S100β as a serum marker in endocrine resistant breast cancer
- Sara Charmsaz†1,
- Éamon Hughes†1,
- Fiona T. Bane1,
- Paul Tibbitts2,
- Marie McIlroy1,
- Christopher Byrne1,
- Sinéad Cocchiglia1,
- Jean McBryan1,
- Bryan T. Hennessy3,
- Róisín M. Dwyer4,
- Michael J. Kerin4,
- Arnold D. Hill2 and
- Leonie S. Young1Email author
© The Author(s). 2017
Received: 14 November 2016
Accepted: 14 March 2017
Published: 12 April 2017
Endocrine therapy is standard treatment for estrogen receptor (ER)-positive breast cancer. However, its efficacy is limited by intrinsic and acquired resistance. Here the potential of S100β as a biomarker and inhibition of its signaling network as a therapeutic strategy in endocrine treated patients was investigated.
The expression of S100β in tissue and serum was assessed by immunohistochemistry and an enzyme-linked immunosorbent assay, respectively. The S100β signaling network was investigated in cell line models of endocrine resistance by western blot, PCR, immunoprecipitation, and chromatin-immunoprecipitation. Endocrine resistant xenografts and tumor explants from patients with resistant tumors were treated with endocrine therapy in the presence and absence of the p-Src kinase inhibitor, dasatinib.
Tissue and serum levels of S100β were found to predict poor disease-free survival in endocrine-treated patients (n = 509, HR 2.32, 95% CI is 1.58–3.40, p < 0.0001 and n = 187, HR 4.009, 95% CI is 1.66–9.68, p = 0.002, respectively). Moreover, elevated levels of serum S100β detected during routine surveillance over the patient treatment period significantly associated with subsequent clinically confirmed disease recurrence (p = 0.019). In vivo studies demonstrated that endocrine treatment induced transcriptional regulation of S100β which was successfully disrupted with tyrosine kinase inhibition. In endocrine resistant xenografts and tumor explants from patients with endocrine resistant breast cancer, combined endocrine and dasatinib treatment reduced tumor proliferation and down-regulated S100β protein expression in comparison to endocrine treatment alone.
S100β has potential as a new surveillance tool for patients with ER-positive breast cancer to monitor ongoing response to endocrine therapy. Moreover, endocrine resistant breast cancer patients with elevated S100β may benefit from combined endocrine and tyrosine-kinase inhibitor treatment.
ClinicalTrials.gov, NCT01840293). Registered on 23 April 2013. Retrospectively registered.
KeywordsBiomarker Endocrine resistance Breast cancer S100β Estrogen receptor
Endocrine therapies, both tamoxifen and aromatase inhibitors (AIs), successfully treat ER-positive breast cancer. A small but significant number of patients, however, will acquire resistance and develop disease recurrence . Clinically, undetected resistant tumors continue to be exposed to adjuvant endocrine therapy, which can contribute to tumor progression and development of metastatic disease . Despite concentrated efforts to discover robust biomarkers of endocrine sensitivity, no clinical assay to monitor real-time patient response to endocrine treatment has been developed. Understanding tumor adaptation to endocrine therapy has the potential to uncover new biomarkers of drug sensitivity and novel therapeutic targets to detect and treat endocrine resistant metastatic disease .
At a cellular level, increased tumor plasticity occurs in endocrine resistant breast cancer compared to sensitive tumors. Studies from our group and others suggest that enhanced tyrosine kinase signaling, re-expression of homeobox (HOX) developmental proteins along with activation of steroid receptor co-activator-1 (SRC-1) proteins cooperate to regulate breast cancer tumor adaptability [3–5]. HOXC11 and SRC-1 transcriptionally regulate the calcium-binding protein S100β, and overexpression of SRC-1 together with HOXC11 results in increased expression of S100β [3, 4, 6]. S100β is a member of the S100 family of calcium-binding proteins, several of which, including S100A7 and a truncated form of S100P, have been associated with progressive breast cancer [7–9]. S100β is detected at low levels in human serum; however, elevated levels of serum S100β have been reported following injuries to the central nervous system and in different types of tumors including melanoma and breast cancer [3, 10–12].
