응용통계연구 (The Korean Journal of Applied Statistics)

  • 제23권4호
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  • Pages.705-713
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  • 2010
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  • 1225-066X(pISSN)
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  • 2383-5818(eISSN)
한국통계학회 (The Korean Statistical Society)
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DLBCL 환자의 대사경로 정보를 이용한 생존예측

Predicting Survival of DLBCL Patients in Pathway-Based Microarray Analysis

  • 이광현 (세종대학교 응용통계학) ;
  • 이선호 (세종대학교 응용통계학)
  • Lee, Kwang-Hyun (Department of Applied Statistics, Sejong University) ;
  • Lee, Sun-Ho (Department of Applied Statistics, Sejong University)
  • 투고 : 20100400
  • 심사 : 20100500
  • 발행 : 2010.08.31
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초록

마이크로어레이 실험 결과로부터 생존예측지표를 개발하는 일은 관찰 유전자수가 환자의 수보다 훨씬 많고 또 반응변수가 중도절단이 포함된 생존시간이기 때문에 어려운 작업이다. 또한 개별유전자 분석의 문제점이 대두되면서 동일한 대사기능을 수행하는 유전자들의 집합을 대상으로 분석하는 방법이 대두되고 있다. DLBCL 환자들의 마이크로어레이 유전자 발현 자료와 생존시간, 유전자들의 대사경로 정보를 바탕으로 생물학적 해석이 쉬운 생존예측지표를 찾고 그 정확성을 검정하는 pilot study를 실시하였다. 또한 유전자 걸러내기가 지표의 효율성에 미치는 영향력도 비교하여 보았다.

Predicting survival from microarray data is not easy due to the problem of high dimensionality of data and the existence of censored observations. Also the limitation of individual gene analysis causes the shift of focus to the level of gene sets with functionally related genes. For developing a survival prediction model based on pathway information, the methods for selecting a supergene using principal component analysis and testing its significance for each pathway are discussed. Besides, the performance of gene filtering is compared.

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