- Research article
- Open Access
Serum HER2 extra-cellular domain, S100ß and CA 15-3 levels are independent prognostic factors in metastatic breast cancer patients
BMC Cancer volume 16, Article number: 428 (2016)
Metastatic breast cancer (MBC) prognosis is highly variable, depending on various factors such as the biological subtype, the performance status, disease extension…. A better evaluation of a patient’s prognostic factors could allow for a more accurate choice of treatments. The role of serum tumor markers remains, however, unclear in this population. Considering the recent interest in phenotypic changes and tumor heterogeneity during breast cancer progression, additional tumor markers could be interesting in this setting.
Two hundred fifty MBC patients treated at the Montpellier Cancer Institute (2008–2015) were retrospectively selected, based on the availability of frozen serum samples. The usual MBC clinical and pathological variables were collected, altogether with Cancer Antigen 15-3 (CA15-3), Carcinoembryonic Antigen (CEA), HER2 extra-cellular domain (ECD), Neuron Specific Enolase (NSE), S100ß protein and Matrix Metalloproteinase 9 (MMP-9) serum levels in order to determine their prognostic value.
With a median follow-up of 40.8 months, median overall survival was 16.2 months (95 % CI 12.4–20.6). In multivariate analysis, the performance status, brain or subcutaneous metastases, the number of previous metastatic chemotherapy lines and the tumor biological subtype were independent prognostic factors. Elevated CA 15-3 (HR = 1.95, IC 95 % 1.31–2.93, p = 0.001), HER2 ECD (regardless of tumor HER2 status, HR = 2.51, IC 95 % 1.53–4.12, p < 0.001) and S100ß (HR = 1.93, IC 95 % 1.05–3.54, p = 0.033) serum levels were independently associated with a poor outcome.
Serum CA 15-3, HER2 ECD and S100ß could represent useful independent prognostic factors in MBC. Of particular interest is the independent value of serum HER2 ECD levels, regardless of the tumor HER2 status, possibly linked to metastatic tumor heterogeneity.
The survival of patients with metastatic breast cancer (MBC) has improved over the past decades with the use of new therapeutic agents . However, the outcome remains poor (median overall survival [OS] of 21–30 months) [1, 2]. MBC prognosis is highly variable depending on various factors, with survivals ranging from a few months to decades. This variability probably reflects the biological heterogeneity among MBC . Indeed, in a study on 1 038 MBC patients, the median OS was 27 months for tumors with overexpression of hormone receptors (HR) (HR-positive tumors) compared with 9 months for HR-negative tumors . Likewise, the median OS for HER2 (Human epidermal growth factor receptor 2)-positive/HR-positive tumors and triple negative tumors were 34.4 and 8.8 months, respectively, in a series of 815 MBC patients . Given this important variability in terms of outcomes, a better evaluation of a given patient’s prognostic factors could allow for a more accurate choice of the therapeutic strategy.
To date, several clinical and biological prognostic factors have been reported, including patients’ characteristics (age and performance status), previous medical history (prior chemotherapy [CT] for MBC treatment), disease extension (number and location of metastatic sites) and tumor biology. A high number of metastatic sites, the presence of visceral metastases compared to bone and/or soft tissue metastases only, and the presence of liver or brain metastases (BM) are clinical features associated with a poor outcome in various studies [4–6]. Tumor biology remains a cornerstone of patients’ prognosis, linked to prognostic and predictive factors (HR and HER2 expression). HR-positive tumors have been associated with a better outcome, and with response to hormone therapy [4, 7, 8]. Regarding the HER2 status, series from the pre-Trastuzumab era have demonstrated a negative prognostic value of the HER2 amplification in MBC . Since the introduction of Trastuzumab, however, this effect has been reversed and HER2 amplification has been associated with a better outcome in recent series [5, 10]. In the series published by Dawood et al., patients with HER2-positive MBC receiving Trastuzumab had a better outcome than patients with HER2-positive MBC not receiving Trastuzumab, or than patients with HER2-negative MBC . Overall, the different biological subtypes according to the HR and HER2 statuses have been correlated with variable prognosis in MBC as well as in early breast cancer (EBC) . High Lactate Dehydrogenase (LDH) and low albumin serum levels have also been reported as poor prognostic factors in MBC in several studies [11–13].
The role of serum tumor markers in predicting outcome remains, however, unclear in patients with MBC. High Cancer Antigen 15-3 (CA 15-3) and Carcinoembryonic Antigen (CEA) serum levels seem to be associated with a poorer survival [14–16]. The prognostic value of serum HER2 extra-cellular domain (ECD) has been shown in HER2-positive MBC patients, high serum HER2 ECD levels being associated with a poor outcome [17, 18]. Few studies have investigated this question in HER-negative tumors: some authors have suggested a prognostic value of the serum HER2 ECD in HER2-negative tumors as well .
Other biomarkers have been investigated to predict outcome in MBC patients, including circulating tumor cells and growth factors [14, 18]. Considering the recent interest in phenotypic changes and tumor heterogeneity during breast cancer progression, it could be interesting to evaluate additional tumor markers in this setting to better assess tumor heterogeneity in a non-invasive manner.
Among these biomarkers, the Neuron Specific Enolase (NSE), a neuronal marker, seems a good candidate. An elevated serum NSE level in MBC could reflect either a neuroendocrine differentiation of the tumor or a central nervous system extent of the disease, and be linked with poor outcome. Serum NSE has been studied in small-cell lung cancers, and in various neurological conditions such as stroke or Creutzfeld-Jakob disease [20–22]. However, to our knowledge, its prognostic value has never been investigated in MBC.
