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Glutamine Sensitivity Analysis Identifies the xCT Antiporter as a Common Triple-Negative Breast Tumor Therapeutic Target
Open accessAbstract
A handful of tumor-derived cell lines form the mainstay of cancer therapeutic development, yielding drugs with an impact typically measured as months to disease progression. To develop more effective breast cancer therapeutics and more readily understand their clinical impact, we constructed a functional metabolic portrait of 46 independently derived breast cell lines. Our analysis of glutamine uptake and dependence identified a subset of triple-negative samples that are glutamine auxotrophs. Ambient glutamine indirectly supports environmental cystine acquisition via the xCT antiporter, which is expressed on one-third of triple-negative tumors in vivo. xCT inhibition with the clinically approved anti-inflammatory sulfasalazine decreases tumor growth, revealing a therapeutic target in breast tumors of poorest prognosis and a lead compound for rapid, effective drug development.
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“implying that xc− may constitute a therapeutic target in this setting [553, 554].”
From Molecular mechanisms of cell death: recommendations of the nomenclature committee on cell death 2018. (2018) · cites this paper as [553]
In the citing paper
“the pronounced addiction of triple-negative breast carcinoma to glutamine relates (at least in part) to its ability to drive cystine uptake via xc−, implying that xc− may constitute a therapeutic target in this setting [553, 554].”
From Molecular mechanisms of cell death: recommendations of the nomenclature committee on cell death 2018. (2018) · cites this paper as [553]
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“Consistent with this observation, glutamine starvation has been associated with impaired uptake of cystine through xCT and decreased intracellular glutathione levels62.”
From Glutamine reliance in cell metabolism (2020) · cites this paper as [62]
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Citations
Cites
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
A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes
Neve, R. M., Chin, K., Fridlyand, J., Yeh, J., Baehner, F. L., Fevr, T., Clark, L., Bayani, N., Coppé, J., Tong, F. K., et al. (2006) · Cancer Cell · doi:10.1016/j.ccr.2006.10.008 · Cited by 3,224
Self-citationFatty 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
Phenotypic and molecular characterization of the claudin-low intrinsic subtype of breast cancer
Prat, A., Parker, J. S., Karginova, O. A., Fan, C., Livasy, C., Herschkowitz, J. I., He, X., & Perou, C. M. (2010) · Breast Cancer Research · doi:10.1186/bcr2635 · Cited by 2,290
Gao, P., Tchernyshyov, I., Chang, T.-C., Lee, Y.-S., Kita, K., Ochi, T., Zeller, K. I., De Marzo, A. M., Van Eyk, J. E., Mendell, J. T., et al. (2009) · Nature · doi:10.1038/nature07823 · Cited by 2,124
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
Bidirectional Transport of Amino Acids Regulates mTOR and Autophagy
Nicklin, P., Bergman, P., Zhang, B., Triantafellow, E., Wang, H., Nyfeler, B., Yang, H., Hild, M., Kung, C., Wilson, C., et al. (2009) · Cell · doi:10.1016/j.cell.2008.11.044 · Cited by 1,798
Glutamine addiction: a new therapeutic target in cancer
Wise, D. R., & Thompson, C. B. (2010) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2010.05.003 · Cited by 1,770
Flagged first, then by citations
Cited by
Sorted by citations
Galluzzi, L., Vitale, I., Aaronson, S. A., Abrams, J. M., Adam, D., Agostinis, P., Alnemri, E. S., Altucci, L., Amelio, I., Andrews, D. W., et al. (2018) · Cell Death & Differentiation · doi:10.1038/s41418-017-0012-4 · Cited by 6,680
ACSL4 dictates ferroptosis sensitivity by shaping cellular lipid composition
