Title | Genome-wide loss of heterozygosity analysis from laser capture microdissected prostate cancer using single nucleotide polymorphic allele (SNP) arrays and a novel bioinformatics platform dChipSNP. |
Publication Type | Journal Article |
Year of Publication | 2003 |
Authors | Lieberfarb ME, Lin M, Lechpammer M, Li C, Tanenbaum DM, Febbo PG, Wright RL, Shim J, Kantoff PW, Loda M, Meyerson M, Sellers WR |
Journal | Cancer Res |
Volume | 63 |
Issue | 16 |
Pagination | 4781-5 |
Date Published | 2003 Aug 15 |
ISSN | 0008-5472 |
Keywords | Alleles, Computational Biology, DNA, Neoplasm, Humans, Loss of Heterozygosity, Male, Polymorphism, Single Nucleotide, Prostatic Neoplasms |
Abstract | Oligonucleotide arrays that detect single nucleotide polymorphisms were used to generate genome-wide loss of heterozygosity (LOH) maps from laser capture microdissected paraffin-embedded samples using as little as 5 ng of DNA. The allele detection rate from such samples was comparable with that obtained with standard amounts of DNA prepared from frozen tissues. A novel informatics platform, dChipSNP, was used to automate the definition of statistically valid regions of LOH, assign LOH genotypes to prostate cancer samples, and organize by hierarchical clustering prostate cancers based on the pattern of LOH. This organizational strategy revealed apparently distinct genetic subsets of prostate cancer. |
Alternate Journal | Cancer Res |
PubMed ID | 12941794 |
Grant List | P50CA09038 / CA / NCI NIH HHS / United States U01CA84995 / CA / NCI NIH HHS / United States |
Related Faculty:
Massimo Loda, M.D.