Endocrine resistance is marked by a shift from steroid-dependent to tyrosine kinase-dependent signaling . Src is a non-receptor tyrosine kinase which has roles in tumor progression, epithelial-to-mesenchymal transition, angiogenesis, and the development of metastasis . Interaction of SRC-1 and Src kinase has been described in endometrial cancer, suggesting the possibility of targeting SRC-1/HOXC11 interaction through inhibition of Src kinase activity . Clinically, one of the most widely used Src kinase inhibitors is dasatinib, which is a small molecule inhibitor that targets kinase proteins including Src, BCR-ABL, cKit, and PDGFRβ . Results from clinical trials evaluating dasatinib in patients with advanced breast cancer demonstrated efficacy in a subset of patients and suggests that patient stratification would significantly enhance the benefit of Src kinase inhibition [17, 18]. However, to date no gene signature has defined tumors clinically sensitive to dasatinib as a single agent .
Here we examine the prognostic potential of serum S100β as a monitoring tool for tumor response in patients with breast cancer on endocrine treatment. We investigate the mechanism of S100β production in endocrine resistant breast cancer and demonstrate that inhibition of the Src kinase pathway with the kinase inhibitor dasatinib can reduce tumor progression in vivo.
All clinical materials and, where relevant, informed consent were collected following ethical approval from Beaumont Hospital Medical Research Ethics Committee, St. Vincent’s University Hospital Medical Research Ethics Committee, and Galway University Hospital Clinical Research Ethics Committee. This study was designed in accordance with the guidelines concerning tumor marker studies .
All mouse experiments were performed in accordance with the European Communities Council Directive (86/609/EEC) and were reviewed and approved by Research Ethics Committee under license from the Department of Health.
Patients and study design
For prognostic tissue studies, formalin-fixed, paraffin-embedded (FFPE) breast tumor samples (n = 1079) were obtained from archival cases at St. Vincent’s University Hospital and Beaumont Hospital, Dublin, Ireland from 1987–1999 and from 2004–2008, respectively.
For prognostic serum studies, blood samples were collected from patients with breast cancer attending the National University Hospital Galway and Beaumont Hospital from 1993–2006 and 2008–2014, respectively, prior to initial surgery for the resection of primary breast tumor (n = 346).
For monitoring serum studies, pre-operative and serial post-operative samples were collected from breast cancer patients enrolled in a dual-center Cancer Trials Ireland-led trial (ICORG 09/07;NCT01840293/(ClinicalTrials.gov)) from 2008–2014 (n = 181).
Breast cancer tissue samples were formalin-fixed and paraffin embedded (FFPE) and a tissue microarray (TMA) was constructed as previously described . Serum samples were collected from age-matched healthy volunteers (n = 10, median age 63.3 years). Serum was prepared by centrifugation (400 g for 10 min) and stored within 3 h of collection at –80 °C.
Breast cancer ex vivo studies were carried out using fresh tumor samples. Samples were cultured on gelatin sponges (Spongostan, Johnson & Johnson Medical, Gargrave, UK) in Minimum Essential Medium (MEM)/10% fetal calf serum, l‐glutamine, 10–6 M letrozole with or without 1 μM dasatinib  and incubated for 5 days. Tumors were formalin-fixed and embedded.
Assessment of tissue S100β
TMAs were immunostained using monoclonal mouse anti-S100β antibody (AB-14849, Abcam, Cambridge, UK) specific for S100β alpha-beta heterodimer and beta-beta homodimer. TMAs were scored using the Allred system as previously described . A score of ≥3 was defined as positive. Two independent observers, without knowledge of prognostic factors, scored the slides. The kappa score for the agreement between the two independent reviewers was 0.935.
Clinical assay for serum S100β
Serum S100β levels were determined using a commercial enzyme-linked immunosorbent assay (ELISA) kit (364701, Diasorin, Stillwater, MN, USA) according to the manufacturer’s instructions. The precision of the assay is >85%, and the detection limit is 0.03 μg/L.
S100β cut-off levels were determined in a training set comprising ten breast cancer patients with no relapse, ten patients who went on to have confirmed disease recurrence, and ten aged matched healthy controls. The upper limit of normal was calculated (mean + (t0.975,n-1 x √(n+1/n) x SD)), and 0.13 μg/L was taken as the cut-off (Additional file 1: Figure S1); outliers were calculated as √0.13 μg/L. A validation study was carried out in 76 patients with breast cancer and 59 ER-positive breast cancer patients; S100β serum status was analyzed in relation to patient pathologic characteristics and disease recurrence (Additional file 2: Table S1).