Doll, S., Proneth, B., Tyurina, Y. Y., Panzilius, E., Kobayashi, S., Ingold, I., Irmler, M., Beckers, J., Aichler, M., Walch, A., et al. (2017) · Nature Chemical Biology · doi:10.1038/nchembio.2239 · Cited by 4,293
Cystine transporter SLC7A11/xCT in cancer: ferroptosis, nutrient dependency, and cancer therapy
Koppula, P., Zhuang, L., & Gan, B. (2020) · Protein & Cell · doi:10.1007/s13238-020-00789-5 · Cited by 2,640
From Krebs to clinic: glutamine metabolism to cancer therapy
Altman, B. J., Stine, Z. E., & Dang, C. V. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.71 · Cited by 2,119
Dixon, S. J., Patel, D. N., Welsch, M., Skouta, R., Lee, E. D., Hayano, M., Thomas, A. G., Gleason, C. E., Tatonetti, N. P., Slusher, B. S., et al. (2014) · eLife · doi:10.7554/elife.02523 · Cited by 2,088
The Metabolic Underpinnings of Ferroptosis
Zheng, J., & Conrad, M. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.10.011 · Cited by 1,368
Ferroptosis at the crossroads of cancer-acquired drug resistance and immune evasion
Angeli, J. P. F., Krysko, D. V., & Conrad, M. (2019) · Nature reviews. Cancer · doi:10.1038/s41568-019-0149-1 · Cited by 1,275
Antitumor activity of the glutaminase inhibitor CB-839 in triple-negative breast cancer
Gross, M. I., Demo, S. D., Dennison, J. B., Chen, L., Chernov-Rogan, T., Goyal, B., Janes, J. R., Laidig, G. J., Lewis, E. R., Li, J., et al. (2014) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-13-0870 · Cited by 1,068
Glutamine reliance in cell metabolism
Yoo, H. C., Yu, Y. C., Sung, Y., & Han, J. M. (2020) · Experimental & Molecular Medicine · doi:10.1038/s12276-020-00504-8 · Cited by 1,021
The development of the concept of ferroptosis
Hirschhorn, T., & Stockwell, B. R. (2019) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2018.09.043 · Cited by 1,052
Koppula, P., Zhang, Y., Zhuang, L., & Gan, B. (2018) · 癌症:英文版 · doi:10.1186/s40880-018-0288-x · Cited by 952
SLC Transporters as Therapeutic Targets: Emerging Opportunities
Lin, L., Yee, S. W., Kim, R. B., & Giacomini, K. M. (2015) · Nature Reviews Drug Discovery · doi:10.1038/nrd4626 · Cited by 835
Lieu, E. L., Nguyen, T. A., Rhyne, S., & Kim, J. (2020) · Experimental & Molecular Medicine · doi:10.1038/s12276-020-0375-3 · Cited by 847
Glutamine Metabolism in Cancer: Understanding the Heterogeneity
Cluntun, A. A., Lukey, M. J., Cerione, R. A., & Locasale, J. W. (2017) · Trends in Cancer · doi:10.1016/j.trecan.2017.01.005 · Cited by 796
Opportunities and challenges of radiotherapy for treating cancer
Schaue, D., & McBride, W. H. (2015) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2015.120 · Cited by 784
Lipid metabolism in cancer: New perspectives and emerging mechanisms
Broadfield, L. A., Pane, A. A., Talebi, A., Swinnen, J. V., & Fendt, S. (2021) · Developmental Cell · doi:10.1016/j.devcel.2021.04.013 · Cited by 793
Metabolic Reprogramming: the Emerging Concept and Associated Therapeutic Strategies
Yoshida, G. J. (2015) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-015-0221-y · Cited by 716
Cancer cell metabolism: the essential role of the nonessential amino acid, glutamine
Zhang, J., Pavlova, N. N., & Thompson, C. B. (2017) · The EMBO Journal · doi:10.15252/embj.201696151 · Cited by 651
Characterization of ferroptosis in murine models of hemochromatosis
Wang, H., An, P., Xie, E., Wu, Q., Fang, X., Gao, H., Zhang, Z., Li, Y., Wang, X., Zhang, J., et al. (2017) · Hepatology · doi:10.1002/hep.29117 · Cited by 662
Amino Assets: How Amino Acids Support Immunity
Kelly, B. L., & Pearce, E. L. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.06.010 · Cited by 666
Regulated necrosis: disease relevance and therapeutic opportunities
Conrad, M., Angeli, J. P. F., Vandenabeele, P., & Stockwell, B. R. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2015.6 · Cited by 630
