title: Identification of gene signatures for invasive colorectal tumor cells.
abstract: BACKGROUND
  Gene signatures of sporadic colorectal carcinoma tissues and microdissected colorectal tumor cells were analyzed to identify stromal and tumor cell-specific markers, respectively.
  
  
  METHODS
  Serial sections of frozen colorectal tumors (n=29) were subjected to RNA isolation of (1) entire tissue sections with a various tumor cell content and of (2) microdissected invasive tumor cells. Three matching samples of microdissected normal colorectal epithelial and invasive tumor cells were similarly obtained. RNA samples were analyzed using the HG95A and HG95Av2 GeneChip microarrays (Affymetrix). The microarray data was evaluated by established methods and validated by Q-RT-PCR.
  
  
  RESULTS
  Unsupervised hierarchical cluster analysis of 18 sample pairs (training set) clearly distinguished tumors from microdissected tumor cells. A 149-gene signature was identified using statistical methods, which was then validated by a hierarchical clustering analysis of 11 independent sample pairs (test set). Genes specifically associated with microdissected invasive tumor cells were for example CKS2 and NME1. In contrast, genes associated with stromal cells were for example MMP2, SDF1 and FBLN2. Finally, a 65-gene signature distinguished normal colorectal epithelial cells and invasive tumor cells, including down-regulation of BMP2 and ANPEP mRNA expression as well as up-regulation of TKT, SPARC, MCM5 mRNA expression.
  
  
  CONCLUSIONS
  Our approach allowed precise evaluation of molecular signatures in morphologically defined cell populations and identified novel target genes related to stroma-tumor interactions in colorectal cancer. The approach enables further analysis of gene signatures in different tumor areas and cell types, such as within invasive margins to decipher molecular mechanisms of colorectal cancer invasion and metastasis.
authors.affiliation: Institut für Allgemeine Pathologie und Pathologische Anatomie, Klinikum rechts der Isar, Technische Universität München, München, Germany.
authors.forename: Anja H
authors.initials: AH
authors.lastname: Wiese
authors.forename: Johannes
authors.initials: J
authors.lastname: Auer
authors.forename: Silke
authors.initials: S
authors.lastname: Lassmann
authors.forename: Jörg
authors.initials: J
authors.lastname: Nährig
authors.forename: Robert
authors.initials: R
authors.lastname: Rosenberg
authors.forename: Heinz
authors.initials: H
authors.lastname: Höfler
authors.forename: Rüdiger
authors.initials: R
authors.lastname: Rüger
authors.forename: Martin
authors.initials: M
authors.lastname: Werner
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D014408:Biomarkers, Tumor / Q000235:genetics; D015179:Colorectal Neoplasms / Q000235:genetics* / Q000473:pathology*; D005260:Female; D020869:Gene Expression Profiling / Q000379:methods*; D005819:Genetic Markers; D006801:Humans; D008297:Male; D042282:Microdissection; D008875:Middle Aged; D009361:Neoplasm Invasiveness; D020411:Oligonucleotide Array Sequence Analysis; D012334:RNA, Neoplasm / Q000032:analysis*; D046888:Tissue Array Analysis
chemical_list: D014408:Biomarkers, Tumor; D005819:Genetic Markers; D012334:RNA, Neoplasm