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Acetyl-CoA Synthetase 2 Promotes Acetate Utilization and Maintains Cancer Cell Growth under Metabolic Stress
Open accessAbstract
A functional genomics study revealed that the activity of acetyl-CoA synthetase 2 (ACSS2) contributes to cancer cell growth under low-oxygen and lipid-depleted conditions. Comparative metabolomics and lipidomics demonstrated that acetate is used as a nutritional source by cancer cells in an ACSS2-dependent manner, and supplied a significant fraction of the carbon within the fatty acid and phospholipid pools. ACSS2 expression is upregulated under metabolically stressed conditions and ACSS2 silencing reduced the growth of tumor xenografts. ACSS2 exhibits copy-number gain in human breast tumors, and ACSS2 expression correlates with disease progression. These results signify a critical role for acetate consumption in the production of lipid biomass within the harsh tumor microenvironment.
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“Some cancers are nevertheless dependent on expression of acetyl-CoA synthetase 2 (ACSS2), the cytosolic enzyme that allows cells to synthesize acetyl-CoA from acetate, making this represents a potential therapeutic target (Comerford et al., 2014; Schug et al., 2015).”
From Targeting Metabolism for Cancer Therapy (2017) · cites this paper as Schug et al., 2015
In the citing paper
“In cancer cells, citrate becomes labeled following supplementation of cells with isotopically labeled acetate ([13C]acetate), indicating that acetate can undergo oxidation in the TCA cycle in cultured cell lines (69).”
From Regulation and function of the mammalian tricarboxylic acid cycle (2023) · cites this paper as [69]
In the citing paper
“Finally, extracellular acetate has recently been shown to be utilized by some cancers as a source of acetyl-CoA for biosynthesis.”
From The emerging hallmarks of cancer metabolism (2016) · cites this paper as Schug et al., 2015
In the citing paper
“Specifically, a variety of tumor types localized to the brain, including primary glioblastomas as well as brain metastases that originated from other tissues, have been shown to assimilate exogenous acetate and incorporate acetate-derived carbons into de novo synthesized fatty acids (Comerford et al., 2014; Mashimo et al., 2014; Schug et al., 2015).”
From The emerging hallmarks of cancer metabolism (2016) · cites this paper as Schug et al., 2015
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The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Barretina, J., Caponigro, G., Stransky, N., Venkatesan, K., Margolin, A. A., Kim, S., Wilson, C. J., Lehár, J., Kryukov, G. V., Sonkin, D., et al. (2012) · Nature · doi:10.1038/nature11003 · Cited by 7,950
The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups
METABRIC Group, Curtis, C., Shah, S. P., Chin, S.-F., Turashvili, G., Rueda, O. M., Dunning, M. J., Speed, D., Lynch, A. G., Samarajiwa, S., et al. (2012) · Nature · doi:10.1038/nature10983 · Cited by 6,097
Kim, J.-W., Tchernyshyov, I., Semenza, G. L., & Dang, C. V. (2006) · Cell Metabolism · doi:10.1016/j.cmet.2006.02.002 · Cited by 3,905
Fatty acid synthase and the lipogenic phenotype in cancer pathogenesis
Menendez, J. A., & Lupu, R. (2007) · Nature Reviews Cancer · doi:10.1038/nrc2222 · Cited by 2,941
COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer
Forbes, S. A., Bindal, N., Bamford, S., Cole, C., Kok, C. Y., Beare, D., Jia, M., Shepherd, R., Leung, K., Menzies, A., et al. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkq929 · Cited by 2,278
HIF-1 mediates adaptation to hypoxia by actively downregulating mitochondrial oxygen consumption
Papandreou, I., Cairns, R. A., Fontana, L., Lim, A. L., & Denko, N. C. (2006) · Cell Metabolism · doi:10.1016/j.cmet.2006.01.012 · Cited by 2,267
Pinkel, D., Segraves, R., Sudar, D., Clark, S. M., Poole, I., Kowbel, D., Collins, C. C., Kuo, W.-L., Chen, C., Zhai, Y., et al. (1998) · Nature Genetics · doi:10.1038/2524 · Cited by 2,238
