Abstract
Background
Accurate assessment of estrogen (ER) and progesterone (PR) receptors is critical in predicting the response to endocrine therapies in breast cancer.
Material and methods
From a series of 360 patients with breast invasive carcinoma assessed for hormone receptors by immunohistochemistry (IHC) in the 90’s, we re-analysed, on the same tumour material, the cases considered negative (n = 164), i.e., ER-/PR- (n = 95), ER+/PR- (n = 63) and ER-/PR+ (n=6), and 16 of 196 ER+/PR+ tumours with unfavourable outcome. Concordance between the previous IHC (Streptavidin-Biotin-Peroxidase) method and the current one (Peroxidase-Indirect-Polymer) was determined by the McNemar’s test. Relapse-free (RFS) and overall survival (OS) were estimated by the Kaplan-Meier method.
Results
From 101 ER- and 158 PR- cases, 38 (37.6%) and 58 (36.7%) became positive, increasing ER and PR expression from 71.9% and 56.1% to 82.5% and 72.2%, respectively (P<0.001). All 16 ER+/PR+ cases maintained their co-positivity, while all ER-/PR+ tumours changed to ER positive. Kaplan-Meier survival curves showed significant differences related to RFS and OS for PR, either in the whole series or in the subset (n = 151) submitted to hormonal treatment. The patients’ subgroup with ER+/PR- tumours exhibited the worst prognosis.
Conclusion
The current IHC method improves the clinical usefulness of ER/PR assessment by decreasing the rate of false negative results.
Keywords: Breast cancer, Estrogen receptors, Progesterone receptors, Immunohistochemistry, Prognosis
Introduction
The assessment of estrogen (ER) and progesterone (PR) receptors is predictive of the response to endocrine therapeutic strategies in breast cancer (Hammond et al. 2010; Allred et al. 2009; Goldhirsch et al. 2009). Along with this fundamental ability, the biomarkers analysis has shown, mainly for PR, prognostic significance as well (Pinto et al. 2003; Pinto et al. 2013). Therefore, an accurate determination of hormone receptor expression is critical in the management of breast cancer patients, both in the adjuvant and metastatic settings (Diaz & Sneige 2005; Elledge et al. 2000).
Currently, the most widely used technique for assessment of ER and PR status is immunohistochemistry (IHC) on formalin-fixed paraffin-embedded material (Allred et al. 2009). Its main advantages over other techniques (e.g., ligand binding assays or RT-PCR) stem from the easy, safe and relatively inexpensive application in routine practice, together with the possibility of morphological evaluation of small specimens and discrimination between benign and malignant cells (Hammond et al. 2010; Harvey et al. 1999).
A wide range of variability factors can affect, however, IHC methodology (Hammond et al. 2010; Bartlett et al. 2011), from pre-analytical variables, such as type of fixative and time of fixation, until scoring methods (and thresholds for positivity) for interpretation of tumour nuclear immunostaining slides. Other potential sources of analytical discordance include the choice of antibodies, antigen retrieval techniques, detection systems and quality control. Recently, increased attention has been paid on two controversial issues with clinical relevance: the high rate of false negative results (Hammond et al. 2010; Hede 2008; Allred 2008; Viale et al. 2007; Fisher et al. 2005), and the establishment of different cut-off points for distinguishing positive from negative biomarkers expression (Fisher et al. 2005; Regan et al. 2006; Cheang et al. 2006; Dowsett et al. 2008). It is obvious that both problems have direct impact on the important decision making of selecting patients for adjuvant hormonal therapies in breast cancer.
In order to compare the hormone receptor expression assessed by two IHC methods distant in time and investigate the prognostic implications of using various cut-off values to define ER and PR positivity, we decided to make the reappraisal of ER and PR status, using current IHC methodology, on the same previously analysed tumour samples of patients with breast cancer diagnosed in the 90’s in our Institution.
Material and methods
Clinico-pathological data
The series investigated encompassed 360 female patients with primary breast invasive ductal carcinoma, diagnosed and treated at Portuguese Oncology Institute (IPO) Lisbon Center, between August 1990 and November 1999. The inclusion criteria were the availability of ER and PR reporting data and complete follow-up information for patients. The study was carried out following guidelines approved by Comissão de Ética do IPOLFG the local institution ethical board. Patients had not been treated prior to surgery and none had metastatic disease at diagnosis. Their mean (and median) age was 59 years, ranging from 23 to 88 years. Most of them (n=253) were submitted to modified radical mastectomy and the remaining (n = 107) to breast conserving surgery. Adjuvant chemotherapy was given to 144 (40%) patients, while 151 (41.9%) received hormonal treatment. The histological type and pathological staging of breast carcinomas were evaluated according to WHO classification (Lakhani et al. 2012). Tumour differentiation was assessed using the Elston and Ellis grading system (Elston & Ellis 1991). Ploidy status was analysed by DNA flow cytometry. Table 1 shows, in detail, the clinico-pathological and ploidy characteristics of the series investigated.
