title: Gene expression profile predicts patient survival of gastric cancer after surgical resection.
abstract: OBJECTIVE
  This study was conducted to characterize gene expression profile of survival in patients with surgically curable gastric cancer by using an in-house membrane microarray and developing a survival prediction model.
  
  
  METHODS
  Data of cDNA microarrays were obtained from 18 pairs of cancerous and noncancerous gastric tissues. Nine patients who survived > 30 months were identified as good survival, and the other nine, who survived < 12 months, were identified as poor survival. Supervised analysis was performed to identify a gene expression profile by good and poor survival. Semiquantitative reverse transcriptase polymerase chain reaction (RT-PCR) was used to confirm the microarray data in 10 patients with sufficient RNA. Using these 10 patients and another 10 patients selected randomly from 40 newly enrolled patients as the training group, the RT-PCR status of the confirmed genes was used for predicting good versus poor survival. Finally, the prediction model was tested in the remaining 30 newly enrolled gastric cancer patients.
  
  
  RESULTS
  A survival prediction model consisting of three genes (CD36, SLAM, PIM-1) was developed. This model could correctly predict poor or good survival in 23 (76.7%) of 30 newly enrolled patients, and yielded a specificity of 80% and a sensitivity of 73.3%. The survival rate of the patients predicted to have good survival was significantly higher than that of those predicted to have poor survival in the test group as a whole (N = 30; P = .00531) and in stage III patients (n = 16; P = .04467).
  
  
  CONCLUSIONS
  The semiquantitative RT-PCR gene expression profiling of three genes extracted from microarray study can accurately predict surgery-related outcome in gastric cancer patients.
authors.affiliation: Department of Surgery, Traumatology, Graduate Institute of Clinical Research, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.
authors.forename: Chiung-Nien
authors.initials: CN
authors.lastname: Chen
authors.forename: Jen-Jen
authors.initials: JJ
authors.lastname: Lin
authors.forename: Jeremy J W
authors.initials: JJ
authors.lastname: Chen
authors.forename: Po-Huang
authors.initials: PH
authors.lastname: Lee
authors.forename: Ching-Yao
authors.initials: CY
authors.lastname: Yang
authors.forename: Min-Liang
authors.initials: ML
authors.lastname: Kuo
authors.forename: King-Jen
authors.initials: KJ
authors.lastname: Chang
authors.forename: Fon-Jou
authors.initials: FJ
authors.lastname: Hsieh
mesh_terms: D005743:Gastrectomy; D020869:Gene Expression Profiling; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis; D011237:Predictive Value of Tests; D013274:Stomach Neoplasms / Q000235:genetics* / Q000401:mortality / Q000601:surgery; D016019:Survival Analysis; D016896:Treatment Outcome