title: Standardized genetic alteration score and predicted score for predicting recurrence status of gastric cancer.
abstract: OBJECTIVE
  To build a standardized genetic alteration score (SGAS) based on genes that are related to a patient's recurrence status, and to obtain the predicted score (PS) for predicting a patient's recurrence status, which reflects the genetic information of the gastric cancer patient.
  
  
  METHODS
  SGAS was constructed using linear combinations that best account for the variability in the data. This methodology was fit to and validated using cDNA microarray-based CGH data obtained from the Cancer Metastasis Research Center at Yonsei University.
  
  
  RESULTS
  When classifying cancer patients, the accuracy was 92.59% in the leave-one-out validation method.
  
  
  CONCLUSIONS
  SGAS provided PS for the risk of recurrence, which was capable of discriminating a patient's recurrence status. A total of 59 genes were found to have a high frequency of alteration in either the recurrence or non-recurrence status. SGAS was found to be a significant risk factor on recurrence and explained 31% variability of the 59 genes.
authors.affiliation: Institute for Mathematical Sciences, Yonsei University, 134 Shinchon-Dong, Seodaemun-Gu, Seoul 120-752, Korea. mjkim@yonsei.ac.kr
authors.forename: Mijung
authors.initials: M
authors.lastname: Kim
authors.forename: Hyun Cheol
authors.initials: HC
authors.lastname: Chung
mesh_terms: D000328:Adult; D000368:Aged; D005260:Female; D018628:Gene Dosage; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009364:Neoplasm Recurrence, Local / Q000453:epidemiology*; D011336:Probability; D013274:Stomach Neoplasms / Q000235:genetics*