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 501–600 of 1,000
Lipids as Tumoricidal Components of Human α-Lactalbumin Made Lethal to Tumor Cells (HAMLET)
Ho, J. C. S., Storm, P., Rydström, A., Bowen, B. P., Alsin, F., Sullivan, L. M., Ambite, I., Mok, K. H., Northen, T. R., & Svanborg, C. (2013) · Journal of Biological Chemistry · doi:10.1074/jbc.m113.468405 · Cited by 27
Quintana, P. G., Liñares, G. G., Chanquia, S. N., Gorojod, R. M., Kotler, M. L., & Baldessari, A. (2015) · European Journal of Organic Chemistry · doi:10.1002/ejoc.201501263 · Cited by 27
The contrary intracellular and extracellular functions of PEDF in HCC development
Li, C., Huang, Z., Zhu, L., Yu, X., Gao, T., Feng, J., Hong, H., Yin, H., Zhou, T., Qi, W., et al. (2019) · Cell Death and Disease · doi:10.1038/s41419-019-1976-4 · Cited by 26
Li, P., Zhang, Y., Zhang, Y., Jiang, W., Wang, Y., Zhang, Y.-S., Sun, Z.-Z., Li, C., Zhang, Y., Shi, M., et al. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.00009 · Cited by 28
Steatosis in metabolic diseases: A focus on lipolysis and lipophagy
Zhao, X., Amevor, F. K., Cui, Z., Wan, Y., Xue, X., Peng, C. Y., & Li, Y. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.114311 · Cited by 27
Prdm5 suppresses ApcMin-driven intestinal adenomas and regulates monoacylglycerol lipase expression
Galli, G. G., Multhaupt, H. A. B., Carrara, M., de Lichtenberg, K. H., Christensen, I. B. J., Linnemann, D., Santoni‐Rugiu, E., Calogero, R., & Lund, A. H. (2013) · Oncogene · doi:10.1038/onc.2013.283 · Cited by 28
Korhonen, J., Kuusisto, A., van Bruchem, J., Patel, J. Z., Laitinen, T., Navia‐Paldanius, D., Laitinen, J. T., Savinainen, J. R., Parkkari, T., & Nevalainen, T. (2014) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2014.09.012 · Cited by 27
A role for oleoylethanolamide in chronic lymphocytic leukemia
Masoodi, M., Lee, E., Eiden, M. J., Bahlo, A., Shi, Y., Ceddia, R. B., Baccei, C. S., Prasit, P., & Spaner, D. (2014) · Leukemia · doi:10.1038/leu.2014.10 · Cited by 27
Selective inhibition of plant serine hydrolases by agrochemicals revealed by competitive ABPP
Kaschani, F., Nickel, S., Pandey, B., Cravatt, B. F., Kaiser, M., & van der Hoorn, R. A. L. (2011) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2011.06.040 · Cited by 27
Self-citationNovel strategies of Raman imaging for exploring cancer lipid reprogramming
Abramczyk, H., Imiela, A., & Śliwińska, A. (2018) · Journal of Molecular Liquids · doi:10.1016/j.molliq.2018.10.082 · Cited by 27
The peculiarities of cancer cell metabolism: A route to metastasization and a target for therapy
Carvalho, T. M. A., Cardoso, H. J., Figueira, M. I., Vaz, C. V., & Socorro, S. (2019) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2019.03.053 · Cited by 27
Endocannabinoid system and the expression of endogenous ceramides in human hepatocellular carcinoma
Yang, J., Tian, Y., Zheng, R., Li, L., & Qiu, F. (2019) · Oncology Letters · doi:10.3892/ol.2019.10399 · Cited by 27
Hofer, P., Taschler, U., Schreiber, R., Kotzbeck, P., & Schoiswohl, G. (2020) · Metabolites · doi:10.3390/metabo10040147 · Cited by 26
Lipid Biomarkers in Liquid Biopsies: Novel Opportunities for Cancer Diagnosis
Sagini, K., Urbanelli, L., Buratta, S., Emiliani, C., & Llorente, A. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics15020437 · Cited by 30
Loratadine analogues as MAGL inhibitors
Patel, J. Z., Ahenkorah, S., Vaara, M., Staszewski, M., Adams, Y., Laitinen, T., Navia‐Paldanius, D., Parkkari, T., Savinainen, J. R., Walczyński, K., et al. (2015) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2015.02.037 · Cited by 28
Local adipocyte cancer cell paracrine loop: can “sick fat” be more detrimental?
