Main

The zinc-dependent peptidase (metalloproteinase)—CD10, is commonly expressed in bone marrow lymphoid stem cells, pro-B lymphoblasts, mature neutrophils, various lymphoma subtypes, renal cell carcinoma and endometrial stromal sarcoma cells. CD10-positive cells have been reported in the stroma of prostate,1 breast,2, 3 colorectal,4 and lung carcinomas.5, 6 CD10 positivity has also been reported in stromal myoepithelial cells from normal breast tissue and benign myoepithelial tumors.3, 7, 8, 9 Several reports indicated that stromal CD10 expression is associated with biological aggressiveness in various epithelial malignancies.2, 5, 10, 11 In gastric carcinoma CD10-positive stroma correlates with vascular invasion and metastasis.10 Stromal CD10 is expressed with a higher frequency in malignant, as opposed to borderline and benign phyllodes tumors.11 To date, only one study has examined the expression of CD10 in stromal cells around the infiltrating tumor cells in invasive breast carcinomas and showed its association with a worse prognosis.2

The aims of this study were: (1) to estimate the frequency of expression of stromal CD10 expression in invasive breast carcinomas and ductal carcinomas in situ (DCIS); (2) to assess prognostic significance of stromal CD10 expression in univariate and multivariate analysis using long-term follow-up data (more than 15 years); (3) to examine the association of stromal CD10 expression with the clinicopathological parameters.

Materials and methods

Tissue Microarrays, Grading, Immunostaining Scoring and Data Processing

Tissue microarrays containing 438 cases of invasive breast carcinoma and 15 cases of DCIS (Vancouver General Hospital, from 1974 to 1995) were assembled, as described earlier.10 A total four 0.6 mm tissue cores per case were taken. The tumor cores were extracted from representative areas of tumor from paraffin embedded, formalin-fixed tumor tissue blocks, according to corresponding H&E stained whole section slides. There was no attempt to select areas of tumor with specific growth patterns or stromal predominance. The H&E slides and scanned images were graded according to modified Scarth-Bloom-Richardson grading system for invasive breast carcinoma and Consensus Conference on the classification of ductal carcinoma in situ.12

CD10 expression in the tumor stroma (both in stromal cells and extracellular matrix) was assessed by immunohistochemistry by standard immunoperoxidase method using an automatic DAKO immunostainer (monoclonal CD10, Novocastra, dilution 1:50, pretreatment with Decloak 5 min in TRS). The staining was scored semiquantitatively as negative, weak (either diffuse weak staining or weak or strong focal staining in less that 30% of stromal cells per core) and strong (defined as strong staining of 30% or more of the stromal cells). The tissue microarray slides were scored independently by two pathologists, the discrepancies were resolved by consensus. Overall agreement of scoring data was measured by κ-statistics. In case of variable results between individual tumor cores taken from the same tumor, the higher tumor score was considered a final score and superseded all other scores. Only cases with all four cores containing tumor cells were considered for statistical analysis in order to address possible heterogeneity of the staining in various tumor portions. Tissue cores with stromal tissue only, but without representative tumor cells were excluded from analysis. The score data were entered into electronic spread-sheets (Exel), and were processed using Deconvoluter software, as described previously.13 SPSS 11.0 (Chicago, IL, USA) statistical package was used for data analysis.

Statistical Analysis

For each patient, the date of breast cancer diagnosis, date of last follow-up, vital status at last follow-up, causes of death (breast cancer or other) were recorded, as described earlier. The score data were correlated with tumor grade, size, lymph node status, histological subtype, estrogen receptor (ER), progesterone receptor (PR) and Her2.12 Two-tailed nonparametric Spearman's correlation test was used. Univariate survival analysis was performed by Kaplan–Meier method; log rank and Breslow tests were applied to estimate differences between the curves. Multivariate analysis was performed using Cox regression proportional hazard models (99% confidence interval) with a backward stepwise method to remove the least significant variables from the model. The differences were declared significant at P<0.05.

Results

Case Series

Of 438 invasive breast carcinoma cases included into the tissue microarrays, 258 cases had tumor present in all four tissue cores; this was the only criterion for inclusion of cases in the study. Drop-off of the tissue cores in all other cases was random. The selection of 15 cases of DCIS was random.

