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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:
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“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
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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
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Cha, J.-Y., & Lee, H.-J. (2016) · Journal of Cancer Prevention · doi:10.15430/jcp.2016.21.4.209 · Cited by 42
Liao, C., Li, M., Li, X., Li, N., Zhao, X., Wang, X., Song, Y., Quan, J., Cheng, C., Liu, J., et al. (2019) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2019.158540 · Cited by 40
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Cecconi, S., Rapino, C., Nisio, V. D., Rossi, G., & Maccarrone, M. (2019) · Progress in Lipid Research · doi:10.1016/j.plipres.2019.101019 · Cited by 45
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Mert, S., Özbek, E., Ötünçtemur, A., & Çulha, M. (2015) · Journal of Biomedical Optics · doi:10.1117/1.jbo.20.4.047002 · Cited by 42
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Wu, J. W., Preuß, C., Wang, S. P., Yang, H., Ji, B., Carter, G. W., Gladdy, R. A., Andelfinger, G., & Mitchell, G. A. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006716 · Cited by 41
Tyukhtenko, S. I., Rajarshi, G., Karageorgos, I. L., Zvonok, N., Gallagher, E. S., Huang, H., Vemuri, K. V., Hudgens, J. W., Ma, X., Nasr, M. L., et al. (2018) · Scientific Reports · doi:10.1038/s41598-017-19135-7 · Cited by 41
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Bel’skaya, L. V. (2019) · Journal of Applied Spectroscopy · doi:10.1007/s10812-019-00800-w · Cited by 40
Granchi, C., Bononi, G., Ferrisi, R., Gori, E., Mantini, G., Glasmacher, S., Poli, G., Palazzolo, S., Caligiuri, I., Rizzolio, F., et al. (2020) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2020.112857 · Cited by 42
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Menéndez, J. A. (2015) · Cell Cycle · doi:10.1080/15384101.2015.1022697 · Cited by 41
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Liu, X., Zhang, P., Xu, J., Lv, G., & Li, Y. (2022) · Cancer Cell International · doi:10.1186/s12935-022-02645-4 · Cited by 39
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Reznik, E., & Sander, C. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004176 · Cited by 39
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Cruz, A. L. S., Bastos, N. C., Teixeira, L. K., Pinto, L. F. R., Bozza, P. T., & Viola, J. P. B. (2019) · Molecular and Cellular Biology · doi:10.1128/mcb.00374-18 · Cited by 40
Zheng, S., Matskova, L. V., Zhou, X., Xiao, X., Huang, G., Zhang, Z., & Ernberg, I. T. (2020) · Molecular Oncology · doi:10.1002/1878-0261.12824 · Cited by 40
Zanfirescu, A., Ungurianu, A., Mihai, D. P., Radulescu, D., & Nițulescu, G. M. (2021) · Molecules · doi:10.3390/molecules26185668 · Cited by 39
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Orzechowska-Licari, E. J., LaComb, J. F., Mojumdar, A., & Bialkowska, A. B. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23179956 · Cited by 39
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Kendall, B. J., Wilson, L. F., Olsen, C. M., Webb, P. M., Neale, R. Ε., Bain, C. J., & Whiteman, D. C. (2015) · Australian and New Zealand Journal of Public Health · doi:10.1111/1753-6405.12458 · Cited by 39
The cellular metabolic landscape in the tumor milieu regulates the activity of myeloid infiltrates
Mohamed, E. T., Al-Khami, A. A., & Rodrı́guez, P. C. (2018) · Cellular and Molecular Immunology · doi:10.1038/s41423-018-0001-7 · Cited by 39
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Fowler, C. J. (2020) · Journal of Internal Medicine · doi:10.1111/joim.13229 · Cited by 38
Protein networks linking Warburg and reverse Warburg effects to cancer cell metabolism
Johar, D., Elmehrath, A. O., Khalil, R. M., Elberry, M. H., Zaky, S., Shalabi, S. A., & Bernstein, L. H. (2021) · BioFactors · doi:10.1002/biof.1768 · Cited by 42
Hung, Y., Chan, Y.-S., CHANG, Y.-S., Lee, K., Hsu, H., Yen, M., Chen, W.-C., Wang, C., & Lai, M. (2014) · Oncology Reports · doi:10.3892/or.2014.3155 · Cited by 39
Monoacylglycerol lipase promotes metastases in nasopharyngeal carcinoma.
