The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Monoacylglycerol Lipase Regulates a Fatty Acid Network that Promotes Cancer Pathogenesis
Open accessAbstract
Tumor cells display progressive changes in metabolism that correlate with malignancy, including development of a lipogenic phenotype. How stored fats are liberated and remodeled to support cancer pathogenesis, however, remains unknown. Here, we show that the enzyme monoacylglycerol lipase (MAGL) is highly expressed in aggressive human cancer cells and primary tumors, where it regulates a fatty acid network enriched in oncogenic signaling lipids that promotes migration, invasion, survival, and in vivo tumor growth. Overexpression of MAGL in nonaggressive cancer cells recapitulates this fatty acid network and increases their pathogenicity-phenotypes that are reversed by an MAGL inhibitor. Impairments in MAGL-dependent tumor growth are rescued by a high-fat diet, indicating that exogenous sources of fatty acids can contribute to malignancy in cancers lacking MAGL activity. Together, these findings reveal how cancer cells can co-opt a lipolytic enzyme to translate their lipogenic state into an array of protumorigenic signals. PAPERFLICK:
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“An elevated expression of lipoprotein lipase (LPL) and monoacylglycerol lipase (MAGL) across diverse cancer subtypes and correlates with invasiveness”
From The emerging hallmarks of cancer metabolism (2016) · cites this paper as Nomura et al., 2010
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. Adults
Calle, E. E., Rodriguez, C., Walker-Thurmond, K., & Thun, M. J. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa021423 · Cited by 7,696
Eng, J. K., McCormack, A. L., & Yates, J. R. (1994) · Journal of the American Society for Mass Spectrometry · doi:10.1016/1044-0305(94)80016-2 · Cited by 6,484
Smith, C. A., Want, E. J., O’Maille, G., Abagyan, R. A., & Siuzdak, G. E. (2006) · Analytical Chemistry · doi:10.1021/ac051437y · Cited by 5,296
Why Do Cancers Have High Aerobic Glycolysis?
Gatenby, R. A., & Gillies, R. J. (2004) · Nature reviews. Cancer · doi:10.1038/nrc1478 · Cited by 4,784
The Biology of Cancer: Metabolic Reprogramming Fuels Cell Growth and Proliferation
DeBerardinis, R. J., Lum, J. J., Hatzivassiliou, G., & Thompson, C. B. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2007.10.002 · Cited by 4,088
Overweight, obesity and cancer: epidemiological evidence and proposed mechanisms
Calle, E. E., & Kaaks, R. (2004) · Nature reviews. Cancer · doi:10.1038/nrc1408 · Cited by 3,613
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
The M2 splice isoform of pyruvate kinase is important for cancer metabolism and tumour growth
Christofk, H. R., Vander Heiden, M. G., Harris, M. H., Ramanathan, A., Gerszten, R. E., Wei, R., Fleming, M. D., Schreiber, S. L., & Cantley, L. C. (2008) · Nature · doi:10.1038/nature06734 · Cited by 2,820
DeBerardinis, R. J., Mancuso, A., Daikhin, E., Nissim, I., Yudkoff, M., Wehrli, S., & Thompson, C. B. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709747104 · Cited by 2,622
A Model for Random Sampling and Estimation of Relative Protein Abundance in Shotgun Proteomics
Liu, H., Sadygov, R. G., & Yates, J. R. (2004) · Analytical Chemistry · doi:10.1021/ac0498563 · Cited by 2,533
Research works printed but not linked: 6
- Cociorva, D., and Yates, J.R. (2006). DTASelect 2.0: improving the confidence of peptide and protein identifications. Proceedings of the 54th Annual ASMS Meeting, American Society for Mass Spectrometry, Sante Fe, New Mexico.
