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Destabilization of Fatty Acid Synthase by Acetylation Inhibits De Novo Lipogenesis and Tumor Cell Growth
Open accessPublished version of a preprint
Abstract
Fatty acid synthase (FASN) is the terminal enzyme in de novo lipogenesis and plays a key role in cell proliferation. Pharmacologic inhibitors of FASN are being evaluated in clinical trials for treatment of cancer, obesity, and other diseases. Here, we report a previously unknown mechanism of FASN regulation involving its acetylation by KAT8 and its deacetylation by HDAC3. FASN acetylation promoted its degradation via the ubiquitin–proteasome pathway. FASN acetylation enhanced its association with the E3 ubiquitin ligase TRIM21. Acetylation destabilized FASN and resulted in decreased de novo lipogenesis and tumor cell growth. FASN acetylation was frequently reduced in human hepatocellular carcinoma samples, which correlated with increased HDAC3 expression and FASN protein levels. Our results suggest opportunities to target FASN acetylation as an anticancer strategy. Cancer Res; 76(23); 6924–36. ©2016 AACR.
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“GNPATK128Ac also displayed an increased ability to bind fatty acid synthase FASN (which has also been found to be a target of acetylation-mediated protein homeostasis [59]), an enzyme central to lipogenesis and commonly dysregulated in cancer.”
From Acetylation: a new target for protein degradation in cancer (2025) · cites this paper as [59]
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“The GNPATK128Ac-FASN interaction resulted in a repression of TRIM21-mediated FASN degradation [59] and a subsequent increase in FASN, triglyceride, and fatty acids levels consistent with an increase in lipogenesis (Figure 2B).”
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Citations
Cites
Siegel, R., Naishadham, D., & Jemal, A. (2012) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.20138 · Cited by 10,679
Lysine acetylation targets protein complexes and co-regulates major cellular functions
Choudhary, C., Kumar, C., Gnad, F., Nielsen, M. L., Rehman, M., Walther, T. C., Olsen, J. V., & Mann, M. (2009) · Science · doi:10.1126/science.1175371 · Cited by 4,040
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
Regulation of cellular metabolism by protein lysine acetylation
Zhao, S., Xu, W., Jiang, W., Yu, W., Lin, Y., Zhang, T., Yao, J., Zhou, L., Zeng, Y., Li, H., et al. (2010) · Science · doi:10.1126/science.1179689 · Cited by 1,910
Self-citationThe growing landscape of lysine acetylation links metabolism and cell signalling
Choudhary, C., Weinert, B. T., Nishida, Y., Verdin, E., & Mann, M. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3841 · Cited by 1,324
Fatty-acid synthase and human cancer: new perspectives on its role in tumor biology
Kuhajda, F. P. (2000) · Nutrition · doi:10.1016/s0899-9007(99)00266-x · Cited by 801
Orlistat Is a Novel Inhibitor of Fatty Acid Synthase with Antitumor Activity
Kridel, S. J., Axelrod, F. T., Rozenkrantz, N., & Smith, J. W. (2004) · Cancer Research · doi:10.1158/0008-5472.can-03-3645 · Cited by 610
Unraveling the hidden catalytic activity of vertebrate class IIa histone deacetylases
Lahm, A., Paolini, C., Pallaoro, M., Nardi, M. C., Jones, P., Neddermann, P., Sambucini, S., Bottomley, M. J., Lo Surdo, P., Carfı́, A., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706487104 · Cited by 566
Lundby, A., Lage, K., Weinert, B. T., Bekker‐Jensen, D. B., Secher, A., Skovgaard, T., Kelstrup, C. D., Dmytriyev, A., Choudhary, C., Lundby, C., et al. (2012) · Cell Reports · doi:10.1016/j.celrep.2012.07.006 · Cited by 563
Fatty Acid Synthase As a Potential Therapeutic Target in Cancer
Flavin, R., Peluso, S., Nguyen, P. L., & Loda, M. F. (2010) · Future Oncology · doi:10.2217/fon.10.11 · Cited by 545
