Abstract
We hypothesized that (i) preclinical biologic evidence exists for the role of androgens in ovarian cancer development and (ii) flutamide treatment of women at high risk for ovarian cancer may identify meaningful tissue biomarkers of androgen action and of ovarian cancer initiation. We showed that androgen ablation of male mice led to a 24-fold decrease in tumor burden from serous ovarian cells. In a phase II study, we studied the effect of preoperative flutamide treatment (125 mg/day × 6 weeks) in 12 women versus 47 controls, 47% with BRCA mutation. We analyzed immunohistochemical scores of candidate proteins CSF-1, CSF-1R, and ErbB4 in the epithelium and stroma of fallopian tube, ovary, and ovarian endosalpingiosis. Flutamide decreased the levels, notably, of CSF-1 and ErbB4 in ovarian stroma (P ≤ 0.0006) and ovarian endosalpingiosis (P ≤ 0.01), ErbB4 in ovarian epithelium (P = 0.006), and CSF-1R in ovarian endosalpingiosis (P = 0.009). Our logistic regression model clearly distinguished the flutamide patients from controls (P ≤ 0.0001). Our analysis of the precision of this model of CSF-1 and ErbB4 expression in ovarian stroma achieved 100% sensitivity and 97% specificity (AUC = 0.99). Thus, our data suggest that a short 6-week exposure of flutamide reversed elevated levels of CSF-1 and ErbB4 (both of which we had previously found correlated with high risk status). CSF-1 and ErbB4 in ovarian stroma led to a model with high predictive value for flutamide sensitivity. The effect of flutamide on marker expression in ovarian endosalpingiosis, previously associated with BRCA carrier status, suggests that ovarian endosalpingiosis may be a latent precursor to pelvic serous cancers. Cancer Prev Res; 7(9); 896–905. ©2014 AACR.
Introduction
Strong evidence has accumulated that suggests an etiologic association between androgens and the development of ovarian cancer. Studies of an epidemiologic, genetic, and biologic nature have formed the basis of the evidence, already largely summarized (1–3). The ovaries and fallopian tubes are androgen-sensitive organs; at menopause, this milieu may help promote transformation of the relevant epithelium. The epidemiologic evidence includes an association between oral contraceptive pills (known to suppress testosterone production as well as ovulation) and the suppression of ovarian cancer risk, along with an association between polycystic ovarian syndrome (a hyperandrogenic milieu) and an increase in ovarian cancer risk (1). Testosterone supplementation is associated with the development of ovarian cancer (4, 5). Conflicting evidence exists regarding the possible association between serum androgen levels or androgen receptor (AR) polymorphisms and ovarian cancer risk (6–10).
Many of the biologic studies of the role of androgens, and many of the related therapeutic trials, have involved ovarian cancer cells, ovarian cancer tissue, and/or ovarian cancer patients. For instance, an AR coactivator was shown to enhance invasiveness of ovarian cancer cells (11), and the role of several androgen-regulated proteins, such as HIF-1, HuR, EGFR, and uPA, in promoting ovarian cancer have been defined (3, 12–14). AR, a marker of androgen sensitivity and the predominant sex steroid receptor expressed in ovarian cancer (15, 16), decreases after chemotherapy exposure (17), a finding that likely underlies the lack of efficacy of the antiandrogen flutamide in patients with refractory ovarian cancer (18). Antiandrogens may have the most beneficial effect earlier in the process of transformation to ovarian cancer.
Much less work has involved tissues from healthy women or from those at high risk for ovarian cancer. However, such studies have found that androgen-treated ovarian epithelial cells showed increased proliferation (19) and that androgen dysregulation in ovarian epithelial cells from women with BRCA gene mutations predicted poor survival from ovarian cancer (12).
In our current study, we searched for androgen-sensitive tissue biomarkers of ovarian cancer risk. We initially focused on a select group of biomarkers (CSF-1, CSF-1R, ErbB4), given our recent clinical study's findings of expression changes in those biomarkers in high-risk women, as compared with controls at low risk for ovarian cancer (20). In that clinical study, we observed a significant association between the presence of CSF-1 and ErbB4 in the ovary and high risk or BRCA carrier status. Specifically, we found that, in younger women, the presence of CSF-1 in ovarian epithelium and ErbB4 in ovarian stroma detected high-risk status with 73% sensitivity and 93% specificity, derived from analysis of our receiver operating characteristic (ROC) curve (20). Signaling of the macrophage colony-stimulating factor (CSF-1/CSF-1R) pathway is established as having a role in ovarian cancer progression (21–24); our recent clinical study suggested a role in ovarian cancer initiation (20). ErbB4 has been suggested as a marker that increases along the continuum from normal ovary to cancer (25); our recent clinical study found a potential role of nuclear ErbB4 in ovarian cancer initiation (20). Nonetheless, little to no information exists on the effect of androgen on either ErbB4 or CSF-1 signaling.