Mechanisms and Implications of Metabolic Heterogeneity in Cancer
Kim, J., & DeBerardinis, R. J. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.08.013 · Cited by 606
Targeting ferroptosis opens new avenues for the development of novel therapeutics
Sun, S., Shen, J., Jiang, J., Wang, F., & Min, J. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01606-1 · Cited by 674
Dixon, S. J., & Stockwell, B. R. (2018) · Annual Review of Cancer Biology · doi:10.1146/annurev-cancerbio-030518-055844 · Cited by 607
ASCT2/SLC1A5 controls glutamine uptake and tumour growth in triple-negative basal-like breast cancer
van Geldermalsen, M., Wang, Q., Nagarajah, R., Marshall, A. D., Thoeng, A., Gao, D., Ritchie, W., Feng, Y., Bailey, C. G., Deng, N., et al. (2015) · Oncogene · doi:10.1038/onc.2015.381 · Cited by 581
Amino acid metabolism in health and disease
Ling, Z., Jiang, Y.-F., Ru, J.-N., Lu, J.-H., Ding, B., & Wu, J. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01569-3 · Cited by 590
Targeting glutamine metabolism as a therapeutic strategy for cancer
Jin, J., Byun, J., Choi, Y., & Park, K. (2023) · Experimental & Molecular Medicine · doi:10.1038/s12276-023-00971-9 · Cited by 605
Cancer Metabolism: Phenotype, Signaling and Therapeutic Targets
Park, J. H., Pyun, W. Y., & Park, H. W. (2020) · Cells · doi:10.3390/cells9102308 · Cited by 571
Cramer, S. L., Saha, A., Liu, J., Tadi, S., Tiziani, S., Yan, W., Triplett, K., Lamb, C., Alters, S. E., Rowlinson, S. W., et al. (2016) · Nature Medicine · doi:10.1038/nm.4232 · Cited by 549
Targeting antioxidants for cancer therapy
Glasauer, A., & Chandel, N. S. (2014) · Biochemical Pharmacology · doi:10.1016/j.bcp.2014.07.017 · Cited by 516
New aspects of amino acid metabolism in cancer
Vettore, L. A., Westbrook, R. L., & Tennant, D. A. (2019) · British Journal of Cancer · doi:10.1038/s41416-019-0620-5 · Cited by 508
Wang, T., Gilkes, D. M., Takano, N., Xiang, L., Luo, W., Bishop, C. J., Chaturvedi, P., Green, J. J., & Semenza, G. L. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1410041111 · Cited by 493
Bhutia, Y. D., Babu, E., Ramachandran, S., & Ganapathy, V. (2015) · Cancer Research · doi:10.1158/0008-5472.can-14-3745 · Cited by 483
Gong, Y., Ji, P., Yang, Y., Xie, S., Yu, T., Xiao, Y., Jin, M., Ma, D., Guo, L., Pei, Y., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.10.012 · Cited by 486
A Dual Role of Heme Oxygenase-1 in Cancer Cells
Chiang, S.-K., Chen, S., & Chang, L. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms20010039 · Cited by 477
Asparagine Plays a Critical Role in Regulating Cellular Adaptation to Glutamine Depletion
Zhang, J., Fan, J., Venneti, S., Cross, J. R., Takagi, T., Bhinder, B., Djaballah, H., Kanai, M., Cheng, E. H., Judkins, A. R., et al. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.08.018 · Cited by 439
Functional Genomic Landscape of Human Breast Cancer Drivers, Vulnerabilities, and Resistance
Marcotte, R., Sayad, A., Brown, K. R., Sanchez-Garcia, F., Reimand, J., Haider, M., Virtanen, C., Bradner, J. E., Bader, G. D., Mills, G. B., et al. (2016) · Cell · doi:10.1016/j.cell.2015.11.062 · Cited by 446
Li, F., Long, H., Zhou, Z.-W., Luo, H., Xu, S., & Gao, L. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.910292 · Cited by 476
ATF4 promotes angiogenesis and neuronal cell death and confers ferroptosis in a xCT-dependent manner
Chen, D., Fan, Z., Rauh, M., Buchfelder, M., Eyupoglu, I. Y., & Savaskan, N. (2017) · Oncogene · doi:10.1038/onc.2017.146 · Cited by 421
Hu, K., Li, K., Lv, J., Feng, J., Chen, J., Wu, H., Cheng, F., Jiang, W., Wang, J., Pei, H., et al. (2019) · Journal of Clinical Investigation · doi:10.1172/jci124049 · Cited by 409
Induction of ferroptotic cell death for overcoming cisplatin resistance of head and neck cancer
Roh, J., Kim, E. H., Jang, H. J., Park, J. Y., & Shin, D. (2016) · Cancer Letters · doi:10.1016/j.canlet.2016.07.035 · Cited by 383
