High levels of vascular endothelial growth factor and its receptors (VEGFR-1, VEGFR-2, neuropilin-1) are associated with worse outcome in breast cancer.

Vascular endothelial growth factor has been shown to be up-regulated in breast cancers. Vascular endothelial growth factor receptors, VEGFR-1 and VEGFR-2, are the principal mediators of its effects. Together with VEGFR-1 and VEGFR-2, neuropilin-1 may act as a coreceptor for vascular endothelial growth factor. Although vascular endothelial growth factor exerts important effects on endothelial cells, VEGFRs are likely present on tumor cells as well. We used AQUA to analyze tumor-specific expression of vascular endothelial growth factor, VEGFR-1, VEGFR-2, and neuropilin-1 on a large cohort of breast cancer tissue microarray. Two-fold redundant arrays were constructed from 642 cases of primary breast adenocarcinomas. Automated image analysis with AQUA (Automated Quantitative Analysis) was then performed to determine a quantitative expression score. Scores from redundant arrays were normalized and averaged. Kaplan-Meier survival analysis showed that high levels of vascular endothelial growth factor, VEGFR-1, VEGFR-2, and neuropilin-1 were all significantly associated with survival (Miller Siegmeund corrected P = .0020, .0160, and .0320, respectively). In addition, vascular endothelial growth factor and neuropilin-1 retained a significant association with survival independent of other standard prognostic factors. Vascular endothelial growth factor, VEGFR-1 and -2, and neuropilin-1 are expressed to varying degrees in primary breast cancers and have prognostic significance. Further study of the functional significance of this finding is warranted as well as the prognostic value of these biomarkers in other tumor microenvironment-specific compartments (eg, vessels).

Quantitative analysis of estrogen receptor heterogeneity in breast cancer.

Immunohistochemical analyses (IHC) of biomarkers are extensively used for tumor characterization and as prognostic and predictive measures. The current standard of single slide analysis assumes that one 5 microM section is representative of the entire tumor. We used our automated image analysis technology (AQUA) using a modified IHC technique with fluorophores to compare estrogen receptor (ER) expression in multiple blocks/slides from cases of primary breast cancer with the objective of quantifying tumor heterogeneity within sections and between blocks. To normalize our ER scores and allow slide-to-slide comparisons, 0.6 microm histospots of representative breast cancer cases with known ER scores were assembled into a 'gold standard array' (GSA) and placed adjacently to each whole section. Overall, there was excellent correlation between AQUA scores and the pathologist's scores and reproducibility of GSA scores (mean linear regression R value 0.8903). Twenty-nine slides from 11 surgical cases were then analyzed totaling over 2000 AQUA images. Using standard binary assignments of AQUA (>10) and pathologist's (>10%) scores as being positive, there was fair concordancy between AQUA and pathologist scores (73%) and between slides from different blocks from the same cases (75%). However using continuous AQUA scores, agreement between AQUA and pathologist was far lower and between slides from different blocks from the same cases only 19%. Within individual slides there was also significant heterogeneity in a scattered pattern, most notably for slides with the highest AQUA scores. In sum, using a quantitative measure of ER expression, significant block-to-block heterogeneity was found in 81% of cases. These results most likely reflect both laboratory-based variability due to lack of standardization of immunohistochemistry and true biological heterogeneity. It is also likely to be dependent on the biomarker analyzed and suggests further studies should be carried out to determine how these findings may affect clinical decision-making processes.

Quantitative analysis of breast cancer tissue microarrays shows high cox-2 expression is associated with poor outcome.

Epidemiologic and preclinical studies suggest that cyclooxygenase-2 (Cox-2) may promote tumor growth and spread by affecting angiogenesis and apoptosis in breast cancer. Using a tissue microarray (TMA), we analyzed the expression and subcellular localization of Cox-2 by AQUA and X-tile, our algorithms for quantitative analysis of protein expression and determination of optimal cutpoints. Our TMA consisted of 669 Stage I-III primary breast cancers. The total tumor and subcellular expression of Cox-2 were then correlated with clinicopathologic factors and with survival. Cox-2 expression appeared higher in malignant than in benign tissue and was predominantly membrane/cytoplasmic (i.e. non-nuclear). X-tile determines an optimum cutpoint on a training set then uses this cutpoint on a validation set. This cutpoint was 19.3 (top 44 percent defined as positive) with high nonnuclear Cox-2 expressers having significantly worse survival. Cox-2 expression also was inversely associated with estrogen receptor (ER) and progesterone receptor (PR), and directly associated with nuclear grade. Multivariate analysis showed that Cox-2 remained a significant prognostic factor for survival independent of tumor size, nodal status, ER, Her2/neu, and grade. In summary, Cox-2 is overexpressed in breast neoplasms, is associated with other markers of poor prognosis, and is significantly associated with worse survival independent of known prognostic factors. Furthermore, AQUA and X-tile analysis suggest an optimal cutpoint that may be helpful in future investigations of Cox-2 and specifically, in studies looking at its expression as a predictive biomarker in clinical trials of Cox-2 inhibitors in breast cancer.

Vascular endothelial growth factor, FLT-1, and FLK-1 analysis in a pancreatic cancer tissue microarray.