- Jessani, N., Liu, Y., Humphrey, M., and Cravatt, B.F. (2002). Enzyme activity profiles of the secreted and membrane proteome that depict cancer cell invasiveness. Proc. Natl. Acad. Sci. USA 99, 10335-10340. · DOI
- Jessani, N., Humphrey, M., McDonald, W.H., Niessen, S., Masuda, K., Gangadharan, B., Yates, J.R., 3rd, Mueller, B.M., and Cravatt, B.F. (2004). Carcinoma and stromal enzyme activity profiles associated with breast tumor growth in vivo. Proc. Natl. Acad. Sci. USA 101, 13756-13761. · DOI
- Jessani, N., Niessen, S., Wei, B.Q., Nicolau, M., Humphrey, M., Ji, Y., Han, W., Noh, D.Y., Yates, J.R., 3rd, Jeffrey, S.S., et al. (2005). A streamlined platform for high-content functional proteomics of primary human specimens. Nat. Methods 2, 691-697. · DOI
- Liu, H., Sadygov, R.G., and Yates, J.R., III. (2004). A model for random sampling and estimation of relative protein abundance in shotgun proteomics. Anal. Chem. 76, 4193-4201. · DOI
- Seftor, E.A., Meltzer, P.S., Kirschmann, D.A., Pe'er, J., Maniotis, A.J., Trent, J.M., Folberg, R., and Hendrix, M.J. (2002). Molecular determinants of human uveal melanoma invasion and metastasis. Clin. Exp. Metastasis 19, 233-246. · DOI
Cited by
Sorted by citations
Items 201–300 of 1,000
Deep, G., & Schlaepfer, I. R. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17071061 · Cited by 101
Cannabinoids in Glioblastoma Therapy: New Applications for Old Drugs
Dumitru, C. A., Sandalcioglu, I. E., & Karsak, M. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00159 · Cited by 101
Pla2g16 phospholipase mediates gain-of-function activities of mutant p53
Xiong, S., Tu, H., Kollareddy, M., Pant, V., Li, Q., Zhang, Y., Jackson, J. G., Suh, Y., Elizondo-Fraire, A. C., Yang, P., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1404139111 · Cited by 102
Zhang, J., Song, Y., Shi, Q., & Fu, L. (2021) · Frontiers of Medicine · doi:10.1007/s11684-021-0830-0 · Cited by 100
Macrophage ABHD5 promotes colorectal cancer growth by suppressing spermidine production by SRM
Miao, H., Ou, J., Peng, Y., Zhang, X., Chen, Y., Hao, L., Xie, G., Wang, Z., Pang, X., Ruan, Z., et al. (2016) · Nature Communications · doi:10.1038/ncomms11716 · Cited by 100
A Potent and Selective Inhibitor of KIAA1363/AADACL1 that Impairs Prostate Cancer Pathogenesis
Chang, J. W., Nomura, D. K., & Cravatt, B. F. (2011) · Chemistry & Biology · doi:10.1016/j.chembiol.2011.02.008 · Cited by 98
Self-citationDiscovering Targets of Non-enzymatic Acylation by Thioester Reactivity Profiling
Kulkarni, R. A., Worth, A. J., Zengeya, T. T., Shrimp, J. H., Garlick, J. M., Roberts, A. M., Montgomery, D. C., Sourbier, C., Gibbs, B. K., Mesaros, C., et al. (2017) · Cell chemical biology · doi:10.1016/j.chembiol.2017.01.002 · Cited by 94
Drilling for Oil: Tumor-Surrounding Adipocytes Fueling Cancer
Attané, C., & Muller, C. (2020) · Trends in Cancer · doi:10.1016/j.trecan.2020.03.001 · Cited by 97
A novel self-lipid antigen targets human T cells against CD1c+ leukemias
Lepore, M., de Lalla, C., Gundimeda, S., Gsellinger, H., Consonni, M., Garavaglia, C., Sansano, S., Piccolo, F. M., Scelfo, A., Häußinger, D., et al. (2014) · The Journal of Experimental Medicine · doi:10.1084/jem.20140410 · Cited by 97
Metabolic Footprints and Molecular Subtypes in Breast Cancer
Cappelletti, V., Iorio, E., Miodini, P., Silvestri, M., Dugo, M., & Daidone, M. G. (2017) · Disease Markers · doi:10.1155/2017/7687851 · Cited by 99
Molecular Mechanism of Cannabinoids in Cancer Progression
Pagano, C., Navarra, G., Coppola, L., Bifulco, M., & Laezza, C. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22073680 · Cited by 100
Cannabinoids as anticancer therapeutic agents
Kovalchuk, O., & Kovalchuk, I. (2020) · Cell Cycle · doi:10.1080/15384101.2020.1742952 · Cited by 96
Monoacylglycerol lipase – a target for drug development?
