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Identification of Survival-Associated Transcripts and DNA Methylation Sites

DC Donglai Chen
YS Yueqiang Song
FZ Fuquan Zhang
XW Xiaofan Wang
EZ Erjia Zhu
XZ Xi Zhang
GJ Gening Jiang
SL Siguang Li
CC Chang Chen
YC Yongbing Chen
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A Cox regression model was used to evaluate the association of gene transcripts (mRNA or miRNA) and DNA methylation sites with lengths of overall survival (OS). A univariate Cox regression analysis was initially used, followed by the screening of included potential factors with a p ≤ 0.1 for further analysis.

Afterward, considering the remaining large numbers of gene transcripts and methylated sites, we performed a Lasso-Cox analysis to screen and shrink the data. We then used multivariate Cox regression to further analyze the association between the gene transcripts or DNA methylation sites with OS, while adjusting for other clinicopathological factors.

Copyright and License information:  ©2019 Chen, Song, Zhang, Wang, Zhu, Zhang, Jiang, Li, Chen and Chen.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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