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Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression

Author

Listed:
  • Arun Sreekumar

    (The Michigan Center for Translational Pathology,
    Center for Computational Medicine and Biology,
    Department of Pathology,
    The Comprehensive Cancer Center,)

  • Laila M. Poisson

    (Department of Biostatistics,)

  • Thekkelnaycke M. Rajendiran

    (The Michigan Center for Translational Pathology,
    Department of Pathology,)

  • Amjad P. Khan

    (The Michigan Center for Translational Pathology,
    Department of Pathology,)

  • Qi Cao

    (The Michigan Center for Translational Pathology,
    Department of Pathology,)

  • Jindan Yu

    (The Michigan Center for Translational Pathology,
    Department of Pathology,)

  • Bharathi Laxman

    (The Michigan Center for Translational Pathology,
    Department of Pathology,)

  • Rohit Mehra

    (The Michigan Center for Translational Pathology,
    Department of Pathology,)

  • Robert J. Lonigro

    (The Michigan Center for Translational Pathology,
    The Comprehensive Cancer Center,)

  • Yong Li

    (The Michigan Center for Translational Pathology,
    Department of Pathology,)

  • Mukesh K. Nyati

    (The Comprehensive Cancer Center,
    Department of Radiation Oncology,)

  • Aarif Ahsan

    (Department of Radiation Oncology,)

  • Shanker Kalyana-Sundaram

    (The Michigan Center for Translational Pathology,
    Department of Pathology,)

  • Bo Han

    (The Michigan Center for Translational Pathology,
    Department of Pathology,)

  • Xuhong Cao

    (The Michigan Center for Translational Pathology,
    Department of Pathology,)

  • Jaeman Byun

    (Department of Internal Medicine,)

  • Gilbert S. Omenn

    (Center for Computational Medicine and Biology,
    Department of Internal Medicine,
    Department of Human Genetics,)

  • Debashis Ghosh

    (The Comprehensive Cancer Center,
    Department of Biostatistics,
    Penn State University, Pennsylvania 16802, USA)

  • Subramaniam Pennathur

    (Center for Computational Medicine and Biology,
    The Comprehensive Cancer Center,
    Department of Internal Medicine,)

  • Danny C. Alexander

    (Metabolon, Inc. 800 Capitola Drive, Suite 1 Durham, North Carolina 27713, USA)

  • Alvin Berger

    (Metabolon, Inc. 800 Capitola Drive, Suite 1 Durham, North Carolina 27713, USA)

  • Jeffrey R. Shuster

    (Metabolon, Inc. 800 Capitola Drive, Suite 1 Durham, North Carolina 27713, USA)

  • John T. Wei

    (The Comprehensive Cancer Center,
    Department of Urology,)

  • Sooryanarayana Varambally

    (The Michigan Center for Translational Pathology,
    Department of Pathology,
    The Comprehensive Cancer Center,)

  • Christopher Beecher

    (The Michigan Center for Translational Pathology,
    Center for Computational Medicine and Biology,
    Department of Pathology,)

  • Arul M. Chinnaiyan

    (The Michigan Center for Translational Pathology,
    Center for Computational Medicine and Biology,
    Department of Pathology,
    The Comprehensive Cancer Center,)

Abstract

A prostate cancer marker A systematic analysis of metabolites in prostate cancer samples has led to the discovery that sarcosine, an amino acid common in many biological tissues including muscle, is highly elevated in aggressive prostate cancers and detectable in the urine of men with prostate cancer. This makes sarcosine a candidate biomarker for prostate cancer diagnosis. Targeted knockdown of the enzyme that generates sarcosine from glycine attenuated prostate cell invasion in mice, pointing to a possible role in metastasis, and adding the sarcosine pathway to the list of possible therapeutic targets.

Suggested Citation

  • Arun Sreekumar & Laila M. Poisson & Thekkelnaycke M. Rajendiran & Amjad P. Khan & Qi Cao & Jindan Yu & Bharathi Laxman & Rohit Mehra & Robert J. Lonigro & Yong Li & Mukesh K. Nyati & Aarif Ahsan & Sha, 2009. "Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression," Nature, Nature, vol. 457(7231), pages 910-914, February.
    • Handle: RePEc:nat:nature:v:457:y:2009:i:7231:d:10.1038_nature07762
    DOI: 10.1038/nature07762
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    Citations

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    Cited by:

    1. Shin Nishiumi & Takashi Kobayashi & Atsuki Ikeda & Tomoo Yoshie & Megumi Kibi & Yoshihiro Izumi & Tatsuya Okuno & Nobuhide Hayashi & Seiji Kawano & Tadaomi Takenawa & Takeshi Azuma & Masaru Yoshida, 2012. "A Novel Serum Metabolomics-Based Diagnostic Approach for Colorectal Cancer," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-10, July.
    2. Victoria Shalabaeva & Laura Lovato & Rosanna La Rocca & Gabriele C Messina & Michele Dipalo & Ermanno Miele & Michela Perrone & Francesco Gentile & Francesco De Angelis, 2017. "Time resolved and label free monitoring of extracellular metabolites by surface enhanced Raman spectroscopy," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-16, April.
    3. André Schultz & Amina A Qutub, 2016. "Reconstruction of Tissue-Specific Metabolic Networks Using CORDA," PLOS Computational Biology, Public Library of Science, vol. 12(3), pages 1-33, March.
    4. Tanzeela Khalid & Raphael Aggio & Paul White & Ben De Lacy Costello & Raj Persad & Huda Al-Kateb & Peter Jones & Chris S Probert & Norman Ratcliffe, 2015. "Urinary Volatile Organic Compounds for the Detection of Prostate Cancer," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-15, November.
    5. Evagelia C Laiakis & Gerard A J Morris & Albert J Fornace Jr & Stephen R C Howie, 2010. "Metabolomic Analysis in Severe Childhood Pneumonia in The Gambia, West Africa: Findings from a Pilot Study," PLOS ONE, Public Library of Science, vol. 5(9), pages 1-9, September.
    6. Rachel Cavill & Atanas Kamburov & James K Ellis & Toby J Athersuch & Marcus S C Blagrove & Ralf Herwig & Timothy M D Ebbels & Hector C Keun, 2011. "Consensus-Phenotype Integration of Transcriptomic and Metabolomic Data Implies a Role for Metabolism in the Chemosensitivity of Tumour Cells," PLOS Computational Biology, Public Library of Science, vol. 7(3), pages 1-12, March.
    7. Rachel G Khadaroo & Thomas A Churchill & Victor Tso & Karen L Madsen & Chris Lukowski & Saad Y Salim, 2017. "Metabolomic profiling to characterize acute intestinal ischemia/reperfusion injury," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-15, June.

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