Identification and Validation of an Energy Metabolism-Related lncRNA-mRNA Signature for Lower-Grade Glioma

Table 2

The optimal signature combination.

Symbol	Type	Expression (LGG vs. CK)		Expression (GBM vs. LGG)			Multivariate Cox regression analysis			LASSO coefficient
		logFC	FDR (GSE4290)	value (GSE4290)	value (CGGA)	value (TCGA)	HR	95% CI	value
GABPB1-AS1	lncRNA	1.07					0.9946	0.9899-0.9994		-0.05468
HAR1A	lncRNA	-1.51					0.9938	0.988-0.9996		-0.64387
LINC00599	lncRNA	-1.3					1.0035	1.0001-1.007		0.00904
SNAI3-AS1	lncRNA	-1.76					0.9817	0.9701-0.9934		-1.81399
SNHG1	lncRNA	1.3					1.0054	1.0004-1.0104		0.29846
FABP6	mRNA	-2.18					1.0062	1.004-1.0085		0.55872
MBOAT7	mRNA	-1.27				0	1.0084	1.0017-1.0152		0.77305
SLC25A1	mRNA	1.03				0	0.9955	0.9911-0.9999		-0.40797
UST	mRNA	1.47					0.9951	0.9914-0.9989		-0.55501

LGG: lower-grade gliomas; GBM: glioblastoma multiforme; CK: normal control; CGGA: Chinese Glioma Genome Atlas; TCGA: The Cancer Genome Atlas; FC: fold change; FDR: false discovery rate; HR: hazard ratio; CI: confidence interval; LASSO: least absolute shrinkage and selection operator.