title: Distinctions in gastric cancer gene expression signatures derived from laser capture microdissection versus histologic macrodissection.
abstract: BACKGROUND
  Gastric cancer samples obtained by histologic macrodissection contain a relatively high stromal content that may significantly influence gene expression profiles. Differences between the gene expression signature derived from macrodissected gastric cancer samples and the signature obtained from isolated gastric cancer epithelial cells from the same biopsies using laser-capture microdissection (LCM) were evaluated for their potential experimental biases.
  
  
  METHODS
  RNA was isolated from frozen tissue samples of gastric cancer biopsies from 20 patients using both histologic macrodissection and LCM techniques. RNA from LCM was subject to an additional round of T7 RNA amplification. Expression profiling was performed using Affymetrix HG-U133A arrays. Genes identified in the expression signatures from each tissue processing method were compared to the set of genes contained within chromosomal regions found to harbor copy number aberrations in the tumor samples by array CGH and to proteins previously identified as being overexpressed in gastric cancer.
  
  
  RESULTS
  Genes shown to have increased copy number in gastric cancer were also found to be overexpressed in samples obtained by macrodissection (LS P value < 10(-5)), but not in array data generated using microdissection. A set of 58 previously identified genes overexpressed in gastric cancer was also enriched in the gene signature identified by macrodissection (LS P < 10(-5)), but not in the signature identified by microdissection (LS P = 0.013). In contrast, 66 genes previously reported to be underexpressed in gastric cancer were enriched in the gene signature identified by microdissection (LS P < 10-5), but not in the signature identified by macrodissection (LS P = 0.89).
  
  
  CONCLUSIONS
  The tumor sampling technique biases the microarray results. LCM may be a more sensitive collection and processing method for the identification of potential tumor suppressor gene candidates in gastric cancer using expression profiling.
authors.affiliation: National Cancer Institute, Bethesda, MD 20892, USA.
authors.forename: Hark Kyun
authors.initials: HK
authors.lastname: Kim
authors.forename: Joseph
authors.initials: J
authors.lastname: Kim
authors.forename: Susie
authors.initials: S
authors.lastname: Korolevich
authors.forename: Il Ju
authors.initials: IJ
authors.lastname: Choi
authors.forename: Chang Hee
authors.initials: CH
authors.lastname: Kim
authors.forename: David J
authors.initials: DJ
authors.lastname: Munroe
authors.forename: Jeffrey E
authors.initials: JE
authors.lastname: Green
mesh_terms: D055028:Comparative Genomic Hybridization; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D007834:Lasers; D042282:Microdissection / Q000379:methods*; D012333:RNA, Messenger / Q000378:metabolism; D013274:Stomach Neoplasms / Q000235:genetics* / Q000473:pathology
chemical_list: D012333:RNA, Messenger