Estrogen receptor quantitative measures and breast cancer survival

Abstract

Purpose

While the estrogen receptor (ER) is the single most widely used biomarker to evaluate breast cancer outcomes, aspects of ER marker biology remain poorly understood. We sought to determine whether quantitative measures of ER, such as protein expression and intensity, were associated with survival, or with survival disparities experienced by Hispanic women.

Methods

A case-cohort study included a 15% random sample of invasive breast cancer cases diagnosed from 1997–2009 in 6 New Mexico counties and all deaths due to breast cancer-related causes. Pathology reports and tissue microarrays served as sources of ER information. Analyses were restricted to women with ≥1% ER immunohistochemical staining. Hazard ratios (HR) and 95% confidence intervals (CI) for breast cancer death were estimated using Cox proportional hazards models.

Results

Included women represented 4336 ER+ breast cancer cases and 448 deaths. Median follow-up was 93 months. ER percent expression was not associated with breast cancer survival after adjustment for standard prognostic factors (p-trend = .76). ER intensity remained a strong and independent risk factor for breast cancer survival in multivariate analyses: Women whose tumors expressed ER at intensity=2 (HR 0.6; 95% CI 0.4–1.0) or 3 (HR 0.5; 95% CI 0.2–0.9) had a reduced risk of breast cancer mortality, compared to ER intensity=1 (p-trend = .02). Neither ER protein expression nor intensity influenced Hispanic survival disparities.

Conclusions

ER percent positive staining is not independently related to breast cancer survival after adjustment for other survival-related factors. ER intensity, in contrast, demonstrates promise for prognostic utility.

Background

The estrogen receptor is an established biomarker with substantial clinical utility. Women whose breast tumors express the estrogen receptor (ER) have been known to have improved prognosis in comparison with those whose are ER negative since at least the 1970s[1,2]. ER positivity also indicates greater likelihood of response to a range of pharmacologic agents involved directly or indirectly in the estrogen-signaling blockade. Such responses may be accompanied by a reduction in breast cancer mortality risk [3] or prolonged disease-free survival [4,5].

However, ER positive status consists of several components which may have a bearing on clinical outcomes, some of which have rarely been examined in clinical practice. One such component is the proportion of cells staining ER positive using immunohistochemistry (IHC). Women with a greater proportion of ER-expressing tumors cells may be more likely to respond to anti-endocrine therapy[6,7] or to experience better prognosis [8,5,4], but not uniformly[9,10]. A second aspect is the intensity of ER staining, a measure usually examined in conjunction with ER percent positivity in relation to clinical outcomes, in the form of either an Allred score [8,6] or an H-score[5,11,12].

ER quantitative measures such as percent positivity and staining intensity are of interest in assessment of breast cancer survival disparities by race and ethnicity. In several studies, African-American women had a greater survival difference, in comparison with white women, for ER+ than ER− disease[13–15], and we have observed a similarly greater disparity in ER+ disease for breast cancer survival in Hispanic relative to non-Hispanic white women in New Mexico. Such differences suggest that aspects of ER biomarker quantity may play a role in mediating survival disparities.

In a population-based case-cohort study, we sought to determine the relationship between ER quantitative measures and breast cancer survival, and to evaluate whether differences in ER biomarker values might contribute to survival differences by Hispanic ethnicity.

Methods

Study Population

We conducted a population-based case-cohort study of breast cancer survival in 6 counties in the north central region of New Mexico (NM). Eligible breast cancer cases were identified through the NM Tumor Registry (NMTR), a founding participant in the National Cancer Institute (NCI) funded Surveillance Epidemiology End Results (SEER) program. First invasive breast cancer cases diagnosed from 1997–2009 among white female residents of six NM counties (Bernalillo, Sandoval, Santa Fe, Socorro, Torrance, Valencia) were potentially eligible. Included in the study were a 15% random sample of all eligible breast cancer diagnoses (‘subcohort’), as well as all deaths due to breast cancer-related causes (‘cases’) among incident diagnoses (not diagnosed by autopsy or death certificate), selected more than two years post eligibility event to account for lagged reporting (deaths occurring in 2012 were ascertained in 2015). Hispanic ethnicity was categorized according to the North American Association of Central Cancer Registries (NAACR) algorithm for Hispanic origin, with exclusion of women identified only by Hispanic surname. Also excluded were women who were not residents of NM, who had an unknown cause of death, or who received treatment outside the six counties, thus precluding therapy assessment (Figure 1). The study sample size was determined by the goal of identification of mediators of Hispanic survival disparities. For this analysis of estrogen receptor (ER) quantitative measures, only women with tumors known to be ER positive and for whom estrogen receptor percent staining was known are included.