Fowler, C. (2012) · British Journal of Pharmacology · doi:10.1111/j.1476-5381.2012.01950.x · Cited by 96
Metabolomics in Drug Target DiscoveryPreprint
Rabinowitz, J. D., Purdy, J. G., Vastag, L., Shenk, T. E., & Koyuncu, E. (2011) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2011.76.010694 · Cited by 98
Hao, X., Ren, Y., Feng, M., Wang, Q., & Wang, Y. (2021) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2021.111798 · Cited by 101
Pucer, A., Brglez, V., Payré, C., Pungerčar, J., Lambeau, G. J., & Petan, T. (2013) · Molecular Cancer · doi:10.1186/1476-4598-12-111 · Cited by 96
Evaluation of FTIR spectroscopy as diagnostic tool for colorectal cancer using spectral analysis
Liu, D., Sun, X., Chao, Z., Zhang, S., Zheng, J., Gurung, R., Du, J., Shi, J.-S., Xu, Y., Zhang, Y.-F., et al. (2013) · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · doi:10.1016/j.saa.2013.11.031 · Cited by 93
Dysregulated Fatty Acid Metabolism in Hepatocellular Carcinoma
Wang, M.-D., Han, J. S., Xing, H., Zhang, H., Li, Z., Liang, L., Li, C., Dai, S., Wu, M., Shen, F., et al. (2016) · Hepatic Oncology · doi:10.2217/hep-2016-0012 · Cited by 95
ATP-consuming futile cycles as energy dissipating mechanisms to counteract obesity
Brownstein, A. J., Veliova, M., Acín‐Pérez, R., Liesa, M., & Shirihai, O. S. (2021) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-021-09690-w · Cited by 96
Association of Lipid Metabolism with Ovarian Cancer
Tania, M., Khan, M. A., & Song, Y. (2010) · Current Oncology · doi:10.3747/co.v17i5.668 · Cited by 89
Secreted phospholipases A2 in cancer: Diverse mechanisms of action
Brglez, V., Lambeau, G., & Petan, T. (2014) · Biochimie · doi:10.1016/j.biochi.2014.09.023 · Cited by 89
Monoacylglycerol signalling and ABHD6 in health and disease
Poursharifi, P., Madiraju, S. R. M., & Prentki, M. (2017) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13008 · Cited by 96
Hints on ATGL implications in cancer: beyond bioenergetic clues
Vegliante, R., Leo, L. D., Ciccarone, F., & Ciriolo, M. R. (2018) · Cell Death and Disease · doi:10.1038/s41419-018-0345-z · Cited by 93
FABP5 coordinates lipid signaling that promotes prostate cancer metastasis
Carbonetti, G., Wilpshaar, T. A., Kroonen, J. S., Studholme, K. M., Converso, C., d’Oelsnitz, S., & Kaczocha, M. (2019) · Scientific Reports · doi:10.1038/s41598-019-55418-x · Cited by 89
MLL4 mediates differentiation and tumor suppression through ferroptosis
Egolf, S., Zou, J., Anderson, A., Simpson, C. L., Aubert, Y., Prouty, S., Ge, K., Seykora, J. T., & Capell, B. C. (2021) · Science Advances · doi:10.1126/sciadv.abj9141 · Cited by 88
Zagani, R., El-Assaad, W., Gamache, I., & Teodoro, J. G. (2015) · Oncotarget · doi:10.18632/oncotarget.5061 · Cited by 88
Nomura, D. K., & Casida, J. E. (2010) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf101747r · Cited by 91
Self-citationHamtiaux, L., Masquelier, J., Muccioli, G. G., Bouzin, C., Féron, O., Gallez, B., & Lambert, D. M. (2012) · BMC Cancer · doi:10.1186/1471-2407-12-92 · Cited by 88
Activated lymphocytes as a metabolic model for carcinogenesis
Macintyre, A. N., & Rathmell, J. C. (2013) · Cancer & Metabolism · doi:10.1186/2049-3002-1-5 · Cited by 93
Huang, J., Mondul, A. M., Weinstein, S. J., Koutros, S., Derkach, A., Karoly, E. D., Sampson, J. N., Moore, S. C., Berndt, S. I., & Albanes, D. (2016) · British Journal of Cancer · doi:10.1038/bjc.2016.305 · Cited by 88
Li, Y., Kasim, V., Yan, X., Li, L., Meliala, I. T. S., Huang, C., Li, Z., Lei, K., Song, G., Zheng, X., et al. (2019) · Theranostics · doi:10.7150/thno.34931 · Cited by 89
The size matters: regulation of lipid storage by lipid droplet dynamics
Yu, J., & Li, P. (2016) · Science China Life Sciences · doi:10.1007/s11427-016-0322-x · Cited by 91
Non-glucose metabolism in cancer cells—is it all in the fat?
