Analysis of factors affecting endocrine therapy resistance in breast cancer

  • Authors:
    • Min Zhang
    • Hui Chen
    • Jun Gu
  • View Affiliations

  • Published online on: November 6, 2015     https://doi.org/10.3892/ol.2015.3887
  • Pages: 379-384
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Abstract

The present study aimed to identify the factors involved in the resistance to endocrine therapy in breast cancer (BC) patients with a positive estrogen receptor status via the collection of clinical, pathological and immunohistochemical indices. A retrospective survey was performed in patients who experienced the relapse and metastasis of BC between November 2007 and March 2013. A total of 45 patients were enrolled, and the observational duration was 7‑84 months. The Kaplan‑Meier method was used to create a survival curve, while the log‑rank test was used to analyze the survival curve and the Cox regression analysis was used to investigate the associated factors contributing to the resistance to endocrine therapy. Univariate analysis showed that the age of onset, the use of radiotherapy, the endocrine treatment program, and the expression levels of progesterone receptor (PR) and CerbB2 affected the impact of endocrine treatment. The Cox regression analysis indicated that the age of onset, the use of radiotherapy, and the expression levels of PR and CerbB2 affected the disease‑free survival time after endocrine therapy. A young age of onset, not receiving radiotherapy, a low expression level of PR and a high expression level of CerbB2 were the risk factors involved in the resistance to endocrine therapy in patients with BC.

Introduction

Breast cancer (BC) is a common malignancy that is a serious threat to the health of women. It has been reported that ~1.5 million women are diagnosed with BC annually in the world and that nearly 0.5 million succumb to this disease (1). With accumulating studies on BC, the therapeutic schemes for BC have become much more mature, evolving from the initial local excision to current surgery-based comprehensive treatments, including radiotherapy, chemotherapy, endocrine therapy, biological immune therapy and molecular-targeted therapy.

The estrogen receptor (ER) is often found in BC and this cancer is consequently labeled as ER-positive (ERP). Furthermore, as the occurrence and development of BC is so closely associated with the expression of the ER (2), endocrine therapy has been widely used as an effective therapeutic method. In the past few decades, endocrine therapeutic drugs have significantly improved the clinical outcomes of BC patients, as well as their quality of life (3,4). Recently, two multi-center, large-scale, prospective clinical trials further established the positive effect of endocrine therapy in BC treatment (5,6).

However, with the extension of endocrine treatment, certain studies found that a few BC patients showed resistance to endocrine therapy. The clinical data indicated that although there were BC-ERP patients who were suitable for endocrine therapy, ~30% of BC-ERP patients exhibited resistance to endocrine drugs in the early stages of treatment (primary resistance), and ~40% BC-ERP of patients showed the effectiveness of endocrine therapy prior to exhibiting gradually reduced sensitivity or resistance with the extension of treatment time (7,8). This ERP status greatly affected the clinical efficacy, and even lead to the failure of clinical BC treatment. Recently, certain studies reported that ERP may be associated with the following factors: Certain receptors, such as human epidermal growth factor-2, insulin-like growth factor receptor and fibroblast growth factor receptor, the phosphoinositide 3-kinase-Akt signal pathway and the abnormal expression of associated microRNAs (915). However, these studies did not take the clinical factors into consideration. Therefore the present study analyzed 45 patients who experienced the relapse and metastasis of BC between November 2007 and March 2013, and attempted to identify the clinical factors that were involved in the resistance to endocrine therapy.

Materials and methods

Subjects

BC patients who were treated in the Department of General Surgery, Jinling Hospital, Medical School of Nanjing University (Nanjing, Jiangsu, China) between November 2007 and March 2013 were enrolled in the study. The inclusion criteria were as follows: i) No metastasis when initially treated; ii) positive ER immunohistochemical results; iii) receipt of endocrine therapy; iv) metastasis or recurrence occurring following endocrine therapy; and v) complete clinical and retrospective follow-up data. This study was conducted in accordance with the Declaration of Helsinki. This study was conducted with approval from the Ethics Committee of Jinling Hospital, Medical School of Nanjing University. Written informed consent was obtained from all participants.

