Characteristic Analysis from Excessive to Deficient Syndromes in Hepatocarcinoma Underlying miRNA Array Data

Table 2

KEGG and BIOCARTA terms distribution of downregulated genes (upexpression level of miRNAs) of TCM syndromes in HCC.

Category	Term	𝑃 value	FDR value
LGDHS
KEGG	Small cell lung cancer	0.0159	0.0141
LDSDS
KEGG	Pathways in cancer	0.0054	0.0022
KEGG	Pancreatic cancer	0.0142	0.0043
KEGG	Glioma	0.0015	0.0157
KEGG	Prostate cancer	0.0036	0.0171
KEGG	Small cell lung cancer	0.0013	0.0313
KEGG	Non-small cell lung cancer	0.0224	0.0113
KEGG	Cell cycle	0.0017	0.0156
KEGG	Endocytosis	0.0110	0.0233
KEGG	Focal adhesion	0.0476	0.0436
BIOCARTA	Influence of Ras and Rho proteins on G1 to S transition	0.0287	0.0144
BIOCARTA	Regulation of BAD phosphorylation	0.0131	0.0291
BIOCARTA	Cyclins and cell cycle regulation	0.0321	0.0323
BIOCARTA	Cell cycle:G1/S check point	0.0471	0.0437
LKYDS
KEGG	Prostate cancer	0.0048	0.0001
KEGG	Pathways in cancer	0.0001	0.0005
KEGG	Glioma	0.0001	0.0011
KEGG	Small cell lung cancer	0.0015	0.0013
KEGG	Melanoma	0.0019	0.0025
KEGG	Non-small-cell lung cancer	0.0020	0.0021
KEGG	Pancreatic cancer	0.0021	0.0022
KEGG	Chronic myeloid leukemia	0.0072	0.0813
KEGG	Apoptosis	0.0145	0.0163
KEGG	Acute myeloid leukemia	0.0436	0.0413
BIOCARTA	Y branching of actin filaments	0.0066	0.0771
BIOCARTA	NFAT and hypertrophy of the heart (transcription in the broken heart)	0.0108	0.0122
BIOCARTA	Influence of Ras and Rho proteins on G1 to S transition	0.0108	0.0122
BIOCARTA	Human cytomegalovirus and map kinase pathways	0.0136	0.0151
BIOCARTA	Overview of telomerase RNA component gene hTerc transcriptional regulation	0.0257	0.0268