Purpose: FOXA1, a forkhead family transcription factor, is essential for optimum expression of ∼50% of estrogen receptor α (ERα):estrogen responsive genes. FOXA1 is expressed in breast cancer cells. It segregates with genes that characterize the luminal subtypes in DNA microarray analyses. The utility of FOXA1 as a possible independent prognostic factor has not been determined in breast cancers.

Materials and Methods: A tissue microarray comprising tumors from 438 patients with 15.4 years median follow-up was analyzed for FOXA1 expression by immunohistochemistry. Interpretable FOXA1 expression obtained in 404 patients was analyzed along with other prognostic factors like tumor grade, size, nodal status, ER, progesterone receptor (PR), and HER2/neu.

Results: FOXA1 expression (score >3) was seen in 300 of 404 breast cancers and it correlated with ER (P = 0.000001), PR (P = 0.00001), and luminal A subtype (P = 0.000001). Loss of expression was noted with worsening tumor grade (P = 0.001). Univariate analysis showed nodal status (P = 0.0000012), tumor size (P = 0.00001), FOXA1 (P = 0.0004), and ER (P = 0.012) to be predictors of breast cancer–specific survival. Multivariate analysis showed only nodal status (P = 0.001) and tumor size (P = 0.039) to be significant prognostic factors, whereas FOXA1 (P = 0.060) and ER (P = 0.131) were not significant. In luminal subtype A patient subgroup, FOXA1 expression was associated with better cancer-specific survival (P = 0.024) and in ER-positive subgroup, it was better predictor of cancer-specific survival (P = 0.009) than PR (P = 0.213).

Conclusion: FOXA1 expression correlates with luminal subtype A breast cancer and it is significant predictor of cancer-specific survival in patients with ER-positive tumors. Prognostic ability of FOXA1 in these low-risk breast cancers may prove to be useful in clinical treatment decisions.

Estrogen receptor (ER) expression is a good predictive and prognostic factor in breast cancer. However, not all ER-positive breast cancers behave alike. Knowing why and how some ER-positive breast cancers behave differently than others is important from both research and clinical viewpoint. A clinician will certainly be more pleased to know which patients with ER-positive breast cancers need to be treated aggressively and a research scientist would be interested in knowing the pathways involved in these different behaviors and if any of those can serve as therapeutic targets.

Estrogen plays an important role in the growth, proliferation, and differentiation of mammary epithelium. ERα and ERβ mediate the biological action of estrogen by functioning as estrogen-activated transcription factors (1, 2). ERα is expressed in 10% to 15% of luminal epithelial cells of normal breast and these cells are generally considered slowly proliferating and well-differentiated cell types (3). However, >50% of breast cancers express ERα at the time of initial diagnosis (1). These findings suggest a distinct role for ERα in the growth of normal, immortalized, and transformed mammary epithelial cells. Identifying signaling pathways that control these distinct functions of ERα may provide a unique opportunity to develop agents that prevent transformation of ERα-positive luminal epithelial cells from a slowly proliferating and well-differentiated phenotype to a rapidly proliferating aggressive phenotype.

Recent gene expression profiling studies have classified breast cancer into five distinct subtypes with unique molecular characteristics and prognostic significance (4, 5). These include luminal subtypes A and B, HER2+/ER−, basal-like, and normal-like subtypes. Luminal subtypes A and B are ERα-positive breast cancers with subtype A expressing higher levels of ERα and having a better prognosis than subtype B (5). Why patients with luminal subtype A tumors have better prognosis than patients with luminal subtype B tumors is not known. One possible explanation is that ERα functions differently in luminal A versus luminal B cancers, which may be due to the influence of additional factors, including transcription factors, coactivators, and corepressors that modulate ERα activity.

