The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Enhanced serine production by bone metastatic breast cancer cells stimulates osteoclastogenesis
Open accessAbstract
Since bone metastatic breast cancer is an incurable disease, causing significant morbidity and mortality, an understanding of the underlying molecular mechanisms would be highly valuable. Here, we describe in vitro and in vivo evidences for the importance of serine biosynthesis in the metastasis of breast cancer to bone. We first characterized the bone metastatic propensity of the MDA-MB-231(SA) cell line variant as compared to the parental MDA-MB-231 cells by radiographic and histological observations in the inoculated mice. Genome-wide gene expression profiling of this isogenic cell line pair revealed that all the three genes involved in the L: -serine biosynthesis pathway, phosphoglycerate dehydrogenase (PHGDH), phosphoserine aminotransferase 1 (PSAT1), and phosphoserine phosphatase (PSPH) were upregulated in the highly metastatic variant. This pathway is the primary endogenous source for L: -serine in mammalian tissues. Consistently, we observed that the proliferation of MDA-MB-231(SA) cells in serine-free conditions was dependent on PSAT1 expression. In addition, we observed that L: -serine is essential for the formation of bone resorbing human osteoclasts and may thus contribute to the vicious cycle of osteolytic bone metastasis. High expression of PHGDH and PSAT1 in primary breast cancer was significantly associated with decreased relapse-free and overall survival of patients and malignant phenotypic features of breast cancer. In conclusion, high expression of serine biosynthesis genes in metastatic breast cancer cells and the stimulating effect of L: -serine on osteoclastogenesis and cancer cell proliferation indicate a functionally critical role for serine biosynthesis in bone metastatic breast cancer and thereby an opportunity for targeted therapeutic interventions.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“High levels of PHGDH protein expression relative to normal tissue correlates with disease severity in breast cancer patients (Pollari et al., 2011).”
From Cellular Metabolism and Disease: What Do Metabolic Outliers Teach Us? (2012) · cites this paper as Pollari et al., 2011
Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
Bioconductor: open software development for computational biology and bioinformatics
Gentleman, R. C., Carey, V. J., Bates, D. M., Bolstad, B., Dettling, M., Dudoit, S., Ellis, B., Gautier, L., Ge, Y., Gentry, J., et al. (2004) · Genome biology · doi:10.1186/gb-2004-5-10-r80 · Cited by 12,082
DAVID: Database for Annotation, Visualization, and Integrated Discovery
Dennis, G., Sherman, B. T., Hosack, D. A., Yang, J., Gao, W., Lane, H. C., & Lempicki, R. A. (2003) · Genome Biology · doi:10.1186/gb-2003-4-5-p3 · Cited by 9,327
Repeated observation of breast tumor subtypes in independent gene expression data sets
Sørlie, T., Tibshirani, R. J., Parker, J. S., Hastie, T. J., Marron, J. S., Nobel, A. B., Deng, S., Johnsen, H., Pesich, R., Geisler, S. B., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0932692100 · Cited by 5,508
Summaries of Affymetrix GeneChip probe level data
Irizarry, R. A. (2003) · Nucleic Acids Research · doi:10.1093/nar/gng015 · Cited by 4,837
A multigenic program mediating breast cancer metastasis to bone
Kang, Y., Siegel, P. M., Shu, W., Drobnjak, M., Käkönen, S.-M., Cordon‐Cardo, C., Guise, T. A., & Massagué, J. (2003) · Cancer Cell · doi:10.1016/s1535-6108(03)00132-6 · Cited by 2,605
