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Introduction

Immunohistochemical staining has traditionally been performed on whole tissue sections from paraffin blocks to evaluate the value of proteins as prognostic markers. However, this technique, which requires the processing and staining of hundreds or even thousands of slides, is extremely time-consuming when a large number of tumors or various markers are investigated. In 1998, Kononen et al (1) introduced tissue microarray (TMA) technology which facilitated the retrospective study of a large number of archival formalin-fixed, paraffin-embedded samples. Using this relatively new technology, hundreds of specimens can be inserted into a recipient TMA block that can be tested with different techniques, including immunohistochemical methods. TMA analysis has the added advantage that hundreds of specimens are processed simultaneously using identical conditions. Furthermore, TMA analysis markedly conserves reagents, saves time and greatly decreases the amount of archival tissue required for a particular study, thus preserving tissue for other research or diagnostic needs (2,3). In addition, analysis of serial TMA sections facilitates the identification of associations between multiple markers (4,5). However, the main criticism of TMA is that the amount of tissue analysed using this technique is limited and may not be representative of the whole specimen (6). This may pose a significant problem in malignant epithelial tumors where intratumoral heterogeneity exists (7,8).

Numerous studies have concentrated upon the validation of TMA for different tumors by comparing the immunohistochemical staining results of various core biopsies on TMA with the results of whole section analysis to consider the number of cores required to adequately represent the expression of the antigen (3,6,9–11). Few studies, however, have correlated survival and clinical data with both TMA and the results obtained from whole tissue sections (12–14).

Previously, we identified Ki-67 and p16 (15), using whole tissue sections and immunohistochemistry, in a large series of stage III ovarian cancer and compared the results with clinical information. Using univariate analysis a high expression of Ki-67 (P=0.0001) and p16 (P=0.005) was found to be associated with poor survival. However, in multivariate analysis only a high expression of Ki-67 was significantly associated with shorter survival (P=0.025) (15). Therefore, TMAs were generated from the 171 paraffin-embedded ovarian carcinomas. Each tumor is represented by 3 punches with a diameter of 0.6 mm, and obtained from different sites within the active and representative tumor regions. This study aimed to compare the immunohistochemical expression of Ki-67 and p16 in whole tissue sections and TMAs and establish whether data derived from TMAs can be reliably used for survival analysis in ovarian cancer patients.

Materials and methods

Patients and samples

Tumor tissue samples from 171 patients with stage III epithelial ovarian cancer, treated in the period from January 1988 to May 1993 at The Norwegian Radium Hospital, were collected during primary surgery. The median age at diagnosis was 54 years (range 21–70). The patients were followed-up until they succumbed to the disease or until December 31st, 2003. Detailed patient information was reported in our previous study (15). The Regional Committee for Medical Research Ethics South of Norway (S-06277a), The Social and Health Directorate (06/3280) and The Data Inspectorate (06/5345) approved the study.

TMA construction

A total of 171 ovarian carcinomas were used for TMA construction. Prior to insertion into a TMA block, hematoxylin and eosin (H&E)-stained sections were created from each tissue donor block to identify the most appropriate (absence of necrosis, poorly differentiated) tumor areas. A total of 3 tissue cylinders with a diameter of 0.6 mm were removed from selected areas of each tissue donor block using Beecher Instruments (Beecher Instruments, Silver Spring, MD, USA) and placed into a TMA paraffin block. H&E-stained sections from the TMA blocks were generated for histological evaluation.

Immunohistochemistry

Whole tissue sections and TMA slides were immunostained using the Dako EnVisionTM + System, Peroxidase (DAB) (K4007, Dako Corporation, CA, USA) and Dako Autostainer, as previously described (15). Briefly, after deparaffinization, the sections were incubated with monoclonal antibodies against p16 (clone 16P04, diluted 1:200, 1 μg IgG1/ml) from NeoMarkers, Inc., CA, USA and Ki-67 (clone Ki-S5, 1:50, 0.9 μg IgG1/ml) from Dako A/S, Glostrup, Denmark, for 30 min at room temperature. The sections were then incubated with peroxidase-labeled polymer conjugated to goat anti-mouse for 30 min and 3′3-diaminobenzidine tetrahydrochloride (DAB) for 10 min. Positive controls (cervical carcinomas for p16 and tonsils for Ki-67) were included in the series. Negative controls included substitution of the monoclonal antibody with mouse myeloma protein of the same subclass and concentration as the monoclonal antibody. The controls yielded satisfactory results. Only distinct nuclear staining was considered to be positive. A total of 4 semiquantitative classes were used to describe the number of positively-stained tumor cells: none, <10% positive; 10–50% positive and >50% positive. Two independent investigators (M.H.K. and R.H.) scored the whole tissue sections and TMA slides with no knowledge of the clinical data. Conflicting results were reviewed until a final agreement was achieved. Protein levels were classified as high when ≥10% of the cells were positive for Ki-67 and >50% of the cells were positive for p16. The levels were classified based on our previous publication (15). This study showed the results for each of the three tissue cores (1, 2 and 3), TMAs (a tumor was considered to be a high expression of Ki-67 or p16 if at least one of the three tissue cores was scored as a high expression) and the whole tissue sections.