The Matrix Metalloproteinase 9 (MMP-9), a proteolytic enzyme that degrades the extra-cellular matrix components, is involved in tumor invasion and metastatic dissemination . Its serum level has been associated with several solid tumors including breast cancer [24–26]. In breast cancer, it has been correlated with poor prognostic in one study only . Moreover, a recent study on gastric cancer has reported interactions between MMP-9 and HER2 in invasion processes .
The serum S100ß protein is involved in cell proliferation . Its prognostic value has been demonstrated in melanoma . Being an astrocytic marker, its elevation in serum is a marker for an alteration of the blood-brain barrier. Therefore, serum S100ß has been widely studied in various neurological diseases [21, 30]. Due to the high frequency of asymptomatic central nervous system involvement in breast cancer, serum S100ß could have a prognostic value and be an interesting serum biomarker in MBC .
The aim of the present study was to evaluate the prognostic value of serum tumor markers, namely CA15-3, CEA, HER2 ECD, NSE, MMP-9 and S100ß in a series of MBC patients. We hypothesized that these biomarkers serum levels were significantly associated with OS.
We conducted a retrospective, monocentric study on MBC patients treated at the Montpellier Cancer Institute between 2008 and 2015.
MBC patients were retrospectively identified for the purposes of a case-control study conducted by our team in MBC patients with BM (submitted), by reviewing the medical records of the MBC patients from the Montpellier Cancer Institute database between 2008 and 2015. Inclusion criteria were: patient ≥ 18 years old; histologically-confirmed MBC; availability of the HR and HER2 statuses of the primary tumor; availability of a frozen serum sample performed at the metastatic phase, for biomarker determination. Patients with history of other cancer(s) were excluded.
The primary objective was to evaluate the prognostic value of six serum biomarkers (namely, CA 15-3, CEA, HER2 ECD, NSE, MMP-9 and S100ß) in patients with MBC. The secondary objectives were to evaluate the prognostic value of other usual clinical and biological prognostic factors.
Clinical and biological data
Clinical and biological data were collected by reviewing the medical records of the selected patients: demographical, clinical (date of diagnosis of breast cancer and metastatic disease; metastatic status at diagnosis; inflammatory breast cancer; treatment history), and biological data (histological grade of the primary tumor, HR and HER2 statuses). The tumor was considered HR-positive when more than 10 % of cells were labeled in immunohistochemistry (IHC) or when the concentrations of estrogen (ER) and progesterone receptors (PR) using the radio ligand binding method were above 10 ng/mL and 50 ng/mL, respectively. The tumor was considered HER2-positive if the primary tumor was scored 3+ by IHC or if the HER2 gene was amplified by fluorescence or chromogenic in situ hybridization (FISH/CISH) for IHC 2+ cases. For cases with HR and/or HER2 statuses changes over time, the biology used was that of the most recent sample. For cases of synchronous or asynchronous bilateral cancer with discrepant HR and/or HER statuses, the most unfavorable biology was used: higher histological grade, HR-negative, HER2-negative (Trastuzumab era).
Analysis of serum biomarkers
The selected serum samples were extracted from the Biological Resource Center of the Montpellier Cancer Institute (Biobank number BB-0033-00059) (samples processed within one hour after sampling and stored at −80 °C in serum aliquots). The biologists performing the analyses were blinded to the study endpoints. HER2 ECD, NSE and MMP-9 serum levels were measured by ELISA using commercially available ELISA assays (Human MMP-9 Quantikine Kit R&D Systems, Minneapolis, MN, USA for MMP-9, ELSA-NSE RIA kit, Cisbio assays, Gif sur Yvette, France for NSE, and Nuclea Diagnostic Laboratories kit, LLC for HER2 ECD) according to the manufacturer’s instructions. For MMP-9, a duplicate analysis was performed, but no duplicate analyses were deemed necessary. S100ß serum levels were measured with the Elecsys S100 Immunoassay (Roche Diagnostics GmbH, Mannheim, Germany). Other biological parameters, including CA 15-3 (ELSA-CA15-3 Cisbio assays Gif sur Yvette France) and CEA (Elecsys CEA test Roche Diagnostics, Meylan, France), had previously been analyzed for clinical purposes and were collected. As we evaluated the prognostic value of biomarkers, the manuscript adheres to the REMARK guidelines.
Categorical variables were reported: number of missing data, number and percentage for each variable modality. For continuous variables, number of missing data, mean, standard deviation, median and range values were computed. OS delay was measured from the date of the serum sample to the date of death from any cause. Patients alive without events were censored at the closing date of the study analysis (March 30th, 2015). The OS was estimated according to the Kaplan-Meier method, and presented as medians with their 95 % confidence intervals (95 % CIs) and survival rates (in percent, with 95 % CIs) . The median duration of follow-up was estimated using a reverse Kaplan-Meier method and presented with its 95 % CIs. As there are no validated cut-offs in MBC patients, different cut-offs reported in previous studies were used to investigate the prognostic value of the serum HER2 ECD (cut-offs 15 ng/mL and 30 ng/mL [17, 33]), NSE (cut-off 12.5 μg/L ), MMP-9 (cut-off 50 ng/mL ) and S100ß (cut-offs 0.12 μg/L and 0.072 μg/L ). The following cut-offs were used for the usual breast cancer biomarkers: 30 U/mL for CA 15-3 and 10 ng/mL for CEA. To investigate prognostic factors, a multivariate analysis was performed using the Cox’s proportional hazards regression model with a stepwise procedure. Hazard ratios (HR) with 95 % CIs were calculated to display risk changes. All p values reported were two-sided, and the significance level was set at 5 % (p < 0.05). Statistical analysis was performed using the STATA 13 software (Stata Corporation, College Station, TX).
