No abstract

cDNA arrays provide a powerful tool to identify gene expression pattern that are potentially associated with tumor invasion and metastasis. However, genes work at the protein level and, since the transcriptional activity of a gene does not necessarily reflect cellular protein expression, the identification and quantification of proteins is essential for the understanding of molecular events leading to malignant transformation. We have therefore employed a high-throughput protein microarray system which contains 378 well-characterized monoclonal antibodies in order to compare the gene expression pattern of malignant and adjacent normal breast tissue in a patient with primary breast cancer. Using this technique, we have identified a number of proteins that show increased expression levels in malignant breast tissues such as casein kinase Ie, p53, annexin XI, CDC25C, eIF-4E and MAP kinase 7. The expression of other proteins, such as the multifunctional regulator 14-3-3e was found to be decreased in malignant breast tissue, whereas the majority of proteins remained unchanged when compared to the corresponding non-malignant samples. The protein expression pattern was confirmed by immunohistochemistry, in which antibodies against 8 representative proteins known to be involved in carcinogenesis were employed in paraffin-embedded normal and malignant tissue sections deriving from the same patient. In each case, the results obtained by IHC matched the data obtained by antibody microarray system. Taken together, we have described for the first time a tumor cell specificity protein expression pattern by use of a novel commercially available antibody microarray system. We have thus demonstrated the feasibility of high-throughput protein arrays in the proteomic analysis of human breast tissue. We hypothesize that the use of protein arrays will not only increase our understanding of the molecular events, but could prove useful in evaluating prognosis and in determining optimal antineoplastic therapy.

Over-expression of members of the ErbB-receptor family has been associated with malignant transformation. The amplification of Her-2/neu in tumor tissue is now an established prognostic factor in breast cancer. In order to initiate signal transduction, ErbB-receptor monomers need to form homo- or heterodimers. The composition of these dimers is thought to influence both quality and quantity of downstream signaling pathways, and to determine the biological response. We have investigated the protein expression pattern of the four ErbB-receptors EGFR, Her-2/neu, Her-3 and Her-4, and correlated it with their putative ligands EGF, TGF-alpha and HRG in 74 women with invasive breast cancer. Using western blot-analysis on cell membrane isolates, we detected the co-expression of all four ErbB-family members in 79.7% of cases, and of all of the three investigated ligands in 82.4%. We did not observe a correlation between EGFR and Her-2/neu or Her-4 protein expression, EGFR and Her-3 (p = 0.005), and Her-3 and Her-4 (p = 0.05) were clearly co-expressed. The strongest overall correlation, was found between Her-2/neu and Her-3 (p < 0.001) and between Her-2/neu and Her-4 (p = 0.001). This was particularly true in nodal-positive tumors (p < 0.001 and p = 0.002) whereas in nodal-negative tumors the co-expression was either less significant (Her-2/neu and Her-3; p = 0.01) or not significant (Her-2/neu and Her-4). The co-expression of EGFR/Her-3 was associated with the expression of all ligands, whereas the Her-2/neu/Her-3 was correlated with HRG (p = 0.002), thereby indicating a functional relation between specific receptor-dimer combinations and putative ligands. Taken together, we have performed the first comprehensive survey of ErbB-system expression in breast cancer, and have demonstrated the presence of a co-regulated receptor/ligand system in vivo. We have further shown that Her-2/neu is the preferred co-expression partner in nodal-positive tumors and thus the most likely dimerization candidate in malignant breast tumors.

No abstract

We found a 100% concordance between the expression of nanobacteria and the presence of psammoma bodies in malignant ovarian tumours. Several lines of evidence suggest the involvement of these organisms in the process of biomineralization. We therefore conclude that nanobacterial infection of malignant ovarian tissue contributes to mechanisms leading to the formation of calcified deposits known as psammoma bodies.