Cancer progression by reprogrammed BCAA metabolism in myeloid leukaemia
Open accessAbstract
Reprogrammed cellular metabolism is a common characteristic observed in various cancers. However, whether metabolic changes directly regulate cancer development and progression remains poorly understood. Here we show that BCAT1, a cytosolic aminotransferase for branched-chain amino acids (BCAAs), is aberrantly activated and functionally required for chronic myeloid leukaemia (CML) in humans and in mouse models of CML. BCAT1 is upregulated during progression of CML and promotes BCAA production in leukaemia cells by aminating the branched-chain keto acids. Blocking BCAT1 gene expression or enzymatic activity induces cellular differentiation and impairs the propagation of blast crisis CML both in vitro and in vivo. Stable-isotope tracer experiments combined with nuclear magnetic resonance-based metabolic analysis demonstrate the intracellular production of BCAAs by BCAT1. Direct supplementation with BCAAs ameliorates the defects caused by BCAT1 knockdown, indicating that BCAT1 exerts its oncogenic function through BCAA production in blast crisis CML cells. Importantly, BCAT1 expression not only is activated in human blast crisis CML and de novo acute myeloid leukaemia, but also predicts disease outcome in patients. As an upstream regulator of BCAT1 expression, we identified Musashi2 (MSI2), an oncogenic RNA binding protein that is required for blast crisis CML. MSI2 is physically associated with the BCAT1 transcript and positively regulates its protein expression in leukaemia. Taken together, this work reveals that altered BCAA metabolism activated through the MSI2-BCAT1 axis drives cancer progression in myeloid leukaemia.
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Tumors of other lineages, including some glioblastomas and blast crisis chronic myeloid leukemia, are also dependent on BCAA transaminases.
“Tumors of other lineages are also dependent on BCAA transaminases, including some glioblastomas and blast crisis chronic myeloid leukemia (Hattori et al., 2017; Tonjes et al., 2013).”
From Targeting Metabolism for Cancer Therapy (2017) · cites this paper as Hattori et al., 2017
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Cites
Daley, G. Q., Etten, R. A. V., & Baltimore, D. (1990) · Science · doi:10.1126/science.2406902 · Cited by 2,141 · see citing works
Targeting cancer metabolism: a therapeutic window opens
Heiden, M. G. V. (2011) · Nature Reviews Drug Discovery · doi:10.1038/nrd3504 · Cited by 1,409 · see citing works
Sestrin2 is a leucine sensor for the mTORC1 pathway
Wolfson, R. L., Chantranupong, L., Saxton, R. A., Shen, K., Scaria, S. M., Cantor, J. R., & Sabatini, D. M. (2016) · Science · doi:10.1126/science.aab2674 · Cited by 1,306 · see citing works
Sud, M., Fahy, E., Cotter, D., Azam, K., Vadivelu, I., Burant, C., Edison, A. S., Fiehn, O., Higashi, R. M., Nair, K. S., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1042 · Cited by 1,008 · see citing works
Self-citationAmino acid signalling upstream of mTOR
Jewell, J. L., Russell, R. C., & Guan, K.-L. (2013) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3522 · Cited by 894 · see citing works
Cellular Metabolism and Disease: What Do Metabolic Outliers Teach Us?
