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© 2003 American Society for Clinical Oncology Minichromosome Maintenance Protein 2 Is a Strong Independent Prognostic Marker in Breast Cancer
From the Medical Research Council Cancer Cell Unit, Hutchison/Medical Research Council Research Centre; Department of Histopathology, Addenbrookes Hospital; and Centre for Applied Medical Statistics, University of Cambridge, Cambridge; and Department of Histopathology, Nottingham City Hospital, Nottingham, United Kingdom. Address reprint requests to Nicholas Coleman, MD, Medical Research Council Cancer Cell Unit, Hutchison/Medical Research Council Research Centre, Hills Rd, Cambridge CB2 2XZ, United Kingdom; e-mail: nc109{at}cam.ac.uk.
Purpose: To test the hypothesis that prognostic information in breast cancer may be derived from an accurate assessment of epithelial cell cycle entry, as indicated by expression of minichromosome maintenance (MCM) proteins. Materials and Methods: We used immunohistochemistry to examine the distribution of Mcm-2 in breast tissue. Power calculations based on a pilot study of 67 whole tissue sections led to selection of an independent 347-core breast carcinoma tissue microarray validation set. We tested for associations between Mcm-2 (and Ki-67) labeling index (LI) and various clinicopathologic parameters. Results: Mcm-2 was expressed more frequently than the standard proliferation marker Ki-67 in whole tissue sections of normal breast (P = .0003) and breast carcinoma (P < .0001). In 221 assessable cores of invasive carcinoma, the Mcm-2 LI showed a positive association with tumor size (P = .002), mitotic index (P < .0001), histologic grade (P < .0001), and the Nottingham Prognostic Index (NPI) score (P < .0001). Using a cutoff value of 50%, Mcm-2 LI was associated with overall survival (P = .0007), disease-free interval (P = .0002), and with the development of regional recurrence (P = .011) and distant metastases (P = .0016). Cox regression analysis suggested that the Mcm-2 LI is a strong prognostic factor in breast cancer that is independent and superior to histologic grade, lymph node stage, and Ki-67 LI, but not the NPI score. Conclusion: Mcm-2 may be of utility as a prognostic marker to refine the prediction of outcome in breast cancer, for example when combined with parameters currently used in the NPI.
PROGNOSIS IN breast cancer is determined by the extent of spread of the disease and by the inherent aggressiveness of the tumor, as defined by biologic characteristics such as the rate of tumor cell proliferation. Patient age, hormone receptor status, histologic type, and evidence of vascular invasion serve as useful predictors of outcome in routine clinical practice.1 However, the most important independent prognostic indicators are the traditional pathologic parameters of lymph node stage,24 histologic grade,5,6 and tumor size,24 which have been combined to refine prognostication further in the Nottingham Prognostic Index (NPI).2,7 Patients can thereby be stratified into good (NPI score < 3.4; 15 year-survival rate, 80%), moderate (NPI score 3.4 to 5.4; 15 year-survival rate, 42%), and poor (NPI score > 5.4; 15-year survival rate, 13%) prognostic groups, on which therapeutic decisions can be based.1 At present, the proliferative rate of breast tumors is assessed during histologic grading5,6 by performing a mitotic count in a specified microscopic field area. This exercise provides a limited, cell cycle phasespecific estimation of the tumor growth rate. The frequency of entry of tumor cells into the cell cycle, regardless of phase, may associate independently with clinical course if adequately assessed. We have therefore tested the hypothesis that minichromosome maintenance proteins (MCMs), recently identified markers of cell cycle entry, may be of value in the clinical management of breast cancer. In eukaryotes, DNA replication occurs once and once only in each cell cycle. This is partly due to cyclical binding and release of a complex of MCM proteins (MCMs 2 through 7).8,9 In the early G1 phase of the cell cycle, the proteins ORC, Cdc6, and Cdt1 functionally interact with MCMs 2 through 7 at replication origins, resulting in the formation of the prereplication complex (pre-RC).1012 The hexameric MCM component of the pre-RC demonstrates helicase activity that may unwind DNA during replication.13 This allows the DNA replication machinery to access binding sites on DNA, making chromatin competent or licensed for DNA replication. MCMs are specific markers of the cell cycle state in tissues. Expression is seen during all phases of the cell cycle, but MCMs are lost after exit from cycle; with rapid loss after differentiation and slower loss in quiescent (G0) cells.1416 In contrast, proliferation markers in current use, such as proliferating cell nuclear antigen and Ki-67, provide only a limited