BMS1P13

RNA & survival
SurvivalRNAKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, BMS1P13 RNA is linked to patient survival in 11 of 34 cancer types, making it the most broadly survival-associated BMS1P13 data layer.

The strongest signal is observed in kidney chromophobe (KICH), where higher BMS1P13 RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated BMS1P13 expression acts as an unfavorable survival marker, although some lineages such as SKCM and OV show a favorable association.

KICH, LIHC, and KIRC are the cancer types where BMS1P13 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
KICHDFSTertileAll0.3740.921<.001105view →
LIHCOSTertileAll0.5260.793<.00190view →
KIRCDFSTertileAll0.5070.821<.00160view →
LUADDFSTertileIV0.3420.893<.00145view →
SKCMDFSTertileAll0.3200.190.01330view →
MESODFSTertileIII,IV0.1720.394.00727view →
THCADFSTertileIV0.4730.965<.00124view →
ACCOSTertileIV0.3270.633.04518view →
OVOSTertileIV0.9720.700.0346view →
LGGDFSTertileAll0.2200.453.0353view →
STADOSQuartileIV0.1740.454.0223view →
Pink = unfavorable, green = favorable. Showing the 11 strongest of 11 lineages.

BMS1P13–KICH (DFS)

Kaplan–Meier survival curve for BMS1P13 RNA-high vs -low samples in KICH.

Open the KICH breakdown →

Exploration