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Acetate Is a Bioenergetic Substrate for Human Glioblastoma and Brain Metastases
Open accessAbstract
Glioblastomas and brain metastases are highly proliferative brain tumors with short survival times. Previously, using (13)C-NMR analysis of brain tumors resected from patients during infusion of (13)C-glucose, we demonstrated that there is robust oxidation of glucose in the citric acid cycle, yet glucose contributes less than 50% of the carbons to the acetyl-CoA pool. Here, we show that primary and metastatic mouse orthotopic brain tumors have the capacity to oxidize [1,2-(13)C]acetate and can do so while simultaneously oxidizing [1,6-(13)C]glucose. The tumors do not oxidize [U-(13)C]glutamine. In vivo oxidation of [1,2-(13)C]acetate was validated in brain tumor patients and was correlated with expression of acetyl-CoA synthetase enzyme 2, ACSS2. Together, the data demonstrate a strikingly common metabolic phenotype in diverse brain tumors that includes the ability to oxidize acetate in the citric acid cycle. This adaptation may be important for meeting the high biosynthetic and bioenergetic demands of malignant growth.
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“The relevance of acetate as a potential fuel source has also been observed in vivo: in glioblastoma tumors resected from patients, up to half of the intramitochondrial acetyl-CoA pool is derived from circulating acetate (70).”
From Regulation and function of the mammalian tricarboxylic acid cycle (2023) · cites this paper as [70]
In the citing paper
“Some cancer types, including liver and glioblastomas, readily take up acetate, which can be converted to acetyl-CoA by ACSS and undergo oxidation in the TCA cycle (70, 195).”
From Regulation and function of the mammalian tricarboxylic acid cycle (2023) · cites this paper as [70]
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 Mashimo et al., 2014
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 Mashimo et al., 2014
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The Somatic Genomic Landscape of Glioblastoma
Brennan, C. W., Verhaak, R. G. W., McKenna, A., Campos, B., Noushmehr, H., Salama, S. R., Zheng, S., Chakravarty, D., Sanborn, J. Z., Berman, S. H., et al. (2013) · Cell · doi:10.1016/j.cell.2013.09.034 · Cited by 5,016
The short-chain fatty acid acetate reduces appetite via a central homeostatic mechanism
Frost, G., Sleeth, M. L., Sahuri-Arisoylu, M., Lizarbe, B., Cerdan, S., Brody, L., Anastasovska, J., Ghourab, S., Hankir, M., Zhang, S., et al. (2014) · Nature Communications · doi:10.1038/ncomms4611 · Cited by 1,771
Serpins Promote Cancer Cell Survival and Vascular Co-Option in Brain Metastasis
Valiente, M., Obenauf, A. C., Jin, X., Chen, Q., Zhang, X. H.-F., Lee, D. J., Chaft, J. E., Kris, M. G., Huse, J. T., Brogi, E., et al. (2014) · Cell · doi:10.1016/j.cell.2014.01.040 · Cited by 895
Comerford, S. A., Huang, Z., Du, X., Wang, Y., Cai, L., Witkiewicz, A. K., Walters, H., Tantawy, M. N., Fu, A., Manning, H. C., et al. (2014) · Cell · doi:10.1016/j.cell.2014.11.020 · Cited by 681 · cited 5×
“The current work and that of Comerford et al. (2014) underscores the value of in vivo studies in cancermetabolism.”