Hu, W.-R., Lian, Y., Peng, L.-X., Lei, J.-J., Deng, C.-C., Xu, M., Feng, Q.-S., Chen, L.-Z., Bei, J., & Zeng, Y. (2014) · PubMed Central · Cited by 39
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Li, X., Sun, T., & Jiang, C. (2023) · Advanced Materials · doi:10.1002/adma.202309582 · Cited by 38
Afzal, O., Kumar, S., Kumar, R., Firoz, A., Jaggi, M., & Bawa, S. (2014) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2014.06.029 · Cited by 38
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Bush, J. T., Walport, L. J., McGouran, J. F., Leung, I. K. H., Berridge, G., van Berkel, S. S., Basak, A., Kessler, B. M., & Schofield, C. J. (2013) · Chemical Science · doi:10.1039/c3sc51708j · Cited by 38
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Ramer, R., Wittig, F., & Hinz, B. (2021) · Cancers · doi:10.3390/cancers13225701 · Cited by 39
Zhang, B., Wu, J., Guo, P., Wang, Y., Fang, Z., Tian, J., Yu, Y., Teng, W., Yingbin, L., & Li, Y. (2020) · OncoTargets and Therapy · doi:10.2147/ott.s266073 · Cited by 37
RetractedHe, Y., Schild, M., Grether, U., Benz, J., Leibrock, L., Heer, D., Topp, A., Collin, L., Kuhn, B., Wittwer, M., et al. (2022) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.1c01706 · Cited by 37
Bononi, G., Stefano, M. D., Poli, G., Ortore, G., Meier, P., Masetto, F., Caligiuri, I., Rizzolio, F., Macchia, M., Chicca, A., et al. (2022) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.1c01806 · Cited by 42
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Tsilingiris, D., Vallianou, N. G., Spyrou, N., Kounatidis, D. C., Christodoulatos, G. S., Karampela, Ι., & Dalamaga, Μ. (2023) · Current Obesity Reports · doi:10.1007/s13679-023-00542-z · Cited by 42
Poli, G., Lapillo, M., Jha, V., Mouawad, N., Caligiuri, I., Macchia, M., Minutolo, F., Rizzolio, F., Tuccinardi, T., & Granchi, C. (2019) · Journal of Enzyme Inhibition and Medicinal Chemistry · doi:10.1080/14756366.2019.1571271 · Cited by 38
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Zhang, X., He, C., Sun, Y., Liu, X., Chen, Y., Chen, C., Yan, R., Fan, T., Yang, T., Lu, Y., et al. (2021) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2021.04.021 · Cited by 38
Baba, Y., Funakoshi, T., Mori, M., Emoto, K., Masugi, Y., Ekmekçioglu, S., Amagai, M., & Tanese, K. (2017) · Journal of the European Academy of Dermatology and Venereology · doi:10.1111/jdv.14455 · Cited by 37
Tomin, T., Fritz, K., Gindlhuber, J., Waldherr, L., Pucher, B., Thallinger, G., Nomura, D. K., Schittmayer, M., & Birner‐Gruenberger, R. (2018) · Journal of Proteome Research · doi:10.1021/acs.jproteome.7b00782 · Cited by 36
Self-citationAmaral, C., Trouille, F. M., Almeida, C. F., Correia‐da‐Silva, G., & Teixeira, N. A. A. (2021) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2021.105876 · Cited by 36
De, A., Powers, B., De, A., Zhou, J., Sharma, S., Veldhuizen, P. J. V., Bansal, A. K., Sharma, R., & Sharma, M. (2016) · Oncotarget · doi:10.18632/oncotarget.8966 · Cited by 36
Wang, C., Wang, J., Chen, K., Pang, H., Li, X., Zhu, J., Ma, Y., Qiu, T., Li, W., Xie, J., et al. (2020) · Cancer Science · doi:10.1111/cas.14606 · Cited by 35
Metabolic response to radiation therapy in cancer
Read, G. H., Bailleul, J., Vlashi, E., & Kesarwala, A. H. (2021) · Molecular Carcinogenesis · doi:10.1002/mc.23379 · Cited by 41
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Yrjölä, S., Sarparanta, M. P., Airaksinen, A. J., Hytti, M., Kauppinen, A., Pasonen‐Seppänen, S., Adinolfi, B., Nieri, P., Manera, C., Keinänen, O. M., et al. (2014) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2014.11.003 · Cited by 35
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Hunerdosse, D. M., & Nomura, D. K. (2014) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2014.02.001 · Cited by 35
Self-citationCheng, D., Li, J., Zhang, L., & Hu, L. (2018) · Oncology Letters · doi:10.3892/ol.2018.9712 · Cited by 35
Enhanced monoacylglycerol lipolysis by ABHD6 promotes NSCLC pathogenesis
Tang, Z., Xie, H., Heier, C., Huang, J., Zheng, Q., Eichmann, T. O., Schoiswohl, G., Ni, J., Zechner, R., Ni, S., et al. (2020) · EBioMedicine · doi:10.1016/j.ebiom.2020.102696 · Cited by 35
