Geburtshilfe Frauenheilkd 2008; 68 - PO_Onko_01_50
DOI: 10.1055/s-0028-1088848

Gene expression relations reveal tumour specific patterns

C Schem 1, L Dittmann 2, K Bräutigam 2, F Hilpert 2, I Meinhold-Heerlein 3, J Weimer 2
  • 1Universitätsfrauenklinik Kiel, UK-SH, Campus Kiel, Kiel
  • 2Universitätsklinikum Schleswig-Holstein, Campus Kiel, Klinik Gynäkologie u. Geburtshilfe, Kiel
  • 3Klinik für Gynäkologie und Geburtshilfe, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Kiel

Objective:

Often not single but multiple genes are indicative for a certain cancer diseases. Various multi-genes are under review of their validity in making a decision for effective treatment, like the increased expression of Aurora kinases in many solid cancers. In this study we take their relative expression to other genes as an additional dimension of relative expression into account. CDK2, Repp86, Aurora-kinase-A and -B are involved in the development of spindles, segregation of chromosomes and in the control of the mitotic cell division.

Methods:

We compared the gene expressions related to Repp86 in 11 normal and 43 tumour tissue of breast, 12 normal and 18 tumour tissues of ovary by RT-PCR and 9 normal and 51 tumour tissue of ovary and 53 tumour tissues by IHC.

Results:

RT-PCR analysis reveal identical, reproducible relative expression pattern in the tumour entities. This could be partly confirmed by IHC but not complete. In general, the expression of Aurora A corresponds to the same level as Repp 86 in normal tissue, whereas in tumors its level decreases relative to Repp86, confirmed by IHC. The expression of CDK2 is higher in relation to Repp86 in normal ovarian and breast tissue. In tumor tissues its expression is clearly under the one of Repp86, not confirmed by IHC. The expression of Aurora-kinase-A is not significant different to that of Repp86.

Conclusion:

Thus, relative gene expression pattern can differentiate tumour from normal breast and ovarian cancer specimens. In order to develop appreciation of genetic interactions in carcinogenesis, gene expression data should also be analysed into relations by RT-PCR.