作者:
Kim, MijungChung, Hyun CheolYonsei Univ
Inst Math Sci Seoul 120752 South Korea Yonsei Univ
Brain Korea Project Med Sci 21 Dept Internal Med Canc Metastasis Res CtrColl Med Seoul 120752 South Korea
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, wh...
详细信息
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. 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. When classifying cancer patients, the accuracy was 92.59% in the leave-one-out validation method. 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.
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