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Cellular Fatty Acid Metabolism and Cancer
Open accessAbstract
Cancer cells often have characteristic changes in metabolism. Cellular proliferation, a common feature of all cancers, requires fatty acids for synthesis of membranes and signaling molecules. Here, we provide a view of cancer cell metabolism from a lipid perspective, and we summarize evidence that limiting fatty acid availability can control cancer cell proliferation.
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“For example, expression of ACLY, a key enzyme in the shift from the TCA cycle to lipid formation that has been shown to cause lipid droplet accumulation42, is significantly higher in LDAM than in microglia without lipid droplets.”
From Lipid-droplet-accumulating microglia represent a dysfunctional and proinflammatory state in the aging brain (2020) · cites this paper as [42]
Experimental — accuracy not yet measuredIn the citing paper
“Fatty acid synthesis is an anabolic process that uses cytosolic citrate to produce acetyl-CoA73.”
From Glutamine reliance in cell metabolism (2020) · cites this paper as [73]
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“Next, mitochondrial citrate is transported across the inner mitochondrial membrane via a citrate carrier (CIC or SLC25A1) to support fatty acid synthesis for tumor progression in hypoxia73 (Fig. 4).”
From Glutamine reliance in cell metabolism (2020) · cites this paper as [73]
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“PHD3 is suppressed in cancers that rely on FAO, such as AML and prostate cancer, and elevated in cancers that rely on FAS such as breast and non-small-lung-cell cancer.55–57”
From The multifaceted contributions of mitochondria to cellular metabolism (2018) · cites this paper as [56]
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Cites
Warburg, O. (1956) · Science · doi:10.1126/science.123.3191.309 · Cited by 13,425
SREBPs: activators of the complete program of cholesterol and fatty acid synthesis in the liver
Horton, J. D., Goldstein, J. L., & Brown, M. S. (2002) · Journal of Clinical Investigation · doi:10.1172/jci15593 · Cited by 4,794
SREBPs: activators of the complete program of cholesterol and fatty acid synthesis in the liver
Horton, J. D., Goldstein, J. L., & Brown, M. S. (2002) · Journal of Clinical Investigation · doi:10.1172/jci0215593 · Cited by 4,092
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
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
Cancer cell metabolism: warburg and beyond
Hsu, P. P., & Sabatini, D. M. (2008) · Cell · doi:10.1016/j.cell.2008.08.021 · Cited by 2,452 · cited 1×
“A better understanding of these metabolic changes has prompted new approaches toward cancer therapy (reviewed in Hsu and Sabatini, 2008; Schulze and Harris, 2012).”
BackgroundATP-citrate lyase links cellular metabolism to histone acetylation
Wellen, K. E., Hatzivassiliou, G., Sachdeva, U. M., Bui, T. V., Cross, J. R., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1164097 · Cited by 2,298
Adipocytes promote ovarian cancer metastasis and provide energy for rapid tumor growth
Nieman, K. M., Kenny, H. A., Penicka, C. V., Ladanyi, A., Buell-Gutbrod, R., Zillhardt, M. R., Romero, I. L., Carey, M. S., Mills, G. B., Hotamisligil, G. S., et al. (2011) · Nature Medicine · doi:10.1038/nm.2492 · Cited by 2,279
Wise, D. R., DeBerardinis, R. J., Mancuso, A., Sayed, N., Zhang, X.-Y., Pfeiffer, H. K., Nissim, I., Daikhin, E., Yudkoff, M., McMahon, S. B., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0810199105 · Cited by 2,001
