Allelic losses of chromosome 10 in glioma tissues detected by quantitative single-strand conformation polymorphism analysis

Nobuhiro Hata, Koji Yoshimoto, Nobuhiko Yokoyama, Masahiro Mizoguchi, Tadahisa Shono, Yanlei Guan, Tomoko Tahira, Yoji Kukita, Koichiro Higasa, Shinji Nagata, Toru Iwaki, Tomio Sasaki, Kenshi Hayashi

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)


Background: Detection of loss of heterozygosity (LOH) in clinical tissue samples is frequently difficult because samples are usually contaminated with noncancerous cells or because tumor cells in single tissues have genetic heterogeneity, and the precision of available techniques is insufficient for reliable analysis in such materials. We hypothesized that single-strand conformation polymorphism (SSGP) analysis can precisely quantify the gene dosage in mixed samples and is suitable for detection of LOH in clinical tissue samples. Methods: We assessed the accuracy of a fluorescent SSCP method for the quantification of single-nucleotide polymorphism (SNP) alleles, using DNAs that were composed of cancerous DNA mixed with noncancerous DNA at various ratios. We applied this method to precisely characterize LOH in glioma tissue samples, using 96 SNPs that were evenly distributed throughout chromosome 10. Results: LOH could be detected even in the cancerous DNA heavily contaminated (up to 80%) with noncancerous DNA. Using this method, we obtained LOH profiles of 56 gliomas with resolutiqn at the SNP level (i.e., 1.5-Mbp interval). Anaplastic astrocytomas exhibited both 10p and 10q LOH, whereas diffuse astrocytomas frequently (63% of the cases) exhibited loss of 10p alone. We also found a possible new LOH region (around 10p13) in gliomas. Conclusions: The present method is effective for precise mapping of LOH region in surgically obtained tumor tissues and could be applicable to the genetic diagnosis of cancers other than gliomas.

Original languageEnglish
Pages (from-to)370-378
Number of pages9
JournalClinical Chemistry
Issue number3
Publication statusPublished - Mar 2006

All Science Journal Classification (ASJC) codes

  • General Medicine


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