Rio, M., Dali‐Youcef, N., & Tomasetto, C. (2015) · Hormone Molecular Biology and Clinical Investigation · doi:10.1515/hmbci-2014-0044 · Cited by 29
Synthetic Cannabinoid Receptor Agonists and Antagonists: Implication in CNS Disorders
Manera, C., Arena, C., & Chicca, A. (2016) · Recent Patents on CNS Drug Discovery · doi:10.2174/1574889810666160519113853 · Cited by 26
Cancer cell lipid class homeostasis is altered under nutrient-deprivation but stable under hypoxia
Lisec, J., Jaeger, C., Rashid, R., Munir, R., & Zaidi, N. (2019) · BMC Cancer · doi:10.1186/s12885-019-5733-y · Cited by 27
Stefano, M. D., Masoni, S., Bononi, G., Poli, G., Galati, S., Gado, F., Manzi, S., Vagaggini, C., Brai, A., Caligiuri, I., et al. (2023) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2023.115916 · Cited by 28
Csibi, A., & Blenis, J. (2011) · BMC Biology · doi:10.1186/1741-7007-9-69 · Cited by 26
Cholesteryl Esters: Fueling the Fury of Prostate Cancer
Peck, B., & Schulze, A. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.02.012 · Cited by 26
Zhang, Y., Qiu, L., Wang, Y., Qin, X., & Li, Z. (2014) · The Analyst · doi:10.1039/c3an02130k · Cited by 26
Effects of bleomycin and antioxidants on the fatty acid profile of testicular cancer cell membranes
Çört, A., Özben, T., Melchiorre, M., Chatgilialoglu, C., Ferreri, C., & Sansone, A. (2015) · Biochimica et Biophysica Acta (BBA) - Biomembranes · doi:10.1016/j.bbamem.2015.12.005 · Cited by 26
Afzal, O., Akhtar, M. S., Kumar, S., Ali, M. R., Jaggi, M., & Bawa, S. (2016) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2016.05.038 · Cited by 26
Molecular Mechanisms of snoRNA-IL-15 Crosstalk in Adipocyte Lipolysis and NK Cell Rejuvenation
Zhang, Y., Zhao, Z., Huang, L. A., Liu, Y., Yao, J., Sun, C., Li, Y., Zhang, Z., Ye, Y., Yuan, F., et al. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2023.05.009 · Cited by 26
PLA2G16 Expression in Human Osteosarcoma Is Associated with Pulmonary Metastasis and Poor Prognosis
Liang, S., Ren, Z., Han, X., Yang, J., Shan, L., Li, L., Wang, B., Zhang, Q., Mu, T., Chen, K., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0127236 · Cited by 25
Chemoproteomic Evaluation of the Polyacetylene Callyspongynic Acid
Nickel, S., Serwa, R. A., Kaschani, F., Ninck, S., Zweerink, S., Tate, E. W., & Kaiser, M. (2015) · Chemistry - A European Journal · doi:10.1002/chem.201500934 · Cited by 25
Medina-Cleghorn, D., & Nomura, D. K. (2014) · Chemistry & Biology · doi:10.1016/j.chembiol.2014.07.007 · Cited by 25
Self-citationCancer Cell Metabolism as New Targets for Novel Designed Therapies
de Mas, I. M., Aguilar, E., Jayaraman, A., Polat, I. H., Martín-Bernabé, A., Bharat, R., Foguet, C., Milà, E., Papp, B., Centelles, J. J., et al. (2014) · Future Medicinal Chemistry · doi:10.4155/fmc.14.119 · Cited by 25
Aging modifies the enzymatic activities involved in 2‐arachidonoylglycerol metabolism
Pascual, A. C., Gaveglio, V. L., Giusto, N. M., & Pasquaré, S. J. (2012) · BioFactors · doi:10.1002/biof.1055 · Cited by 25
Hagmann, J. (2011) · Swiss Medical Weekly · doi:10.4414/smw.2011.13250 · Cited by 28
Crosstalk between lipid metabolism and EMT: emerging mechanisms and cancer therapy
Din, Z. U., Cui, B., Wang, C., Zhang, X., Mehmood, A., Peng, F., & Liu, Q. (2024) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-024-04995-1 · Cited by 26
Sun, H., Meng, W., Zhu, J., & Wang, L. (2022) · Naunyn-Schmiedeberg s Archives of Pharmacology · doi:10.1007/s00210-022-02200-y · Cited by 24