DeBerardinis, R. J., & Thompson, C. B. (2012) · Cell · doi:10.1016/j.cell.2012.02.032 · Cited by 858 · see citing works
Leucyl-tRNA Synthetase Is an Intracellular Leucine Sensor for the mTORC1-Signaling Pathway
Han, J. M., Jeong, S. J., Park, M. C., Kim, G., Kwon, N. H., Kim, H. K., Ha, S. H., Ryu, S. H., & Kim, S. (2012) · Cell · doi:10.1016/j.cell.2012.02.044 · Cited by 824 · see citing works
Regulation of mTORC1 by amino acids
Bar-Peled, L., & Sabatini, D. M. (2014) · Trends in Cell Biology · doi:10.1016/j.tcb.2014.03.003 · Cited by 773 · see citing works
Qin, F. X.-F., An, D. S., Chen, I. S. Y., & Baltimore, D. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.232688199 · Cited by 701 · see citing works
Gene expression changes associated with progression and response in chronic myeloid leukemia
Radich, J. P., Dai, H., Mao, M., Oehler, V., Schelter, J., Druker, B., Sawyers, C., Shah, N., Stock, W., Willman, C. L., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510423103 · Cited by 583 · see citing works
Tissue of origin dictates branched-chain amino acid metabolism in mutant <i>Kras</i> -driven cancers
Mayers, J. R., Torrence, M. E., Danai, L. V., Papagiannakopoulos, T., Davidson, S. M., Bauer, M. R., Lau, A. N., Ji, B. W., Dixit, P. D., Hosios, A. M., et al. (2016) · Science · doi:10.1126/science.aaf5171 · Cited by 582 · see citing works
Branched-Chain Amino Acids: Enzyme and Substrate Regulation
Brosnan, J. T., & Brosnan, M. E. (2006) · The Journal of Nutrition · doi:10.1093/jn/136.1.207s · Cited by 577 · see citing works
Segawa, H., Fukasawa, Y., Miyamoto, K., Takeda, E., Endou, H., & Kanai, Y. (1999) · Journal of Biological Chemistry · doi:10.1074/jbc.274.28.19745 · Cited by 499 · see citing works
BCAT1 promotes cell proliferation through amino acid catabolism in gliomas carrying wild-type IDH1
Tönjes, M., Barbus, S., Park, Y. J., Wang, W., Schlotter, M., Lindroth, A. M., Pleier, S. V., Bai, A. H. C., Karra, D., Piro, R. M., et al. (2013) · Nature Medicine · doi:10.1038/nm.3217 · Cited by 486 · see citing works
Imai, T., Tokunaga, A., Yoshida, T., Hashimoto, M., Mikoshiba, K., Weinmaster, G., Nakafuku, M., & Okano, H. (2001) · Molecular and Cellular Biology · doi:10.1128/mcb.21.12.3888-3900.2001 · Cited by 454 · see citing works
Musashi-2 regulates normal hematopoiesis and promotes aggressive myeloid leukemia
Kharas, M., Lengner, C., Al-Shahrour, F., Bullinger, L., Ball, B., Zaidi, S., Morgan, K. J., Tam, W. F., Paktinat, M., Okabe, R., et al. (2010) · Nature Medicine · doi:10.1038/nm.2187 · Cited by 417 · see citing works
Regulation of myeloid leukaemia by the cell-fate determinant Musashi
Ito, T., Kwon, H. Y., Zimdahl, B., Congdon, K. L., Blum, J. M., Lento, W. E., Zhao, C., Lagoo, A. S., Gerrard, G., Foroni, L., et al. (2010) · Nature · doi:10.1038/nature09171 · Cited by 357 · see citing works
Self-citationMusashi: a translational regulator of cell fate
Okano, H., Imai, T., & Okabe, M. (2002) · Journal of Cell Science · doi:10.1242/jcs.115.7.1355 · Cited by 345 · see citing works
The Role of Apoptosis in the Regulation of Hematopoietic Stem Cells
Domen, J., Cheshier, S. H., & Weissman, I. L. (2000) · The Journal of Experimental Medicine · doi:10.1084/jem.191.2.253 · Cited by 332 · see citing works
Branched-Chain Amino Acid Metabolism: Implications for Establishing Safe Intakes
Hutson, S. M., Sweatt, A. J., & LaNoue, K. F. (2005) · Journal of Nutrition · doi:10.1093/jn/135.6.1557s · Cited by 262 · see citing works
A murine model of CML blast crisis induced by cooperation between BCR/ABL and NUP98/HOXA9
Dash, A. B., Williams, I. R., Kutok, J. L., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.102583199 · Cited by 211 · see citing works
Role of Branched‐Chain Aminotransferase Isoenzymes and Gabapentin in Neurotransmitter Metabolism
Hutson, S. M., Berkich, D., Drown, P., Xu, B., Aschner, M., & LaNoue, K. F. (1998) · Journal of Neurochemistry · doi:10.1046/j.1471-4159.1998.71020863.x · Cited by 171 · see citing works
Leukemia stem cells in a genetically defined murine model of blast-crisis CML.