Non-canonical Glutamate-Cysteine Ligase Activity Protects against Ferroptosis
Kang, Y. P., Mockabee‐Macias, A., Jiang, C., Falzone, A., Prieto-Farigua, N., Stone, E. M., Harris, I. S., & DeNicola, G. M. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.12.007 · Cited by 358
xCT (SLC7A11)-mediated metabolic reprogramming promotes non-small cell lung cancer progression
Ji, X., Qian, J., Rahman, S. M. J., Siska, P. J., Zou, Y., Harris, B. K., Hoeksema, M. D., Trenary, I. A., Chen, H., Eisenberg, R., et al. (2018) · Oncogene · doi:10.1038/s41388-018-0307-z · Cited by 360
xCT: A Critical Molecule That Links Cancer Metabolism to Redox Signaling
Liu, J., Xia, X., & Huang, P. (2020) · Molecular Therapy · doi:10.1016/j.ymthe.2020.08.021 · Cited by 357
Targeted exosome‐encapsulated erastin induced ferroptosis in triple negative breast cancer cells
Yu, M., Gai, C., Li, Z., Ding, D., Zheng, J., Zhang, W.-F., Lv, S.-J., & Li, W.-T. (2019) · Cancer Science · doi:10.1111/cas.14181 · Cited by 316
Glutamine transporters in mammalian cells and their functions in physiology and cancer
Bhutia, Y. D., & Ganapathy, V. (2015) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2015.12.017 · Cited by 326
Review: Synovial Cell Metabolism and Chronic Inflammation in Rheumatoid Arthritis
Falconer, J., Murphy, A. N., Young, S. P., Clark, A. R., Tiziani, S., Gumá, M., & Buckley, C. D. (2018) · Arthritis & Rheumatology · doi:10.1002/art.40504 · Cited by 324
Muir, A., Danai, L. V., Gui, D. Y., Waingarten, C. Y., Lewis, C. A., & Vander Heiden, M. G. (2017) · eLife · doi:10.7554/elife.27713 · Cited by 311
Lim, J. K. M., Delaidelli, A., Minaker, S. W., Zhang, H., Čolović, M., Yang, H., Negri, G. L., von Karstedt, S., Lockwood, W. W., Schaffer, P. C., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1821323116 · Cited by 321
Disulfidptosis: disulfide stress–induced cell death
Liu, X., Zhuang, L., & Gan, B. (2023) · Trends in Cell Biology · doi:10.1016/j.tcb.2023.07.009 · Cited by 325
Shin, C.-S., Mishra, P., Watrous, J. D., Carelli, V., D’Aurelio, M., Jain, M., & Chan, D. C. (2017) · Nature Communications · doi:10.1038/ncomms15074 · Cited by 307
Self-citationTargeting amino acid metabolism for cancer therapy
Lukey, M. J., Katt, W. P., & Cerione, R. A. (2017) · Drug Discovery Today · doi:10.1016/j.drudis.2016.12.003 · Cited by 293
Meng-Shian, C., Wang, S., Hsu, C., Yin, P., Yeh, T.-S., Lee, H., & Tseng, L. (2017) · Oncotarget · doi:10.18632/oncotarget.23055 · Cited by 306
Metabolic reprogramming in cancer: Mechanisms and therapeutics
Nong, S., Han, X., Yu, X., Qian, Y., Wei, Y., Zhang, T., Tian, K., Shen, K., Yang, J., & Ma, X. (2023) · MedComm · doi:10.1002/mco2.218 · Cited by 313
Enhancing the Efficacy of Glutamine Metabolism Inhibitors in Cancer Therapy
Yang, W., Qiu, Y., Stamatatos, O. T., Janowitz, T., & Lukey, M. J. (2021) · Trends in cancer · doi:10.1016/j.trecan.2021.04.003 · Cited by 308
Metabolic Plasticity as a Determinant of Tumor Growth and Metastasis
Lehuédé, C., Dupuy, F., Rabinovitch, R., Jones, R. G., & Siegel, P. M. (2016) · Cancer Research · doi:10.1158/0008-5472.can-16-0266 · Cited by 288
Emerging Roles of Energy Metabolism in Ferroptosis Regulation of Tumor Cells
Yao, X., Li, W., Fang, D., Xiao, C., Wu, X. W., Li, M., & Luo, Z. Y. (2021) · Advanced Science · doi:10.1002/advs.202100997 · Cited by 292
The Role of Cystine/Glutamate Antiporter SLC7A11/xCT in the Pathophysiology of Cancer
Jyotsana, N., Ta, K. T. L., & DelGiorno, K. E. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.858462 · Cited by 290
Lu, H., Samanta, D., Xiang, L., Zhang, H., Hu, H., Chen, I., Bullen, J. W., & Semenza, G. L. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1513433112 · Cited by 270
SLC7A11/xCT in cancer: biological functions and therapeutic implications.
