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. Author manuscript; available in PMC: 2013 Oct 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2012 Aug 9;21(10):1823–1832. doi: 10.1158/1055-9965.EPI-12-0695

Associations of serum sex steroid hormones and 5α-androstane-3α,17β-diol glucuronide concentrations with prostate cancer risk among men treated with finasteride

Alan R Kristal 1,2, Cathee Till 1, Catherine M Tangen 1, Phyllis J Goodman 1, Marian L Neuhouser 1,2, Frank Z Stanczyk 3, Lisa W Chu 4, Sherfaraz K Patel 3, Ian Thompson 5, Juergen K Reichardt 6, Ashraful Hoque 7, Elizabeth A Platz 8, William D Figg 9, Adrie Van Bokhoven 10, Scott M Lippman 11, Ann W Hsing 12
PMCID: PMC3467348  NIHMSID: NIHMS399995  PMID: 22879203

Abstract

BACKGROUND

Finasteride, an inhibitor of 5 α-reductase (Type II), lowers intraprostatic dihydrotestosterone (DHT), which is reflected in serum as reduced 5α-androstane-3α,17β-diol glucuronide (3α-dG). It also modestly increases serum testosterone (T), estrone (E1) and estradiol (E2). In this altered hormonal milieu, it is unknown whether serum concentrations of these hormones are associated with prostate cancer risk.

METHODS

In this nested case-control study of men in the finasteride arm of the Prostate Cancer Prevention Trial, sex steroid hormones and sex hormone binding globulin (SHBG) were measured at baseline and approximately 3-years post-treatment in 553 prostate cancer cases and 694 controls.

RESULTS

Median post-treatment changes in concentrations of 3α-dG, T, E1, and E2 were −73.8%, +10.1%, +11.2%, and +7.5% (all p<0.001), respectively. Neither the pre- nor post-treatment concentrations of 3α-dG, nor its change, were associated with risk. Pre-treatment, high concentrations of E1 and low concentrations of T were associated with increased cancer risk (Odds Ratio[95% CI] quartile 4 vs 1: 1.38[0.99–1.93] ptrend=0.03; 0.64 [0.43–0.93] ptrend=0.07, respectively). Post-treatment, high concentrations of both E1 and E2 and were associated with increased cancer risk (OR[95% CI] quartile 4 vs 1: 1.54[1.09–2.17] ptrend=0.03; 1.49[1.07–2.07] ptrend=0.02, respectively).

CONCLUSIONS

Among finasteride-treated men, concentrations of 3α-dG were not associated with total or Gleason grades 2–6, 7–10 or 8–10 cancer. High serum estrogens may increase cancer risk when intraprostatic DHT is pharmacologically lowered.

IMPACT

Low post-treatment serum estrogens may identify men more likely to benefit from use of finasteride to prevent prostate cancer.


There is general consensus that normal, physiological variability in blood concentrations of sex steroid hormones is not associated with the risk of prostate cancer(1). However, both finasteride, a type II steroid 5-α reductase inhibitor, and dutasteride, a dual type I and II steroid 5-α reductase inhibitor, dramatically change the intraprostatic hormonal milieu. By inhibiting intraprostatic conversion of testosterone (T) to dihydrotestosterone (DHT), these drugs substantially lower the concentration of intraprostatic DHT(2) and modestly increase the concentrations of blood T(3); whether estradiol (E2) and estrone (E1) are affected remains uncertain. In the Prostate Cancer Prevention Trial (PCPT), which tested whether finasteride could prevent prostate cancer, finasteride reduced the risk of total prostate cancer by 25% but also increased the risk of high-grade cancer(4). This paradoxical finding remains unexplained. It could be attributable to increasing the detection of high-grade cancer, as finasteride improves the sensitivities of screening tests (digital rectal examination (DRE)(5) and prostate specific antigen (PSA)(6) and diagnostic biopsies(7); however it is also possible that low intraprostatic DHT provides a growth advantage for aggressive tumors(8).

Here we investigate whether, among men who were compliant with finasteride treatment, the pre- and post-treatment concentrations of steroid hormones and their treatment-associated changes are associated with prostate cancer risk. We use serum 5α-androstane-3α,17β-diol glucuronide (3α-dG), a distal metabolite of DHT, as a surrogate measure of intraprostatic DHT(9, 10), because direct assay of prostate tissue was not feasible. Our primary hypothesis is that among men treated with finasteride, low post-treatment concentration of 3α-dG, reflecting a larger reduction in intraprostatic DHT, would be associated with lower overall prostate cancer risk. Secondarily, given the association of finasteride with high-grade disease, we also consider whether low post-treatment 3α-dG was associated with an increased risk of high-grade disease. In more exploratory analyses, we examine whether the pre- and post-treatment concentrations of T, E1 and E2 were associated with prostate cancer risk. Findings from this study could make it feasible to identify men who would maximally benefit from the use of finasteride for cancer prevention, and could provide insight into the etiology of the increased risk of high-grade cancer among men treated with finasteride.