For our current study, we hypothesized that (i) in vivo preclinical biologic evidence exists for the role of androgens in ovarian cancer development and that (ii) flutamide treatment of high risk women may identify meaningful tissue biomarkers of androgen action and of ovarian cancer initiation. Given the clear association between androgens and ovarian carcinogenesis in the literature, along with the preclinical data we found in the first part of our current study, we designed a phase II biomarker study of flutamide treatment in high risk women who were undergoing risk-reducing salpingo-oophorectomy (RRSO). We then analyzed the effect of a 6-week course of flutamide on the inhibition of CSF-1, CSF-1R, and ErbB4 expression in the fallopian tubes and ovaries of high-risk women, as compared with a prospectively acquired cohort of controls.
Materials and Methods
Preclinical studies
To determine whether androgens could stimulate in vitro parameters of transformation, we used human epithelial ovarian cells to study the effect of DHT on invasion, chemoattractant-directed motility, and adhesiveness to an extracellular matrix barrier. These cells were also used for the in vivo studies of androgen-stimulated tumorigenicity and tumor burden in intact and castrate male nude mice.
Cells.
For our preclinical studies, we used cell lines derived from human ovarian epithelium. NOSE.1 cells are spontaneously immortalized ovarian surface epithelial cells, previously described (26). MCV152 and ML5TA cells, obtained from Louis Dubeau, were derived from SV40 large TAg transformed ovarian serous cystadenoma cells ML10 and ML5 (27), transfected with telomerase, hTERT. The cells, having the equivalent of a p53 mutation, have been used to study the effect of BRCA1 silencing on proliferation (28). These serous ovarian cells have thus been used as a model to study initiation of the high-grade pathway in ovarian carcinogenesis. We characterized these cells to contain AR, CSF-1, and CSF-1R. For comparison purposes, we used Hey cells, derived from a xenograft of a metastatic human serous ovarian cancer (29): they express CSF-1R and a large amount of CSF-1.
In vitro assays.
We performed all assays as previously described (23). The extracellular matrix barrier consisted of human laminin, type IV collagen, and gelatin. Before hormone treatments, the cells were placed in 1% NuSerum overnight. For statistical comparisons, we used the t test or ANOVA, using SigmaStat v2.03 (SPSS Inc.).
CSF-1 sandwich ELISA.
To measure secreted CSF-1 protein levels in the conditioned medium, we used CSF-1 sandwich ELISA as previously described (23). Results are reported as pg CSF-1/mL ± SEM.
In vivo tumorigenicity and tumor burden.
For all animal studies, we obtained approval from the appropriate Institutional Animal Care and Use Committee (Yale University or the University of Arizona). We first determined whether the MCV152 and ML5TA cells were tumorigenic in male nude mice. Ten male athymic NCr/nu mice were injected intraperitoneally with 1 × 106 cells each. Five mice from each group were initially sacrificed at 28 weeks, and the rest at 30 weeks. One of us, a gynecologic pathologist (W. Zheng), performed both gross and microscopic examination.
Using those cells, we next studied the effect of androgen deprivation on the extent of tumor burden. Ten intact and 10 castrate male athymic NCr/nu mice were injected intraperitoneally with 1 × 106 MCV152, or ML5TA, cells. The mice containing ML5TA cells were sacrificed at 43 weeks, and those with MCV152 were sacrificed at 47 weeks. For calculation of the total tumor volume per group, we measured tumor nodules bidirectionally. In a separate study, we measured levels of circulating testosterone, estradiol, and progesterone in the serum of intact and castrate male athymic NCr/nu mice. Testosterone levels were confirmed to be 10-fold higher in the intact mice (vs. the castrated mice), with no clear differences in estradiol or progesterone levels.
Phase II clinical trial
The University of Arizona Cancer Center multidisciplinary high risk cancer genetics clinic opened in 2004, first focusing on women at high risk for breast cancer and ovarian cancer. Potential participants for this phase II trial were given the opportunity to participate either in the treatment arm or in the control arm, or to decline participation. All participants completed a reproductive/hormone history questionnaire. Those in the treatment arm received 125 mg/day of flutamide orally for 6 weeks, until just before their surgery date. Experience has shown that high risk women who are requesting RRSO will not wait longer than 6 weeks for the surgery. Indeed, many high risk patients chose the control arm because they did not accept such a delay. This high risk control cohort along with an additional low risk control cohort in this trial was the subject of a previous report (20). The low risk control cohort was not analyzed in our current study.
High risk patients were eligible for the trial if they were ≥18 years of age, elected to undergo RRSO, and agreed to use a nonhormonal means of contraception before surgery. The criteria for high risk are defined below. Additional inclusion criteria included adequate complete blood count as well as adequate hepatic and renal function. Exclusion criteria included current liver disease, pregnancy or lactation, current use of hormone therapy, active treatment for cancer, or participation in another experimental drug study.
Flutamide, an agent that competes with testosterone for binding to AR, has been used most commonly in the treatment of prostate cancer. Generally, the dose used to treat patients with prostate cancer is significantly higher than the 125 mg/day used in our current study. Most adverse events seen are related to liver toxicity. In women, lower doses of flutamide (≤250 mg/day) have successfully been used in the treatment of hirsutism. In one study (30), 9% of women had elevated aspartate transaminase (AST) and alanine transaminase (ALT) levels within the first 60 days of 250 mg/day therapy. After we completed our current study, a 10-year study was published of low (125 mg/daily) and ultra-low (62.5 mg/daily) doses of flutamide on liver function in 203 young women with hyperandrogenism (31) showing that circulating AST/ALT levels increased in 9.4% during the first year of treatment, with 84% showing mild elevation only.