Self-citationEvolving gene/transcript definitions significantly alter the interpretation of GeneChip data
Dai, M. (2005) · Nucleic Acids Research · doi:10.1093/nar/gni179 · Cited by 1,807
WebGestalt: an integrated system for exploring gene sets in various biological contexts
Zhang, B., Kirov, S. A., & Snoddy, J. R. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki475 · Cited by 1,803
Miller, L. D., Smeds, J., George, J., Vega, V. B., Vergara, L. A., Ploner, A., Yudi Pawitan, Y., Hall, P. N., Klaar, S., Liu, E. T., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506230102 · Cited by 1,256
Yin, J. J., Selander, K. S., Chirgwin, J. M., Dallas, M., Grubbs, B. G., Wieser, R., Massagué, J., Mundy, G. R., & Guise, T. A. (1999) · Journal of Clinical Investigation · doi:10.1172/jci3523 · Cited by 988
Self-citation
Cited by
Sorted by citations
Items 101–200 of 272
The Fate of Glutamine in Human Metabolism. The Interplay with Glucose in Proliferating Cells
Mazat, J., & Ransac, S. (2019) · Metabolites · doi:10.3390/metabo9050081 · Cited by 44
Unterlass, J. E., Baslé, A., Blackburn, T. J., Tucker, J. A., Cano, C., Noble, M. E. M., & Curtin, N. J. (2016) · Oncotarget · doi:10.18632/oncotarget.11487 · Cited by 42
Hohensee, I., Chuang, H., Grottke, A., Werner, S., Schulte, A., Horn, S., Lamszus, K., Bartkowiak, K., Witzel, I., Westphal, M., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.14047 · Cited by 42
Overexpression of the PSAT1 Gene in Nasopharyngeal Carcinoma Is an Indicator of Poor Prognosis
Liao, K., Chao, T., Tian, Y.-F., Lin, C., Lee, S., Chuang, H.-Y., Chan, T., Chen, T.-J., Hsing, C., Sheu, M.-J., et al. (2016) · Journal of Cancer · doi:10.7150/jca.15258 · Cited by 41
Wikman, H., Westphal, L. P., Schmid, F., Pollari, S., Kropidlowski, J., Sielaff-Frimpong, B., Glatzel, M., Matschke, J., Westphal, M., Iljin, K., et al. (2014) · Oncotarget · doi:10.18632/oncotarget.1832 · Cited by 40
Self-citationMitochondrial Redox Metabolism: The Epicenter of Metabolism during Cancer Progression
Choudhury, F. K. (2021) · Antioxidants · doi:10.3390/antiox10111838 · Cited by 44
Mapping cancer cell metabolism with 13 C flux analysis: Recent progress and future challenges
Young, J., Duckwall, C., & Murphy, T. A. (2013) · Journal of Carcinogenesis · doi:10.4103/1477-3163.115422 · Cited by 43
Wu, Q., Li, J., Sun, S., Chen, X., Zhang, H., Li, B., & Sun, S. (2017) · Bioscience Reports · doi:10.1042/bsr20171072 · Cited by 38
Ros, R., Cascales‐Miñana, B., Segura, J., Anoman, A. D., Toujani, W., Flores‐Tornero, M., Rosa‐Téllez, S., & Muñoz‐Bertomeu, J. (2012) · Plant Biology · doi:10.1111/j.1438-8677.2012.00682.x · Cited by 41
Enzymes in Metabolic Anticancer Therapy
Maggi, M., & Scotti, C. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-13-7709-9_9 · Cited by 40
An integrated pan-cancer analysis of PSAT1: A potential biomarker for survival and immunotherapy
Feng, M., Cui, H., Tu, W., Li, L., Gao, Y., Chen, L., Li, D., Chen, X., Xu, F., Zhou, C., et al. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.975381 · Cited by 37
Immunoproteomics of HER2-Positive and HER2-Negative Breast Cancer Patients with Positive Lymph Nodes
Mojtahedi, Z., Safaei, A., Yousefi, Z., & Ghaderi, A. A. (2011) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2010.0131 · Cited by 37
Gromova, I., Gromov, P., Honma, N., Kumar, S., Rimm, D. L., Talman, M., Wielenga, V. T., & Moreira, J. M. A. (2015) · Molecular Oncology · doi:10.1016/j.molonc.2015.05.003 · Cited by 36
Perspectives of Reprogramming Breast Cancer Metabolism
Wang, Y.-P., & Lei, Q. (2017) · Advances in experimental medicine and biology · doi:10.1007/978-981-10-6020-5_10 · Cited by 39