METHODS

Study Design and Study Population

Data are from the Prostate Cancer Prevention Trial (PCPT), a randomized, placebo-controlled trial that tested whether finasteride, a steroid 5α-reductase Type II inhibitor, could reduce the 7-year period prevalence of prostate cancer. Details regarding study design and participant characteristics have been described previously(4). Briefly, 18,880 men age 55 years and older with normal digital rectal exam (DRE) and PSA levels of 3 ng/ml or below, as well as no history of prostate cancer, severe lower urinary tract symptoms or clinically significant coexisting conditions, were randomized to receive finasteride (5 mg/day) or placebo. During the PCPT, men underwent DRE and PSA determinations annually, and a prostate biopsy was recommended for participants with an abnormal DRE or if a PSA adjusted for the effect of finasteride was 4.0 ng/ml or greater. At the final study visit at year 7, all men not previously diagnosed with prostate cancer were requested to undergo an end-of-study prostate biopsy. All biopsies consisted of a minimum of 6 cores collected under transrectal ultrasonographic guidance and were reviewed for adenocarcinoma by both the pathologist at the local study site and a central pathology laboratory with concordance achieved in all cases. Clinical stage was assigned locally and tumors were graded centrally using the Gleason scoring system. All men gave informed consent and study procedures were approved by Institutional Review Boards at each study center, the Southwest Oncology Group (SWOG, San Antonio, TX), and the Fred Hutchinson Cancer Research Center (Seattle, WA).

Case and control selection

The study reported here is part of a large nested case-control study designed to examine multiple hypotheses about prostate cancer biology and risk(11). Cancer cases and controls in this report were from the finasteride treated study arm. Cases (n=676) had biopsy-confirmed cancer identified before study unblinding, and blood samples both at baseline and before cancer diagnosis. Controls (n =759) were disease-free at the end-of-study biopsy and had both baseline and follow-up blood samples. Controls were frequency-matched to cases on distributions of age (±5 years) and having a first-degree relative with prostate cancer, and included all non-whites. There were more controls than cases because men diagnosed with cancer in the first two years, or before a follow-up blood was collected, were excluded. Men who were not compliant with the study treatment, defined as either (a) reporting not using the drug at the time of the post-treatment serum collection (n=155) or (b) having a post-treatment finasteride blood concentration of zero (n=33), were excluded, leaving 553 cases and 694 control participants in the study.

Data Collection and Laboratory Methods

Information on age, race, diabetes status, family history of prostate cancer in first-degree relatives and history of smoking was collected at baseline using self-administered questionnaires. Participants' height and weight were measured at baseline, and body mass index (BMI) was calculated as weight (kg) / height (m2).

Non-fasting blood was collected approximately 3 months prior to randomization and annually thereafter until diagnosis or the study end. Venous blood was drawn into glass collection tubes without anticoagulant, refrigerated, and shipped to a central repository where they were centrifuged, aliquoted, and stored at −70°C. Concentrations of T, 3α-dG, E1,E2 and sex hormone binding globulin (SHBG) were measured at baseline and at year 3 post-baseline. For the approximately 5% of men missing a year 3 blood sample, the sample closest in time was used (range years 1–7).

Hormone Measurements

Total T, 3α-dG, E1, E2 and SHBG were quantified in serum by highly specific immunoassays at the Reproductive Endocrine Research Laboratory, University of Southern California Keck School of Medicine (F.Z.S.). Total T and SHBG were measured by a direct solid-phase, competitive chemiluminescent enzyme immunoassay and a direct solid-phase, two-site chemiluminescent immunometric assay, respectively, using the Immulite 2000 analyzer (Siemens Healthcare Diagnostics, Deerfield, IL). The sensitivity of the T assay is 20 ng/dL and that of the SHBG assay is 1 nmol/L. The interassay CVs for T were 11.9%, 7.6% and 9.1% at concentrations of 124 ng/dL, 539 ng/dL and 1058 ng/dL, respectively, and for SHBG were 5.2%, 5.2% and 6.6% at 21 nmol/L, 63 nmol/L and 80 nmol/L, respectively. 3α-dG was measured manually by direct competitive radioimmunoassay, using kits obtained from Beckman-Coulter, Minneapolis, MN). This assay was validated extensively and measures the predominant form of 3α-dG, which contains the glucuronide at carbon 17 instead of carbon 3(12). The 3α-dG assay sensitivity is 0.5 ng/ml and the interassay CVs were 2.7% and 9.0% at concentrations of 4.5 ng/ml and 6.4 ng/ml, respectively. Estrogens were measured by radioimmunoassay after organic solvent extraction and Celite column partition chromatography, as described previously(13). The E1 and E2 assay sensitivities are 2 pg/ml and 4 pg/ml, respectively. The interassay CVs were 11%, 12% and 9% at concentrations of 24 pg/ml, 61 pg/ml and 159 pg/ml, respectively, for E1, and 10% at concentrations of 22 pg/ml, 66 pg/ml, and 183 pg/ml for E2.