Fig. 1.

Eligibility and Inclusion in Analyses: Population-Based Invasive Breast Cancer Cases Diagnosed from 1997–2009 in six New Mexico counties.

Data Collection

Initial review of medical records was conducted for inpatient and outpatient medical providers recorded by the NM Tumor Registry, and additional care providers were identified through those sources. Medical records were abstracted by certified tumor registrars (CTRs) or a registered health information technologist. Abstractors collected information regarding demographic variables, tumor characteristics, and details regarding treatment, including surgery, chemotherapy, radiation, endocrine, and biological therapy (types, dates of receipt, doses, and agents) through systematic review of paper and electronic records. Information was also obtained regarding the biological markers ER, progesterone receptor (PR) and Her2/neu (ErbB2) if available, including percent of tumor cells staining positive for each marker by immunohistochemistry (IHC), and for Her2, intensity of staining. During most of the time period of the study, ER antibody clone 6F11 (various manufacturers) was the predominant assay used, switching in 2008 to ER clone SP1.

Study pathologists also reviewed tumor and normal tissue from formalin fixed, paraffin embedded (FFPE) biopsy or surgery specimens for construction of tissue microarrays (TMAs). Briefly, two 1.5 mm cores of tumor tissue were selected and embedded in paraffin wax, and 4 um sections were cut and stained for estrogen receptor using ER alpha ID5 monoclonal antibody, using standard methods (DAKO Laboratories, Carpinteria, CA). Assessment by a pathologist (LL) blinded to outcome included nuclear ER percent staining and staining intensity (1 = weak, 2=moderate, or 3=strong) in comparison with positive and negative controls. The average of the two tumor tissue core values was computed for ER percent staining as a continuous variable, but as ER intensity coded in categories did not facilitate averaging (moderate = 2 vs strong=3) the first of the two values was used. Included in this analysis are women for whom either pathology report or TMA review indicated at least 1% of cells staining positive for ER. Only pathology report values were used in the analysis if both were available.

Follow-up and vital status ascertainment

Women were followed until death, loss to follow up, or January 1, 2013. Vital status and cause of death were determined by the NM Tumor Registry, using probabilistic matching to the New Mexico State Vital Statistics Bureau files, and the National Death Index of the National Center for Health Statistics. Vital status was verified by submission of files to the Centers for Medicare and Medicaid Services. As Hispanic women have a lower age-adjusted all-cause mortality rate than non-Hispanic white women, which can mask any elevation in cause-specific mortality rates, only deaths attributed to breast cancer as an underlying cause on the death certificate were included as events in the analysis.

Statistical analysis

ER percent staining was categorized by quintiles in the subcohort, although skewed by the 35% of tumors that scored at exactly 90% staining. ER positivity was also classified to create an Allred score[8]: the proportion score was assigned as: 1–10% staining = 2, 11–33% = 3, 34–66% = 4, and 67–100% = 5, while intensity score was categorized as weak =1, intermediate=2, and strong=3. The proportion and intensity scores were added to obtain the Allred score. Scores of 7 and 8 were combined due to small cell sizes. PR status was considered positive if at least 1% of cells demonstrated evidence of progesterone receptor. Her2 was scored using both percent positive cells and intensity, and according to the guidelines in place during the conduct of the study [16], only tumors expressing Her2 in ≥ 30% of cells at 3+ intensity were considered positive.