Lin, W., Wang, C., Liu, G., Bi, C., Wang, X., Zhou, Q., & Jin, H. (2020) · PubMed · Cited by 264
Cysteine metabolic circuitries: druggable targets in cancer
Bonifácio, V. D. B., Pereira, S. A., Serpa, J., & Vicente, J. B. (2020) · British Journal of Cancer · doi:10.1038/s41416-020-01156-1 · Cited by 276
Pan-cancer analysis of transcriptional metabolic dysregulation using The Cancer Genome Atlas
Rosario, S. R., Long, M. D., Affronti, H. C., Rowsam, A. M., Eng, K. H., & Smiraglia, D. J. (2018) · Nature Communications · doi:10.1038/s41467-018-07232-8 · Cited by 270
Zhu, T., Shi, L., Yu, C., Dong, Y., Qiu, F., Shen, L., Qian, Q., Zhou, G., & Zhu, X. (2019) · Theranostics · doi:10.7150/thno.32867 · Cited by 270
Reactive oxygen species-mediated therapeutic response and resistance in glioblastoma
Singer, E. A., Judkins, J., Salomonis, N., Matlaf, L., Soteropoulos, P., McAllister, S. D., & Soroceanu, L. (2015) · Cell Death and Disease · doi:10.1038/cddis.2014.566 · Cited by 253
Emerging roles of Myc in stem cell biology and novel tumor therapies
Yoshida, G. J. (2018) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-018-0835-y · Cited by 252
Metabolic reprogramming in triple-negative breast cancer
Wang, Z., Jiang, Q., & Dong, C. (2020) · Cancer Biology and Medicine · doi:10.20892/j.issn.2095-3941.2019.0210 · Cited by 248
Heterogeneity in Cancer Metabolism: New Concepts in an Old Field
Gentric, G., Mieulet, V., & Mechta‐Grigoriou, F. (2016) · Antioxidants and Redox Signaling · doi:10.1089/ars.2016.6750 · Cited by 248
Amino acid metabolism in hematologic malignancies and the era of targeted therapy
Tabe, Y., Lorenzi, P. L., & Konopleva, M. Y. (2019) · Blood · doi:10.1182/blood.2019001034 · Cited by 244
Sayin, V. I., LeBoeuf, S. E., Singh, S. X., Davidson, S. M., Biancur, D., Guzelhan, B. S., Alvarez, S. W., Wu, W. L., Karakousi, T. R., Zavitsanou, A. M., et al. (2017) · eLife · doi:10.7554/elife.28083 · Cited by 231
Paracrine Induction of HIF by Glutamate in Breast Cancer: EglN1 Senses Cysteine
Briggs, K. J., Koivunen, P., Cao, S., Backus, K. M., Olenchock, B. A., Patel, H., Zhang, Q. H., Signoretti, S., Gerfen, G. J., Richardson, A. L., et al. (2016) · Cell · doi:10.1016/j.cell.2016.05.042 · Cited by 228
Du, J., Wan, Z., Wang, C., Fan, L., Wei, M., Wang, D., & Hao, Q. (2021) · Theranostics · doi:10.7150/thno.59121 · Cited by 235
Metabolic reprogramming in triple-negative breast cancer
Sun, X., Wang, M., Wang, M., Yu, X., Guo, J., Sun, T., Li, X., Yao, L., Dong, H., & Xu, Y. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.00428 · Cited by 243
The Glutamate Dehydrogenase Pathway and Its Roles in Cell and Tissue Biology in Health and Disease
Plaitakis, A., Kalef-Ezra, E., Kotzamani, D., Zaganas, I. V., & Spanaki, C. (2017) · Biology · doi:10.3390/biology6010011 · Cited by 252
Jeon, Y. J., Khelifa, S., Ratnikov, B. I., Scott, D. A., Feng, Y., Parisi, F., Ruller, C. M., Lau, E. K., Kim, H., Brill, L. M., et al. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.02.006 · Cited by 235
Vazquez, A., Kamphorst, J. J., Markert, E. K., Schug, Z. T., Tardito, S., & Gottlieb, E. (2016) · Journal of Cell Science · doi:10.1242/jcs.181016 · Cited by 225
Simvastatin induced ferroptosis for triple-negative breast cancer therapy
Yao, X., Xie, R., Cao, Y., Tang, J., Men, Y., Peng, H., & Yang, W. (2021) · Journal of Nanobiotechnology · doi:10.1186/s12951-021-01058-1 · Cited by 227
