The DOI matches its Crossref record; 26 of the 27 references it cites were found in a registry or an index.
Functional genomics reveal that the serine synthesis pathway is essential in breast cancer
Open accessAbstract
Cancer cells adapt their metabolic processes to drive macromolecular biosynthesis for rapid cell growth and proliferation. RNA interference (RNAi)-based loss-of-function screening has proven powerful for the identification of new and interesting cancer targets, and recent studies have used this technology in vivo to identify novel tumour suppressor genes. Here we developed a method for identifying novel cancer targets via negative-selection RNAi screening using a human breast cancer xenograft model at an orthotopic site in the mouse. Using this method, we screened a set of metabolic genes associated with aggressive breast cancer and stemness to identify those required for in vivo tumorigenesis. Among the genes identified, phosphoglycerate dehydrogenase (PHGDH) is in a genomic region of recurrent copy number gain in breast cancer and PHGDH protein levels are elevated in 70% of oestrogen receptor (ER)-negative breast cancers. PHGDH catalyses the first step in the serine biosynthesis pathway, and breast cancer cells with high PHGDH expression have increased serine synthesis flux. Suppression of PHGDH in cell lines with elevated PHGDH expression, but not in those without, causes a strong decrease in cell proliferation and a reduction in serine synthesis. We find that PHGDH suppression does not affect intracellular serine levels, but causes a drop in the levels of α-ketoglutarate, another output of the pathway and a tricarboxylic acid (TCA) cycle intermediate. In cells with high PHGDH expression, the serine synthesis pathway contributes approximately 50% of the total anaplerotic flux of glutamine into the TCA cycle. These results reveal that certain breast cancers are dependent upon increased serine pathway flux caused by PHGDH overexpression and demonstrate the utility of in vivo negative-selection RNAi screens for finding potential anticancer targets.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Functional PHGDH loss is toxic to tumor cells with PHGDH amplification or high serine biosynthetic flux (Locasale et al., 2011; Mattaini et al., 2015; Possemato et al., 2011; Zhang et al., 2017), and small-molecule inhibitors targeting PHGDH have been shown to inhibit serine synthesis and tumor proliferation in vitro and in xenograft cancer models (Mullarky et al., 2016; Pacold et al., 2016; Wang”
From Targeting Metabolism for Cancer Therapy (2017) · cites this paper as Possemato et al., 2011
In the citing paper
“Serine is present in plasma and can be taken up by cells via amino acid transporters, yet PHGDH expression and increased serine biosynthesis have been shown to be important for supporting cancer cell proliferation and survival in both in vitro and in vivo settings (Locasale et al., 2011; Possemato et al., 2011).”
From Targeting Metabolism for Cancer Therapy (2017) · cites this paper as Possemato et al., 2011
In the citing paper
“Increased PHGDH gene expression leads to greater production of serine from glucose and is associated with specific subsets of breast cancer, lung adenocarcinoma, and melanoma (Locasale et al., 2011; Possemato et al., 2011; Zhang et al., 2017).”
From Targeting Metabolism for Cancer Therapy (2017) · cites this paper as Possemato et al., 2011
In the citing paper
“More recently, it was found that increased expression of the serine synthesis enzyme phosphoglycerate dehydrogenase (PHGDH) in some cancers can result from copy number gain of a region on chromosome 1p (Beroukhim et al., 2010; Locasale et al., 2011; Possemato et al., 2011) or a consequence of oncogenic signaling, including NRF2 and ATF4 signaling (DeNicola et al., 2015), or hypoxia responses (Sam”
From Targeting Metabolism for Cancer Therapy (2017) · cites this paper as Possemato et al., 2011
In the citing paper
“A rate-limiting serine biosynthesis enzyme, 3-phosphoglycerate dehydrogenase (PHGDH), is frequently focally amplified in breast cancer and melanoma and is required for the growth of PHGDH-amplified cells in vitro as well as in vivo”
From The emerging hallmarks of cancer metabolism (2016) · cites this paper as Possemato et al., 2011
In the citing paper
“Amplification of PHGDH has been observed in breast cancer and melanoma (65), and increased PHGDH expression can promote both enhanced serine biosynthesis and the proliferation of cancer cells (65, 66).”