The metabolic adaptation mechanism of metastatic organotropism
Wang, C., & Luo, D. (2021) · Experimental Hematology and Oncology · doi:10.1186/s40164-021-00223-4 · Cited by 40
Phosphoglycerate dehydrogenase is a novel predictor for poor prognosis in gastric cancer
Wu, H. J., Xian, Y., Zhang, S., Wang, X., Jin, Q., & Wang, W. (2016) · OncoTargets and Therapy · doi:10.2147/ott.s105787 · Cited by 34
Amino acid metabolic reprogramming in tumor metastatic colonization
Wang, Z., Wu, X., Chen, H., & Wang, K. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1123192 · Cited by 35
Phosphoglycerate Dehydrogenase: Potential Therapeutic Target and Putative Metabolic Oncogene
Zogg, C. K. (2014) · Journal of Oncology · doi:10.1155/2014/524101 · Cited by 36
Bollig-Fischer, A. B., Dewey, T. G., & Ethier, S. P. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017959 · Cited by 35
Metabolic Flexibility Is a Determinant of Breast Cancer Heterogeneity and Progression
Fukano, M., Park, M., & Deblois, G. (2021) · Cancers · doi:10.3390/cancers13184699 · Cited by 36
Lehtinen, L., Vainio, P., Wikman, H., Reemts, J., Hilvo, M., Issa, R., Pollari, S., Brandt, B., Orešič, M., Pantel, K., et al. (2011) · The Journal of Pathology · doi:10.1002/path.3956 · Cited by 34
Self-citationZhao, C., Tang, Z., Chung, A. C. K., Wang, H., & Cai, Z. (2018) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2018.12.018 · Cited by 34
Warburg and Krebs and related effects in cancer
Unterlass, J. E., & Curtin, N. J. (2019) · Expert Reviews in Molecular Medicine · doi:10.1017/erm.2019.4 · Cited by 35
Lehtinen, L., Vainio, P., Wikman, H., Huhtala, H., Müller, V., Kallioniemi, A. H., Pantel, K., Kronqvist, P., Kallioniemi, O., Carpén, O., et al. (2017) · The Journal of Pathology Clinical Research · doi:10.1002/cjp2.69 · Cited by 33
Self-citationTargeting Mitochondria with ClpP Agonists as a Novel Therapeutic Opportunity in Breast Cancer
Wedam, R., Greer, Y. E., Wisniewski, D. J., Weltz, S., Kundu, M., Voeller, D. M., & Lipkowitz, S. (2023) · Cancers · doi:10.3390/cancers15071936 · Cited by 36
Meyer, F., Becker, S., Classen, S., Parplys, A. C., Mansour, W. Y., Riepen, B., Timm, S., Ruebe, C., Jasin, M., Wikman, H., et al. (2020) · Cells · doi:10.3390/cells9010238 · Cited by 31
Phosphoglycerate dehydrogenase (PHGDH) inhibitors: a comprehensive review 2015–2020
Spillier, Q., & Frédérick, R. (2021) · Expert Opinion on Therapeutic Patents · doi:10.1080/13543776.2021.1890028 · Cited by 32
Bolomsky, A., Schreder, M., Meißner, T., Hose, D., Ludwig, H., Pfeifer, S., & Zojer, N. (2014) · Experimental Hematology · doi:10.1016/j.exphem.2014.03.005 · Cited by 32
PSAT1 impairs ferroptosis and reduces immunotherapy efficacy via GPX4 hydroxylation
Zheng, P., Hu, Z., Shen, Y., Gu, L., Ouyang, Y., Duan, Y., Ji, G., Dong, B., Lin, Y., Wen, T., et al. (2025) · Nature Chemical Biology · doi:10.1038/s41589-025-01887-3 · Cited by 31
Deregulated Metabolic Pathways in Ovarian Cancer: Cause and Consequence
Murali, R., Balasubramaniam, V., Srinivas, S., Sundaram, S., Venkatraman, G., Warrier, S. R., Dharmarajan, A., & Gandhirajan, R. K. (2023) · Metabolites · doi:10.3390/metabo13040560 · Cited by 34
Bridging the Gap in Understanding Bone Metastasis: A Multifaceted Perspective
Elaasser, B., Arakil, N., & Mohammad, K. S. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25052846 · Cited by 33
Amino acid metabolism in breast cancer: pathogenic drivers and therapeutic opportunities
Liu, Y., Zong, X., Altea‐Manzano, P., & Fu, J. (2025) · Protein & Cell · doi:10.1093/procel/pwaf011 · Cited by 32