Yu, H., Yang, C., Lei, J., Guo, S., Chen, R., Li, K., Qu, F., Tao, K. X., Fu, Y., Luo, F., et al. (2019) · Oncology Reports · doi:10.3892/or.2019.7189 · Cited by 225
Yan, Y., Huang, L., Liu, Y., Yi, M., Chu, Q., Jiao, D., & Wu, K. (2022) · Journal of Hematology & Oncology · doi:10.1186/s13045-022-01322-3 · Cited by 226
Metabolic reprogramming in triple-negative breast cancer through Myc suppression of TXNIP
Shen, L., O’Shea, J. M., Kaadige, M. R., Cunha, S., Wilde, B. R., Cohen, A. L., Welm, A. L., & Ayer, D. E. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1501555112 · Cited by 212
The Diverse Functions of Non-Essential Amino Acids in Cancer
Choi, B.-H., & Coloff, J. L. (2019) · Cancers · doi:10.3390/cancers11050675 · Cited by 213
NEAT1 is essential for metabolic changes that promote breast cancer growth and metastasis
Park, M. K., Zhang, L., Min, K., Cho, J.-H., Yeh, C., Moon, H., Hormaechea‐Agulla, D., Mun, H., Ko, S., Lee, J. W., et al. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.11.011 · Cited by 216
Gu, Y., de Albuquerque, C. P., Braas, D., Zhang, W., Villa, G. R., Bi, J., Ikegami, S., Masui, K., Gini, B., Yang, H., et al. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.05.030 · Cited by 208
Kim, D. H., Kim, W. D., Kim, S. K., Moon, D. H., & Lee, S. J. (2020) · Cell Death and Disease · doi:10.1038/s41419-020-2618-6 · Cited by 211
Targeting ferroptosis in breast cancer
Li, Z., Chen, L., Chen, C., Zhou, Y., Hu, D., Yang, J., Chen, Y., Zhuo, W., Mao, M., Zhang, X., et al. (2020) · Biomarker Research · doi:10.1186/s40364-020-00230-3 · Cited by 208
Liberti, M. V., Dai, Z., Wardell, S. E., Baccile, J. A., Liu, X., Gao, X., Baldi, R. M., Mehrmohamadi, M., Johnson, M. O., Madhukar, N. S., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.08.017 · Cited by 201
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Tajan, M., & Vousden, K. H. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.04.005 · Cited by 213
Role of mitochondrial alterations in human cancer progression and cancer immunity
Wang, S., Tseng, L., & Lee, H. (2023) · Journal of Biomedical Science · doi:10.1186/s12929-023-00956-w · Cited by 225
Holo-lactoferrin: the link between ferroptosis and radiotherapy in triple-negative breast cancer
Zhang, Z., Lu, M., Chen, C., Tong, X., Li, Y., Yang, K., Lv, H., Xu, J., & Qin, L. (2021) · Theranostics · doi:10.7150/thno.52028 · Cited by 204
Sorafenib fails to trigger ferroptosis across a wide range of cancer cell lines
Zheng, J., Sato, M., Mishima, E., Sato, H., Proneth, B., & Conrad, M. (2021) · Cell Death and Disease · doi:10.1038/s41419-021-03998-w · Cited by 198
Hasegawa, M., Takahashi, H., Rajabi, H. N., Alam, M., Suzuki, Y., Li, Y., Tagde, A., Maeda, T., Hiraki, M., Sukhatme, V. P., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.7598 · Cited by 189
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Chen, L., & Cui, H. (2015) · International Journal of Molecular Sciences · doi:10.3390/ijms160922830 · Cited by 184
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Verma, N., Vinik, Y., Saroha, A., Nair, N. U., Ruppin, E., Mills, G. B., Karn, T., Dubey, V., Khera, L., Raj, H., et al. (2020) · Science Advances · doi:10.1126/sciadv.aba8968 · Cited by 184
Wang, Z., Liu, F., Fan, N., Zhou, C., Li, D., MacVicar, T., Dong, Q., Bruns, C. J., & Zhao, Y. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.589508 · Cited by 189