From Fueling Immunity: Insights into Metabolism and Lymphocyte Function (2013) · cites this paper as [66]
In the citing paper
“the region of chromosome 1p12 encoding PHGDH is amplified in a significant fraction of tumors”
From Cellular Metabolism and Disease: What Do Metabolic Outliers Teach Us? (2012) · cites this paper as Possemato et al., 2011
In the citing paper
“cell lines derived from these tumors tend to be highly dependent on PHGDH expression”
From Cellular Metabolism and Disease: What Do Metabolic Outliers Teach Us? (2012) · cites this paper as Possemato et al., 2011
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
van de Vijver, M. J., He, Y. D., Veer, L. V. ‘., Dai, H. A., Hart, A. A. M., Voskuil, D. W., Schreiber, G. J., Peterse, J. L., Roberts, C., Marton, M. J., et al. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa021967 · Cited by 6,474
The landscape of somatic copy-number alteration across human cancers
Beroukhim, R., Mermel, C. H., Porter, D., Wei, G., Raychaudhuri, S., Donovan, J., Barretina, J., Boehm, J. S., Dobson, J., Urashima, M., et al. (2010) · Nature · doi:10.1038/nature08822 · Cited by 4,017
Self-citationDeBerardinis, 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
Ben‐Porath, I., Thomson, M., Carey, V. J., Ge, R., Bell, G. W., Regev, A., & Weinberg, R. A. (2008) · Nature Genetics · doi:10.1038/ng.127 · Cited by 2,571
Sancak, Y., Bar-Peled, L., Zoncu, R., Markhard, A. L., Nada, S., & Sabatini, D. M. (2010) · Cell · doi:10.1016/j.cell.2010.02.024 · Cited by 2,464
Self-citationCancer 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 2×
“Cancer cells adapt their metabolic processes to drive macromolecular biosynthesis for rapid cell growth and proliferation (1,2).”
Self-citationRhodes, D. R., Sundaram, S. K., Mahavisno, V., Varambally, R., Yu, J., Briggs, B., Barrette, T. R., Anstett, M. J., Kincead-Beal, C., Kulkarni, P., et al. (2007) · Neoplasia · doi:10.1593/neo.07112 · Cited by 2,057
A Lentiviral RNAi Library for Human and Mouse Genes Applied to an Arrayed Viral High-Content Screen
Moffat, J., Grueneberg, D. A., Yang, X., Kim, S. Y., Kloepfer, A. M., Hinkle, G., Piqani, B., Eisenhaure, T., Luo, B., Grenier, J. K., et al. (2006) · Cell · doi:10.1016/j.cell.2006.01.040 · Cited by 1,804
Self-citationDissecting direct reprogramming through integrative genomic analysis
Mikkelsen, T. S., Hanna, J. H., Zhang, X., Ku, M., Wernig, M., Schorderet, P., Bernstein, B., Jaenisch, R., Lander, E. S., & Meissner, A. (2008) · Nature · doi:10.1038/nature07056 · Cited by 1,515
Connecting microRNA Genes to the Core Transcriptional Regulatory Circuitry of Embryonic Stem Cells
Marson, A., Levine, S. S., Cole, M. F., Frampton, G. M., Brambrink, T., Johnstone, S. E., Guenther, M. G., Johnston, W. K., Wernig, M., Newman, J. J., et al. (2008) · Cell · doi:10.1016/j.cell.2008.07.020 · Cited by 1,405
Cited by
Sorted by citations
The emerging hallmarks of cancer metabolism
Pavlova, N. N., & Thompson, C. B. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2015.12.006 · Cited by 5,926
Modulation of oxidative stress as an anticancer strategy
Gorrini, C., Harris, I. S., & Mak, T. W. (2013) · Nature Reviews Drug Discovery · doi:10.1038/nrd4002 · Cited by 3,579
Metabolic Reprogramming: A Cancer Hallmark Even Warburg Did Not Anticipate
Ward, P. S., & Thompson, C. B. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.02.014 · Cited by 3,233
Fundamentals of Cancer Metabolism
DeBerardinis, R. J., & Chandel, N. S. (2016) · Science Advances · doi:10.1126/sciadv.1600200 · Cited by 3,013
Understanding the Intersections between Metabolism and Cancer Biology
Heiden, M. G. V., & DeBerardinis, R. J. (2017) · Cell · doi:10.1016/j.cell.2016.12.039 · Cited by 2,369
One-Carbon Metabolism in Health and Disease
Ducker, G. S., & Rabinowitz, J. D. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2016.08.009 · Cited by 2,239
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
Oncogenic Kras maintains pancreatic tumors through regulation of anabolic glucose metabolism
Ying, H., Kimmelman, A. C., Lyssiotis, C. A., Hua, S., Chu, G. C., Fletcher-Sananikone, E., Locasale, J. W., Son, J., Zhang, H., Coloff, J. L., et al. (2012) · Cell · doi:10.1016/j.cell.2012.01.058 · Cited by 2,043
Drugging the undruggable RAS: Mission Possible?