The endocrine sensitive cell line (MCF-7) was obtained from the American Type Culture Collection (ATCC), and the endocrine resistant cell line (LY2) was a gift from Robert Clarke (Georgetown University, Washington, DC, USA) . Cells were maintained as previously described . AI resistant LetR cells and AI sensitive ARO cells were created as described previously . Cell lines were tested (Source Biosciences, Life Biosciences, Nottingham, UK) for authenticity in accordance with ATCC guidelines.
Mouse experiments were performed as previously described . Endocrine sensitive (MCF-7) and endocrine resistant (LY2) xenograft models were established. Mice were supplemented with estrogen (0.25 mg/pellet, 60-day release) and treated with tamoxifen (5 mg/pellet, 60-day release; Innovative Research of America, Sarasota, FL, USA) and dasatinib (50 mg/kg/day, oral gavage; Bristol-Myers Squibb, New York, NY, USA) as indicated. Tumor growth was recorded twice weekly by caliper measurements, and tumors were imaged using an IVIS whole body imaging system (Xenogen Corp, Alameda, CA, USA) to detect luciferase activity of the LY2-luc cells. Metastasis was detected by shielding the primary tumor, and quantitative measurements of metastatic deposits were calculated using Living Image analysis software (Xenogen). Formation of metastasis to the organs was also confirmed by immunohistochemical analysis of the lung, liver, and bone. Blood was collected at 2-week intervals by facial vein bleeding to monitor S100β levels in serum.
LY2 cells were treated with tamoxifen or tamoxifen and dasatinib. Chromatin immunoprecipitation (ChIP) was performed as previously described  using mouse anti-HOXC11 6 μg ((15-288-22000 F, Genway Biotech, San Diego, CA, USA)) and mouse anti-SRC-1 12 μg (F10, Santa Cruz Biotechnology, Dallas, TX, USA). S100β promoter-specific primers were used to amplify the DNA forward: TGGCAGAGGAGAGAAGCTC and reverse: TTCCTGAGCGTCCTCTTGG.
Protein was harvested from breast cancer cells, electrophoresed and immunoblotted with mouse anti-S100β (AB-14849, Abcam, 1 in 250), anti-ERα (sc-8002, Santa Cruz Biotechnology, 1 in 1000), anti-PR (sc-538, Santa Cruz Biotechnology, 1 in 1000), anti-p-Src 416 (2101S, Cell Signaling Technology, Danvers, MA, USA, 1 in 1000), anti-c-Src (2109S, Cell Signaling, 1 in 1000), anti-SRC-1 (sc-8995, Santa Cruz Biotechnology, 1 in 150), anti-HOXC11 (15-288-22000 F, Genway Biotech, 1 in 1000), and anti-β-actin (A1978, Sigma Aldrich, St. Louis, MO, USA, 1 in 7500) as described previously .
Statistical analysis was performed using Prism (GraphPad, San Diego, CA, USA) and Stata software (StataCorp, College Station, TX, USA). Stata software was used to perform receiver operating characteristic (ROC) analyses. A 95% confidence interval (CI) was used to determine significance. Survival times between groups were compared using the Wilcoxon test adjusted for censored values. Multivariate analysis for S100β was carried out using Cox proportional hazards, modeled with node, grade, and HER2 status using the Breslow method for ties. Fisher’s exact test for two by two tables was used for comparison of categorical data. A two-sided Student’s t test was used for continuous variables. Values of p ≤ 0.05 were considered significant.
Elevated levels of S100β associate with poor disease-free survival in patients with endocrine-treated breast cancer
Associations of S100β expression in ER-positive endocrine-treated breast cancer tissue (n = 536) and serum (n = 187) with clinicopathologic variables and disease recurrence using Fisher’s exact test. Associations between disease-free survival times and individual variables using Wilcoxon. Median age for patient TMA and serum samples was 56.12 and 51.15 years respectively, and median follow-up time was 76.84 and 66.1 months respectively
Patient serum samples
S100β + ve
S100β ≥0.13 μg/L
S100β <0.13 μg/L
≥ Grade 3
< Grade 3
Matched pre-operative and post-operative (<12 months) serum levels were measured in 55 patients. Surgical resection of the patient primary tumor returned elevated levels of serum S100β to normal (6 individual patients with elevated S100β, p = 0.023) (Fig. 2c, Additional file 2: Table S2). These data suggest that elevated levels of S100β can mark the presence of tumor burden in breast cancer patients and have the potential to predict disease progression in a subset of patients on endocrine treatment.