Free and bioavailable (non-SHBG-bound) T and E2 were calculated using a validated method(14) based on measured total T and E2 levels, respectively, and SHBG, assuming an average concentration for albumin(15, 16). This method has been found to have high validity(14). Assays were not successful for small numbers of samples, and thus the numbers with baseline, follow-up and change measures differs slightly for each analyte. Quality control (QC) samples from pooled serum from healthy volunteers, split into six pools, were also included in each analytical batch. Between one and six samples from the same pool were placed randomly within each box of samples. QC data were monitored regularly and laboratory personnel were blinded to sample type. Coefficients of variation for 3α-dG, T, E1, E2 and SHBG were 14.0%, 10.5%, 15.2%, 14.9% and 12.2%, respectively.

Statistical Analysis

Paired t-tests were used to test whether the absolute or percentage differences in 3α-dG, T (total and free), E1, E2 (total and free) and SHBG concentrations between baseline and post-treatment were significantly different from zero. Baseline-adjusted change was calculated from a linear regression using change as the dependent variable and baseline as the independent variable; the residual from this model was added to the population mean change. Spearman rank-order correlations were used to assess the associations among treatment-associated changes in all measures, and were computed both unadjusted and, using residuals from linear regression models, adjusted for SHBG. Unconditional and polytomous logistic regression analyses were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the associations of steroid concentrations, and changes in these concentrations, with total, low- and high-grade cancer. Each measure was categorized into quartiles based on distributions in controls. Models were adjusted for SHBG, as well as frequency matching variables and variables associated with prostate cancer risk in this cohort, including age (continuous), race (Caucasian, other), family history of prostate cancer in first-degree relatives (yes, no), body mass index (continuous) and serum cholesterol. Diabetes, although associated with cancer risk, could not be included in stratified models due to its low frequency; however findings did not change when men with diabetes were excluded. Low-grade cancer was defined as Gleason Score 2–6, and high-grade cancer was defined as Gleason Score 7–10 and, to capture a more rare but more phenotypically uniform group of highly aggressive cancers(17) as Gleason Score 8–10. There were no significant differences between findings for Gleason 7–10 and 8–10 cancers, in part because of the relatively small number of Gleason 8–10 cancers, and the results for both are described together in the text as “high-grade” cancer. All statistical tests were two-sided, with a statistical significance level set at p=0.05. All statistical analyses were carried out using SAS statistical software (version 9.2, SAS Corporation, Cary, NC).

RESULTS

Table 1 gives baseline demographic and health-related characteristics in case and control participants. Cases and controls did not differ significantly by BMI, smoking status, alcohol consumption or physical activity, nor did they differ by age or family history of prostate cancer due to matching. Compared to cases, PSA levels and years of education were significantly lower in controls. The much higher proportion of non-white men in the control group was due to purposeful oversampling.

Table 1.

Demographic and health-related characteristics at baseline, among treatment-compliant men in the Prostate Cancer Prevention Trial finasteride arm.

Control Case

(n=694) (n=553)
Mean (SD) Mean (SD) p-value
Age (yrs)1 63.8 (5.6) 64.1 (5.7) 0.35
Body Mass Index (kg/m2) 27.7 (4.1) 27.4 (3.8) 0.30
Prostate Specific Antigen (ng/mL) 1.2 (0.7) 1.6 (0.7) <0.0001
Cholesterol (mg/dL) 216.6 (37.9) 216.7 (41.1)
N (%) N (%)
Family History of Prostate Cancer1 148 (21.3) 127 (23.0) 0.49
Diabetes 51 (7.3) 32 (5.8) 0.27
Race
Non-Hispanic White 514 (74.1) 512 (92.6) <0.0001
African-American2 93 (13.4) 29 (5.2)
Other 87 (12.5) 12 (2.2)
Education (yrs)
≤12 146 (21.1) 96 (17.4) 0.01
13–15 217 (31.3) 146 (26.4)
≥16+ 330 (47.6) 311 (56.2)
Smoking
Never 244 (35.2) 193 (34.9) 0.12
Current 58 (8.4) 30 (5.4)
Former 392 (56.5) 330 (59.7)
Alcohol Intake (g/day)
0 161 (23.2) 132 (23.9) 0.88
>0 – <30 472 (68.0) 369 (66.7)
≥30 61 (8.8) 52 (9.4)
Body Mass Index (kg/m2)
Normal (<25) 184 (26.7) 146 (26.6) 0.99
Overweight (25 – <30) 344 (50.0) 277 (50.5)
Obese (≥30) 160 (23.3) 126 (23.0
1

Matching variable for control selection.

2

Non-white controls were oversampled.

Table 2 gives mean and median levels of serum androgens, estrogens and SHBG at baseline and follow-up, along with the absolute, percentage and baseline-adjusted differences between these two time points. For all measures, the changes between baseline and follow-up were statistically significant (p<0.001). As expected, the largest change was a mean 74% reduction in serum 3α-dG. There were small increases in median concentrations of serum T, SHBG, E1 and E2, which ranged from 6.0% to 11.2% and were attenuated for free compared to total T and E2.