Morera, L., Labar, G., Ortar, G., & Lambert, D. M. (2012) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2012.09.011 · Cited by 34
Loss of HSulf-1 promotes altered lipid metabolism in ovarian cancer
Roy, D., Mondal, S., Wang, C., He, X., Khurana, A., Giri, S., Hoffmann, R. G., Jung, D., Kim, S. H., Chini, E. N., et al. (2014) · Cancer & Metabolism · doi:10.1186/2049-3002-2-13 · Cited by 37
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Hernandez, J. L., Davda, D., Majmudar, J. D., Won, S. J., Prakash, A., Choi, A. I., & Martin, B. R. (2016) · Molecular BioSystems · doi:10.1039/c6mb00019c · Cited by 34
Muranaka, H., Hayashi, A., Minami, K., Kitajima, S., Kohno, S., Nishimoto, Y., Nagatani, N., Suzuki, M., Kulathunga, L. A. N., Sasaki, N., et al. (2017) · Oncogenesis · doi:10.1038/oncsis.2017.51 · Cited by 34
Moreno, E., Cavic, M. R., Krivokuća, A., & Canela, E. I. (2020) · Cancers · doi:10.3390/cancers12113275 · Cited by 34
Metabolic reservoir cycles in cancer
Zhang, C., Quinones, A., & Le, A. (2022) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2022.03.023 · Cited by 34
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Lung, J., Hung, M., Wang, T.-Y., Chen, K., Luo, C., Jiang, Y., Wu, S.-Y., Lee, L., Lin, P.-Y., Chen, F., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232012533 · Cited by 33
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Forrest, I., & Parker, C. G. (2023) · Israel Journal of Chemistry · doi:10.1002/ijch.202200098 · Cited by 31
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Huang, X., Liu, B., & Shen, S. (2025) · Cancers · doi:10.3390/cancers17040650 · Cited by 34
Bumpus, N. N., & Johnson, E. F. (2011) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.111.184242 · Cited by 33
Shah, T. K., Krishnamachary, B., Wildes, F. B., Mironchik, Y., Kakkad, S. M., Jacob, D., Artemov, D., & Bhujwalla, Z. M. (2015) · Oncotarget · doi:10.18632/oncotarget.4612 · Cited by 34
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Chattopadhyay, E., & Roy, B. (2017) · Frontiers in Oncology · doi:10.3389/fonc.2017.00043 · Cited by 36
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Gupta, A., Dorlhiac, G., & Streets, A. (2018) · The Analyst · doi:10.1039/c8an01525b · Cited by 34
Jaiswal, S., & Ayyannan, S. R. (2021) · ChemMedChem · doi:10.1002/cmdc.202100120 · Cited by 33
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Xia, L., Wang, Y., Cai, S., & Xu, M. (2021) · Journal of Immunology Research · doi:10.1155/2021/6636791 · Cited by 33
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Dehairs, J., Derua, R., Rueda-Rincón, N., & Swinnen, J. V. (2015) · Drug Discovery Today Technologies · doi:10.1016/j.ddtec.2015.03.002 · Cited by 33
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Antal, O., Péter, M., Hackler, L., Mán, I., Szebeni, G. J., Ayaydin, F., Hidéghety, K., Vı́gh, L., Kitajka, K., Balogh, G. E., et al. (2015) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2015.06.003 · Cited by 33
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Yecies, J. L., & Manning, B. D. (2010) · Cell · doi:10.1016/j.cell.2009.12.037 · Cited by 33
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Hojo, N., Tatsumi, N., Moriguchi, N., Matsumura, A., Morimoto, S., Nakata, J., Fujiki, F., Nishida, S., Nakajima, H., Tsuboi, A., et al. (2015) · Molecular Carcinogenesis · doi:10.1002/mc.22446 · Cited by 32
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Manna, J., Wepy, J. A., Hsu, K., Chang, J. W., Cravatt, B. F., & Marnett, L. J. (2014) · Journal of Biological Chemistry · doi:10.1074/jbc.m114.582353 · Cited by 32
Self-citationCuccurullo, V., Stasio, G. D. D., Evangelista, L., Castoria, G., & Mansi, L. (2016) · Journal of Cellular Physiology · doi:10.1002/jcp.25478 · Cited by 33
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Gao, F., McDaniel, J., Chen, E. Y.-S., Rockwell, H. E., Lynes, M. D., Tseng, Y., Sarangarajan, R., Narain, N. R., & Kiebish, M. A. (2016) · Metabolites · doi:10.3390/metabo6030025 · Cited by 33
Sredni, S. T., Huang, C., Suzuki, M., Pundy, T., Chou, P. M., & Tomita, T. (2016) · Child s Nervous System · doi:10.1007/s00381-016-3243-7 · Cited by 32
