title: Systematic variation in gene expression patterns in human cancer cell lines.
abstract: We used cDNA microarrays to explore the variation in expression of approximately 8,000 unique genes among the 60 cell lines used in the National Cancer Institute's screen for anti-cancer drugs. Classification of the cell lines based solely on the observed patterns of gene expression revealed a correspondence to the ostensible origins of the tumours from which the cell lines were derived. The consistent relationship between the gene expression patterns and the tissue of origin allowed us to recognize outliers whose previous classification appeared incorrect. Specific features of the gene expression patterns appeared to be related to physiological properties of the cell lines, such as their doubling time in culture, drug metabolism or the interferon response. Comparison of gene expression patterns in the cell lines to those observed in normal breast tissue or in breast tumour specimens revealed features of the expression patterns in the tumours that had recognizable counterparts in specific cell lines, reflecting the tumour, stromal and inflammatory components of the tumour tissue. These results provided a novel molecular characterization of this important group of human cell lines and their relationships to tumours in vivo.
authors.affiliation: Department of Biochemistry, Stanford University School of Medicine, Stanford, California, USA.
authors.forename: D T
authors.initials: DT
authors.lastname: Ross
authors.forename: U
authors.initials: U
authors.lastname: Scherf
authors.forename: M B
authors.initials: MB
authors.lastname: Eisen
authors.forename: C M
authors.initials: CM
authors.lastname: Perou
authors.forename: C
authors.initials: C
authors.lastname: Rees
authors.forename: P
authors.initials: P
authors.lastname: Spellman
authors.forename: V
authors.initials: V
authors.lastname: Iyer
authors.forename: S S
authors.initials: SS
authors.lastname: Jeffrey
authors.forename: M
authors.initials: M
authors.lastname: Van de Rijn
authors.forename: M
authors.initials: M
authors.lastname: Waltham
authors.forename: A
authors.initials: A
authors.lastname: Pergamenschikov
authors.forename: J C
authors.initials: JC
authors.lastname: Lee
authors.forename: D
authors.initials: D
authors.lastname: Lashkari
authors.forename: D
authors.initials: D
authors.lastname: Shalon
authors.forename: T G
authors.initials: TG
authors.lastname: Myers
authors.forename: J N
authors.initials: JN
authors.lastname: Weinstein
authors.forename: D
authors.initials: D
authors.lastname: Botstein
authors.forename: P O
authors.initials: PO
authors.lastname: Brown
mesh_terms: D001940:Breast / Q000378:metabolism; D001943:Breast Neoplasms / Q000235:genetics / Q000378:metabolism / Q000473:pathology; D016000:Cluster Analysis; D018076:DNA, Complementary / Q000235:genetics; D020224:Expressed Sequence Tags; D005260:Female; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D007938:Leukemia / Q000235:genetics / Q000378:metabolism / Q000473:pathology; D009363:Neoplasm Proteins / Q000096:biosynthesis / Q000235:genetics; D009369:Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000473:pathology; D020411:Oligonucleotide Array Sequence Analysis; D009928:Organ Specificity; D014407:Tumor Cells, Cultured / Q000145:classification / Q000187:drug effects / Q000378:metabolism*
chemical_list: D018076:DNA, Complementary; D009363:Neoplasm Proteins