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Published on: January 28, 2014
Combined classical cytogenetics and microarray-based genomic copy number analysis reveal frequent 3;5 rearrangements
Jianming Pei1, Madelyn M Feder, Tahseen Al-Saleem
1Cancer Biology Program, Fox Chase Cancer Center, Philadelphia, PA 19111, USA.
Abstract:
Karyotypic analysis and genomic copy number analysis with single nucleotide polymorphism (SNP)-based microarrays were compared with regard to the detection of recurrent genomic imbalances in 20 clear cell renal cell carcinomas (ccRCCs). Genomic imbalances were identified in 19 of 20 tumors by DNA copy number analysis and in 15 tumors by classical cytogenetics. A statistically significant correlation was observed between the number of genomic imbalances and tumor stage. The most common genomic imbalances were loss of 3p and gain of 5q. Other recurrent genomic imbalances seen in at least 15% of tumors included losses of 1p32.3-p33, 6q23.1-qter and 14q and gain of chromosome 7. The SNP-based arrays revealed losses of 3p in 16 of 20 tumors, with the highest frequency being at 3p21.31-p22.1 and 3p24.3-p25.3, the latter encompassing the VHL locus. One other tumor showed uniparental disomy of chromosome 3. Thus, altogether loss of 3p was identified in 17 of 20 (85%) cases. Fourteen tumors showed both overlapping losses of 3p and overlapping gains of 5q, and the karyotypic assessment performed in parallel revealed that these imbalances arose via unbalanced 3;5 translocations. Among the latter, there were common regions of loss at 3p21.3-pter and gain at 5q34-qter. These data suggest that DNA copy number analysis will supplant karyotypic analysis of tumor types such as ccRCC that are characterized by recurrent genomic imbalances, rather than balanced rearrangements. These findings also suggest that the 5q duplication/3p deficiency resulting from unbalanced 3;5 translocations conveys a proliferative advantage of particular importance in ccRCC tumorigenesis.
Insights
Genomic copy number analysis is superior to karyotyping for detecting genetic changes in clear cell renal cell carcinoma (ccRCC). This method identified more genomic imbalances, particularly 3p loss and 5q gain, crucial for ccRCC development.
Area of Science:
- Oncology
- Genetics
- Genomics
Background:
- Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancer.
- Recurrent genomic imbalances are hallmarks of ccRCC tumorigenesis.
- Accurate detection of these imbalances is critical for understanding disease progression.
Purpose of the Study:
- To compare the efficacy of karyotypic analysis and single nucleotide polymorphism (SNP)-based array comparative genomic hybridization (aCGH) for detecting genomic imbalances in ccRCC.
- To identify common and recurrent genomic alterations in ccRCC.
- To correlate genomic imbalances with tumor stage.
Main Methods:
- Karyotypic analysis was performed on 20 ccRCC tumors.
- SNP-based microarray analysis was used for genomic copy number analysis.
- Statistical analysis was employed to correlate genomic imbalances with tumor stage.
Main Results:
- Genomic imbalances were detected in 19 of 20 tumors by DNA copy number analysis, versus 15 by karyotyping.
- Loss of 3p and gain of 5q were the most frequent genomic imbalances.
- Loss of 3p was observed in 85% of cases, often encompassing the VHL locus.
- Unbalanced 3;5 translocations, leading to 3p deficiency and 5q gain, were identified in 14 tumors.
- A significant correlation was found between the number of genomic imbalances and tumor stage.
Conclusions:
- SNP-based DNA copy number analysis is a more sensitive method than karyotyping for detecting genomic imbalances in ccRCC.
- Recurrent genomic alterations, particularly 3p loss and 5q gain resulting from unbalanced translocations, play a significant role in ccRCC tumorigenesis.
- These findings suggest that DNA copy number analysis should supplant karyotyping for ccRCC characterization.
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