Literature DB >> 15325087

Dissecting karyotypic patterns in renal cell carcinoma: an analysis of the accumulated cytogenetic data.

Mattias Höglund1, David Gisselsson, Maria Soller, Gunnar B Hansen, Peter Elfving, Felix Mitelman.   

Abstract

Renal cell carcinoma (RCC) is one of the most frequent malignancies in Western societies. The most common subtypes are conventional (clear-cell) and papillary carcinomas, which account for about 75 and 10% of cases, respectively. Cytogenetically, conventional RCC is the best-studied subtype and is characterized by chromosomal losses: loss of the short arm of chromosome 3 being the most common. Papillary tumors frequently show gains of chromosomes 7 and 17, and the more progressed forms have, in addition, gains of chromosomes 16, 12, and 20. In the present investigation we used 796 RCC karyotypes to identify the most frequent genomic imbalances. Tumor cases were then classified with respect to the presence or absence of these imbalances and statistically analyzed to assess the order of appearance of chromosomal imbalances, as well as possible karyotypic pathways and cytogenetic subtypes. We established a temporal order by which the different imbalances occur and showed that at least two cytogenetic pathways exist in RCC, one hypodiploid characterized by presence of 3p- and one hyperdiploid characterized by the presence of +7. The data suggest that conventional-type tumors predominantly evolve through the hypodiploid pathway but that an alternative route may be by hyperdiploidy if 3p- is present. Tumors with a papillary growth pattern predominantly progress through the hyperdiploid pathway. The analyses also revealed three possible cytogenetic subtypes of the papillary tumors, one characterized by the presence of +10, a second by +17 and +3q, and a third by +16, +20, and +12.

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Year:  2004        PMID: 15325087     DOI: 10.1016/j.cancergencyto.2003.12.019

Source DB:  PubMed          Journal:  Cancer Genet Cytogenet        ISSN: 0165-4608


  8 in total

1.  Renal cell carcinoma with mixed features of papillary and clear cell cytomorphology: a fluorescent in situ hybridization study.

Authors:  Kien T Mai; Hamidreza Faraji; Darren Desantis; Susan J Robertson; Eric C Belanger; Joelle Levac
Journal:  Virchows Arch       Date:  2009-12-22       Impact factor: 4.064

2.  Learning oncogenetic networks by reducing to mixed integer linear programming.

Authors:  Hossein Shahrabi Farahani; Jens Lagergren
Journal:  PLoS One       Date:  2013-06-14       Impact factor: 3.240

3.  Renal cell carcinoma primary cultures maintain genomic and phenotypic profile of parental tumor tissues.

Authors:  Ingrid Cifola; Cristina Bianchi; Eleonora Mangano; Silvia Bombelli; Fabio Frascati; Ester Fasoli; Stefano Ferrero; Vitalba Di Stefano; Maria A Zipeto; Fulvio Magni; Stefano Signorini; Cristina Battaglia; Roberto A Perego
Journal:  BMC Cancer       Date:  2011-06-13       Impact factor: 4.430

4.  Stratification of clear cell renal cell carcinoma (ccRCC) genomes by gene-directed copy number alteration (CNA) analysis.

Authors:  H-J Thiesen; F Steinbeck; M Maruschke; D Koczan; B Ziems; O W Hakenberg
Journal:  PLoS One       Date:  2017-05-09       Impact factor: 3.240

5.  Genome-wide screening of copy number alterations and LOH events in renal cell carcinomas and integration with gene expression profile.

Authors:  Ingrid Cifola; Roberta Spinelli; Luca Beltrame; Clelia Peano; Ester Fasoli; Stefano Ferrero; Silvano Bosari; Stefano Signorini; Francesco Rocco; Roberto Perego; Vanessa Proserpio; Francesca Raimondo; Paolo Mocarelli; Cristina Battaglia
Journal:  Mol Cancer       Date:  2008-01-14       Impact factor: 27.401

6.  Genomic imbalances in 5918 malignant epithelial tumors: an explorative meta-analysis of chromosomal CGH data.

Authors:  Michael Baudis
Journal:  BMC Cancer       Date:  2007-12-18       Impact factor: 4.430

7.  Quantifying cancer progression with conjunctive Bayesian networks.

Authors:  Moritz Gerstung; Michael Baudis; Holger Moch; Niko Beerenwinkel
Journal:  Bioinformatics       Date:  2009-08-19       Impact factor: 6.937

8.  Tumor heterogeneity as a rationale for a multi-epitope approach in an autologous renal cell cancer tumor vaccine.

Authors:  Stefan Wittke; Susann Baxmann; Dirk Fahlenkamp; Stephan T Kiessig
Journal:  Onco Targets Ther       Date:  2016-01-27       Impact factor: 4.147

  8 in total

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