BACKGROUND: Measures of vascular endothelial growth factor (VEGF) expression in pancreatic cancer typically have been qualitative or semiquantitative. The objective of this study was to use a series of algorithms called AQUA that quantitatively assesses protein expression on tissue microarrays (TMAs) to compare in situ expression of VEGF and its primary receptors, VEGF receptor 1 (FLT-1) and VEGF receptor 1 (FLK-1), on a pancreatic cancer TMA. METHODS: TMAs were constructed by arraying 1.5-mm cores from 76 samples of pancreatic adenocarcinoma (1996-2002) that were obtained from the archives of the Yale Department of Pathology. The staining for AQUA was similar to standard immunohistochemistry and involved antigen retrieval and the application of primary antibodies, but with epifluorescence detection. Slides were counterstained with 4',6-diamidino-2-phenylindole for nuclear visualization and cytokeratin for membrane visualization. The primary antibodies used were VEGF, FLT-1, FLK-1, and cytokeratin. RESULTS: Disease stage was highly prognostic for outcome, as expected. Total amounts of VEGF and its receptors were assessed within the tumor mask and were divided into quartiles. Kaplan-Meier survival curves showed that VEGF and FLK-1 were not associated clearly with outcome. However, the expression of FLT-1 was correlated significantly, and the patients who had tumors with the lowest expression FLT-1 levels had the worst survival (P = .0038). In multivariate analysis, FLT-1 expression was an independent prognostic factor for overall survival (P = .0044). CONCLUSIONS: VEGF and its 2 principal receptors were expressed to varying degrees in tumors of the pancreas. A significant association was found between low expression of FLT-1 and both poor prognosis and advanced stage, suggesting that tumor expression of this VEGF receptor is a marker of less aggressive disease.

beta-Catenin and p53 analyses of a breast carcinoma tissue microarray.

BACKGROUND: Aberrant activation of the beta-catenin signaling pathway has been implicated in several malignancies, including breast carcinoma. Recently, it was shown that p53 down-regulated beta-catenin in a complex fashion. The authors examined the expression of beta-catenin, key members of its signaling pathway, and p53 in a large cohort of breast tumors. METHODS: The authors conducted an immunohistochemical analysis of the expression of beta-catenin, upstream modulators (HER-2/neu, Met, and epidermal growth factor receptor [EGFR]), downstream target genes (cyclin D1 and matrix metalloproteinase-7 [MMP7]), and p53 on a tissue microarray of 346 lymph node-negative breast carcinomas. The results were correlated with one another and with standard clinicopathologic parameters. RESULTS: beta-Catenin expression was observed in the membrane and/or cytoplasm without any significant nuclear expression. HER-2/neu and EGFR were observed on the membrane in 21% and 6% of tumors, respectively, and Met stained in a membrane/cytoplasm distribution in 28% of cases. Cyclin D1 was expressed in the nucleus and MMP7 was expressed in the cytoplasm in 26% and 75% of tumors, respectively. Nuclear expression of p53 was noted in 31% of tumors. When each marker was analyzed separately, only p53 and Met demonstrated a significant correlation with survival. However, patients who had tumors that coexpressed high levels of beta-catenin and p53 had markedly worse overall survival (P = 0.0026). In multivariate analysis, only tumor size, Met, and the coexpression of beta-catenin and p53 retained statistical significance. CONCLUSIONS: The current findings support a potential synergistic effect of abnormal beta-catenin regulation and p53 status in the pathogenesis and natural history of lymph node-negative breast carcinoma. Furthermore, the results show that a combined analysis of multiple markers, notably beta-catenin and p53, may enhance the prognostic capabilities compared with individual markers.

Quantitative determination of expression of the prostate cancer protein alpha-methylacyl-CoA racemase using automated quantitative analysis (AQUA): a novel paradigm for automated and continuous biomarker measurements.

Despite years of discovery and attempts at validation, few molecular biomarkers achieve acceptance in the clinical setting. Tissue-based markers evaluated by immunohistochemistry suffer from a high degree of inter- and intraobserver variability. One recent advance in this field that promises to automate this process is the development of AQUA, a molecular-based method of quantitative assessment of protein expression. This system integrates a set of algorithms that allows for the rapid, automated, continuous, and quantitative analysis of tissue samples, including the separation of tumor from stromal elements and the subcellular localization of signals. This study uses the AQUA system to assess a recently described prostate cancer biomarker, alpha-methylacyl-CoA-racemase (AMACR), and to determine the effectiveness of the quantitative measurement of this marker as a means for making the diagnosis of prostate cancer. Using a prostate cancer progression tissue microarray containing a wide range of prostate tissues, AQUA was directly compared to standard immunohistochemical evaluation for AMACR protein expression using the p504s monoclonal antibody. Both methods produced similar results showing AMACR protein expression to be strongest in the clinically localized prostate cancer, followed by the metastatic tumor samples. Benign prostate tissue was categorized as negative for most tissue samples by immunohistochemistry. However, AMACR was detectable using the AQUA system at low levels using the standard 1:25 dilution but also at 1:250 dilution, which is not detectable by light microscopy. The AQUA system was also able to discriminate foamy gland prostate cancers, which are known to have a lower AMACR expression than typical acinar prostate cancers, from benign prostate tissue samples. Finally, a receiver-operating-characteristic curve was plotted to determine the specificity of the AMACR AQUA Z-score (normalized AQUA score) to predict that a given tissue microarray sample contains cancer. The area under the curve was calculated at 0.90 (P < 0.00001; 95% CI, 0.84 to 0.95). At an AMACR AQUA Z-score score of -0.3, 91% of the 70 samples classified as prostate cancer were correctly categorized without the intervention of a pathologist reviewing the tissue microarray slide. In conclusion, the AQUA system provides a continuous measurement of AMACR on a wide range of prostate tissue samples. In the future, the AMACR AQUA Z-score may be useful in the automated screening and evaluation of prostate tissue biomarkers.