Clinicopathological data on the patient series are presented in Table 1. All patients were treated by radical mastectomy or lumpectomy, with or without lymph node dissection, as described earlier.14 Adjuvant therapy approaches varied substantially during the period 1974 to 1995, and no information on individual adjuvant treatment was available. Ethical approval was obtained from the institutional ethical review board to perform this study.

Table 1 Clinicopathological data on study population (invasive breast carcinoma)

Expression of Stromal CD10 in Breast Cancer and Correlations with other Clinicopathological Data

There was no strong expression of CD10 in stromal cells of normal breast tissue, but strong CD10 expression was noted in myoepithelial cells of normal breast and faint staining of the specialized stroma of the terminal ductulo-lobular units (Figure 1a). The stromal CD10 immunostaining results in DCIS and invasive breast carcinomas are shown in Table 2. Examples of immunostainings of tissue sections are shown in Figure 1b–d. Low grade DCIS showed a trend to negative stromal CD 10 staining, as opposed to high grade DCIS (nonsignificant difference, P=0.1). Stromal CD10 expression in invasive breast carcinoma showed statistically significant positive correlation with higher tumor grade (P=0.002). The overall difference in stromal CD10 expression between DCIS and invasive carcinomas was statistically significant (P=0.003). There was a correlation between stronger stromal CD10 staining and ER-negative status of the tumor (P=0.002). There was no correlation between stromal CD10 expression and lymph node status, tumor size, histological subtype, PR, and Her2 status of the tumor (P>0.05).

Figure 1
figure 1

(a) CD10 in normal breast: strong staining in myoepithelial cells. (b) Strong reaction in myoepithelial cells of the pre-existing breast ducts and negative tumor stroma. (c) Weak staining: less than 30% of stromal cells positive. (d) Strong staining: more than 30% of stromal cells positive. Immunoperoxidase method, DAB, × 200.

Table 2 Distribution of stromal CD10 immunostaining in DCIS and invasive carcinoma of the breast according to tumor grade

Prognostic Significance of Stromal CD10 Expression in Invasive Carcinoma of the Breast and Reproducibility of the Scoring

As expected, there were no breast-cancer associated deaths in the DCIS group. Only invasive breast carcinoma cases were subjected to survival analysis. Kaplan–Meier survival curves and corresponding P-values are shown in Figure 2. Strong positive expression of CD10 in the stroma of invasive breast carcinoma was associated with decreased long-term disease-specific survival and overall survival for the entire cohort (Figure 2a and b). In the lymph node negative subset of patients we observed significant differences in long-term disease-specific survival (Figure 2c) and overall survival (not shown). Paired tests for each stratum were performed (ie CD10 strong vs CD10 negative, CD10 weak vs CD10 negative and CD10 strong vs CD10 weak) and showed significant differences in survival for patients with CD10 positive (either CD10 strong or weak) vs CD10 negative tumor stroma, while there was no difference in either type of survival between CD10 weakly and strongly positive groups. In the lymph node positive group we did not observed statistically significant differences in disease-specific survival (Figure 2d), while it was a significant difference in overall survival (not shown). Multivariate analysis of disease-specific survival showed that stromal CD10 expression approached significance as an independent negative prognostic factor (P=0.06), when the model included lymph node status, tumor size, ER, and Her2. When the least significant variables were excluded from the model in a stepwise fashion, only lymph node status (P=0.003) and stromal CD10 expression (P=0.05) retained independent prognostic significance. In this model positive stromal CD10 expression was associated with relative risk of death 2.8 compared to relative risk 2.4 produced by lymph node positive status. When overall survival was considered with the same variables in the model, only lymph node status was of independent significance, while CD10 showed a trend towards significance (P=0.08).

Figure 2
figure 2

Kaplan–Meier survival analysis of CD10 expression in the stroma of invasive breast carcinoma (log rank/Breslow tests; only one P-value is declared in case of no differences between two tests): (a) disease-specific survival, entire cohort: negative vs weak, P=0.01; negative vs strong, P=0.01; weak vs strong, P=0.5/0.7. (b) Overall survival, entire cohort: negative vs weak, P<0.01; negative vs strong, P<0.01; weak vs strong, P=0.3/0.4. (c) Disease-specific survival, subset analysis, lymph node negative group: negative vs weak, P=0.03/0.04; negative vs strong, P<0.01; weak vs strong, P=0.3. (d) Disease-specific survival, subset analysis, lymph node positive group: negative vs weak, negative vs strong, weak vs strong, for all paired tests P>0.1.