Table 2.

Serum concentrations of, 5α-androstane-3α,17β-diol glucuronide, sex steroid hormones and sex hormone binding globulin, before and after finasteride treatment, among treatment-compliant men in the Prostate Cancer Prevention Trial finasteride arm.

N Median [IQR1] Mean (SD)

3-α-dG (ng/mL)2
 Baseline 1247 5.7 [3.9,8.0] 6.8 (5.1)
 Post-Treatment 1247 1.5 [1.0,2.1] 1.9 (1.7)
 Absolute Difference3,4 1247 −4.1 [−6.1,−2.4] −4.9 (4.7)
 Absolute Difference, Baseline Adjusted3,4 1247 −5.2 [−5.6,−4.7] −4.9 (1.5)
 % Difference 3,5 1247 −73.8 [−81.5,−62.6] −67.1 (32.6)
Testosterone (ng/dL)
 Baseline 1246 361 [285,448] 381 (138)
 Post-Treatment 1246 398 [316,496] 421 (157)
 Absolute Difference3,4 1246 37.0 [−31.0,103.0] 39.9 (121.0)
 Absolute Difference, Baseline Adjusted3,4 1246 29.6 [−33.6,96.4] 39.9 (116.5)
 % Difference3,5 1246 10.1 [−8.1,31.7] 14.7 (36.1)
Free Testosterone (ng/dL)
 Baseline 1246 8.4 [6.8,10.0] 8.7 (2.7)
 Post-Treatment 1246 9.1 [7.3,10.9] 9.4 (3.0)
 Absolute Difference3,4 1246 0.7 [−1.00.,2.2] 0.7 (2.7)
 Absolute Difference, Baseline Adjusted3,4 1246 0.5 [−0.9,2.0] 0.7 (2.5)
 % Difference 3,5 1246 7.5 [−10.4,29.4] 12.5 (36.8)
Estrone (pg/mL)
 Baseline 1227 44.4 [35.8,55.2] 46.5 (15.6)
 Post-Treatment 1227 49.2 [39.9,59.8] 51.8 (17.0)
 Absolute Difference3,4 1227 4.7 [−3.3,13.2] 5.2 (15.2)
 Absolute Difference, Baseline Adjusted3,4 1227 3.7 [−3.8,11.8] 5.2 (14.0)
 % Difference3,5 1227 11.2 [−7.2,35.5] 16.5 (35.3)
Estradiol (pg/mL)
 Baseline 1236 33.5 [26.7,40.5] 34.6 (11.7)
 Post-Treatment 1236 35.6 [29.3,43.3] 37.4 (12.4)
 Absolute Difference3,4 1236 2.6 [−3.4,8.1] 2.7 (11.5)
 Absolute Difference, Baseline Adjusted3,4 1236 1.9 [−3.4,7.4] 2.7 (10.4)
 % Difference3,5 1236 7.5 [−8.8,28.1] 11.7 (32.4)
Free Estradiol (pg/mL)
 Baseline 1236 0.9 [0.7,1.1] 0.9 (0.3)
 Post-Treatment 1236 0.9 [0.8,1.2] 1.0 (0.3)
 Absolute Difference3,4 1236 0.0 [−0.1,0.2] 0.1 (0.3)
 Absolute Difference, Baseline Adjusted3,4 1236 0.0 [ 0.1,0.2] 0.1 (0.3)
 % Difference3,5 1236 5.3 [−10.7,26.1] 9.6 (31.8)
Sex Hormone Binding Globulin (nmol/L)
 Baseline 1247 36.0 [28.0,45.7] 38.5 (16.2)
 Post-Treatment 1247 38.3 [29.4,48.7] 40.8 (16.3)
 Absolute Difference3,4 1247 2.0 [−2.7,6.8] 2.3 (10.4)
 Absolute Difference, Baseline Adjusted3,4 1247 1.3 [−3.1,6.4] 2.3 (9.9)
 % Difference 3,5 1247 6.0 [−7.1,20.4] 8.9 (25.7)
1

Inter-quartile range

2

5α-androstane-3α,17β-diol glucuronide

3

p<0.0001

4

Post-treatment – baseline

5

100 · (Post-treatment – baseline)/baseline

Table 3 gives the correlations among changes in 3α-dG, serum steroids and SHBG. Changes in 3α-dG were not correlated with changes in other steroids or SHBG. Changes in T were moderately and positively correlated with changes in E1, E2 and SHBG, and changes in E1 and E2 were strongly correlated with each other. Correlations were similar when adjusted for SHBG (data not shown).

Table 3.

