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Gene identification for risk of relapse in stage I lung adenocarcinoma patients: a combined methodology of gene expression profiling and computational gene network analysis
Risk assessment and treatment choice remains a challenge in early non-smallcell lung cancer (NSCLC). The aim of this study was to identify novel genes involved in the risk of early relapse (ER) compared to no relapse (NR) in resected lung adenocarcinoma (AD) patients using a combination of high thro...
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| Gepubliceerd in: | Oncotarget |
|---|---|
| Hoofdauteurs: | , , , , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Impact Journals LLC
2016
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5058701/ https://ncbi.nlm.nih.gov/pubmed/27081700 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18632/oncotarget.8723 |
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