Neering, S., Bushnell, T., Sozer, S., Ashton, J., Rossi, R. M., Wang, P.-Y., Bell, D. R., Heinrich, D., Bottaro, A., & Jordan, C. (2007) · Blood · doi:10.1182/blood-2007-02-073031 · Cited by 152 · see citing works
Musashi1 regulates breast tumor cell proliferation and is a prognostic indicator of poor survival
Wang, X., Penalva, L. O. F., Yuan, H., Linnoila, R. I., Lü, J., Okano, H., & Glazer, R. I. (2010) · Molecular Cancer · doi:10.1186/1476-4598-9-221 · Cited by 135 · see citing works
Musashi-2 attenuates AHR signalling to expand human haematopoietic stem cells
Rentas, S., Holzapfel, N. T., Belew, M. S., Pratt, G. A., Voisin, V., Wilhelm, B. T., Bader, G. D., Yeo, G. W.-M., & Hope, K. J. (2016) · Nature · doi:10.1038/nature17665 · Cited by 134 · see citing works
The Msi Family of RNA-Binding Proteins Function Redundantly as Intestinal Oncoproteins
Li, N., Yousefi, M., Nakauka‐Ddamba, A., Li, F., Vandivier, L. E., Parada, K., Woo, D., Wang, S., Naqvi, A. S., Rao, S. J., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.11.022 · Cited by 105 · see citing works
Muto, J., Imai, T., Ogawa, D., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033431 · Cited by 86 · see citing works
Lagadec, C. H., Vlashi, E., Frohnen, P., et al. (2013) · Stem Cells · doi:10.1002/stem.1537 · Cited by 79 · see citing works
Morimoto, E., Kanai, Y., Kim, D. K., Chairoungdua, A., Choi, H. W., Wempe, M. F., Anzai, N., & Endou, H. (2008) · Journal of Pharmacological Sciences · doi:10.1254/jphs.08232fp · Cited by 77 · see citing works
Ashton, J. M., Balys, M. M., Neering, S. J., Hassane, D. C., Cowley, G. S., Root, D. E., Miller, P. G., Ebert, B. L., McMurray, H. R., Land, H., et al. (2012) · Cell stem cell · doi:10.1016/j.stem.2012.05.024 · Cited by 68 · see citing works
Pailla, K., Blondé-Cynober, F., Aussel, C., Bandt, J. P. D., & Cynober, L. (2000) · Clinical Chemistry · doi:10.1093/clinchem/46.6.848 · Cited by 60 · see citing works
Mayotte, N., Roy, D., Yao, J., KROON, E. J., & Sauvageau, G. (2002) · Blood · doi:10.1182/blood-2002-04-1244 · Cited by 58 · see citing works
ECA39 is a novel distant metastasis-related biomarker in colorectal cancer
Yoshikawa, R. (2006) · World Journal of Gastroenterology · doi:10.3748/wjg.v12.i36.5884 · Cited by 54 · see citing works
Cragle, C. E., & MacNicol, A. M. (2014) · Journal of Biological Chemistry · doi:10.1074/jbc.m114.548271 · Cited by 50 · see citing works
Song, Y., Funatsu, T., & Tsunoda, M. (2010) · Journal of Chromatography B · doi:10.1016/j.jchromb.2010.12.018 · Cited by 39 · see citing works
Self-citationThe Musashi Family of RNA Binding Proteins: Master Regulators of Multiple Stem Cell Populations
Sutherland, J. M., McLaughlin, E. A., Hime, G. R., et al. (2013) · Advances in experimental medicine and biology · doi:10.1007/978-94-007-6621-1_13 · Cited by 36 · see citing works
Rapid determination of amino acids in biological samples using a monolithic silica column
Song, Y., Funatsu, T., & Tsunoda, M. (2011) · Amino Acids · doi:10.1007/s00726-011-0914-2 · Cited by 30 · see citing works
Self-citation
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mTOR signalling and cellular metabolism are mutual determinants in cancer
Mossmann, D., Park, S., & Hall, M. N. (2018) · Nature reviews. Cancer · doi:10.1038/s41568-018-0074-8 · Cited by 1,088 · see citing works
Targeting Metabolism for Cancer Therapy
Luengo, A., Gui, D. Y., & Vander Heiden, M. G. (2017) · Cell Chemical Biology · doi:10.1016/j.chembiol.2017.08.028 · Cited by 971 · see citing works
Inhibition of Amino Acid Metabolism Selectively Targets Human Leukemia Stem Cells
Jones, C. L., Stevens, B. M., D'Alessandro, A., Reisz, J. A., Culp-Hill, R., Nemkov, T., Pei, S., Khan, N., Adane, B., Ye, H., et al. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.10.005 · Cited by 585 · see citing works