This study was reviewed and approved by the Montpellier Cancer Institute Institutional Review Board (ID number ICM-URC-2014/73). Considering the retrospective, non-interventional nature of this study, no specific consent was deemed necessary by the clinical research review board of the Montpellier Cancer Institute.
A total of 250 women with MBC were included in the study. The clinical and biological characteristics of patients at baseline are presented in Table 1. Median age at the time of the serum sample was 58.4 years old (range 26.4–87.2). The most represented histological subtype was ductal carcinoma in 82.9 % of cases. Tumor biology was distributed as follows: HER2+/HR+ in 23.2 %, HER2+/HR- in 24.4 %, HER2-/HR+ in 25.6 % and triple negative in 26.8 % of cases. Among the 250 patients, 70 presented with synchronous metastases at breast cancer first diagnosis. The median number of previous chemotherapy (CT) lines was 1 (range 0–9; no previous CT 24.4 %, one or two CT lines 45.2 %, and more than two CT lines 30.4 %). 40.4 % of patients had received a previous anti-HER2 treatment (83.2 % of patients with a HER2-positive tumor). The metastatic-free interval (MFI) was over 24 months for 55.6 % of patients. At the time of the serum sample, 60.8 % of patients had liver metastases, 56.8 % bone metastases, 53.6 % lymph nodes metastases, 50.0 % had lung metastases, 35.2 % of patients had BM, 22.0 % pleural metastases, 17.2 % had subcutaneous metastases and 43.6 % had metastases at other sites. A vast majority of patients had at least two metastatic sites (86.0 %). Only 13 patients (5.2 %) had only bone and/or subcutaneous metastases. Most patients had a good performance status (ECOG status ≤ 2 in 90.6 %). Albumin serum level was available for 158 (63.2 %) patients and was low in 23 cases (14.6 %). Serum LDH level was high in 43.3 % of the 90 cases with a reported value.
Serum CA 15-3, CEA, HER2 ECD, NSE, MMP-9 and S100ß
The median serum biomarker levels were: 38.0 U/mL (range 8.0–1988.0) for CA 15-3, 4.0 ng/mL (range 1.0–5122.0) for CEA, 13.6 ng/mL (range 2.8–280.0) for HER2 ECD, 9.0 μg/L (range 1.9–57.3) for NSE, 341.0 ng/mL (range 38.7–2051.0) for MMP-9 and 0.05 μg/L (range 0.0–0.6) for S100ß. The proportion of patients with high values is presented for each serum tumor marker in Table 1. Serum CA 15-3 and CEA were elevated in 60.3 % and 33.6 % of the 232 patients with known values. Serum HER2 ECD (cut-off 15 ng/mL) and MMP-9 (cut-off 50 ng/mL) were elevated in 42.8 % and 97.6 % of the 250 patients with known values, respectively. Serum NSE was high in 30.5 % of the 249 patients with known values, and serum S100ß (cut-off 0.12 μg/L) in 7.8 % of the 243 patients with known values. All but two patients had at least one elevated biomarker among S100ß, NSE, MMP-9 or HER ECD (when using cut-offs at 15 ng/mL for HER ECD and 0.12 μg/L for S100ß).
At the time of the analysis, 69.2 % of patients had died, mostly because of MBC progression (87.9 %). With a median follow-up of 40.8 months, median OS was 16.2 months (95 % CI 12.4–20.6). The 1-year and 2-year survival rates were 57.1 % (95 % CI 50.6–63.1) and 38.5 % (95 % CI 32.1–44.9), respectively. The following variables were significant poor prognostic determinants in univariate analysis (Table 2): grade 3 tumors (p = 0.02), PR-negative tumors (p = 0.03), ER-negative tumors (trend, p = 0.09), HER2-negative tumors (p < 0.001), metachronous metastatic disease (p = 0.01), existence of two or more metastatic sites (p < 0.001), visceral metastases (compared with bone and/or subcutaneous metastases only) (p = 0.001), liver metastases (p < 0.001), BM (p < 0.001), subcutaneous metastases (p = 0.006), metastases from other sites (p < 0.001), number of previous metastatic CT lines >2 (p < 0.001), no previous anti-HER2 treatment (p < 0.001), poor ECOG performance status (p < 0.001), and low albumin levels (p < 0.001) (Fig. 1). Among the tested biomarkers, high CEA (p = 0.001), high CA 15-3 (p < 0.001), high NSE (p < 0.001), high HER2 ECD (p < 0.001 with cut-offs at 15 ng/mL and 30 ng/mL), high S100ß (p < 0.001 with cut-offs at 0.12 μg/L and 0.072 μg/L) and high MMP-9 (p = 0.009) serum levels were also poor prognostic determinants in univariate analysis (Fig. 1). The prognostic value of serum HER2 ECD (with cut-offs 15 and 30 ng/mL) was significant in patients with HER2-positive tumors as well as in the HER2-negative tumors group (p < 0.0001 and p = 0.005, respectively, with cut-off 15 ng/mL) (Fig. 2). A multivariate analysis was performed (n = 208), excluding albumin due to a high number of missing data. The ECOG performance status, the presence of BM or subcutaneous metastases, the number of previous metastatic CT lines, the tumor biological subtype, and high serum CA 15-3, S100ß (cut-off at 0.12 μg/L) and HER2 ECD (cut-off at 30 ng/mL) levels were independently associated with poor prognosis (Table 3). We performed another analysis considering the biomarkers as continuous variables and confirmed that high serum CEA (p < 0.001), CA15-3 (p = 0.003), NSE (p < 0.001), HER2 ECD (p = 0.009) and S100ß (p < 0.000), but not MMP-9 (p = 0.476), were significantly associated with survival in univariate analysis. In multivariate analysis, HER2 ECD and S100ß, but not CA 15-3, remained independent prognostic factors (p = 0.004 and p < 0.001, respectively).