Table 1.
Clinico-pathological features and DNA ploidy status of the series investigated (n=360)
| Variables | N (%) |
|---|---|
| Grade of differentiation | |
| G1 | 89 (24.7) |
| G2+G3 | 271 (75.3) |
| Tumour size | |
| pT1 | 157 (43.6) |
| pT2+pT3 | 203 (56.4) |
| Nodal status | |
| pN0 | 203 (56.4) |
| pN1 | 157 (43.6) |
| DNA ploidy | |
| Diploid | 145 (40.3) |
| Aneuploid | 215 (59.7) |
N Number of patients.
Follow-up information was obtained by review of the patients clinical records. Outcome measures investigated were the relapse-free survival (RFS), that is, the time elapsed between diagnosis and the date of first local or distant recurrence, and the overall survival (OS), which is defined as the interval between diagnosis and death from the disease. Patients not experiencing the relevant end point were censored at last clinical observation.
Hormone receptor expression
Table 2 summarizes the technical steps followed in the two IHC methods for assessing ER and PR expression. The IHC method used in the 90’s was performed on tumour paraffin-embedded material according to the streptavidin-biotin complex peroxidase technique (Hsu et al. 1981). The results were recorded as the percentage of positively stained target cells, positivity being defined as samples with more than 10% stained neoplastic cell nuclei. The intensity of staining was not evaluated.
Table 2.
Technical protocols used by the two IHC methods
| Technical steps | IHC methods | |
|---|---|---|
| Streptavidin-Biotin-Peroxidase | Peroxidase-Indirect-Polymer | |
| (90’s) | (currently) | |
| Endogenous peroxidase blocking | 2% H2O2 | 3% H2O2 |
| Antigenic retrieval | Citrate buffer pH 6.0 in pressure cooker, 6´ in highest pressure | CC1 buffer pH 9.0, 52´ |
| Primary monoclonal antibodies | NCL-ER-6F11 / NCL-PGR (Novocastra), diluted 1:10, 30´, room temperature | ER Ventana 790–4324 (SP1), pre-diluted, 60´, 37°C |
| PGR Ventana 760–4296 (1E2), pre-diluted, 28´, 37°C | ||
| Secondary antibody | Biotinylated rabbit anti-mouse (E413, Dako), diluted 1:250, 30´ | Ultraview universal DAB (760–500, Ventana), 8´, 37°C |
| Detection systems | StreptABC Complex (K0377, Dako), diluted 1:100, 30´, room temperature | |
| Controls | Negative: Primary antibody omission | Breast carcinoma tissue microarray (TMA) including “negative tumour, with normal glandular epithelium, positive tumour with moderate expression (30-70%), and positive tumour with high expression (≈ 100%)” |
| Positive: Breast carcinoma positive case |
All cases considered negative for both ER (n=101) and PR (n=158), as well as 16 ER+/PR+ cases that showed unfavourable outcome, by this IHC technique, were re-evaluated, whenever possible on the same paraffin blocks, using the IHC technique (peroxidase-indirect-polymer technique performed on a Ventana Benchmark ULTRA instrument; Ventana Medical Systems, Inc., Tucson, USA) currently employed in our laboratory. The results were recorded semiquantitatively as the percentage of positively stained neoplastic cell nuclei using ≥ 1% cut-off value as criterion for positivity (Hammond et al. 2010). For prognostic purposes, a complementary data analysis was further performed, using a >10% cut-off point. The intensity of staining was not evaluated.
Statistical analysis
The comparative analysis of matched-paired cases for hormone receptor expression between the two IHC methods was assessed by the McNemar’s test with continuity correction. The associations of ER and PR status with clinico-pathological characteristics and outcome events (disease recurrence and death from the disease) were evaluated by Pearson’s Chi-Squared test. The probability of survival was estimated by means of the Kaplan-Meier method, and survival curves compared using the log rank test. P values < 5% were considered statistically significant.
Results
By using the IHC method of the 90’s, 259 (71.9%) and 202 (56.1%) of 360 cases were considered positive for ER and PR, respectively. Specifically, the hormone receptor expression was as follows: ER+/PR+ (n = 196), ER-/PR- (n=95), ER+/PR- (n = 63), and ER-/PR+ (n = 6).