Reductive glutamine metabolism by IDH1 mediates lipogenesis under hypoxia
Metallo, C. M., Gameiro, P. A., Bell, E. L., Mattaini, K. R., Yang, J., Hiller, K., Jewell, C. M., Johnson, Z. R., Irvine, D. J., Guarente, L., et al. (2012) · Nature · doi:10.1038/nature10602 · Cited by 1,791
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Items 301–400 of 1,000
Environmental Optimization Enables Maintenance of Quiescent Hematopoietic Stem Cells Ex Vivo
Kobayashi, H., Morikawa, T., Okinaga, A., Hamano, F., Hashidate‐Yoshida, T., Watanuki, S., Hishikawa, D., Shindou, H., Arai, F., Kabe, Y., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.06.008 · Cited by 87
Daquinag, A. C., Gao, Z., Fussell, C., Immaraj, L., Pasqualini, R., Arap, W., Akimzhanov, A. M., Febbraio, M., & Kolonin, M. G. (2021) · JCI Insight · doi:10.1172/jci.insight.147057 · Cited by 82
Systems biology strategies to study lipidomes in health and disease
Hyötyläinen, T., & Orešič, M. (2014) · Progress in Lipid Research · doi:10.1016/j.plipres.2014.06.001 · Cited by 83
Mycielska, M. E., Dettmer, K., Rümmele, P., Schmidt, K. M., Prehn, C. P., Milenkovic, V. M., Jagla, W., Madej, M. G., Lantow, M., Schladt, M., et al. (2018) · Cancer Research · doi:10.1158/0008-5472.can-17-2959 · Cited by 83
Regulation of Metabolic Activity by p53
Flöter, J., Kaymak, I., & Schulze, A. (2017) · Metabolites · doi:10.3390/metabo7020021 · Cited by 81
Self-citationLiu, Y., Ren, H., Zhou, Y., Shang, L., Zhang, Y., Yang, F., & Shi, X. (2019) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-019-1219-7 · Cited by 82
Ma, S., Zhou, B., Yang, Q., Pan, Y., Yang, W., Freedland, S. J., Ding, L., Freeman, M. R., Breunig, J. J., Bhowmick, N. A., et al. (2021) · Cancer Research · doi:10.1158/0008-5472.can-20-0652 · Cited by 80
Bioactive Lipids and Their Derivatives in Biomedical Applications
Park, J.-W., Choi, J., Kim, D., Lee, S., Lee, B., Lee, Y., Kim, S., Kwon, S., Noh, M., Lee, M., et al. (2021) · Biomolecules & Therapeutics · doi:10.4062/biomolther.2021.107 · Cited by 86
Metabolism-regulated ferroptosis in cancer progression and therapy
Ye, L., Wen, X., Qin, J., Zhang, X., Wang, Y., Wang, Z., Zhou, T., Di, Y., & He, W. (2024) · Cell Death and Disease · doi:10.1038/s41419-024-06584-y · Cited by 90
Omega-3 fatty acids, membrane remodeling and cancer prevention
Fuentes, N. R., Kim, E., Fan, Y., & Chapkin, R. S. (2018) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2018.04.001 · Cited by 84
Metabolic traits of cancer stem cells
Peixoto, J., & Lima, J. P. (2018) · Disease Models & Mechanisms · doi:10.1242/dmm.033464 · Cited by 81
Dropping in on lipid droplets: insights into cellular stress and cancer
Shyu, P. T., Wong, X. F. A., Crasta, K., & Thibault, G. (2018) · Bioscience Reports · doi:10.1042/bsr20180764 · Cited by 85
Targeting Metabolic Reprogramming in Acute Myeloid Leukemia
Castro, I., Sampaio‐Marques, B., & Ludovico, P. (2019) · Cells · doi:10.3390/cells8090967 · Cited by 79
Reiter, R. J., Sharma, R., Ma, Q., Rosales‐Corral, S., & Chuffa, L. G. D. A. (2020) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-019-03438-1 · Cited by 80
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
Lipin-1 regulates cancer cell phenotype and is a potential target to potentiate rapamycin treatment
Brohée, L., Demine, S., Willems, J., Arnould, T., Colige, A., & Deroanne, C. (2015) · Oncotarget · doi:10.18632/oncotarget.3595 · Cited by 80