Prognostic value of serum CA15-3, HER2 ECD and S100ß
Our study confirmed the prognostic value of serum CA 15-3 [14–16]. On the contrary, serum CEA, that has previously been associated with worse outcome (progression-free survival and OS) in several studies, was correlated with poor prognosis in univariate but not multivariate analysis. This result is possibly linked to a preponderant effect of other more robust prognostic factors [14–16].
In addition to the prognostic value of CA 15-3, our study showed that high serum HER2 ECD and S100ß levels were independent unfavorable prognostic factors in MBC patients. The prognostic value of serum HER2 ECD appeared significant not only in HER2-positive tumors but also in HER2-negative tumors (p = 0.03). Discordance between the tumor HER2 status and the HER2 level have been previously reported . In our study, 44 patients (33.6 %) with a HER2-negative tumor had an elevated serum HER2 ECD (≥15 ng/mL). The prognostic impact of serum HER2 ECD has already widely been studied in patients with HER2-positive MBC [17, 18]. However, it has been less frequently investigated in patients with HER2-negative MBC, with only few studies suggesting a prognostic value in this population as well . Our result could have different explanations. First, it could be linked to phenotypic MBC heterogeneity, some tumor cells displaying HER2 overexpression among HER2-negative MBC . It could also be due to changes in the HER2 status along tumor progression. However this phenomenon seems to be a rare event [38, 39]. In a recent study, discrepancies between the primary tumor and distant metastases as regards to the HER2 status were observed in only 8 % of cases . Moreover, we collected the most recent tumor biology data, as some phenotypic changes are possible between the initial tumor and metastatic recurrences. Finally, it has been recently shown that some HER2-negative tumors (tumors that do not overexpress the HER2 ECD) are positive for the intracellular domain of HER2 and/or show an amplification of the HER2 gene . In the study published by Panis et al., this group of patients (16 % of the patients with a HER2-negative tumor) had a survival similar to that of HER2-positive tumor patients. Moreover, the PI3K expression and the AKT pathway activation were similar to that of HER2-positive tumors. This phenomenon could be explained by an increase in the ECD cleaving, leading at the same time to an increase of serum ECD and of a negative HER2 tumor phenotype. We can thus hypothesize that the prognostic value of serum HER2 ECD in HER2-negative tumors could be linked in part to the subset of patients with “false” HER2-negativity, that is, patients without HER2 ECD expression but with expression of its intracellular, activated, domain.
The prognostic value of S100ß in MBC has been scarcely investigated in breast cancer so far, while it has been well demonstrated in melanoma . We found high serum S100ß to be an independent unfavorable prognostic factor. This is concordant with the results of another study on a series of 80 EBC and MBC patients . In this study, elevated serum S100ß (cut-off 0.12 μg/L) was a significant predictor of poor disease-free survival. However, our result must be considered with caution as the two groups identified by S100ß serum levels were grossly unbalanced regarding the number of patients (n = 19 for S100ß > 0.12 μg/L compared to n = 224 for normal S100ß). Despite its significant prognostic value in multivariate analysis, its clinical impact is questionable, as rarely elevated biomarkers appear to be of limited usefulness in clinical practice. It is interesting to note that the analysis of S100ß with the cut-off of 0.072 μg/L, even though it defined two more balanced groups regarding the number of patients, did not reach significance in multivariate analysis. Our study has included a high number of patients with BM (35 %, as discussed in the “limitations” section), and BM are associated with a poor outcome. Among these patients, 73 (82.9 %) had a S100ß serum level > 0.12 μg/L. It could thus be hypothesized that the negative prognostic impact of high serum S100ß is linked to the presence of BM. However, the serum S100ß was not predictive of BM in a series of 101 patients with BC . This question is also being studied in another article from our team (under review).
We found that neither NSE nor MMP-9 serum levels were correlated with outcomes. The prognostic value of serum NSE in MBC patients had, to our knowledge, never been studied before. Despite its prognostic value in univariate analysis, we found that it was not an independent prognostic factor in this population.
High serum MMP-9 has been associated with poor disease-free survival and OS in previous studies in breast cancer patients [25, 35]. We found a reverse association in univariate analysis: patients with high serum MMP-9 had a better outcome in our study. However, MMP-9 did not remain an independent prognostic factor in multivariate analysis. Several hypotheses can be made to explain this discordant result. First, it could be due to differences in the population’s initial characteristics, as the study by Sung et al. evaluated MMP-9 tissue expression in EBC, while our study included advanced MBC patients . One can thus hypothesize a differential effect between the role of MMP-9 in invasion (linked to EBC relapse) and its lack of prognostic impact in later stage MBC, for whom the invasion and metastatic process has already been set. Another explanation could be linked to the different method of MMP-9 evaluation, based in one of the previous studies on tissue expression, and on serum levels in our present study. Other limitation for the analysis of the prognostic impact of MMP-9 on outcomes is the absence of a validated cut-off. We used a previously reported cut-off of 50 ng/mL, but other cut-offs may be more pertinent . Finally, the two groups defined by MMP-9 serum levels in our study were very unbalanced (n = 6 for MMP-9 ≤ 50 ng/mL compared with n = 244 for MMP-9 > 50 ng/mL), which may explain our negative results. Serum MMP-9 being elevated in a vast majority of patients, its clinical usefulness is questionable.
