Abstract
Due to their role in cellular structure, energetics, and signaling, characterization of changes in cellular and extracellular lipid composition is of key importance to understand cancer biology. In addition, several mass spectrometry-based profiling as well as imaging studies have indicated that lipid molecules may be useful to augment existing biochemical and histopathological methods for diagnosis, staging, and prognosis of cancer. Therefore, analysis of lipidomic changes associated with cancer cells and tumor tissues can be useful for both fundamental and translational studies. Here, we provide a high-throughput single-extraction-based method that can be used for simultaneous lipidomic and metabolomic analysis of cancer cells or healthy or tumor tissue samples. In this chapter, a modified Bligh-Dyer method is described for extraction of lipids followed by analysis of fatty acid composition by gas chromatography-mass spectrometry (GC-MS) or untargeted lipidomics using electrospray ionization mass spectrometry (ESIMS) coupled with reverse-phase (RP) ultraperformance liquid chromatography (UPLC) followed by multivariate data analysis to identify features of interest.
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References
Fahy E, Cotter D, Sud M, Subramaniam S (2011) Lipid classification, structures and tools. Biochim Biophys Acta 1811(11):637–647. https://doi.org/10.1016/j.bbalip.2011.06.009
Nomura DK, Cravatt BF (2013) Lipid metabolism in cancer. Biochim Biophys Acta 1831(10):1497–1498. https://doi.org/10.1016/j.bbalip.2013.08.001
Beloribi-Djefaflia S, Vasseur S, Guillaumond F (2016) Lipid metabolic reprogramming in cancer cells. Oncogene 5:e189. https://doi.org/10.1038/oncsis.2015.49
Carracedo A, Cantley LC, Pandolfi PP (2013) Cancer metabolism: fatty acid oxidation in the limelight. Nat Rev Cancer 13(4):227–232. https://doi.org/10.1038/nrc3483
Liu Y (2006) Fatty acid oxidation is a dominant bioenergetic pathway in prostate cancer. Prostate Cancer Prostatic Dis 9(3):230–234. https://doi.org/10.1038/sj.pcan.4500879
Mashima T, Seimiya H, Tsuruo T (2009) De novo fatty-acid synthesis and related pathways as molecular targets for cancer therapy. Br J Cancer 100(9):1369–1372. https://doi.org/10.1038/sj.bjc.6605007
Kuhajda FP (2006) Fatty acid synthase and cancer: new application of an old pathway. Cancer Res 66(12):5977–5980. https://doi.org/10.1158/0008-5472.CAN-05-4673
Baenke F, Peck B, Miess H, Schulze A (2013) Hooked on fat: the role of lipid synthesis in cancer metabolism and tumour development. Dis Model Mech 6(6):1353–1363. https://doi.org/10.1242/dmm.011338
Lue HW, Podolak J, Kolahi K, Cheng L, Rao S, Garg D, Xue CH, Rantala JK, Tyner JW, Thornburg KL, Martinez-Acevedo A, Liu JJ, Amling CL, Truillet C, Louie SM, Anderson KE, Evans MJ, O’Donnell VB, Nomura DK, Drake JM, Ritz A, Thomas GV (2017) Metabolic reprogramming ensures cancer cell survival despite oncogenic signaling blockade. Genes Dev 31(20):2067–2084. https://doi.org/10.1101/gad.305292.117
Pascual G, Avgustinova A, Mejetta S, Martin M, Castellanos A, Attolini CS, Berenguer A, Prats N, Toll A, Hueto JA, Bescos C, Di Croce L, Benitah SA (2017) Targeting metastasis-initiating cells through the fatty acid receptor CD36. Nature 541(7635):41–45. https://doi.org/10.1038/nature20791
Sun P, Xia S, Lal B, Shi X, Yang KS, Watkins PA, Laterra J (2014) Lipid metabolism enzyme ACSVL3 supports glioblastoma stem cell maintenance and tumorigenicity. BMC Cancer 14:401. https://doi.org/10.1186/1471-2407-14-401
Yasumoto Y, Miyazaki H, Vaidyan LK, Kagawa Y, Ebrahimi M, Yamamoto Y, Ogata M, Katsuyama Y, Sadahiro H, Suzuki M, Owada Y (2016) Inhibition of fatty acid synthase decreases expression of stemness markers in glioma stem cells. PLoS One 11(1):e0147717. https://doi.org/10.1371/journal.pone.0147717
