Effects of sample size on robustness and prediction accuracy of a prognostic gene signature = 샘플 크기가 예후 유전자 세트의 정확도에 미치는 영향

Cited 70 time in scopus
Metadata Downloads
Title
Effects of sample size on robustness and prediction accuracy of a prognostic gene signature = 샘플 크기가 예후 유전자 세트의 정확도에 미치는 영향
Author(s)
Seon-Young Kim
Bibliographic Citation
BMC Bioinformatics, vol. 10, pp. 147-147
Publication Year
2009
Abstract
BACKGROUND: Few overlap between independently developed gene signatures and poor inter-study applicability of gene signatures are two of major concerns raised in the development of microarray-based prognostic gene signatures. One recent study suggested that thousands of samples are needed to generate a robust prognostic gene signature. RESULTS: A data set of 1,372 samples was generated by combining eight breast cancer gene expression data sets produced using the same microarray platform and, using the data set, effects of varying samples sizes on a few performances of a prognostic gene signature were investigated. The overlap between independently developed gene signatures was increased linearly with more samples, attaining an average overlap of 16.56% with 600 samples. The concordance between predicted outcomes by different gene signatures also was increased with more samples up to 94.61% with 300 samples. The accuracy of outcome prediction also increased with more samples. Finally, analysis using only Estrogen Receptor-positive (ER+) patients attained higher prediction accuracy than using both patients, suggesting that sub-type specific analysis can lead to the development of better prognostic gene signatures CONCLUSION: Increasing sample sizes generated a gene signature with better stability, better concordance in outcome prediction, and better prediction accuracy. However, the degree of performance improvement by the increased sample size was different between the degree of overlap and the degree of concordance in outcome prediction, suggesting that the sample size required for a study should be determined according to the specific aims of the study.
ISSN
1471-2105
Publisher
Springer-BMC
DOI
http://dx.doi.org/10.1186/1471-2105-10-147
Type
Article
Appears in Collections:
1. Journal Articles > Journal Articles
Files in This Item:

Items in OpenAccess@KRIBB are protected by copyright, with all rights reserved, unless otherwise indicated.