IGHV3OR16-17

RNA & survival
SurvivalRNAKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, IGHV3OR16-17 RNA is linked to patient survival in 19 of 34 cancer types, making it the most broadly survival-associated IGHV3OR16-17 data layer compared with 3 for mutation status and 1 for mass-spec protein.

The strongest signal is observed in head and neck squamous cell carcinoma (HNSC), where higher IGHV3OR16-17 RNA is associated with better disease-free survival. In most high-consensus cancer types, elevated IGHV3OR16-17 expression acts as an unfavorable survival marker, although some lineages such as HNSC and SKCM show a favorable association.

HNSC, SKCM, and BRCA are the cancer types where IGHV3OR16-17 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
HNSCDFSMedianAll0.7510.640<.001144view →
SKCMOSMedianII,III,IV0.4090.217<.00183view →
BRCAOSTertileAll0.9760.936<.00150view →
CHOLDFSMedianAll0.7210.231.00148view →
BLCADFSMedianAll0.7000.478.00432view →
LGGOSTertileAll0.1900.532<.00130view →
COADOSQuartileIV0.7500.078<.00123view →
UVMOSTertileAll0.3160.719.02618view →
PAADOSTertileII,III,IV0.6580.426.01111view →
READDFSMedianIV0.8450.356.00110view →
UCECOSQuartileIII,IV0.7480.493.02110view →
CESCDFSQuartileAll0.8130.654.0158view →
Pink = unfavorable, green = favorable. Showing the 12 strongest of 19 lineages.

IGHV3OR16-17–HNSC (DFS)

Kaplan–Meier survival curve for IGHV3OR16-17 RNA-high vs -low samples in HNSC.

Open the HNSC breakdown →

Exploration