The University of Arizona institutional review board approved our current study, which we conducted in accordance with all applicable institutional and federal guidelines. During our study period (August 29, 2006–May 20, 2011), we analyzed tissues from a total of 59 high-risk women. Included were 3 high risk control patients who consented to donate samples to our tumor biorepository before undergoing RRSO. Of the 59 high risk patients, 12 took the study drug for 6 weeks before undergoing RRSO, leaving 47 high risk patients in the control group. We abstracted relevant clinical information from their medical records, such as menopausal status, body mass index, personal cancer history, genetic mutation status for the BRCA1, BRCA2, and Lynch syndrome mutations, and family history of cancer.
Criteria for high risk.
Women at high risk for ovarian cancer carried a BRCA1 or BRCA2 deleterious mutation (47.5%), a Lynch syndrome mutation (1 case), and/or defined by a family history of: ≥1 first-degree relative with epithelial ovarian cancer (24%), ≥1 first-degree female relative with breast cancer when ≤40 years old (40.7%), >1 first-degree female relative with breast cancer when ≤50 years old (30.5%), male relative with breast cancer (2 cases), and/or family history of breast cancer and ovarian cancer (92%). The majority (57.6%) of the high risk patients also had a personal history of breast cancer, with a median age at diagnosis of 43 years (range, 26–60 years). The BRCA mutation distribution favored BRCA2 over BRCA1, representative of our high risk clinic population (32).
Pathologic analysis.
All patients had undergone removal of at least 1 ovary and 1 fallopian tube. All fallopian tubes and ovaries chosen for our immunohistochemical analysis were morphologically unremarkable. In addition, 83% of the high risk patients underwent a concomitant hysterectomy as part of their risk-reducing surgery.
The University of Arizona procedure for pathologic analysis of fallopian tubes and ovaries from high risk women begins with a complete submission of the tissues, with sections of the tubal fimbria taken by optimizing the surface area of the tubal fimbria by the SEE-FIM protocol (33, 34). One of us (W. Zheng) examined the tissues, paying attention to serous intraepithelial carcinoma and dysplasia within the fallopian tube (mainly tubal fimbria), as well as to endosalpingiosis within the ovary. P53 staining to search for p53 signatures was performed in the fallopian tube and in the ovary.
Immunohistochemical analysis.
We mounted 5-μm sections of ovary and fallopian tube on slides and subjected them to deparaffinization, dehydration, quenching in methanol, rehydration, and antigen retrieval in 10 mmol/L citrate buffer (pH 7.0) under high pressure and at high temperature. Staining for all antibodies (Abcam ab19391, for ErbB4; ab61137, for CSF-1R; and ab9693, for CSF-1) was first optimized on control tissues, on review by one of us (W. Zheng). Slides were blocked with serum and stained with primary antibody, then incubated overnight. Negative controls included the absence of the primary antibody. A biotinylated secondary antibody was then added and incubated for an hour the next day. Afterwards, the slides were stained with an avidin–biotin enzyme complex (ABC Kit, Vector Labs) to increase the staining specificity. Slides were then stained with a solution of 3, 3′-diaminobenzidine (Vector Labs), counterstained in hematoxylin, dehydrated, and permanently mounted. Slides were scored by two of us (N. AbuShahin and W. Zheng), both blinded to the treatment group. The intensity of stain (0–3) and the percentage of area stained (0%–100%) were multiplied to yield a product (total score), as previously described (20–22). In addition to cytoplasmic stains, nuclear stains were also scored when present, specifically in reference to the nuclear staining for ErbB4. Within the ovary and fallopian tube (ampulla and fimbria), we separately scored epithelium and stroma. Finally, we specifically scored the biomarker stains in ovarian endosalpingiosis.
Statistical analysis
To summarize patients' demographic characteristics, we used descriptive statistics, depending on the underlying distribution. To compute correlations between quantitative variables, we used the Kendall τ rank correlation and between qualitative variables, the Fisher exact test. To compute differences between biomarkers for flutamide-treated women and controls, we used the Wilcoxon rank sum test.
To distinguish between the flutamide-treated women and controls, we developed logistic regression models using the abovementioned biomarkers and patient characteristics. To check the assumptions of the models, we used univariate and multivariate modeling. The result of our final logistic model was used to create the ROC curve (to estimate the precision of the model) and also to compute the best estimates for sensitivity and specificity. The area under the curve (AUC) is a reliable estimate of the predictive power of the model. An AUC value of ≥0.8 represents good predictive power.
We defined the statistical significance as P < 0.05. All computations were performed using SAS 9.3.
Results
Preclinical in vitro studies
We found that DHT significantly stimulated motility, by 1.6-fold, of MCV152 cells toward fibronectin (Fig. 1A; P = 0.001). In fact, with DHT stimulation, the degree of motility matched that of the Hey ovarian cancer cells. These results were validated in both NOSE.1 cells (in which DHT significantly stimulated motility, by 1.6- to 2.2-fold, in different experiments), and in ML5TA cells (in which DHT stimulated a small, by 1.2-fold, but significant increase in motility).