Cox proportional hazards models for case-cohort [17] were fit to calculate hazard ratios (HR) and 95% confidence intervals (CI), using an alpha level of .05. Death due to breast cancer-related causes was the end point of interest, and all other events were censored. Time to event was measured in months. Women in the subcohort were weighted by the inverse of the sampling fraction (100%/15% = 6.67). Differences in estrogen receptor percent positive or intensity by Hispanic ethnicity were examined using a test for interaction, by including the main effects (Hispanic ethnicity and estrogen quantitative measure) and their product (Hispanic * estrogen measure) in the statistical model. Pearson correlation coefficients were calculated to determine multicollinearity between variables. Missing covariates were rare or could not be imputed, thus missing indicators were used. The proportional hazards assumption was verified using Schoenfeld residuals [18]. Analyses were adjusted for age (5 year age groups), tumor size (<2 cm, 2–<5 cm, ≥5 cm, skin/chest wall involvement), positive lymph nodes (0, 1–3, 4+) tumor grade (1, 2, 3/4), progesterone receptor (PR) status, Her2/neu status, and Hispanic ethnicity. Adjustment for receipt of chemotherapy, radiotherapy, or endocrine therapy did not alter hazard ratios, and receipt of standard of care was high (> 84%), thus those factors were not included in multivariate models. All analyses were conducted with Statistical Analysis Systems (SAS) software v 9.4 (Cary, N.C.). Institutional review board approval for the study was received from the University of New Mexico Health Sciences Center under a Health Insurance Portability and Accountability Act (HIPAA) waiver of consent for previously collected data. We acknowledge the guidance of the “Reporting recommendations for tumor marker prognostic studies (REMARK)” guidelines in preparation of these results[19].

Results

Included in the study were 650 ER+ women (as defined by ≥ 1% positive staining by immunohistochemistry (IHC)) sampled from the cohort, termed the ‘subcohort’, who represented 4336 total breast cancer cases when weighted by the inverse of the sampling fraction (.15 or 6.67x) in the analysis, and 448 ER+ women who died of breast cancer-related causes. Median follow-up in the subcohort was 93 months. Of women included in the subcohort, almost 20% were less than age 50 years at diagnosis, 21% were Hispanic, and tumor characteristics were generally reflective of the ER+ inclusion criteria, including 91% that were also PR+ (Table 1). Demographic and tumor characteristics of included ER+ women were generally representative of those in the full SEER cohort, with slightly more included women falling into categories of age ≥ 80 years (11.7% vs. 8.8%) and tumor size extension to chest wall/skin (4.8% vs. 2.3%). Mean ER percent positive staining was 79% in the subcohort (median 90%), and did not differ by ethnicity. In initial analyses, the weighted kappa statistic for agreement between the two ER percent categorical measures was .65, while that for ER intensity was .76, on a scale in which 0.61<Kappa≤.80 is considered ‘substantial agreement’.

Table 1.

Characteristics of Estrogen Receptor (ER) Positive Incident Invasive Breast Cancer Cases Diagnosed in Six New Mexico Counties from 1997–2009 (Subcohort – 15% sample of all eligible cases).

Characteristic	Subcohort (15% sample weight 6.67) N=650			Cases (Breast Cancer Deaths) N= 448
	N		%	N		%
Age Group
<40	20		3.1	26		5.8
40–49	105		16.1	87		19.4
50–59	168		25.8	103		23.0
60–69	157		24.2	79		17.6
70–79	124		19.1	90		20.1
80+	76		11.7	63		14.1
Ethnicity
Hispanic	138		21.2	143		31.9
Non-Hispanic	512		78.8	305		68.1
Year of Diagnosis
1997–2000	188		28.9	167		37.3
2001–2004	191		29.4	165		36.8
2005–2009	271		41.7	116		25.9
Tumor Size
< 2.0 cm	396		61.7	132		30.1
2–<5 cm	180		28.0	173		39.4
≥5 cm	35		5.5	54		12.3
Chest wall/Skin	31		4.8	80		18.2
Missing	8			9
Number of Positive Nodes
0	435		68.0	151		35.3
1–3	140		21.9	144		33.6
4–9	40		6.3	84		19.6
10+	24		3.8	49		11.5
Missing	11			20
Tumor Grade
Grade I	206		36.1	52		14.5
Grade II	259		45.4	162		45.1
Grade III/IV	106		18.5	145		40.4
Missing	39			39
Progesterone Receptor
Positive	565		91.4	361		85.3
Negative	53		8.6	62		14.7
Missing	32					25
Her2/neu
Positive	84		16.9	85		25.6
Negative	413		83.1	247		74.4
Missing	72			57
Allred Score a
3	4			5
4	12		4.9	9		7.3
5	12		3.8	17		8.9
6	76		24.3	50		26.2
7	129		41.2	67		35.1
8	81		25.8	45		22.5
Missing	337			255

^aDue to small cell sizes, categories 3 and 4 of the Allred score were combined in the analysis.

Scores of 1 or 2 would be considered ER negative and thus are not included.