Cox, A. D., Fesik, S. W., Kimmelman, A. C., Luo, J., & Der, C. J. (2014) · Nature Reviews Drug Discovery · doi:10.1038/nrd4389 · Cited by 1,997
L-Arginine Modulates T Cell Metabolism and Enhances Survival and Anti-tumor Activity
Geiger, R., Rieckmann, J. C., Wolf, T., Basso, C., Feng, Y., Fuhrer, T., Kogadeeva, M., Picotti, P., Meissner, F., Mann, M., et al. (2016) · Cell · doi:10.1016/j.cell.2016.09.031 · Cited by 1,775
Serine, glycine and one-carbon units: cancer metabolism in full circle
Locasale, J. W. (2013) · Nature reviews. Cancer · doi:10.1038/nrc3557 · Cited by 1,727
Cancer metabolism: a therapeutic perspective
Martinez-Outschoorn, U. E., Peiris-Pagés, M., Pestell, R. G., Sotgia, F., & Lisanti, M. P. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2016.60 · Cited by 1,505
Metabolic pathways promoting cancer cell survival and growth
Boroughs, L. K., & DeBerardinis, R. J. (2015) · Nature Cell Biology · doi:10.1038/ncb3124 · Cited by 1,499
Targeting cancer metabolism: a therapeutic window opens
Heiden, M. G. V. (2011) · Nature Reviews Drug Discovery · doi:10.1038/nrd3504 · Cited by 1,443
The hallmarks of cancer metabolism: still emerging
Pavlova, N. N., Zhu, J., & Thompson, C. B. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.01.007 · Cited by 1,418
Metabolite profiling identifies a key role for glycine in rapid cancer cell proliferation
Jain, M., Nilsson, R., Sharma, S., Madhusudhan, N., Kitami, T., Souza, A. L., Kafri, R., Kirschner, M. W., Clish, C. B., & Mootha, V. K. (2012) · Science · doi:10.1126/science.1218595 · Cited by 1,403
Fueling Immunity: Insights into Metabolism and Lymphocyte Function
Pearce, E. L., Poffenberger, M. C., Chang, C.-H., & Jones, R. G. (2013) · Science · doi:10.1126/science.1242454 · Cited by 1,363
Oxidative stress inhibits distant metastasis by human melanoma cells
Piskounova, E., Agathocleous, M., Murphy, M. M., Hu, Z., Huddlestun, S. E., Zhao, Z., Leitch, A. M., Johnson, T. M., DeBerardinis, R. J., & Morrison, S. J. (2015) · Nature · doi:10.1038/nature15726 · Cited by 1,269
Reprogramming glucose metabolism in cancer: can it be exploited for cancer therapy?