Biswas, S., Lunec, J., & Bartlett, K. (2012) · Cancer and Metastasis Reviews · doi:10.1007/s10555-012-9384-6 · Cited by 86
Targeting fatty acid metabolism in cancer and endothelial cells
Harjes, U., Kalucka, J. M., & Carmeliet, P. (2015) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2015.10.011 · Cited by 87
Zhang, J., Liu, Z., Lian, Z., Liao, R., Chen, Y., Qin, Y., Wang, J., Jiang, Q., Wang, X., & Gong, J. (2016) · Scientific Reports · doi:10.1038/srep35784 · Cited by 85
A Reversible and Selective Inhibitor of Monoacylglycerol Lipase Ameliorates Multiple Sclerosis
Hernández‐Torres, G., Cipriano, M., Hedén, E., Björklund, E., Canales, Á., Zian, D., Feliú, A., Mecha, M., Guaza, C., Fowler, C. J., et al. (2014) · Angewandte Chemie · doi:10.1002/ange.201407807 · Cited by 85
Zhang, C., Li, J., Lan, L., & Cheng, J. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.6b04699 · Cited by 85
Targeting glycogen metabolism in bladder cancer
Lew, C. R., Guin, S., & Theodorescu, D. (2015) · Nature Reviews Urology · doi:10.1038/nrurol.2015.111 · Cited by 84
Subcutaneous Adipocytes Promote Melanoma Cell Growth by Activating the Akt Signaling Pathway
Kwan, H. Y., Fu, X., Liu, B., Chao, X., Chan, C. L., Cao, H., Su, T., Tse, A. K., Fong, W. F., & Yu, Z. (2014) · Journal of Biological Chemistry · doi:10.1074/jbc.m114.593210 · Cited by 91
Progestin modulates the lipid profile and sensitivity of breast cancer cells to docetaxel
Schlaepfer, I. R., Hitz, C. A., Gijón, M. A., Bergman, B. C., Eckel, R. H., & Jacobsen, B. M. (2012) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2012.08.005 · Cited by 84
Kohnz, R. A., & Nomura, D. K. (2014) · Chemical Society Reviews · doi:10.1039/c4cs00047a · Cited by 86
Self-citationCapturing the metabolomic diversity of KRAS mutants in non-small-cell lung cancer cells
Brunelli, L., Caiola, E., Marabese, M., Broggini, M., & Pastorelli, R. (2014) · Oncotarget · doi:10.18632/oncotarget.1958 · Cited by 82
APT2 Inhibition Restores Scribble Localization and S -Palmitoylation in Snail-Transformed Cells
Hernandez, J. L., Davda, D., Kit, M. C. S., Majmudar, J. D., Won, S. J., Gang, M., Pasupuleti, S. C., Choi, A. I., Bartkowiak, C. M., & Martin, B. R. (2017) · Cell chemical biology · doi:10.1016/j.chembiol.2016.12.007 · Cited by 82
Lipid metabolic Reprogramming: Role in Melanoma Progression and Therapeutic Perspectives
Pellerin, L., Carrié, L., Dufau, C., Nieto, L., Ségui, B., Levade, T., Riond, J., & Andrieu‐Abadie, N. (2020) · Cancers · doi:10.3390/cancers12113147 · Cited by 91
Yang, N., Sun, H., Xue, Y., Zhang, W., Wang, H., Tao, H., Liang, X., Li, M., Xu, Y., Chen, L., et al. (2021) · Clinical and Translational Medicine · doi:10.1002/ctm2.447 · Cited by 77
Tao, M., Luo, J., Gu, T., Yu, X., Song, Z., Jun, Y., Gu, H., Han, K., Huang, X., Yu, W., et al. (2021) · Cell Death and Disease · doi:10.1038/s41419-021-04132-6 · Cited by 81
Cannabinoids as Anticancer Drugs
Ramer, R., & Hinz, B. (2017) · Advances in pharmacology · doi:10.1016/bs.apha.2017.04.002 · Cited by 82