Statistical analysis

Differences in proportions were evaluated by the Chi-square or Fisher’s exact test as required. The Kaplan-Meier method was used to calculate the disease-free and corrected survival rates (16). The long-rank test was used for univariate analysis and a Cox proportional hazards regression model was used for multivariate evaluation of the survival rates (17). A backward stepwise selection procedure was used for the multivariate analysis. The hazard proportionality was verified by computing the log - log against time. Statistical analysis was performed using the SPSS 15.0 software package (SPSS, Chicago, IL, USA). P<0.05 was regarded as statistically significant.

Results

Table I shows a summary of the immunohistochemical results for Ki-67 and p16 in the three cores, TMAs and whole tissue sections. Only 88/1026 cores (8.6%) were missing, including 39/513 (7.6%) for Ki-67 and 49/512 (9.6%) for p16, resulting in 2/171 (1.2%) cases for Ki-67 and 7/171 (4.1%) cases for p16 that were not noted in the TMAs. Excluding the missing tissue cores, a high expression of Ki-67 was identified in 85.0% of core 1, 85.5% of core 2, 85.8% of core 3, 90.5% of TMAs and 84% of whole tissue sections. For p16, a high expression was found in 36.5% of core 1, 31.4% of core 2, 30.3% of core 3, 46.3% of TMAs and 31.0% of whole tissue sections. The high expression of Ki-67 and p16 in whole tissue sections significantly correlated with a high expression of Ki-67 and p16 in core 1 (P<0.0001 and P<0.0001, respectively), core 2 (P<0.0001 and P<0.0001, respectively), core 3 (P<0.0001 and P<0.0001, respectively) and TMAs (P<0.0001 and P<0.0001, respectively). Examples of the high expression for Ki-67 and p16 are shown for a core in TMA and whole sections (Fig. 1).

Figure 1 Immunohistochemical staining of Ki-67 on (A) whole section and (B) TMA and p16 on (C) whole section and (D) TMA. Insets show tissue cores containing tumor and stromal areas.

Table I Summary of immunohistochemical analysis.

Table I

Summary of immunohistochemical analysis.

	Ki67					p16
	C1	C2	C3	TMA	Whole	C1	C2	C3	TMA	Whole
Low	24 (14.0)a	23 (13.5)	22 (12.9)	16 (9.4)	27 (16.0)	99 (57.9)	107 (62.6)	106 (61.9)	88 (51.5)	118 (69.0)
High	136 (79.5)	136 (79.5)	133 (77.8)	153 (89.5)	144 (84.0)	57 (33.3)	49 (28.6)	46 (26.9)	76 (44.4)	53 (31.0)
Missing	11 (6.4)	12 (7.0)	16 (9.4)	2 (1.2)	0	15 (8.8)	15 (8.8)	19 (11.1)	7 (4.1)	0
Total	171	171	171	171	171	171	171	171	171	171

{ label (or @symbol) needed for fn[@id='tfn1-ol-01-05-0827'] } C, core; TMA, tissue microarray (in the TMAs a tumor was considered to be a high expression of Ki-67 or p16 if at least one tissue core was scored as high expression); Whole, whole tissue section;

a (%).

Previously, we found, in the same patient population, that in the univariate analysis, FIGO substage (P=0.0002), presence of ascites (P=0.0012), presence of residual disease after surgery (P<0.0001), degree of differentiation (P=0.0001), Silverberg histopathological grade (grade 1 vs. grade 2/3) (P=0.0019) and age (P=0.045) were correlated to disease-related survival (15). In univariate analysis, high expression levels for Ki-67 on core 2 (P=0.008), core 3 (P=0.012), TMA (P=0.012) and whole tissue sections (P=0.0001) were significantly correlated to disease-related survival, whereas, Ki-67 expression on core 1 was not significantly correlated to disease-related survival (P=0.054). High expression levels for p16 on core 1 (P=0.0007), core 2 (P=0.0005), TMA (P=0.0008) and whole tissue sections (P=0.005) were correlated to disease-related survival. No significant association was observed between p16 expression on core 3 and disease-related survival (P=0.055).

The variables that reached significance in the univariate survival analysis were incorporated in a multivariate analysis, with disease-related survival used as the end point. In this study, only residual disease (P=0.0003), differentiation grade (P=0.012) and Ki-67 on whole tissue sections (P=0.025) retained independent prognostic significance, with a high expression of Ki-67 indicating shorter disease-related survival (15). Prognostic significance was not achieved in Ki-67 expression on the three individual cores and the TMAs. Furthermore, prognostic significance was not achieved in the multivariate analysis in p16 on whole tissue sections, the three individual cores and the TMAs.