Aberrant Lipid Metabolism in Cancer: Current Status and Emerging Therapeutic Perspectives
Irshad, R., Tabassum, S., & Husain, M. (2023) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026623666230522103321 · Cited by 25
Müller, G. A. (2010) · Archives of Physiology and Biochemistry · doi:10.3109/13813455.2010.513393 · Cited by 24
4-Aryliden-2-methyloxazol-5(4H)-one as a new scaffold for selective reversible MAGL inhibitors
Granchi, C., Rizzolio, F., Bordoni, V., Caligiuri, I., Manera, C., Macchia, M., Minutolo, F., Martinelli, A., Giordano, A., & Tuccinardi, T. (2015) · Journal of Enzyme Inhibition and Medicinal Chemistry · doi:10.3109/14756366.2015.1010530 · Cited by 24
Novel approaches to map small molecule–target interactions
Kapoor, S., Waldmann, H., & Ziegler, S. (2016) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2016.05.020 · Cited by 26
Onagi, J., Komatsu, T., Ichihashi, Y., Kuriki, Y., Kamiya, M., Terai, T., Ueno, T., Hanaoka, K., Matsuzaki, H., Hata, K., et al. (2017) · Journal of the American Chemical Society · doi:10.1021/jacs.6b11376 · Cited by 24
Santana-Filho, A. P., Jacomasso, T., Riter, D. S., Barison, A., Iacomini, M., Winnischofer, S. M. B., & Sassaki, G. L. (2017) · Scientific Reports · doi:10.1038/srep42324 · Cited by 24
Yoneten, K. K., Kasap, M., Akpınar, G., Güneş, A., Gürel, B., & Utkan, N. Z. (2019) · Cancer Genomics & Proteomics · doi:10.21873/cgp.20143 · Cited by 25
Augimeri, G., Gelsomino, L., Plastina, P., Giordano, C., Barone, I., Catalano, S., Andò, S., & Bonofiglio, D. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21249721 · Cited by 26
The Xenopus oocyte: A model for studying the metabolic regulation of cancer cell death
Nutt, L. K. (2012) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2012.03.015 · Cited by 24
Endocannabinoids as Guardians of Metastasis
Tegeder, I. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17020230 · Cited by 24
Tie, C., Hu, T., Jia, Z., & Zhang, J. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b00799 · Cited by 23
The Role of Glucose and Lipid Metabolism in Growth and Survival of Cancer Cells
Brault, C., & Schulze, A. (2016) · Recent results in cancer research/Recent Results in Cancer Research · doi:10.1007/978-3-319-42118-6_1 · Cited by 22
Shen, X., Yue, M., Meng, F., Zhu, J., Zhu, X., & Jiang, Y. (2016) · Oncology Letters · doi:10.3892/ol.2016.5122 · Cited by 23
Metabolomic identification of diagnostic serum-based biomarkers for advanced stage melanoma
Bayci, A., Baker, D. A., Somerset, A. E., Türkoğlu, O., Hothem, Z. A., Callahan, R. E., Mandal, R., Han, B., Bjorndahl, T. C., Wishart, D. S., et al. (2018) · Metabolomics · doi:10.1007/s11306-018-1398-9 · Cited by 25
Fang, X. H., Sun, R. B., Hu, Y., Wang, H., Guo, Y., Yang, B., Pi, J., & Xu, Y. (2018) · Metallomics · doi:10.1039/c8mt00251g · Cited by 22
Ruidas, B., Chaudhury, S. S., Pal, K., Sarkar, P. K., & Mukhopadhyay, C. D. (2019) · Nanomedicine · doi:10.2217/nnm-2018-0187 · Cited by 23
Targeting lipid metabolism via nanomedicine: A prospective strategy for cancer therapy
Huang, X., Hou, S., Li, Y., Xu, G., Xia, N., Duan, Z., Luo, K., & Tian, B. (2024) · Biomaterials · doi:10.1016/j.biomaterials.2024.123022 · Cited by 23
Arlia‐Ciommo, A., Svistkova, V., Mohtashami, S., & Titorenko, V. I. (2015) · Oncotarget · doi:10.18632/oncotarget.6440 · Cited by 22