In univariate analyses, women with tumors that expressed ER protein in 90%, 91–96%, or ≥97% of cells had at least a 40% reduced risk of breast cancer-specific mortality, relative to those with < 60% staining (Table 2). Mortality diminished with increasing category of ER protein staining (p=.001 for trend). In multivariate models, however, the reduction in risk with increasing ER percent positivity was no longer evident, with absence of trend. In additional analyses, ER percent staining was similarly related to mortality among both non-Hispanic white and Hispanic women, with a diminished mortality HR with increasing ER protein in univariate analyses, which again was not apparent after multivariate adjustment. A test for interaction by Hispanic ethnicity also indicated that the relationship did not differ by ethnicity (p>.05). We explored whether adjustment for particular factors led to the change apparent in the multivariate analysis: In Cox proportional hazards models, ER percent positive was no longer related to breast cancer death after adjustment for only age, tumor size, number of positive nodes, and tumor grade, thus adjustment for ER intensity or for PR was not responsible for the loss of significance.

Table 2.

Estrogen Receptor Quantitative Measures in Relation to Breast Cancer Survival among Incident Invasive Breast Cancer Cases Diagnosed in Six New Mexico Counties from 1997–2009 (Subcohort – 15% sample of all eligible cases).

Characteristic	Subcohort 15% Sample (Weight 6.67) (n=650)		Breast Cancer Deaths (n=448)		Univariate Hazard Ratio	Multivariate Adjusted Hazard Ratioa
	N	%	N	%	(95% CI)	(95% CI)
OVERALL:
ER Percent
1–59%	100	15.4	115	25.7	1.0(reference)	1.0 (reference)
60–89%	113	17.4	93	20.8	0.7 (0.5–1.1)	1.1 (0.6–1.9)
90%	226	34.8	135	30.1	0.5 (0.4–0.7)	0.9 (0.6–1.5)
91–96%	118	18.1	44	9.8	0.4 (0.2–0.5)	0.8 (0.4–1.5)
97%+	93	14.3	61	13.6	0.6 (0.4–0.9)	1.5 (0.8–2.8)
p-value trend					.001	.76
ER Intensity
1	77	24.6	68	35.3	1.0 (reference)	1.0(reference)
2	149	47.6	79	40.9	0.6 (0.4–0.9)	0.6 (0.4–1.0)
3	87	27.8	46	23.8	0.6 (0.4–1.0)	0.5 (0.2–0.9)
missing	337		255
p-value trend					.04	.02
NON-HISPANIC:
ER Percent
1–59%	74	14.5	71	23.3	1.0 (reference)	1.0 (reference)
60–89%	87	17.0	66	21.6	0.8 (0.5–1.3)	1.6 (0.8–3.0)
90%	184	35.9	93	30.5	0.5 (0.4–0.8)	1.0 (0.5–1.8)
91–96%	100	19.5	31	10.2	0.4 (0.2–0.6)	0.7 (0.3–1.4)
97%+	67	13.1	44	14.4	0.8 (0.5–1.3)	1.7 (0.8–3.4)
p-value trend					.01	.93
ER Intensity
1	60	23.8	47	33.3	1.0 (reference)	1.0 (reference)
2	118	46.8	58	41.1	0.6 (0.4–1.0)	0.5 (0.3–1.0)
3	74	29.4	36	25.5	0.6 (0.4–1.1)	0.5 (0.2–1.0)
missing	260		164
p-value trend					.11	.04
HISPANIC:
ER Percent
1–59%	26	18.8	44	30.8	1.0 (reference)	1.0 (reference)
60–89%	26	18.8	27	18.9	0.5 (0.3–1.1)	1.1 (0.3–4.0)
90%	42	30.4	42	29.4	0.5 (0.3–1.0)	0.5 (0.2–1.6)
91–96%	18	13.0	13	9.1	0.5 (0.2–1.1)	1.3 (0.4–4.9)
97%+	26	18.8	17	11.9	0.4 (0.2–0.8)	1.1 (0.2–6.4)
p-value trend					.01	.82
ER Intensity
1	17	27.9	21	40.4	1.0 (reference)	1.0 (reference)
2	31	50.8	21	40.4	0.5 (0.2–1.2)	0.6 (0.1–3.4)
3	13	21.3	10	19.2	0.6 (0.2–1.7)	0.3 (0.1–3.1)
Missing	77		91
p-value trend					.24	.28

^aMultivariate models were adjusted for age, tumor size (<2 cm, 2–<5 cm, ≥5 cm, skin/chest wall involvement), positive lymph nodes (0, 1–3, 4+) tumor grade (1, 2, 3/4), progesterone receptor status, Her2/neu status, and Hispanic ethnicity.