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Lanning, N. J., Castle, J. P., Singh, S. J., Leon, A. N., Tovar, E. A., Sanghera, A., MacKeigan, J. P., Filipp, F. V., & Graveel, C. R. (2017) · Cancer & Metabolism · doi:10.1186/s40170-017-0168-x · Cited by 175
Arensman, M. D., Yang, X. S., Leahy, D., Toral‐Barza, L., Mileski, M., Rosfjord, E. C., Wang, F., Deng, S., Myers, J. S., Abraham, R. T., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1814932116 · Cited by 171
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Cha, Y. J., Kim, E.-S., & Koo, J. S. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19030907 · Cited by 167
LLGL2 rescues nutrient stress by promoting leucine uptake in ER+ breast cancer
Saito, Y., Li, L., Coyaud, É., Luna, A., Sander, C., Raught, B., Asara, J. M., Brown, M. A., & Muthuswamy, S. K. (2019) · Nature · doi:10.1038/s41586-019-1126-2 · Cited by 171
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Hassanein, M., Qian, J., Hoeksema, M. D., Wang, J., Jacobovitz, M. R., Ji, X., Harris, F. T., Harris, B. K., Boyd, K. L., Chen, H., et al. (2015) · International Journal of Cancer · doi:10.1002/ijc.29535 · Cited by 168
Impact of cancer metabolism on therapy resistance – Clinical implications
Gonçalves, A. C., Richiardone, E., Jorge, J., Polónia, B. R. G., Xavier, C. P. R., Salaroglio, I. C., Riganti, C., Vasconcelos, M. H., Corbet, C., & Sarmento‐Ribeiro, A. B. (2021) · Drug Resistance Updates · doi:10.1016/j.drup.2021.100797 · Cited by 176
Potential Applications of NRF2 Modulators in Cancer Therapy
Panieri, E., Djordjević, A. B., Telkoparan‐Akillilar, P., Cevik, D., Kouretas, D., Veskoukis, A. S., Skaperda, Z., Tsatsakis, A. M., Wallace, D., Süzen, S., et al. (2020) · Antioxidants · doi:10.3390/antiox9030193 · Cited by 167
Metadata
- Authors
- Timmerman, L. A., Holton, T., Yuneva, M., Louie, R. J., Padró, M., Daemen, A., Hu, M., Chan, D. A., Ethier, S. P., van ‘t Veer, L. J., Polyak, K., McCormick, F., & Gray, J. W.
- Affiliations
- University of California, San Francisco (US)
- San Francisco State University (US)
- Medical Research Council (GB)
- Novartis (China) (CN)
- Medical University of South Carolina (US)
- Oregon Health & Science University (US)
- Corresponding author
- Timmerman, Luika A.
- ORCID
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 24
- Issue
- 4
- Pages
- 450-465
- ISSN
- 1535-6108 (ISSN-L)
- PMC
- PMC3931310
- OpenAlex
- W2034530633
- Cited by
- 573
- References
- 61
- Citations by year
- 2026: 21 · 2025: 46 · 2024: 50 · 2023: 51 · 2022: 49 · 2021: 75 · 2020: 56 · 2019: 55 · 2018: 37 · 2017: 39 · 2016: 39 · 2015: 33 · 2014: 21
- FWCI
- 10.84
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cancer Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- University of California, San Francisco
- National Cancer Institute (P50CA058207, U54CA112970)
- Topics
- 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
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biotechnology › Bacterial Cancer Therapy
- Keywords
- triple-negative breast cancer, glutamine addiction, glutamine uptake, sulfasalazine, therapeutic target, breast cancer cell lines, cancer metabolism, drug development
- MeSH terms
- Animals, Female, Glutamine, Glutathione, Humans, Prognosis, Gene Expression Regulation, Neoplastic, Reactive Oxygen Species, Disease Progression, Gene Expression Profiling, Amino Acid Transport System y+, RNA, Small Interfering, Cell Line, Tumor, Mice, Triple Negative Breast Neoplasms
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