title: Expression profiling of microdissected matched prostate cancer samples reveals CD166/MEMD and CD24 as new prognostic markers for patient survival.
abstract: In order to screen for differentially expressed genes that might be useful in diagnosis or therapy of prostate cancer we have used a custom made Affymetrix GeneChip containing 3950 cDNA fragments. Expression profiles were obtained from 42 matched pairs of mRNAs isolated from microdissected malignant and benign prostate tissues. Applying three different bioinformatic approaches to define differential gene expression, we found 277 differentially expressed genes, of which 98 were identified by all three methods. Fourteen per cent of these genes were not found in other expression studies, which were based on bulk tissue. Resultant candidate genes were further validated by quantitative RT-PCR, mRNA in situ hybridization and immunohistochemistry. AGR2 was over-expressed in 89% of prostate carcinomas, but did not have prognostic significance. Immunohistologically detected over-expression of MEMD and CD24 was identified in 86% and 38.5% of prostate carcinomas respectively, and both were predictive of PSA relapse. Combined marker analysis using MEMD and CD24 expression proved to be an independent prognostic factor (RR = 4.7, p = 0.006) in a Cox regression model, and was also superior to conventional markers. This combination of molecular markers thus appears to allow improved prediction of patient prognosis, but should be validated in larger studies.
authors.affiliation: Institute of Pathology, Charité University Hospital, Berlin, Germany. glen.kristiansen@charite.de
authors.forename: Glen
authors.initials: G
authors.lastname: Kristiansen
authors.forename: Christian
authors.initials: C
authors.lastname: Pilarsky
authors.forename: Christoph
authors.initials: C
authors.lastname: Wissmann
authors.forename: Simone
authors.initials: S
authors.lastname: Kaiser
authors.forename: Thomas
authors.initials: T
authors.lastname: Bruemmendorf
authors.forename: Stefan
authors.initials: S
authors.lastname: Roepcke
authors.forename: Edgar
authors.initials: E
authors.lastname: Dahl
authors.forename: Bernd
authors.initials: B
authors.lastname: Hinzmann
authors.forename: Thomas
authors.initials: T
authors.lastname: Specht
authors.forename: Janja
authors.initials: J
authors.lastname: Pervan
authors.forename: Carsten
authors.initials: C
authors.lastname: Stephan
authors.forename: Stefan
authors.initials: S
authors.lastname: Loening
authors.forename: Manfred
authors.initials: M
authors.lastname: Dietel
authors.forename: André
authors.initials: A
authors.lastname: Rosenthal
mesh_terms: D020410:Activated-Leukocyte Cell Adhesion Molecule / Q000235:genetics / Q000378:metabolism*; D015703:Antigens, CD / Q000235:genetics / Q000378:metabolism*; D014408:Biomarkers, Tumor / Q000235:genetics / Q000378:metabolism*; D051927:CD24 Antigen; D016000:Cluster Analysis; D015870:Gene Expression; D020869:Gene Expression Profiling; D006801:Humans; D008297:Male; D008562:Membrane Glycoproteins / Q000235:genetics / Q000378:metabolism*; D042282:Microdissection; D008875:Middle Aged; D009363:Neoplasm Proteins / Q000235:genetics / Q000378:metabolism; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods; D011379:Prognosis; D017430:Prostate-Specific Antigen / Q000097:blood; D011471:Prostatic Neoplasms / Q000235:genetics / Q000378:metabolism* / Q000473:pathology; D012333:RNA, Messenger / Q000235:genetics; D012334:RNA, Neoplasm / Q000235:genetics; D016019:Survival Analysis
chemical_list: D020410:Activated-Leukocyte Cell Adhesion Molecule; D015703:Antigens, CD; D014408:Biomarkers, Tumor; D051927:CD24 Antigen; C497889:CD24 protein, human; D008562:Membrane Glycoproteins; D009363:Neoplasm Proteins; D012333:RNA, Messenger; D012334:RNA, Neoplasm; D017430:Prostate-Specific Antigen