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Xu, Y., Zeng, J., Fu, S., Liu, K., Ye, M., Tao, S., & Wu, J. (2025) · Frontiers in Oncology · doi:10.3389/fonc.2025.1464914 · Cited by 3
Zheng, Y., Zheng, Y., Huang, Z., Zhang, Y., Li, J., Zhao, C., Liu, B., & Tong, A. (2025) · Phytomedicine · doi:10.1016/j.phymed.2025.157170 · Cited by 3
Won, Y., Bak, S.-G., Chandimali, N., Park, E. H., Lim, H. J., Kwon, H. S., Park, S., & Lee, S. (2024) · Lipids in Health and Disease · doi:10.1186/s12944-024-02175-0 · Cited by 3
Johansson, P. K., Liu, Y., Klett, K. C., Heilshorn, S. C., & Enejder, A. M. K. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.5c02648 · Cited by 2
PET microplastics induce lipotoxicity in the porcine pancreas
Mierzejewski, K., Kurzyńska, A., Golubska, M., Stryiński, R., Gałęcka, I., Całka, J., Borrajo, P., Pazos, M., Carrera, M., & Bogacka, I. (2026) · BMC Genomics · doi:10.1186/s12864-025-12507-8 · Cited by 3
Liu, H.-S., Li, Z., Lei, D., Xie, H., Yang, X., Zhou, C., Li, S. Q., Li, W., Zeng, Z., & Kang, L. (2026) · Nature Communications · doi:10.1038/s41467-026-71108-5 · Cited by 2
Histone deacetylases in cancer metabolic reprogramming
Jeon, Y. H., Seo, H., Youn, J. W., Yoo, J. H., Lee, S. W., Oh, S. Y., & Kwon, S. H. (2026) · Experimental & Molecular Medicine · doi:10.1038/s12276-026-01820-1 · Cited by 2
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Gu, J., Lv, Y., Xia, J.-Y., Bai, F., Gong, J., Pan, G., Liu, B., Huang, L., Guo, Q., & Hao, X. (2025) · Cell & Bioscience · doi:10.1186/s13578-025-01348-3 · Cited by 2
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Bergman, A., Wenning, L., Siewers, V., & Nielsen, J. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/430918 · Cited by 2
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Feng, C., Zeng, Y., Prochownik, E. V., Jiang, C., & Li, Y. (2025) · Results and problems in cell differentiation · doi:10.1007/978-3-031-91459-1_13 · Cited by 1
MicroRNA-Mediated Metabolic Control in HCC: From Molecular Networks to Therapy.
Alrawi, D., Farhan, S. R., Alkhathami, A. G., Hsu, C.-Y., Al-Khafaji, Z., El-Sehrawy, A. A. M. A., Mustafa, Y. F., Nabil, W., & Al-Mashhadani, Z. (2025) · Experimental Cell Research · doi:10.1016/j.yexcr.2025.114853 · Cited by 3
Nováková, Z., Bartošová‐Sojková, P., Kudlacova, J., Baselious, F., Kutil, Z., Jaklová, P., Meleshin, M., Motlova, L., Schenkmayerová, A., Vrkoslav, V., et al. (2026) · Molecular Biology and Evolution · doi:10.1093/molbev/msag150 · Cited by 1
Duan, W., Jiang, N., Wang, Y., Li, X., Liu, C., & Liu, X. (2026) · European Journal of Cell Biology · doi:10.1016/j.ejcb.2026.151573 · Cited by 1
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Wen, R., Yang, Y., Zhang, T., Zhang, S.-Y., Yang, X.-R., Zhang, L.-Y., Hao, P.-H., Zheng, Y., Ni, Y., & Zhang, T. (2026) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-026-02764-8 · Cited by 1
Colvin, E., & Liao, D. (2020) · UF Journal of Undergraduate Research · doi:10.32473/ufjur.v21i2.108423
Regulation of MPCs and KAT8 During Adipogenesis and Nutritional Regulation
Burrell, J. A. (2020) · Louisiana State University · doi:10.31390/gradschool_dissertations.5401
Acetyl-CoA mediated autoacetylation of fatty acid synthase in de novo lipogenesisPreprint
Miao, T., Kim, J., Kang, P., & Bai, H. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.06.475252
Rewiring of Drug Metabolism and Its Cross‐talk with Metabolic Reprogramming in Cancer
Majumder, S., & Manna, S. K. (2022) · Wiley eBooks · doi:10.1002/9781119851042.ch27
Hao, X.-L., Lv, Y.-F., Li, D., Bai, F.-H., Gong, J., Pan, G., Su, L.-X., Wang, Y.-L., Wanlei, F., Liu, B., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26658721
Hao, X.-L., Lv, Y.-F., Li, D., Bai, F.-H., Gong, J., Pan, G., Su, L.-X., Wang, Y.-L., Wanlei, F., Liu, B., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26658709
Hao, X.-L., Lv, Y.-F., Li, D., Bai, F.-H., Gong, J., Pan, G., Su, L.-X., Wang, Y.-L., Wanlei, F., Liu, B., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26658700