All cases negative for ER (n = 101) and PR (n = 158), as well as 16 ER+/PR+ cases that showed unfavourable clinical outcome, were re-evaluated using the current IHC method. The specific changes in the hormone receptor status, as compared to the previous IHC technique, were as follows: 20 (21.1%) and 12 (12.6%) of 95 ER-/PR- cases were classified as ER+/PR+ (Figure 1) and ER+/PR-, respectively; also, 38 (60.3%) of 63 previous ER+/PR- cases became PR positive. Of noting, all 6 ER-/PR+ cases changed to ER positive. All 16 ER+/PR+ cases, used as control for positive expression, maintained their co-positivity, and therefore, the observation was extended to the remaining ER and PR positive cases. Overall, using the currently recommended ≥1% cut-off (Hammond et al. 2010), 297 (82.5%) cases were considered ER positive, while PR positivity was found in 260 (72.2%). Specifically, the hormone receptor status assessed by the current IHC method was as follows: ER+/PR+ (n = 260), ER-/PR- (n = 63), and ER+/PR- (n=37).
Figure 1.

Immunohistochemical analysis (x10) of hormonal receptors in a breast cancer case A) Previously considered double-negative and B) Its change to ER/PR double-positivity by the current IHC method.
The comparison between the two IHC techniques showed significant differences in hormone receptor expression (P<0.001; McNemar’s test), even when a >10% cut-off was applied for the current IHC method (P<0.001). Using this IHC method, 38 of 101 (37.6%) and 58 of 158 (36.7%) previously considered ER- and PR- cases, respectively, changed to positive. Of these, 4 of the new 38 ER+ (10.5%) and 21 of 58 PR+ (36.2%) cases presented a low positivity staining, i.e., between the two cut-off values used, 1% and 10%.
Table 3 summarizes the associations of hormone receptor expression with clinico-pathological characteristics, DNA ploidy and outcome measures using both IHC methods and different cut-off values for defining positivity. In general, there were no differences between them in relation to the former parameters, with the lack of ER and PR being associated with DNA aneuploidy and tumours with greater size and higher grade of differentiation. No significant association was observed in relation to axillary lymph node involvement as well.
Table 3.
Associations of hormone receptor expression with clinico-pathological features, DNA ploidy and outcome measures using two IHC methods and different cut-off values for positivity
| Variables | ER expression | PR expression | ||||
|---|---|---|---|---|---|---|
| (P values) | (P values) | |||||
| Previous method | Current method | Current method | Previous method | Current method | Current method | |
| (>10%) | (≥1%) | (>10%) | (>10%) | (≥1%) | (>10%) | |
| Grade of differentiation | ||||||
| G1 vs. G2+G3 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 |
| Tumour size | ||||||
| pT1 vs. pT2+pT3 | 0.017 | <0.001 | <0.001 | 0.003 | <0.001 | <0.001 |
| Nodal status | ||||||
| pN0 vs. pN1 | NS | NS | NS | NS | NS | NS |
| DNA ploidy | ||||||
| Diploid vs. Aneuploid | 0.001 | <0.001 | <0.001 | 0.021 | <0.001 | 0.002 |
| Disease recurrence | ||||||
| No vs. Yes | NS | NS | NS | 0.032 | NS | 0.008 |
| Death from the disease | ||||||
| No vs. Yes | NS | NS | NS | 0.010 | NS | <0.001 |
ER Estrogen receptors, PR Progesterone receptors.
During follow-up time (median, 124.5 months; range, 1–240), 124 patients (34.4%) experienced disease recurrence, while 92 patients (25.6%) died from the disease. Significant associations between negative PR expression and the outcome events were observed either with the IHC method of the 90’s (although weak) or with the current one, but only when a > 10% cut-off value was used (Table 3).
The Kaplan-Meier survival estimates analyses showed significant differences between overall survival curves for PR expression, using the IHC method of the 90’s (P = 0.017) and the current IHC method (with a >10% cut-off) (P<0.001), the latter also showing significance in relation to disease recurrence (P = 0.010) (Figure 2). Using this method (with a >10% cut-off), we found that the subgroup of patients with ER+/PR- tumours presented the worst prognosis for RFS (P = 0.013) and OS (P=0.002) (Figure 3). Comparing the K-M curves for OS, the adverse clinical outcome in this subset of patients is more pronounced after five years of follow-up.
Figure 2.

Probability of patients' survival in the whole series (n=360) according to PR expression using the current method with >10% cut-off A) RFS (P=0.010) and B) OS (P<0.001).
Figure 3.

Probability of survival in the whole series (n=360) according to ER/PR subsets of patients using the current method with >10% cut-off A) RFS (P=0.013) and B) OS (P=0.002).
When a complementary subset analysis was performed, including only the breast cancer patients (n=151) submitted to hormonal therapy, significant differences between both the RFS and OS curves for PR were found by the current IHC method, either using a ≥1% cut-off (P=0.015 and P=0.020, respectively) or a >10% cut-off (P<0.001 and P<0.001, respectively) (Figure 4).
