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ABSTRACT Multiple, complex molecular events characterize cancer development and progression1,2. Deciphering the molecular networks that distinguish organ-confined disease from metastatic
disease may lead to the identification of critical biomarkers for cancer invasion and disease aggressiveness. Although gene and protein expression have been extensively profiled in human
tumours, little is known about the global metabolomic alterations that characterize neoplastic progression. Using a combination of high-throughput liquid-and-gas-chromatography-based mass
spectrometry, we profiled more than 1,126 metabolites across 262 clinical samples related to prostate cancer (42 tissues and 110 each of urine and plasma). These unbiased metabolomic
profiles were able to distinguish benign prostate, clinically localized prostate cancer and metastatic disease. Sarcosine, an _N_-methyl derivative of the amino acid glycine, was identified
as a differential metabolite that was highly increased during prostate cancer progression to metastasis and can be detected non-invasively in urine. Sarcosine levels were also increased in
invasive prostate cancer cell lines relative to benign prostate epithelial cells. Knockdown of glycine-_N_-methyl transferase, the enzyme that generates sarcosine from glycine, attenuated
prostate cancer invasion. Addition of exogenous sarcosine or knockdown of the enzyme that leads to sarcosine degradation, sarcosine dehydrogenase, induced an invasive phenotype in benign
prostate epithelial cells. Androgen receptor and the ERG gene fusion product coordinately regulate components of the sarcosine pathway. Here, by profiling the metabolomic alterations of
prostate cancer progression, we reveal sarcosine as a potentially important metabolic intermediary of cancer cell invasion and aggressivity. Access through your institution Buy or subscribe
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INTEGRATIVE PROTEOGENOMIC PROFILING OF HIGH-RISK PROSTATE CANCER SAMPLES FROM CHINESE PATIENTS INDICATES METABOLIC VULNERABILITIES AND DIAGNOSTIC BIOMARKERS Article 06 September 2024 SOX2
MEDIATES METABOLIC REPROGRAMMING OF PROSTATE CANCER CELLS Article 24 January 2022 PI3K-REGULATED GLYCINE N-METHYLTRANSFERASE IS REQUIRED FOR THE DEVELOPMENT OF PROSTATE CANCER Article Open
access 23 February 2022 CHANGE HISTORY * _ 05 JUNE 2013 Nature 457, 910–914 (2009); doi:10.1038/nature07762 In Fig. 4b of this Article, a typographical error was made in reporting sarcosine
levels in the DU145 cell line represented. The y axis values should be in the scale of 0–50 pmoles per 106 cells, rather than 0–500 pmoles per 106 cells. This error has been verified and
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Download references ACKNOWLEDGEMENTS We thank J. Granger for help in manuscript preparation, J. Siddiqui and R. Varambally for help with the clinical database, and A. Vellaichamy and S.
Pullela for technical assistance. We thank K. Pienta for access to metastatic prostate cancer samples from the University of Michigan Prostate SPORE rapid autopsy programme. This work is
supported in part by the Early Detection Research Network (A.M.C., J.T.W.), National Institutes of Health (A.S., S.P., J.B., T.M.R., D.G., G.S.O. and A.M.C.) and an MTTC grant (G.S.O. and
A.S.). A.M.C. is supported by a Clinical Translational Science Award from the Burroughs Welcome Foundation. A.S. is supported by a grant from the Fund for Discovery of the University of
Michigan Comprehensive Cancer Center. L.M.P. is supported by the University of Michigan Cancer Biostatistics Training Grant. A.M.C and S.P. are supported by the Doris Duke Charitable
Foundation. AUTHOR CONTRIBUTIONS A.S., L.M.P. and A.M.C. wrote the manuscript. A.S. and A.M.C. conceptualized, designed and interpreted the data. L.M.P., R.J.L., S.K.-S., D.G. and D.C.A.
performed data analysis. T.M.R., G.S.O., J.B. S.P., J.R.S., A.B. and C.B. carried out the mass spectrometry studies. A.P.K., J.Y., Q.C., B.L., Y.L., M.K.N., A.A., X.C. and S.V. performed
biochemical experiments. R.M., B.H., A.M.C. and J.T.W. coordinated the clinical and pathology components of the study. AUTHOR INFORMATION Author notes * Laila M. Poisson, Thekkelnaycke M.
Rajendiran and Amjad P. Khan: These authors contributed equally to this work. AUTHORS AND AFFILIATIONS * The Michigan Center for Translational Pathology,, Arun Sreekumar, Thekkelnaycke M.
