Purpose: 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.
Bibliographical noteFunding Information:
Acknowledgments This work was supported by the Korean Research Foundation Grant funded by the Korean Government (MOEHRD) (R03-2004-000-10048-0). The authors would like to express gratitude to Cancer Metastasis Research Center at Yonsei University for the permission to use their data, and also thank Jin-Hyung Kim for his assistance in this study.
All Science Journal Classification (ASJC) codes
- Cancer Research