Figure 4.

Probability of survival in the subgroup of patients submitted to hormonal therapy (n=151) according to PR expression using the current method with >10% cut-off A) RFS (P<0.001) and B) OS (P<0.001).
No statistically significant differences were observed for any ER K-M survival curves.
Discussion
Lack of intra- and inter-laboratory reproducibility of hormone receptor expression can affect the clinical usefulness of the biomarkers as predictors of the response to endocrine therapy in breast cancer (Rhodes et al. 2001; Regitnig et al. 2002). It is, therefore, a clinical priority any attempt made for improving the accuracy of the IHC technique. In this light, our study sought to investigate potential differences of hormone receptor expression between two IHC methods separated in time, by re-evaluating, on the same tumour material, ER and PR analyses performed in the 90’s.
All cases previously considered ER and PR negative, together with 16 of 196 ER+/PR+ cases, were re-analysed by using a current IHC method. The latter 16 cases were selected, throughout the decade, for having exhibited adverse clinical outcome, and served as control for testing ER and PR positive expression. It seemed to us reasonable to think that these cases would not change their hormone receptor expression, due to the higher cut-off value used in the IHC method of the 90’s. The hypothesis was further confirmed, as all 16 cases maintained their ER/PR co-positivity, and inferred for the remaining ER and PR positive tumours.
The matched-paired McNemar’s test revealed significant differences of hormone receptor expression between the two IHC methods. The data showed that a substantial proportion of previous ER (37.6%) and PR (36.7%) negative cases changed to positive. In consequence, ER and PR positivity increased from 71.9% and 56.1% to 82.5% and 72.2%, respectively. These changes do not appear to be caused only by the distinct cut-off values used for both methods, since when an identical cut-off point (>10%) for the current IHC method was applied, significant differences remained. Instead, the fact could be better explained by the IHC technical evolution over time, through automated procedures that allow a superior level of standardization as compared with previous manual staining methods. Different primary antibodies and improved detection systems could be the main causes involved.
In our study, as reported by others (Collins et al. 2005; Khoshnoud et al. 2011), the vast majority of breast carcinomas showed essentially a bimodal distribution of ER staining, varying between diffusely positive or completely negative ER expression. Indeed, we observed that only 4 of the new 38 ER+ cases had low positive nuclear staining, i.e., ranging between 1% and 10%. Interestingly, these cases were associated with lack of PR expression and poor prognosis (one recurrence and two deaths from the disease; data not shown). The rarity of the finding, which some authors attributed to inadequate fixation or focal tumour necrosis (Nadji et al. 2005), suggests that ER quantification may be, in practice, unnecessary or superfluous. Welsh et al. (2011) showed that changing the percentage of positive cells from 10% to 1% cut-off, as recommended by the new American Society of Clinical Oncology/College of American Pathologists (ASCO/CAP) guidelines (Hammond et al. 2010), did not affect significantly the overall number of ER-positive patients. However, our data point out that a special attention must be focused on these individual cases that, although unusual, tend to have an unfavourable clinical evolution and might benefit from adjuvant chemotherapy. In addition, it should be noted that all six previously labelled ER-/PR+ breast carcinomas changed to ER positive, which strongly suggests that this putative subset may represent a mere technical artifact (Rakha et al. 2010). Accordingly, Nadji et al. (Nadji et al. 2005), in their large immunohistochemical study of 5,993 breast cancers, found no ER-/PR+ tumours.
On the other hand, the assessment of PR immunostaining revealed prognostic significance, especially when using a >10% cut-off value. This suggests that, with regard to clinical outcome, cases with a low positive PR level (between 1% and 10%) do not differ significantly from those considered as PR negative. Together with the few ER low positive tumours, the finding raises the clinical question of whether patients with low positive hormone receptor expression would actually benefit from endocrine treatment. Our data seem to indicate that the pros (therapeutic benefit) and cons (potential side effects) of giving hormonal therapies for patients with minimal ER and PR positive expression should be cautiously evaluated. In a recent study, aiming to investigate the impact of low ER and PR expression (<10%) as well as the effect of endocrine therapy on survival outcomes of 1,257 previously classified triple negative breast cancer patients, Raghav et al. (Raghav et al. 2012) observed that for both ER/PR 1%-5% and 6%-10% level subgroups, no prognostic utility and only a tendency for survival advantages were found, respectively. These controversial findings reveal that the application of endocrine therapy in these patients needs further investigation (Brouckaert et al. 2013).
