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Deriving evolutionary tree models of the oncogenesis of endometrial adenocarcinoma
Högskolan i Skövde, Institutionen för kommunikation och information.
CMB-Genetics, Lundberg Laboratory, Göteborg University, Göteborg, Sweden.
CMB-Genetics, Lundberg Laboratory, Göteborg University, Göteborg, Sweden.
Högskolan i Skövde, Institutionen för kommunikation och information.
Vise andre og tillknytning
2007 (engelsk)Inngår i: International Journal of Cancer, ISSN 0020-7136, E-ISSN 1097-0215, Vol. 120, nr 2, s. 292-296Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Endometrial adenocarcinoma (EAC) is the fourth leading cause of cancer death in women worldwide, but not much is known about the underlying genetic factors involved in the development of this complex disease. In the present work, we used 3 different algorithms to derive tree models of EAC oncogenesis from data on the frequencies of genomic alterations in rat chromosome 10 (RNO10). The tumor material was derived from progenies of crosses between the EAC susceptible BDII inbred rat strain and two non susceptible inbred rat strains. Data from allelic imbalance scans of RNO10 with microsatellite markers on solid tumor material and corresponding tissue cultures were used. For the analysis, RNO10 was divided into 24 segments containing a total of 59 informative microsatellite markers. The derived tree models show that genomic alterations have occurred in 11 of the 24 segments. In addition, the models provide information about the likely order of the alterations as well as their relationship with each other. Interestingly, there was a high degree of consistency among the different tree models and with the results of previous-studies, which supports the reliability of the tree models. Our results may be extended into a general approach for tree modeling of whole genome alterations during oncogenesis. (c) 2006 Wiley-Liss, Inc.

sted, utgiver, år, opplag, sider
John Wiley & Sons, 2007. Vol. 120, nr 2, s. 292-296
Emneord [en]
oncogenesis, microsatellite markers, endometrial adenocarcinoma, tree model, allelic imbalance
Identifikatorer
URN: urn:nbn:se:his:diva-6897DOI: 10.1002/ijc.22165ISI: 000242868800010PubMedID: 17066454Scopus ID: 2-s2.0-33845632929OAI: oai:DiVA.org:his-6897DiVA, id: diva2:575183
Tilgjengelig fra: 2012-12-07 Laget: 2012-12-07 Sist oppdatert: 2017-12-07bibliografisk kontrollert

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