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Zhu, Z., Zhao, X., Zhao, L., Yang, H., Liu, L., Li, J., Wu, J. F., Yang, F., Huang, G., & Liu, J. (2015) · Oncogene · doi:10.1038/onc.2015.197 · Cited by 79
Wu, J., Zheng, M. H., Zhang, M., Pang, X., Li, L., Wang, S., Yang, X. P., Wu, J., Ya-jie Tang, A., Tang, Y., et al. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.02081 · Cited by 79
Sun, C., Wang, F., Zhang, Y., Yu, J., & Wang, X. (2020) · Theranostics · doi:10.7150/thno.45543 · Cited by 80
Lipid metabolism in cancer: A systematic review
Augustine, D., Khan, W., Rao, R., Patil, S., Awan, K. H., Sowmya, S., Haragannavar, V. C., & Prasad, K. (2021) · Journal of Carcinogenesis · doi:10.4103/jcar.jcar_15_20 · Cited by 78
Brockmoeller, S. F., Echle, A., Laleh, N. G., Eiholm, S., Malmstrøm, M. L., Kühlmann, T. P., Levic, K., Grabsch, H. I., West, N. P., Saldanha, O. L., et al. (2021) · The Journal of Pathology · doi:10.1002/path.5831 · Cited by 78
Antiangiogenic and tumour inhibitory effects of downregulating tumour endothelial FABP4
Harjes, U., Bridges, E., Gharpure, K. M., Roxanis, I., Sheldon, H., Miranda, F., Mangala, L. S., Pradeep, S., Lopez‐Berestein, G., Ahmed, A., et al. (2016) · Oncogene · doi:10.1038/onc.2016.256 · Cited by 78
Lobello, N., Biamonte, F., Pisanu, M. E., Faniello, M. C., Jakopin, Ž., Chiarella, E., Giovannone, E. D., Mancini, R., Ciliberto, G., Cuda, G., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.11495 · Cited by 77
SLC25A1 promotes tumor growth and survival by reprogramming energy metabolism in colorectal cancer
Yang, Y., He, J., Zhang, B., Zhang, Z., Jia, G., Liu, S., Wu, T., He, X., & Wang, N. (2021) · Cell Death and Disease · doi:10.1038/s41419-021-04411-2 · Cited by 76
Spatial single-cell isotope tracing reveals heterogeneity of de novo fatty acid synthesis in cancer
Buglakova, E., Ekelöf, M., Schwaiger-Haber, M., Schlicker, L., Molenaar, M. R., Shahraz, M., Stuart, L., Eisenbarth, A., Hilsenstein, V., Patti, G. J., et al. (2024) · Nature Metabolism · doi:10.1038/s42255-024-01118-4 · Cited by 81
Self-citationKawaguchi, K., Senga, S., Chiaki, K., Kawamura, Y., Ke, Y., & Fujii, H. (2016) · FEBS Open Bio · doi:10.1002/2211-5463.12031 · Cited by 78
Sur, S., Nakanishi, H., Flaveny, C. A., Ippolito, J. E., McHowat, J., Ford, D. A., & Ray, R. B. (2019) · Cell Communication and Signaling · doi:10.1186/s12964-019-0447-y · Cited by 76
Che, L., Paliogiannis, P., Cigliano, A., Pilo, M. G., Chen, X., & Calvisi, D. F. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.01412 · Cited by 76
Mass spectrometry imaging to detect lipid biomarkers and disease signatures in cancer
Holzlechner, M., Eugenín, E. A., & Prideaux, B. (2019) · Cancer Reports · doi:10.1002/cnr2.1229 · Cited by 76
Pinweha, P., Rattanapornsompong, K., Charoensawan, V., & Jitrapakdee, S. (2016) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2016.05.005 · Cited by 75
Metabolic Alterations in Cancer and Their Potential as Therapeutic Targets
Weyandt, J. D., Thompson, C. B., Giaccia, A. J., & Rathmell, W. K. (2017) · American Society of Clinical Oncology Educational Book · doi:10.1200/edbk_175561 · Cited by 77
De novo fatty acid synthesis by Schwann cells is essential for peripheral nervous system myelination
Montani, L., Pereira, J. A., Norrmén, C., Pohl, H., Tinelli, E., Trötzmüller, M., Figlia, G., Dimas, P., von Niederhäusern, B., Schwager, R., et al. (2018) · The Journal of Cell Biology · doi:10.1083/jcb.201706010 · Cited by 82
