Identification of Potential Key Genes and Prognostic Biomarkers of Lung Cancer Based on Bioinformatics

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="1"><hr/></td></tr><tr><td class="align_center">Gene name</td></tr><tr><td class="align_left">CDKN3, KIF4A, BUB1, CEP55, CHEK1, STIL, RRM2, CDC6, DEPDC1, CDK1, ASPM, TTK, TYMS, TPX2, TOP2A, KIF11, CDC20, DLGAP5, CCNB2, CENPF, KIF14, HMMR, GINS1, MELK, MKI67, KIAA0101, CCNB1, PBK, ECT2, EZH2, CCNA2, FOXM1, and PRC1</td></tr><tr class="table-tr"><td colspan="1"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Thirty-three core genes verified by MCODE plug-in analysis in Cytoscape software.</div>

BioMed Research International

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Table 1

Table 1: Identification of Potential Key Genes and Prognostic Biomarkers of Lung Cancer Based on Bioinformatics 