Sheyhidin, I., Kelimu, A., Xie, R., Zhang, K., Zhuang, Z., & Mamtimin, B. (2016) · Neurology India · doi:10.4103/0028-3886.177606 · Cited by 22
Grimsey, N. L., Savinainen, J. R., Attili, B. N. N. R., & Ahamed, M. (2019) · Drug Discovery Today · doi:10.1016/j.drudis.2019.10.004 · Cited by 22
Precision nutrition to target lipid metabolism alterations in cancer
de Cedrón, M. G., & de Molina, A. R. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-819178-1.00028-9 · Cited by 23
Monoacylglycerol lipase reprograms lipid precursors signaling in liver disease
Tardelli, M. (2020) · World Journal of Gastroenterology · doi:10.3748/wjg.v26.i25.3577 · Cited by 21
Hasan, N., Imran, M., Sheikh, A., Saad, S., Chaudhary, G., Jain, G. K., Kesharwani, P., & Ahmad, F. J. (2022) · Journal of drug targeting · doi:10.1080/1061186x.2022.2056188 · Cited by 22
Systematic identification of biomarker-driven drug combinations to overcome resistance
Rees, M. G., Brenan, L., DoCarmo, M., Duggan, P., Bajrami, B., Arciprete, M., Boghossian, A. S., Vaimberg, E. W., Ferrara, S. J., Lewis, T. A., et al. (2022) · Nature Chemical Biology · doi:10.1038/s41589-022-00996-7 · Cited by 22
Nanomaterials modulate tumor-associated macrophages for the treatment of digestive system tumors
Li, H., Wang, S., Yang, Z., Meng, X., & Niu, M. (2024) · Bioactive Materials · doi:10.1016/j.bioactmat.2024.03.003 · Cited by 22
Conversion of a Mono‐ and Diacylglycerol Lipase into a Triacylglycerol Lipase by Protein Engineering
Lan, D., Popowicz, G. M., Pavlidis, Ι. V., Zhou, P., Bornscheuer, U. T., & Wang, Y. (2015) · ChemBioChem · doi:10.1002/cbic.201500163 · Cited by 21
Proteome-wide Analysis Reveals Substrates of E3 Ligase RNF146 Targeted for Degradation
Nie, L., Wang, C., Li, N., Feng, X., Lee, N., Su, D., Tang, M., Yao, F., & Chen, J. (2020) · Molecular & Cellular Proteomics · doi:10.1074/mcp.ra120.002290 · Cited by 20
Zhou, S., Liu, R. R., Yuan, K., Yi, T., Zhao, X., Huang, C., & Wei, Y. (2012) · Mass Spectrometry Reviews · doi:10.1002/mas.21362 · Cited by 21
Watanabe, L. P., Gordon, C., Momeni, M. Y., & Riddle, N. C. (2020) · G3 Genes Genomes Genetics · doi:10.1534/g3.119.401034 · Cited by 20
Importance of lactate dehydrogenase (LDH) and monocarboxylate transporters (MCTs) in cancer cells
Hatami, H., Sajedi, A., Mir, S. M., & Memar, M. Y. (2022) · Health Science Reports · doi:10.1002/hsr2.996 · Cited by 21
Novel lipid antigens for NKT cells in cancer
Lee, M. S., & Webb, T. J. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1173375 · Cited by 20
Tissue fatty acid composition in human urothelial carcinoma
Miryaghoubzadeh, J., Darabi, M., Madaen, K., Shaaker, M., Mehdizadeh, A., & Hajihosseini, R. (2013) · British Journal of Biomedical Science · doi:10.1080/09674845.2013.11669921 · Cited by 20
The metabolic switch and its regulation in cancer cells
Zhou, S., Huang, C., & Wei, Y. (2010) · Science China Life Sciences · doi:10.1007/s11427-010-4041-1 · Cited by 21
All in the family: Clueing into the link between metabolic syndrome and hematologic malignancies
Karmali, R., Dalovisio, A. P., Borgia, J. A., Venugopal, P., Kim, B. W., Grant-Szymanski, K., Hari, P., & Lazarus, H. M. (2014) · Blood Reviews · doi:10.1016/j.blre.2014.09.010 · Cited by 20
Matuszak, N., Hamtiaux, L., Baldeyroux, B., Muccioli, G. G., Poupaert, J. H., Lansiaux, A., & Lambert, D. M. (2011) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2011.11.011 · Cited by 20
Metabolism and cancer: an up-to-date review of a mutual connection.