Research methods

A retrospective survey was performed in the 45 BC patients that met the inclusion criteria. The basic information, relevant test results and survival information were collected, including the age of onset, menstrual status at onset, pathological and lymph node status, immunohistochemistry, radiotherapy, endocrine therapy drugs and disease-free survival time. The cut-off for PR positivity was immunohistochemical staining in ≥10% of tumor cells. The scoring of CerbB2 by immunohistochemical was: -, no membrane staining; +, weak and incomplete membrane staining, ++, strong, complete membrane staining in ≤30% of tumor cells or weak/moderate heterogeneous complete membrane staining in ≥10% of tumor cells; or +++, strong, complete, homogeneous membrane staining in >30% of tumor cells. Outcome indices included the recurrence or metastasis of BC, and the follow-up time was 7–120 months. The local recurrence was confirmed by pathological diagnosis, and the sites of distant metastasis were determined by examinations such as ultrasound, X-ray, bone scan, computed tomography, magnetic resonance imagining or positron emission tomography. The disease-free survival time was calculated from the date of diagnosis to the date of recurrence.

Statistical analysis

The measurement data in this study were expressed as the mean ± standard deviation, and the counting data were expressed as rates. The Kaplan-Meier method was used to create the survival curve, the log-rank test was used to compare the disease-free survival rate and the Cox regression analysis was used to investigate the associated factors that affected the survival time. SPSS 19.0 statistical software (SPSS Inc., Chicago, IL, USA) was used for the statistical analysis. All statistical tests were two-sided, and statistical significance was defined as P<0.05.

Results

Basic data

A total of 45 BC cases were enrolled into this study, with a minimum age of 27 years old, a maximum age of 87 years old and an average age of 46.76±11.89 years old. The median disease-free survival time was 31 months. The remaining basic data are shown in Table I.

Table I.

Baseline patient demographics and clinical characteristics.

Table I.

Baseline patient demographics and clinical characteristics.

IndexFrequency, nRatio, %Effective ratio, %Accumulated ratio, %
Age, years
  ≤502760.060.0  60.0
  >501840.040.0100.0
Menstrual status at onset
  Menostasis at onset3271.171.1  71.1
  No menostasis at onset1328.928.9100.0
Staging
  II2248.948.9  48.9
  III2146.746.7  95.6
  Unclear  2  4.4  4.4100.0
Radiotherapy
  No2555.655.6  55.6
  Yes2044.444.4100.0
PR
  −1226.726.7  26.7
  +3373.373.3100.0
CerbB2
  − and +3168.968.9  68.9
  ++ and +++1431.131.1100.0
Endocrine therapy
  Tamoxifen3475.675.6  75.6
  Aromatizing enzyme inhibitor1124.424.4100.0

[i] PR, progesterone receptor.

Single factor analysis of effects of different clinical indicators on endocrine resistance

The disease-free survival times were observed with regard to the age of onset, menstrual status at onset, BC staging, chemotherapy status, endocrine therapy and different levels of PR and CerbB2, and then survival curves were created. It was demonstrated that patients with an age of onset of >50 years, stage II disease, radiotherapy, PR(+) and CerbB2 (− and +) showed a higher incidence of resistance to endocrine therapy (Fig. 1).

Cox univariate regression analysis

The disease-free survival time, recurrence and metastasis were set as the dependent variables. By contrast, the age of onset, menopausal status at onset, lymph node status, clinical staging, radiotherapy, endocrine therapy, PR expression and CerbB2 expression were set as the independent variables for the Cox univariate regression analysis. The results revealed that the age of onset, radiotherapy, endocrine therapy, PR expression and CerbB2 expression exhibited an impact on the disease-free survival time (Table II).

Table II.

Univariate Cox regression analysis.

Table II.

Univariate Cox regression analysis.

95% CI

IndexBSEIndexP-valueRRLower limitUpper limit
Age of onset−0.8600.3695.4300.020a0.4230.2050.872
Menstrual status at onset−0.0360.3320.0120.9130.9650.5031.849
Staging−0.2650.3270.6580.4170.7670.4041.456
Radiotherapy−1.0850.3509.6290.002a0.3380.1700.671
Endocrine therapy   0.9900.3687.2200.007b2.6921.3075.542
PR expression−0.8320.3635.2340.022a0.4350.2140.888
CerbB2 expression−0.5020.1402.1240.017a0.6050.4600.796

a P<0.05;

b P<0.01. CI, confidence interval; RR, risk ratio; PR, progesterone receptor; SE, standard error.