Activity-based protein profiling: an enabling technology in chemical biology research
Li, N., Overkleeft, H. S., & Florea, B. I. (2012) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2012.01.008 · Cited by 79
Hypoxia induces a lipogenic cancer cell phenotype via HIF1α-dependent and -independent pathways
Valli, A., Rodriguez, M., Moutsianas, L., Fischer, R., Fedele, V., Huang, H.-L., Van Stiphout, R., Jones, D., Mccarthy, M., Vinaxia, M., et al. (2015) · Oncotarget · doi:10.18632/oncotarget.3058 · Cited by 79
Cao, S., Saw, P. E., Shen, Q., Li, R., Liu, Y., & Xu, X. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2021.121264 · Cited by 83
Parallels between embryo and cancer cell metabolism
Smith, D. G., & Sturmey, R. G. (2013) · Biochemical Society Transactions · doi:10.1042/bst20120352 · Cited by 80
Curry, Z. A., Wilkerson, J. L., Bağdaş, D., Kyte, S. L., Patel, N. H., Donvito, G., Mustafa, M. A., Poklis, J. L., Niphakis, M. J., Hsu, K., et al. (2018) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.117.245704 · Cited by 77
Self-citationEndocannabinoid-Based Therapies
Piomelli, D., & Tagne, A. M. (2021) · The Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-052220-021800 · Cited by 82
Kapanda, C. N., Masquelier, J., Labar, G., Muccioli, G. G., Poupaert, J. H., & Lambert, D. M. (2012) · Journal of Medicinal Chemistry · doi:10.1021/jm3006004 · Cited by 79
Kawaguchi, K., Senga, S., Chiaki, K., Kawamura, Y., Ke, Y., & Fujii, H. (2016) · FEBS Open Bio · doi:10.1002/2211-5463.12031 · Cited by 78
Zhang, D., Shi, R., Xiang, W., Kang, X., Tang, B., Li, C., Gao, L., Zhang, X., Zhang, L., Dai, R., et al. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-0117-y · Cited by 81
Update on the endocannabinoid system as an anticancer target
Malfitano, A. M., Ciaglia, E., Gangemi, G., Gazzerro, P., Laezza, C., & Bifulco, M. (2011) · Expert Opinion on Therapeutic Targets · doi:10.1517/14728222.2011.553606 · Cited by 79
Khasabova, I. A., Chandiramani, A., Harding-Rose, C., Simone, D. A., & Seybold, V. S. (2011) · Pharmacological Research · doi:10.1016/j.phrs.2011.03.007 · Cited by 75
Effect of polyunsaturated fatty acids on drug-sensitive and resistant tumor cells in vitro
Das, U. N., & Madhavi, N. (2011) · Lipids in Health and Disease · doi:10.1186/1476-511x-10-159 · Cited by 76
Zhong, L., Cheng, F., Lu, X., Duan, Y., & Wang, X. (2016) · Talanta · doi:10.1016/j.talanta.2016.04.049 · Cited by 76
LiverSex Computational Model: Sexual Aspects in Hepatic Metabolism and Abnormalities
Tomaš, T. C., Urlep, Ž., Moškon, M., Mraz, M., & Rozman, D. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.00360 · Cited by 73
Yang, D., Li, Y., Xing, L., Tan, Y., Sun, J., Zeng, B., Xiang, T., Tan, J., Ren, G., & Yang, D. (2018) · Cell Communication and Signaling · doi:10.1186/s12964-018-0221-6 · Cited by 75
CB1 Cannabinoid Receptors Couple to Focal Adhesion Kinase to Control Insulin Release