Rajendiran, Amjad P. Khan, Qi Cao, Jindan Yu, Bharathi Laxman, Rohit Mehra, Robert J. Lonigro, Yong Li, Shanker Kalyana-Sundaram, Bo Han, Xuhong Cao, Sooryanarayana Varambally, Christopher
Beecher & Arul M. Chinnaiyan * Center for Computational Medicine and Biology,, Arun Sreekumar, Gilbert S. Omenn, Subramaniam Pennathur, Christopher Beecher & Arul M. Chinnaiyan *
Department of Pathology,, Arun Sreekumar, Thekkelnaycke M. Rajendiran, Amjad P. Khan, Qi Cao, Jindan Yu, Bharathi Laxman, Rohit Mehra, Yong Li, Shanker Kalyana-Sundaram, Bo Han, Xuhong Cao,
Sooryanarayana Varambally, Christopher Beecher & Arul M. Chinnaiyan * The Comprehensive Cancer Center,, Arun Sreekumar, Robert J. Lonigro, Mukesh K. Nyati, Debashis Ghosh, Subramaniam
Pennathur, John T. Wei, Sooryanarayana Varambally & Arul M. Chinnaiyan * Department of Biostatistics,, Laila M. Poisson & Debashis Ghosh * Department of Radiation Oncology,, Mukesh
K. Nyati & Aarif Ahsan * Department of Internal Medicine,, Jaeman Byun, Gilbert S. Omenn & Subramaniam Pennathur * Department of Human Genetics,, Gilbert S. Omenn * Department of
Urology,, John T. Wei & Arul M. Chinnaiyan * Howard Hughes Medical Institute, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA , Arul M. Chinnaiyan * Department of
Statistics and Huck Institute of Life Sciences, Penn State University, Pennsylvania 16802, USA, Debashis Ghosh * Metabolon, Inc. 800 Capitola Drive, Suite 1 Durham, North Carolina 27713, USA
, Danny C. Alexander, Alvin Berger & Jeffrey R. Shuster Authors * Arun Sreekumar View author publications You can also search for this author inPubMed Google Scholar * Laila M. Poisson
View author publications You can also search for this author inPubMed Google Scholar * Thekkelnaycke M. Rajendiran View author publications You can also search for this author inPubMed
Google Scholar * Amjad P. Khan View author publications You can also search for this author inPubMed Google Scholar * Qi Cao View author publications You can also search for this author
inPubMed Google Scholar * Jindan Yu View author publications You can also search for this author inPubMed Google Scholar * Bharathi Laxman View author publications You can also search for
this author inPubMed Google Scholar * Rohit Mehra View author publications You can also search for this author inPubMed Google Scholar * Robert J. Lonigro View author publications You can
also search for this author inPubMed Google Scholar * Yong Li View author publications You can also search for this author inPubMed Google Scholar * Mukesh K. Nyati View author publications
You can also search for this author inPubMed Google Scholar * Aarif Ahsan View author publications You can also search for this author inPubMed Google Scholar * Shanker Kalyana-Sundaram View
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View author publications You can also search for this author inPubMed Google Scholar * Jaeman Byun View author publications You can also search for this author inPubMed Google Scholar *
Gilbert S. Omenn View author publications You can also search for this author inPubMed Google Scholar * Debashis Ghosh View author publications You can also search for this author inPubMed
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Arul M. Chinnaiyan View author publications You can also search for this author inPubMed Google Scholar CORRESPONDING AUTHOR Correspondence to Arul M. Chinnaiyan. ETHICS DECLARATIONS
COMPETING INTERESTS C.B. was previously an employee of Metabolon. C.B., D.C.A., J.R.S. and A.B. own equity in Metabolon. A.M.C. joined the Scientific Advisory Board of Metabolon in July
2008. The University of Michigan has licensed the diagnostic field of use of the metabolomic biomarkers discussed in this manuscript to Metabolon (A.M.C. and A.S. are named as inventors).
SUPPLEMENTARY INFORMATION SUPPLEMENTARY INFORMATION This file contains Supplementary Methods, a Supplementary Discussion, Supplementary References and Supplementary Tables 1-10 (PDF 540 kb)
SUPPLEMENTARY FIGURES This files contains Supplementary Figures 1-26 with Legends (PDF 1648 kb) POWERPOINT SLIDES POWERPOINT SLIDE FOR FIG. 1 POWERPOINT SLIDE FOR FIG. 2 POWERPOINT SLIDE FOR
FIG. 3 POWERPOINT SLIDE FOR FIG. 4 RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Sreekumar, A., Poisson, L., Rajendiran, T. _et al._ Metabolomic
profiles delineate potential role for sarcosine in prostate cancer progression. _Nature_ 457, 910–914 (2009). https://doi.org/10.1038/nature07762 Download citation * Received: 09 October
2008 * Accepted: 06 January 2009 * Published: 01 February 2009 * Issue Date: 12 February 2009 * DOI: https://doi.org/10.1038/nature07762 SHARE THIS ARTICLE Anyone you share the following
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