A, androgen treatment increased the directed motility of MCV152 cells toward fibronectin. MCV152 cells with or without 10 nmol/L DHT for 66 hours, were studied for directed motility compared with Hey ovarian cancer cells. DHT treatment led to a significant increase in cellular motility compared with vehicle control–treated cells (5.16 ± 0.53 vs. 8.16 ± 0.65, P = 0.001), and matched the motility of the invasive Hey cells (8.24 ± 0.59). Each bar represents the mean value of 4 separate experiments. Error bars represent ± SEM. B, androgen treatment increased, while the antiandrogen flutamide decreased, the invasiveness of NOSE.1 cells (P < 0.001). NOSE.1 cells were treated with vehicle (control), 5 μmol/L flutamide, or 10 nmol/L DHT for 48 hours during the invasion assay. Treatment of NOSE.1 cells with DHT led to a significant increase in ability to invade through extracellular matrix by 3.6-fold compared with control (2.54 ± 0.32 vs. 9.20 ± 0.82). In contrast, flutamide treatment led to an inhibition in invasiveness (by 0.68-fold), versus control. Hey ovarian cancer cells remained much more invasive (by 2.7-fold) than the DHT-treated NOSE.1 cells. Error bars represent ± SEM.
A, androgen treatment increased the directed motility of MCV152 cells toward fibronectin. MCV152 cells with or without 10 nmol/L DHT for 66 hours, were studied for directed motility compared with Hey ovarian cancer cells. DHT treatment led to a significant increase in cellular motility compared with vehicle control–treated cells (5.16 ± 0.53 vs. 8.16 ± 0.65, P = 0.001), and matched the motility of the invasive Hey cells (8.24 ± 0.59). Each bar represents the mean value of 4 separate experiments. Error bars represent ± SEM. B, androgen treatment increased, while the antiandrogen flutamide decreased, the invasiveness of NOSE.1 cells (P < 0.001). NOSE.1 cells were treated with vehicle (control), 5 μmol/L flutamide, or 10 nmol/L DHT for 48 hours during the invasion assay. Treatment of NOSE.1 cells with DHT led to a significant increase in ability to invade through extracellular matrix by 3.6-fold compared with control (2.54 ± 0.32 vs. 9.20 ± 0.82). In contrast, flutamide treatment led to an inhibition in invasiveness (by 0.68-fold), versus control. Hey ovarian cancer cells remained much more invasive (by 2.7-fold) than the DHT-treated NOSE.1 cells. Error bars represent ± SEM.
DHT increased invasiveness of NOSE.1 cells by 3.6-fold (as compared with controls), as shown in a representative experiment (Fig. 1B; P < 0.001). This significant finding was validated in MCV152 cells (1.54-fold). Figure 1B also shows that the antiandrogen flutamide inhibited invasiveness through an extracellular matrix barrier: a decrease of 0.68-fold. The invasive and virulent Hey cells still retained a high degree of invasiveness, higher by 2.7-fold as compared with the DHT-treated NOSE.1 cells.
Adhesiveness to extracellular matrix of MCV152 cells was not affected by DHT treatment. Treatment of MCV152 cells with DHT for 66 hours did not lead to any difference in adhesiveness, as compared with vehicle-treated cells (OD585: 0.431 ± 0.042 vs. 0.438 ± 0.037, respectively). Hey cells retained a superior ability to adhere to matrix components (OD585: 0.649 ± 0.011; P = 0.0023).
In light of our in vitro findings suggesting that DHT increased parameters of transformation, and the evidence in the literature supporting CSF-1 enhancement of tumorigenicity and metastasis in ovarian cancer (23, 24), we next studied the effect of 10 nmol/L DHT or etiocholanolone (controls) for 66 hours on secreted CSF-1 levels in the conditioned medium of NOSE.1 cells. DHT increased CSF-1 levels increased by 2.9-fold, from 1.4 ± 0.25 to 4.1 ± 1.1 pg/mL; P = 0.037). Similarly, DHT increased CSF-1 levels in MCV152 cells by 2.0-fold.
Preclinical in vivo studies
We next studied whether serous ovarian cells had the capacity to form tumors in male mice. A previous report had suggested that such cells may not be tumorigenic in female mice (27). It is understood that male mice have significantly higher androgens than do female mice, and thus these experimental results may not be directly translatable to women. Yet, we reasoned that a clear effect on tumorigenicity should be able to be demonstrated in a model of high androgen exposure. Figure 2A shows that both MCV152 and ML5TA cells were tumorigenic up to 60% of the time in intact male nude mice. Tumor growth of ML5TA cells appeared to lag, as compared with MCV152 cells (P = 0.057). However, by 30 weeks, both cell lines evinced a similar degree of tumorigenicity. Microscopic examination of tumors generated from both cell lines confirmed a moderately differentiated invasive cancer, similar to typical human serous ovarian cancer (read by W. Zheng).