Metastasis forms in the presence of tamoxifen in resistant breast cancer in vivo which is marked by S100β
As we have previously reported, S100β is an output of a network activated by prolonged exposure to endocrine treatment ; therefore, it has the potential to act as a biomarker for the emergence of metastatic disease. Elevated S100β serum levels at week 7 post-implantation coincided with increased tumor burden and manifestation of distant micrometastasis (two-sided Student’s t test, p = 0.0012) (Fig. 3d). These observations were confirmed at the level of the tumor tissue where expression of S100β, though undetectable in the lung, was highly expressed in the liver and bone (Fig. 3c).
Elevated S100β protein during the treatment period marks disease recurrence in endocrine-treated patients
In matched primary and metastatic tumors from patients who had recurred on endocrine therapy (n = 4), S100β was detected in all of the metastatic tumors even if it was absent from the primary tumor tissue (Fig. 3e and Additional file 2: Table S3).
Associations of clinicopathologic variables and disease outcome in ER-positive endocrine-treated breast cancer patients (n = 118) with S100β using Fisher’s exact test. Median age was 51.22 years , median follow-up time was 59.71 months and monitoring blood tests were taken >12 months post-operation (median 24.32 months)
S100β ≥0.13 μg/Ln = 10 (8.47%)
S100β <0.13 μg/Ln = 108 (91.53%)
< 20 mm
(r = +0.245)
Patients with a positive S100β status who failed endocrine treatment had an enhanced risk of developing distant metastasis (79%) relative to local disease recurrence (21%). Sites of distant recurrence recorded included the bone, lung, and liver (Additional file 1: Figure S2).
Endocrine treatment can induce transcriptional regulation of S100β which is disrupted by tyrosine kinase inhibition
Elevated levels of p-Src driven by endocrine treatment and growth factors were reduced by the specific p-Src inhibitor PP2 and the Src-ABL inhibitor dasatinib (Additional file 1: Figure S3B). Treatment driven HOXC11 interactions with its coactivator SRC-1 and HOXC11/SRC-1 recruitment to the S100β promoter were disrupted by p-Src kinase inhibition (Fig. 4b, Additional file 1: Figure S3C). Furthermore, tamoxifen-induced transcript and protein levels of S100β were inhibited in the presence of PP2 and dasatinib in the treatment resistant LY2 cells (Fig. 4c, Additional file 1: Figure S3D). Taken together, these molecular studies provided us with a model of S100β production in endocrine resistant breast cancer where endocrine treatment can induce rapid tyrosine kinase signaling to induce HOXC11/SRC-1 transcriptional activation of S100β. This signaling network can be disrupted in the presence of the p-Src kinase inhibitors PP2 or dasatinib (Additional file 1: Figure S3D).
Tyrosine kinase signaling inhibition can repress the production of S100β and impede tumor progression in endocrine resistant breast cancer
In vivo p-Src inhibition reduced the endocrine-regulated signaling network. Dasatinib-treated mice maintained ERα status and reduced primary tumor expression of p-Src kinase, the co-activator SRC-1, the transcription factor HOXC11, and their target gene S100β (Fig. 5b, Additional file 1: Figure S5).
The ability of p-Src inhibition to affect endocrine therapy-induced metastatic progression was investigated. In cell line models of endocrine resistance and metastatic disease, dasatinib significantly reduced cell migration (Additional file 1: Figure S6A). Confirming a role for the adaptive signaling network in the migratory process, forced expression of the S100β transcriptional machinery (SRC-1 and HOXC11) significantly induced migration in endocrine sensitive cells, which was abolished with dasatinib treatment (Additional file 1: Figure S6B and C).
Consistent with the ability of S100β to mark the existence of disease progression in our patient population and in our xenograft model, treatment with dasatinib reduced circulating S100β levels in the xenografts compared to endocrine treatment alone (Fig. 5c). Furthermore, in breast cancer patients with clinically confirmed disease recurrence on AI therapy, ex vivo treatment of the resistant tumors with dasatinib in combination with letrozole maintained ERα expression, reduced Ki67, and switched off S100β expression in comparison to letrozole treatment alone (n = 2) (Fig. 5d and Additional file 2: Table S4). Together these data establish S100β as an output of the endocrine resistance network and support its use as a serum marker of the emergence of endocrine-related metastatic disease in breast cancer patients.
Early diagnosis of treatment resistant metastatic tumors will have a significant impact on the management of ER-positive patients who have failed endocrine treatment. To date gene signature assays of the primary tumor, such as EndoPredict and the PAM50 assay, can inform adjuvant treatment strategies [27–29]. However, these prognostic assays may have limited capability to take into consideration the ability of the tumor to adapt to its therapeutic environment or to monitor real-time patient treatment response.
