Adipose Triglyceride Lipase Is a Therapeutic Target in Advanced Prostate Cancer That Promotes Metabolic Plasticity
Open accessPublished version of a preprint
Abstract
Lipid metabolism plays a central role in prostate cancer. To date, the major focus has centered on de novo lipogenesis and lipid uptake in prostate cancer, but inhibitors of these processes have not benefited patients. A better understanding of how cancer cells access lipids once they are created or taken up and stored could uncover more effective strategies to perturb lipid metabolism and treat patients. Here, we identified that expression of adipose triglyceride lipase (ATGL), an enzyme that controls lipid droplet homeostasis and a previously suspected tumor suppressor, correlates with worse overall survival in men with advanced, castration-resistant prostate cancer (CRPC). Molecular, genetic, or pharmacologic inhibition of ATGL impaired human and murine prostate cancer growth in vivo and in cell culture or organoids under conditions mimicking the tumor microenvironment. Mass spectrometry imaging demonstrated that ATGL profoundly regulates lipid metabolism in vivo, remodeling membrane composition. ATGL inhibition induced metabolic plasticity, causing a glycolytic shift that could be exploited therapeutically by cotargeting both metabolic pathways. Patient-derived phosphoproteomics identified ATGL serine 404 as a target of CAMKK2–AMPK signaling in CRPC cells. Mutation of serine 404 did not alter the lipolytic activity of ATGL but did decrease CRPC growth, migration, and invasion, indicating that noncanonical ATGL activity also contributes to disease progression. Unbiased immunoprecipitation/mass spectrometry suggested that mutation of serine 404 not only disrupts existing ATGL protein interactions but also leads to new protein–protein interactions. Together, these data nominate ATGL as a therapeutic target for CRPC and provide insights for future drug development and combination therapies. Significance: ATGL promotes prostate cancer metabolic plasticity and progression through both lipase-dependent and lipase-independent activity, informing strategies to target ATGL and lipid metabolism for cancer treatment.
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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works
LKB1 is the upstream kinase in the AMP-activated protein kinase cascade
Woods, A., Johnstone, S. R., Dickerson, K., Leiper, F. C., Fryer, L. G. D., Neumann, D., Schlattner, U., Wallimann, T., Carlson, M., & Carling, D. (2003) · Current Biology · doi:10.1016/j.cub.2003.10.031 · Cited by 1,650 · see citing works
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Ma, Y., Nenkov, M., Chen, Y., & Gaßler, N. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25158352 · Cited by 28 · see citing works
- Authors
- Awad, D., Cao, P. H. A., Pulliam, T. L., Spradlin, M., Subramani, E., Tellman, T. V., Ribeiro, C. F., Muzzioli, R., Jewell, B. E., Pakula, H., Ackroyd, J. J., Murray, M. M., Han, J. J., Leng, M., Jain, A., Piyarathna, B., Liu, J., Song, X., Zhang, J., Klekers, A. R., Drake, J. M., Ittmann, M. M., Coarfa, C., Piwnica-Worms, D., Farach-Carson, M. C., Loda, M., Eberlin, L. S., & Frigo, D. E.
- Affiliations
- The University of Texas MD Anderson Cancer Center (US)
- Baylor College of Medicine (US)
- Weill Cornell Medicine (US)
- University of Minnesota (US)
- Michael E. DeBakey VA Medical Center (US)
- 5Department of Diagnostic and Biomedical Sciences, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas.
- 4Department of Surgery, Baylor College of Medicine, Houston, Texas.
- ORCID
- Awad, Dominik
- Cao, Pham Hong Anh
- Pulliam, Thomas L.
- Spradlin, Meredith
- Subramani, Elavarasan
- Tellman, Tristen V.
- Ribeiro, Caroline F.
- Muzzioli, Riccardo
- Jewell, Brittany E.
- Pakula, Hubert
- Ackroyd, Jeffrey J.
- Murray, Mollianne M.
- Han, Jenny J.
- Leng, Mei
- Jain, Antrix
- Piyarathna, Badrajee
- Liu, Jingjing
- Song, Xingzhi
- Zhang, Jianhua
- Klekers, Albert R.
- Drake, Justin M.
- Ittmann, Michael M.
- Coarfa, Cristian
- Piwnica-Worms, David
- Farach-Carson, Mary C.
- Loda, Massimo
- Eberlin, Livia S.
- Frigo, Daniel E.
- Venue
- Cancer Research
- Published
- 2023-12-01
- Volume
- 84
- Issue
- 5
- Pages
- 703-724
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- PMC
- PMC10939928
- OpenAlex
- W4389221192
- Cited by
- 36
- References
- 2
- Citations by year
- 2026: 23 · 2025: 7 · 2024: 6
- FWCI
- 4.56
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Cancer Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Commons-TMC (Texas Medical Center) (submittedVersion)
- Florence Research (University of Florence) (submittedVersion)
- Funders
- National Institutes of Health (R01CA184208, P50CA140388, P30CA125123, P30ES030285, P42ES0327725, P01CA098912, P30CA016672, P50HD103555, S10OD026804)
- American Cancer Society (RSG-16-084-01-TBE, PF-22-075-01-TBE)
- Cancer Prevention and Research Institute of Texas (RP170005, RP200504, RP210227)
- U.S. Department of Defense (W81XWH-22-1-0686)
- University of Texas MD Anderson Cancer Center (QIAC Partnership in Research Pilot Project Program)
- American Legion Auxiliary Fellowship
- Austrian Scientist in North America Mentoring Program
- Larry Deaven PhD Fellowship in Biomedical Sciences
- 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
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Prostate Cancer Treatment and Research
- Keywords
- adipose triglyceride lipase, castration-resistant prostate cancer, metabolic plasticity, lipid metabolism, lipid droplet homeostasis, glycolytic shift, tumor microenvironment, protein-protein interaction, therapeutic target, phosphoproteomics, mass spectrometry imaging
- MeSH terms
- Animals, Humans, Lipase, Lipolysis, Male, Serine, Lipid Metabolism, Mice, Calcium-Calmodulin-Dependent Protein Kinase Kinase, Tumor Microenvironment, Prostatic Neoplasms, Castration-Resistant
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