A, ovarian serous epithelial cells are tumorigenic in male nude mice. B, extent of tumor burden in intact and castrate male nude mice from ovarian serous epithelial cells. The total tumor volume was dramatically less, by 24-fold, when the cells were implanted in castrate male mice.
A, ovarian serous epithelial cells are tumorigenic in male nude mice. B, extent of tumor burden in intact and castrate male nude mice from ovarian serous epithelial cells. The total tumor volume was dramatically less, by 24-fold, when the cells were implanted in castrate male mice.
We then determined, in a separate experiment, the effect of androgen ablation on the extent of tumor burden from ML5TA and MCV152 cells in male nude mice. When we analyzed the ML5TA cells for the number of tumors per mouse, the castrate male mice averaged 1.1 tumors each, whereas the intact male mice averaged 3.2 tumors each. When we analyzed the total tumor volume as a measure of the extent of tumor burden (Fig. 2B), the castrate male group had a volume of 1,270 mm3, whereas the intact male group had a volume of 30,521 mm3. This represents a dramatic 24-fold decrease in tumor burden with androgen ablation. The results with MCV152 cells paralleled those with ML5TA cells, with a 16.4-fold decrease in the total tumor volume between intact and castrate males.
We found a statistically significant difference between the groups in the total tumor volume per mouse when 1 clear outlier mouse was removed from the analysis (P = 0.01); otherwise the results were notable (P = 0.1). Thus, it appears that castrate male nude mice with approximately 10-fold less circulating androgens had a lag in tumor latency, along with fewer tumors and a reduced total tumor volume per mouse, as compared with intact male nude mice.
Phase II clinical trial
In our patients, we found that flutamide at 125 mg/day for 6 weeks was well tolerated, as expected. Two patients (16.7%) experienced grade 1 nausea or noticed a change in the color of their urine. However, we observed no abnormalities in liver function test results.
We found no significant demographic differences between the 2 groups (flutamide vs. controls) except that a personal history of breast cancer was more common in the controls (P < 0.001; Table 1).
Patient characteristics
. | Flutamide (n = 12) . | Control (n = 47) . | . |
---|---|---|---|
. | n (%) . | n (%) . | P . |
Age, y | NS | ||
Mean ± SD (range) | 45.2 ± 8.4 (36–58) | 46.9 ± 9.1 (27–66) | |
Menopause | NS | ||
Yes | 3 (25) | 20 (43) | |
No | 9 (75) | 26 (57) | |
BMI | NS | ||
Mean ± SD (range) | 26.2 ± 7.1 (19.3–45.0) | 28.9 ± 7.4 (20.1–56.2) | |
Number of pregnancies | NS | ||
0 | 2 (16) | 6 (13) | |
1–3 | 9 (74) | 27 (59) | |
≥4 | 1 (8) | 13 (28) | |
Hormone replacement | |||
Estrogen only | NS | ||
Ever | 1 (20) | 4 (11) | |
Never | 4 (80) | 30 (88) | |
Progesterone only | NS | ||
Ever | 1 (20) | 0 (0) | |
Never | 4 (80) | 34 (100) | |
Combined | NS | ||
Ever | 2 (40) | 2 (6) | |
Never | 3 (60) | 30 (93) | |
Oral contraceptive use | NS | ||
Ever | 7 (58) | 33 (76) | |
Never | 5 (42) | 10 (23) | |
Endometriosis | NS | ||
Yes | 1 (8) | 2 (4) | |
No | 11 (92) | 45 (96) | |
History of breast cancer | <0.001 | ||
Yes | 1 (8) | 33 (70) | |
No | 11 (92) | 14 (30) | |
BRCA positive | NS | ||
Yes | 9 (75) | 19 (40) | |
No | 2 (17) | 19 (40) | |
Not tested | 1 (8) | 9 (19) | |
History of tubal ligation/hysterectomy | NS | ||
Yes | 4 (33) | 14 (31) | |
No | 8 (67) | 31 (69) |
. | Flutamide (n = 12) . | Control (n = 47) . | . |
---|---|---|---|
. | n (%) . | n (%) . | P . |
Age, y | NS | ||
Mean ± SD (range) | 45.2 ± 8.4 (36–58) | 46.9 ± 9.1 (27–66) | |
Menopause | NS | ||
Yes | 3 (25) | 20 (43) | |
No | 9 (75) | 26 (57) | |
BMI | NS | ||
Mean ± SD (range) | 26.2 ± 7.1 (19.3–45.0) | 28.9 ± 7.4 (20.1–56.2) | |
Number of pregnancies | NS | ||
0 | 2 (16) | 6 (13) | |
1–3 | 9 (74) | 27 (59) | |
≥4 | 1 (8) | 13 (28) | |
Hormone replacement | |||
Estrogen only | NS | ||
Ever | 1 (20) | 4 (11) | |
Never | 4 (80) | 30 (88) | |
Progesterone only | NS | ||
Ever | 1 (20) | 0 (0) | |
Never | 4 (80) | 34 (100) | |
Combined | NS | ||
Ever | 2 (40) | 2 (6) | |
Never | 3 (60) | 30 (93) | |
Oral contraceptive use | NS | ||
Ever | 7 (58) | 33 (76) | |
Never | 5 (42) | 10 (23) | |
Endometriosis | NS | ||
Yes | 1 (8) | 2 (4) | |
No | 11 (92) | 45 (96) | |
History of breast cancer | <0.001 | ||
Yes | 1 (8) | 33 (70) | |
No | 11 (92) | 14 (30) | |
BRCA positive | NS | ||
Yes | 9 (75) | 19 (40) | |
No | 2 (17) | 19 (40) | |
Not tested | 1 (8) | 9 (19) | |
History of tubal ligation/hysterectomy | NS | ||
Yes | 4 (33) | 14 (31) | |
No | 8 (67) | 31 (69) |
Abbreviations: BMI, body mass index; NS, not significant.
