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1.
Prostate ; 75(16): 1926-33, 2015 Dec.
Article in English | MEDLINE | ID: mdl-26469352

ABSTRACT

BACKGROUND: We previously identified a protein tumor signature of PTEN, SMAD4, SPP1, and CCND1 that, together with clinical features, was associated with lethal outcomes among prostate cancer patients. In the current study, we sought to validate the molecular model using time-dependent measures of AUC and predictive values for discriminating lethal from non-lethal prostate cancer. METHODS: Using data from the initial study, we fit survival models for men with prostate cancer who were participants in the Physicians' Health Study (PHS; n = 276). Based on these models, we generated prognostic risk scores in an independent population, the Health Professionals Follow-up Study (HPFS; n = 347) to evaluate external validity. In each cohort, men were followed prospectively from cancer diagnosis through 2011 for development of distant metastasis or cancer mortality. We measured protein tumor expression of PTEN, SMAD4, SPP1, and CCND1 on tissue microarrays. RESULTS: During a median of 11.9 and 14.3 years follow-up in the PHS and HPFS cohorts, 24 and 32 men (9%) developed lethal disease. When used as a prognostic factor in a new population, addition of the four markers to clinical variables did not improve discriminatory accuracy through 15 years of follow-up. CONCLUSIONS: Although the four markers have been identified as key biological mediators in metastatic progression, they do not provide independent, long-term prognostic information beyond clinical factors when measured at diagnosis. This finding may underscore the broad heterogeneity in aggressive prostate tumors and highlight the challenges that may result from overfitting in discovery-based research.


Subject(s)
Cyclin D1/metabolism , Osteopontin/metabolism , PTEN Phosphohydrolase/metabolism , Prostate/metabolism , Prostatic Neoplasms/diagnosis , Smad4 Protein/metabolism , Aged , Aged, 80 and over , Area Under Curve , Biomarkers, Tumor/metabolism , Disease Progression , Follow-Up Studies , Gene Expression Profiling , Humans , Male , Middle Aged , Neoplasm Invasiveness/pathology , Prognosis , Prostate/pathology , Prostatic Neoplasms/metabolism , Prostatic Neoplasms/mortality
2.
Cancer Epidemiol Biomarkers Prev ; 23(10): 2027-31, 2014 Oct.
Article in English | MEDLINE | ID: mdl-24925673

ABSTRACT

BACKGROUND: The androgen receptor (AR) is an essential gene in prostate cancer pathogenesis and progression. Genetic variation in AR exists, including a polymorphic CAG repeat sequence that is inversely associated with transcriptional activity. Experimental data suggest that heightened AR activity facilitates formation of TMPRSS2:ERG, a gene fusion present in approximately 50% of tumors of patients with prostate cancer. METHODS: We undertook a nested case-control study to investigate the hypothesis that shorter CAG repeat length would be associated with prostate cancer risk defined by TMPRSS2:ERG status. The study included 291 men with prostate cancer (147 ERG-positive) and 1,221 cancer-free controls. ORs and 95% confidence intervals (CI) were calculated using logistic regression. RESULTS: Median CAG repeat length (interquartile range) among controls was 22 (20-24). Men with shorter CAG repeats had an increased risk of ERG-positive (OR, 1.07 per 1 repeat decrease; 95% CI, 1.00-1.14), but not ERG-negative prostate cancer (OR, 0.99 per 1 repeat decrease; 95% CI, 0.93-1.05). CONCLUSIONS: These data suggest that shorter CAG repeats are specifically associated with development of TMPRSS2:ERG-positive prostate cancer. IMPACT: Our results provide supportive evidence that androgen signaling underlies the development of prostate tumors that harbor TMPRSS2:ERG. Moreover, these results suggest that TMPRSS2:ERG may represent a unique molecular subtype of prostate cancer with an etiology distinct from TMPRSS2:ERG-negative disease.


Subject(s)
Genetic Predisposition to Disease/genetics , Oncogene Proteins, Fusion/genetics , Prostatic Neoplasms/genetics , Receptors, Androgen/genetics , Adult , Aged , Aged, 80 and over , Case-Control Studies , Genotype , Humans , Male , Middle Aged , Trinucleotide Repeats
3.
J Natl Cancer Inst ; 105(24): 1881-90, 2013 Dec 18.
Article in English | MEDLINE | ID: mdl-24292212

ABSTRACT

BACKGROUND: TMPRSS2:ERG is a hormonally regulated gene fusion present in about half of prostate tumors. We investigated whether obesity, which deregulates several hormonal pathways, interacts with TMPRSS2:ERG to impact prostate cancer outcomes. METHODS: The study included 1243 participants in the prospective Physicians' Health Study and Health Professionals Follow-Up Study diagnosed with prostate cancer between 1982 and 2005. ERG overexpression (a TMPRSS2:ERG marker) was assessed by immunohistochemistry of tumor tissue from radical prostatectomy or transurethral resection of the prostate. Body mass index (BMI) and waist circumference, measured on average 1.3 years and 5.3 years before diagnosis, respectively, were available from questionnaires. Data on BMI at baseline was also available. We used Cox regression to calculate hazard ratios and 95% confidence intervals (CIs). All statistical tests were two-sided. RESULTS: During a mean follow-up of 12.8 years, 119 men developed lethal disease (distant metastases or prostate cancer death). Among men with ERG-positive tumors, the multivariable hazard ratio for lethal prostate cancer was 1.48 (95% CI = 0.98 to 2.23) per 5-unit increase in BMI before diagnosis, 2.51 (95% CI = 1.26 to 4.99) per 8-inch increase in waist circumference before diagnosis, and 2.22 (95% CI = 1.35 to 3.63) per 5-unit increase in BMI at baseline. The corresponding hazard ratios among men with ERG-negative tumors were 1.10 (95% CI = 0.76 to1.59; P interaction = .24), 1.14 (95% CI = 0.62 to 2.10; P interaction = .09), and 0.78 (95% CI = 0.52 to 1.19; P interaction = .001). CONCLUSIONS: These results suggest that obesity is linked with poorer prostate cancer prognosis primarily in men with tumors harboring the gene fusion TMPRSS2:ERG.


Subject(s)
Biomarkers, Tumor/analysis , Obesity/complications , Oncogene Proteins, Fusion/analysis , Prostatectomy , Prostatic Neoplasms/chemistry , Aged , Aged, 80 and over , Body Mass Index , Follow-Up Studies , Gene Expression Regulation, Neoplastic , Humans , Immunohistochemistry , Male , Middle Aged , Odds Ratio , Predictive Value of Tests , Prognosis , Proportional Hazards Models , Prostatectomy/methods , Prostatic Neoplasms/etiology , Prostatic Neoplasms/mortality , Prostatic Neoplasms/surgery , Surveys and Questionnaires , Up-Regulation , Waist Circumference
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