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Bachoo, R. M., Maher, E. A., Ligon, K. L., Sharpless, N. E., Chan, S., You, M. J., Tang, Y., DeFrances, J., Stover, E. H., Weissleder, R., et al. (2002) · Cancer Cell · doi:10.1016/s1535-6108(02)00046-6 · Cited by 659
Self-citationGlioblastoma: From Molecular Pathology to Targeted Treatment
Cloughesy, T. F., Cavenee, W. K., & Mischel, P. S. (2011) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathol-011110-130324 · Cited by 531
Marin-Valencia, I., Yang, C., Mashimo, T., Cho, S., Baek, H., Yang, X.-L., Rajagopalan, K. N., Maddie, M., Vemireddy, V., Zhao, Z., et al. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.05.001 · Cited by 529
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Janiszewska, M., Suvà, M. L., Riggi, N., Houtkooper, R. H., Auwerx, J. H., Clément‐Schatlo, V., Radovanovic, I., Rheinbay, E., Provero, P., & Stamenkovic, I. (2012) · Genes & Development · doi:10.1101/gad.188292.112 · Cited by 454
Ebert, D., Haller, R. G., & Walton, M. E. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-13-05928.2003 · Cited by 427
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Ho, C.-L., Yu, S. C. H., & Yeung, D. W. C. (2003) · PubMed · Cited by 380
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Ko, H. Y., Chung, J.-I., Kim, D., Park, Y. M., Jo, H. H., Lee, S., Kim, S. Y., Kim, J. S., Chun, J., Han, K., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.13.439750 · Cited by 3
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Guerrieri, R. A., Fischer, G. M., Kircher, D. A., Joon, A. Y., Cortez, J., Grossmann, A. H., Hudgens, C. W., Ledesma, D. A., Lazcano, R., Onana, C. Y. B., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.23.633049 · Cited by 4
Islam, S., Inglese, M., Aravind, P., Barwick, T. D., Mauri, F. A., McLeavy, L., Årstad, E., Wang, J., Puccio, I., Hung, L., et al. (2025) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-025-07118-0 · Cited by 3
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Baenke, F., Dhomen, N. S., Gottlieb, E., & Marais, R. (2019) · Springer eBooks · doi:10.1007/978-1-4614-7147-9_28 · Cited by 3
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Zhu, B., Mo, Z., Bao, Y., Gan, X., & Wang, L. (2025) · Cancer Cell International · doi:10.1186/s12935-025-03837-4 · Cited by 2
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Huse, J. T., Abounader, R., Purow, B. W., Hegi, M. E., Soffietti, R., & Aldape, K. (2016) · Neuro-Oncology · doi:10.1093/neuonc/now215 · Cited by 2
Effect of short‐chain fatty acid acetate on colon cancer
Sahuri-Arisoylu, M., & Bell, J. D. (2016) · The FASEB Journal · doi:10.1096/fasebj.30.1_supplement.42.7 · Cited by 2
Metabolic Regulation of Lysine Acetylation: Implications in Cancer
Singh, S., Senapati, P., & Kundu, T. K. (2022) · Sub-cellular biochemistry/Subcellular biochemistry · doi:10.1007/978-3-031-07634-3_12 · Cited by 2
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Arfin, S., Agrawal, K., Kumar, A., Kumar, A. J., Rathi, B., & Kumar, D. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-99879-6.00008-0 · Cited by 2
Overview of Positron-Emission Tomography Tracers for Metabolic Imaging
Parent, E. E., & McConathy, J. (2017) · Springer eBooks · doi:10.1007/978-3-319-61401-4_3 · Cited by 2
Bacigalupa, Z. A., Brown, W. A., Krystofiak, E., Wolf, M. M., Hongo, R. A., Landis, M. D., Amason, E. K., Beckermann, K. E., Rathmell, J. C., & Rathmell, W. K. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.04.21.489116 · Cited by 2
Cuadros, A. M., Fernández-García, J., Planque, M., Altea‐Manzano, P., Schalley, T., Vermeire, I., Broekaert, D., Wu, Q., Brussel, T. V., Leduc, S., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.03.506468 · Cited by 3
Simoes, R. V., Henriques, R. N., Olesen, J. L., Cardoso, B. M., Fernandes, F. F., Monteiro, M. A., Jespersen, S. N., Carvalho, T., & Shemesh, N. (2024) · eLife · doi:10.7554/elife.100570 · Cited by 2
An alternative route for β-hydroxybutyrate metabolism supports fatty acid synthesis in cancer cellsPreprint
Kaluba, F. C., Rogers, T. J., Jeong, Y., Waldhart, A. N., Sokol, K. H., Lee, C. J., Daniels, S. R., Longo, J., Johnson, A., Sheldon, R. D., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.31.621317 · Cited by 2
Voltage-Dependent Anion Channels and Tubulin: Bioenergetic Controllers in Cancer Cells
Maldonado, E. N., DeHart, D. N., & Lemasters, J. J. (2017) · Biological and medical physics, biomedical engineering · doi:10.1007/978-3-319-55539-3_5 · Cited by 1