Wang, Q., Wang, K., Wu, W., Lv, L., Bian, X., Yang, L., Wang, Q., Li, Y., Ye, J., Fang, D., et al. (2020) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-020-10621-z · Cited by 74
Sánchez‐Martínez, R., Cruz-Gil, S., García-Álvarez, M. S., Reglero, G., & de Molina, A. R. (2017) · Scientific Reports · doi:10.1038/s41598-017-11612-3 · Cited by 72
Novel Insights on Lipid Metabolism Alterations in Drug Resistance in Cancer
Yang, R., Yi, M., & Xiang, B. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.875318 · Cited by 80
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Jeong, S. M., & Haigis, M. C. (2015) · Molecules and Cells · doi:10.14348/molcells.2015.0167 · Cited by 74
The BRG1 chromatin remodeling enzyme links cancer cell metabolism and proliferation
Wu, Q., Madany, P., Dobson, J. R., Schnabl, J. M., Sharma, S., Smith, T. C., van Wijnen, A. J., Stein, J. L., Lian, J. B., Stein, G. S., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.9505 · Cited by 76
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
Self-citationFatty 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
Chang, W. H., & Lai, A. G. (2019) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14170 · Cited by 71
mTOR Signaling and SREBP Activity Increase FADS2 Expression and Can Activate Sapienate Biosynthesis
Triki, M., Rinaldi, G., Planque, M., Broekaert, D., Winkelkotte, A. M., Maier, C. R., Raman, S. J., Vandekeere, A., Elsen, J. V., Orth, M. F., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107806 · Cited by 73
Self-citationDetection of Lung Cancer through Metabolic Changes Measured in Blood Plasma
Louis, E., Adriaensens, P., Guedens, W., Bigirumurame, T., Baeten, K., Vanhove, K., Vandeurzen, K., Darquennes, K., Vansteenkiste, J., Dooms, C., et al. (2016) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2016.01.011 · Cited by 73
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Arlauckas, S. P., Popov, A. V., & Delikatny, E. J. (2016) · Progress in Lipid Research · doi:10.1016/j.plipres.2016.03.005 · Cited by 73
Lin, M., Lv, D., Zheng, Y., Wu, M., Xu, C., Zhang, Q., & Wu, L. (2018) · OncoTargets and Therapy · doi:10.2147/ott.s163266 · Cited by 73
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Brotto, D. B., Siena, Á. D. D., de Barros, I. I., Carvalho, S. D. C. E. S., Muys, B. R., Goedert, L., Cardoso, C. C., Plaça, J. R., Ramão, A., Squire, J. A., et al. (2020) · Tumor Biology · doi:10.1177/1010428320918050 · Cited by 73
Kawaguchi, K., Kinameri, A., Suzuki, S., Senga, S., Ke, Y., & Fujii, H. (2015) · Biochemical Journal · doi:10.1042/bj20150926 · Cited by 73
Banerjee, S., Ghosh, S., Mandal, A., Ghosh, N., & Sil, P. C. (2020) · Archives of Toxicology · doi:10.1007/s00204-020-02801-7 · Cited by 74
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Lai, Y., Gao, Y., Lin, J., Liu, F., Yang, L., Zhou, J. H. S., Xue, Y., Li, Y., Chang, Z., Li, J., et al. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2024.01.012 · Cited by 76
Wang, M.-D., Wu, H., Huang, S., Zhang, H., Qin, C., Zhao, L., Fu, G., Zhou, X., Wang, X., Tang, L., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.6817 · Cited by 73
He, J., Zhang, F., Tay, L. W. R., Boroda, S., Nian, W., Levental, K. R., Levental, I., Harris, T. E., Chang, J. T., & Du, G. (2017) · The FASEB Journal · doi:10.1096/fj.201601353r · Cited by 72
Mitra, R., Le, T. T., Gorjala, P., & Goodman, O. B. (2017) · BMC Cancer · doi:10.1186/s12885-017-3589-6 · Cited by 69