As expected, our data showed the significant association of negative hormone receptor expression with DNA aneuploidy and adverse clinico-pathological features, such as greater size and higher grade of differentiation tumours. In keeping to others (Jalava et al. 2005), no correlation was found between ER or PR and axillary lymph node status, suggesting that the biomarkers are not predictors of metastatic potential. However, only the lack of PR expression was associated with disease recurrence and mortality, using both the IHC method of the 90’s and the current one with a >10% cut-off value.
The Kaplan-Meier survival curves estimates did not show the prognostic significance of ER expression by any IHC method. On the contrary, it was proved the significant prognostic impact of PR analysis either for relapse-free or disease-specific survival of patients with breast invasive ductal carcinoma. The same applies when a complementary subset analysis was performed in the subgroup of patients submitted to hormonal therapy. Interestingly, the prognostic significance of PR expression was strongly evident (lowest P value) when using a >10% cut-off point for the current IHC method, highlighting the importance of selecting this cut-off in the assessment of tumours positivity for better discriminating patients into two groups with distinct survival. Ogawa Y et al. (Ogawa et al. 2004), in their immunohistochemical study of 249 female breast cancers, reached the highest prognostic impact when they adopted an identical cut-off point (>10%) for hormone receptors in patients treated with endocrine therapy.
It was very striking, using the current IHC method with a >10% cut-off value, the worst prognosis found in the subgroup of patients who presented ER+/PR- tumours. As reported by others (Viale et al. 2007; Thakkar & Mehta 2011; Arpino et al. 2005), the latter seem to be a distinct subset of breast carcinomas characterized by great genomic instability, high proliferation rate, and aggressive behaviour, being associated by gene signature with the luminal B subtype (Perou et al. 2000). ER+/PR- tumours would represent, at a molecular level, a different subtype, as compared with ER+/PR+ and ER-/PR- breast carcinomas (Creighton et al. 2009). Although the biological role of PR is not yet fully elucidated, the PR downregulation might be an indicator of a nonfunctional nuclear ER pathway or the (gene silencing) result of the PR promoter methylation (Cui et al. 2005). In the clinical setting, the lack of PR in ER+ tumours could be predictive of poor response to endocrine therapies (Bardou et al. 2003; Rakha et al. 2007).
In conclusion, the present data indicate that the usefulness of automated methods, as well as more specific and sensitive detection systems, has significantly contributed to improve IHC techniques for determination of hormonal receptors in breast cancer. In particular, the comparison of ER and PR analyses performed in the 90’s and nowadays, emphasizes the clinical relevance of the reappraisal of negative hormone receptor expression in the former, owing to the decrease of false negative results. Furthermore, it was confirmed the prognostic significance of PR status, mainly when using a >10% cut-off value, either in the whole series or in the subgroup of patients who received hormonal therapy. Finally, it should be highlighted the fact that patients who presented ER+/PR- tumours exhibited the worst prognosis, which could have therapeutic implications in the management of breast cancer disease.
Ethical standards
The experiments comply with the current laws of the country (Portugal) in which they were performed.
Footnotes
Competing interest
The authors declare that they have no conflict of interest.
Authors’ contributions
AEP had the idea, made ploidy and follow-up studies and drafted the manuscript, FA made current immunocytochemistry analyses, TP, PC and SA made immunocytochemistry analyses in the 90's and currently, MA and GLS made the statistical analyses, MCF made follow-up studies, and SA made the review of the manuscript. All authors read and approved the final manuscript.
Contributor Information
António E Pinto, Email: aepinto@ipolisboa.min-saude.pt.
Filipa Areia, Email: filipa.areia@gmail.com.
Teresa Pereira, Email: tpereira@ipolisboa.min-saude.pt.
Paula Cardoso, Email: apcardoso@ipolisboa.min-saude.pt.
Mariana Aparício, Email: marianamefaparicio@gmail.com.
Giovani L Silva, Email: gsilva@math.ist.utl.pt.
Mónica C Ferreira, Email: moferreira@ipolisboa.min-saude.pt.
Saudade André, Email: sandre@ipolisboa.min-saude.pt.