Reductive glutamine metabolism by IDH1 mediates lipogenesis under hypoxia
Metallo, C. M., Gameiro, P. A., Bell, E. L., Mattaini, K. R., Yang, J., Hiller, K., Jewell, C. M., Johnson, Z. R., Irvine, D. J., Guarente, L., et al. (2012) · Nature · doi:10.1038/nature10602 · Cited by 1,791
Kimura, I., Ozawa, K., Inoue, D., Imamura, T., Kimura, K., Maeda, T., Terasawa, K., Kashihara, D., Hirano, K., Tani, T., et al. (2013) · Nature Communications · doi:10.1038/ncomms2852 · Cited by 1,512
SREBP activity is regulated by mTORC1 and contributes to Akt-dependent cell growth
Porstmann, T., Santos, C. R., Griffiths, B., Cully, M., Wu, M., Leevers, S., Griffiths, J. R., Chung, Y.-L., & Schulze, A. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2008.07.007 · Cited by 1,413
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Luqmani, Y. A. (2026) · Medical Principles and Practice · doi:10.1159/mpp/adpag001
Ligand-dependent interdomain rearrangements drive catalysis by acetyl-CoA synthetases
Li, M., Zhou, M., & Marmorstein, R. (2026) · Structure · doi:10.1016/j.str.2026.07.009
Sekine, T., Miura, S., Misaka, T., Okochi, S., Ogawara, R., Ichimura, S., Yokokawa, T., Oikawa, M., Waguri, S., Ishida, T., et al. (2026) · Journal of Molecular and Cellular Cardiology Plus · doi:10.1016/j.jmccpl.2026.100862
The interplay between lipid metabolism, cancer progression and anti-cancer immunity
Koh, C., Lee, Y., Kim, I., & Chung, Y. (2026) · Experimental & Molecular Medicine · doi:10.1038/s12276-026-01783-3
Chen, Z., Li, C., Zhang, Y., Tan, X., Zhou, Y., Liu, Z., Chen, H., Zhao, N., Gou, X., Sun, W., et al. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117892
Zhang, Y., Suo, C., & Sun, L. (2026) · Chinese Medical Journal · doi:10.1097/cm9.0000000000004174
Pang, T., Zhou, X., & Ge, Z. (2026) · Metabolites · doi:10.3390/metabo16090638
Citrate-derived acetyl-CoA partitioning as a metabolic-epigenetic checkpoint in cancer
Komninou, D., & Papanikolaou, N. A. (2026) · Metabolism Open · doi:10.1016/j.metop.2026.100496 · Cited by 1
Epigenomic Remodeling by Lipid Metabolism: A Cross-Disease Perspective on Cancer and Brain Disorders
Rafique, A., Farooq, A., Cho, C. E., & Bakovic, M. (2026) · Genes · doi:10.3390/genes17091134
Pérez‐Castro, S., Carballo, M., Rodríguez-Costas, N., Freire-Rodríguez, A., Daviña‐Núñez, C., Pereira, A. B., Taboada-Rodríguez, P., Pérez-Schoch, M., Cabrera, J. J., Müller‐Arteaga, C., et al. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27198454
Nanoparticle pharmacomicrobiomics: Reprogramming the microbiome–immune axis for cancer immunotherapy
Siddiqua, K. S., Farooqui, S. A., Zhang, Y., Wang, L., Zhang, G., Jiang, F., & 文庭池 (2026) · Pharmacological Research · doi:10.1016/j.phrs.2026.108481
Tang, Z., Luo, R., Zhang, W., Cao, X., Lu, S., & Li, X. (2026) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2026.102621
Feng, Z., Bearrood, T. E., Campbell, S. L., Kinsey, A. M., Matulionis, N., Chen, C., Seike, T., Leak, L. B., Tarhan, A. K., Dixon, S. J., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.24.753323
Erdogan, M. A., & Cakmak, A. (2026) · Briefings in Bioinformatics · doi:10.1093/bib/bbag528
β‐Hydroxybutyrate in Cancer: From Alternative Fuel to a Context‐Dependent Metabolic Signal
Wang, Q., & Bai, Y. (2026) · The FASEB Journal · doi:10.1096/fj.202603664rr
Luo, T., Ming, Z., Zhang, H., Zou, Z., Hu, X., Yin, Y., Wang, Y., Zhou, Z., Bin, X., Wu, J., et al. (2026) · International Journal of Oral Science · doi:10.1038/s41368-026-00467-y
Metadata
- Authors
- Schug, Z. T., Peck, B., Jones, D. T., Zhang, Q., Grosskurth, S., Alam, I. S., Goodwin, L. M., Smethurst, E., Mason, S., Blyth, K., McGarry, L., James, D., Shanks, E., Kalna, G., Saunders, R. E., Jiang, M., Howell, M., Lassailly, F., Thin, M. Z., Spencer-Dene, B., Stamp, G., van den Broek, N. J. F., Mackay, G., Bulusu, V., Kamphorst, J. J., Tardito, S., Strachan, D., Harris, A. L., Aboagye, E. O., Critchlow, S. E., Wakelam, M. J. O., Schulze, A., & Gottlieb, E.