The effect of flutamide on CSF-1 and ErbB4 was dramatic (Table 2). Its predominant effect was in the ovary, either in the stroma or in the epithelial cells comprising endosalpingiosis. In the ovarian stroma, flutamide significantly decreased expression of both CSF-1 (P = 0.0006) and ErbB4 (P < 0.0001), with no significant correlation between the 2 biomarkers. CSF-1 in ovarian stroma was correlated with CSF-1 in the fimbria epithelium in the flutamide-treated group only (P = 0.003). In the ovarian epithelium, flutamide also significantly decreased the expression all 3 biomarkers, but less strongly than observed in the ovarian stroma: CSF-1 (P = 0.01), ErbB4 (P = 0.006), and CSF-1R (P = 0.04). In ovarian endosalpingiosis, flutamide also significantly decreased the expression of all 3 biomarkers: CSF-1 (P = 0.01), ErbB4 (P = 0.005), and CSF-1R (P = 0.009). In general, the effect of flutamide on CSF-1R was less dramatic, except in endosalpingiosis (P = 0.009). Our analysis of the fallopian tube for expression of these biomarkers did not yield such significant findings. Representative examples of the effect of flutamide on immunohistochemical staining for those biomarkers in the relevant tissues are shown in Fig. 3.
A, positive and negative immunohistochemical controls for CSF-1 (human cervical stromal cells), ErbB4 (cerebral cortex), and CSF-1R (placenta) expression are shown. Representative examples of CSF-1, ErbB4, and CSF-1R expression in high risk control and flutamide groups are shown in B (ovarian stroma and epithelium), with total scores for staining in parentheses (epithelium/stroma) and in C (ovarian endosalpingiosis), with total scores for staining in parentheses.
A, positive and negative immunohistochemical controls for CSF-1 (human cervical stromal cells), ErbB4 (cerebral cortex), and CSF-1R (placenta) expression are shown. Representative examples of CSF-1, ErbB4, and CSF-1R expression in high risk control and flutamide groups are shown in B (ovarian stroma and epithelium), with total scores for staining in parentheses (epithelium/stroma) and in C (ovarian endosalpingiosis), with total scores for staining in parentheses.
Immunohistochemical scores
Adnexal site . | Biomarker . | Flutamide (n = 12) vs. control (n = 47); Pa . | BRCA Mutation carriers only: flutamide (n = 9) vs. control (n = 19); P . |
---|---|---|---|
Ampulla epithelium | CSF-1 | NS | 0.031 |
ErbB4 | NS | NS | |
CSF-1R | NS | NS | |
Ampulla stroma | CSF-1 | NS | NS |
ErbB4 | NS | NS | |
CSF-1R | NS | NS | |
Fimbria epithelium | CSF-1 | NS | NS |
ErbB4 | NS | NS | |
CSF-1R | NS | NS | |
Fimbria stroma | CSF-1 | 0.01 | NS |
ErbB4 | NS | NS | |
CSF-1R | NS | NS | |
Ovarian endosalpingiosis | CSF-1 | 0.012 | 0.051 |
ErbB4 | 0.005 | 0.010 | |
CSF-1R | 0.009 | 0.005 | |
Ovarian epithelium | CSF-1 | 0.010 | 0.010 |
ErbB4 | 0.006 | 0.015 | |
CSF-1R | 0.037 | NS | |
Ovarian stroma | CSF-1 | 0.0006 | 0.003 |
ErbB4 | <0.0001 | 0.001 | |
CSF-1R | 0.010 | NS |
Adnexal site . | Biomarker . | Flutamide (n = 12) vs. control (n = 47); Pa . | BRCA Mutation carriers only: flutamide (n = 9) vs. control (n = 19); P . |
---|---|---|---|
Ampulla epithelium | CSF-1 | NS | 0.031 |
ErbB4 | NS | NS | |
CSF-1R | NS | NS | |
Ampulla stroma | CSF-1 | NS | NS |
ErbB4 | NS | NS | |
CSF-1R | NS | NS | |
Fimbria epithelium | CSF-1 | NS | NS |
ErbB4 | NS | NS | |
CSF-1R | NS | NS | |
Fimbria stroma | CSF-1 | 0.01 | NS |
ErbB4 | NS | NS | |
CSF-1R | NS | NS | |
Ovarian endosalpingiosis | CSF-1 | 0.012 | 0.051 |
ErbB4 | 0.005 | 0.010 | |
CSF-1R | 0.009 | 0.005 | |
Ovarian epithelium | CSF-1 | 0.010 | 0.010 |
ErbB4 | 0.006 | 0.015 | |
CSF-1R | 0.037 | NS | |
Ovarian stroma | CSF-1 | 0.0006 | 0.003 |
ErbB4 | <0.0001 | 0.001 | |
CSF-1R | 0.010 | NS |
aStatistical significance was defined as P < 0.05.