Prognostic value of other biological parameters
The classical prognostic value of HR status was confirmed in our study (median OS 22.8 months for PR-positive tumors compared with 12.5 months for PR-negative tumors; p = 0.035) [4, 7, 8]. Concerning the ER status, this difference in OS did not reach significance, which can be explained by the fact that PR positivity ensures a functionally intact estrogen response pathway in ER-positive tumors, and appears in different studies as a strong indicator of ER sensitivity.
Regarding the tumor HER2 status, we found that the presence of HER2 hyper-expression/amplification was an independent favorable prognostic factor in MBC. Median OS was 31.6 months in the HER2-positive group compared with 10.4 months in the HER2-negative group (p < 0.001). This result is concordant with that of other recent studies (considering the 2008–2015 inclusion period of our study) conducted in the Trastuzumab field, but discordant with pre-Trastuzumab studies [9, 10]. Indeed, in the study published by Dawood et al., the outcome was more favorable in patients with HER2-positive tumors treated with Trastuzumab than in patients with HER2-positive tumors not receiving Trastuzumab, or than in patients with HER2-negative tumors . In our study, patients who had received a previous anti-HER2 treatment had, indeed, a better outcome (median OS 28.7 months compared with 11.7 months for patients not receiving anti-HER2 treatments, p < 0.001).
We found significant differences in median OS between the four biological groups of tumors, confirming previous data. Patients with HER2+/HR+ tumors have the best outcome, with a median OS of 32.1 months in our study, consistent with the 34.4 month median OS reported in a previous study . Triple negative tumors have the most dismal outcome, with a median OS of 7.6 months in our study consistent with the 8.8 month median OS previously reported . HER2+/HR- and HER2-/HR+ tumors present with an intermediate survival (median OS of 28.7 months and 12.5 months, respectively). In the study published by Lobbezoo et al., patients with HER2-/HR+ tumors had a better outcome than patients with HER2+/HR- tumors, conversely to what was found in our study . This difference could have two explanations. First, only 27.0 % of patients with HER2-positive tumors received Trastuzumab in this study, compared 83.2 % in our study (and only 37.5 % versus 80.3 % of patients with HER+/HR- tumors, in the Lobbezoo et al. study and the present work, respectively). Moreover, a more heterogeneous population of patients was included in our study, with a variable number of previous CT lines (range 0–9), whereas Lobbezoo et al. have investigated prognostic factors at the time of the diagnosis of the metastatic disease.
Other primary tumor characteristics, such as the histological subtype or the histological grade, were not correlated with the patients’ prognosis. This is concordant with results from other large studies in MBC [5, 11, 43]. However the histological grade was shown to have a prognostic value in other studies [4, 44].
Serum LDH was not found to be predictive of the patients’ outcomes in both univariate and multivariate analysis, which is discordant with the results of other studies [11, 13]. The high proportion of missing data (n = 160) probably explains our result. Also due to a high number of missing data, the albumin serum level could not be included in the multivariate Cox model, however a high level had a negative prognostic value in univariate analysis, and has been reported as an independent prognostic factor of poor outcome in previous studies [12, 13].
Clinical prognostic factors
Among clinical parameters associated with MBC patients’ outcome, the number of metastatic sites and the metastatic sites involved are both of high value. The presence of bone and/or subcutaneous metastases are associated with a better outcome (median OS >33 months) compared with the presence of multiple or visceral metastases (median OS 22 months) . In our study, the occurrence of visceral metastases (compared with bone and/or subcutaneous metastases only) was a poor prognostic factor, however this results must be considered with caution as only few patients had isolated bone and/or subcutaneous metastases (n = 13), due to a high proportion of patients with advanced MBC. The presence of BM was associated with a poor outcome in our study (median OS of 9.7 months compared with 30.4 months, p < 0.001), as shown in previous studies . However, the presence of liver metastases was associated with poor prognosis in univariate but not multivariate analyses, while its poor prognostic value has been demonstrated in previous studies . This difference may be due to the over-representation of BM in our study. As shown in previous studies, a high number of metastatic sites was a poor prognostic determinant in univariate but not in multivariate analyses .
Surprisingly, we found that de novo MBC (compared to metachronous metastatic disease) was associated with a better outcome in univariate analysis. A trend favoring de novo MBC was also found in a study published by Lobbezoo et al., with a median OS of 21.1 months for patients with metachronous metastatic progression compared with 29.4 months for patients with de novo MBC (p = 0.14) . In this study, the prognostic impact of the MFI was also investigated: de novo MBC patients had a better outcome than patients with a MFI < 24 months, but no difference in OS was reported when comparing de novo MBC patients with patients who had a MFI > 24 months, advocating for the identification of this short MFI group as a highly aggressive, resistant, tumor subset . These results are somewhat discordant with numerous other studies that have shown that patients with a MFI < 24 months had a poorer outcome compared with patients with a MFI ≥ 24 months [4, 7, 8, 11]. However, in these studies, patients with a synchronous metastatic disease were classified into the MFI < 24 months group, possibly diluting the positive prognostic impact of synchronous metastases within the short MFI group. In our study, we found no difference in OS among patients according to the MFI (p = 0.464).