Transcription factors that are coexpressed with ERα in luminal subtype A include GATA3 and XBP-1 (4, 6). FOXA1/HNF3α, a forkhead family transcription factor, is receiving considerable attention with respect to ERα function because it interacts with cis-regulatory regions in heterochromatin and enhances the interaction of ERα with chromatin (7). Recent studies have shown the requirement of FOXA1 for optimum expression of ∼50% of ERα-regulated genes and estrogen-induced proliferation (79). Thus, estrogen:ERα dependency of breast cancers for survival or proliferation may be related to the expression levels of FOXA1. Although previous studies have shown the coexpression of FOXA1, GATA3, XBP-1, and ERα in cell lines and breast cancer samples at the mRNA level (6, 10, 11), a detailed protein analysis relating FOXA1 to ERα and other disease markers such as progesterone receptor (PR), HER2, nodal status, and histologic grade and prognostic significance of such association have not been reported. We did immunohistochemistry for FOXA1 expression in breast carcinoma tissues of 438 patients with median follow-up of 15.4 years and compared FOXA1 expression with various established disease markers and breast cancer–specific survival. We show that FOXA1 expression is associated with ERα positivity, the luminal subtype A, and better breast cancer–specific survival.

Patient information and tissue microarray. A tissue microarray comprising duplicate cores of tumors from 438 patients with a median follow-up of 15.4 years was analyzed for FOXA1 expression. These samples were obtained from archival cases at Vancouver General Hospital between 1974 and 1995. Patient information, tumor pathology, tissue microarray preparation, and the expression of a number of biomarkers have been reported previously (Supplementary Information; ref. 12) and summarized in Table 1. Complete clinical treatment details are not available for all patients, which is a limitation of this cohort. In addition to the tissue microarrays, analysis of FOXA1 expression was done on normal breast tissue obtained from reduction mammoplasty specimens. As all personal identifiers had been removed from these samples, information about age or coexisting disease was not available for the normal samples. The study was approved by institutional review boards at Vancouver General Hospital and Indiana University School of Medicine.

Table 1.

Description of the patients and characteristics of their tumors

CharacteristicsData
Age at diagnosis, y  
    Mean 61.01 
    Median 63 
    Range 59.03 
Lymph node status, n (%)  
    Negative 266 (60.7) 
    Positive 126 (28.8) 
    Unknown 46 (10.5) 
ER status, n (%)  
    Negative 93 (21.5) 
    Positive 216 (49.3) 
    Unknown 129 (29.4) 
Tumor grade, n (%)  
    I 94 (21.5) 
    II 236 (53.9) 
    III 108 (24.6) 
Tumor size, n (%)  
    ≤5 mm 4 (2.2) 
    ≤1 cm 64 (14.6) 
    ≤2 cm 142 (32.4) 
    >2 cm 147 (33.6) 
    Unknown 81 
Histology, n (%)  
    DCIS 16 (3.6) 
    IDC, NOS 353 (80.5) 
    IDC, variants 24 (5.5) 
    ILC 43 (10) 
    IDC and ILC 2 (0.4) 
CharacteristicsData
Age at diagnosis, y  
    Mean 61.01 
    Median 63 
    Range 59.03 
Lymph node status, n (%)  
    Negative 266 (60.7) 
    Positive 126 (28.8) 
    Unknown 46 (10.5) 
ER status, n (%)  
    Negative 93 (21.5) 
    Positive 216 (49.3) 
    Unknown 129 (29.4) 
Tumor grade, n (%)  
    I 94 (21.5) 
    II 236 (53.9) 
    III 108 (24.6) 
Tumor size, n (%)  
    ≤5 mm 4 (2.2) 
    ≤1 cm 64 (14.6) 
    ≤2 cm 142 (32.4) 
    >2 cm 147 (33.6) 
    Unknown 81 
Histology, n (%)  
    DCIS 16 (3.6) 
    IDC, NOS 353 (80.5) 
    IDC, variants 24 (5.5) 
    ILC 43 (10) 
    IDC and ILC 2 (0.4) 

Abbreviations: DCIS, ductal carcinoma in situ; IDC, infiltrating ductal carcinoma; ILC, infiltrating lobular carcinoma; NOS, not otherwise specified.

