Deadenylation-dependent decapping of nuclear-transcribed mRNA

pathway activity & survival
GO:0000290SurvivalRNA activityKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, RNA activity of the Deadenylation-dependent decapping of nuclear-transcribed mRNA pathway is associated with patient survival in 22 of 34 cancer lineages. Pathway activity is summarized from the expression of its 11 member genes.

The strongest signal is observed in kidney renal clear cell carcinoma (KIRC), where higher Deadenylation-dependent decapping of nuclear-transcribed mRNA pathway activity is associated with poorer disease-free survival. In most high-consensus cancer types, elevated pathway activity shows an unfavorable survival association, although some cancer types, such as BRCA and SCLC, show the opposite pattern, with higher activity associated with better survival.

KIRC, MESO, and KIRP are the cancer lineages in which this pathway most reproducibly stratifies patient survival.

Pathway-activity survival associations by lineage

Ranked by sampling consensus. AUC1 and AUC2 represent the survival AUCs for the high- and low-pathway-activity groups, respectively. The group with the lower AUC is interpreted as having poorer survival. The reported p-values are derived from the log-rank test.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRCDFSQuartileIV0.1990.714<.00197view →
MESOOSMedianAll0.2510.504<.00184view →
KIRPDFSMedianAll0.5050.653<.00181view →
ACCDFSTertileIV0.1300.601.00147view →
BLCAOSQuartileIV0.1440.476<.00135view →
BRCADFSMedianIII,IV0.9270.824.00333view →
STADDFSQuartileAll0.5740.818.01532view →
SCLCOSMedianIII,IV0.7520.494.00824view →
DLBCDFSQuartileAll0.1870.859.00222view →
UVMDFSMedianIII,IV0.2080.740.00614view →
KICHOSQuartileAll0.6021.000.03113view →
THYMOSMedianAll0.9810.729.01213view →
Pink = unfavorable, green = favorable. Showing the 12 strongest of 22 lineages.

GO:0000290–KIRC (DFS)

Kaplan–Meier survival curve for Deadenylation-dependent decapping of nuclear-transcribed mRNA pathway activity in KIRC.

Open the KIRC breakdown →

Exploration