Standardized genetic alteration score and predicted score for predicting recurrence status of gastric cancer.
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.
Kim
Mijung
M
Institute for Mathematical Sciences, Yonsei University, 134 Shinchon-Dong, Seodaemun-Gu, Seoul 120-752, Korea. mjkim@yonsei.ac.kr
Chung
Hyun Cheol
HC
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*