Abbreviation: NS, not significant.
When we restricted the biomarker analysis of the effect of flutamide to women who carry a BRCA mutation, our important findings remained applicable in this subset of high risk patients. The effect of flutamide on CSF-1 and ErbB4 staining is still highly significant in the ovarian stroma, as is its effect on all 3 biomarkers in ovarian endosalpingiosis (Table 2).
Of the 59 patients in our high risk cohort, 45 (76.3%) had ovarian endosalpingiosis. We described in our previous report (20) an association between endosalpingiosis and both high risk and BRCA carrier status. In our current study, we found that the epithelial cells comprising ovarian endosalpingiosis were particularly sensitive to the effect of flutamide. Expression of all 3 biomarkers studied underwent significant downregulation after flutamide treatment of only 6 weeks (Fig. 3). We also observed in our previous report (20) that nuclear ErbB4 staining, which may represent a component of ErbB4 signaling, was associated with both high risk and BRCA carrier status. We had observed nuclear ErbB4 staining mainly in the epithelial cells of the fimbria and of ovarian endosalpingiosis, but in our current study's high-risk cohort, nuclear ErbB4 was not sensitive to flutamide.
Our logistic regression model clearly distinguished between flutamide-treated women and controls (P < 0.0001). The most powerful variables on univariate analysis proved to be ErbB4 in ovarian stroma, with 82% sensitivity and 89% specificity (AUC = 0.94) and CSF-1 in ovarian stroma, with 82% sensitivity and 78% specificity (AUC = 0.84). When we restricted our analysis to BRCA carriers, ErbB4 and CSF-1 in ovarian stroma retained their strong predictive value (AUC = 0.95 and AUC = 0.85, respectively). In high risk patients, a combined model of CSF-1 and ErbB4 expression in ovarian stroma achieved an impressive 100% sensitivity and 97% specificity (AUC = 0.99; Fig. 4).
This ROC curve resulting from our logistic regression model of CSF-1 and ErbB4 expression in ovarian stroma emphasizes the clear effect of flutamide in patients. The dashed diagonal line represents no logistic model effect. The ROC curve plots sensitivity that represents the true positive rate of all flutamide-treated women versus (1 − specificity) the rate of false positives of all flutamide-treated women at various thresholds of the logistic regression model. The AUC is an indicator of the precision of the model. The point closest to the top left corner defines the optimal cut point for the prediction. The model of CSF-1 and ErbB4 expression in the ovarian stroma as represented by the ROC curve demonstrates a sensitivity of 100% and a specificity of 97% (C = 0.99) when differentiating between flutamide and control patients.
This ROC curve resulting from our logistic regression model of CSF-1 and ErbB4 expression in ovarian stroma emphasizes the clear effect of flutamide in patients. The dashed diagonal line represents no logistic model effect. The ROC curve plots sensitivity that represents the true positive rate of all flutamide-treated women versus (1 − specificity) the rate of false positives of all flutamide-treated women at various thresholds of the logistic regression model. The AUC is an indicator of the precision of the model. The point closest to the top left corner defines the optimal cut point for the prediction. The model of CSF-1 and ErbB4 expression in the ovarian stroma as represented by the ROC curve demonstrates a sensitivity of 100% and a specificity of 97% (C = 0.99) when differentiating between flutamide and control patients.
Our pathologic analysis found that none of the fallopian tubes had serous intraepithelial carcinoma. We observed the P53 signature in 10.5% of the high risk control patients with BRCA mutations and only in the fallopian tube fimbria. We did not see a P53 signature in the flutamide-treated tissues. Because of the significance of CSF-1 expression in the ovarian stroma, CD34 costaining was studied in 3 patients. We found that the stromal fibroblasts costain for both CD34 and CSF-1, while endothelial cells stain for CD34, and focally for CSF-1.
Discussion
The effect of a short course of the antiandrogen flutamide on the selected tissue biomarkers in these high risk patients was dramatic. Our ROC analysis most clearly differentiated, with 100% sensitivity and 97% specificity, between adnexal tissues that were sensitive and were not sensitive to the effect of flutamide. Both our preclinical in vitro and in vivo biologic data support the contribution of androgens in the environment on transformation of ovarian serous epithelial cells. Our collective data warrants a follow-up study to determine whether flutamide, or another antiandrogen, can be used as an effective chemopreventive agent for pelvic serous carcinoma.
