Standardized genetic alteration score and predicted score for predicting recurrence status of gastric cancer

Mijung Kim, Hyuncheol Chung

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1501-1512
Number of pages12
JournalJournal of cancer research and clinical oncology
Volume135
Issue number11
DOIs
Publication statusPublished - 2009 May 18

Fingerprint

Stomach Neoplasms
Recurrence
Genes
Oligonucleotide Array Sequence Analysis
Neoplasms
Neoplasm Metastasis
Research

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

Cite this

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title = "Standardized genetic alteration score and predicted score for predicting recurrence status of gastric cancer",
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.",
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Standardized genetic alteration score and predicted score for predicting recurrence status of gastric cancer. / Kim, Mijung; Chung, Hyuncheol.

In: Journal of cancer research and clinical oncology, Vol. 135, No. 11, 18.05.2009, p. 1501-1512.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Standardized genetic alteration score and predicted score for predicting recurrence status of gastric cancer

AU - Kim, Mijung

AU - Chung, Hyuncheol

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N2 - 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.

AB - 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.

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