International Journal of Clinical Urology

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Preliminary Metabolomic Study of Urine Samples in Patients Affected by Renal Clear Cell Cancer by GC-MS

Received: 17 May 2018    Accepted: 12 June 2018    Published: 06 July 2018
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Abstract

Renal cell carcinoma (RCC) represent 2-3% of all cancers. Currently, there are no invasive screening tests that could help to find diagnosis and possible follow up in clinical practice. Most renal tumors are diagnosed by abdominal ultrasound (US) or contrast-enhanced (CT) performed for other medical reasons. In this work, the metabolite profile of urine of RCC samples, has been studied by gas chromatography coupled to mass spectrometry (GC-MS) and multivariate statistical data analysis. By the same means, differences between pathological and control samples were investigated. Results of discriminant analysis were studied with the aim to find possible relevant metabolites for each class. Palmitic acid, malic acid, allo-inositol, oleic acid and aspartic acid were up-regulated in pathological samples while psicose was down-regulated.

DOI 10.11648/j.ijcu.20180201.11
Published in International Journal of Clinical Urology (Volume 2, Issue 1, June 2018)
Page(s) 1-5
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Inositol, Aspartic Acid, GC-MS, Renal Cell Cancer

References
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Author Information
  • Department of Surgical, Microsurgical and Medical Sciences, University of Sassari, Sassari, Italy

  • Department of Life and Environmental Sciences, University of Cagliari, Cagliari, Italy; Department of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK

  • Department of Surgical, Microsurgical and Medical Sciences, University of Sassari, Sassari, Italy

  • Department of Surgical, Microsurgical and Medical Sciences, University of Sassari, Sassari, Italy

  • Department of Life and Environmental Sciences, University of Cagliari, Cagliari, Italy

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    Massimo Madonia, Antonio Murgia, Gianmarco Garau, Bruno Bussa, Pierluigi Caboni. (2018). Preliminary Metabolomic Study of Urine Samples in Patients Affected by Renal Clear Cell Cancer by GC-MS. International Journal of Clinical Urology, 2(1), 1-5. https://doi.org/10.11648/j.ijcu.20180201.11

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    ACS Style

    Massimo Madonia; Antonio Murgia; Gianmarco Garau; Bruno Bussa; Pierluigi Caboni. Preliminary Metabolomic Study of Urine Samples in Patients Affected by Renal Clear Cell Cancer by GC-MS. Int. J. Clin. Urol. 2018, 2(1), 1-5. doi: 10.11648/j.ijcu.20180201.11

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    AMA Style

    Massimo Madonia, Antonio Murgia, Gianmarco Garau, Bruno Bussa, Pierluigi Caboni. Preliminary Metabolomic Study of Urine Samples in Patients Affected by Renal Clear Cell Cancer by GC-MS. Int J Clin Urol. 2018;2(1):1-5. doi: 10.11648/j.ijcu.20180201.11

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  • @article{10.11648/j.ijcu.20180201.11,
      author = {Massimo Madonia and Antonio Murgia and Gianmarco Garau and Bruno Bussa and Pierluigi Caboni},
      title = {Preliminary Metabolomic Study of Urine Samples in Patients Affected by Renal Clear Cell Cancer by GC-MS},
      journal = {International Journal of Clinical Urology},
      volume = {2},
      number = {1},
      pages = {1-5},
      doi = {10.11648/j.ijcu.20180201.11},
      url = {https://doi.org/10.11648/j.ijcu.20180201.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijcu.20180201.11},
      abstract = {Renal cell carcinoma (RCC) represent 2-3% of all cancers. Currently, there are no invasive screening tests that could help to find diagnosis and possible follow up in clinical practice. Most renal tumors are diagnosed by abdominal ultrasound (US) or contrast-enhanced (CT) performed for other medical reasons. In this work, the metabolite profile of urine of RCC samples, has been studied by gas chromatography coupled to mass spectrometry (GC-MS) and multivariate statistical data analysis. By the same means, differences between pathological and control samples were investigated. Results of discriminant analysis were studied with the aim to find possible relevant metabolites for each class. Palmitic acid, malic acid, allo-inositol, oleic acid and aspartic acid were up-regulated in pathological samples while psicose was down-regulated.},
     year = {2018}
    }
    

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    T1  - Preliminary Metabolomic Study of Urine Samples in Patients Affected by Renal Clear Cell Cancer by GC-MS
    AU  - Massimo Madonia
    AU  - Antonio Murgia
    AU  - Gianmarco Garau
    AU  - Bruno Bussa
    AU  - Pierluigi Caboni
    Y1  - 2018/07/06
    PY  - 2018
    N1  - https://doi.org/10.11648/j.ijcu.20180201.11
    DO  - 10.11648/j.ijcu.20180201.11
    T2  - International Journal of Clinical Urology
    JF  - International Journal of Clinical Urology
    JO  - International Journal of Clinical Urology
    SP  - 1
    EP  - 5
    PB  - Science Publishing Group
    SN  - 2640-1355
    UR  - https://doi.org/10.11648/j.ijcu.20180201.11
    AB  - Renal cell carcinoma (RCC) represent 2-3% of all cancers. Currently, there are no invasive screening tests that could help to find diagnosis and possible follow up in clinical practice. Most renal tumors are diagnosed by abdominal ultrasound (US) or contrast-enhanced (CT) performed for other medical reasons. In this work, the metabolite profile of urine of RCC samples, has been studied by gas chromatography coupled to mass spectrometry (GC-MS) and multivariate statistical data analysis. By the same means, differences between pathological and control samples were investigated. Results of discriminant analysis were studied with the aim to find possible relevant metabolites for each class. Palmitic acid, malic acid, allo-inositol, oleic acid and aspartic acid were up-regulated in pathological samples while psicose was down-regulated.
    VL  - 2
    IS  - 1
    ER  - 

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