Integrated analysis of copy number alterations and loss of heterozygosity in human pancreatic cancer using a high-resolution, single nucleotide polymorphism array

Lian Jie Lin, Yoshinari Asaoka, Motohisa Tada, Masashi Sanada, Yasuhito Nannya, Yasuo Tanaka, Keisuke Tateishi, Miki Ohta, Motoko Seto, Naoki Sasahira, Minoru Tada, Takao Kawabe, Chang Qing Zheng, Fumihiko Kanai, Seishi Ogawa, Masao Omata

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Objective: To chart molecular genetic events in pancreatic cancer. Methods: We analyzed genome-wide copy number alterations and loss of heterozygosity (LOH) in 25 established pancreatic cancer cell lines using a high-density single nucleotide polymorphism (SNP) array. We verified the data using genomic PCR and applied them to clinical samples. Results: Twenty-six homozygous deletion regions were detected in at least 1 cell line and LOH was found at 9p, 18q, 17p, 8p, 13q, 6q, 3p, 6p, 22q, 9q and 12q with high frequency (>50%), consistent with a previous study. Moreover, we found 23 amplified regions in at least 2 cell lines, including 8 unreported loci. We then examined representative genes at the 8 amplified loci in matched pairs of pancreatic cancer and normal tissues. The amplification was detected in 1 (7.1%) to 5 (35.7%) of 14 microdissected tissue specimens. Conclusion: Using high-resolution SNP arrays, we studied genome-wide copy number alterations and LOH simultaneously. We identified several novel and minute genomic amplifications, which contained candidate oncogenes in human pancreatic cancers.

Original languageEnglish
Pages (from-to)102-112
Number of pages11
JournalOncology
Volume75
Issue number1-2
DOIs
StatePublished - Sep 2008
Externally publishedYes

Keywords

  • Gene amplification
  • Homozygous deletion
  • Loss of heterozygosity
  • Pancreatic cancer
  • Single nucleotide polymorphism array

Fingerprint

Dive into the research topics of 'Integrated analysis of copy number alterations and loss of heterozygosity in human pancreatic cancer using a high-resolution, single nucleotide polymorphism array'. Together they form a unique fingerprint.

Cite this