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Sandy Devries

Publications and source records attributed to Sandy Devries.

5 recordsLinked to original sources

Breast tumor copy number aberration phenotypes and genomic instability.

BACKGROUND: Genomic DNA copy number aberrations are frequent in solid tumors, although the underlying causes of chromosomal instability in tumors remain obscure. Genes likely to have genomic instability phenotypes when mutated (e.g. those involved in mitosis, replication, repair, and telomeres) are rarely mutated in chromosomally unstable sporadic tumors, even though such mutations are associated with some heritable cancer prone syndromes. METHODS: We applied array comparative genomic hybridization (CGH) to the analysis of breast tumors. The variation in the levels of genomic instability amongst tumors prompted us to investigate whether alterations in processes/genes involved in maintenance and/or manipulation of the genome were associated with particular types of genomic instability. RESULTS: We discriminated three breast tumor subtypes based on genomic DNA copy number alterations. The subtypes varied with respect to level of genomic instability. We find that shorter telomeres and altered telomere related gene expression are associated with amplification, implicating telomere attrition as a promoter of this type of aberration in breast cancer. On the other hand, the numbers of chromosomal alterations, particularly low level changes, are associated with altered expression of genes in other functional classes (mitosis, cell cycle, DNA replication and repair). Further, although loss of function instability phenotypes have been demonstrated for many of the genes in model systems, we observed enhanced expression of most genes in tumors, indicating that over expression, rather than deficiency underlies instability. CONCLUSION: Many of the genes associated with higher frequency of copy number aberrations are direct targets of E2F, supporting the hypothesis that deregulation of the Rb pathway is a major contributor to chromosomal instability in breast tumors. These observations are consistent with failure to find mutations in sporadic tumors in genes that have roles in maintenance or manipulation of the genome.

Adult↗

Bladder cancer outcome and subtype classification by gene expression.

Models of bladder tumor progression have suggested that genetic alterations may determine both phenotype and clinical course. We have applied expression microarray analysis to a divergent set of bladder tumors to further elucidate the course of disease progression and to classify tumors into more homogeneous and clinically relevant subgroups. cDNA microarrays containing 10,368 human gene elements were used to characterize the global gene expression patterns in 80 bladder tumors, 9 bladder cancer cell lines, and 3 normal bladder samples. Robust statistical approaches accounting for the multiple testing problem were used to identify differentially expressed genes. Unsupervised hierarchical clustering successfully separated the samples into two subgroups containing superficial (pT(a) and pT(1)) versus muscle-invasive (pT(2)-pT(4)) tumors. Supervised classification had a 90.5% success rate separating superficial from muscle-invasive tumors based on a limited subset of genes. Tumors could also be classified into transitional versus squamous subtypes (89% success rate) and good versus bad prognosis (78% success rate). The performance of our stage classifiers was confirmed in silico using data from an independent tumor set. Validation of differential expression was done using immunohistochemistry on tissue microarrays for cathepsin E, cyclin A2, and parathyroid hormone-related protein. Genes driving the separation between tumor subsets may prove to be important biomarkers for bladder cancer development and progression and eventually candidates for therapeutic targeting.

Aged↗

Array-based comparative genomic hybridization from formalin-fixed, paraffin-embedded breast tumors.

Identification of prognostic and predictive genomic markers requires long-term clinical follow-up of patients. Extraction of high-quality DNA from archived formalin-fixed, paraffin-embedded material is essential for such studies. Of particular importance is a robust reproducible method of whole genome amplification for small tissue samples. This is especially true for high-resolution analytical approaches because different genomic regions and sequences may amplify differentially. We have tested a number of protocols for DNA amplification for array-based comparative genomic hybridization (CGH), in which relative copy number of the entire genome is measured at 1 to 2 mb resolution. Both random-primed amplification and degenerate oligonucleotide-primed amplification approaches were tested using varying amounts of fresh and paraffin-extracted normal and breast tumor input DNAs. We found that random-primed amplification was clearly superior to degenerate oligonucleotide-primed amplification for array-based CGH. The best quality and reproducibility strongly depended on accurate determination of the amount of input DNA using a quantitative polymerase chain reaction-based method. Reproducible and high-quality results were attained using 50 ng of input DNA, and some samples yielded quality results with as little as 5 ng input DNA. We conclude that random-primed amplification of DNA isolated from paraffin sections is a robust and reproducible approach for array-based CGH analysis of archival tumor samples.

Breast Neoplasms↗

Array-based comparative genomic hybridization of ductal carcinoma in situ and synchronous invasive lobular cancer.

It has been increasingly recognized that ductal carcinoma in situ (DCIS), lobular carcinoma in situ (LCIS) and invasive cancer of the breast are often closely associated with one another. However, the genomic relationship between these histologically distinct entities has not been well characterized. Refinements in high-resolution comparative genomic hybridization (CGH) techniques allow for a detailed comparison of genomic alterations in synchronously occurring tumors. The following case illustrates how array CGH may be used to better understand whether synchronous neoplasms share a common origin.

Breast Neoplasms↗

Invasive micropapillary carcinoma of the breast is associated with chromosome 8 abnormalities detected by comparative genomic hybridization.

Invasive micropapillary carcinoma (IMC) of the breast is a rare variant of invasive ductal carcinoma (IDC) characterized by unique histology and an extremely high incidence of lymph node metastases (approximately 95%). Comparative genomic hybridization (CGH) was used to characterize DNA extracted from 16 archival IMC cases to identify clonal genetic changes associated with this unique and highly metastatic cancer subtype. The average number of chromosomal alterations per IMC tumor was 7.4 +/-2.9 (3.4 gains and 3.9 losses), fewer than the number that we have observed in IDCs not otherwise specified (9.5 +/-6.6), IDCs with erbB-2 gene amplification (12.6 +/-5.9), and invasive lobular carcinomas (8.2 +/-5.5). The mean number of changes in IMC was significantly higher than we have observed in the rarely metastasizing tubular subtype of IDC (3.9 +/-2.3, P = 0.001), but less than the more aggressive subset of erbB-2-amplified IDC (P = 0.02). Remarkably, 100% of IMCs demonstrated loss involving the short arm of chromosome 8 (8p). Six cases showed loss of the entire 8p arm, whereas in 10 cases the loss was limited to the distal portion (8p21-pter) with localized gain of proximal 8p (8p11-p12). A reciprocal gain of 8q was detected in 14 cases (88%). Other common alterations included loss of 17p in 50% of tumors and loss of 16q in 50% of IMC cases. Gains of 17q (38%), 1q (31%), and 16p (25%) were also commonly detected. In comparison, IDCs (not otherwise specified), IDCs of the tubular subtype, and invasive lobular carcinomas showed only modest 8p loss (33%, 28%, and 13%, respectively). This region of chromosome 8 may contain 1 or more genes whose loss leads to this particular histology and/or the lymphotrophic phenotype associated with this histopathologic pattern.

Breast Neoplasms↗