Darekar SD, Mushtaq M, Gurrapu S, Kovalevska L, Drummond C, Petruchek M, Tirinato L, Di Fabrizio E, Carbone E, Kashuba E (2015) Mitochondrial ribosomal protein S18-2 evokes chromosomal instability and transforms primary rat skin fibroblasts. Oncotarget 6(25):21016–21028. https://doi.org/10.18632/oncotarget.4123
Mitra R, Chao O, Urasaki Y, Goodman OB, Le TT (2012) Detection of lipid-rich prostate circulating tumour cells with coherent anti-Stokes Raman scattering microscopy. BMC Cancer 12:540. https://doi.org/10.1186/1471-2407-12-540
Dill AL, Ifa DR, Manicke NE, Costa AB, Ramos-Vara JA, Knapp DW, Cooks RG (2009) Lipid profiles of canine invasive transitional cell carcinoma of the urinary bladder and adjacent normal tissue by desorption electrospray ionization imaging mass spectrometry. Anal Chem 81(21):8758–8764. https://doi.org/10.1021/ac901028b
Eberlin LS, Norton I, Dill AL, Golby AJ, Ligon KL, Santagata S, Cooks RG, Agar NY (2012) Classifying human brain tumors by lipid imaging with mass spectrometry. Cancer Res 72(3):645–654. https://doi.org/10.1158/0008-5472.CAN-11-2465
Hilvo M, Denkert C, Lehtinen L, Muller B, Brockmoller S, Seppanen-Laakso T, Budczies J, Bucher E, Yetukuri L, Castillo S, Berg E, Nygren H, Sysi-Aho M, Griffin JL, Fiehn O, Loibl S, Richter-Ehrenstein C, Radke C, Hyotylainen T, Kallioniemi O, Iljin K, Oresic M (2011) Novel theranostic opportunities offered by characterization of altered membrane lipid metabolism in breast cancer progression. Cancer Res 71(9):3236–3245. https://doi.org/10.1158/0008-5472.CAN-10-3894
Patterson AD, Maurhofer O, Beyoglu D, Lanz C, Krausz KW, Pabst T, Gonzalez FJ, Dufour JF, Idle JR (2011) Aberrant lipid metabolism in hepatocellular carcinoma revealed by plasma metabolomics and lipid profiling. Cancer Res 71(21):6590–6600. https://doi.org/10.1158/0008-5472.CAN-11-0885
Marien E, Meister M, Muley T, Fieuws S, Bordel S, Derua R, Spraggins J, Van de Plas R, Dehairs J, Wouters J, Bagadi M, Dienemann H, Thomas M, Schnabel PA, Caprioli RM, Waelkens E, Swinnen JV (2015) Non-small cell lung cancer is characterized by dramatic changes in phospholipid profiles. Int J Cancer 137(7):1539–1548. https://doi.org/10.1002/ijc.29517
Cifkova E, Holcapek M, Lisa M, Vrana D, Melichar B, Student V (2015) Lipidomic differentiation between human kidney tumors and surrounding normal tissues using HILIC-HPLC/ESI-MS and multivariate data analysis. J Chromatogr B Analyt Technol Biomed Life Sci 1000:14–21. https://doi.org/10.1016/j.jchromb.2015.07.011
Liu Y, Chen Y, Momin A, Shaner R, Wang E, Bowen NJ, Matyunina LV, Walker LD, McDonald JF, Sullards MC, Merrill AH Jr (2010) Elevation of sulfatides in ovarian cancer: an integrated transcriptomic and lipidomic analysis including tissue-imaging mass spectrometry. Mol Cancer 9:186. https://doi.org/10.1186/1476-4598-9-186
Li J, Ren S, Piao HL, Wang F, Yin P, Xu C, Lu X, Ye G, Shao Y, Yan M, Zhao X, Sun Y, Xu G (2016) Integration of lipidomics and transcriptomics unravels aberrant lipid metabolism and defines cholesteryl oleate as potential biomarker of prostate cancer. Sci Rep 6:20984. https://doi.org/10.1038/srep20984
Patterson NH, Alabdulkarim B, Lazaris A, Thomas A, Marcinkiewicz MM, Gao ZH, Vermeulen PB, Chaurand P, Metrakos P (2016) Assessment of pathological response to therapy using lipid mass spectrometry imaging. Sci Rep 6:36814. https://doi.org/10.1038/srep36814
Del Boccio P, Perrotti F, Rossi C, Cicalini I, Di Santo S, Zucchelli M, Sacchetta P, Genovesi D, Pieragostino D (2017) Serum lipidomic study reveals potential early biomarkers for predicting response to chemoradiation therapy in advanced rectal cancer: a pilot study. Adv Radiat Oncol 2(2):118–124. https://doi.org/10.1016/j.adro.2016.12.005
Ma S, Jiang B, Deng W, Gu ZK, Wu FZ, Li T, Xia Y, Yang H, Ye D, Xiong Y, Guan KL (2015) D-2-hydroxyglutarate is essential for maintaining oncogenic property of mutant IDH-containing cancer cells but dispensable for cell growth. Oncotarget 6(11):8606–8620. https://doi.org/10.18632/oncotarget.3330