Maleńczyk, K., Jazurek, M., Keimpema, E., Silvestri, C., Janikiewicz, J., Mackie, K., Marzo, V. D., Rędowicz, M. J., Harkany, T., & Dobrzyń, A. (2013) · Journal of Biological Chemistry · doi:10.1074/jbc.m113.478354 · Cited by 76
Thors, L., Bergh, A. R. J., Persson, E., Hammarsten, P., Stattin, P. E., Egevad, L., Granfors, T., & Fowler, C. J. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012275 · Cited by 75
Zoughbi, W. A., Pichler, M., Gorkiewicz, G., Guertl‐Lackner, B., Haybaeck, J., Jahn, S. W., Lackner, C., Liegl‐Atzwanger, B., Popper, H., Schauer, S., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.9418 · Cited by 73
Fatty acid metabolism and cancer development
Chen, Y., & Li, P. (2016) · 中国科学通报:英文版 · doi:10.1007/s11434-016-1129-4 · Cited by 73
Inhibition of FASN reduces the synthesis of medium-chain fatty acids in goat mammary gland
Zhu, J., Luo, J., Wang, W., Yu, K., Wang, H. B., Shi, H., Sun, Y., Lin, X., & Li, J. (2014) · animal · doi:10.1017/s1751731114001323 · Cited by 72
Shen, J., Yan, L., Liu, S., Ambrosone, C. B., & Zhao, H. (2013) · Translational Oncology · doi:10.1593/tlo.13619 · Cited by 72
Patel, M., Lakkadwala, S., Majrad, M. S., Injeti, E. R., Gollmer, S. M., Shah, Z. A., Boddu, S. H. S., & Nesamony, J. (2014) · AAPS PharmSciTech · doi:10.1208/s12249-014-0168-x · Cited by 72
The contributions of cancer cell metabolism to metastasis
Pascual, G., Domínguez, D., & Benitah, S. A. (2018) · Disease Models & Mechanisms · doi:10.1242/dmm.032920 · Cited by 74
Modulation of the Endocannabinoid System as a Potential Anticancer Strategy
Ramer, R., Schwarz, R., & Hinz, B. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2019.00430 · Cited by 75
Mondul, A. M., Moore, S. C., Weinstein, S. J., Männistö, S., Sampson, J. N., & Albanes, D. (2014) · Metabolomics · doi:10.1007/s11306-014-0643-0 · Cited by 71
Moreno, P., Jiménez‐Jiménez, C., Garrido‐Rodríguez, M., Calderón-Santiago, M., Molina, S., Lara‐Chica, M., Priego‐Capote, F., Salvatierra, Á., Muñóz, E., & Calzado, M. A. (2018) · Molecular Oncology · doi:10.1002/1878-0261.12369 · Cited by 71
Metabolic signatures of human breast cancer
Mishra, P., & Ambs, S. (2015) · Molecular & Cellular Oncology · doi:10.4161/23723556.2014.992217 · Cited by 70
Prospective serum metabolomic profiling of lethal prostate cancer
Huang, J., Mondul, A. M., Weinstein, S. J., Derkach, A., Moore, S. C., Sampson, J. N., & Albanes, D. (2019) · International Journal of Cancer · doi:10.1002/ijc.32218 · Cited by 70
Castelli, S., Ciccarone, F., Tavian, D., & Ciriolo, M. R. (2021) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-021-01887-w · Cited by 70
Chen, S., Yin, P., Zhao, X., Xing, W., Hu, C., Zhou, L., & Xu, G. (2013) · Electrophoresis · doi:10.1002/elps.201200629 · Cited by 69
Glycerophospholipid profile in oncogene-induced senescence
Cadenas, C., Vosbeck, S., Hein, E., Hellwig, B., Langer, A., Hayen, H., Franckenstein, D., Büttner, B., Hammad, S., Marchan, R., et al. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2011.11.008 · Cited by 69
