Genomics

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Quantification of Normal Cell Fraction and Copy Number Neutral LOH in Clinical Lung Cancer Samples Using SNP Array Data


ABSTRACT: Technologies based on DNA microarrays have the potential to provide detailed information on genomic aberrations in tumor cells. In practice a major obstacle for quantitative detection of aberrations is the heterogeneity of clinical tumor tissue. Tumor tissue consists of a mixture of tumor cells and normal cells, including inflammatory and stromal cells, which may lead to a failure to detect aberrations in the tumor cells. Principal finding: Using SNP array data from 43 non-small cell lung cancer samples we have developed a bioinformatic algorithm that accurately models the fractions of normal and tumor cells in clinical tumor samples.

ORGANISM(S): Homo sapiens

PROVIDER: GSE16092 | GEO | 2009/08/11

SECONDARY ACCESSION(S): PRJNA115457

REPOSITORIES: GEO

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