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Updated: May 23, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
Comparison of genomic signatures of non-small cell lung cancer recurrence between two microarray platforms
John Wen-Cheng Chang1, Nien-Chih Wei, Hung-Ju Su
1Division of Hematoloy-Oncology, Genomic Medicine Research Core Lab, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan, Taiwan, ROC.
Background:
Cancer genomic signatures may vary using different platforms. We compared the differential gene expression in non-small cell lung cancer (NSCLC) between two platforms in order to find the most relevant genomic signatures of tumor recurrence.
Materials And Methods:
We analyzed gene expression in frozen lung cancer tissue from 59 selected patients who had undergone surgical resection of NSCLC. These patients were divided into two groups: group R, patients who had a tumor recurrence within four years, n=37; group NR, patients who remained disease-free four years following initial surgery, n=22. Each RNA sample was assayed twice using both Affymetrix and Illumina GeneChip. Data were analyzed by principal component analysis and leave-one-out cross-validation.
Results:
Using the same filtering criteria, 13 genes that were differentially expressed between R and NR were identified by Affymetrix, while 21 genes were identified by Illumina GeneChip. In common, a total of six genes were detected by both systems. Using univariate analysis, four (lipocalin 2, LCN2; parathyroid hormone-like hormone, PTHLH; ras-related protein Rab-38, RAB38; and four jointed box 1, FJX1) of these six genes were associated with survival. A risk score of survival was calculated according to the four-gene expression. There was a significant difference in overall survival between low- and high-risk groups.
Conclusion:
A four-gene signature is associated with survival among patients with early-stage NSCLC. Further validation of these findings is warranted.