References
- Allred DC. Commentary: hormone receptor testing in breast cancer: a distress signal from Canada. Oncologist. 2008;13:1134–1136. doi: 10.1634/theoncologist.2008-0184. [DOI] [PubMed] [Google Scholar]
- Allred DC, Carlson RW, Berry DA, Burstein HJ, Edge SB, Goldstein LJ, Gown A, Hammond ME, Iglehart JD, Moench S, Pierce LJ, Ravdin P, Schnitt SJ, Wolff AC. NCCN Task Force Report: Estrogen Receptor and Progesterone Receptor Testing in Breast Cancer by Immunohistochemistry. J Natl Compr Canc Netw. 2009;7(Suppl 6):S1–S21. doi: 10.6004/jnccn.2009.0079. [DOI] [PubMed] [Google Scholar]
- Arpino G, Weiss H, Lee AV, Schiff R, De Placido S, Osborne CK, Elledge RM. Estrogen receptor-positive, progesterone receptor-negative breast cancer: association with growth factor receptor expression and tamoxifen resistance. J Natl Cancer Inst. 2005;97:1254–1261. doi: 10.1093/jnci/dji249. [DOI] [PubMed] [Google Scholar]
- Bardou VJ, Arpino G, Elledge RM, Osborne CK, Clark GM. Progesterone receptor status significantly improves outcome prediction over estrogen receptor status alone for adjuvant endocrine therapy in two large breast cancer databases. J Clin Oncol. 2003;21:1973–1979. doi: 10.1200/JCO.2003.09.099. [DOI] [PubMed] [Google Scholar]
- Bartlett JM, Rea D, Rimm DL. Quantification of hormone receptors to guide adjuvant therapy choice in early breast cancer: better methods required for improved utility. J Clin Oncol. 2011;29:3715–3716. doi: 10.1200/JCO.2011.37.3704. [DOI] [PubMed] [Google Scholar]
- Brouckaert O, Paridaens R, Floris G, Rakha E, Osborne K, Neven P. A critical review why assessment of steroid hormone receptors in breast cancer should be quantitative. Ann Oncol. 2013;24:47–53. doi: 10.1093/annonc/mds238. [DOI] [PubMed] [Google Scholar]
- Cheang MC, Treaba DO, Speers CH, Olivotto IA, Bajdik CD, Chia SK, Goldstein LC, Gelmon KA, Huntsman D, Gilks CB, Nielsen TO, Gown AM. Immunohistochemical detection using the new rabbit monoclonal antibody SP1 of estrogen receptor in breast cancer is superior to mouse monoclonal antibody 1D5 in predicting survival. J Clin Oncol. 2006;24:5637–5644. doi: 10.1200/JCO.2005.05.4155. [DOI] [PubMed] [Google Scholar]
- Collins LC, Botero ML, Schnitt SJ. Bimodal frequency distribution of estrogen receptor immunohistochemical staining results in breast cancer: an analysis of 825 cases. Am J Clin Pathol. 2005;123:16–20. doi: 10.1309/HCF035N9WK40ETJ0. [DOI] [PubMed] [Google Scholar]
- Creighton CJ, Kent Osborne C, van de Vijver MJ, Foekens JA, Klijn JG, Horlings HM, Nuyten D, Wang Y, Zhang Y, Chamness GC, Hilsenbeck SG, Lee AV, Schiff R. Molecular profiles of progesterone receptor loss in human breast tumors. Breast Cancer Res Treat. 2009;114:287–299. doi: 10.1007/s10549-008-0017-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cui X, Schiff R, Arpino G, Osborne CK, Lee AV. Biology of progesterone receptor loss in breast cancer and its implications for endocrine therapy. J Clin Oncol. 2005;23:7721–7735. doi: 10.1200/JCO.2005.09.004. [DOI] [PubMed] [Google Scholar]
- Diaz LK, Sneige N. Estrogen receptor analysis for breast cancer: current issues and keys to increasing testing accuracy. Adv Anat Pathol. 2005;12:10–19. doi: 10.1097/00125480-200501000-00003. [DOI] [PubMed] [Google Scholar]
- Dowsett M, Allred C, Knox J, Quinn E, Salter J, Wale C, Cuzick J, Houghton J, Williams N, Mallon E, Bishop H, Ellis I, Larsimont D, Sasano H, Carder P, Cussac AL, Knox F, Speirs V, Forbes J, Buzdar A. Relationship between quantitative estrogen and progesterone receptor expression and human epidermal growth factor receptor 2 (HER-2) status with recurrence in the Arimidex, Tamoxifen, Alone or in Combination trial. J Clin Oncol. 2008;26:1059–1065. doi: 10.1200/JCO.2007.12.9437. [DOI] [PubMed] [Google Scholar]
- Elledge RM, Green S, Pugh R, Allred DC, Clark GM, Hill J, Ravdin P, Martino S, Osborne CK. Estrogen receptor (ER) and progesterone receptor (PgR), by ligand-binding assay compared with ER, PgR and pS2, by immuno-histochemistry in predicting response to tamoxifen in metastatic breast cancer: a Southwest Oncology Group Study. Int J Cancer. 2000;89:111–117. doi: 10.1002/(SICI)1097-0215(20000320)89:2<111::AID-IJC2>3.0.CO;2-W. [DOI] [PubMed] [Google Scholar]