Hay, N. (2016) · Nature reviews. Cancer · doi:10.1038/nrc.2016.77 · Cited by 1,152
Metabolic regulation of cell growth and proliferation
Zhu, J., & Thompson, C. B. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0123-5 · Cited by 1,154
Metabolic heterogeneity in human lung tumors
Hensley, C. T., Faubert, B., Yuan, Q., Lev-Cohain, N., Jin, E., Kim, J., Jiang, L., Ko, B., Skelton, R., Loudat, L., et al. (2016) · Cell · doi:10.1016/j.cell.2015.12.034 · Cited by 1,138
Quantitative flux analysis reveals folate-dependent NADPH production
Fan, J., Ye, J., Kamphorst, J. J., Shlomi, T., Thompson, C. B., & Rabinowitz, J. D. (2014) · Nature · doi:10.1038/nature13236 · Cited by 1,114
Glucose-Independent Glutamine Metabolism via TCA Cycling for Proliferation and Survival in B Cells
Le, A., Lane, A. N., Hamaker, M., Bose, S., Gouw, A., Barbi, J., Tsukamoto, T., Rojas, C. J., Slusher, B. S., Zhang, H., et al. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2011.12.009 · Cited by 1,095
Serine and glycine metabolism in cancer
Amelio, I., Cutruzzolà, F., Antonov, A., Agostini, M., & Melino, G. (2014) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2014.02.004 · Cited by 1,080
Links between metabolism and cancerPreprint
Dang, C. V. (2012) · Genes & Development · doi:10.1101/gad.189365.112 · Cited by 1,021
Serine starvation induces stress and p53-dependent metabolic remodelling in cancer cells
Maddocks, O. D. K., Berkers, C. R., Mason, S. M., Zheng, L., Blyth, K., Gottlieb, E., & Vousden, K. H. (2013) · Nature · doi:10.1038/nature11743 · Cited by 1,007
Serine and one-carbon metabolism in cancer
Yang, M., & Vousden, K. H. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.81 · Cited by 992
Cancer Cell Metabolism: One Hallmark, Many Faces
Cantor, J. R., & Sabatini, D. M. (2012) · Cancer Discovery · doi:10.1158/2159-8290.cd-12-0345 · Cited by 989
Self-citationTargeting 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
Regulation of mammalian nucleotide metabolism and biosynthesis
Lane, A. N., & Fan, T. W.-M. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv047 · Cited by 959
How cancer metabolism is tuned for proliferation and vulnerable to disruption
Schulze, A., & Harris, A. L. (2012) · Nature · doi:10.1038/nature11706 · Cited by 945
Patra, K. C., Wang, Q., Bhaskar, P. T., Miller, L. L., Wang, Z., Wheaton, W. W., Chandel, N. S., Laakso, M., Muller, W. J., Allen, E. L., et al. (2013) · Cancer Cell · doi:10.1016/j.ccr.2013.06.014 · Cited by 884
Self-citationCellular 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
Lieu, E. L., Nguyen, T. A., Rhyne, S., & Kim, J. (2020) · Experimental & Molecular Medicine · doi:10.1038/s12276-020-0375-3 · Cited by 847
NFS1 undergoes positive selection in lung tumours and protects cells from ferroptosis
Alvarez, S. W., Sviderskiy, V. O., Terzi, E. M., Papagiannakopoulos, T., Moreira, A. L., Adams, S., Sabatini, D. M., Birsoy, K., & Possemato, R. (2017) · Nature · doi:10.1038/nature24637 · Cited by 787
Self-citationNRF2 regulates serine biosynthesis in non–small cell lung cancer
DeNicola, G. M., Chen, P.-H., Mullarky, E., Sudderth, J., Hu, Z., Wu, D., Tang, H., Xie, Y., Asara, J. M., Huffman, K. E., et al. (2015) · Nature Genetics · doi:10.1038/ng.3421 · Cited by 768
Metabolic targets for cancer therapy
Galluzzi, L., Kepp, O., Heiden, M. G. V., & Kroemer, G. (2013) · Nature Reviews Drug Discovery · doi:10.1038/nrd4145 · Cited by 731
The interplay between cell signalling and the mevalonate pathway in cancer
Mullen, P., Yu, R., Longo, J., Archer, M. C., & Penn, L. Z. (2016) · Nature reviews. Cancer · doi:10.1038/nrc.2016.76 · Cited by 714
Metabolic determinants of cancer cell sensitivity to glucose limitation and biguanides
