YY1P1

RNA & survival
SurvivalRNAKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, YY1P1 RNA is linked to patient survival in 13 of 34 cancer types, making it the most broadly survival-associated YY1P1 data layer.

The strongest signal is observed in uterine carcinosarcoma (UCS), where higher YY1P1 RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated YY1P1 expression acts as an unfavorable survival marker, although some lineages such as ESCA and SKCM show a favorable association.

UCS, TGCT, and ESCA are the cancer types where YY1P1 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
UCSDFSTertileIV0.2300.767.00936view →
TGCTDFSTertileII,III,IV0.6741.000.00736view →
ESCAOSTertileIII,IV0.6000.280.01430view →
HNSCOSTertileIII,IV0.3990.717.00227view →
KIRCDFSQuartileIV0.3250.595.00327view →
LUSCDFSTertileIII,IV0.1040.744<.00126view →
COADDFSMedianIII,IV0.4770.695.01025view →
SKCMOSTertileII,III,IV0.6410.345.01124view →
OVOSQuartileIV0.5680.800.01912view →
KIRPDFSTertileAll0.8420.942.00412view →
THCADFSTertileIV0.6540.962.0179view →
READDFSTertileIV0.1790.671<.0019view →
Pink = unfavorable, green = favorable. Showing the 12 strongest of 13 lineages.

YY1P1–UCS (DFS)

Kaplan–Meier survival curve for YY1P1 RNA-high vs -low samples in UCS.

Open the UCS breakdown →

Exploration