Spearman correlations among changes in 5α-androstane-3α,17β-diol glucuronide, sex steroid hormones and sex hormone binding globulin, pre- and post-finasteride treatment, among treatment-compliant men in the Prostate Cancer Prevention Trial finasteride arm

Δ3α-dG2 Δ T Δ E1 Δ E2 Δ Free T Δ Free E2
Δ T3 0.041 (0.11)
Δ E1 0.08 (<.01) 0.23 (<.0001)
Δ E2 0.03 (0.29) 0.36 (<.0001) 0.54 (<.0001)
Δ Free T 0.06 (<.04) 0.92 (<.0001) 0.22 (<.0001) 0.33 (<.0001)
Δ Free E2 0.04 (0.20) 0.26 (<.0001) 0.52 (<.0001) 0.95 (<.0001) 0.32 (<.0001)
Δ SHBG6 −0.03 (0.22) 0.37 (<.0001) 0.06 (<.03) 0.17 (<.0001) 0.05 (0.05) −0.09 (<.001)
1

Spearman Correlation (p value), pairwise deletion of missing values, N=1,226 – 1,247

2

5α-androstane-3α,17β-diol glucuronide

3

Testosterone

4

Estrone

5

Estradiol

6

Sex Hormone Binding Globulin

In this subset of men in the PCPT who were finasteride-compliant approximately 3-years post-randomization, neither absolute, percentage nor baseline-adjusted changes in sex steroids or 3α-dG were associated with risks of total, low- or high-grade cancer (data not shown).

Table 4 gives the covariate-adjusted associations of pre-treatment steroid concentrations with prostate cancer risk. Compared to men in the lowest quartile of T, those in the highest quartile had a 36% [95% CI: 57%–7%] reduced risk of total cancer. This association was similar for low- and high-grade cancer but was not linear; reduced risks were limited to those in the highest quartile only. The association of free T with cancer risk was substantially attenuated and not significant. There was also a 38% [−1%–93%] increased risk of cancer, comparing men in the highest to lowest quartiles of E1. The association was limited to low-grade cases.

Table 4.

Associations of pre-finasteride-treatment 5α-androstane-3α,17β-diol glucuronide, sex steroid hormones and sex hormone binding globulin with prostate cancer risk.

Overall Cancer Gleason 2–6 Gleason 7–10 Gleason 8–10
Range of values N case/ctl OR (95% CI)2 N case/ctl OR (95% CI)2 N case/ctl OR (95% CI)2 N case/ctl OR (95% CI)2
3α-dG1 <(3.9) 156/169 ref 96/169 ref 58/169 ref 21/169 ref
(ng/mL) (3.9) to <(5.7) 144/166 0.93 (0.67–1.28) 84/166 0.87 (0.60–1.27) 56/166 0.98 (0.63–1.52) 19/166 0.91 (0.47–1.78)
(5.7) to <(8.0) 142/167 0.87 (0.63–1.20) 73/167 0.72 (0.49–1.06) 57/167 0.96 (0.62–1.48) 19/167 0.90 (0.46–1.75)
≥(8.0) 130/172 0.80 (0.58–1.11) 74/172 0.73 (0.50–1.07) 52/172 0.88 (0.57–1.37) 17/172 0.82 (0.41–1.63)
Pslope 0.17 0.07 0.58 0.58
Testosterone <(289) 167/170 ref 90/170 ref 71/170 ref 27/170 ref
(ng/dL) (289) to <(363) 128/165 0.78 (0.56–1.09) 71/165 0.78 (0.52–1.15) 53/165 0.79 (0.51–1.22) 13/165 0.50 (0.25–1.02)
(363) to <(457) 159/166 0.92 (0.66–1.29) 95/166 0.97 (0.66–1.42) 58/166 0.84 (0.54–1.30) 21/166 0.77 (0.40–1.47)
≥ (457) 118/173 0.64 (0.43–0.93) 71/173 0.63 (0.40–1.00) 41/173 0.57 (0.34–0.97) 15/173 0.50 (0.23–1.12)
Pslope 0.07 0.15 0.07 0.18
Free Testosterone <(6.8) 147/170 ref 82/170 ref 61/170 ref 23/170 ref
(ng/dL) (6.8) to <(8.5) 167/166 1.16 (0.84–1.60) 92/166 1.12 (0.77–1.63) 69/166 1.19 (0.79–1.81) 21/166 1.00 (0.53–1.90)
(8.5) to <(10.2) 139/166 0.99 (0.72–1.38) 86/166 1.05 (0.71–1.54) 48/166 0.88 (0.56–1.38) 18/166 0.95 (0.49–1.86)
≥ (10.2) 119/172 0.83 (0.59–1.17) 67/172 0.77 (0.52–1.16) 45/172 0.83 (0.53–1.32) 14/172 0.78 (0.37–1.61)
Pslope 0.21 0.22 0.25 0.49
Estrone <(35.8) 137/166 ref 72/166 ref 60/166 ref 17/166 ref
(pg/mL) (35.8) to <(44.0) 128/172 0.93 (0.67–1.29) 67/172 0.93 (0.62–1.39) 55/172 0.91 (0.59–1.39) 19/172 1.06 (0.53–2.13)
(44.0) to <(54.5) 138/163 1.12 (0.81–1.57) 85/163 1.32 (0.89–1.95) 51/163 0.94 (0.61–1.46) 21/163 1.33 (0.67–2.63)
≥ (54.5) 161/167 1.38 (0.99–1.93) 99/167 1.68 (1.14–2.48) 54/167 1.00 (0.64–1.55) 19/167 1.12 (0.55–2.28)
Pslope 0.03 0.00 0.98 0.62
Total Estradiol <(26.7) 138/164 ref 69/164 ref 66/164 ref 19/164 ref
(pg/mL) (26.7) to <(33.3) 142/168 1.02 (0.73–1.41) 85/168 1.24 (0.83–1.84) 49/168 0.72 (0.46–1.11) 21/168 1.01 (0.52–1.98)
(33.3) to <(40.4) 146/166 1.13 (0.81–1.57) 92/166 1.44 (0.97–2.14) 46/166 0.73 (0.46–1.14) 16/166 0.81 (0.40–1.66)
≥ (40.4) 145/172 1.11 (0.79–1.55) 81/172 1.25 (0.83–1.88) 61/172 0.95 (0.62–1.46) 20/172 0.96 (0.48–1.91)
Pslope 0.45 0.22 0.82 0.76
Free Estradiol <(0.73) 136/169 ref 68/169 ref 63/169 ref 19/169 ref
(pg/mL) (0.73) to <(0.90) 123/165 0.92 (0.66–1.29) 71/165 1.09 (0.73–1.63) 49/165 0.78 (0.50–1.20) 15/165 0.77 (0.38–1.58)
(.90) to <(1.10) 137/166 1.17 (0.83–1.63) 92/166 1.65 (1.11–2.45) 40/166 0.69 (0.43–1.09) 21/166 1.15 (0.59–2.25)
≥ (1.10) 132/170 1.12 (0.80–1.57) 71/170 1.27 (0.84–1.91) 55/170 0.94 (0.61–1.46) 13/170 0.71 (0.33–1.51)
Pslope 0.31 0.09 0.65 0.64
1