The importance of tumor molecular heterogeneity in determining response to targeted therapy is now firmly established . Furthermore, the ability of a subset of breast tumors to alter their molecular profile between primary and recurrent tumors is the subject of intense investigation [26, 31]. This tumor adaptability is controlled, at least in part, through transcription factors including HOX family members responding to the therapeutic environment [3, 32, 33].
Here we describe a mechanistically based serum biomarker, S100β, which is an output of an adaptability signaling network known to be important in the development of endocrine resistance . Both tissue and serum S100β protein can predict disease-free survival in ER-positive endocrine-treated patients. No association was observed between either tissue or serum S100β and classic clinicopathological parameters, with the exception of a strong association between S100β serum and PR, which is consistent with the proposed role for PR and enhanced kinase signaling .
The ELISA-based S100β assay has a sensitivity of 27%, which is reflective of its ability to identify a subset of patients who subsequently have disease relapse. However, the specificity of the assay is high at 93%, indicating that the assay is accurate. The clinical value of this assay is that it can successfully detect patients who will not relapse . Moreover, in this study monitoring S100β serum levels during the treatment period identified patients with subsequent clinical and pathological disease recurrence with a specificity of 95% and a sensitivity of 23%. These serum studies are somewhat limited due to the relatively low number of patients, which reflects the challenges in collecting serial serum samples from endocrine-treated breast cancer patients. The data presented in this study suggest that a large multicenter clinical trial to evaluate the efficacy of serum S100β for routine surveillance of ER-positive patients during their endocrine treatment period is now warranted.
Known growth factor/endocrine signaling crosstalk in resistant breast cancer makes targeting kinase pathways an attractive management strategy . The data presented in this study suggest that a select number of endocrine resistant patients would benefit from kinase inhibition. In endocrine resistant cell lines and in vivo models, endocrine treatment activated kinase-dependent adaptability signaling networks and drove tumor cell growth and migration. Inhibition of kinase signaling with the pan-Src-ABL inhibitor dasatinib turned off the adaptability network, restored endocrine sensitivity, and retarded disease progression. Of note, reduced tumor aggression was marked by a decrease in S100β protein in both in vivo endocrine resistant models and in ex vivo tumors from patients with endocrine resistant breast cancer. Therefore, breast cancer patients with elevated S100β may benefit from combined endocrine and kinase inhibitor treatment.
In conclusion, identification of the adaptability network with S100β has the potential to provide new information regarding the response of the patient tumor to ongoing endocrine therapy and act as a companion diagnostic to increase the efficacy of combined tyrosine kinase inhibitor treatment.
Enzyme-linked immunosorbent assay
Formalin-fixed, paraffin embedded
Polymerase chain reaction
Steroid receptor co-activator-1
We kindly acknowledge the funding support from Science Foundation Ireland, the Health Research Board of Ireland, Breast Cancer Campaign, and the Irish Cancer Society.
This work was supported by funding from Science Foundation Ireland (08-IN1-B1853 and 12/1A/1294), the Health Research Board of Ireland (HRB/POR/2012/101), and Breast Cancer Campaign (2013MaySP022). This material is also based upon works supported by the Irish Cancer Society Collaborative Cancer Research Centre grant, CCRC13GAL.
Availability of data and materials
All data generated and analyzed during this study are included in this published article and its Additional files. The datasets analyzed during the current study are available from the corresponding author on request.
SC evaluated the data, performed analyses, and contributed to writing the manuscript. EH performed and designed the experiments and contributed to writing the manuscript. FB performed the ELISA experiments. PT contributed to the statistical analysis. MM contributed to the study design. CB and SCo performed xenograft studies. JMB performed the explant study. RD, MK, BH, and ADH participated in the study design and provided patient material. LY conceived of the study, was involved in the evaluation and interpretation of data, and wrote the manuscript. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
Informed consent was collected where relevant following ethical approval from Beaumont Hospital Medical Research Ethics Committee, St. Vincent’s University Hospital Medical Research Ethics Committee, and Galway University Hospital Clinical Research Ethics Committee. Data presented in this manuscript were in part collected from the clinical trial “Breast Cancer Proteomics and Molecular Heterogeneity,” ClinicalTrials.gov identifier: NCT01840293.
All mouse experiments were performed in accordance with the European Communities Council Directive (86/609/EEC) and were reviewed and approved by Research Ethics Committee under license from the Department of Health.
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