MIR5093

RNA & survival
SurvivalRNAKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, MIR5093 RNA is linked to patient survival in 14 of 34 cancer types, making it the most broadly survival-associated MIR5093 data layer.

The strongest signal is observed in uterine carcinosarcoma (UCS), where higher MIR5093 RNA is associated with better disease-free survival. In most high-consensus cancer types, elevated MIR5093 expression acts as an unfavorable survival marker, although some lineages such as UCS and BRCA show a favorable association.

UCS, COAD, and KIRC are the cancer types where MIR5093 RNA most reproducibly stratifies survival.

RNA survival associations by lineage

Ranked by sampling consensus. AUC1 and AUC2 indicate survival in the high- and low-expression groups, respectively; the lower AUC marks the poorer-surviving group. p-values are from the log-rank test.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UCSDFSTertileII,III,IV0.7430.311.00296view →
COADDFSTertileAll0.2250.536.00157view →
KIRCDFSTertileII,III,IV0.2930.676.00254view →
MESOOSTertileAll0.0920.559.00345view →
BRCAOSTertileIII,IV0.7140.478<.00142view →
KIRPDFSTertileII,III,IV0.1850.792.00242view →
LGGOSMedianAll0.6350.412<.00131view →
BLCADFSTertileAll0.1710.512.00218view →
LUADOSTertileIII,IV0.8780.436.01418view →
CESCOSTertileIII,IV0.1670.657.04418view →
STADDFSTertileIV0.5200.250.0339view →
THCADFSTertileIV0.4910.856.0329view →
Pink = unfavorable, green = favorable. Showing the 12 strongest of 14 lineages.

MIR5093–UCS (DFS)

Kaplan–Meier survival curve for MIR5093 RNA-high vs -low samples in UCS.

Open the UCS breakdown →

Exploration