Mentis, A. A., & Kararizou, E. G. (2010) · PubMed · Cited by 20
Hsu, J.-Y., Hsu, J., Chen, Y., Shih, C.-L., Hsu, Y.-S., Chen, Y., Tsai, S.-H., & Liao, P. (2016) · Analytica Chimica Acta · doi:10.1016/j.aca.2016.07.032 · Cited by 20
Riccardi, L., Arencibia, J. M., Bono, L., Armirotti, A., Girotto, S., & Vivo, M. D. (2017) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2017.01.002 · Cited by 20
Lauria, S., Perrotta, C., Casati, S., Renzo, I. D., Ottria, R., Eberini, I., Palazzolo, L., Parravicini, C., & Ciuffreda, P. (2018) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2018.04.024 · Cited by 20
The Distinctive Serum Metabolomes of Gastric, Esophageal and Colorectal Cancers
Ren, Z., Rajani, C., & Jia, W. P. (2021) · Cancers · doi:10.3390/cancers13040720 · Cited by 21
Loss of HSulf-1: The Missing Link between Autophagy and Lipid Droplets in Ovarian Cancer
Roy, D., Mondal, S., Khurana, A., Jung, D., Hoffmann, R. G., He, X., Kalogera, E., Dierks, T., Hammond, E., Dredge, K. S., et al. (2017) · Scientific Reports · doi:10.1038/srep41977 · Cited by 20
Benchama, O., Tyukhtenko, S. I., Malamas, M. S., Williams, M. K., Makriyannis, A., & Avraham, H. K. (2022) · Scientific Reports · doi:10.1038/s41598-022-09358-8 · Cited by 19
Liu, D., Duan, X., Liu, B., Wang, J., Gao, Q., Sun, X., & Xu, Y. (2022) · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · doi:10.1016/j.saa.2022.122209 · Cited by 19
Zhou, C., Huang, Y., Da, M., Jin, W., & Zhou, F. (2023) · Discover Oncology · doi:10.1007/s12672-023-00704-4 · Cited by 20
The Clinical Validation of Modulated Electro-Hyperthermia (mEHT)
Lee, S., Lóránt, G., Grand, L., & Szász, A. M. (2023) · Cancers · doi:10.3390/cancers15184569 · Cited by 19
Laitinen, T., Navia‐Paldanius, D., Rytilahti, R., Marjamaa, J. J. T., Kařízková, J., Parkkari, T., Pantsar, T., Poso, A., Laitinen, J. T., & Savinainen, J. R. (2013) · Molecular Pharmacology · doi:10.1124/mol.113.090795 · Cited by 19
Cannabinoids in Gynecological Diseases
Luschnig, P., & Schicho, R. (2019) · Medical Cannabis and Cannabinoids · doi:10.1159/000499164 · Cited by 19
Conformational gating, dynamics and allostery in human monoacylglycerol lipase
Tyukhtenko, S. I., Ma, X., Rajarshi, G., Karageorgos, I. L., Anderson, K. W., Hudgens, J. W., Guo, J. J., Nasr, M. L., Zvonok, N., Vemuri, K. V., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-75497-5 · Cited by 20
Monoacylglycerol lipase (MAGL) inhibitors based on a diphenylsulfide-benzoylpiperidine scaffold
Bononi, G., Tonarini, G., Poli, G., Barravecchia, I., Caligiuri, I., Macchia, M., Rizzolio, F., Demontis, G. C., Minutolo, F., Granchi, C., et al. (2021) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2021.113679 · Cited by 21
New Insights into Antimetastatic and Antiangiogenic Effects of Cannabinoids
Ramer, R., & Hinz, B. (2014) · International review of cytology · doi:10.1016/bs.ircmb.2014.10.005 · Cited by 19
Iannotti, F. A., & Marzo, V. D. (2025) · Pharmacological Reviews · doi:10.1016/j.pharmr.2025.100070 · Cited by 23