An important criterion for chemoprevention is the clinical tolerability of the agent. We used a well-studied and relatively weak antiandrogen, but one whose toxicity at the dose given was predicted to be very low. We showed that flutamide in high risk women over a short duration was tolerated extremely well. On the basis of subsequent long-term follow-up data from the hyperandrogenism literature (31), it appears that flutamide can be tolerated at this low dose for several years in most women. Its use for only 6 weeks still allowed us to identify potential tissue biomarkers of androgen action. Newer, more potent anti-AR agents are also available for future study. In ovarian cancer, one such agent (bicalutamide) has been evaluated as a type of maintenance therapy (35), but not as a chemopreventive agent.
We previously found that CSF-1 in ovarian epithelium, and ErbB4 in ovarian stroma, were significantly associated with high risk status, when compared with a low risk control cohort (20). Our current study now adds the finding that flutamide has a type of field effect on those 2 tissue biomarkers, an effect that is not restricted to ovarian epithelium, stroma, or endosalpingiosis. We noted a significant effect of flutamide on downregulation of CSF-1 and ErbB4 in ovarian epithelium, and of ErbB4 in ovarian stroma, an effect that we construe as a reversal of expression of the biomarkers associated with high risk or BRCA carrier status.
However, we also observed the emphasis of flutamide on altering the expression of CSF-1 and ErbB4 in the ovarian stromal (versus epithelial) compartment, a highly significant finding that was the basis of our impressive ROC results. We interpret these flutamide-induced changes (which occurred widely within different regions of the ovary, as well as specifically in the stroma) to suggest a microenvironment effect on the adnexae. We predict that apparent downregulation of global androgen action may be inhibitory for development of pelvic serous carcinomas. Each of the 3 genes appear to be regulated by different mechanisms, and their downregulation by flutamide is unlikely to be primarily a direct antiandrogen effect, although we did observe a modest effect, by 2- to 3-fold, of DHT on stimulation of secreted CSF-1 levels in vitro.
In our previous report, we found an association between ovarian endosalpingiosis and both high-risk and BRCA carrier status (20). Also in that previous report, we noted an association, particularly in ovarian endosalpingiosis, between biomarker changes (ErbB4 and CSF-1R) and, specifically, BRCA carrier status (20). In our current study, we observed dramatic inhibition by flutamide of expression of all 3 biomarkers (CSF-1, CSF-1R, and ErbB4) in the epithelial cells comprising ovarian endosalpingiosis. Ovarian endosalpingiosis has been suggested to be a precursor to low-grade pelvic serous carcinomas (36, 37). High risk and BRCA status, however, is most clearly associated with high-grade pelvic serous carcinomas. The effect of flutamide on biomarker expression in endosalpingiosis in our high risk patients strengthens the likelihood that ovarian endosalpingiosis may be a latent precursor to pelvic serous cancers. Our data also add food for thought when considering the possibility that low-grade serous cancers may be related to high risk and BRCA status.
In summary, we observed a dramatic effect of the antiandrogen flutamide on select biomarker expression in the adnexa of high risk women. CSF-1 and ErbB4 expression in the ovarian stroma was highly sensitive and specific for flutamide sensitivity. Flutamide also reversed biomarker changes (ErbB4 in ovarian stroma and CSF-1 in ovarian epithelium) that we previously found to be most associated with high risk status (20). Future studies of this cohort should include a global approach to biomarker identification, which will undoubtedly lead to identification of many more androgen-sensitive biomarkers in the epithelium and stroma of the fallopian tube and ovary, as well as in ovarian endosalpingiosis. In particular, our findings strongly warrant a follow-up study in high risk women to determine whether flutamide (or another antiandrogen) can be used as an effective chemopreventive agent for pelvic serous carcinoma.
Disclosure of Potential Conflicts of Interest
No potential conflicts of interest were disclosed.
Authors' Contributions
Conception and design: C. Gruessner, M. Azodi, W. Zheng, S.K. Chambers
Development of methodology: C. Gruessner, Y. Zhou, M. Azodi, S.K. Chambers
Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): C. Gruessner, S. Pinkerton, X. Yi, J.B. Stoffer, M. Azodi, W. Zheng, S.K. Chambers
Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): C. Gruessner, A. Gruessner, N. AbuShahin, X. Yi, M. Azodi, S.K. Chambers
Writing, review, and/or revision of the manuscript: C. Gruessner, A. Gruessner, K. Glaser, C. Laughren, W. Zheng, S.K. Chambers
Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): C. Gruessner, K. Glaser, Y. Zhou, C. Laughren, H. Wright, M. Azodi, S.K. Chambers
Acknowledgments
The authors appreciate the contributions of Janice L. Cohen, Katie Lux, Nancy L. Folk, Nathalie Bonafe, Eugene P. Toy, Ina Menzl, Cynthia L. David, and HoHyung Woo.
Grant Support
This work was supported by NIH grant CA097347 (to S. Chambers), by NIH grant HL007479 sponsored Medical Student Research Program (to C. Gruessner), by University of Arizona Cancer Center Support grant NIH CA023074 (to S. Chambers), a grant from the Ovarian Cancer Research Fund (to S. Chambers), and a Better than Ever Women's Cancers Research grant (to S. Chambers). The work was also supported by the University of Arizona Cancer Center Clinical Research and Experimental Mouse Shared Services. Clinical Trial Registration: clinicaltrials.gov identifier: NCT00699907.
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