Chromosomal copy number alterations and chromosomal rearrangements are frequent mutations in human cancer. Unlike copy number alterations, little is known about the role and occurrence of chromosomal rearrangements in breast cancer. This may be due to the fact that chromosome-based breakpoint analysis is widely restricted to cultured cells. In order to identify gene rearrangements in breast cancer, we studied the chromosomal breakpoints in radiation-transformed epithelial breast cell lines using a high-resolution array-based approach using 1 Mb bacterial artificial chromosome (BAC) arrays. The breakpoints were further narrowed down by fluorescence in situ hybridisation (FISH) with clones from the 32 k BAC library. The analysis of the cell lines B42-11 and B42-16 revealed rearrangements of chromosomes 7, 8, 10 and 12. We identified the genes Has2, Grid1, Ret, Cpm, Tbx3, Tbx5, Tuba1a, Wnt1 and Arf3 within the breakpoint regions. Quantitative RT-PCR showed a deregulated expression of all of these candidate genes except for Tbx5 and Tbx3. This is the first study demonstrating gene rearrangements and their deregulated mRNA expression in radiation-transformed breast cells. Since the gene rearrangements occurred in the transformed and tumourigenic cell lines only, it is likely that these were generated in conjunction with malignant transformation of the epithelial breast cells and therefore might reflect early molecular events in breast carcinogenesis. Initial studies indicate that these gene alterations are also found in sporadic breast cancers.
The aim of this study is to investigate additional genetic alterations in papillary thyroid carcinomas (PTCs) with known RET/PTC rearrangements. We applied array-based comparative genomic hybridization (array CGH) to 33 PTC (20 PTC from adults, 13 post-Chernobyl PTC from children) with known RET/PTC status. Principal component analysis and hierarchical cluster analysis identified cases with similar aberration patterns. Significant deviations between tumour-groups were obtained by statistical testing (Fisher's exact test in combination with Benjamini–Hochberg FDR-controlling procedure). FISH analysis on FFPE sections was applied to validate the array CGH data. Deletions were found more frequently in RET/PTC-positive and RET/PTC-negative tumours than amplifications. Specific aberration signatures were identified that discriminated between RET/PTC-positive and RET/PTC-negative cases (aberrations on chromosomes 1p, 3q, 4p, 7p, 9p/q, 10q, 12q, 13q and 21q). In addition, childhood and adult RET/PTC-positive cases differ significantly for a deletion on the distal part of chromosome 1p. There are additional alterations in RET/PTC-positive tumours, which may act as modifiers of RET activation. In contrast, alterations in RET/PTC-negative tumours indicate alternative routes of tumour development. The data presented serve as a starting point for further studies on gene expression and function of genes identified in this study.
Purpose: To determine the instability of microsatellite sequences in post-Chernobyl thyroid tumours from children and young adults, and to ascertain whether they correlated with the age of the patient at the time of the accident and the tumour latency period. Materials and methods: The stability of 26 microsatellite markers was investigated in 122 radiation-associated thyroid tumours (96 children, 26 adults) from Belarus and 39 spontaneous thyroid tumours (adults) from Munich without radiation history. Results: A significant correlation between patient age at the time of the accident and the instability of microsatellite sequences was established. Also, a high instability of microsatellite sequences was found in 28 early thyroid tumours from Belarus with latency periods of 6-8 years, in contrast to a low instability of microsatellites in 94 tumours emerging 9-11 years after the accident. Microsatellite instability in the reference group from Munich proved similar to the early thyroid tumours from Belarus. Conclusion: Early, fast-growing and aggressive post-Chernobyl thyroid tumours are characterized by an increase in microsatellite instability.