Cancer risks from diabetes therapies: Evaluating the evidence
Li, C., & Kong, D. (2014) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2014.05.006 · Cited by 18
Ma, X., Xia, M., Wei, L., Guo, K., Sun, R., Liu, Y., Qiu, C., & Jiang, J. (2022) · Cell Death and Disease · doi:10.1038/s41419-022-05507-z · Cited by 18
Deng, R., Zhu, Y., Liu, K., Zhang, Q., Hu, S., Wang, M., & Zhang, Y. (2024) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2024.107212 · Cited by 18
Chemical Proteomics–Guided Discovery of Covalent Ligands for Cancer Proteins
Zhang, X., & Cravatt, B. F. (2024) · Annual Review of Cancer Biology · doi:10.1146/annurev-cancerbio-061421-041946 · Cited by 19
Self-citationDietary lipids and adipocytes: potential therapeutic targets in cancers
Kwan, H. Y., Chao, X., Su, T., Fu, X., Liu, B., Tse, A. K., Fong, W. F., & Yu, Z. (2014) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2014.11.001 · Cited by 18
Perttula, K. (2014) · Journal of Postgenomics Drug & Biomarker Development · doi:10.4172/2153-0769.1000131 · Cited by 19
Development of an activity-based probe for acyl-protein thioesterases
Garland, M., Schulze, C. J., Foe, I. T., van der Linden, W. A., Child, M. A., & Bogyo, M. S. (2018) · PLoS ONE · doi:10.1371/journal.pone.0190255 · Cited by 18
Small-Molecule Modulation of Lipid-Dependent Cellular Processes against Cancer: Fats on the Gunpoint
Srivatsav, A. T., Mishra, M., & Kapoor, S. (2018) · BioMed Research International · doi:10.1155/2018/6437371 · Cited by 18
Wang, W., Xin, J., Yang, X. N., Lam, S. M., Shui, G., Wang, Y., & Huang, X. (2018) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2018.11.010 · Cited by 17
Li, G., Eckert, M. A., Chang, J. W., Montgomery, J. E., Chryplewicz, A., Lengyel, E. R., & Moellering, R. E. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1912934116 · Cited by 18
Lipid Metabolism in Cancer Cells
Zheng, M., Wang, W., Liu, J., Zhang, X., & Zhang, R. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-981-33-6785-2_4 · Cited by 19
Mass spectrometry‐based proteomics: qualitative identification to activity‐based protein profiling
Cardoza, J. D., Parikh, J. R., Ficarro, S. B., & Marto, J. A. (2012) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.166 · Cited by 21
Viveros, M., Bermúdez‐Silva, F. J., López-Rodríguez, A. B., & Wagner, E. J. (2011) · Pharmaceuticals · doi:10.3390/ph4081101 · Cited by 19
The evolving role of the endocannabinoid system in gynaecological cancer
Ayakannu, T., Taylor, A. H., Willets, J. M., & Konje, J. C. (2015) · Human Reproduction Update · doi:10.1093/humupd/dmv022 · Cited by 18
The Multifaceted Role of Hypoxia‐Inducible Factor 1 (HIF1) in Lipid Metabolism
Shen, G., & Li, X. (2017) · InTech eBooks · doi:10.5772/65340 · Cited by 18
Liao, Z., Xu, H., Wei, Y., Zhang, Q., & Liang, M. (2018) · Aquaculture Research · doi:10.1111/are.13806 · Cited by 18
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