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Huang, D., Li, C., & Zhang, H. (2014) · Acta Biochimica et Biophysica Sinica · doi:10.1093/abbs/gmt148 · Cited by 73
Marchan, R., Büttner, B., Lambert, J., Edlund, K., Glaeser, I., Blaszkewicz, M., Leonhardt, G., Marienhoff, L., Kaszta, D., Anft, M., et al. (2017) · Cancer Research · doi:10.1158/0008-5472.can-16-2065 · Cited by 71
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Benatti, P., Chiaramonte, M. L., Lorenzo, M., Hartley, J. A., Hochhauser, D., Gnesutta, N., Mantovani, R., Imbriano, C., & Dolfini, D. (2015) · Oncotarget · doi:10.18632/oncotarget.6453 · Cited by 72
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
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Prusinkiewicz, M. A., Gameiro, S. F., Ghasemi, F., Dodge, M. J., Zeng, P. Y., Maekebay, H., Barrett, J. W., Nichols, A. C., & Mymryk, J. S. (2020) · Cancers · doi:10.3390/cancers12010253 · Cited by 70
Huang, D., Chowdhury, S., Wang, H., Savage, S. R., Ivey, R. G., Kennedy, J. J., Whiteaker, J. R., Lin, C., Hou, X., Oberg, A. L., et al. (2021) · Cell Reports Medicine · doi:10.1016/j.xcrm.2021.100471 · Cited by 74
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Sung, Y., Yu, Y. C., & Han, J. M. (2023) · Experimental & Molecular Medicine · doi:10.1038/s12276-023-01006-z · Cited by 73
Attacking the supply wagons to starve cancer cells to death
Selwan, E. M., Finicle, B. T., Kim, S. M., & Edinger, A. L. (2016) · FEBS Letters · doi:10.1002/1873-3468.12121 · Cited by 73
Multi-dimensional roles of ketone bodies in cancer biology: Opportunities for cancer therapy
Feng, S., Wang, H., Liu, J., Aa, J., Zhou, F., & Wang, G. (2019) · Pharmacological Research · doi:10.1016/j.phrs.2019.104500 · Cited by 70
Shu, Z., Gao, Y., Zhang, G., Zhou, Y., Cao, J., Wan, D., Zhu, X., & Xiong, W. (2019) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.14262 · Cited by 65
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Hershey, B. J., Vazzana, R., Joppi, D., & Havas, K. M. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm9010087 · Cited by 69
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Console, L., Scalise, M., Mazza, T., Pochini, L., Galluccio, M., Giangregorio, N., Tonazzi, A., & Indiveri, C. (2020) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.583850 · Cited by 72
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Li, B., & Sui, L. (2021) · Nutrition & Metabolism · doi:10.1186/s12986-021-00615-7 · Cited by 76
Sun, J., Ding, J., Shen, Q., Wang, X., Wang, M., Huang, Y., Zhang, X., Zhu, H., Zhang, F. S., Wu, D., et al. (2022) · Journal of Hepatology · doi:10.1016/j.jhep.2022.11.017 · Cited by 69
Skoda, J., Borankova, K., Jansson, P. J., Huang, M., Veselská, R., & Richardson, D. R. (2018) · Pharmacological Research · doi:10.1016/j.phrs.2018.11.020 · Cited by 72
Zaoui, M., Morel, M., Ferrand, N., Fellahi, S., Bastard, J., Lamazière, A., Larsen, A. K., Béréziat, V., Atlan, M., & Sabbah, M. (2019) · Cancers · doi:10.3390/cancers11122012 · Cited by 71
Ding, Y., Yu, J., Chen, X., Wang, S., Tu, Z., Shen, G., Wang, H., Jia, R., Ge, S., Ruan, J., et al. (2021) · Advanced Science · doi:10.1002/advs.202002404 · Cited by 66
Kajiwara, K., Osaki, H., Greßies, S., Kuwata, K., Kim, J. H., Gensch, T., Sato, Y., Glorius, F., Yamaguchi, S., & Taki, M. (2022) · Nature Communications · doi:10.1038/s41467-022-30153-6 · Cited by 70
Xu, K., Xia, P., Gongye, X., Zhang, X., Ma, S., Chen, Z., Zhang, H., Liu, J., Liu, Y., Guo, Y., et al. (2022) · Molecular Metabolism · doi:10.1016/j.molmet.2022.101540 · Cited by 68