assessment of cell cycle state.1723 The recent availability of antibodies to MCMs has provoked much interest, particularly in cancer research, where their application has demonstrated clinical value in screening, diagnosis, and estimation of prognosis of malignant disease.2437 Most studies have used antibodies against Mcm-2 and Mcm-5, although all MCMs show essentially similar distributions.24,36 The aims of the present study were to characterize the pattern and frequency of expression of Mcm-2, as a prototype MCM, in normal and malignant breast tissue and to compare expression with that of Ki-67. We also aimed to investigate the association of the Mcm-2 labeling index (LI) with clinicopathologic features, including the NPI, and to assess the potential value of Mcm-2 in predicting clinical outcome for patients undergoing surgery for breast cancer. We used two independent sets of cases. In a pilot study we examined whole tissue sections of 67 cases, representing normal breast (n = 11) and breast carcinoma (n = 56). This enabled us to generate hypotheses concerning the expression of Mcm-2 in breast carcinoma that were subsequently tested in an independent 347-core breast carcinoma tissue microarray (TMA) validation set, after determination of a sample size that would provide appropriate statistical power.
Clinical Specimens Archival formalin-fixed, paraffin-embedded breast tissue was randomly selected from the Nottingham Tenovus Primary Breast Cancer Study, with local research ethics committee approval. The Nottingham study is based on a series of patients with primary operable breast carcinomas who are treated in a uniform manner. All carcinomas assessed were well characterized in terms of clinical and pathologic information. Tumor size was recorded in the fresh state and confirmed in the fixed specimen. Histologic grade,38 tumor type,39,40 and presence of vascular invasion41 were recorded. The mitotic index was determined as previously described.5,6 Lymph node stage was assessed by low axillary node sampling (with sampling of internal mammary nodes for medial tumors); the nodes were then examined histologically at several levels.38 For each case, the NPI score was calculated and estrogen receptor (ER) status determined by the dextran charcoal coated method, as previously described.41 All patients studied underwent regular postoperative clinical assessment, with a median follow-up period of 102.5 months (range, 2 to 192 months).
In our pilot study, we examined whole tissue sections of 56 randomly selected cases of invasive breast carcinoma (Table 1
Immunohistochemistry and Quantitative Assessment Five-micron tissue sections were microwaved in 0.08 mol/L of citrate buffer for 30 minutes to facilitate antigen retrieval. Sections were stained using a Dakoautostainer Universal Staining System and DAKO ChemMate (DAKO; Ely, United Kingdom).24 Mouse antiMcm-2 monoclonal antibody is produced in our laboratory in collaboration with Dr Steve Dilworth (Hammersmith Hospital, London, United Kingdom) and antiMib-1 (raised against a Ki-67 clone) is commercially available (Sigma; Dorset, United Kingdom). The antiMcm-2 antibody was shown by Western blotting to identify a single band of appropriate size in protein extracts of breast carcinoma cell lines (data not shown). Specificity of the antibody was further confirmed by inhibition of staining in Western blots and tissue sections using the immunizing peptide (data not shown). The following concentrations of primary antibody were found to produce optimal staining: Mcm-2 1:10, Ki-67 1:100. Serial sections of each specimen were stained for Mcm-2 and Ki-67 to provide comparative data. For all samples studied, negative controls were performed by omitting the primary antibody. Cervical high-grade squamous intraepithelial lesions were used as positive control tissue.24 The frequencies of expression of Mcm-2 and Ki-67 in breast epithelium were determined by calculating an LI for each marker, representing the percentage of epithelial nuclei that stained positively. In the whole tissue sections, LIs were determined in areas of maximal frequency of expression identified at low magnification. All samples were examined independently by two observers (M.A.G. and G.C.), one of whom (G.C.) is consultant breast histopathologist. Approximately 20% of the samples were also examined independently by a second consultant breast histopathologist (S.E.P.). The final LIs for each case represented the means of the values obtained by the two or three observers. In the vast majority of cases, the LIs determined by the observers differed by less than 5% of the final values. In the rare cases where there was greater disagreement between observers, the final LI value was determined by consensus. Analysis was performed on at least 500 epithelial nuclei per whole tissue section and on all the neoplastic nuclei in a TMA core.