Cox multivariate regression analysis

The disease-free survival time, recurrence and metastasis were set as the dependent variables. Those clinical indicators that had statistical significance in the Cox univariate regression analysis, namely the age of onset, radiotherapy, endocrine therapy, PR expression and CerbB2 expression, were set as the independent variables for the Cox regression with the Enter method. The model testing results indicated that the model had statistical significance (Table III). The Cox regression analysis showed that the different ages of onset exhibited a statistical significant effect on the endocrine therapy (P=0.019), with a standardized odds ratio (OR) value of 3.658 and a 95% confidence interval (CI) of 1.235–10.836. Different radiotherapies also exhibited statistical significance (P=0.006), with a standardized OR value of 2.838 and a 95% CI of 1.342–6.000. Different expression levels of PR also exhibited statistical significance (P=0.002), with a standardized OR value of 2.631 and a 95% CI of 1.416–4.889. Furthermore, different expression levels of CerbB2 exhibited statistical significance (P=0.043), with a standardized OR value of 2.631 and a 95% CI of 1.416–4.889. The Cox multivariate regression analysis showed that the different ages of onset, the use of pre-operative radiotherapy, and the different expression levels of PR and CerbB2 exhibited statistical significance with regard to the post-endocrine-therapy disease-free survival time, which indicated that these factors may affect the endocrine therapy resistance of BC (Table IV).

Table III.

Model test of Cox regression.

Table III.

Model test of Cox regression.

ParameterValue
2-fold logarithm likelihood value203.737
χ230.42
Degrees of freedom9
P-value<0.0001

Table IV.

Multivariate Cox regression analysis.

Table IV.

Multivariate Cox regression analysis.

95% CI

IndexEstimated valueSDWaldP-valueStandardized estimated valueLower limitUpper limit
Age of onset   1.2970.5545.4880.019a3.6581.23510.836
Staging   0.0900.4840.0350.8531.0940.4242.822
Radiotherapy   1.0430.3827.4390.006b2.8381.3426.000
Endocrine therapy   0.7620.4572.7850.0952.1420.8755.243
PR expression   0.9670.3169.3710.002b2.6311.4164.889
CerbB2 expression−0.9610.4764.0770.043a0.3820.1500.972

a P<0.05;

b P<0.01. CI, confidence interval; SD, standard deviation; PR, progesterone receptor.

Discussion

Currently, endocrine therapy is an important part of comprehensive BC treatment (16). Although molecular typing and screening in recent years have provided an effective method for choosing the most sensitive candidates for endocrine therapy, a considerable number of patients exist that are not sensitive to endocrine therapy (17,18). Therefore, further investigation of the specific indicators is necessary for improving the efficacy of endocrine treatment. The present study aimed to search for novel indicators for screening the sensitive populations and predicting the efficacy of the treatment.

Considering the close association between ER and BC, the sensitivity to endocrine therapy in patients with different levels of ER was first analyzed. The ATAC trial compared the efficacy of tamoxifen (TAM) and anastrozole, from which one result showed that the recurrence rate of ER+/PR patients was significantly higher than that of ER+/PR+ patients. Due to the different PR status, this cancer could not simply be referred to as receptor-positive BC. In 2007, experts in the St. Gallen conference came to the consensus that ER+/PR was included in the endocrine incomplete reaction type (19). Arpino et al (20) reported that 70% of BC patients with double-positive ER and PR were sensitive to endocrine therapy, while only 34% of ER+/PR BC patients were sensitive to endocrine therapy. This data confirmed that besides ER, PR also played an important role in forecasting the efficacy of endocrine therapy. In ER+ BC patients, PR patients were more prone to generating TAM resistance than the PR+ patients, therefore leading to treatment failure (21). In the present study, the Cox multivariate regression analysis showed that the treatment efficacy of ER+/PR+ BC patients was significantly better than those who were ER+/PR, which was consistent with other studies. Nicholson et al (22) first reported that the efficacy of TAM towards metastatic BC patients with CerbB2 overexpression was decreased from 38 to 7% compared with those with no CerbB2; Wright et al (23)also showed that high CerbB2 expression made the response of ER+ BC patients towards TAM decrease from 48 to 20%. Meng et al (24) considered that the higher the expression level of CerbB2 the quicker the progress of BC metastasis or recurrence, and suggested that the overall disease-free survival time would also be short, all represented as the different levels of endocrine therapy resistance. In the present study, the Cox multivariate regression analysis showed that the risk of endocrine resistance in the patients with high CerbB2 expression (++ and +++) was higher than that in those with low or no expression of CerbB2 (− and +). This was also basically consistent with the results of the study by Gregory et al (25).