Immunohistochemical staining for FOXA1. Expression of FOXA1 was analyzed using goat anti-human FOXA1 antibody (Santa Cruz Biotechnology) by immunohistochemistry. After dewaxing and hydration, 4 μm sections from formalin fixed paraffin-embedded tissue were treated with 0.05% citraconic anhydride (pH 7.40) in a decloaking chamber (BioCare) with chamber settings of SP1: 98°C for 45 min, and SP2: 0 s. The slides were then cooled for 20 min at room temperature. Endogenous peroxidase activity was blocked by Peroxo-block (Invitrogen Corporation) for 2 min. Nonspecific binding of antibodies were blocked with serum-free protein block (Dako) for 15 min. The slides were then incubated with polyclonal goat FOXA1 antibodies (1:250, Santa Cruz Biotechnology) for 1 h at room temperature. The sections were incubated with anti-goat horseradish peroxidase polymer conjugate (Invitrogen) according to the manufacturer's instructions. The stain was visualized using 3,3′-diaminobenzidine plus (Dako) and hematoxylin QS (Vector Laboratories) counterstain. To verify the specificity of staining, nonimmune goat serum and PBS controls were used. Interpretable staining was obtained in 404 of 438 patients. Percentage of staining was categorized as “0” if there was no nuclear expression, “1” for up to 10% positive tumor nuclei, “2” for 11% to 20% and so on till a maximum score of “10.” Intensity was scored as “1+,” “2+,” and “3+” for weak, moderate, and strong staining, respectively. Percentage (P) and intensity (I) of nuclear expression were multiplied to generate numerical score (S = P × I).

Immunohistochemical staining for ER, PR, and HER-2/neu. Immunohistochemical staining was done on serial sections for ER and PR (Clones SP1, NeoMarker and PR636, DAKO, respectively,) and Hercept Test using protocols recommended by the manufacturer (Dako). ER and PR status was assessed from immunohistochemistry stained sections using a 10% cutoff. HER-2/neu expression was scored as 0, 1+, 2+, and 3+ as recommended by the manufacturer (DAKO). In case of discrepant scores from two cores, the higher score of two was taken for the statistical analysis.

Statistical methods. FOXA1 expression was compared with tumor grade, nodal status, and expression of ER, PR, HER2, and the luminal subtype A (ref. 13; defined as ER and/or PR+, and HER2-neg) in Spearman's two-tailed correlation tests. Information regarding each of these variables was not available for all patients, a known limitation of tissue microarray based studies and old cohort studies. Number of patients for whom information was available is given variable-wise in Table 2. Kaplan-Meier analysis was done using log-rank test for comparison of linear trends with cancer-specific survival as primary end point. Cox proportional hazard ratio (HR) model was used for the multivariate survival analysis. We used univariate Cox regression to calculate HRs for the subgroups. All tests were two-sided. We used 5% α level to determine significance. SPSS 14.0 (SPSS, Inc.) statistical package was used to perform the analysis.

Table 2.

Bivariate analysis of FOXA1 (n = 404) with other disease markers

VariableCorrelation coefficientSignificance (two-tailed)No. patients
ER 0.510 0.000001 303 
Luminal type A* 0.415 0.000001 259 
PR 0.235 0.00001 337 
Histology grade −0.176 0.001 347 
Nodal status 0.025 0.643 354 
Her2 0.015 0.787 317 
VariableCorrelation coefficientSignificance (two-tailed)No. patients
ER 0.510 0.000001 303 
Luminal type A* 0.415 0.000001 259 
PR 0.235 0.00001 337 
Histology grade −0.176 0.001 347 
Nodal status 0.025 0.643 354 
Her2 0.015 0.787 317 

NOTE: Complete information on three variables (i.e., ER, PR, and FOXA1) was available for 294 patients.