Statistical Analysis Spearmans rank correlation (denoted r) and 95% CIs were used to test the associations between two continuous variables. Kaplan-Meier cumulative survival curves were constructed, and the log-rank test was used to examine differences in survival in a phase I prognostic study (defined as a prognostic study that seeks to evaluate the association between a new marker and disease characteristics).42 In this analysis we defined overall survival time as the period from the date of operation for excision of the primary carcinoma to the date of the last clinic visit (if alive) or the date of death. We defined disease-free interval as the period from the date of operation to the date of any disease recurrence (local, regional, or distant) or the date of the last clinic visit. Univariate and multivariate Cox regressions were used to look at the effects of covariates on time to event data. All of the statistical tests were performed using SPSS v11.5 (SPSS Inc, Chicago, IL).
Pilot Study: Whole Tissue Sections of Normal and Malignant Breast Tissue In the 11 cases of normal breast tissue examined, expression of Mcm-2 and Ki-67 was observed in both lobules and ducts (Fig 1A
The clinical and pathologic characteristics of the 56 cases of invasive breast carcinoma in our pilot study are listed in Table 1
The Mcm-2 LI showed a significant positive association with tumor size (P < .0001), mitotic index (P < .0001; Fig 2A
Survival curves were constructed following cut point analysis of the receiver operating statistics curves. Identical results were obtained with Mcm-2 LI cutoff values ranging from 50% to 80%. It was not possible to refine the cut point analysis further using the available data. There was only one death over a median of 37 months (range, 6 to 47 months) in 22 patients with a tumor Mcm-2 LI of less than 50%, compared with six deaths over a median of 35.5 months (range, 2 to 42) in 34 patients with a tumor Mcm-2 LI of more than 50% (Fig 3
Validation Study: Breast Carcinoma Tissue Microarrays Based on the results of the pilot study, we performed a sample size calculation to determine the number of independent invasive breast carcinoma samples required to detect a statistically significant difference in overall survival between two groups of patients stratified by Mcm-2 LI. With a sample size of 99 patients in each group, a .05-level two-sided log-rank test for equality of Kaplan-Meier survival curves showed 80% power in detecting a difference between the two Mcm-2 LI stratified groups (using any Mcm-2 LI cutoff between 50% and 80%) for a mean-follow-up time of 40 months, with a constant hazard ratio of 0.253 and assuming no loss to follow-up. We therefore aimed to analyze Mcm-2 protein expression in a minimum of 198 invasive breast carcinoma TMA cores to define more accurately its prognostic relevance in an independent cohort of samples.
We stained 347 invasive breast carcinoma TMA cores, of which 221 (63.6%) proved suitable for evaluation of Mcm-2 and Ki67 expression (Fig 1G
The Mcm-2 LI was higher than the Ki-67 LI (P < .0001) in the invasive carcinoma TMA cores and both LIs showed a strong positive association (r = 0.73; P < .0001; Fig 2C Associations with clinical outcome were investigated after cutoff analysis of the receiver operating statistics curves for this data set. Analysis was only performed within the range of cutoff values of 50% to 80%, suggested by the pilot study. Whereas refinement of the cutoff analysis could not be performed in the pilot study, the larger number of cases and increased length of follow-up in the validation study did enable this exercise to be undertaken. An optimal cutoff value of 50% was determined.