Birsoy, K., Possemato, R., Lorbeer, F. K., Bayraktar, E. C., Thiru, P., Yucel, B., Wang, T., Chen, W. W., Clish, C. B., & Sabatini, D. M. (2014) · Nature · doi:10.1038/nature13110 · Cited by 710
Self-citationMetabolic Regulation of Epigenetics
Lu, C., & Thompson, C. B. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.06.001 · Cited by 699
Phosphofructokinase 1 Glycosylation Regulates Cell Growth and Metabolism
Yi, W., Clark, P. M., Mason, D. E., Keenan, M. C., Hill, C., Goddard, W. A., Peters, E. C., Driggers, E. M., & Hsieh‐Wilson, L. C. (2012) · Science · doi:10.1126/science.1222278 · Cited by 696
Self-citationMetabolic control of cell death
Green, D. R., Galluzzi, L., & Kroemer, G. (2014) · Science · doi:10.1126/science.1250256 · Cited by 678
Metabolomics in cancer research and emerging applications in clinical oncology
Schmidt, D. R., Patel, R., Kirsch, D. G., Lewis, C. A., Heiden, M. G. V., & Locasale, J. W. (2021) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21670 · Cited by 675
Serine is a natural ligand and allosteric activator of pyruvate kinase M2
Chaneton, B., Hillmann, P., Zheng, L., Martin, A. C. L., Maddocks, O. D. K., Chokkathukalam, A., Coyle, J. E., Jankevics, A., Holding, F. P., Vousden, K. H., et al. (2012) · Nature · doi:10.1038/nature11540 · Cited by 661
Zhang, W. C., Shyh-Chang, N., Yang, H., Rai, A., Umashankar, S., Ma, S., Soh, B. S., Sun, L. L., Tai, B. C., Nga, M. E., et al. (2012) · Cell · doi:10.1016/j.cell.2011.11.050 · Cited by 660
Mechanisms of Metabolic Reprogramming in Cancer Cells Supporting Enhanced Growth and Proliferation
Schiliro, C., & Firestein, B. L. (2021) · Cells · doi:10.3390/cells10051056 · Cited by 659
Serine is an essential metabolite for effector T cell expansion
Ma, E. H., Bantug, G., Griss, T., Condotta, S., Johnson, R. M., Samborska, B., Mainolfi, N., Suri, V., Guak, H., Balmer, M. L., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2016.12.011 · Cited by 657
Metabolites and the Tumour Microenvironment: From Cellular Mechanisms to Systemic Metabolism
Elia, I., & Haigis, M. C. (2021) · Nature Metabolism · doi:10.1038/s42255-020-00317-z · Cited by 651
A roadmap for interpreting 13C metabolite labeling patterns from cells
Buescher, J. M., Antoniewicz, M. R., Boros, L. G., Burgess, S. C., Brunengraber, H., Clish, C. B., DeBerardinis, R. J., Féron, O., Frezza, C., Ghesquière, B., et al. (2015) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2015.02.003 · Cited by 644
Influence of Threonine Metabolism on S -Adenosylmethionine and Histone Methylation
Shyh-Chang, N., Locasale, J. W., Lyssiotis, C. A., Zheng, Y., Teo, R. Y., Ratanasirintrawoot, S., Zhang, J., Onder, T., Unternaehrer, J. J., Zhu, H., et al. (2013) · Science · doi:10.1126/science.1226603 · Cited by 638
Nilsson, R., Jain, M., Madhusudhan, N., Sheppard, N. G., Strittmatter, L., Kampf, C., Huang, J., Asplund, A., & Mootha, V. K. (2014) · Nature Communications · doi:10.1038/ncomms4128 · Cited by 607
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
Modulating the therapeutic response of tumours to dietary serine and glycine starvation
Maddocks, O. D. K., Athineos, D., Cheung, E. C., Lee, P., Zhang, T., van den Broek, N. J. F., Mackay, G. M., Labuschagne, C. F., Gay, D., Kruiswijk, F., et al. (2017) · Nature · doi:10.1038/nature22056 · Cited by 603
Abdel-Wahab, A. F., Mahmoud, W., & Al-Harizy, R. M. (2019) · Pharmacological Research · doi:10.1016/j.phrs.2019.104511 · Cited by 598
Sullivan, M. R., Danai, L. V., Lewis, C. A., Chan, S. H., Gui, D. Y., Kunchok, T., Dennstedt, E. A., Vander Heiden, M. G., & Muir, A. (2019) · eLife · doi:10.7554/elife.44235 · Cited by 588
The mTORC1 Pathway Stimulates Glutamine Metabolism and Cell Proliferation by Repressing SIRT4
Csibi, A., Fendt, S.-M., Li, C., Poulogiannis, G., Choo, A. Y., Chapski, D. J., Jeong, S. M., Dempsey, J. M., Parkhitko, A., Morrison, T., et al. (2013) · Cell · doi:10.1016/j.cell.2013.04.023 · Cited by 586