Knock-down of PSAT1 Enhances Sensitivity of NSCLC Cells to Glutamine-limiting Conditions
Jin, H., Hong, S., Kim, J.-Y., Jang, S., KIM, Y.-S., Sim, J.-H., OH, A.-C., Kim, H., Hong, Y. J., Lee, J., et al. (2019) · Anticancer Research · doi:10.21873/anticanres.13887 · Cited by 30
Yin, K. (2015) · OncoTargets and Therapy · doi:10.2147/ott.s82433 · Cited by 30
Zhou, C., & Fang, J. (2018) · Critical Reviews in Microbiology · doi:10.1080/1040841x.2018.1425671 · Cited by 29
Aakko, S., Straume, A. H., Birkeland, E. E., Chen, P., Qiao, X., Lønning, P. E., & Kallio, M. J. (2018) · Translational Oncology · doi:10.1016/j.tranon.2018.10.001 · Cited by 30
Jekabsons, M. B., Merrell, M., Skubiz, A. G., Thornton, N., Milasta, S., Green, D. R., Chen, T., Wang, Y., Avula, B., Khan, I. A., et al. (2023) · Cancer & Metabolism · doi:10.1186/s40170-023-00303-5 · Cited by 29
Cancer metastasis: molecular mechanisms and therapeutic interventions
Dai, X., Xi, M., & Li, J. (2025) · Molecular Biomedicine · doi:10.1186/s43556-025-00261-y · Cited by 29
HIV-1 Envelope Protein gp120 Promotes Proliferation and the Activation of Glycolysis in Glioma Cell
Valentin-Guillama, G. A., Acevedo, S. N. L., Kucheryavykh, Y. V., Chorna, N., Pérez, J., Ortiz-Rivera, J., Inyushin, M. Y., Makarov, V. I., Valentín-Acevedo, A., Quiñones‐Hinojosa, A., et al. (2018) · Cancers · doi:10.3390/cancers10090301 · Cited by 28
Park, S., Seo, E.-H., Bae, D.-H., Kim, S. S., Kim, J., Lin, W., Kim, K., Park, J. B., Kim, S., Yin, J., et al. (2019) · PubMed Central · doi:10.14348/molcells.2019.0160 · Cited by 27
Zhang, J., Wang, E., Zhang, L., & Zhou, B. (2021) · Cell Biology International · doi:10.1002/cbin.11489 · Cited by 27
Spillier, Q., Ravez, S., Unterlass, J. E., Corbet, C., Degavre, C., Féron, O., & Frédérick, R. (2020) · Pharmaceuticals · doi:10.3390/ph13020020 · Cited by 27
Khan, A., Siddiqui, S. I., Husain, S. A., Mazurek, S., & Iqbal, M. A. (2021) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.1c01173 · Cited by 29
The peculiarities of cancer cell metabolism: A route to metastasization and a target for therapy
Carvalho, T. M. A., Cardoso, H. J., Figueira, M. I., Vaz, C. V., & Socorro, S. (2019) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2019.03.053 · Cited by 27
Juzeniene, A., Bernoulli, J., Suominen, M. I., Halleen, J. M., & Larsen, R. H. (2018) · Anticancer Research · doi:10.21873/anticanres.12432 · Cited by 26
Metabolism in the Tumour-Bone Microenvironment
Whitburn, J., & Edwards, C. M. (2021) · Current Osteoporosis Reports · doi:10.1007/s11914-021-00695-7 · Cited by 26
SHMT2 promotes papillary thyroid cancer metastasis through epigenetic activation of AKT signaling
Sun, M., Zhao, M., Li, R., Zhang, Y., Shi, X., Ding, C., Ma, C., Lu, J., & Yue, X. (2024) · Cell Death and Disease · doi:10.1038/s41419-024-06476-1 · Cited by 25
Randhawa, V., & Acharya, V. (2015) · BMC Medical Genomics · doi:10.1186/s12920-015-0114-0 · Cited by 24
Links between Serine Biosynthesis Pathway and Epigenetics in Cancer Metabolism
Kim, H., & Park, Y. J. (2018) · Clinical Nutrition Research · doi:10.7762/cnr.2018.7.3.153 · Cited by 25
Sun, C., Zhang, X., Chen, Y., Jia, Q., Yang, J., & Shu, Y. (2018) · Cancer Management and Research · doi:10.2147/cmar.s157858 · Cited by 24
Metabolic adaptations in cancer progression
Peng‐Winkler, Y., & Fendt, S. (2025) · Physiological Reviews · doi:10.1152/physrev.00037.2024 · Cited by 25
Montefusco, D. J., Newcomb, B., Gandy, J. L., Brice, S. E., Matmati, N., Cowart, L. A., & Hannun, Y. A. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m111.313445 · Cited by 23