Promising Perspectives of Low Carbohydrate Diet in Cancer Adjuvant Therapy
Ig, T. (2020) · journal of nutritional oncology · doi:10.34175/jno202002001 · Cited by 1
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Singh, T., Kharat, A. S., Rathi, B., & Kumar, D. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-99879-6.00011-0 · Cited by 1
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Zhang, Z., Yan, H., Tong, H., Guo, K. X., Song, Z., Jin, Q., Zhao, Z., Zhao, Z., & Shi, Y. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e35231 · Cited by 1
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Agrahari, R., Mohapatra, S., Kumar, K. S., Mohanty, D., Kumar, R. K., & Merugu, R. (2024) · Interdisciplinary biotechnological advances · doi:10.1007/978-981-97-5508-0_11 · Cited by 1
Inglese, M., Boccato, T., Ferrante, M., Islam, S., Williams, M., Waldman, A. D., O’Neill, K., Aboagye, E. O., & Toschi, N. (2024) · IEEE Transactions on Radiation and Plasma Medical Sciences · doi:10.1109/trpms.2024.3514087 · Cited by 1
Zhang, J., Wang, X., Wang, J., Wen, X., Chen, S., Wang, T., Wang, B., & Hu, W. (2025) · Experimental Cell Research · doi:10.1016/j.yexcr.2025.114438 · Cited by 1
Microbiota recruitment for brain cancer management
Mehrian‐Shai, R. (2025) · Exploration of Medicine · doi:10.37349/emed.2025.1001335 · Cited by 1
Alrashidi, T., Bhaduri, S., Gash, E. N., Moothanchery, M., Ball, C., Maguire, M. L., Ressel, L., & Poptani, H. (2025) · NMR in Biomedicine · doi:10.1002/nbm.70113 · Cited by 2
A lactate–acetate interaction between macrophages and cancer cells drives metastasis
(2025) · Nature Metabolism · doi:10.1038/s42255-025-01398-4 · Cited by 1
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Aysin, K. N., Rudenko, A. Y., Mariasina, S. S., & Polshakov, V. I. (2025) · Biophysical Reviews · doi:10.1007/s12551-025-01378-8 · Cited by 1
Todeschi, J., Cébula, H., Bund, C., & Namer, I. J. (2025) · Metabolites · doi:10.3390/metabo16010017 · Cited by 1
Jin, A. Y., de Guzman, A. C. V., Lee, S., Cha, J. W., & Park, S. (2026) · Analytical Chemistry · doi:10.1021/acs.analchem.5c04505 · Cited by 1
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Barati, S., Ghoflchi, S., Nakhaei, A., Yazdi, M., Hosseinzadeh, P., Hosseini, H., & Jalili‐Nik, M. (2026) · BioFactors · doi:10.1002/biof.70077 · Cited by 1
Dang, Q., Peng, L., Niu, Y., Pan, X., Ye, Z., Wang, T., Wang, Y., Wu, J., Li, Z., Gao, H., et al. (2026) · Cancer Letters · doi:10.1016/j.canlet.2026.218406 · Cited by 1
Wu, M.-Z., Feng, D., Liu, W., Huang, W.-L., Wu, Q., Chou, T., Xiao, W.-H., Yao, Z., Li, Z., Xie, T., et al. (2026) · Neoplasia · doi:10.1016/j.neo.2026.101299 · Cited by 1
Hirashima, Y., Matsui, T., & Nishimura, Y. (2026) · Journal of Photochemistry and Photobiology A Chemistry · doi:10.1016/j.jphotochem.2026.117243 · Cited by 1
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Ahmed, N. N., Young, R. G., Merzy, J., & Reginato, M. J. (2026) · Glycobiology · doi:10.1093/glycob/cwag026 · Cited by 1
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Dietz, M. A., Subramanian, S., & Staley, C. M. (2026) · Clinical Microbiology Reviews · doi:10.1128/cmr.00332-25 · Cited by 1
Basics of Brain Tumor Biology for Clinicians
Wirsching, H., & Weller, M. (2019) · Springer eBooks · doi:10.1007/978-3-319-95684-8_2 · Cited by 1
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Devendran, R., Ramesh, V., & Gnanasekaran, P. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-99883-3.00001-9 · Cited by 1
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da Silva, E. L., Montenegro, R. C., & Moreira-Nunes, C. A. (2023) · Springer eBooks · doi:10.1007/978-3-030-80962-1_103-1 · Cited by 3
Identification of a lipid metabolism-related gene for cancer immunotherapy
Jiang, X., Du, W., Shi, C., Kang, M., Song, Q., Zhang, L., & Pei, D. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1186064 · Cited by 1
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Hu, H., Hu, Z., & Zheng, H. (2022) · Springer eBooks · doi:10.1007/978-3-031-09518-4_4 · Cited by 1
Wang, T., Gnanaprakasam, J. R., Chen, X., Kang, S., Xu, X., Sun, H., Liu, L., Miller, E., Cassel, T., Sun, Q., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/766642 · Cited by 1
Limited Environmental Serine Confers Sensitivity to PHGDH Inhibition in Brain MetastasisPreprint