Serine, but not glycine, supports one-carbon metabolism and proliferation of cancer cells
Labuschagne, C. F., van den Broek, N. J. F., Mackay, G. M., Vousden, K. H., & Maddocks, O. D. K. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.04.045 · Cited by 576
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
A PHGDH inhibitor reveals coordination of serine synthesis and one-carbon unit fate
Pacold, M. E., Brimacombe, K. R., Chan, S. H., Rohde, J. M., Lewis, C. A., Swier, L. J. Y. M., Possemato, R., Chen, W. W., Sullivan, L. B., Fiske, B. P., et al. (2016) · Nature Chemical Biology · doi:10.1038/nchembio.2070 · Cited by 553
Self-citationProteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy
Krug, K., Jaehnig, E. J., Satpathy, S., Blumenberg, L. M., Karpova, A. Y., Anurag, M., Miles, G., Mertins, P., Geffen, Y., Tang, L. C., et al. (2020) · Cell · doi:10.1016/j.cell.2020.10.036 · Cited by 553
Fructose-1,6-bisphosphatase opposes renal carcinoma progression
Li, B., Qiu, B., Lee, D. S. M., Walton, Z. E., Ochocki, J. D., Mathew, L. K., Mancuso, A., Gade, T. P. F., Keith, B., Nissim, I., et al. (2014) · Nature · doi:10.1038/nature13557 · Cited by 535
One-carbon metabolism in cancer
Newman, A. C., & Maddocks, O. D. K. (2017) · British Journal of Cancer · doi:10.1038/bjc.2017.118 · Cited by 525
Mardinoğlu, A., Ågren, R., Kampf, C., Asplund, A., Uhlén, M., & Nielsen, J. (2014) · Nature Communications · doi:10.1038/ncomms4083 · Cited by 523
Mitochondrial Dysfunction in Cancer
Boland, M. L., Chourasia, A. H., & Macleod, K. F. (2013) · Frontiers in Oncology · doi:10.3389/fonc.2013.00292 · Cited by 521
Amino acid homeostasis and signalling in mammalian cells and organisms
Bröer, S., & Bröer, A. (2017) · Biochemical Journal · doi:10.1042/bcj20160822 · Cited by 518
PKM2, cancer metabolism, and the road ahead
Dayton, T. L., Jacks, T., & Vander Heiden, M. G. (2016) · The EMBO Reports · doi:10.15252/embr.201643300 · Cited by 515
Pyruvate carboxylase is critical for non–small-cell lung cancer proliferation
Sellers, K., Fox, M. P., Bousamra, M., Slone, S. P., Higashi, R. M., Miller, D. M., Wang, Y., Yan, J., Yuneva, M. O., Deshpande, R., et al. (2015) · Journal of Clinical Investigation · doi:10.1172/jci72873 · Cited by 497
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
Hallmarks of Endothelial Cell Metabolism in Health and Disease
Li, X., Sun, X., & Carmeliet, P. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.08.011 · Cited by 469
Potential Mechanisms Connecting Purine Metabolism and Cancer Therapy
Yin, J., Ren, W., Huang, X., Deng, J., Li, T., & Yin, Y. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.01697 · Cited by 462
Lin28: Primal Regulator of Growth and Metabolism in Stem Cells
Shyh-Chang, N., & Daley, G. Q. (2013) · Cell Stem Cell · doi:10.1016/j.stem.2013.03.005 · Cited by 458
Metabolism of Amino Acids in Cancer
Wei, Z. C., Liu, X., Cheng, C., Yu, W., & Yi, P. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.603837 · Cited by 456
NNMT promotes epigenetic remodeling in cancer by creating a metabolic methylation sink
Ulanovskaya, O. A., Zuhl, A. M., & Cravatt, B. F. (2013) · Nature Chemical Biology · doi:10.1038/nchembio.1204 · Cited by 454
Serine Catabolism Regulates Mitochondrial Redox Control during Hypoxia
Ye, J., Fan, J., Venneti, S., Wan, Y.-W., Pawel, B. R., Zhang, J., Finley, L. W. S., Lu, C., Lindsten, T., Cross, J. R., et al. (2014) · Cancer Discovery · doi:10.1158/2159-8290.cd-14-0250 · Cited by 452
Maddocks, O. D. K., Labuschagne, C. F., Adams, P. D., & Vousden, K. H. (2016) · Molecular Cell · doi:10.1016/j.molcel.2015.12.014 · Cited by 452
Tumor glycolysis, an essential sweet tooth of tumor cells
Paul, S., Ghosh, S., & Kumar, S. (2022) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2022.09.007 · Cited by 449