Skotland T, Ekroos K, Kauhanen D, Simolin H, Seierstad T, Berge V, Sandvig K, Llorente A (2017) Molecular lipid species in urinary exosomes as potential prostate cancer biomarkers. Eur J Cancer 70:122–132. https://doi.org/10.1016/j.ejca.2016.10.011
Armitage EG, Southam AD (2016) Monitoring cancer prognosis, diagnosis and treatment efficacy using metabolomics and lipidomics. Metabolomics 12:146. https://doi.org/10.1007/s11306-016-1093-7
Chen X, Chen H, Dai M, Ai J, Li Y, Mahon B, Dai S, Deng Y (2016) Plasma lipidomics profiling identified lipid biomarkers in distinguishing early-stage breast cancer from benign lesions. Oncotarget 7(24):36622–36631. https://doi.org/10.18632/oncotarget.9124
Zhou X, Mao J, Ai J, Deng Y, Roth MR, Pound C, Henegar J, Welti R, Bigler SA (2012) Identification of plasma lipid biomarkers for prostate cancer by lipidomics and bioinformatics. PLoS One 7(11):e48889. https://doi.org/10.1371/journal.pone.0048889
Cajka T, Fiehn O (2014) Comprehensive analysis of lipids in biological systems by liquid chromatography-mass spectrometry. Trends Anal Chem 61:192–206. https://doi.org/10.1016/j.trac.2014.04.017
Chen Y, Singh S, Matsumoto A, Manna SK, Abdelmegeed MA, Golla S, Murphy RC, Dong H, Song BJ, Gonzalez FJ, Thompson DC, Vasiliou V (2016) Chronic glutathione depletion confers protection against alcohol-induced steatosis: implication for redox activation of amp-activated protein kinase pathway. Sci Rep 6:29743. https://doi.org/10.1038/srep29743
Fahy E, Subramaniam S, Brown HA, Glass CK, Merrill AH Jr, Murphy RC, Raetz CR, Russell DW, Seyama Y, Shaw W, Shimizu T, Spener F, van Meer G, VanNieuwenhze MS, White SH, Witztum JL, Dennis EA (2005) A comprehensive classification system for lipids. J Lipid Res 46(5):839–861. https://doi.org/10.1194/jlr.E400004-JLR200
Fahy E, Subramaniam S, Murphy RC, Nishijima M, Raetz CR, Shimizu T, Spener F, van Meer G, Wakelam MJ, Dennis EA (2009) Update of the LIPID MAPS comprehensive classification system for lipids. J Lipid Res 50(Suppl):S9–S14. https://doi.org/10.1194/jlr.R800095-JLR200
Kind T, Liu KH, Lee DY, DeFelice B, Meissen JK, Fiehn O (2013) LipidBlast in silico tandem mass spectrometry database for lipid identification. Nat Methods 10(8):755–758. https://doi.org/10.1038/nmeth.2551
Tautenhahn R, Cho K, Uritboonthai W, Zhu Z, Patti GJ, Siuzdak G (2012) An accelerated workflow for untargeted metabolomics using the METLIN database. Nat Biotechnol 30(9):826–828. https://doi.org/10.1038/nbt.2348
Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A (2018) HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res 46(D1):D608–D617. https://doi.org/10.1093/nar/gkx1089
Xia J, Wishart DS (2016) Using MetaboAnalyst 3.0 for comprehensive metabolomics data analysis. Curr Protoc Bioinformatics 55:14.10.11–14.10.91. https://doi.org/10.1002/cpbi.11
Bligh EG, Dyer WJ (1959) A rapid method of total lipid extraction and purification. Can J Biochem Physiol 37(8):911–917. https://doi.org/10.1139/o59-099
Schwudke D, Schuhmann K, Herzog R, Bornstein SR, Shevchenko A (2011) Shotgun lipidomics on high resolution mass spectrometers. Cold Spring Harb Perspect Biol 3(9):a004614. https://doi.org/10.1101/cshperspect.a004614
Hsu FF, Turk J (2009) Electrospray ionization with low-energy collisionally activated dissociation tandem mass spectrometry of glycerophospholipids: mechanisms of fragmentation and structural characterization. J Chromatogr B Analyt Technol Biomed Life Sci 877(26):2673–2695. https://doi.org/10.1016/j.jchromb.2009.02.033
Ferreira CR, Saraiva SA, Catharino RR, Garcia JS, Gozzo FC, Sanvido GB, Santos LF, Lo Turco EG, Pontes JH, Basso AC, Bertolla RP, Sartori R, Guardieiro MM, Perecin F, Meirelles FV, Sangalli JR, Eberlin MN (2010) Single embryo and oocyte lipid fingerprinting by mass spectrometry. J Lipid Res 51(5):1218–1227. https://doi.org/10.1194/jlr.D001768
Bowden JA, Shao F, Albert CJ, Lally JW, Brown RJ, Procknow JD, Stephenson AH, Ford DA (2011) Electrospray ionization tandem mass spectrometry of sodiated adducts of cholesteryl esters. Lipids 46(12):1169–1179. https://doi.org/10.1007/s11745-011-3609-2