Mcm-2 LI was associated with overall survival (LR = 11.38; degrees of freedom [df] = 1; P = .0007; Fig 4A
The results of univariate and multivariate analyses using the TMA data set of the effect of covariates on overall survival are listed in Tables 3
Markers that reliably define the cell cycle state in archival tissue sections have not been available until recently. We have evaluated the frequency and pattern of Mcm-2 expression in two independent series of well-characterized normal and neoplastic breast tissue samples. Our data suggest that the fraction of cells in cycle in normal and neoplastic breast epithelium, as detected by Mcm-2 expression, may have been significantly underestimated in prior studies that have used Ki-67. As defined by expression of Mcm-2, a variable percentage of cells in normal premenopausal breast tissue have entered the cell cycle in both lobular and ductal compartments. Stoeber et al15 have examined expression of Mcm-2 in normal breast and reported a labeling index similar to our findings for both Mcm-2 (median, 47%; range, 22% to 78%) and Ki-67 (median, 6%; range, 4% to 10%). The median difference between the Mcm-2 LI and Ki-67 LI in normal breast tissue in our study was 21.8%, with a greater range of Mcm-2 LI values than of Ki-67 LI values. Differences between Mcm-2 LIs and Ki-67 LIs may be accounted for by the presence of cells in the early G1 phase of the cell cycle, which may not express Ki-67.20 Hence, breast (and other) tissue with a high proportion of cells that are progressing slowly through G1 phase or held in G1 would be predicted to show a higher LI for Mcm-2 than for Ki-67. Blow and Hodgson43 have proposed that failure to downregulate the DNA replication licensing system might make transition to uncontrolled cellular proliferation easier to achieve. The clinical significance of high Mcm-2 expression in normal breast tissue, therefore, warrants further investigation, because a high Mcm-2 LI may confer a risk of subsequent malignant transformation. It would also be instructive to study the expression of Mcm-2 in high-risk benign breast disease to elucidate its potential role as a marker that predicts the development of breast cancer in potential precursor lesions. Our study also shows that Mcm-2 identifies significantly more cells in cycle than Ki-67 for all histologic subtypes of breast tumor examined. There is an important need in breast cancer for a prognostic index that can be used on an individual patient basis to provide accurate predictive information regarding survival or response to treatment, particularly perioperative systemic adjuvant therapy.1,44 Our findings in this phase I study of two independent data sets suggest that the Mcm-2 LI has the potential to serve as an independent prognostic marker in breast cancer. The Mcm-2 LI was a stronger predictor of survival than the Ki-67 LI and was of greater value than the individual parameters of lymph node stage and histologic grade. Assessment of the Mcm-2 LI was a relatively straightforward, objective, and reproducible exercise. The Mcm-2 LI in our study was determined in randomly selected tissue blocks or cores. This is appropriate to any future prognostic test based on detection of markers using histology or immunohistochemistry. As only a portion of tissue from resected carcinomas is sampled for histopathology, the area of maximal proliferative activity in an individual tumor may not be represented in the tissue sections examined. Nevertheless, our data suggest that determination of Mcm-2 LIs in randomly selected regions of invasive breast carcinoma provides potentially useful prognostic information that is superior to that derived from other parameters assessed on the same sample. In conclusion, we have shown that the Mcm-2 LI may prove to be of clinical value in breast cancer as an independent prognostic factor for improving estimation of prognosis and guiding therapeutic decisions. There is potential for Mcm-2 LI to be combined with existing individual prognostic factors or with integrated indices such as the NPI. There is now a requirement for a study investigating a larger independent series of breast tumors in which the prognostic value of the Mcm-2 LI is assessed alone and in combination with the NPI. Independent prospective studies will be required in due course.
The authors indicated no potential conflicts of interest.
Supported by the Medical Research Council and Cancer Research United Kingdom. M.A.G. is a Medical Research Council Clinical Research Training Fellow.
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Copyright © 2003 by the American Society of Clinical Oncology, Online ISSN: 1527-7755. Print ISSN: 0732-183X
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