Biyik‐Sit, R., Kruer, T. L., Dougherty, S. M., Bradley, J. A., Wilkey, D. W., Merchant, M. L., Trent, J. O., & Clem, B. F. (2021) · Cancers · doi:10.3390/cancers13163938 · Cited by 23
Metabolic landscape of disseminated cancer dormancy
Drápela, S., Garcia, B. M., Gomes, A. P., & Correia, A. L. (2024) · Trends in cancer · doi:10.1016/j.trecan.2024.10.005 · Cited by 24
Liao, L., Yu, H., Ge, M., Zhan, Q., Huang, R., Ji, X., Liang, X., & Zhou, X. (2019) · Thoracic Cancer · doi:10.1111/1759-7714.13064 · Cited by 22
Wang, X., Xiao-xia, Y., Peng-Fei, S., Zong-Xue, Z., & Xiu-li, G. (2022) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2022.175323 · Cited by 23
Metabolic crosstalk between stromal and malignant cells in the bone marrow niche
Tirado, H. A., Balasundaram, N., Laaouimir, L., Erdem, A., & van Gastel, N. (2023) · Bone Reports · doi:10.1016/j.bonr.2023.101669 · Cited by 25
Tandon, M., Othman, A. H., Winogradzki, M., & Pratap, J. (2021) · Gene · doi:10.1016/j.gene.2021.145419 · Cited by 22
Biochemical and Biophysical Characterization of Recombinant Human 3-Phosphoglycerate Dehydrogenase
Murtas, G., Marcone, G. L., Peracchi, A., Zangelmi, E., & Pollegioni, L. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22084231 · Cited by 21
Dietary serine supplementation: Friend or foe?
Jiang, J., Li, B., He, W., & Huang, C. (2021) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2021.08.011 · Cited by 21
Meyer, F., Engel, A. M., Krause, A. K., Wagner, T., Poole, L., Dubrovska, A., Peitzsch, C., Rothkamm, K., Petersen, C., & Borgmann, K. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.765284 · Cited by 21
Targeting the Metabolic Adaptation of Metastatic Cancer
Tarragó‐Celada, J., & Cascante, M. (2021) · Cancers · doi:10.3390/cancers13071641 · Cited by 19
Deng, Y., Ran, W., Man, S., Li, X., Gao, H., Tang, W., Tachibana, H., & Cheng, X. (2015) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.04758-14 · Cited by 20
Targeting mTOR in the Context of Diet and Whole-body Metabolism
Koundouros, N., & Blenis, J. (2022) · Endocrinology · doi:10.1210/endocr/bqac041 · Cited by 22
Vashisht, S., & Bagler, G. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049401 · Cited by 19
Modeling Spontaneous Bone Metastasis Formation of Solid Human Tumor Xenografts in Mice
Labitzky, V., Baranowsky, A., Maar, H., Hanika, S., Starzonek, S., Ahlers, A., Stübke, K., Koziolek, E. J., Heine, M., Schäfer, P., et al. (2020) · Cancers · doi:10.3390/cancers12020385 · Cited by 19
Metabolomic analysis of circulating tumor cells derived liver metastasis of colorectal cancer
Li, M., Wu, S., Zhuang, C., Shi, C., Gu, L., Wang, P., Guo, F., Wang, Y., & Liu, Z. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e12515 · Cited by 18
Metabolic control of cancer metastasis: role of amino acids at secondary organ sites
Karno, B. A., Edwards, D. N., & Chen, J. (2023) · Oncogene · doi:10.1038/s41388-023-02868-3 · Cited by 18
Emerging Biomarkers in Breast Cancer Care
Napieralski, R., Brünner, N., Mengele, K., & Schmitt, M. (2010) · Biomarkers in Medicine · doi:10.2217/bmm.10.73 · Cited by 19
Crystal structures and snapshots along the reaction pathway of human phosphoserine phosphatase
Haufroid, M., Mirgaux, M., Leherte, L., & Wouters, J. (2019) · Acta Crystallographica Section D Structural Biology · doi:10.1107/s2059798319006867 · Cited by 17
Chai, X., Tao, Q., & Li, L. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26146901 · Cited by 18
Cancer dormancy and metabolism: From molecular insights to translational opportunities