Lee, H. J., Ryu, J. M., Jung, Y. H., Oh, S. Y., Lee, S., & Han, H. J. (2015) · Stem Cells · doi:10.1002/stem.2020 · Cited by 68
Guo, W., Ma, J., Yang, Y., Guo, S., Zhang, W., Zhao, T., Yi, X., Wang, H., Wang, S., Liu, Y., et al. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-19-1359 · Cited by 72
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González‐Romero, F., Mestre, D., Aurrekoetxea, I., O’Rourke, C. J., Andersen, J. B., Woodhoo, A., Tamayo-Caro, M., Varela‐Rey, M., Palomo-Irigoyen, M., Gómez‐Santos, B., et al. (2021) · Cancer Research · doi:10.1158/0008-5472.can-20-2052 · Cited by 72
The modified mitochondrial outer membrane carrier MTCH2 links mitochondrial fusion to lipogenesis
Labbè, K., Mookerjee, S. A., Vasseur, M. L., Gibbs, E., Lerner, C. A., & Nunnari, J. M. (2021) · The Journal of Cell Biology · doi:10.1083/jcb.202103122 · Cited by 70
Chkourko, H., Diedrich, J. D., MacDougald, O. A., & Podgorski, I. (2016) · Obesity Reviews · doi:10.1111/obr.12450 · Cited by 68
Chen, J., Alduais, Y., Zhang, K., Zhu, X., & Chen, B. (2021) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.16815 · Cited by 66
Wang, X.-Y., Liu, Y., Han, A., Tang, C., Xu, R., Feng, L.-Y., Yang, Y., Chen, L.-Y., & Lin, Z.-D. (2022) · Oncogene · doi:10.1038/s41388-022-02477-6 · Cited by 50
Sun, H., Zhang, L., Wang, Z., Gu, D., Zhu, M., Cai, Y., Li, L., Tang, J., Huang, B., Bosco, B., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41318-2 · Cited by 68
Tyszka‐Czochara, M., Konieczny, P. S., & Majka, M. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18020462 · Cited by 66
Dysregulated metabolic enzymes and metabolic�reprogramming in cancer cells (Review)
Sreedhar, A., & Zhao, Y. (2017) · Biomedical Reports · doi:10.3892/br.2017.1022 · Cited by 71
Li, E.-Q., Zhao, W., Zhang, C., Qin, L.-Z., Liu, S., Feng, Z., Wen, X., & Chen, C. (2019) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2019.105010 · Cited by 66
Liu, Z., Zhang, Y., Zhou, Z., Zong, Y., Zheng, Y., Liu, C., Kong, N., Gao, Q., Wang, L., & Song, L. (2020) · Scientific Reports · doi:10.1038/s41598-020-62963-3 · Cited by 69
Ferreri, C., Sansone, A., Rosaria, F., Amézaga, J., & Tueros, I. (2020) · Metabolites · doi:10.3390/metabo10090345 · Cited by 68
Double face of cytochrome c in cancers by Raman imaging
Abramczyk, H., Brożek-Płuska, B., & Kopeć, M. (2022) · Scientific Reports · doi:10.1038/s41598-022-04803-0 · Cited by 63
Kan, C. F. K., Singh, A. B., Stafforini, D. M., Azhar, S., & Liu, J. (2014) · Journal of Lipid Research · doi:10.1194/jlr.m045971 · Cited by 65
Novel strategies of Raman imaging for brain tumor research
Imiela, A., Polis, B., Polis, L., & Abramczyk, H. (2017) · Oncotarget · doi:10.18632/oncotarget.19668 · Cited by 64
A plasma metabolite panel as biomarkers for early primary breast cancer detection
Yuan, B., Schafferer, S., Tang, Q., Scheffler, M., Nees, J., Heil, J., Schott, S., Golatta, M., Wallwiener, M., Sohn, C., et al. (2018) · International Journal of Cancer · doi:10.1002/ijc.31996 · Cited by 64
Monocarboxylate transporter antagonism reveals metabolic vulnerabilities of viral-driven lymphomas
Bonglack, E. N., Messinger, J. E., Cable, J. M., Ch’ng, J., Parnell, K. M., Reinoso-Vizcaíno, N. M., Barry, A. P., Russell, V. S., Davé, S. S., Christofk, H. R., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2022495118 · Cited by 64
Drury, J., Rychahou, P. G., Kelson, C. O., Geisen, M. E., Wu, Y., He, D., Wang, C., Lee, E. Y., Evers, B. M., & Zaytseva, Y. Y. (2022) · Cancers · doi:10.3390/cancers14010252 · Cited by 64