5α-androstane-3α,17β-diol glucuronide

2

Adjusted for age, race, family history of prostate cancer, SHBG, body mass index and serum cholesterol.

Table 5 gives the covariate-adjusted associations of post-treatment steroid and SHBG concentrations with prostate cancer risk. Neither T, free T nor 3α-dG were associated with the risk of total, low- or high-grade cancer. Concentrations of E1, E2 and free E2 were positively associated with cancer risk: comparing the fourth to first quartiles (Q4 vs. Q1) risks were increased by 54% [9%–117%] , 49% [7%–107%] and 34% [−4%–87%], respectively. For all associations, trends were significant (all ptrend<0.03) and similar for low- and high-grade disease.

Table 5.

. Associations of post-finasteride-treatment 5α-androstane-3α,17β-diol glucuronide, sex steroid hormones and sex hormone binding globulin with prostate cancer risk.

Overall Cancer Gleason 2–6 Gleason 7–10 Gleason 8–10
Range of values N case/ctl OR (95% CI)2 N case/ctl OR (95% CI)2 N case/ctl OR (95% CI)2 N case/ctl OR (95% CI)2
3α-dG1 <(1.0) 135/164 ref 82/164 ref 49/164 ref 15/164 ref
(ng/mL) (1.0) to <(1.4) 127/171 0.89 (0.63–1.24) 78/171 0.88 (0.60–1.30) 45/171 0.88 (0.55–1.40) 11/171 0.70 (0.31–1.58)
(1.4) to <(2.1) 137/170 0.99 (0.71–1.38) 78/170 0.90 (0.61–1.33) 54/170 1.11 (0.71–1.75) 17/170 1.14 (0.54–2.40)
≥ (2.1) 130/169 0.96 (0.68–1.34) 64/169 0.74 (0.49–1.11) 60/169 1.28 (0.82–2.00) 25/169 1.81 (0.91–3.60)
0.96 0.18 0.17 0.04
Testosterone <(318) 137/168 ref 76/168 ref 55/168 ref 19/168 ref
(ng/dL) (318) to <(398) 132/169 0.94 (0.67–1.32) 71/169 0.87 (0.58–1.30) 58/169 1.10 (0.71–1.72) 16/169 0.94 (0.46–1.94)
(398) to <(494) 120/168 0.83 (0.58–1.19) 71/168 0.82 (0.54–1.25) 45/168 0.86 (0.53–1.40) 15/168 0.92 (0.43–1.98)
>≥ (494) 139/169 1.11 (0.75–1.64) 83/169 1.06 (0.66–1.68) 50/169 1.14 (0.67–1.94) 18/169 1.38 (0.60–3.15)
0.84 0.92 0.92 0.52
Free Testosterone <(7.3) 138/168 ref 72/168 ref 62/168 ref 24/168 ref
(ng/dL) (7.3) to <(9.1) 138/170 0.95 (0.68–1.33) 77/170 0.97 (0.65–1.44) 54/170 0.89 (0.58–1.38) 12/170 0.55 (0.26–1.16)
(9.1) to <(11.) 146/169 1.09 (0.78–1.51) 94/169 1.26 (0.85–1.86) 50/169 0.90 (0.58–1.40) 16/169 0.83 (0.41–1.65)
≥ (11.2) 106/167 0.83 (0.59–1.19) 58/167 0.81 (0.53–1.24) 42/167 0.81 (0.51–1.30) 16/167 0.91 (0.45–1.83)
0.51 0.69 0.40 0.92
Estrone <(39.4) 109/167 ref 56/167 ref 47/167 ref 11/167 ref
(pg/mL) (39.4) to <(49.0) 139/167 1.27 (0.90–1.78) 79/167 1.37 (0.91–2.07) 57/167 1.24 (0.79–1.94) 23/167 2.19 (1.03–4.67)
(49.0) to <(59.2) 128/171 1.19 (0.84–1.68) 78/171 1.41 (0.93–2.13) 47/171 1.01 (0.64–1.61) 14/171 1.28 (0.56–2.93)
≥ (59.2) 145/162 1.54 (1.09–2.17) 84/162 1.74 (1.15–2.63) 55/162 1.35 (0.85–2.13) 20/162 2.11 (0.97–4.59)
0.03 0.01 0.35 0.21