Houjou T, Yamatani K, Nakanishi H, Imagawa M, Shimizu T, Taguchi R (2004) Rapid and selective identification of molecular species in phosphatidylcholine and sphingomyelin by conditional neutral loss scanning and MS3. Rapid Commun Mass Spectrom 18(24):3123–3130. https://doi.org/10.1002/rcm.1737
Sugiura Y, Konishi Y, Zaima N, Kajihara S, Nakanishi H, Taguchi R, Setou M (2009) Visualization of the cell-selective distribution of PUFA-containing phosphatidylcholines in mouse brain by imaging mass spectrometry. J Lipid Res 50(9):1776–1788. https://doi.org/10.1194/jlr.M900047-JLR200
Lemaire R, Wisztorski M, Desmons A, Tabet JC, Day R, Salzet M, Fournier I (2006) MALDI-MS direct tissue analysis of proteins: Improving signal sensitivity using organic treatments. Anal Chem 78(20):7145–7153. https://doi.org/10.1021/ac060565z
Schwartz SA, Reyzer ML, Caprioli RM (2003) Direct tissue analysis using matrix-assisted laser desorption/ionization mass spectrometry: practical aspects of sample preparation. J Mass Spectrom 38(7):699–708. https://doi.org/10.1002/jms.505
Dettmer K, Nurnberger N, Kaspar H, Gruber MA, Almstetter MF, Oefner PJ (2011) Metabolite extraction from adherently growing mammalian cells for metabolomics studies: optimization of harvesting and extraction protocols. Anal Bioanal Chem 399(3):1127–1139. https://doi.org/10.1007/s00216-010-4425-x
Thomas MC, Mitchell TW, Harman DG, Deeley JM, Murphy RC, Blanksby SJ (2007) Elucidation of double bond position in unsaturated lipids by ozone electrospray ionization mass spectrometry. Anal Chem 79(13):5013–5022. https://doi.org/10.1021/ac0702185
Groessl M, Graf S, Knochenmuss R (2015) High resolution ion mobility-mass spectrometry for separation and identification of isomeric lipids. Analyst 140(20):6904–6911. https://doi.org/10.1039/c5an00838g
Kyle JE, Zhang X, Weitz KK, Monroe ME, Ibrahim YM, Moore RJ, Cha J, Sun X, Lovelace ES, Wagoner J, Polyak SJ, Metz TO, Dey SK, Smith RD, Burnum-Johnson KE, Baker ES (2016) Uncovering biologically significant lipid isomers with liquid chromatography, ion mobility spectrometry and mass spectrometry. Analyst 141(5):1649–1659. https://doi.org/10.1039/c5an02062j
Williams PE, Klein DR, Greer SM, Brodbelt JS (2017) Pinpointing double bond and sn-positions in glycerophospholipids via hybrid 193 nm ultraviolet photodissociation (UVPD) mass spectrometry. J Am Chem Soc 139(44):15681–15690. https://doi.org/10.1021/jacs.7b06416
Castro-Perez J, Roddy TP, Nibbering NM, Shah V, McLaren DG, Previs S, Attygalle AB, Herath K, Chen Z, Wang SP, Mitnaul L, Hubbard BK, Vreeken RJ, Johns DG, Hankemeier T (2011) Localization of fatty acyl and double bond positions in phosphatidylcholines using a dual stage CID fragmentation coupled with ion mobility mass spectrometry. J Am Soc Mass Spectrom 22(9):1552–1567. https://doi.org/10.1007/s13361-011-0172-2
Hsu FF, Turk J (2010) Electrospray ionization multiple-stage linear ion-trap mass spectrometry for structural elucidation of triacylglycerols: assignment of fatty acyl groups on the glycerol backbone and location of double bonds. J Am Soc Mass Spectrom 21(4):657–669. https://doi.org/10.1016/j.jasms.2010.01.007
Acknowledgment
Authors would like to sincerely acknowledge the contribution of Mr. Kristopher W. Krausz in developing these methods and Dr. Frank J. Gonzalez (Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, Bethesda, USA) for his encouragement and support. This work was supported by Saha Institute of Nuclear Physics, Kolkata, India.
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Islam, S.R., Manna, S.K. (2019). Lipidomic Analysis of Cancer Cell and Tumor Tissues. In: Haznadar, M. (eds) Cancer Metabolism. Methods in Molecular Biology, vol 1928. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-9027-6_11
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