Serum methionine metabolites are risk factors for metastatic prostate cancer progression

PLoS One. 2011;6(8):e22486. doi: 10.1371/journal.pone.0022486. Epub 2011 Aug 10.

Abstract

Background: Clinical decision for primary treatment for prostate cancer is dictated by variables with insufficient specificity. Early detection of prostate cancer likely to develop rapid recurrence could support neo-adjuvant therapeutics and adjuvant options prior to frank biochemical recurrence. This study compared markers in serum and urine of patients with rapidly recurrent prostate cancer to recurrence-free patients after radical prostatectomy. Based on previous identification of urinary sarcosine as a metastatic marker, we tested whether methionine metabolites in urine and serum could serve as pre-surgical markers for aggressive disease.

Methodology/principal findings: Urine and serum samples (n = 54 and 58, respectively), collected at the time of prostatectomy were divided into subjects who developed biochemical recurrence within 2 years and those who remained recurrence-free after 5 years. Multiple methionine metabolites were measured in urine and serum by GC-MS. The role of serum metabolites and clinical variables (biopsy Gleason grade, clinical stage, serum prostate specific antigen [PSA]) on biochemical recurrence prediction were evaluated. Urinary sarcosine and cysteine levels were significantly higher (p = 0.03 and p = 0.007 respectively) in the recurrent group. However, in serum, concentrations of homocysteine (p = 0.003), cystathionine (p = 0.007) and cysteine (p<0.001) were more abundant in the recurrent population. The inclusion of serum cysteine to a model with PSA and biopsy Gleason grade improved prediction over the clinical variables alone (p<0.001).

Conclusions: Higher serum homocysteine, cystathionine, and cysteine concentrations independently predicted risk of early biochemical recurrence and aggressiveness of disease in a nested case control study. The methionine metabolites further supplemented known clinical variables to provide superior sensitivity and specificity in multivariable prediction models for rapid biochemical recurrence following prostatectomy.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers, Tumor / blood
  • Biomarkers, Tumor / urine
  • Disease Progression*
  • Humans
  • Kaplan-Meier Estimate
  • Logistic Models
  • Male
  • Methionine / blood*
  • Middle Aged
  • Neoplasm Metastasis
  • Proportional Hazards Models
  • Prostatic Neoplasms / blood*
  • Prostatic Neoplasms / pathology*
  • Prostatic Neoplasms / surgery
  • Prostatic Neoplasms / urine
  • ROC Curve
  • Recurrence
  • Risk Factors

Substances

  • Biomarkers, Tumor
  • Methionine