Regulation of cancer cell metabolism: Oncogenic MYC in the driver’s seat
Dong, Y., Tu, R., Liu, H., & Qing, G. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-00235-2 · Cited by 405 · see citing works
BCAT1 restricts αKG levels in AML stem cells leading to IDHmut-like DNA hypermethylation
Raffel, S., Falcone, M., Kneisel, N., Hansson, J., Wang, W., Lutz, C., Bullinger, L., Poschet, G., Nonnenmacher, Y., Barnert, A., et al. (2017) · Nature · doi:10.1038/nature24294 · Cited by 354 · see citing works
Alves, R., Gonçalves, A. C., Rutella, S., Almeida, A. M., De Las Rivas, J., Trougakos, I. P., & Sarmento Ribeiro, A. B. (2021) · Cancers · doi:10.3390/cancers13194820 · Cited by 204 · see citing works
Loss of EZH2 Reprograms BCAA Metabolism to Drive Leukemic Transformation
Gu, Z., Liu, Y., Cai, F., Patrick, M., Zmajkovic, J., Cao, H., Zhang, Y., Tasdogan, A., Chen, M., Qi, L., et al. (2019) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-0152 · Cited by 173 · see citing works
Acetylation promotes BCAT2 degradation to suppress BCAA catabolism and pancreatic cancer growth
Lei, M.-Z., Li, X.-X., Zhang, Y., Li, J.-T., Zhang, F., Wang, Y.-P., Yin, M., Qu, J., & Lei, Q.-Y. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-0168-0 · Cited by 129 · see citing works
Amino acid metabolism, redox balance and epigenetic regulation in cancer
Li, X., & Zhang, H. (2024) · The FEBS Journal · doi:10.1111/febs.16803 · Cited by 90 · see citing works
Metabolic regulation of somatic stem cells in vivo
Meacham, C. E., DeVilbiss, A. W., & Morrison, S. J. (2022) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-022-00462-1 · Cited by 85 · see citing works
Continuous in vivo Metabolism by NMR
Judge, M. T., Wu, Y., Tayyari, F., Hattori, A., Glushka, J., Ito, T., Arnold, J., & Edison, A. S. (2019) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2019.00026 · Cited by 53 · see citing works
Self-citation
- Authors
- Hattori, A., Tsunoda, M., Konuma, T., Kobayashi, M., Nagy, T., Glushka, J., Tayyari, F., McSkimming, D., Kannan, N., Tojo, A., Edison, A. S., & Ito, T.
- Affiliations
- University of Georgia (US)
- The University of Tokyo (JP)
- Institute of Medical Science, The University of Tokyo (JP)
- Corresponding author
- Ito, Takahiro
- ORCID
- Venue
- Nature
- Published
- 2017-05
- Volume
- 545
- Issue
- 7655
- Pages
- 500-504
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC5554449
- OpenAlex
- W2615073964
- Cited by
- 401
- References
- 37
- Citations by year
- 2026: 31 · 2025: 42 · 2024: 45 · 2023: 52 · 2022: 60 · 2021: 54 · 2020: 46 · 2019: 33 · 2018: 28 · 2017: 8
- FWCI
- 24.15
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Japan Society for the Promotion of Science (17K08234, 16K19570, 16J02129, 16H06277)
- National Institute of General Medical Sciences (R01GM114409, P41GM103390)
- National Institute of Diabetes and Digestive and Kidney Diseases (U24DK097209)
- Topics
- Health Sciences › Medicine › Hematology › Chronic Myeloid Leukemia Treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Amino Acid Enzymes and Metabolism
- Keywords
- BCAT1, branched-chain amino acids, branched-chain amino acid metabolism, chronic myeloid leukemia, blast crisis, Musashi-2, RNA-binding proteins, cancer metabolism, leukemia progression, prognostic factors, acute myeloid leukemia
- MeSH terms
- Amino Acids, Branched-Chain, Transaminases, Animals, Blast Crisis, Cell Differentiation, Enzyme Activation, Female, Humans, Male, Mice, Inbred C57BL, Leukemia, Myelogenous, Chronic, BCR-ABL Positive, RNA-Binding Proteins, Disease Progression, Cell Proliferation, Mice
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