Stromal CD10 expression scoring data, provided independently by two pathologists (MH and BC) on two independent sets of tissue microarrays were subjected to variation analysis. It considered variation in the immunostainings between two sets of double core tissue microarrays and interobserver variation simultaneously. We observed 77% concordance for score 1 and 65% for score 2. Substantial agreement between scoring results was achieved, when the results were binarized as negative and positive (κ=0.6), although only fair agreement (κ=0.4) was noted when three tier scoring system was used (ie negative, weak and strong). Notably, despite these variations, CD10 retained its prognostic significance, particularly in lymph node negative subset of patients, when survival analysis was performed separately for the sets of scores submitted by two different pathologists (data not shown).

Discussion

The matrix plays a key role in the development of cancer, as matrix molecules play a modulating role on tumor invasion and metastasis. A better understanding of stromal contributions to cancer progression may identify specific signals that promote growth, de-differentiation, invasion, and ectopic survival, and eventually result in the identification of new therapeutic targets for future treatments.15

Matrix metalloproteinases are a family of metallopeptidases that cleave the protein components of extracellular matrix and thereby play a central role in tissue remodeling. Several synthetic matrix metalloproteinases inhibitors have been developed and shown to be effective in blocking tumor growth in experimental animals, validating the concept of matrix metalloproteinases as therapeutic targets for cancer. Unfortunately, synthetic matrix metalloproteinases inhibitors have thus far failed to live up to their expectations in initial clinical trials in humans.16

CD10—cell surface zinc-dependent metalloproteinase, has been demonstrated on the stromal cells of some breast carcinomas, and suggested to be upregulated in breast cancer cells.17 Some experimental data indicate that CD10 may be a potential target for new cancer therapies, as it is involved in cleavage of doxorubicin, critical component of many cancer treatment protocols, and results in chemoresistance. Inhibition of CD10 enzymatic activity may enhance the antitumor efficacy of traditional chemotherapeutic regimens.18

We evaluated overall expression of CD10 in tumor stroma. Indeed, stroma in breast cancer is cellular, and CD10 staining could be observed in both stromal cells and extracellular matrix. It is known that neutral endopeptidase could be found as intracellular as extracellular, since it is produced by specialized tumor stromal cells and, once secreted, is involved in extracellular matrix degradation. To date, only one study has addressed prognostic significance of stromal CD10 expression in invasive carcinoma of the breast.2 It was shown that stromal CD10 expression was associated exclusively with invasive breast carcinoma, but not with carcinoma in situ and a higher frequency of stromal CD10 staining was seen primarily with lymph node positive breast cancers. In our study, we confirm the prognostic significance of stromal CD10 expression in invasive breast carcinoma in univariate and multivariate analyses. Stromal CD10 expression was consistently associated with decreased survival in the node-negative group of patients (P=0.01); in node-positive group we observed only a trend towards decreased disease-specific survival (P>0.1). We also found that stromal CD10 expression is not exclusive for invasive carcinomas, as was suggested earlier,2 as CD10 stromal positivity was present in 47% of cases of DCIS.

A recent gene expression profiling study of breast carcinoma stroma19 identified two clinically significant types of stromal signatures in breast cancer, namely, solitary fibrous tumor type and desmoid-type fibromatosis type, where the first was associated with poor outcome. These two types of stromal signatures were independent from gene clusters previously described20, 21 in multivariate analysis, indicating that both tumor-cell-mediated and stromal-cell-mediated pathways are of independent significance for the natural history of breast carcinoma. CD10 expression was associated preferentially with desmoid-type fibromatosis stromal signature, and, possibly, contributed to a number of negative outcomes in invasive carcinoma of the breast with this type of stromal signatures. This may suggest that CD10 constitutes a component of a novel independent stromal signaling pathway, which contributes to biological and clinical aggressiveness of invasive breast carcinoma.

We conclude that expression of CD10 in the stoma of invasive breast carcinoma is associated ER-negativity, higher tumor grade, decreased patient survival, most significant in the node-negative subset. CD10 constitutes a clinically important prognostic marker and a potential target for development of novel therapies. Further functional studies are needed to elucidate signaling mechanisms resulting in over-expression of CD10 in the stroma of invasive breast carcinoma.