NADK-mediated de novo NADP(H) synthesis is a metabolic adaptation essential for breast cancer metastasis
Tài liệu tham khảo
Valastyan, 2011, Tumor metastasis: molecular insights and evolving paradigms, Cell, 147, 275, 10.1016/j.cell.2011.09.024
Chiang, 2008, Molecular basis of metastasis, N. Engl. J. Med., 359, 2814, 10.1056/NEJMra0805239
Gupta, 2006, Cancer metastasis: building a framework, Cell, 127, 679, 10.1016/j.cell.2006.11.001
Vander Heiden, 2009, Understanding the Warburg effect: the metabolic requirements of cell proliferation, Science, 324, 1029, 10.1126/science.1160809
Pavlova, 2016, The emerging hallmarks of cancer metabolism, Cell Metabol., 23, 27, 10.1016/j.cmet.2015.12.006
Zhu, 2011, Metabolic positron emission tomography imaging in cancer detection and therapy response, Semin. Oncol., 38, 55, 10.1053/j.seminoncol.2010.11.012
Hanahan, 2011, Hallmarks of cancer: the next generation, Cell, 144, 646, 10.1016/j.cell.2011.02.013
Dong, 2013, Loss of FBP1 by Snail-mediated repression provides metabolic advantages in basal-like breast cancer, Cancer Cell, 23, 316, 10.1016/j.ccr.2013.01.022
Piskounova, 2015, Oxidative stress inhibits distant metastasis by human melanoma cells, Nature, 527, 186, 10.1038/nature15726
Shaul, 2014, Dihydropyrimidine accumulation is required for the epithelial-mesenchymal transition, Cell, 158, 1094, 10.1016/j.cell.2014.07.032
Drapela, 2021, Metabolic requirements of the metastatic cascade, Curr. Opin. Struct. Biol., 28
Bergers, 2021, The metabolism of cancer cells during metastasis, Nat. Rev. Cancer, 21, 162, 10.1038/s41568-020-00320-2
Broadfield, 2021, Lipid metabolism in cancer: new perspectives and emerging mechanisms, Dev. Cell, 56, 1363, 10.1016/j.devcel.2021.04.013
Gill, 2016, Cancer, oxidative stress, and metastasis, Cold Spring Harbor Symp. Quant. Biol., 81, 163, 10.1101/sqb.2016.81.030791
Tasdogan, 2021, Redox regulation in cancer cells during metastasis, Cancer Discov., 11, 2682, 10.1158/2159-8290.CD-21-0558
Martin-Perez, 2021, Lipid metabolism in metastasis and therapy, Curr. Opin. Struct. Biol., 28
Ubellacker, 2020, Lymph protects metastasizing melanoma cells from ferroptosis, Nature, 585, 113, 10.1038/s41586-020-2623-z
Pascual, 2017, Targeting metastasis-initiating cells through the fatty acid receptor CD36, Nature, 541, 41, 10.1038/nature20791
Antalis, 2011, Migration of MDA-MB-231 breast cancer cells depends on the availability of exogenous lipids and cholesterol esterification, Clin. Exp. Metastasis, 28, 733, 10.1007/s10585-011-9405-9
Nath, 2016, Genetic alterations in fatty acid transport and metabolism genes are associated with metastatic progression and poor prognosis of human cancers, Sci. Rep., 6, 10.1038/srep18669
Ju, 2020, NADPH homeostasis in cancer: functions, mechanisms and therapeutic implications, Signal Transduct. Targeted Ther., 5, 231, 10.1038/s41392-020-00326-0
Cracan, 2017, A genetically encoded tool for manipulation of NADP(+)/NADPH in living cells, Nat. Chem. Biol., 13, 1088, 10.1038/nchembio.2454
Elia, 2017, Proline metabolism supports metastasis formation and could be inhibited to selectively target metastasizing cancer cells, Nat. Commun., 8, 10.1038/ncomms15267
Aslakson, 1992, Selective events in the metastatic process defined by analysis of the sequential dissemination of subpopulations of a mouse mammary tumor, Cancer Res., 52, 1399
Schild, 2021, NADK is activated by oncogenic signaling to sustain pancreatic ductal adenocarcinoma, Cell Rep., 35, 10.1016/j.celrep.2021.109238
Minn, 2005, Genes that mediate breast cancer metastasis to lung, Nature, 436, 518, 10.1038/nature03799
Yeung, 2017, Epithelial-mesenchymal transition in tumor metastasis, Mol. Oncol., 11, 28, 10.1002/1878-0261.12017
Tsai, 2013, Epithelial-mesenchymal plasticity in carcinoma metastasis, Genes Dev., 27, 2192, 10.1101/gad.225334.113
Massague, 2017, Understanding the molecular mechanisms driving metastasis, Mol. Oncol., 11, 3, 10.1002/1878-0261.12024
Sciacovelli, 2017, Metabolic reprogramming and epithelial-to-mesenchymal transition in cancer, FEBS J., 284, 3132, 10.1111/febs.14090
Sun, 2020, Metabolic reprogramming and epithelial-mesenchymal plasticity: opportunities and challenges for cancer therapy, Front. Oncol., 10, 792, 10.3389/fonc.2020.00792
Xu, 2018, Epithelial-mesenchymal transition induced PAI-1 is associated with prognosis of triple-negative breast cancer patients, Gene, 670, 7, 10.1016/j.gene.2018.05.089
Padua, 2009, Roles of TGFbeta in metastasis, Cell Res., 19, 89, 10.1038/cr.2008.316
Perkins, 2015, Peroxiredoxins: guardians against oxidative stress and modulators of peroxide signaling, Trends Biochem. Sci., 40, 435, 10.1016/j.tibs.2015.05.001
Hoxhaj, 2019, Direct stimulation of NADP(+) synthesis through Akt-mediated phosphorylation of NAD kinase, Science, 363, 1088, 10.1126/science.aau3903
Schrors, 2020, Multi-omics characterization of the 4T1 murine mammary gland tumor model, Front. Oncol., 10, 1195, 10.3389/fonc.2020.01195
Gomes, 2019, Dynamic incorporation of histone H3 variants into chromatin is essential for acquisition of aggressive traits and metastatic colonization, Cancer Cell, 36, 402, 10.1016/j.ccell.2019.08.006
Ray-Gallet, 2011, Dynamics of histone H3 deposition in vivo reveal a nucleosome gap-filling mechanism for H3.3 to maintain chromatin integrity, Mol. Cell., 44, 928, 10.1016/j.molcel.2011.12.006
Szenker, 2011, The double face of the histone variant H3.3, Cell Res., 21, 421, 10.1038/cr.2011.14
Lu, 2018, Extraction and quantitation of nicotinamide adenine dinucleotide redox cofactors, Antioxidants Redox Signal., 28, 167, 10.1089/ars.2017.7014
Su, 2017, Metabolite spectral accuracy on orbitraps, Anal. Chem., 89, 5940, 10.1021/acs.analchem.7b00396
Yuan, 2012, A positive/negative ion-switching, targeted mass spectrometry-based metabolomics platform for bodily fluids, cells, and fresh and fixed tissue, Nat. Protoc., 7, 872, 10.1038/nprot.2012.024
Cox, 2009, Mitochondrial peroxiredoxin 3 is more resilient to hyperoxidation than cytoplasmic peroxiredoxins, Biochem. J., 421, 51, 10.1042/BJ20090242
Freese, 2016, Integrated genome browser: visual analytics platform for genomics, Bioinformatics, 32, 2089, 10.1093/bioinformatics/btw069