Wang, Y., Liu, L., Zhang, X., Liang, T., & Bai, X. (2025) · Cancer Letters · doi:10.1016/j.canlet.2025.218097 · Cited by 19
1H-NMR-based metabolic profiling of a colorectal cancer CT-26 lung metastasis model in mice
Li, Y., Wang, C., Li, D., Deng, P., Shao, X., Hu, J., Liu, C., Jie, H., Lin, Y., Li, Z., et al. (2017) · Oncology Reports · doi:10.3892/or.2017.5954 · Cited by 16
Dill, C. D., Dammer, E. B., Griffen, T. L., Seyfried, N. T., & Lillard, J. W. (2021) · iScience · doi:10.1016/j.isci.2021.102451 · Cited by 16
Huang, M.-Y., Liu, X.-Y., Shao, Q., Zhang, X., Miao, L., Wu, X.-Y., Xu, Y.-X., Wang, F., Wang, H.-Y., Zeng, L., et al. (2022) · BMC Gastroenterology · doi:10.1186/s12876-021-02073-0 · Cited by 15
Amino acid metabolism in primary bone sarcomas
Jiménez, J. A., Lawlor, E. R., & Lyssiotis, C. A. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.1001318 · Cited by 15
Metabolic requirements of the metastatic cascade
Drápela, S., & Gomes, A. P. (2021) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2021.100381 · Cited by 17
Gucht, M. V. D., Dufait, I., Kerkhove, L., Corbet, C., de Mey, S., Jiang, H., Ka, L. L., Gevaert, T., Féron, O., & Ridder, M. D. (2022) · Cancers · doi:10.3390/cancers14205060 · Cited by 15
Tseng, C.-Y., Fu, Y.-H., Ou, D., Lu, J., Hou, H., & Lin, L. (2023) · Cancer Gene Therapy · doi:10.1038/s41417-023-00675-2 · Cited by 14
Spillier, Q., Ravez, S., Dochain, S., Vertommen, D., Thabault, L., Féron, O., & Frédérick, R. (2021) · Molecules · doi:10.3390/molecules26020477 · Cited by 14
Flores‐Tornero, M., Anoman, A. D., Rosa‐Téllez, S., & Ros, R. (2015) · Plant Science · doi:10.1016/j.plantsci.2015.03.001 · Cited by 14
The enzymes of serine synthesis pathway in cancer metastasis
Li, L., Qin, Y., & Chen, Y. (2024) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2024.119697 · Cited by 13
Serine metabolism in tumor progression and immunotherapy
Huang, D., Cai, H., & Huang, H. (2025) · Discover Oncology · doi:10.1007/s12672-025-02358-w · Cited by 13
Bartkowiak, K., Heidrich, I., Kwiatkowski, M., Gorges, T. M., Andreas, A., Geffken, M., Verpoort, K., Müller, V., Schlüter, H., & Pantel, K. (2021) · Cancers · doi:10.3390/cancers13030563 · Cited by 14
Structural basis of L -phosphoserine binding toBacillus alcalophilusphosphoserine aminotransferase
Battula, P., Dubnovitsky, A. P., & Papageorgiou, A. C. (2013) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444913002096 · Cited by 13
Increased PHGDH expression promotes aberrant melanin accumulation
Mattaini, K. R., Sullivan, M. R., Lau, A. N., Fiske, B. P., Bronson, R. T., & Heiden, M. G. V. (2019) · BMC Cancer · doi:10.1186/s12885-019-5933-5 · Cited by 14
Li, H., Li, X., Ran, X., Zhang, X., Jin, T., & Zhang, H. (2024) · FEBS Journal · doi:10.1111/febs.17080 · Cited by 12
Ye, J., Huang, X., Tian, S., Wang, J., Wang, H., Feng, H., Zhao, X., Cao, S., Xuan, Y., Li, X., et al. (2024) · Experimental Cell Research · doi:10.1016/j.yexcr.2024.113977 · Cited by 11
Screening of prognostic biomarkers for endometrial carcinoma based on a ceRNA network
Zheng, M., Gou, R., Zhang, W., Nie, X., Wang, J., Gao, L., Liu, J., Li, X., & Lin, B. (2018) · PeerJ · doi:10.7717/peerj.6091 · Cited by 11
Proteomic screening and identification of microRNA‐128 targets in glioma cells
Yang, B., Wang, S., Zeng, J., Zhang, Y., Ruan, X., Han, W., Yin, B., Yuan, J., Qiang, B., Ying, W., et al. (2015) · PROTEOMICS · doi:10.1002/pmic.201400128 · Cited by 11
Glucose metabolism in B cell malignancies: a focus on glycolysis branching pathways
Simon‐Molas, H., Prete, R. D., & Kabanova, A. (2023) · Molecular Oncology · doi:10.1002/1878-0261.13570 · Cited by 10