ER percent positive staining was adjusted for ER intensity and vice-versa.

Women whose tumors demonstrated an ER staining intensity of 2 or 3 had a 40% reduction in risk of mortality in univariate analyses, in comparison with those of ER intensity 1 (Table 2). The reduced risk persisted in multivariate models, suggesting that women with ER intensity 3 had half the risk of mortality as those of ER intensity 1 (p-trend= .02) (Figure 2). A test for interaction indicated that the relationship between ER intensity and mortality did not differ by Hispanic ethnicity (p> .05). We verified that the Hispanic HR of 1.9 (95% CI 1.4–2.9) among ER positive women was unaltered when adjusted for ER percent staining or intensity (data not shown).

Fig. 2.

Breast Cancer-Specific Survival by Estrogen Receptor (ER) Staining Intensity among ER Positive Women

We further explored the relationship between ER percent staining, ER intensity, and established prognostic factors in the subcohort (Table 3). Women with increasingly greater ER positive staining had progressively smaller tumor size and lower tumor grade (Chi-square p-trend = .001), consistent with a more favorable prognosis, and increasing ER percent positivity was also associated with PR positivity (p< .0001) and Her2 negative status (p=.0002), but not increasing diagnosis age (p-trend= .08) or number of positive lymph nodes (p=.08). In contrast, increased intensity of ER staining was not associated with any prognostic indicator (tumor size, grade, lymph nodes, PR or HER2 status), except increased ER percent staining (p<.0001) and diagnosis age (p=.007) (data not shown). In the subcohort, the Pearson correlation coefficient between ER percent staining and ER intensity was .27 (p<.0001).

Table 3.

Estrogen Receptor (ER) Quantitative Measures: Association with Common Prognostic Indicators in the Population-based Subcohort Sample.

Quantitative Measure	Tumor Size (cm)		Positive Nodes		Tumor Grade
	Mean	Median	Mean	Median	Mean	Median
ER Percent:
1–59%	2.5	2.1	0.9	0	2.2	2.0
60–89%	2.3	1.6	2.2	0	1.9	2.0
90%	1.9	1.5	1.3	0	1.8	2.0
91–96%	2.1	1.7	0.9	0	1.8	2.0
97%+	1.9	1.5	1.1	0	1.7	2.0
p-trenda	.001		.08		.001
ER Intensity:
1	2.5	1.8	1.1	0	1.9	2.0
2	2.0	1.5	1.7	0	1.7	2.0
3	2.2	1.8	1.2	0	1.8	2.0
p-trend	.71		.79		.41

^aTrend test for relationship between ER quantitative measures (left column) and continuous measures of tumor size, positive node count, and grade (Chi-Square or Fisher’s Exact Test)

We sought to determine whether combined measures of ER percent staining and ER intensity, such as the Allred score, contributed to multivariate models, and how that contribution might differ from that of ER intensity alone (Table 4). We could not calculate an H-score because ER percent staining was not collected separately by each ER intensity measure[11]. The Allred score was not statistically significantly related to breast cancer survival in univariate or multivariate analyses, although some categories had to be combined due to small cell sizes. ER intensity remained related to outcome in both models.

Table 4.

Contribution of Estrogen Receptor (ER) Quantitative Measures to Breast Cancer Specific-Mortality Models.

Prognostic Factor	Univariate Modela Chi-Square	dfc	p-value	Multivariate Modelb Chi-Square	df	p-value
ER intensity	7.2	2	.03	6.24	2	.04d
Allred score	6.6	4	.16	5.43	4	.24d

^aUnivariate model includes the variable of interest + missing value indicator only.

^bMultivariate model included adjustment for age at diagnosis, tumor size (<2 cm, 2–<5 cm, ≥5 cm, skin/chest wall involvement), positive lymph nodes (0, 1–3, 4+) tumor grade (1, 2, 3/4), progesterone receptor (PR) status, Her2/neu status, and Hispanic ethnicity. Excluded was ER percent positive staining.

^cDF – degrees of freedom

^dThe contribution of ER intensity alone to the multivariate model was compared to the contribution from a combined ER intensity-ER positivity measure (the Allred score). Both ER intensity and Allred scores were modeled as dummy variables, with Allred categories of 3 and 4 combined due to small cells sizes (Table 1).

