Authors
Egon Urgard, Tõnu Vooder, Urmo Võsa, Kristjan Välk, Mingming Liu, Cheng Luo, Fabian Hoti, Retlav Roosipuu, Tarmo Annilo, Jukka Laine, Christopher M Frenz, Liqing Zhang, Andres Metspalu
Publication date
2011/1
Journal
Cancer informatics
Volume
10
Pages
CIN. S7135
Publisher
SAGE Publications
Description
NSCLC (non-small cell lung cancer) comprises about 80% of all lung cancer cases worldwide. Surgery is most effective treatment for patients with early-stage disease. However, 30%–55% of these patients develop recurrence within 5 years. Therefore, markers that can be used to accurately classify early-stage NSCLC patients into different prognostic groups may be helpful in selecting patients who should receive specific therapies.
A previously published dataset was used to evaluate gene expression profiles of different NSCLC subtypes. A moderated two-sample t-test was used to identify differentially expressed genes between all tumor samples and cancer-free control tissue, between SCC samples and AC/BC samples and between stage I tumor samples and all other tumor samples. Gene expression microarray measurements were validated using qRT-PCR.
Bayesian regression analysis and Kaplan-Meier …
Scholar articles
E Urgard, T Vooder, U Võsa, K Välk, M Liu, C Luo… - Cancer informatics, 2011