PURPOSE: To evaluate whether selected high-risk matrix metalloproteinase-7 single nucleotide polymorphisms influence clinicopathologic outcomes in patients with early-stage prostate cancer. METHODS AND MATERIALS: Two hundred twelve prostate cancer patients treated with radical prostatectomy were evaluated with a median follow-up of 9.8 years. Genotyping was performed using hybridization with custom-designed allele-specific probes. Three single nucleotide polymorphisms within the matrix metalloproteinase-7 gene were assessed with respect to age at diagnosis, margin status, extracapsular extension, lymph node involvement, recurrence-free survival, and overall survival in paraffin-embedded prostate tissue specimens from patients with early-stage prostate cancer who underwent radical prostatectomy. RESULTS: Rs10895304 was the sole significant polymorphism. The A/G genotype of rs10895304 had a statistically significant association with recurrence-free survival in postprostatectomy patients (p = 0.0061, log-rank test). The frequency of the risk-reducing genotype (A/A) was 74%, whereas that of the risk-enhancing genotypes (A/G and G/G) were 20% and 6%, respectively. Multivariable Cox regression analyses detected a significant association between rs10895304 and recurrences after adjustment for known prognostic factors. The G allele of this polymorphism was associated with increased risk of prostate cancer recurrence (adjusted hazards ratio, 3.375; 95% confidence interval 1.567-7.269; p < 0.001). The other assayed polymorphisms were not significant, and no correlations were made to other clinical variables. CONCLUSIONS: The A/G genotype of rs10895304 is predictive of decreased recurrence-free survival in patients with clinically localized prostate cancer. Our data suggest that for this subset of patients, prostatectomy alone may not be adequate for local control. This is a novel and relevant marker that should be evaluated for improved risk stratification of patients who may be candidates for adjuvant radiation therapy to improve local control.
PURPOSE: To evaluate whether selected high-risk matrix metalloproteinase-7 single nucleotide polymorphisms influence clinicopathologic outcomes in patients with early-stage prostate cancer. METHODS AND MATERIALS: Two hundred twelve prostate cancerpatients treated with radical prostatectomy were evaluated with a median follow-up of 9.8 years. Genotyping was performed using hybridization with custom-designed allele-specific probes. Three single nucleotide polymorphisms within the matrix metalloproteinase-7 gene were assessed with respect to age at diagnosis, margin status, extracapsular extension, lymph node involvement, recurrence-free survival, and overall survival in paraffin-embedded prostate tissue specimens from patients with early-stage prostate cancer who underwent radical prostatectomy. RESULTS:Rs10895304 was the sole significant polymorphism. The A/G genotype of rs10895304 had a statistically significant association with recurrence-free survival in postprostatectomy patients (p = 0.0061, log-rank test). The frequency of the risk-reducing genotype (A/A) was 74%, whereas that of the risk-enhancing genotypes (A/G and G/G) were 20% and 6%, respectively. Multivariable Cox regression analyses detected a significant association between rs10895304 and recurrences after adjustment for known prognostic factors. The G allele of this polymorphism was associated with increased risk of prostate cancer recurrence (adjusted hazards ratio, 3.375; 95% confidence interval 1.567-7.269; p < 0.001). The other assayed polymorphisms were not significant, and no correlations were made to other clinical variables. CONCLUSIONS: The A/G genotype of rs10895304 is predictive of decreased recurrence-free survival in patients with clinically localized prostate cancer. Our data suggest that for this subset of patients, prostatectomy alone may not be adequate for local control. This is a novel and relevant marker that should be evaluated for improved risk stratification of patients who may be candidates for adjuvant radiation therapy to improve local control.
Authors: Thomas Van den Broeck; Steven Joniau; Liesbeth Clinckemalie; Christine Helsen; Stefan Prekovic; Lien Spans; Lorenzo Tosco; Hendrik Van Poppel; Frank Claessens Journal: Biomed Res Int Date: 2014-02-19 Impact factor: 3.411