Discussion

TMA is proving to be a user-friendly technique in the evaluation of immunohistochemical markers in tumors and may be an alternative for whole sections especially in studies that investigate a large number of cases. Numerous studies have used this technology to examine the associations between molecular changes and clinicopathological characteristics of tumors (4,15,18). However, only a few studies have correlated survival and clinical data with both TMA and results obtained from whole sections to establish whether data from TMAs can be reliably used for clinicopathological correlations and survival analysis (12,14). The majority of studies investigated the ability of TMA to represent whole sections in immunohistochemical studies of certain antigens as well as the optimal number of TMA cores needed to achieve acceptable representation of the specimens (6,10,19–21). Our results showed that even one 0.6 mm TMA core represented whole sections as significantly as the score of all three TMA cores. In agreement with our results, a study on breast cancer (3) concluded that one or two TMA cores per case result in outcomes that are 95% similar to those achieved using conventional tissue sections. However, the majority of validation studies have found that analysis of two to three 0.6 mm cores produces higher concordance rates than the use of one core; the percentage of missing cores is also reduced (3,6,22–24). Jourdan et al (9) analyzed eight (0.6 mm) cores per tumor in colorectal carcinomas and concluded that compared with one or two cores, three cores significantly increase the concordance rate with the whole sections, and decrease the risk of missing cases. However, another study on colorectal adenoma (19) indicated that, due to the heterogeneous staining pattern, four (0.6 mm) cores are required to reliably assess the expression levels of Ki-67. Furthermore, other studies suggested that even two cores, but with a larger diameter (1 mm), provide sufficient information to achieve results similar to those obtained from whole sections (11). The discrepancy in the number of cores required to obtain acceptable representation of the specimens may be due to variation of the heterogeneity of the antigens in the tumors tested.

The missing cores in our study comprised 8.6% of the entire number of cores. This result was acceptable considering the large number of cores, and the comparison of missing core percentages of other similar studies; these core percentages deteriorated from 6.6 to 17% (11,19,20).

Considering the previous results, our study was also concerned with the reliability of the TMA immunohistochemical results of certain antibodies as prognostic markers. Our results showed a significant correlation of high expression levels for Ki-67 and p16 in TMA and whole tissue sections to disease-related survival in univariate analyses. However, prognostic significance was not achieved when the same variables were incorporated in a multivariate analysis. In this case, only certain clinical parameters retained independent prognostic significance, and a high expression of Ki-67 and p16 was not significant on each of the three individual cores and the TMAs. In contrast, in the multivariate analysis whole tissue sections in Ki-67 expression retained independent prognostic significance (15). A review of the literature showed that various studies investigated the clinico-immunologic correlations using TMAs (25). However, only a few studies have correlated survival and clinical data with both TMA and results obtained from whole sections to establish whether data from TMAs can be reliably used for clinicopathological correlations and survival analysis (12,14). In concordance with our results, a study of 199 patients with prostatic carcinoma (13) revealed that the prognostic value of p53 and bcl-2 were not confirmed using TMA technology in contrast to radical prostatectomy sections. In this study, two cores of 0.6 mm from each representative area of each case were selected. It was found that the value of TMAs in the search for prognostic markers may be limited to biomarkers with diffuse expression and not focally clustered biomarkers such as p53 and bcl-2. Another study on breast carcinomas (14) proved that an analysis of three antibodies on four cores per tumor yielded more significant associations with tumor-specific survival than large section analyses. By contrast, a study on bladder carcinoma, using four replica TMAs of 0.6 mm, showed a correlation between the Ki-67 LI (labeling index) and tumor stage or prognoses that highly reproduce whole section data (12). These studies indicate that the prognostic value of TMA compared to whole sections may depend on the type of cancers, number of cores and the antigen investigated.

In conclusion, the question regarding to what extent TMAs are able to represent whole sections is currently being investigated by a growing number of studies that have proved the reliability of this technique. However, a crucial point is whether TMA is able to reproduce clinicopatholological correlations that exist on whole section analyses. Additionally, the number of cores required to achieve this particular purpose should be investigated. Although TMA may have advantages, such as being cost-effective and saving time and tissues, our results indicate that further studies, with the use of a larger number of cores are necessary to determine the efficacy of TMA to reflect the prognostic value of different antibodies. Moreover, this method should be evaluated for each type of tumor and each separate antigen. Confirmation of the clinical associations on whole sections prior to investigating the same parameters on TMAs should also be obtained.

Acknowledgements

We thank Ellen Hellesylt and Mette Førsund for their excellent technical assistance. This study was supported in part by grants from The Norwegian Cancer Society and Inger and John Fredriksen Foundation for Ovarian Cancer Research.

References