The number of previous metastatic CT lines was also an independent prognostic determinant in our study. Patients with no previous CT line had a better outcome compared to those having received one or two CT line(s), or >2 lines, which is concordant with previously published data .
Our study is based on a well-characterized series of MBC patients and brings new data on additional tumors markers and their prognostic value. Nevertheless, it presents some limitations. Due to its retrospective nature, we could not avoid having some missing data, in particular for classical biological parameters such as LDH or albumin. Moreover, patients in our study were identified for the purposes of a case-control study in MBC patients with BM, therefore there is in our series an over-representation of these patients, and, as a consequence, of patients with a HER2-positive tumor. Indeed, 35 % of patients had BM, compared to a few percent in other studies [4, 5]. This result causes an obvious bias regarding the survival analyses. The median OS in our study was indeed lower than in previous works: 16.2 months compared with 23.1 months and 21.8 months in the studies published by Largillier et al. and Lobbezoo et al., respectively [4, 5]. This difference can also be explained by the fact that patients in our series had a more advanced disease. Indeed, 30.4 % of patients had an advanced metastatic disease (>2 previous CT lines) while patients in the Lobbezoo et al. study were included at the diagnosis of the metastatic disease . As regards the HER2 tumor status, a high proportion (47.6 %) of patients had a HER2-positive tumor, whereas this proportion is usually around 20 % in various studies [4, 5]. Therefore, our population may not have been entirely representative of a routine MBC population. However, the analysis on the 162 MBC patients without BM confirmed that high serum CA 15-3 (p < 0.001), HER2 ECD (p < 0.001) and S100ß (p < 0.001) levels were associated with poor survival.
In conclusion, serum CA 15-3, HER2 ECD and S100ß levels could represent useful independent prognostic factors in MBC. A validation of these results in an independent set of MBC samples is necessary to confirm these findings. Of particular interest is the independent prognostic value of serum HER2 ECD level, independently of the tumor HER2 status, possibly linked to metastatic tumor heterogeneity or presence of HER2 ECD negative/HER2 intracellular activated tumors.
BM, brain metastases; CA 15-3, cancer antigen 15-2; CEA, carcinoembryonic antigen; CI, confidence interval; CISH, chromogenic in situ hybridization; CT, chemotherapy; EBC, early breast cancer; ECD, extra-cellular domain; ER, estrogen receptors; FISH, fluorescence in situ hybridization; HER2, human epidermal growth factor 2; HR, hormone-receptors; IHC, immunohistochemistry; LDH, lactate dehydrogenase; MBC, metastatic breast cancer; MFI, metastatic-free interval; MMP-9, matrix metalloproteinase 9; NSE, neuron specific enolase; OS, overall survival; PR, progesterone receptors
Chia SK, Speers CH, D'yachkova Y, Kang A, Malfair-Taylor S, Barnett J, et al. The impact of new chemotherapeutic and hormone agents on survival in a population-based cohort of women with metastatic breast cancer. Cancer. 2007;110(5):973–9.
Mosconi P, Colozza M, De Laurentiis M, De Placido S, Maltoni M. Survival, quality of life and breast cancer. Ann Oncol. 2001;12 Suppl 3:S15–9.
Andreopoulou E, Hortobagyi GN. Prognostic factors in metastatic breast cancer: successes and challenges toward individualized therapy. J Clin Oncol. 2008;26(22):3660–2.
Largillier R, Ferrero JM, Doyen J, Barriere J, Namer M, Mari V, et al. Prognostic factors in 1,038 women with metastatic breast cancer. Ann Oncol. 2008;19(12):2012–9.
Lobbezoo DJ, van Kampen RJ, Voogd AC, Dercksen MW, van den Berkmortel F, Smilde TJ, et al. Prognosis of metastatic breast cancer subtypes: the hormone receptor/HER2-positive subtype is associated with the most favorable outcome. Breast Cancer Res Treat. 2013;141(3):507–14.
Solomayer EF, Diel IJ, Meyberg GC, Gollan C, Bastert G. Metastatic breast cancer: clinical course, prognosis and therapy related to the first site of metastasis. Breast Cancer Res Treat. 2000;59(3):271.
Beslija S, Bonneterre J, Burstein HJ, Cocquyt V, Gnant M, Heinemann V, et al. Third consensus on medical treatment of metastatic breast cancer. Ann Oncol. 2009;20(11):1771–5.
Regierer AC, Wolters R, Ufen MP, Weigel A, Novopashenny I, Köhne CH, et al. An internally and externally validated prognostic score for metastatic breast cancer: analysis of 2269 patients. Ann Oncol. 2014;25(3):633–8.
Kennecke H, Yerushalmi R, Woods R, Cheang MC, Voduc D, Speers CH, et al. Metastatic behavior of breast cancer subtypes. J Clin Oncol. 2010;28(20):3271–7.
Dawood S, Broglio K, Buzdar AU, Hortobagyi GN, Giordano SH. Prognosis of women with metastatic breast cancer by HER2 status and trastuzumab treatment: an institutional-based review. J Clin Oncol. 2010;28(1):92–8.