Balogh, G. E., Péter, M., Liebisch, G., Horváth, I., Török, Z., Nagy, E., Maslyanko, A., Benkö, S., Schmitz, G., Harwood, J. L., et al. (2010) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2010.04.011 · Cited by 68
Metabolic Vulnerabilities of Prostate Cancer: Diagnostic and Therapeutic OpportunitiesPreprint
Zadra, G., & Loda, M. F. (2017) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a030569 · Cited by 65
Use of Cannabis and Cannabinoids for Treatment of Cancer
Cherkasova, V., Wang, B., Gerasymchuk, M., Fiselier, A., Kovalchuk, O., & Kovalchuk, I. (2022) · Cancers · doi:10.3390/cancers14205142 · Cited by 70
Integrative metabonomics as potential method for diagnosis of thyroid malignancy
Tian, Y., Nie, X., Xu, S., Li, Y., Huang, T., Tang, H., & Wang, Y. (2015) · Scientific Reports · doi:10.1038/srep14869 · Cited by 68
Membrane fluidity matters: Hyperthermia from the aspects of lipids and membranes
Csoboz, B., Balogh, G. E., Kúsz, E., Gombos, I., Péter, M., Crul, T., Güngör, B., Haracska, L., Bogdanovics, G., Török, Z., et al. (2013) · International Journal of Hyperthermia · doi:10.3109/02656736.2013.808765 · Cited by 68
Das, U. N. (2011) · Clinical Lipidology · doi:10.2217/clp.11.34 · Cited by 68
Balancing biosynthesis and bioenergetics: metabolic programs in oncogenesis
Barger, J. F., & Plas, D. R. (2010) · Endocrine Related Cancer · doi:10.1677/erc-10-0106 · Cited by 65
MAGI-3 Competes With NHERF-2 to Negatively Regulate LPA2 Receptor Signaling in Colon Cancer Cells
Lee, S., Ritter, S. L., Zhang, H., Shim, H., Hall, R. A., & Yun, C. C. (2010) · Gastroenterology · doi:10.1053/j.gastro.2010.11.054 · Cited by 68
Pharmacological inhibition of MAGL attenuates experimental colon carcinogenesis
Pagano, E., Borrelli, F., Orlando, P., Romano, B., Monti, M., Morbidelli, L., Aviello, G., Imperatore, R., Capasso, R., Piscitelli, F., et al. (2017) · Pharmacological Research · doi:10.1016/j.phrs.2017.02.002 · Cited by 68
Metabolic Regulation of Histone Acetyltransferases by Endogenous Acyl-CoA Cofactors
Montgomery, D. C., Sorum, A. W., Guasch, L., Nicklaus, M. C., & Meier, J. L. (2015) · Chemistry & Biology · doi:10.1016/j.chembiol.2015.06.015 · Cited by 67
Monoglyceride lipase: Structure and inhibitors
Scalvini, L., Piomelli, D., & Mor, M. (2015) · Chemistry and Physics of Lipids · doi:10.1016/j.chemphyslip.2015.07.011 · Cited by 69
Velasco, G., Sánchez, C., & Guzmán, M. (2015) · Handbook of experimental pharmacology · doi:10.1007/978-3-319-20825-1_16 · Cited by 68
Discovery of Inhibitors for the Ether Lipid-Generating Enzyme AGPS as Anti-Cancer Agents
Piano, V., Benjamin, D. I., Valente, S., Nenci, S., Marrocco, B., Mai, A., Aliverti, A., Nomura, D. K., & Mattevi, A. (2015) · ACS Chemical Biology · doi:10.1021/acschembio.5b00466 · Cited by 66
Self-citationDouglass, J. D., Zhou, Y. X., Wu, A., Zadrogra, J. A., Gajda, A. M., Lackey, A. I., Lang, W., Chevalier, K. M., Sutton, S. W., Zhang, S., et al. (2015) · Journal of Lipid Research · doi:10.1194/jlr.m058586 · Cited by 71