*

Luminal type A is defined ER and/or PR positive and Her2 negative.

We used X-tile version 3.5.0 (14) to define the optimal cutoff point for the negative and positive scores for FOXA1. On a training set of patients (n = 202) generated by the program, the greatest difference in linear survival trends was achieved comparing scores 0 to 3 versus 4 to 30 (χ2 = 5.1, P = 0.024). This X-tile determined cutoff was confirmed on the validation set (n = 202; χ2 = 7.2, P = 0.007). This algorithm uses a training validation approach to define optimal prognostic cutoffs from continuous or ordinal tumor biomarker scoring data. Using this approach, scores of 0 to 3 were defined as FOXA1low and 4 to 30 as FOXA1high. Our attempts of analysis with different scoring variables such as intensity or percentage of cells with intensity 3 yielded poorer discrimination ability with respect to survival than the cutoff values obtained by X-Tile analysis. Hence, we used cutoffs obtained by X-tile analysis for all subsequent analysis.

FOXA1 expression in normal breast and breast cancer

Representative FOXA1 immunostaining of normal breast and breast cancers is shown in Fig. 1. FOXA1 expression was observed in a few luminal epithelial cells of the normal breast. The expression was restricted to the nucleus with little or no cytoplasmic staining. Invasive cancers showed variable expression; none, weak, moderate, and strong. Staining was nuclear in both normal and cancerous tissues. Thus, it seems that FOXA1 is expressed in a specific subpopulation of normal luminal epithelial cells. High level of FOXA1 expression (FOXA1high; score >3) was seen in 300 of 404 interpretable breast cancers.

Fig. 1.

Immunohistochemical analysis of FOXA1 in breast cancer. Normal breast contains rare FOXA1-positive cells (A), whereas invasive carcinomas show three distinct patterns of expression: no expression (B), weak expression (C and D), and strong expression (E and F). Numerical scores: A = 3, B = 0, C = 6, D and E = 16, and F = 30.

Fig. 1.

Immunohistochemical analysis of FOXA1 in breast cancer. Normal breast contains rare FOXA1-positive cells (A), whereas invasive carcinomas show three distinct patterns of expression: no expression (B), weak expression (C and D), and strong expression (E and F). Numerical scores: A = 3, B = 0, C = 6, D and E = 16, and F = 30.

Close modal

Correlation of FOXA1 expression with other disease markers

We compared FOXA1 expression with ERα, PR, HER2/neu, histologic grade, nodal status, and luminal subtype A (Table 2). FOXA1 expression correlated significantly with ERα (P = 0.000001), PR (P = 0.00001), and luminal subtype A (P = 0.000001). Eighty-four percent (205 of 244) of hormone receptor–positive patients showed high FOXA1 expression compared with only 32% (16 of 50) of hormone receptor negative patients. Similarly, 84% (168 of 200) of luminal subtype A patients showed high FOXA1 expression compared with only 40.67% (24 of 59) of luminal subtype B. Worsening histologic grade also showed loss of FOXA1 expression (P = 0.001). FOXA1 expression did not correlate with nodal status or HER2/neu expression.

Survival analysis

Univariate analysis. Univariate analysis showed (Table 3; Fig. 2) nodal status, tumor size, FOXA1, and ER as significant predictors of cancer-specific survival. HER-2/neu and tumor grade did not significantly affect cancer-specific survival.

Table 3.