Yamamoto N, Watanabe T, Katsumata N, Omuro Y, Ando M, Fukuda H, et al. Construction and validation of a practical prognostic index for patients with metastatic breast cancer. J Clin Oncol. 1998;16(7):2401–8.
Wyld L, Gutteridge E, Pinder SE, James JJ, Chan SY, Cheung KL et al. Prognostic factors for patients with hepatic metastases from breast cancer. Br J Cancer. 2003;89 (2):284–90.
Brown JE, Cook RJ, Lipton A, Coleman RE. Serum lactate dehydrogenase is prognostic for survival in patients with bone metastases from breast cancer: a retrospective analysis in bisphosphonate-treated patients. Clin Cancer Res. 2012;18:6348–55.
Bidard FC, Hajage D, Bachelot T, Delaloge S, Brain E, Campone M, et al. Assessment of circulating tumor cells and serum markers for progression-free survival prediction in metastatic breast cancer: a prospective observational study. Breast Cancer Res. 2012;14(1):R29.
Lee JS, Park S, Park JM, Cho JH, Kim SI, Park BW. Elevated levels of serum tumor markers CA 15-3 and CEA are prognostic factors for diagnosis of metastatic breast cancers. Breast Cancer Res Treat. 2013;141(3):477–84.
Shao Y, Sun X, He Y, Liu C, Liu H. Elevated Levels of Serum Tumor Markers CEA and CA15-3 Are Prognostic Parameters for Different Molecular Subtypes of Breast Cancer. PLoS One. 2015;10(7):e0133830.
Tsé C, Gauchez AS, Jacot W, Lamy PJ. HER2 shedding and serum HER2 extracellular domain: biology and clinical utility in breast cancer. Cancer Treat Rev. 2012;38(2):133–42.
Baselga J, Cortés J, Im SA, Clark E, Ross G, Kiermaier A, et al. Biomarker analyses in CLEOPATRA: a phase III, placebo-controlled study of pertuzumab in human epidermal growth factor receptor 2-positive, first-line metastatic breast cancer. J Clin Oncol. 2014;32(33):3753–61.
Shao X, Wang X, Xu X, Feng J, Han M, Zhang H, et al. Outcome prediction values of soluble human epidermal growth factor receptor-2 extracellular domain in metastatic breast cancer. Int J Clin Exp Pathol. 2014;7(3):1108–13.
Lamy PJ, Grenier J, Kramar A, Pujol JL. Pro-gastrin-releasing peptide, neuron specific enolase and chromogranin A as serum markers of small cell lung cancer. Lung Cancer. 2000;29(3):197–203.
Ahmad O, Wardlaw J, Whiteley WN. Correlation of levels of neuronal and glial markers with radiological measures of infarct volume in ischaemic stroke: a systematic review. Cerebrovasc Dis. 2012;33:47–54.
Forner SA, Takada LT, Bettcher BM, Lobach IV, Tartaglia MC, Torres-Chae C, et al. Comparing CSF biomarkers and brain MRI in the diagnosis of sporadic Creutzfeldt-Jakob disease. Neurol Clin Pract. 2015;5(2):116–25.
Stamenkovic I. Matrix metalloproteinases in tumor invasion and metastasis. Semin Cancer Biol. 2000;10:415–33.
Provatopoulou X, Gounaris A, Kalogera E, Zagouri F, Flessas I, Goussetis E, et al. Circulating levels of matrix metalloproteinase-9 (MMP-9), neutrophil gelatinase-associated lipocalin (NGAL) and their complex MMP-9/NGAL in breast cancer disease. BMC Cancer. 2009;9:390.
Sung H, Choi JY, Lee SA, Lee KM, Han S, Jeon S, et al. The association between the preoperative serum levels of lipocalin-2 and matrix metalloproteinase-9 (MMP-9) and prognosis of breast cancer. BMC Cancer. 2012;12:193.
Tang D, Piao Y, Zhao S, Mu X, Li S, Ma W, et al. Expression and correlation of matrix metalloproteinase-9 and heparanase in patients with breast cancer. Med Oncol. 2014;31(7):26.
Shan YQ, Ying RC, Zhou CH, Zhu AK, Ye J, Zhu W, et al. MMP-9 is increased in the pathogenesis of gastric cancer by the mediation of HER2. Cancer Gene Ther. 2015;22(3):101–7.
Donato R, Cannon BR, Sorci G, Riuzzi F, Hsu K, Weber DJ, et al. Functions of S100 proteins. Curr Mol Med. 2013;13(1):24–57.
Weide B, Richter S, Büttner P, Leiter U, Forschner A, Bauer J, et al. Serum S100B, lactate dehydrogenase and brain metastasis are prognostic factors in patients with distant melanoma metastasis and systemic therapy. PLoS One. 2013;8(11):e81624.
Romner B, Ingebrigtsen T, Kongstad P, Børgesen SE. Traumatic brain damage : serum S-100 protein measurements related to neuroradiological findings. J Neurotrauma. 2000;17(8):641–7.
Miller KD, Weathers T, Haney LG, Timmerman R, Dickler M, Shen J, et al. Occult central nervous system involvement in patients with metastatic breast cancer: prevalence, predictive factors and impact on overall survival. Ann Oncol. 2003;14(7):1072–7.
Kaplan EL, Meier P. Nonparametric estimation from incomplete observations. J Am Stat Assoc. 1958;53:457–81.
Bechmann T, Madsen JS, Brandslund I, Lund ED, Ormstrup T, Jakobsen EH, et al. Predicting brain metastases of breast cancer based on serum S100B and serum HER2. Oncol Lett. 2013;6:1265–70.
