gms | German Medical Science

27. Deutscher Krebskongress

Deutsche Krebsgesellschaft e. V.

22. - 26.03.2006, Berlin

Expression analysis of 41 genes identifies a number of novel prognostic markers in Wilms tumors

Meeting Abstract

  • corresponding author presenting/speaker Stefanie Wittmann - Physiologische Chemie I, Biozentrum, Würzburg, Deutschland
  • Birgit Zirn - Physiologische Chemie I, Biozentrum, Würzburg
  • Barbara Klamt - Physiologische Chemie I, Biozentrum, Würzburg
  • Norbert Graf - Pädiatrische Onkologie und Hämatologie, Homburg/Saar
  • Manfred Gessler - Physiologische Chemie I, Biozentrum, Würzburg

27. Deutscher Krebskongress. Berlin, 22.-26.03.2006. Düsseldorf, Köln: German Medical Science; 2006. DocPE313

Die elektronische Version dieses Artikels ist vollständig und ist verfügbar unter: http://www.egms.de/de/meetings/dkk2006/06dkk423.shtml

Veröffentlicht: 20. März 2006

© 2006 Wittmann et al.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielfältigt, verbreitet und öffentlich zugänglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

Text

Wilms tumors arise in one of 10,000 life births with the highest incidence before the age of five, which make them the most common malignant kidney tumor in childhood. Although current treatment protocols achieve cure rates of about 90%, balancing the side-effects of therapy against relapse risk remains challenging. Therefore, new prognostic markers could help to select the optimal amount of therapy for each patient and thus reduce side effects without increasing the risk for later relapse. On the other hand this may help to identify those children that would benefit from even more aggressive therapeutic strategies. Since numerous studies correlated expression differences of individual genes with higher relapse risk or death rate in Wilms tumors in the last years, we reinvestigated those genes with quantitative RT-PCR in a large set of 130 Wilms tumors. Comparing data from our much larger series of tumors with those from prior investigations, we could substantiate only some of the previously reported associations. In our series of 130 tumors and 41 genes we found significant expression differences for several clinical parameters, most notably relapse and death. ABCC1, BCL2, CD44_v5, HEY2 and TRIM22 were downregulated, whereas ID4, MYCN, TERT as well as TOP2a were upregulated in tumors that later relapsed. Similarly, HEY2 and TRIM22 were downregulated and ID4 and MYCN were upregulated in tumors with fatal outcome. Interestingly, expression differences of HEY2 and TRIM22 were always highly significant (p-value << 0.01). Our results identify a set of genes that may facilitate further classification of Wilms tumors and improve prediction of outcome to adjust subsequent treatment.