Hao, X.-L., Lv, Y.-F., Li, D., Bai, F.-H., Gong, J., Pan, G., Su, L.-X., Wang, Y.-L., Wanlei, F., Liu, B., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26658724
Won, Y.-S., Bak, S.-G., Chandimali, N., Park, E. H., Lim, H.-J., Kwon, H. S., Park, S.-I., & Lee, S. J. (2024) · Figshare · doi:10.6084/m9.figshare.26085085
Chen, X., Yong, H., Chen, M., Deng, C., Wang, P., Chu, S., Li, M., Hou, P., Zheng, J., Li, Z., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26563953
Balboni, N., Babini, G., Poeta, E., Protti, M., Mercolini, L., Magnifico, M. C., Barile, S. N., Massenzio, F., Pignataro, A., Giorgi, F. M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26699402
Xianglin, H., Lv, Y.-F., Li, D., Bai, F.-H., Gong, J., Pan, G., Su, L.-X., Wang, Y.-L., Wanlei, F., Liu, B., et al. (2024) · Figshare · doi:10.6084/m9.figshare.24934091
Chen, X., Yong, H., Chen, M., Deng, C., Wang, P., Chu, S., Li, M., Hou, P., Zheng, J., Li, Z., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26563947
Chen, X., Huang, W., Zhang, J., Li, Y., Xing, Z., Guo, L., Jiang, H., & Zhang, J. (2023) · Figshare · doi:10.6084/m9.figshare.24165124
Chen, X., Yong, H., Chen, M., Deng, C., Wang, P., Chu, S., Li, M., Hou, P., Zheng, J., Li, Z., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26563956
Hao, X.-L., Lv, Y., Li, D., Bai, F.-H., Gong, J., Pan, G., Su, L.-X., Wang, Y.-L., Wanlei, F., Liu, B., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26658706
Chen, X., Yong, H., Chen, M., Deng, C., Wang, P., Chu, S., Li, M., Hou, P., Zheng, J., Li, Z., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26563965
Chen, X., Yong, H., Chen, M., Deng, C., Wang, P., Chu, S., Li, M., Hou, P., Zheng, J., Li, Z., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26563950
Balboni, N., Babini, G., Poeta, E., Protti, M., Mercolini, L., Magnifico, M. C., Barile, S. N., Massenzio, F., Pignataro, A., Giorgi, F. M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26699399
Balboni, N., Babini, G., Poeta, E., Protti, M., Mercolini, L., Magnifico, M. C., Barile, S. N., Massenzio, F., Pignataro, A., Giorgi, F. M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26699396
Balboni, N., Babini, G., Poeta, E., Protti, M., Mercolini, L., Magnifico, M. C., Barile, S. N., Massenzio, F., Pignataro, A., Giorgi, F. M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25511817
Chen, X., Yong, H., Chen, M., Deng, C., Wang, P., Chu, S., Li, M., Hou, P., Zheng, J., Li, Z., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26563959
Chen, X., Huang, W., Zhang, J., Li, Y., Xing, Z., Guo, L., Jiang, H., & Zhang, J. (2023) · Figshare · doi:10.6084/m9.figshare.24165127
Hao, X.-L., Lv, Y.-F., Li, D., Bai, F.-H., Gong, J., Pan, G., Su, L.-X., Wang, Y.-L., Wanlei, F., Liu, B., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26658703
Balboni, N., Babini, G., Poeta, E., Protti, M., Mercolini, L., Magnifico, M. C., Barile, S. N., Massenzio, F., Pignataro, A., Giorgi, F. M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25511876
Chen, X., Yong, H., Chen, M., Deng, C., Wang, P., Chu, S., Li, M., Hou, P., Zheng, J., Li, Z., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26563962
Hao, X.-L., Lv, Y., Li, D., Bai, F.-H., Gong, J., Pan, G., Su, L.-X., Wang, Y.-L., Wanlei, F., Liu, B., et al. (2024) · Figshare · doi:10.6084/m9.figshare.24934619
Hao, X.-L., Lv, Y.-F., Li, D., Bai, F.-H., Gong, J., Pan, G., Su, L.-X., Wang, Y.-L., Wanlei, F., Liu, B., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26658712
Hao, X.-L., Lv, Y.-F., Li, D., Bai, F.-H., Gong, J., Pan, G., Su, L.-X., Wang, Y.-L., Wanlei, F., Liu, B., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26658715
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Zhu, X., McKean, W. B., Tran, T., Fu, X., Horton, J. D., & Kim, C.-W. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.30.696908