Pujol JL, Boher JM, Grenier J, Quantin X. Cyfra 21-1, neuron specific enolase and prognosis of non-small cell lung cancer: prospective study in 621 patients. Lung Cancer. 2001;31(2–3):221–31.
Wu ZS, Wu Q, Yang JH, Wang HQ, Ding XD, Yang F, et al. Prognostic significance of MMP-9 and TIMP-1 serum and tissue expression in breast cancer. Int J Cancer. 2008;122(9):2050–6.
Lee CK, Davies L, Gebski VJ, Lord SJ, Di Leo A, Johnston S, et al. Serum Human Epidermal Growth Factor 2 Extracellular Domain as a Predictive Biomarker for Lapatinib Treatment Efficacy in Patients With Advanced Breast Cancer. J Clin Oncol. 2016;34(9):936–44.
Hanna W, Nofech-Mozes S, Kahn HJ. Intratumoral heterogeneity of HER2/neu in breast cancer-a rare event. Breast J. 2007;13(2):122–9.
Jacot W, Pouderoux S, Bibeau F, Leaha C, Chateau MC, Chapelle A, et al. Hormone receptors and HER-2 changes during breast cancer progression: clinical implications. Bull Cancer. 2011;98(9):1059–70.
Houssami N, Macaskill P, Balleine RL, Bilous M, Pegram MD. HER2 discordance between primary breast cancer and its paired metastasis: tumor biology or test artefact? Insights through meta-analysis. Breast Cancer Res Treat. 2011;129(3):659–74.
Aurilio G, Disalvatore D, Pruneri G, Bagnardi V, Viale G, Curigliano G, et al. A meta-analysis of oestrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 discordance between primary breast cancer and metastases. Eur J Cancer. 2014;50(2):277–89.
Panis C, Pizzatti L, Corrêa S, Binato R, Lemos GF, Herrera AC, et al. The positive is inside the negative: HER2-negative tumors can express the HER2 intracellular domain and present a HER2-positive phenotype. Cancer Lett. 2015;357(1):186–95.
McIlroy M, McCartan D, Early S, O Gaora P, Pennington S, Hill AD, et al. Interaction of developmental transcription factor HOXC11 with steroid receptor coactivator SRC-1 mediates resistance to endocrine therapy in breast cancer [corrected]. Cancer Res. 2010;70(4):1585–94.
Korhonen T, Kuukasjärvi T, Huhtala H, Alarmo EL, Holli K, Kallioniemi A, et al. The impact of lobular and ductal breast cancer histology on the metastatic behavior and long term survival of breast cancer patients. Breast. 2013;22(6):1119–24.
Bertaut A, Mounier M, Desmoulins I, Guiu S, Beltjens F, Darut-Jouve A, et al. Stage IV breast cancer: a population-based study about prognostic factors according to HER2 and HR status. Eur J Cancer Care. 2015. doi: 10.1111/ecc.12306.
Lobbezoo DJ, van Kampen RJ, Voogd AC, Dercksen MW, van den Berkmortel F, Smilde TJ, et al. Prognosis of metastatic breast cancer: are there differences between patients with de novo and recurrent metastatic breast cancer? Br J Cancer. 2015;112(9):1445–51.
The authors would like to acknowledge the GEFLUC (Groupement des Entreprises Françaises dans la Lutte contre le Cancer) Languedoc-Roussillon and the SIRIC Montpellier Cancer for financial support (Grant “INCa-DGOS-Inserm 6045”). The authors wish to acknowledge Dr. Hélène de Forges for editing the manuscript.
This work was conducted with the financial support, as grants, of the GEFLUC (Groupement des Entreprises Françaises dans la Lutte contre le Cancer) Languedoc-Roussillon, and of the SIRIC Montpellier Cancer (grant « INCa-DGOS-Inserm 6045 »). The GEFLUC Languedoc-Roussillon or the SIRIC Montpellier Cancer did not participate in the design of the study, the analysis and interpretation of the results and in writing the manuscript.
Availability of data and materials
Our data set will be available on request after we have completed all the analyses and published all results.
AD conceived the study, identified the patients, collected medical information, analyzed the results and drafted the manuscript. PJL carried out the analyses for serum HER2 ECD, NSE and S100ß, participated in analyzing the results, and helped drafting the manuscript. EC carried out the analyses for serum MMP-9, participated in analyzing the results, and helped drafting the manuscript. ALB participated in identifying patients, collecting medical information and helped drafting the manuscript. NF and GR participated in analyzing the results and drafting the manuscript. ST participated in the design of the study and performed the statistical analyses. WJ conceived the study, analyzed the results and helped drafting the manuscript. All authors have read and approved the final manuscript.
The authors do not with to include any information about the co-authors.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
This study was reviewed and approved by the Montpellier Cancer Institute Institutional Review Board (ID number ICM-URC-2014/73). Considering the retrospective, non-interventional nature of this study, no specific consent was deemed necessary by the clinical research review board of the Montpellier Cancer Institute.
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Darlix, A., Lamy, P., Lopez-Crapez, E. et al. Serum HER2 extra-cellular domain, S100ß and CA 15-3 levels are independent prognostic factors in metastatic breast cancer patients. BMC Cancer 16, 428 (2016). https://doi.org/10.1186/s12885-016-2448-1
- Breast cancer
- Tumor markers
- Tumor heterogeneity
- Serum HER2
- Neuron-specific enolase
- Matrix metalloproteinase 9