Human Metabolic Network: Reconstruction, Simulation, and Applications in Systems Biology
Wu, M., & Chan, C. (2012) · Metabolites · doi:10.3390/metabo2010242 · Cited by 10
Santos, J. R., Waitzberg, D. L., da Silva, I. D. C. G., Tortelli, T. C., Barros, L. R. C., Canuto, G. A. B., Faccio, A. T., Yamaguchi, L. F., Kato, M. J., Tavares, M. F. M., et al. (2020) · Oncotarget · doi:10.18632/oncotarget.27575 · Cited by 9
The Role of Amino Acids in the Diagnosis, Risk Assessment, and Treatment of Breast Cancer: A Review
Bel’skaya, L. V., Gundyrev, I. A., & Solomatin, D. V. (2023) · Current Issues in Molecular Biology · doi:10.3390/cimb45090474 · Cited by 12
Phenotypic plasticity – Implications for tumours in bone
Han, Y., & Kang, Y. (2024) · Journal of bone oncology · doi:10.1016/j.jbo.2024.100592 · Cited by 8
Bartkowiak, K., Mohammadi, P. M., Gärtner, S., Kwiatkowski, M., Andreas, A., Geffken, M., Peine, S., Verpoort, K., Scholz, U., Deutsch, T. M., et al. (2023) · Journal of Proteome Research · doi:10.1021/acs.jproteome.2c00739 · Cited by 8
Li, X., Wang, S., Nie, X., Hu, Y., Liu, O., Wang, Y., & Lin, B. (2025) · International Journal of Molecular Medicine · doi:10.3892/ijmm.2025.5529 · Cited by 7
Prediction of therapeutic microRNA based on the human metabolic network
Wu, M., & Chan, C. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt751 · Cited by 7
Kanou, A., Nishimura, S., Tabuchi, T., Matsuyama, A., Yoshida, M., Kato, T., & Kakeya, H. (2020) · The Journal of Antibiotics · doi:10.1038/s41429-020-0305-6 · Cited by 7
He, Q., Zhang, N., Liang, Q., Wang, Z., Chen, P., Song, Y., Zhou, Z., Wei, Y., Duan, Y., Wang, B., et al. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.946277 · Cited by 6
Metadata
- Authors
- Pollari, S., Käkönen, S.-M., Edgren, H., Wolf, M., Kohonen, P., Sara, H., Guise, T., Nees, M., & Kallioniemi, O.
- Affiliations
- Turku Centre for Biotechnology (FI)
- University of Turku (FI)
- University of Helsinki (FI)
- Indiana University Indianapolis (US)
- Corresponding author
- Pollari, Sirkku
- ORCID
- Venue
- Breast Cancer Research and Treatment
- Published
- 2010-03-30
- Volume
- 125
- Issue
- 2
- Pages
- 421-430
- ISSN
- 0167-6806 (ISSN-L)
- 1573-7217
- OpenAlex
- W2014460958
- Cited by
- 269
- References
- 27
- Citations by year
- 2026: 6 · 2025: 16 · 2024: 18 · 2023: 17 · 2022: 23 · 2021: 25 · 2020: 21 · 2019: 22 · 2018: 21 · 2017: 15 · 2016: 12 · 2015: 16 · 2014: 10 · 2013: 11 · 2012: 18
- FWCI
- 4.73
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Breast Cancer Research and Treatment (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion, other-oa)
- Työväentutkimus Vuosikirja (submittedVersion, other-oa)
- Trinity's Access to Research Output (TARA) (Trinity College Dublin) (submittedVersion)
- Funders
- National Cancer Institute (R01CA069158, R01 CA 69158)
- 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 › Molecular Biology › Bone Metabolism and Diseases
- Keywords
- serine biosynthesis, breast cancer bone metastasis, osteoclastogenesis, L-serine, PHGDH, PSAT1, phosphoserine phosphatase, osteolytic bone metastasis, tumor cell proliferation, gene expression profiling, patient survival
- MeSH terms
- Transaminases, Animals, Bone Neoplasms, Bone Resorption, Breast Neoplasms, Cell Differentiation, Female, Humans, Mammary Neoplasms, Experimental, Neoplasm Transplantation, Osteoclasts, Phosphoric Monoester Hydrolases, Serine, Blotting, Western, Survival Rate, Polymerase Chain Reaction, Gene Expression Profiling, RNA, Small Interfering, 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