Univariate analysis of various variables

VariableComparisonHR (95% CI)Significance
Nodal status N0 vs N+ 2.63 (1.79-4.00) 0.0000012 
Tumor size T1 vs T2 1.95 (1.31-2.91) 0.00001 
 T1 vs T3 3.47 (2.00-6.00)  
FOXA1 FOXA1low vs FOXA1high 0.51 (0.36-0.75) 0.0004 
ER ER− vs ER+ 0.54 (0.34-0.85) 0.012 
Tumor grade Grade 1 vs grade 2 1.51 (0.63-3.62) 0.065 
 Grade 1 vs Grade 3 2.20 (0.95-5.08)  
HER-2/neu HER-2/neu− vs HER-2/neu+ 1.59 (0.97-2.56) 0.077 
VariableComparisonHR (95% CI)Significance
Nodal status N0 vs N+ 2.63 (1.79-4.00) 0.0000012 
Tumor size T1 vs T2 1.95 (1.31-2.91) 0.00001 
 T1 vs T3 3.47 (2.00-6.00)  
FOXA1 FOXA1low vs FOXA1high 0.51 (0.36-0.75) 0.0004 
ER ER− vs ER+ 0.54 (0.34-0.85) 0.012 
Tumor grade Grade 1 vs grade 2 1.51 (0.63-3.62) 0.065 
 Grade 1 vs Grade 3 2.20 (0.95-5.08)  
HER-2/neu HER-2/neu− vs HER-2/neu+ 1.59 (0.97-2.56) 0.077 
Fig. 2.

Kaplan-Meier analysis of cancer-specific survival (all patients).

Fig. 2.

Kaplan-Meier analysis of cancer-specific survival (all patients).

Close modal

Multivariate analysis. Multivariate analysis was done using a Cox regression model, which included nodal status, ER, FOXA1, and tumor size as variables (n = 259, patients with complete information available on all included variables). It showed nodal status [HR, 2.32; 95% confidence interval (95% CI), 1.44-3.74; P = 0.001] and tumor size (HR, 1.95; 95% CI, 1.16-3.28; P = 0.039) to be the significant predictors of cancer-specific survival, whereas FOXA1 [HR, 0.58; 95% CI, 0.33-1.02; P = 0.060 not significant (NS)] and ER (HR, 0.63; 95% CI, 0.34-1.15; P = 0.131 NS) did not significantly affect survival.

Subgroup analysis. We did two post hoc subgroup analyses; luminal subtype A subgroup and ER-positive lymph node–negative subgroup. Luminal subtype A patients expressing high FOXA1 had significantly better survival with relative risk of death due to breast cancer being 0.60 (P = 0.024; Fig. 3). ER-positive lymph node–negative patients expressing high FOXA1 also showed a trend toward better survival with relative risk of death due to breast cancer being 0.63 (P = 0.215 NS). Five and 10-year cancer-specific survival in ER-positive lymph node–negative patients expressing high FOXA1 was 92.6 ± 2.5% and 85.4 ± 3.5%, respectively, compared with 80.0 ± 10.3% and 72.7 ± 11.7% in FOXA1low patients.

Fig. 3.

Kaplan-Meier analysis of cancer-specific survival (luminal subtype A patients).

Fig. 3.

Kaplan-Meier analysis of cancer-specific survival (luminal subtype A patients).

Close modal

Prognostic significance of FOXA1 in combination with ERα and PR

At present, PR has been used as a marker for predicting response to endocrine therapy and event-free survival of patients with ERα-positive breast cancers (15). Endocrine therapy–resistant ERα-positive tumors often show loss of PR expression, which is suggested to indicate switching of cell survival from ERα:estrogen–dependent signaling to ERα:growth factor cross-talk–dependent signaling (15). To determine whether FOXA1 expression has prognostic significance within the context of PR expression, we analyzed effect of loss of PR (ER+/PR+ versus ER+/PR−), loss of FOXA1 (ER+/FOXA1+ versus ER+/FOXA1−), and loss of both PR and FOXA1 (ER+/PR+/FOXA1+ versus ER+/PR−/FOXA1−) on survival. Loss of PR expression did not affect survival with relative risk of death due to breast cancer being 1.36 (95% CI, 0.79-2.34; P = 0.273), whereas loss of FOXA1 expression independently affected survival with relative risk of death due to breast cancer being 2.16 (95% CI, 1.21-3.85; P = 0.009; Fig. 4). Loss of FOXA1 expression is a better predictor of therapy resistance compared with loss of PR expression. Relative risk due to combined loss of PR and FOXA1 (HR, 2.29) was similar to that of loss of FOXA1 alone (HR, 2.16).