- Elston CW, Ellis IO. Pathological prognostic factors in breast cancer I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology. 1991;19:403–410. doi: 10.1111/j.1365-2559.1991.tb00229.x. [DOI] [PubMed] [Google Scholar]
- Fisher ER, Anderson S, Dean S, Dabbs D, Fisher B, Siderits R, Pritchard J, Pereira T, Geyer C, Wolmark N. Solving the dilemma of the immunohistochemical and other methods used for scoring estrogen receptor and progesterone receptor in patients with invasive breast carcinoma. Cancer. 2005;103:164–173. doi: 10.1002/cncr.20761. [DOI] [PubMed] [Google Scholar]
- Goldhirsch A, Ingle JN, Gelber RD, Coates AS, Thürlimann B, Senn HJ. Thresholds for therapies: highlights of the St Gallen International Expert Consensus on the primary therapy of early breast cancer 2009. Ann Oncol. 2009;20:1319–1329. doi: 10.1093/annonc/mdp322. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hammond ME, Hayes DF, Dowsett M, Allred DC, Hagerty KL, Badve S, Fitzgibbons PL, Francis G, Goldstein NS, Hayes M, Hicks DG, Lester S, Love R, Mangu PB, McShane L, Miller K, Osborne CK, Paik S, Perlmutter J, Rhodes A, Sasano H, Schwartz JN, Sweep FC, Taube S, Torlakovic EE, Valenstein P, Viale G, Visscher D, Wheeler T, Williams RB, Wittliff JL, Wolff AC. American Society of Clinical Oncology/College of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer (unabridged version) Arch Pathol Lab Med. 2010;134:e48–e72. doi: 10.5858/134.7.e48. [DOI] [PubMed] [Google Scholar]
- Harvey JM, Clark GM, Osborne CK, Allred DC. Estrogen receptor status by immunohistochemistry is superior to the ligand-binding assay for predicting response to adjuvant endocrine therapy in breast cancer. J Clin Oncol. 1999;17:1474–1481. doi: 10.1200/JCO.1999.17.5.1474. [DOI] [PubMed] [Google Scholar]
- Hede K. Breast cancer testing scandal shines spotlight on black box of clinical laboratory testing. J Natl Cancer Inst. 2008;100:836–837. doi: 10.1093/jnci/djn200. [DOI] [PubMed] [Google Scholar]
- Hsu SM, Raine L, Fanger H. The use of antiavidin antibody and avidin-biotin-peroxidase complex in immunoperoxidase technics. Am J Clin Pathol. 1981;75:816–821. doi: 10.1093/ajcp/75.6.816. [DOI] [PubMed] [Google Scholar]
- Jalava P, Kuopio T, Huovinen R, Laine J, Collan Y. Immunohistochemical staining of estrogen and progesterone receptors: aspects for evaluating positivity and defining the cutpoints. Anticancer Res. 2005;25:2535–2542. [PubMed] [Google Scholar]
- Khoshnoud MR, Löfdahl B, Fohlin H, Fornander T, Stål O, Skoog L, Bergh J, Nordenskjöld B. Immunohistochemistry compared to cytosol assays for determination of estrogen receptor and prediction of the long-term effect of adjuvant tamoxifen. Breast Cancer Res Treat. 2011;126:421–430. doi: 10.1007/s10549-010-1202-7. [DOI] [PubMed] [Google Scholar]
- Lakhani SR, Ellis IO, Schnitt SJ, Tan PH, van de Vijver MJ, editors. WHO Classification of Tumours of the Breast. Lyon: Fourth Edition. IARC Press; 2012. [Google Scholar]
- Nadji M, Gomez-Fernandez C, Ganjei-Azar P, Morales AR. Immunohistochemistry of estrogen and progesterone receptors reconsidered: experience with 5,993 breast cancers. Am J Clin Pathol. 2005;123:21–27. doi: 10.1309/4WV79N2GHJ3X1841. [DOI] [PubMed] [Google Scholar]
- Ogawa Y, Moriya T, Kato Y, Oguma M, Ikeda K, Takashima T, Nakata B, Ishikawa T, Hirakawa K. Immunohistochemical assessment for estrogen receptor and progesterone receptor status in breast cancer: analysis for a cut-off point as the predictor for endocrine therapy. Breast Cancer. 2004;11:267–275. doi: 10.1007/BF02984548. [DOI] [PubMed] [Google Scholar]
- Perou CM, Sørlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, Pollack JR, Ross DT, Johnsen H, Akslen LA, Fluge O, Pergamenschikov A, Williams C, Zhu SX, Lønning PE, Børresen-Dale AL, Brown PO, Botstein D. Molecular portraits of human breast tumours. Nature. 2000;406:747–752. doi: 10.1038/35021093. [DOI] [PubMed] [Google Scholar]