Methionine is a metabolic dependency of tumor-initiating cells
Wang, Z., Yip, L. Y., Lee, J. H. J., Wu, Z., Chew, H. Y., Chong, P. K. W., Teo, C. C., Ang, H. Y.-K., Peh, K. L. E., Yuan, J. X., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0423-5 · Cited by 431
MYC-driven accumulation of 2-hydroxyglutarate is associated with breast cancer prognosis
Terunuma, A., Putluri, N., Mishra, P., Mathé, E. A., Dorsey, T. H., Yi, M., Wallace, T. A., Issaq, H. J., Zhou, M., Killian, J. K., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci71180 · Cited by 428
Wei, L., Lee, D., Law, C.-T., Zhang, M. S., Shen, J., Chin, D. W.-C., Zhang, A., Tsang, F. H.-C., Wong, C. L.-S., Ng, I. O.-L., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12606-7 · Cited by 428
Ye, J., Mancuso, A., Tong, X., Ward, P. S., Fan, J., Rabinowitz, J. D., & Thompson, C. B. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1204176109 · Cited by 426
The importance of serine metabolism in cancer
Mattaini, K. R., Sullivan, M. R., & Heiden, M. G. V. (2016) · The Journal of Cell Biology · doi:10.1083/jcb.201604085 · Cited by 423
Reversal of cytosolic one-carbon flux compensates for loss of the mitochondrial folate pathway
Ducker, G. S., Chen, L., Morscher, R. J., Ghergurovich, J. M., Esposito, M., Teng, X., Kang, Y., & Rabinowitz, J. D. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.04.016 · Cited by 419
Dietary modifications for enhanced cancer therapy
Kanarek, N., Petrova, B., & Sabatini, D. M. (2020) · Nature · doi:10.1038/s41586-020-2124-0 · Cited by 418
Self-citationAltered metabolite levels in cancer: implications for tumour biology and cancer therapy
Sullivan, L. B., Gui, D. Y., & Heiden, M. G. V. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.85 · Cited by 406
Cancer cell metabolism: implications for therapeutic targets
Jang, M., Kim, S. S., & Lee, J. (2013) · Experimental & Molecular Medicine · doi:10.1038/emm.2013.85 · Cited by 405
Daemen, A., Peterson, D., Sahu, N., McCord, R., Du, X., Liu, B., Kowanetz, K., Hong, R., Moffat, J., Gao, M., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1501605112 · Cited by 398
Cancer metabolism: current perspectives and future directions
Muñoz-Pinedo, C., El Mjiyad, N., & Ricci, J.-E. (2012) · Cell Death & Disease · doi:10.1038/cddis.2011.123 · Cited by 385
Targeting glucose metabolism for cancer therapy
Hamanaka, R. B., & Chandel, N. S. (2012) · The Journal of Experimental Medicine · doi:10.1084/jem.20120162 · Cited by 385
Essential nontranslational functions of tRNA synthetases
Guo, M., & SCHIMMEL, P. R. (2013) · Nature Chemical Biology · doi:10.1038/nchembio.1158 · Cited by 381
Semenza, G. L. (2016) · The EMBO Journal · doi:10.15252/embj.201695204 · Cited by 380
Similarities and Distinctions of Cancer and Immune Metabolism in Inflammation and Tumors
Andrejeva, G., & Rathmell, J. C. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.06.004 · Cited by 374
Metabolic reprogramming for cancer cells and their microenvironment: Beyond the Warburg Effect
Sun, L., Suo, C., Li, S., Zhang, H., & Gao, P. (2018) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2018.06.005 · Cited by 374
SHMT2 drives glioma cell survival in ischaemia but imposes a dependence on glycine clearance
Kim, D., Fiske, B. P., Birsoy, K., Freinkman, E., Kami, K., Possemato, R. L., Chudnovsky, Y., Pacold, M. E., Chen, W. W., Cantor, J. R., et al. (2015) · Nature · doi:10.1038/nature14363 · Cited by 368
Self-citationYu, W., Wang, Z., Zhang, K., Chi, Z., Xu, T., Jiang, D., Chen, S., Li, W., Yang, X., Zhang, X., et al. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.06.039 · Cited by 362
Challenges for assessing replicability in preclinical cancer biology