ER percent staining and intensity are most often evaluated in relationship to response to endocrine therapy, or survival or recurrence after endocrine therapy. Approximately 80% of ER+ women in the subcohort received endocrine therapy (91% of those guideline-eligible), thus numbers of non-treated women were small. Interaction terms between either ER percent staining or ER intensity with receipt of endocrine therapy in relation to breast cancer-specific survival were non-significant in multivariate models (data not shown).

Discussion

Our data provide an additional perspective on the relationship between the estrogen receptor and breast cancer survival. While the quantity of ER protein staining is strongly related in univariate analysis, our findings indicate that much of that association may be attributable to the strong correlation with other measures of breast cancer prognosis. Our results also suggest that ER intensity is a promising biomarker bearing little relationship to standard indicators of prognosis. However, our findings should be considered in light of the strengths and limitations of the study. Breast cancer tissue samples demonstrate considerable heterogeneity in ER expression from block to block, and even within an individual slide [20]. Some ER percent quantification and all ER intensity measures were conducted on TMAs, where the smaller sample of tumor may be less representative of tumor than the full slide section used in the initial pathologic diagnosis, potentially leading to misclassification. However, ER positive women constituted 82% of our full study (using 1% staining cutpoint). In SEER data collected since implementation of the ASCO/CAP guidelines recommending the 1% threshold [21] (diagnosis years 2011–2013), 84% of invasive tumors in white women are classified as ER positive [22], thus our percent positive appears representative. Absolute proportion of tumor marker staining by IHC can decline with elapsed time in FFPE tissue [23,24], and such was also noted in our study. Adjustment for years elapsed since diagnosis did not alter our results. Using a ≥20% absolute difference between pathology report and TMA as a threshold, 38% of women received a lower ER staining score on TMA and 9% a higher, which did not differ by cohort or case status. Women with missing ER intensity were included in models with a missing value indicator, and we did not employ multiple imputation to estimate intensity values, because they were independent of all other standard prognostic indicators except ER percent positive. Our ER intensity results require confirmation. We could not evaluate whether women with increased ER protein expression or intensity had a greater response to endocrine therapy because approximately 80% of women were treated, thus the study had only a small untreated comparison group. Our study limitations also include lack of uniform treatment, although adjustment for treatment received did not alter hazard ratio estimates. Strengths of the study include the population-based case identification through the NM Tumor Registry, the length of follow-up, and the case-cohort study design, which allowed efficient assessment of outcomes.

The study results should also be interpreted in the context of other findings regarding ER values and breast cancer outcome. In previous investigations, increasing ER percent positive staining (ER fmol/mg in earlier publications) has been significantly associated with response or recurrence following tamoxifen [6] or with breast cancer-specific survival in univariate analyses[7,4], and also with those outcomes after adjustment for nodal status [3], grade[25], tumor size and nodal status[26,27] or localized vs. non-localized disease + histologic grade [12]. In our study, models were adjusted for additional prognostic factors, which may have led to the difference in findings in comparison with most studies. In one follow-up of 670 breast cancer cases for a median 11.4 years, increasing ER positivity also was no longer prognostic after multivariate adjustment[28]. Allred or H-score measures have remained associated with survival-related outcomes in multivariate models in a number of studies, possibly due to inclusion of ER intensity as a component [8,5,12]. The correlation between good prognosis tumor characteristics and increasing ER positivity that we identified also has been noted in a number of investigations [29,8,30,25]. Our finding that women with the highest ER percent positivity (≥ 97%) had a non-significant elevation in breast cancer mortality is also consistent with that seen in several breast cancer studies [31–34].

While IHC staining intensity has previously been considered a somewhat subjective assessment, pathologist agreement regarding strong staining intensity may have gained additional rigor since the advent of HER2 testing, which requires an intensity of 3+ to be considered clinically positive. The lack of ER intensity reads by a second observer, which would facilitate inter-rater reliability assessment, is a limitation of our study. Increasing ER intensity may be indicative of increased binding to ER antigen within a cell, and thus could be considered a surrogate measure of increased ER cellular concentration or density (in contrast to ER percent staining, which indicates only the proportion of cells stained).

Our study differed from others due to restriction to only women with ER positive tumors. Our data suggests that among ER positive women only, increased ER protein staining is indicative of tumor characteristics associated with favorable prognosis, and is not independently associated with survival. In contrast, the results regarding ER intensity, which require confirmation in additional studies, suggest promise for categorizing differential survival in ER+ women.