-85-001-25 (to M. C.); the Kentucky Lung Cancer Research program (to M. C.); the National Institutes of Health COBRE Pilot Grant P20 GM121327 (to M. C.); National Center for Advancing Translational Sciences, National Insti-tutes of Health, Grant UL1TR000117 (to M. C.); Guangdong Provincial Key Laboratory of Occupational Disease Prevention and Treatment Grant 2017B030314152 (to L. L.); National Cancer Institute, National Institutes of Health Grant R01 CA109136 (to K. L. O.); and National Cancer Institute, National Institutes of Health, Grant R01 CA195573 (to B. M. E.). The authors declare that they have no conflicts of interest with the contents of this article. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Acknowledgments—We thank Dana Napier for her histologic expertise and Drs. Teresa W. Fan, Daret St. Clair, and Ren Xu for inspiring discussion and support of the study. The Markey Cancer Center Bio-specimen Procurement and Translational Pathology, the Redox Metabolism, the Flow Cytometry and Cell Sorting, the Biostatistics and Bioinformatics, and Cancer Research Informatics Shared Resource Facilities are supported by National Institutes of Health Grant P30 CA177558. This work was supported by American Cancer Society Institutional Research Grant IRG-85-001-25 (to M. C.); the Kentucky Lung Cancer Research program (to M. C.); the National Institutes of Health COBRE Pilot Grant P20 GM121327 (to M. C.); National Center for Advancing Translational Sciences, National Institutes of Health, Grant UL1TR000117 (to M. C.); Guangdong Provincial Key Laboratory of Occupational Disease Prevention and Treatment Grant 2017B030314152 (to L. L.); National Cancer Institute, National Institutes of Health Grant R01 CA109136 (to K. L. O.); and National Cancer Institute, National Institutes of Health, Grant R01 CA195573 (to B. M. E.)
Funders | Funder number |
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Departmentof Bioinformatics and Biostatistics | |
Guangdong Provincial Key Laboratory of Occupational Disease Prevention and Treatment | 2017B030314152 |
Kentucky Lung Cancer Research Program | |
Markey Cancer Center Bio-specimen Procurement and Translational Pathology | |
National Childhood Cancer Registry – National Cancer Institute | |
National Center for Advancing Translational Sciences (NCATS) | |
National Insti-tutes of Health | |
National Institutes of Health (NIH) | |
Redox Metabolism | |
National Institutes of Health (NIH) | P30 CA177558, P20 GM121327 |
American Cancer Society | IRG-85-001-25 |
National Childhood Cancer Registry – National Cancer Institute | R01 CA109136, R01 CA195573 |
National Center for Advancing Translational Sciences (NCATS) | UL1TR000117 |
ASJC Scopus subject areas
- Biochemistry
- Molecular Biology
- Cell Biology