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Wang, Y., Paz, M. R., Fan, X., Smith, H. E., Roure, R., Patil, A., Shao, C., Shao, C., Garcia, C., Brill, E. N., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.12.699145
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Martín-Bernabé, A. (2018) · theses.fr (ABES) · doi:10.70675/426e7b40z057az4326z8cfez7da3a5c12c7e
Hétérogénéité métabolique des gliomes : apport de la spectroscopie RMN HRMAS
Bund, C. (2020) · theses.fr (ABES) · doi:10.70675/2f880f7az9a01z463fz9f4az0dcaad5fcf59
Cai, M., Liu, Y., Mao, X., Wu, Y., Sun, S., Zhou, J., Huang, T., & Jiao, J. (2026) · Cell Death Discovery · doi:10.1038/s41420-026-03087-x
Zou, H., Guo, Y., Pan, Q., Chen, Y., Huang, J., 周一军, Yang, X., Zhu, Y., Mo, L., Cai, J., et al. (2026) · Cancer Letters · doi:10.1016/j.canlet.2026.218514
Mondal, A., & Das, C. (2026) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/bs.mie.2026.05.042
Wang, Y., Paz, M. R., Fan, X., Smith, H. E., Roure, R., Patil, A., Shao, C., Shao, C., Garcia, C., Brill, E. N., et al. (2026) · G3 Genes Genomes Genetics · doi:10.1093/g3journal/jkag182
Gao, P., Ren, G., & Gao, P. (2026) · iScience · doi:10.1016/j.isci.2026.116680
Understanding protein ISGylation, a multifaceted posttranslational modification
Shirley, D. J., & Yoo, E. (2026) · Cell chemical biology · doi:10.1016/j.chembiol.2026.06.006
Hill, K. K., Barry, A. P., Reinoso-Vizcaíno, N. M., Haynes, L. E., Bonglack, E. N., Ferreira, D. F., Miller, S. E., Hirschey, M. D., Chiang, L. W., Remiszewski, S., et al. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2532225123
Ding, B., Chen, J., Xu, X., Ni, K., Du, K., Yang, B., Hu, W., Xie, H., Zheng, S., Ding, C., et al. (2026) · Genes & Diseases · doi:10.1016/j.gendis.2026.102498
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Zhong, X.-P., Ma, Y.-Y., Yao, S., Peng, J., Tan, S.-H., Qian, Y., Xu, A., Chen, N., Liao, H.-L., & Liu, J.-S. (2026) · Drug and Chemical Toxicology · doi:10.1080/01480545.2026.2729767
Metadata
- Authors
- Lin, H.-P., Cheng, Z.-L., He, R.-Y., Song, L., Tian, M.-X., Zhou, L.-S., Groh, B. S., Liu, W.-R., Ji, M.-B., Ding, C., Shi, Y.-H., Guan, K.-L., Ye, D., & Xiong, Y.
- Affiliations
- Shanghai Medical College of Fudan University (CN)
- 4State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai, China.
- Beijing Proteome Research Center (CN)
- Fudan University (CN)
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Guan, Kun-Liang
- Ye, Dan
- Xiong, Yue
- ORCID
- Venue
- Cancer Research
- Published
- 2016-11-30
- Volume
- 76
- Issue
- 23
- Pages
- 6924-6936
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- PMC
- PMC5135623
- OpenAlex
- W2530450137
- Cited by
- 150
- References
- 51
- Citations by year
- 2026: 16 · 2025: 18 · 2024: 27 · 2023: 26 · 2022: 13 · 2021: 16 · 2020: 19 · 2019: 5 · 2018: 7 · 2017: 3
- FWCI
- 2.08
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Cancer Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- MOST 973 Program (2012CB910303 and 2012CB910101)
- NSFC (81372198 and 81522033, 81120108016)
- Shanghai Committee of Science and Technology, China (14QA1400600 and 16JC1404000)
- NIH (GM067113 and CA063834, CA196878 and GM51586)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Lipids, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Lipid metabolism and biosynthesis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Histone Deacetylase Inhibitors Research
- Keywords
- fatty acid synthase, KAT8, HDAC3, protein acetylation, protein deacetylation, ubiquitin-proteasome degradation, TRIM21, E3 ubiquitin ligase, de novo lipogenesis, tumor cell proliferation, hepatocellular carcinoma, cancer therapy targets
- MeSH terms
- Acetylation, Humans, Signal Transduction, Cell Growth Processes, Cell Proliferation, Lipogenesis, Tumor Microenvironment, Fatty Acid Synthases
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