Edward Pan | PubMed Health

PubMed2005

Isochromosome 17q is a negative prognostic factor in poor-risk childhood medulloblastoma patients.

BACKGROUND: Medulloblastomas are the most common primary malignant childhood intracranial neoplasms. Patients are currently sorted into three risk groups based on clinical criteria: standard, poor, and infant (<18 months old). We hypothesized that genetic copy number aberrations (CNA) predict prognosis and would provide improved criteria for predicting outcome. METHODS: DNA from 35 medulloblastoma patients from four Children's Cancer Group trials was analyzed by comparative genomic hybridization to determine CNAs. The genetic alterations were evaluated using statistical and cluster analyses. RESULTS: The most frequent CNAs were gains on 17q, 7, 1q, and 7q and losses on 17p, 10q, X, 16q, and 11q. Amplification at 5p15.1-p15.3 was also detected. Isochromosome 17q (i(17)(q10)) was associated with poor overall survival (P = 0.03) and event-free survival (P = 0.04) independent of poor risk group classification. Age <3 tended to be associated with <3 CNAs (P = 0.06). Unsupervised cluster analysis sorted the study patients into four subgroups based on CNAs. Supervised analysis using the program Significance Analysis of Microarrays (SAM) quantitatively validated those CNAs identified by unsupervised clustering that significantly distinguished among the four subgroups. CONCLUSIONS: Medulloblastomas are genetically heterogeneous and can be categorized into separate genetic subgroups by their CNAs using unsupervised cluster analysis and SAM. i(17)(q10) was a significant independent negative prognostic factor. Infant medulloblastomas may be a distinct genetic subset from those of older patients.

Adolescent↗

PubMed2005

Integrated array-comparative genomic hybridization and expression array profiles identify clinically relevant molecular subtypes of glioblastoma.

Glioblastoma, the most aggressive primary brain tumor in humans, exhibits a large degree of molecular heterogeneity. Understanding the molecular pathology of a tumor and its linkage to behavior is an important foundation for developing and evaluating approaches to clinical management. Here we integrate array-comparative genomic hybridization and array-based gene expression profiles to identify relationships between DNA copy number aberrations, gene expression alterations, and survival in 34 patients with glioblastoma. Unsupervised clustering on either profile resulted in similar groups of patients, and groups defined by either method were associated with survival. The high concordance between these separate molecular classifications suggested a strong association between alterations on the DNA and RNA levels. We therefore investigated relationships between DNA copy number and gene expression changes. Loss of chromosome 10, a predominant genetic change, was associated not only with changes in the expression of genes located on chromosome 10 but also with genome-wide differences in gene expression. We found that CHI3L1/YKL-40 was significantly associated with both chromosome 10 copy number loss and poorer survival. Immortalized human astrocytes stably transfected with CHI3L1/YKL-40 exhibited changes in gene expression similar to patterns observed in human tumors and conferred radioresistance and increased invasion in vitro. Taken together, the results indicate that integrating DNA and mRNA-based tumor profiles offers the potential for a clinically relevant classification more robust than either method alone and provides a basis for identifying genes important in glioma pathogenesis.

Adipokines↗