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Li, Y., Wan, Y. Y., & Zhu, B. (2017) · Advances in experimental medicine and biology · doi:10.1007/978-94-024-1170-6_5 · Cited by 34
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Jehle, J., Schöne, B., Bagheri, S., Avraamidou, E., Danisch, M., Frank, I., Pfeifer, P., Bîndilă, L., Lutz, B., Lütjohann, D., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0197751 · Cited by 32
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Li, X., Gao, S., Li, W., Liu, Z., Shi, Z., Qiu, C., & Jiang, J. (2019) · Journal of obstetrics and gynaecology research · doi:10.1111/jog.14070 · Cited by 32
Yang, X., Zhang, D., Liu, S., Li, X., Hu, W., & Han, C. (2018) · Europe PMC (PubMed Central) · Cited by 32
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Self-citationKienzl, M., Hasenoehrl, C., Maitz, K. S., Sarsembayeva, A., Taschler, U., Valadez-Cosmes, P., Kindler, O., Ristić, D., Raftopoulou, S., Santiso, A., et al. (2021) · OncoImmunology · doi:10.1080/2162402x.2021.1965319 · Cited by 32
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Kim, J., & Tanner, K. (2015) · Frontiers in Oncology · doi:10.3389/fonc.2015.00170 · Cited by 31
Dross, R. V., Soliman, E., Jha, S., Johnson, T., & Mukhopadhyay, S. (2012) · Life Sciences · doi:10.1016/j.lfs.2012.09.025 · Cited by 31
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Ning, Z., Zhou, H., Wang, F., Abu‐Farha, M., & Figeys, D. (2011) · Analytical Chemistry · doi:10.1021/ac200857t · Cited by 31
Grace, S. A., Meeks, M. W., CHEN, Y., Cornwell, M. L., Ding, X., HOU, P., Rutgers, J. K. L., Crawford, S. E., & Lai, J. (2017) · Anticancer Research · doi:10.21873/anticanres.11366 · Cited by 30
Pheromone-sensing neurons regulate peripheral lipid metabolism in Caenorhabditis elegans
Hussey, R., Stieglitz, J., Mesgarzadeh, J. S., Locke, T. T., Zhang, Y. K., Schroeder, F. C., & Srinivasan, S. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006806 · Cited by 29
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Attané, C., Milhas, D., Hoy, A. J., & Muller, C. (2018) · Current Medicinal Chemistry · doi:10.2174/0929867325666180426165001 · Cited by 32
Medina-Cleghorn, D. A., Heslin, A., Morris, P. J., Mulvihill, M. M., & Nomura, D. K. (2013) · ACS Chemical Biology · doi:10.1021/cb400796c · Cited by 30
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Huang, W., Liang, Y., & Ma, X. (2019) · Cancer Cell International · doi:10.1186/s12935-019-0869-z · Cited by 31
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Lu, J., Muhmood, A., Czekała, W., Mazurkiewicz, J., Dach, J., & Dong, R. (2019) · Water · doi:10.3390/w11112420 · Cited by 29
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Cheung, S. M., Husain, E. A., Mallikourti, V., Masannat, Y., Heys, S. D., & He, J. (2020) · European Radiology · doi:10.1007/s00330-020-07502-4 · Cited by 29
Liu, R., & Godbout, R. (2020) · Cancers · doi:10.3390/cancers12123823 · Cited by 29
Ruidas, B., Sur, T. K., Mukhopadhyay, C. D., Sinha, K., Chaudhury, S. S., Sharma, P., Bhowmick, S., Majumder, R., & Saha, A. (2022) · Breast Cancer · doi:10.1007/s12282-022-01356-y · Cited by 29
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Liu, Y., & Guo, M. (2013) · PROTEOMICS · doi:10.1002/pmic.201300261 · Cited by 28
Goday, A., Barneto, I., García‐Almeida, J. M., Blasco, A., Lecube, A., Grávalos, C., de Icaya, P. M., Peñas, R. D. L., Monereo, S., Vázquez, L., et al. (2015) · Clinical & Translational Oncology · doi:10.1007/s12094-015-1306-y · Cited by 28
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Wagner, M., & Dudley, A. C. (2013) · Adipocyte · doi:10.4161/adip.23016 · Cited by 28
Tardelli, M., Bruschi, F. V., Fuchs, C. D., Claudel, T., Auer, N., Kunczer, V., Baumgartner, M., Ronda, O. A. H. O., Verkade, H. J., Stojaković, T., et al. (2019) · Hepatology · doi:10.1002/hep.30929 · Cited by 28
Zhang, S., Hu, Y., Wu, Z., Zhou, X., Wu, T., Li, P., Lian, Q., Xu, S., Gu, J., Chen, L., et al. (2022) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2022.11.022 · Cited by 29
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
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