Zheng, Y., Xu, R., Chen, X., Lu, Y., Zheng, J., Lin, Y., Lin, P., Zhao, X., & Cui, L. (2024) · Cell Death and Disease · doi:10.1038/s41419-024-07122-6 · Cited by 66
Fahrmann, J. F., Grapov, D., Phinney, B. S., Stroble, C., DeFelice, B. C., Rom, W. N., Gandara, D. R., Zhang, Y., Fiehn, O., Pass, H. I., et al. (2016) · Clinical Proteomics · doi:10.1186/s12014-016-9132-y · Cited by 65
Bratchenko, I. А., Artemyev, D. N., Myakinin, O. O., Khristoforova, Y. А., Moryatov, A. A., Kozlov, S. V., & Zakharov, V. P. (2017) · Journal of Biomedical Optics · doi:10.1117/1.jbo.22.2.027005 · Cited by 64
High-grade ovarian serous carcinoma patients exhibit profound alterations in lipid metabolism
Braicu, E. I., Darb‐Esfahani, S., Schmitt, W., Koistinen, K. M., Heiskanen, L., Pöhö, P., Budczies, J., Kuhberg, M., Dietel, M., Frezza, C., et al. (2017) · Oncotarget · doi:10.18632/oncotarget.22076 · Cited by 64
Xia, W., Chen, Y., Zhang, R., Yan, Z., Zhou, X., Zhang, B., & Gao, X. (2018) · Physics in Medicine and Biology · doi:10.1088/1361-6560/aaa609 · Cited by 63
Perspectives Regarding the Intersections between STAT3 and Oxidative Metabolism in Cancer
Chun, K., Jang, J., & Kim, D. (2020) · Cells · doi:10.3390/cells9102202 · Cited by 62
Fatty Acid Metabolism and Cancer
Jin, Z., Chai, Y., & Hu, S. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-51652-9_16 · Cited by 66
Ito, H., Nakamae, I., Kato, J., & Yoneda‐Kato, N. (2021) · Journal of Clinical Investigation · doi:10.1172/jci141529 · Cited by 70
Chattopadhyay, I., Gundamaraju, R., Jha, N. K., Gupta, P. K., Dey, A., Mandal, C. C., & Ford, B. M. (2022) · Disease Markers · doi:10.1155/2022/2941248 · Cited by 67
Therapeutic Implications of FABP4 in Cancer: An Emerging Target to Tackle Cancer
Sun, N., & Zhao, X. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.948610 · Cited by 63
Anoikis in cancer: The role of lipid signaling
Raeisi, M., Zehtabi, M., Velaei, K., Fayyazpour, P., Aghaei, N., & Mehdizadeh, A. (2022) · Cell Biology International · doi:10.1002/cbin.11896 · Cited by 62
Metadata
- Authors
- Currie, E., Schulze, A., Zechner, R., Walther, T. C., & Farese, R. V.
- Affiliations
- University of California, San Francisco (US)
- Cancer Research UK (GB)
- University of Graz (AT)
- Yale University (US)
- Corresponding author
- Farese, Robert V.
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2013-08
- Volume
- 18
- Issue
- 2
- Pages
- 153-161
- ISSN
- 1550-4131 (ISSN-L)
- PMC
- PMC3742569
- OpenAlex
- W1980568044
- Cited by
- 2,123
- References
- 82
- Citations by year
- 2026: 118 · 2025: 221 · 2024: 228 · 2023: 221 · 2022: 266 · 2021: 204 · 2020: 193 · 2019: 177 · 2018: 139 · 2017: 122 · 2016: 115 · 2015: 72 · 2014: 41 · 2013: 1
- FWCI
- 6.32
- 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, 370 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 Metabolism (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of General Medical Sciences (R01GM099844, R01GM097194)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK056084, P30DK063720, P30DK026743)
- 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 › Cancer Research › Cancer, Hypoxia, and Metabolism
- Keywords
- fatty acid metabolism, cancer metabolism, lipid metabolism, tumor cell proliferation, fatty acid availability, membrane lipid synthesis
- MeSH terms
- Energy Metabolism, Fatty Acids, Humans, Neoplasms, Cell Proliferation, Lipid Metabolism
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