The present results also indicated that certain clinical parameters may predict the sensitivity of endocrine therapy. According to the Cox multivariate regression analysis, patients >50 years old at onset was less sensitive to endocrine therapy than those ≤50 years old. This may be as the degree of malignancy in the young BC patients was higher, with a more aggressive nature, which would be more prone to relapse and metastasis; while the elder BC patients exhibited slow progression, with a prognosis that was relatively improved. Although BC is a hormone-dependent tumor, the present study found that menopause exhibited no significant effect on endocrine therapy resistance. This conclusion was inconsistent with some previous studies (26). A small sample size, selection criteria and different age-division ranges may also contribute to this conclusion. The application of BC chemotherapeutic drugs reduced the risk of BC recurrence and metastasis, and prolonged the survival time. No studies exist to confirm the impact of radiotherapy on endocrine therapy resistance, however, in the present study, radiotherapy had a positive impact, which probably resulted from the small sample size and requires future large-scale clinical trials for further verification.

The aromatase inhibitors (AIs) were effective towards the TAM-resistant BC, and have been approved as a second-line drug against postmenopausal metastatic BC (27). The 91-month follow-up data for IES031 showed that compared with TAM, exemestane significantly improved disease-free survival, and reduced the risks of local and distant recurrence, while significantly increasing the overall survival rate of ER+ patients for unknown reasons. The results of a 2.75-year follow-up by TEAM also showed that, compared with TAM, exemestane significantly reduced the risks of recurrence and distant metastasis (28). A clinical study (29) showed that with regard to the postmenopausal BC patients, when TAM treatment generated resistance, the application of second-line drugs (AIs) would still be effective. A total of 30% of the BC patients who were resistant to the AI therapy could obtain a clinical benefit from fulvestrant treatment, which also indicated that selective estrogen receptor modulators would play a role against the AI-resistant cells. Therefore, the sequential or combined application of endocrine therapy drugs could avoid endocrine therapy resistance to a certain extent. In the present study, univariate Cox regression analysis demonstrated that the patients receiving tamoxifen exhibited a significantly improved disease-free survival rate compared with those receiving AIs, however, the difference was not observed in the multivariate Cox model. Upon review of the clinical data, aside from the small sample size, the results were also impacted by the fact that among the 45 BC patients, 6 patients did not experience relapse or metastasis within 10 years. Of these patients, 5 were administrated TAM, and among these 5, 1 patient underwent a modified radical mastectomy combined with bilateral oophorectomy and 1 patient underwent a uterine adnexectomy for other gynecological disease prior to BC diagnosis. Therefore, the gynecological surgeries affected the endocrine status, which may have had a greater impact on the results.

Taken together, the present study demonstrated that certain clinicopathological parameters, including younger age of onset, not receiving radiotherapy, a low expression level of PR and a high expression level of CerbB2, may be risk factors that contribute to tamoxifen or AIs resistance. Hence, patients with these characteristics should be cautiously supervised during endocrine therapy.

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Zhang M, Chen H and Gu J: Analysis of factors affecting endocrine therapy resistance in breast cancer. Oncol Lett 11: 379-384, 2016.
APA
Zhang, M., Chen, H., & Gu, J. (2016). Analysis of factors affecting endocrine therapy resistance in breast cancer. Oncology Letters, 11, 379-384. https://doi.org/10.3892/ol.2015.3887
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Zhang, M., Chen, H., Gu, J."Analysis of factors affecting endocrine therapy resistance in breast cancer". Oncology Letters 11.1 (2016): 379-384.
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Zhang, M., Chen, H., Gu, J."Analysis of factors affecting endocrine therapy resistance in breast cancer". Oncology Letters 11, no. 1 (2016): 379-384. https://doi.org/10.3892/ol.2015.3887