Creation of a Prognostic Risk Prediction Model for Lung Adenocarcinoma Based on Gene Expression, Methylation, and Clinical Characteristics

06 October 2020: Database Analysis

Honggang Ke ^1CD* , Yunyu Wu ^2DEF* , Runjie Wang ^3CDF , Xiaohong Wu ^4AB*

DOI: 10.12659/MSM.925833

Med Sci Monit 2020; 26:e925833

Table 1 The gene expression profiling and methylation profiling datasets in this study.

GEO accession		Platform	Total probe number	Total sample	Normal sample	Cancer sample
Gene expression	GSE75037	GPL6884 Illumina	48803	166	83	83
	GSE33532	GPL570 Affymetrix	54675	60	40	20
	GSE43458	GPL6244 Affymetrix	33297	110	80	30
	GSE30219	GPL570 Affymetrix	54675	98	84	14
	GSE32863	GPL6884 Illumina	48803	116	58	58
	GSE10072	GPL96 Affymetrix	22283	107	58	49
Gene methylation	GSE32861	GPL8490 Illumina	27578	118	59	59
	GSE49996	GPL8490 Illumina	27578	88	44	44
	GSE63384	GPL8490 Illumina	27578	70	35	35
	GSE62948	GPL8490 Illumina	27578	56	28	28
GEO – Gene Expression Omnibus.