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. 2021 May 13;9:654103. doi: 10.3389/fcell.2021.654103

Table 1.

Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis links MET to highly tumorigenic pathways.

Description Count in gene set False discovery rate
Proteoglycans in cancer 7 of 195 1.83e−08
Pathways in cancer 9 of 515 1.83e−08
Signaling pathways regulating pluripotency of stem cells 6 of 138 7.64e−08
Central carbon metabolism in cancer 5 of 65 8.93e−08
MicroRNAs in cancer 6 of 149 8.93e−08
EGFR tyrosine kinase inhibitor resistance 5 of 78 1.67e−07
PI3K-Akt signaling pathway 7 of 348 2.00e−07
Jak-STAT signaling pathway 5 of 160 2.64e−06
MAPK signaling pathway 5 of 293 3.07e−05
FoxO signaling pathway 4 of 130 3.24e−05
Glioma 3 of 68 0.00013
TNF signaling pathway 3 of 108 0.00034
Transcriptional misregulation in cancer 3 of 169 0.00097
mTOR signaling pathway 3 of 148 0.00070
VEGF signaling pathway 2 of 59 0.0027
TGF-beta signaling pathway 2 of 83 0.0046

The Kyoto Encyclopedia of Genes and Genomes (KEGG) database, used to integrate and interpret large-scale data from genome sequencing and other high-throughput experimental techniques such as proteomics analysis, has revealed the top pathways in which these interactions are involved. Abbreviations: EGFR, epidermal growth factor receptor; PI3K-AKT, phosphoinositide 3-kinase-AK strain transforming; Jak-STAT, Janus kinase and signal transducer and activator of transcription; MAPK, mitogen-activated protein kinase; FOXO, class O of forkhead box transcription factors; TNF, tumor necrosis factor; mTOR, mechanistic (formerly “mammalian”) target of rapamycin; VEGFR, vascular endothelial growth factor receptor; TGF-β, transforming growth factor β.