- Affiliations
- Cancer Research UK Scotland Institute (GB)
- Cancer Research UK (GB)
- John Radcliffe Hospital (GB)
- Babraham Institute (GB)
- AstraZeneca (United Kingdom) (GB)
- Hammersmith Hospital (GB)
- University of Glasgow (GB)
- Corresponding author
- Gottlieb, Eyal
- ORCID
- Schug, Zachary T.
- Peck, Barrie
- Smethurst, Elizabeth
- Mason, Susan
- Blyth, Karen
- McGarry, Lynn
- James, Daniel
- Shanks, Emma
- Jiang, Ming
- Howell, Michael
- Thin, May Zaw
- Stamp, Gordon
- Mackay, Gillian
- Bulusu, Vinay
- Kamphorst, Jurre J.
- Tardito, Saverio
- Strachan, David
- Harris, Adrian L.
- Aboagye, Eric O.
- Critchlow, Susan E.
- Wakelam, Michael J.O.
- Schulze, Almut
- Gottlieb, Eyal
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2015-01
- Volume
- 27
- Issue
- 1
- Pages
- 57-71
- ISSN
- 1535-6108 (ISSN-L)
- PMC
- PMC4297291
- OpenAlex
- W2044515618
- Cited by
- 820
- References
- 73
- Citations by year
- 2026: 64 · 2025: 76 · 2024: 96 · 2023: 72 · 2022: 88 · 2021: 75 · 2020: 63 · 2019: 67 · 2018: 68 · 2017: 57 · 2016: 63 · 2015: 28
- FWCI
- 23.79
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Cancer Cell (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion)
- Funders
- AstraZeneca
- Francis Crick Institute (10009, 10008)
- Cancer Research UK (11359, 18278, 12011, 10337, 16466, 16584, 22311, 18974)
- National Institute for Health and Care Research (NIHR/CS/009/009, NF-SI-0611-10163, EME/13/122/01)
- Directorate for Biological Sciences
- Medical Research Council (MR/J007986/1)
- Biotechnology and Biological Sciences Research Council (BBS/E/B/000C0415, BBS/E/B/000C0413)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Lipids, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Lipid metabolism and biosynthesis
- Keywords
- acetyl-CoA synthetase 2, ACSS2, acetate utilization, cancer cell growth, metabolic stress, hypoxia, lipid depletion, tumor xenografts, fatty acid synthesis, phospholipid synthesis, tumor microenvironment, breast cancer, copy number gain, tumor progression
- MeSH terms
- Acetate-CoA Ligase, Animals, Hypoxia, Fatty Acids, Humans, Mice, Nude, Neoplasm Transplantation, Neoplasms, Stress, Physiological, Gene Expression Regulation, Neoplastic, Disease Progression, Gene Dosage, Cell Line, Tumor, Cell Proliferation, Mice, MCF-7 Cells
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