Fig. 4.

Kaplan-Meier analysis of cancer-specific survival (ER+ patients).

Fig. 4.

Kaplan-Meier analysis of cancer-specific survival (ER+ patients).

Close modal

We conducted this study with few specific goals. One of the goals was to improve our understanding of ER/FOXA1 relationship in breast cancer patients. The other goal was to see if FOXA1 expression can be studied by a clinically reproducible method (immunohistochemistry) and whether such expression analysis can provide a clinically useful prognostic factor especially in low-risk breast cancer patients. We found FOXA1 to be a positive prognostic factor in breast cancer (HR, 0.51; univariate analysis), particularly among ERα-positive cases (HR, 0.46). FOXA1 is associated with luminal subtype A breast cancers (P = 0.000001) and not with luminal subtype B.

FOXA1 is a “winged helix” transcription factor, which has recently been dubbed as a “pioneer factor” responsible for the recruitment of ERα to the genome (7). Depletion of FOXA1 protein in MCF-7 breast cancer cells leads to reduced estrogen-dependent gene expression and proliferation, which is consistent with its role in mediating the effects of estrogen (8, 9). The COOH-terminal region of FOXA1 interacts with histones H3 and H4 and this interaction is responsible for opening compacted chromatin (16). By opening chromatin, FOXA1 may permit efficient interaction of ERα with its response elements and subsequent interaction of ERα-associated histone modifying enzymes with histones. Consistent with this possibility, about half of estrogen-regulated genes contain binding sites for FOXA1 (8). Optimum expression of these estrogen-regulated genes may occur only in cells that coexpress ERα and FOXA1 and only these cells may be addicted to estrogen-dependent survival and proliferation signaling pathways.

PR negativity is often considered as a marker for the gain of hormone-independent growth properties by ERα-positive breast cancers through increased cross-talk between ERα and growth factor signaling pathways (15). We observed that patients who are ER+/FOXA1−/PR− have worse prognoses than patients who are ER+/FOXA1+/PR+. It is possible that ER+/FOXA1−/PR− tumors have acquired hormone-independent growth properties because of the shift in ERα function from traditional ERα:FOXA1:estrogen regulated pathway to a ERα:growth factor–activated signaling pathways. Thus, simultaneous analysis of ERα, FOXA1, and PR may provide the earliest indication for hormone independence and/or ERα:growth factor signaling pathway cross-talk in ERα-positive breast cancers.

We also did an exploratory subgroup analysis in ER-positive lymph node–negative patients. We aimed at testing possible utility of FOXA1 as a classifier in this so-called low-risk patient group, which is toughest to deal with when it comes to taking adjuvant treatment decisions, especially decisions like whether to give chemotherapy. A prognostic marker that can further identify patients with very low risk of recurrence will be very useful to avoid toxic therapies in patients who are not likely to derive any additional benefits. Although FOXA1 expression was not a statistically significant predictor of survival in this subgroup, a 10-year cancer-specific survival of 85.4 ± 3.5% in FOXA1high patients (in this cohort with >50% T2 or larger tumors from early systemic therapy days) seems promising. It is certainly worth further exploration in larger studies to see if FOXA1 can be used as a prognostic marker in small ER-positive lymph node–negative tumors to avoid toxic therapies in patients with high FOXA1 expression.

We did not have complete clinical treatment details available for all patients in this old cohort (1974-1995). However, because this is a patient cohort spreading over many years, during which breast cancer treatment changed significantly, treatment information in any case cannot be analyzed meaningfully. Because this is a tissue microarray–based study, information regarding all variables is not available for all 404 patients with interpretable FOXA1 staining. This resulted in individual analyses having lower number of patients than 404, decreasing statistical power of the study.