Peng, Y., Miao, H., Wu, S., Yang, W., Zhang, Y., Xie, G., Xie, X., Li, J., Shi, C., Ye, L., et al. (2016) · Autophagy · doi:10.1080/15548627.2016.1217380 · Cited by 67
A patent review of Monoacylglycerol Lipase (MAGL) inhibitors (2013-2017)
Granchi, C., Caligiuri, I., Minutolo, F., Rizzolio, F., & Tuccinardi, T. (2017) · Expert Opinion on Therapeutic Patents · doi:10.1080/13543776.2018.1389899 · Cited by 66
Mechanisms of Abnormal Lipid Metabolism in the Pathogenesis of Disease
Xu, L., Yang, Q., & Zhou, J. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25158465 · Cited by 71
Oxidative Stress and Reprogramming of Lipid Metabolism in Cancers
Li, S., Yuan, H., Li, L., Li, Q., Lin, P., & Li, K. (2025) · Antioxidants · doi:10.3390/antiox14020201 · Cited by 75
Unsaturated Fatty Acids Stimulate Tumor Growth through Stabilization of β-Catenin
Kim, H., Rodríguez‐Navas, C., Kollipara, R. K., Kapur, P., Pedrosa, I., Brugarolas, J., Kittler, R., & Ye, J. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.09.010 · Cited by 64
FAT FLUX: enzymes, regulators, and pathophysiology of intracellular lipolysis
Zechner, R. (2015) · EMBO Molecular Medicine · doi:10.15252/emmm.201404846 · Cited by 65
Hou, L., Rong, J., Haider, A., Ogasawara, D., Varlow, C., Schafroth, M. A., Mu, L., Gan, J., Xu, H., Fowler, C. J., et al. (2020) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.0c01459 · Cited by 63
Self-citationFoxA and LIPG endothelial lipase control the uptake of extracellular lipids for breast cancer growth
Slebe, F., Rojo, F., Vinaixa, M., Garcı́a-Rocha, M., Testoni, G., Guiu, M., Planet, E., Samino, S., Arenas, E. J., Beltran, A., et al. (2016) · Nature Communications · doi:10.1038/ncomms11199 · Cited by 64
Metadata
- Authors
- Nomura, D. K., Long, J. Z., Niessen, S., Hoover, H. S., Ng, S.-W., & Cravatt, B. F.
- Affiliations
- Scripps Research Institute (US)
- Brigham and Women's Hospital (US)
- Corresponding author
- Cravatt, Benjamin F.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2010-01
- Volume
- 140
- Issue
- 1
- Pages
- 49-61
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC2885975
- OpenAlex
- W2127624416
- Cited by
- 1,002
- References
- 69
- Citations by year
- 2026: 40 · 2025: 41 · 2024: 55 · 2023: 46 · 2022: 59 · 2021: 78 · 2020: 69 · 2019: 67 · 2018: 69 · 2017: 60 · 2016: 75 · 2015: 72 · 2014: 70 · 2013: 61 · 2012: 47
- FWCI
- 15.66
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 1293 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Cancer Institute (R01CA132630, CA-087660, R37CA087660, R01CA087660, CA132630)
- 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 › Sphingolipid Metabolism and Signaling
- Keywords
- monoacylglycerol lipase, fatty acid metabolism, lipolysis, tumor cell migration and invasion, tumor growth, MAGL inhibitors, high-fat diet, cancer metabolism
- MeSH terms
- Animals, Cell Line, Fatty Acids, Female, Humans, Monoacylglycerol Lipases, Neoplasm Transplantation, Ovarian Neoplasms, Transplantation, Heterologous, Tumor Cells, Cultured, Monoglycerides, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review