- Pinto AE, André S, Mendonça E, Silva G, Soares J. Overall survival in advanced breast cancer: relevance of progesterone receptor expression and DNA ploidy in fine-needle aspirates of 392 patients. Int J Biol Markers. 2003;18:7–12. doi: 10.1177/172460080301800102. [DOI] [PubMed] [Google Scholar]
- Pinto AE, Pereira T, Santos M, Branco M, Dias A, Silva GL, Ferreira MC, André S. DNA ploidy is an independent predictor of survival in breast invasive ductal carcinoma: a long-term multivariate analysis of 393 patients. Ann Surg Oncol. 2013;20:1530–1537. doi: 10.1245/s10434-012-2804-6. [DOI] [PubMed] [Google Scholar]
- Raghav KP, Hernandez-Aya LF, Lei X, Chavez-Macgregor M, Meric-Bernstam F, Buchholz TA, Sahin A, Do KA, Hortobagyi GN, Gonzalez-Angulo AM. Impact of low estrogen/progesterone receptor expression on survival outcomes in breast cancers previously classified as triple negative breast cancers. Cancer. 2012;118:1498–1506. doi: 10.1002/cncr.26431. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rakha EA, El-Sayed ME, Green AR, Paish EC, Powe DG, Gee J, Nicholson RI, Lee AH, Robertson JF, Ellis IO. Biologic and clinical characteristics of breast cancer with single hormone receptor positive phenotype. J Clin Oncol. 2007;25:4772–4778. doi: 10.1200/JCO.2007.12.2747. [DOI] [PubMed] [Google Scholar]
- Rakha EA, Reis-Filho JS, Ellis IO. Combinatorial biomarker expression in breast cancer. Breast Cancer Res Treat. 2010;120:293–308. doi: 10.1007/s10549-010-0746-x. [DOI] [PubMed] [Google Scholar]
- Regan MM, Viale G, Mastropasqua MG, Maiorano E, Golouh R, Carbone A, Brown B, Suurküla M, Langman G, Mazzucchelli L, Braye S, Grigolato P, Gelber RD, Castiglione-Gertsch M, Price KN, Coates AS, Goldhirsch A, Gusterson B, International Breast Cancer Study Group Re-evaluating adjuvant breast cancer trials: assessing hormone receptor status by immunohistochemical versus extraction assays. J Natl Cancer Inst. 2006;98:1571–1581. doi: 10.1093/jnci/djj415. [DOI] [PubMed] [Google Scholar]
- Regitnig P, Reiner A, Dinges HP, Höfler G, Müller-Holzner E, Lax SF, Obrist P, Rudas M, Quehenberger F. Quality assurance for detection of estrogen and progesterone receptors by immunohistochemistry in Austrian pathology laboratories. Virchows Arch. 2002;441:328–334. doi: 10.1007/s00428-002-0646-5. [DOI] [PubMed] [Google Scholar]
- Rhodes A, Jasani B, Balaton AJ, Barnes DM, Anderson E, Bobrow LG, Miller KD. Study of interlaboratory reliability and reproducibility of estrogen and progesterone receptor assays in Europe. Documentation of poor reliability and identification of insufficient microwave antigen retrieval time as a major contributory element of unreliable assays. Am J Clin Pathol. 2001;115:44–58. doi: 10.1309/H905-HYC1-6UQQ-981P. [DOI] [PubMed] [Google Scholar]
- Thakkar JP, Mehta DG. A review of an unfavorable subset of breast cancer: estrogen receptor positive progesterone receptor negative. Oncologist. 2011;16:276–285. doi: 10.1634/theoncologist.2010-0302. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Viale G, Regan MM, Maiorano E, Mastropasqua MG, Dell'Orto P, Rasmussen BB, Raffoul J, Neven P, Orosz Z, Braye S, Ohlschlegel C, Thürlimann B, Gelber RD, Castiglione-Gertsch M, Price KN, Goldhirsch A, Gusterson BA, Coates AS. Prognostic and predictive value of centrally reviewed expression of estrogen and progesterone receptors in a randomized trial comparing letrozole and tamoxifen adjuvant therapy for postmenopausal early breast cancer: BIG 1–98. J Clin Oncol. 2007;25:3846–3852. doi: 10.1200/JCO.2007.11.9453. [DOI] [PubMed] [Google Scholar]
- Welsh AW, Moeder CB, Kumar S, Gershkovich P, Alarid ET, Harigopal M, Haffty BG, Rimm DL. Standardization of estrogen receptor measurement in breast cancer suggests false-negative results are a function of threshold intensity rather than percentage of positive cells. J Clin Oncol. 2011;29:2978–2984. doi: 10.1200/JCO.2010.32.9706. [DOI] [PMC free article] [PubMed] [Google Scholar]