Expression patterns of FOXA1 in normal breast and tumors are strikingly similar to that of ERα. In normal breast, ERα expression is observed only in 10% to 15% of luminal epithelial cells (3), which is similar to the FOXA1 expression that we observed in the normal breast (Fig. 1). Most of the ERα-positive normal cells are nondividing and do not express Ki67, a proliferation marker (3). To determine whether FOXA1 is coexpressed with ERα or is excluded from Ki67-positive cells, we attempted dual immunohistochemistry, which was not successful. The intensity of FOXA1 staining in luminal epithelial cells of normal breast and tumors that are highly positive for FOXA1 is similar; an identical finding has also been observed for ER and GATA3 (17). Hence, FOXA1 expression in breast tumors seems not due to cancer-specific overexpression but rather reflects initiation of cancers from luminal cells that express FOXA1.

The functional role of FOXA1 in normal breast is yet to be determined. FOXA1−/− mice are viable for 2 weeks and these animals have been analyzed extensively for prostate development (18). FOXA1−/− animals show a severely altered ductal pattern lacking differentiated or mature luminal epithelial cells. It has been suggested that FOXA1 in concert with the androgen receptor is involved in differentiation of prostate epithelium by regulating the expression of genes such as Nkx3.1, Shh, and FOXA2 (18). By analogy, FOXA1 in concert with ERα may be involved in mammary ductal morphogenesis and differentiation. ERα-expressing cells have previously been shown to control proliferation and gene expression pattern in stromal and ERα-negative luminal cells through paracrine mechanisms (1921). This function of ERα may be dependent on FOXA1. Interestingly, FOXA1 expression is regulated by estrogen (9). Thus, proliferation and differentiation of normal breast epithelium may be under the control of the FOXA1:ERα axis. Because of their mutual dependency for normal function, signaling events that alter the expression levels or function of either of them may be sufficient for initiating transformation of FOXA1+/ERα+ cells or acquisition of estrogen-independent growth properties.

Emerging data based on molecular signatures clearly shows the existence of subclasses within ER-positive tumors, which have different clinical courses and different likelihoods of response to therapy (5, 22, 23). The differences between these classes involve multiple pathways and are not limited to differences in proliferation rates. This feature, thus far, has been difficult to duplicate using simple protein/immunohistochemistry markers. In this light, it is of interest to note that FOXA1 is an ER-regulated transcription factor that additionally controls downstream transcription of estrogen:ER–regulated genes as well as exerts direct control on cell proliferation possibly via regulation of p27Kip1 (8, 9, 24).

FOXA1 is a prognostic factor in ER-positive breast cancers and is associated with luminal subtype A. Loss of FOXA1 expression may mean shifting of ERα function from traditional ERα:FOXA1:estrogen–regulated pathway to a ERα:growth factor activated signaling pathway resulting in resistance to hormonal therapy. It will be worthwhile to study FOXA1 in a more recent and larger cohort with smaller tumors to validate the utility of FOXA1 expression analysis in identifying and stratifying ER positive patients and to define its exact clinical utility as a prognostic marker.

Grant support: NIH grants RO1 CA89153 (H. Nakshatri), RO1 CA101227-01 (C.M. Perou), and National Cancer Institute/Eastern Cooperative Oncology Group grant CA37403 (S. Badve). The Genetic Pathology Evaluation Centre is supported by an unrestricted educational grant from Sanofi-Aventis. T.O. Nielsen and D.G. Huntsman are scholars of the Michael Smith Foundation for Health Research.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Note: Supplementary data for this article are available at Clinical Cancer Research Online (http://clincancerres.aacrjournals.org/).

We thank P. Bhat-Nakshatri for technical assistance.

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