Errington, T. M., Denis, A., Perfito, N., Iorns, E., & Nosek, B. A. (2021) · eLife · doi:10.7554/elife.67995 · Cited by 345
LKB1 loss links serine metabolism to DNA methylation and tumorigenesis
Kottakis, F., Nicolay, B. N., Roumane, A., Karnik, R., Gu, H., Nagle, J. M., Boukhali, M., Hayward, M. C., Li, Y. Y., Chen, T., et al. (2016) · Nature · doi:10.1038/nature20132 · Cited by 348
Metabolic Codependencies in the Tumor Microenvironment
Dey, P., Kimmelman, A. C., & DePinho, R. A. (2021) · Cancer Discovery · doi:10.1158/2159-8290.cd-20-1211 · Cited by 349
Metabolism of [U‐ 13 C]glucose in human brain tumors in vivo
Maher, E. A., Marin‐Valencia, I., Bachoo, R. M., Mashimo, T., Raisanen, J., Hatanpaa, K. J., Jindal, A., Jeffrey, F. M., Choi, C., Madden, C., et al. (2012) · NMR in Biomedicine · doi:10.1002/nbm.2794 · Cited by 341
Passenger deletions generate therapeutic vulnerabilities in cancer
Muller, F. L., Colla, S., Aquilanti, E., Manzo, V. E., Genovese, G., Lee, J., Eisenson, D., Narurkar, R., Deng, P., Nezi, L., et al. (2012) · Nature · doi:10.1038/nature11331 · Cited by 339
Finley, L. W. S. (2023) · Cell · doi:10.1016/j.cell.2023.01.038 · Cited by 343
Metadata
- Authors
- Possemato, R., Marks, K. M., Shaul, Y. D., Pacold, M. E., Kim, D., Birsoy, K., Sethumadhavan, S., Woo, H.-K., Jang, H. G., Jha, A. K., Chen, W. W., Barrett, F. G., Stransky, N., Tsun, Z.-Y., Cowley, G. S., Barretina, J., Kalaany, N. Y., Hsu, P. P., Ottina, K., Chan, A. M., Yuan, B., Garraway, L. A., Root, D. E., Mino-Kenudson, M., Brachtel, E. F., Driggers, E. M., & Sabatini, D. M.
- Affiliations
- Whitehead Institute for Biomedical Research (US)
- Agios Pharmaceuticals (United States) (US)
- Broad Institute (US)
- Harvard University (US)
- Corresponding author
- Sabatini, David M.
- ORCID
- Possemato, Richard
- Shaul, Yoav D.
- Pacold, Michael E.
- Kim, Dohoon
- Birsoy, Kıvanç
- Sethumadhavan, Shalini
- Jang, Hyun G.
- Jha, Abhishek K.
- Chen, Walter W.
- Barrett, Francesca G.
- Stransky, Nicolas
- Cowley, Glenn S.
- Barretina, Jordi
- Kalaany, Nada Y.
- Hsu, Peggy P.
- Yuan, Bingbing
- Garraway, Levi A.
- Root, David E.
- Mino-Kenudson, Mari
- Brachtel, Elena F.
- Sabatini, David M.
- Venue
- Nature
- Published
- 2011-08
- Volume
- 476
- Issue
- 7360
- Pages
- 346-350
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3353325
- OpenAlex
- W2022899908
- Cited by
- 1,683
- References
- 27
- Citations by year
- 2026: 72 · 2025: 111 · 2024: 120 · 2023: 116 · 2022: 138 · 2021: 167 · 2020: 137 · 2019: 126 · 2018: 93 · 2017: 97 · 2016: 125 · 2015: 93 · 2014: 109 · 2013: 72 · 2012: 87
- FWCI
- 31.22
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- RePEc: Research Papers in Economics (submittedVersion)
- PMC
- Funders
- Howard Hughes Medical Institute
- W. M. Keck Foundation
- Alexander and Margaret Stewart Trust
- Life Sciences Research Foundation
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
- National Institutes of Health
- National Cancer Institute (CA103866, R01CA103866, R01CA129105)
- National Institute of General Medical Sciences (T32GM007753)
- 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 › Cancer Research › Cancer, Lipids, and Metabolism
- Keywords
- PHGDH, breast cancer, cancer metabolism, breast cancer xenografts, estrogen receptor-negative breast cancer, alpha-ketoglutarate, glutamine metabolism, TCA cycle, anaplerosis, tumor metabolic reprogramming, anticancer drug targets, cell proliferation
- MeSH terms
- Animals, Breast Neoplasms, Citric Acid Cycle, Humans, Ketoglutaric Acids, Melanoma, Neoplasm Transplantation, Serine, Biomarkers, Tumor, Gene Expression Regulation, Enzymologic, Gene Expression Regulation, Neoplastic, Glutamic Acid, Genomics, RNA Interference, Cell Line, Tumor, Cell Proliferation, Phosphoglycerate Dehydrogenase, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review