Total Estradiol <(29.1) 121/169 ref 72/169 ref 44/169 ref 14/169 ref
(pg/mL) (29.1) to <(35.2) 117/168 1.04 (0.74–1.47) 58/168 0.86 (0.57–1.31) 53/168 1.31 (0.82–2.08) 17/168 1.33 (0.63–2.81)
(35.2) to <(42.4) 122/162 1.15 (0.81–1.62) 72/162 1.15 (0.77–1.72) 46/162 1.18 (0.73–1.90) 16/162 1.26 (0.59–2.70)
≥ (42.4) 167/171 1.49 (1.07–2.07) 98/171 1.45 (0.98–2.13) 65/171 1.62 (1.03–2.56) 21/171 1.64 (0.79–3.41)
0.02 0.03 0.06 0.22
Free Estradiol <(0.77) 124/170 ref 69/170 ref 49/170 ref 14/170 ref
(pg/mL) (0.77) to <(0.92) 106/167 0.89 (0.63–1.26) 61/167 0.93 (0.62–1.41) 41/167 0.86 (0.53–1.38) 14/167 1.02 (0.47–2.23)
(0.92) to <(1.14) 145/162 1.33 (0.95–1.86) 80/162 1.35 (0.91–2.02) 60/162 1.35 (0.87–2.11) 21/162 1.65 (0.80–3.38)
≥ (1.14) 152/171 1.34 (0.96–1.87) 90/171 1.44 (0.97–2.14) 58/171 1.28 (0.81–2.00) 19/171 1.47 (0.70–3.07)
0.02 0.02 0.11 0.18
1

5α-androstane-3α,17β-diol glucuronide

2

Adjusted for age, race, family history of prostate cancer, SHBG, body mass index and serum cholesterol.

In additional analyses not shown, the results for pre- and post-treatment T, free T, SHBG and 3α-dG did not change when models were further adjusted for other steroids. Results for pre- and post-treatment E1, E2, and free E2 did not change when additionally adjusted for T and 3α-dG. Associations of pre-treatment E1 and E2 with cancer risk did not change when mutually adjusted for each other, but post-treatment associations for both were attenuated and no longer significant.

DISCUSSION

In this nested case-control study among treatment-compliant men in the PCPT, there was a 74% reduction in serum 3α-dG after approximately 3 years of finasteride treatment. Neither pre- treatment, post-treatment nor the magnitude of change in 3α-dG were associated with the risk of total or Gleason 2–6. 7–10 or 8–10 cancer. Finasteride treatment also modestly increased serum T, free T, E1, E2 and free E2. Pre-treatment, men in the highest quartiles of T and E1 had a 36% lower and a 38% higher risk of prostate cancer, respectively. Post-treatment, men in the highest quartiles of E1, E2 and free E2 had 54%, 47% and 34% increased risks of prostate cancer, respectively The magnitudes of change in steroid concentrations were not associated with cancer risk.

The lack of association between post-treatment 3α-dG and cancer risk was unexpected. We had hypothesized that larger decreases in 3α-dG, reflecting larger reductions in intraprostatic DHT following treatment, would indicate response to finasteride treatment and thereby be associated with larger reductions in prostate cancer risk. This finding suggests that, at least among treatment-compliant men, the concentration of intraprostatic DHT was reduced below a threshold, beyond which its further reduction did not affect cancer risk.