Ngo, B., Kim, E., Osorio-Vasquez, V., Doll, S., Bustraan, S., Luengo, A., Davidson, S. M., Ali, A., Ferraro, G. D., Kang, D. S., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.03.974980 · Cited by 1
Yeo, K. K. L., Li, R., Wu, F., Bouras, G. S., H., L., Smith, E., Wormald, P., Valentine, R. J., Psaltis, A. J., Vreugde, S., et al. (2023) · medRxiv · doi:10.1101/2023.07.25.23293137 · Cited by 1
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Simoes, R. V., Henriques, R. N., Olesen, J. L., Cardoso, B. M., Fernandes, F. F., Monteiro, M. A., Jespersen, S. N., Carvalho, T., & Shemesh, N. (2025) · eLife · doi:10.7554/elife.100570.2 · Cited by 1
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Lewis, C. A., & Heiden, M. G. V. (2016) · Immunity · doi:10.1016/j.immuni.2016.06.004
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Amati, F., & Widmann, C. (2016) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000360
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Baenke, F., Dhomen, N. S., Gottlieb, E., & Marais, R. (2017) · Springer eBooks · doi:10.1007/978-1-4614-7322-0_28-1
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Sherry, A. D., & Malloy, C. R. (2021) · Springer eBooks · doi:10.1007/978-3-030-55043-1_8
Jiang, Y., Li, B., Hu, M., Zhang, X., Liu, J., Wang, Y., Wang, H., Peng, J., Gao, L., & Hong, L. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4139391
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Moreira-Barbosa, C., Matos, A., Fernandes, R., Mendes-Ferreira, M., Rodrigues, R. C., Cruz, T., Costa, Â. M., Cardoso, A. P., Ghilardi, C., Oliveira, M. J., et al. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-824043-4.00007-5
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Wang, J., Wen, Y., Zhao, W., Zhang, Y. T., Lin, F., Ouyang, C., Wang, H., Yao, L., Ma, H., Zhuo, Y., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.23.533947
Miller, K. D., Pniewski, K. A., Perry, C. E., Papp, S. B., Shaffer, J. D., Velasco‐Silva, J. N., Casciano, J. C., Aramburu, T. M., Srikanth, Y. V. V., Cassel, J. A., et al. (2023) · doi:10.1158/0008-5472.c.6512743.v1
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Wang, J., Wen, Y., Zhao, W., Zhang, Y. T., Lin, F., Ouyang, C., Wang, H., Yao, L., Ma, H., Zhuo, Y., et al. (2023) · eLife · doi:10.7554/elife.87419.1
Din, Z. U., Khan, Y., Zia, A., Anbreen, N., & Sultan, R. (2023) · Advances In Clinical And Medical Research · doi:10.52793/acmr.2023.4(3)-61
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Moon, J. W., Hong, B.-J., Kim, S., Park, M., Lee, J., Lee, J., & Kim, M. (2024) · Cancer Letters · doi:10.1016/j.canlet.2024.216781
Zhang, T., Zhang, Y., Liu, J., Ma, Y., Ye, Q., Yan, X., & Ding, L. (2022) · Figshare · doi:10.6084/m9.figshare.18849368
Metadata
- Authors
- Mashimo, T., Pichumani, K., Vemireddy, V., Hatanpaa, K. J., Singh, D. K., Sirasanagandla, S., Nannepaga, S., Piccirillo, S. G., Kovacs, Z., Foong, C., Huang, Z., Barnett, S., Mickey, B. E., DeBerardinis, R. J., Tu, B. P., Maher, E. A., & Bachoo, R. M.
- Affiliations
- Harold C. Simmons Comprehensive Cancer Center (US)
- The University of Texas Southwestern Medical Center (US)
- Children's Medical Center (US)
- Corresponding author
- Maher, Elizabeth A.
- Bachoo, Robert M.
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2014-12
- Volume
- 159
- Issue
- 7
- Pages
- 1603-1614
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4374602
- OpenAlex
- W1992524428
- Cited by
- 760
- References
- 41
- Citations by year
- 2026: 32 · 2025: 69 · 2024: 64 · 2023: 64 · 2022: 88 · 2021: 77 · 2020: 66 · 2019: 64 · 2018: 53 · 2017: 69 · 2016: 71 · 2015: 41 · 2014: 2
- FWCI
- 19.48
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (R01CA154843, R01CA157996, P30CA142543)
- National Institute of Neurological Disorders and Stroke (R01NS065195)
- National Institute of Biomedical Imaging and Bioengineering (P41EB015908, EB 015908)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Lipids, and Metabolism
- Health Sciences › Medicine › Oncology › Glioma Diagnosis and Treatment
- Keywords
- acetate oxidation, glioblastoma, brain metastases, TCA cycle, acetyl-CoA, ACSS2, acetyl-CoA synthetase 2, glucose oxidation, cancer metabolism, 13C NMR, glutamine metabolism, tumor bioenergetics
- MeSH terms
- Acetates, Acetate-CoA Ligase, Animals, Brain Neoplasms, Citric Acid Cycle, Disease Models, Animal, Glioblastoma, Humans, Neoplasm Metastasis, Glutamic Acid, Mice
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