Mijung Kim1, Hyun Cheol Chung. 1. Institute for Mathematical Sciences, Yonsei University, 134 Shinchon-Dong, Seodaemun-Gu, Seoul 120-752, Korea. mjkim@yonsei.ac.kr
Abstract
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.
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 cancerpatient. 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 cancerpatients, 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: Chan Hee Park; Ha Jin Jeong; Yeon Ho Choi; Sang Cheol Kim; Hei Chul Jeong; Kyu Hyun Park; Gui Yeon Lee; Tae Soo Kim; Sang Wha Yang; Sung Whan Ahn; Yang Seok Kim; Sun Young Rha; Hyun Cheol Chung Journal: Int J Mol Med Date: 2006-02 Impact factor: 4.101
Authors: Sang Hwa Yang; Min Young Seo; Ha Jin Jeong; Hei-Cheul Jeung; Jihye Shin; Sang Chul Kim; Sung Hoon Noh; Hyun Cheol Chung; Sun Young Rha Journal: Clin Cancer Res Date: 2005-01-15 Impact factor: 12.531
Authors: Jeremy A Squire; Jianming Pei; Paula Marrano; Ben Beheshti; Jane Bayani; Gloria Lim; Laura Moldovan; Maria Zielenska Journal: Genes Chromosomes Cancer Date: 2003-11 Impact factor: 5.006