title: [Simplified, low-cost gene expression profiling for the prediction of outcome in breast cancer based on routine histologic specimens].
abstract: BACKGROUND
  Grade 2 breast carcinomas do not form a uniform prognostic group.
  
  
  OBJECTIVE
  To extend the number of patients and the investigated genes of a previously identified prognostic signature described by the authors that reflect chromosomal instability in order to refine characterization of grade 2 breast cancers and identify driver genes.
  
  
  METHODS
  Using publicly available databases, the authors selected 9 target and 3 housekeeping genes that are capable to divide grade 2 breast carcinomas into prognostic groups. Gene expression was investigated by polymerase chain reaction in 249 formalin-fixed, paraffin-embedded breast tumors. The results were correlated with relapse-free survival.
  
  
  RESULTS
  Histologically grade 2 carcinomas were split into good and a poor prognosis groups. Centroid-based ranking showed that 3 genes, FOXM1, TOP2A and CLDN4 were able to separate the good and poor prognostic groups of grade 2 breast carcinomas.
  
  
  CONCLUSIONS
  Using appropriately selected control genes, a limited set of genes is able to split prognostic groups of breast carcinomas independently from their grade.
authors.affiliation: Semmelweis Egyetem, Általános Orvotudományi Kar II. Patológiai Intézet Budapest Üllői út 93. 1091. cac@korb2@sote.hu
authors.forename: A Marcell
authors.initials: AM
authors.lastname: Szász
authors.forename: Balázs
authors.initials: B
authors.lastname: Ács
authors.forename: Emese
authors.initials: E
authors.lastname: Ágoston
authors.forename: Zsófia
authors.initials: Z
authors.lastname: Sztupinszki
authors.forename: Anna-Mária
authors.initials: AM
authors.lastname: Tőkés
authors.forename: Liliána
authors.initials: L
authors.lastname: Szittya
authors.forename: Borbála
authors.initials: B
authors.lastname: Székely
authors.forename: Miklós
authors.initials: M
authors.lastname: Szendrői
authors.forename: Qiyuan
authors.initials: Q
authors.lastname: Li
authors.forename: László
authors.initials: L
authors.lastname: Harsányi
authors.forename: József
authors.initials: J
authors.lastname: Tímár
authors.forename: Zoltán
authors.initials: Z
authors.lastname: Szállási
authors.forename: Charles
authors.initials: C
authors.lastname: Swanton
authors.forename: Balázs
authors.initials: B
authors.lastname: Győrffy
authors.forename: Janina
authors.initials: J
authors.lastname: Kulka
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001943:Breast Neoplasms / Q000378:metabolism* / Q000473:pathology* / Q000628:therapy; D003198:Computer Simulation; D018572:Disease-Free Survival; D005260:Female; D005404:Fixatives; D005557:Formaldehyde; D020869:Gene Expression Profiling / Q000191:economics / Q000379:methods*; D015972:Gene Expression Regulation, Neoplastic; D017048:Health Care Costs; D006801:Humans; D008875:Middle Aged; D060787:Neoplasm Grading; D016612:Paraffin Embedding; D016133:Polymerase Chain Reaction / Q000379:methods; D011237:Predictive Value of Tests; D011379:Prognosis; D016896:Treatment Outcome
chemical_list: D005404:Fixatives; D005557:Formaldehyde