One of the main controversies regarding the use of steroid 5-α reductase inhibitors for the primary prevention of prostate cancer is whether or not the observed increased risk of high-grade cancer following treatment in two clinical trials was causal or due to diagnostic bias (4, 18). Some investigators have hypothesized that reduced intraprostatic DHT suppresses growth of androgen-dependent cancer clones, which allows the preferential growth of androgen-independent, aggressive cancers(19). In contrast, several studies have suggested that high-grade cancers are more easily detected in finasteride-treated men, because their prostates are reduced in size and a larger proportion of the gland is sampled during biopsy(20). If low intraprostatic DHT causes increased risk of high-grade disease, we would expect that men with the lowest post-treatment 3α-dG concentration would have a greater risk of high-grade disease. In contrast, in this study there was a non-significant but large 81% [−9%–260%, ptrend=0.04] increased risk of Gleason 8–10 cancer among men in the highest quartile of 3α-dG. Thus, although this study does not address directly whether or not the association of 5-α reductase inhibitors with high-grade cancer is causal, it does not support the hypothesis that the reduction in DHT following treatment allows the preferential growth of high-grade disease.

The association of high pre-treatment T with decreased risk is somewhat inconsistent with study findings overall and difficult to interpret. This association was limited to men in the highest quartile and not consistent with the lack of an association for free T. Furthermore, because neither post-treatment T nor free T were associated with risk, we judge this likely to be a chance finding. The association of high pre-treatment E1 with increased cancer risk is also difficult to interpret. Pre-treatment, estrogen associations were limited to E1 with low-grade disease, compared to significant associations of post-treatment E1 and E2 with both low- and high-grade disease. Also, the pre-treatment estrogen findings given here on treatment-compliant men differed somewhat from those previously published from a larger sample of PCPT participants that did not exclude non-compliant men (21), in which both E1 and E2 were associated with increased risk of low-grade disease. Further research will be needed to clarify these findings.

The associations of high post-treatment estrogens with increased cancer risk are noteworthy because trends were significant and the odds ratios were similar for low- and high-grade disease. The mechanism underlying these associations is unclear. It is possible that estrogens influence prostate cancer risk when intraprostatic DHT is pharmacologically reduced, or the association could be indirect; for example, genetic and/or environmental characteristics that increase estrogen levels (e.g., through increased aromatase activity) may in some way modify the response to finasteride. Unfortunately, this nested case-control study does not allow us to directly measure the effect of finasteride in men with low and high post-treatment estrogen concentrations, because controls were matched on treatment arm. Overall, these findings on post-treatment estrogens support a new area of research to investigate the effects of estrogens on prostate tissues in a low androgen environment.

Strengths of this study include the use of highly sensitive and specific assays for serum steroids, the large sample size, the use of prostate biopsy to verify absence or presence of cancer, and the exclusion of men not compliant with finasteride treatment. One important weakness of this study is our assumption that the reduction in 3α-dG following finasteride treatment accurately reflects the reduction in intraprostatic DHT. It is also uncertain whether, when measured 3 years after the initiation of finasteride treatment, the associations of steroids with cancer risk are the same as those that would be observed if steroids were measured at other times after treatment initiation. The reduction in serum DHT following finasteride treatment is roughly 90% one year post-treatment and does not change thereafter; however PSA falls by approximately 45% at one year to a maximum of 60% at three years post-treatment(22). Thus, it is not entirely clear whether the post-treatment steroid concentrations used in this study precisely reflect changes that occurred soon after treatment initiation. We also relied upon self-report and/or a single blood finasteride concentration to determine treatment adherence. Nevertheless, when non-adherent men were included in the analysis there was a significant positive association of post-treatment 3α-dG with cancer risk, suggesting that this approach was valid. Additional weaknesses include the small number of men with high-grade disease, and the inability to directly calculate the conditional effects of finasteride on post-treatment estrogen concentrations.

In conclusion, we found no support for the hypothesis that lower 3α-dG following finasteride treatment, reflecting a larger reduction in intraprostatic DHT, is associated with lower risks of total or high-grade prostate cancer. There was some evidence that high pre-treatment T and E1 concentrations predict reduced and increased prostate cancer risk, respectively, but we consider this weak. There was stronger and more consistent evidence that high post-treatment concentrations of E1, E2 and free E2 are associated with increased low- and high-grade prostate cancer risk. It is possible that estrogens play a significant role in prostate cancer risk only when intraprostatic DHT is lowered pharmacologically. Further research is needed to evaluate whether low post-treatment serum estrogens could be used to identify men most likely to benefit from finasteride for prostate cancer prevention.

ACKNOWLEDGMENT

This work was funded by the following: P01-CA108964 from the National Cancer Institute; Intramural Research Program of the U.S. National Institutes of Health, National Cancer Institute, Division of Cancer Epidemiology and Genetics; P30-CA054174, the Cancer Center Support Grant for the Cancer Therapy and Research Center at the University of Texas Health Science Center at San Antonio; and P30 CA015704-36, the Cancer Center Support Grant for the Seattle Cancer Consortium, Seattle, WA.

The authors would like to acknowledge that Dr. Ronald K. Ross, University of Southern California (deceased), participated in the design of this study.

Footnotes

No author has declared a conflict of interest

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