Elevated osteonectin/SPARC expression in primary prostate cancer predicts metastatic progression

  • DeRosa C
  • Furusato B
  • Shaheduzzaman S
 et al. 
  • 32


    Mendeley users who have this article in their library.
  • 26


    Citations of this article.


BACKGROUND: The majority of prostate cancers (CaP) are detected in early stages with uncertain prognosis. Therefore, an intensive effort is underway to define early predictive markers of CaP with aggressive progression characteristics.

METHODS: In order to define such prognostic markers, we performed comparative analyses of transcriptomes of well- and poorly differentiated (PD) tumor cells from primary tumors of patients (N=40) with 78 months of mean follow-up after radical prostatectomy. Validation experiments were carried out at transcript level by quantitative real-time reverse transcriptase-PCR (RT-PCR) (N=110) and at protein level by immunohistochemistry (N=53) in primary tumors from an independent patient cohort.

RESULTS: Association of a biochemical network of 12 genes with SPARC gene as a central node was highlighted with PD phenotype. Of note, there was remarkable enrichment of NKXH_NKXH_HOX composite regulatory elements in the promoter of the genes in this network suggesting a biological significance of this gene-expression regulatory mechanism in CaP progression. Further, quantitative expression analyses of SPARC mRNA in primary prostate tumor cells of 110 patients validated the association of SPARC expression with poor differentiation and higher Gleason score. Most significantly, higher SPARC protein expression at the time of prostatectomy was associated with the subsequent development of metastasis (P=0.0006, AUC=0.803).

CONCLUSIONS: In summary, we propose that evaluation of SPARC in primary CaP has potential as a prognostic marker of metastatic progression.

Author-supplied keywords

  • Gene expression
  • Metastasis
  • Osteonectin/SPARC
  • Prognostic marker

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document


  • C. A. DeRosa

  • B. Furusato

  • S. Shaheduzzaman

  • V. Srikantan

  • Z. Wang

  • Y. Chen

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free